CN116661330A - Collaborative operation method of intelligent home system and intelligent home system - Google Patents
Collaborative operation method of intelligent home system and intelligent home system Download PDFInfo
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Abstract
The invention relates to the technical field of intelligent home systems, in particular to a collaborative operation method of an intelligent home system and the intelligent home system. The method comprises the following steps: performing sign connection acquisition processing on intelligent household equipment in the intelligent household system by using a sign recognition technology and a wireless communication technology to obtain intelligent household equipment environment data; performing noise reduction regulation and control processing by using an environment intelligent noise reduction algorithm and an intelligent analysis algorithm to obtain intelligent household equipment regulation and control information; carrying out cooperative operation processing by utilizing a cooperative interactive communication program and a cooperative operation control program, and carrying out self-adaptive detection optimization processing by utilizing an intelligent detection technology and an optimization scheduling algorithm to obtain a cooperative operation optimization result of the intelligent home equipment; and performing feedback monitoring and learning updating processing by introducing a feedback device to execute a collaborative operation adjustment scheduling strategy. The intelligent home system and the intelligent home system control method thereof improve the overall performance and the user satisfaction of the intelligent home system through real-time detection and management of cooperative operation.
Description
Technical Field
The invention relates to the technical field of intelligent home systems, in particular to a collaborative operation method of an intelligent home system and the intelligent home system.
Background
Along with the development of the internet of things technology, the intelligent home system gradually goes into home life. Smart home systems typically include various sensors, devices, and controllers that enable interconnection and automated control of smart home devices. However, in conventional smart home systems, each smart home device typically works independently, lacking the ability to operate cooperatively, resulting in limitations in the overall performance and user experience of the smart home system.
Disclosure of Invention
Accordingly, the present invention is directed to a method for collaborative operation of an intelligent home system, which solves at least one of the above-mentioned problems.
In order to achieve the above purpose, a collaborative operation method of an intelligent home system includes the following steps:
step S1: performing mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; acquiring and processing data of an intelligent household equipment network through a sensor to obtain environment data of the intelligent household equipment;
Step S2: performing noise reduction processing on the environmental data of the intelligent household equipment by using an environmental intelligent noise reduction algorithm to obtain the environmental noise reduction data of the intelligent household equipment; performing environment regulation analysis processing on the intelligent household equipment environment noise reduction data by utilizing an intelligent analysis algorithm to obtain intelligent household equipment regulation information;
step S3: carrying out cooperative sharing processing on the intelligent home equipment regulation and control information by utilizing a cooperative interactive communication program to obtain intelligent home equipment cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program to obtain an intelligent home device collaborative operation result;
step S4: performing self-adaptive detection processing on the intelligent home equipment cooperative operation result by using an intelligent detection technology to obtain an intelligent home equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
step S5: the intelligent home equipment operation feedback information is obtained by introducing a feedback device into the intelligent home system to perform feedback monitoring processing on the intelligent home equipment collaborative operation optimization result; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
According to the invention, the intelligent household equipment in the intelligent household system is subjected to mark processing by using an advanced mark recognition technology, so that the accurate mark of each intelligent household equipment can be ensured, and the system instability possibly caused by recognition errors is eliminated. The marking intelligent home equipment can be connected into an intelligent home equipment network by using a wireless communication technology to carry out communication link connection processing on the marking intelligent home equipment, so that reliable and efficient communication between the marking intelligent home equipment is realized. The sensor is used for acquiring and processing the data of the intelligent home equipment network, so that abundant environment data of the intelligent home equipment are obtained, precious data sources are provided for the follow-up noise reduction process and intelligent analysis, and the functions and the efficiency of the intelligent home system are further improved. Noise reduction processing is carried out on the environmental data of the intelligent household equipment by using a proper environmental intelligent noise reduction algorithm so as to eliminate noise interference of the environmental data of the intelligent household equipment, and the quality and accuracy of the environmental data of the intelligent household equipment can be effectively improved. Meanwhile, through deep analysis and processing of the noise reduction data by the intelligent analysis algorithm, hidden features and trends in the environment of the intelligent household equipment can be revealed, and an important basis is provided for environment regulation and control of the intelligent household equipment. The processing and analyzing results are beneficial to optimizing the performance of the intelligent household equipment and enhancing the intelligent degree of the intelligent household system, so that the life quality and comfort level of users are improved. Then, the intelligent household equipment regulation information is subjected to cooperative sharing processing by using a cooperative interactive communication program, so that information exchange and sharing among the intelligent household equipment can be realized. Under the guidance of the cooperative operation control program, the shared regulation and control information is correspondingly processed and executed, so that the cooperative operation of the intelligent household equipment is promoted. The collaboration and sharing mechanism enables the intelligent home equipment to better adapt to the requirements of users, so that the flexibility, the intelligence and the automation level of the intelligent home system are improved, and better intelligent home experience is brought to the users. In addition, by using the intelligent detection technology to carry out self-adaptive detection processing on the cooperative operation result of the intelligent household equipment, potential faults or performance problems can be found in time. And the collaborative operation detection result of the intelligent household equipment is adjusted and optimized by using an optimized scheduling algorithm, so that the collaborative operation performance and efficiency of the intelligent household equipment are further improved. The stability, reliability and safety of the intelligent home system can be effectively improved through the implementation of self-adaptive detection and optimal scheduling, so that the cooperative operation of the intelligent home equipment is ensured to meet the expected target. And finally, monitoring the collaborative operation optimization result of the intelligent household equipment by introducing a feedback device, and obtaining timely feedback information about the collaborative operation of the intelligent household equipment. Based on the cooperative operation feedback information, a corresponding cooperative operation adjustment scheme is formulated, and learning and updating are carried out on the cooperative operation adjustment scheme so as to realize a more accurate cooperative operation scheduling strategy. The feedback monitoring and learning updating mechanism is beneficial to optimizing the cooperative operation effect of the intelligent home equipment, and improving the adaptability and response capability of the intelligent home system so as to realize continuous optimization and progress of the cooperative operation of the intelligent home equipment, thereby improving the overall performance and user experience of the intelligent home system.
Preferably, the present invention also provides an intelligent home system, including:
the intelligent household equipment processing module is used for identifying and processing the intelligent household equipment in the intelligent household system by using a mark identification technology to obtain mark intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; the intelligent household equipment network is subjected to data acquisition and processing through the sensor, so that environment data of the intelligent household equipment are obtained;
the environment data noise reduction analysis module is used for carrying out noise reduction processing on the environment data of the intelligent household equipment by utilizing an environment intelligent noise reduction algorithm to obtain the environment noise reduction data of the intelligent household equipment; the intelligent analysis algorithm is utilized to carry out environment regulation analysis processing on the intelligent household equipment environment noise reduction data, so that intelligent household equipment regulation information is obtained;
the device cooperative interaction operation module is used for carrying out cooperative sharing processing on the intelligent household device regulation and control information by utilizing a cooperative interaction communication program to obtain intelligent household device cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program, so as to obtain an intelligent home device collaborative operation result;
The intelligent detection optimization processing module is used for carrying out self-adaptive detection processing on the intelligent household equipment cooperative operation result by utilizing an intelligent detection technology to obtain an intelligent household equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
the feedback adjustment learning updating module is used for carrying out feedback monitoring processing on the collaborative operation optimization result of the intelligent home equipment by introducing a feedback device into the intelligent home system to obtain operation feedback information of the intelligent home equipment; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
In summary, the invention provides an intelligent home system, which is composed of an intelligent home device processing module, an environmental data noise reduction analysis module, a device collaborative interaction operation module, an intelligent detection optimization processing module and a feedback adjustment learning updating module, so that the collaborative operation method of any one of the intelligent home systems can be realized, the collaborative operation method of the intelligent home system can be realized by combining the operation among computer programs operated on each module, the internal structures of the systems are mutually cooperated, and the intelligent home system can carry out real-time detection and management collaborative operation on the intelligent home devices by utilizing various algorithms, technologies and control programs, thereby greatly reducing repeated work and labor investment and providing more intelligence. The intelligent home experience is convenient and personalized to improve the overall performance and user satisfaction of the intelligent home system, so that the operation flow of the intelligent home system is simplified.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of a non-limiting implementation, made with reference to the accompanying drawings in which:
FIG. 1 is a flow chart of steps of a method for collaborative operation of an intelligent home system of the present invention;
FIG. 2 is a detailed step flow chart of step S2 in FIG. 1;
fig. 3 is a detailed step flow chart of step S22 in fig. 2.
Detailed Description
The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.
Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
To achieve the above objective, referring to fig. 1 to 3, the present invention provides a cooperative operation method of an intelligent home system, the method includes the following steps:
step S1: performing mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; acquiring and processing data of an intelligent household equipment network through a sensor to obtain environment data of the intelligent household equipment;
Step S2: performing noise reduction processing on the environmental data of the intelligent household equipment by using an environmental intelligent noise reduction algorithm to obtain the environmental noise reduction data of the intelligent household equipment; performing environment regulation analysis processing on the intelligent household equipment environment noise reduction data by utilizing an intelligent analysis algorithm to obtain intelligent household equipment regulation information;
step S3: carrying out cooperative sharing processing on the intelligent home equipment regulation and control information by utilizing a cooperative interactive communication program to obtain intelligent home equipment cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program to obtain an intelligent home device collaborative operation result;
step S4: performing self-adaptive detection processing on the intelligent home equipment cooperative operation result by using an intelligent detection technology to obtain an intelligent home equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
step S5: the intelligent home equipment operation feedback information is obtained by introducing a feedback device into the intelligent home system to perform feedback monitoring processing on the intelligent home equipment collaborative operation optimization result; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
In the embodiment of the present invention, please refer to fig. 1, which is a schematic diagram of a step flow of a collaborative operation method of an intelligent home system, in this example, the steps of the collaborative operation method of the intelligent home system include:
step S1: performing mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; acquiring and processing data of an intelligent household equipment network through a sensor to obtain environment data of the intelligent household equipment;
according to the embodiment of the invention, the unique identifiable mark is designed for each intelligent household device in the intelligent household system, the mark on the intelligent household device is identified by using the mark identification technology, and the intelligent household device is associated with the corresponding mark identification result, so that the marked intelligent household device is obtained. And then, carrying out communication link connection processing on the marked intelligent home equipment by using a wireless communication technology, and carrying out reliable communication link connection aiming at the wireless communication protocol supported by each marked intelligent home equipment to obtain an intelligent home equipment network. And finally, acquiring data related to the intelligent home equipment network by using a sensor to acquire the data of the intelligent home equipment network, and finally obtaining the environment data of the intelligent home equipment.
Step S2: performing noise reduction processing on the environmental data of the intelligent household equipment by using an environmental intelligent noise reduction algorithm to obtain the environmental noise reduction data of the intelligent household equipment; performing environment regulation analysis processing on the intelligent household equipment environment noise reduction data by utilizing an intelligent analysis algorithm to obtain intelligent household equipment regulation information;
according to the embodiment of the invention, the noise of the environmental data of the intelligent household equipment is subjected to integral smooth noise reduction processing by setting a proper environmental intelligent noise reduction algorithm, so that the influence of a noise source in the environmental data to be reduced of the intelligent household equipment is eliminated, and the environmental noise reduction data of the intelligent household equipment is obtained. And then, carrying out environment regulation and control analysis processing on the environmental noise reduction data of the intelligent household equipment by constructing a proper intelligent analysis algorithm, and analyzing the regulation and control information such as the working state and the resource allocation of the intelligent household equipment to finally obtain the intelligent household equipment regulation and control information.
Step S3: carrying out cooperative sharing processing on the intelligent home equipment regulation and control information by utilizing a cooperative interactive communication program to obtain intelligent home equipment cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program to obtain an intelligent home device collaborative operation result;
According to the embodiment of the invention, the cooperative interaction communication program consisting of the cooperative interaction control program, the network communication control program and the cooperative sharing control program is used for carrying out cooperative sharing processing on the intelligent household equipment regulation and control information, so that cooperative communication and shared regulation and control information among intelligent household equipment are realized, and the intelligent household equipment cooperative sharing information is obtained. And then, performing equipment collaborative operation processing on the intelligent home equipment collaborative sharing information by using a collaborative operation control program consisting of an equipment scheduling control program, a task allocation control program and a priority control program, performing collaborative scheduling and control on the operation of each intelligent home equipment according to the intelligent home equipment collaborative sharing information, performing real-time resource allocation and task scheduling, and finally obtaining an intelligent home equipment collaborative operation result.
Step S4: performing self-adaptive detection processing on the intelligent home equipment cooperative operation result by using an intelligent detection technology to obtain an intelligent home equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
According to the embodiment of the invention, the intelligent detection technology is used for carrying out self-adaptive detection processing on the cooperative operation result of the intelligent household equipment by using a specially designed detection model, and the operation condition of the intelligent household equipment is detected in real time to obtain the cooperative operation detection result of the intelligent household equipment. And then, an abnormal condition data set of the intelligent household equipment collaborative operation detection result is adjusted and optimized by constructing a proper optimization scheduling algorithm, and finally, the intelligent household equipment collaborative operation optimization result is obtained.
Step S5: the intelligent home equipment operation feedback information is obtained by introducing a feedback device into the intelligent home system to perform feedback monitoring processing on the intelligent home equipment collaborative operation optimization result; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
According to the embodiment of the invention, the feedback device is introduced into the intelligent home system and is used for monitoring the cooperative operation state and performance of the intelligent home equipment, and the feedback information of the cooperative operation optimization result of the intelligent home equipment is obtained in real time, so that the operation feedback information of the intelligent home equipment is obtained. And then, analyzing and evaluating the operation feedback information of the intelligent home equipment, formulating a corresponding collaborative operation adjustment scheme according to an evaluation result, and learning and updating the formulated collaborative operation adjustment scheme to execute a corresponding collaborative operation adjustment scheduling strategy.
According to the invention, the intelligent household equipment in the intelligent household system is subjected to mark processing by using an advanced mark recognition technology, so that the accurate mark of each intelligent household equipment can be ensured, and the system instability possibly caused by recognition errors is eliminated. The marking intelligent home equipment can be connected into an intelligent home equipment network by using a wireless communication technology to carry out communication link connection processing on the marking intelligent home equipment, so that reliable and efficient communication between the marking intelligent home equipment is realized. The sensor is used for acquiring and processing the data of the intelligent home equipment network, so that abundant environment data of the intelligent home equipment are obtained, precious data sources are provided for the follow-up noise reduction process and intelligent analysis, and the functions and the efficiency of the intelligent home system are further improved. Noise reduction processing is carried out on the environmental data of the intelligent household equipment by using a proper environmental intelligent noise reduction algorithm so as to eliminate noise interference of the environmental data of the intelligent household equipment, and the quality and accuracy of the environmental data of the intelligent household equipment can be effectively improved. Meanwhile, through deep analysis and processing of the noise reduction data by the intelligent analysis algorithm, hidden features and trends in the environment of the intelligent household equipment can be revealed, and an important basis is provided for environment regulation and control of the intelligent household equipment. The processing and analyzing results are beneficial to optimizing the performance of the intelligent household equipment and enhancing the intelligent degree of the intelligent household system, so that the life quality and comfort level of users are improved. Then, the intelligent household equipment regulation information is subjected to cooperative sharing processing by using a cooperative interactive communication program, so that information exchange and sharing among the intelligent household equipment can be realized. Under the guidance of the cooperative operation control program, the shared regulation and control information is correspondingly processed and executed, so that the cooperative operation of the intelligent household equipment is promoted. The collaboration and sharing mechanism enables the intelligent home equipment to better adapt to the requirements of users, so that the flexibility, the intelligence and the automation level of the intelligent home system are improved, and better intelligent home experience is brought to the users. In addition, by using the intelligent detection technology to carry out self-adaptive detection processing on the cooperative operation result of the intelligent household equipment, potential faults or performance problems can be found in time. And the collaborative operation detection result of the intelligent household equipment is adjusted and optimized by using an optimized scheduling algorithm, so that the collaborative operation performance and efficiency of the intelligent household equipment are further improved. The stability, reliability and safety of the intelligent home system can be effectively improved through the implementation of self-adaptive detection and optimal scheduling, so that the cooperative operation of the intelligent home equipment is ensured to meet the expected target. And finally, monitoring the collaborative operation optimization result of the intelligent household equipment by introducing a feedback device, and obtaining timely feedback information about the collaborative operation of the intelligent household equipment. Based on the cooperative operation feedback information, a corresponding cooperative operation adjustment scheme is formulated, and learning and updating are carried out on the cooperative operation adjustment scheme so as to realize a more accurate cooperative operation scheduling strategy. The feedback monitoring and learning updating mechanism is beneficial to optimizing the cooperative operation effect of the intelligent home equipment, and improving the adaptability and response capability of the intelligent home system so as to realize continuous optimization and progress of the cooperative operation of the intelligent home equipment, thereby improving the overall performance and user experience of the intelligent home system.
Preferably, step S1 comprises the steps of:
step S11: performing mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment;
according to the embodiment of the invention, the unique identifiable mark is designed for each intelligent household device in the intelligent household system, and can be a two-dimensional code, an RFID tag, an NFC tag and the like, the mark on the intelligent household device is identified by using a mark identification technology, and the intelligent household device is associated with a corresponding mark identification result, so that the marked intelligent household device is finally obtained.
Step S12: carrying out communication link connection processing on the marked intelligent home equipment by utilizing a wireless communication technology to obtain an intelligent home equipment network;
according to the embodiment of the invention, the wireless communication technology is used for carrying out communication link connection processing on the sign intelligent home equipment, and a proper communication mode and parameters are configured for the wireless communication protocol supported by each sign intelligent home equipment, so that reliable communication between each sign intelligent home equipment and an intelligent home system is ensured, and finally, the intelligent home equipment network is obtained.
Step S13: acquiring and processing data of the intelligent home equipment network through a sensor to obtain comprehensive data of the intelligent home equipment network;
According to the embodiment of the invention, the sensor is used for collecting and processing the data of the intelligent household equipment network, the data related to the intelligent household equipment network, such as temperature, humidity, running state conditions and the like, are collected, and the collected data are arranged and combined, so that the comprehensive data of the intelligent household equipment network is finally obtained.
Step S14: and performing environment data screening processing on the intelligent home equipment network comprehensive data by utilizing a data screening technology to obtain the intelligent home equipment environment data.
According to the embodiment of the invention, the acquired intelligent home equipment network comprehensive data is subjected to environmental data screening processing by using a data screening technology combined with methods such as threshold judgment, filtering and the like, so that effective data related to the running environment condition of the intelligent home equipment is extracted, and finally the intelligent home equipment environmental data is obtained.
According to the invention, the intelligent household equipment in the intelligent household system is subjected to mark processing by adopting a specific mark, a two-dimensional code or other identifiable marks by using a mark recognition technology, so that the intelligent household equipment is accurately positioned and extracted, the unique mark and the accuracy of the intelligent household equipment can be ensured in the mark processing process, and the effective identity confirmation of the intelligent household equipment is provided for the subsequent steps, so that the individual control, monitoring and management of the intelligent household equipment are realized. And carrying out communication link connection processing on the marked intelligent household equipment by using a wireless communication technology so as to establish an intelligent household equipment network. Through the communication link connection, the intelligent home equipment can perform efficient data transmission, command control and information exchange, so that an intelligent home equipment network which is connected and cooperated with each other is formed. The network architecture can promote interoperability and integration among intelligent home devices, and provides a reliable and rapid communication foundation for intelligent home control and application. And then, the sensor is used for carrying out data acquisition processing on the intelligent household equipment network so as to acquire comprehensive intelligent household equipment network data, and information about indoor environment states, energy consumption conditions, equipment use conditions and the like can be accurately obtained through acquisition, processing and integration of the data, so that a reliable and accurate data basis is provided for detection, analysis and control of the intelligent household system. And finally, processing the network comprehensive data of the intelligent household equipment by using an advanced data screening technology to extract the environment-related information, thereby obtaining the environment data of the intelligent household equipment. The data screening technology can adopt various algorithms and strategies, such as threshold setting, filter design and the like, to analyze and filter the comprehensive data of the intelligent household equipment network so as to remove repeated, abnormal or irrelevant data, thereby extracting effective data related to environmental conditions. Through the screening processing of the environmental data, the intelligent home system can acquire accurate and reliable environmental information, so that the automatic control, intelligent decision making and optimization performance of the intelligent home system are promoted, and a basic data source can be provided for the subsequent collaborative operation processing.
Preferably, step S2 comprises the steps of:
step S21: performing data preprocessing on the environmental data of the intelligent household equipment to obtain the data to be reduced in the environment of the intelligent household equipment;
step S22: carrying out noise reduction processing on the data to be noise reduced of the environment of the intelligent household equipment by using an environment intelligent noise reduction algorithm to obtain the noise reduction data of the environment of the intelligent household equipment;
step S23: transmitting the environmental noise reduction data of the intelligent household equipment to a central controller of the intelligent household system by utilizing a wireless transmission technology;
step S24: the intelligent household equipment environment noise reduction data are subjected to environment regulation and control analysis processing by utilizing an intelligent analysis algorithm through a central controller, so that intelligent household equipment regulation and control information is obtained;
the functional formula of the intelligent analysis algorithm is as follows:
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in the method, in the process of the invention,regulating and controlling information for intelligent household equipment>For the start time of the environmental regulatory analysis, +.>For the end time of the environmental regulatory analysis, +.>Analysis of time variable for environmental regulation,/->For intelligent household equipment environment state error function, +.>Error change rate adjusting coefficient for intelligent household equipment environment state error function, < ->Error integral term adjusting coefficient for intelligent household equipment environment state error function, < - >Error acceleration adjustment coefficient for intelligent household equipment environment state error function>The correction value of the regulation information of the intelligent household equipment is obtained.
As an embodiment of the present invention, referring to fig. 2, a detailed step flow chart of step S2 in fig. 1 is shown, in which step S2 includes the following steps:
step S21: performing data preprocessing on the environmental data of the intelligent household equipment to obtain the data to be reduced in the environment of the intelligent household equipment;
according to the embodiment of the invention, the data to be noise reduced of the environment of the intelligent household equipment is finally obtained by preprocessing the environment data of the intelligent household equipment such as missing value filling, repeated data removal, abnormal data, invalid data, normalization and standardization.
Step S22: carrying out noise reduction processing on the data to be noise reduced of the environment of the intelligent household equipment by using an environment intelligent noise reduction algorithm to obtain the noise reduction data of the environment of the intelligent household equipment;
according to the embodiment of the invention, a proper environment intelligent noise reduction algorithm is constructed by combining a noise Gaussian distribution mean value, a noise Gaussian distribution variance, a noise distribution function, a weight control parameter, a weight function of a noise time domain integral term, an attenuation rate parameter, a spatial domain noise smoothing function and related parameters, and the constructed environment intelligent noise reduction algorithm is utilized to carry out integral smoothing noise reduction processing on noise of the data to be reduced in the environment of the intelligent household equipment so as to eliminate the influence of the noise source in the data to be reduced in the environment of the intelligent household equipment, and finally the environment noise reduction data of the intelligent household equipment is obtained.
Step S23: transmitting the environmental noise reduction data of the intelligent household equipment to a central controller of the intelligent household system by utilizing a wireless transmission technology;
according to the embodiment of the invention, the noise reduction data of the environment of the intelligent household equipment after noise reduction processing is transmitted to the central controller of the intelligent household system by using wireless transmission technologies such as Wi-Fi, bluetooth and the like, and the central controller is a core component of the intelligent household system and is responsible for receiving and processing the noise reduction data of the environment from each intelligent household equipment.
Step S24: the intelligent household equipment environment noise reduction data are subjected to environment regulation and control analysis processing by utilizing an intelligent analysis algorithm through a central controller, so that intelligent household equipment regulation and control information is obtained;
according to the embodiment of the invention, a proper intelligent analysis algorithm is constructed by combining the starting time and the ending time of the environment regulation analysis, the environmental state error function of the intelligent household equipment, the error change rate adjustment coefficient, the error integral item adjustment coefficient, the error acceleration adjustment coefficient and related parameters, the central controller is used for carrying out environment regulation analysis processing on the environmental noise reduction data of the intelligent household equipment by using the constructed intelligent analysis algorithm, and the environment regulation analysis processing is used for analyzing the regulation information such as the working state and the resource allocation of the intelligent household equipment, so that the intelligent household equipment regulation information is finally obtained.
The functional formula of the intelligent analysis algorithm is as follows:
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in the method, in the process of the invention,regulating and controlling information for intelligent household equipment>For the start time of the environmental regulatory analysis, +.>End of analysis for environmental regulationsTime (F)>Analysis of time variable for environmental regulation,/->For intelligent household equipment environment state error function, +.>Error change rate adjusting coefficient for intelligent household equipment environment state error function, < ->Error integral term adjusting coefficient for intelligent household equipment environment state error function, < ->Error acceleration adjustment coefficient for intelligent household equipment environment state error function>The correction value of the regulation information of the intelligent household equipment is obtained.
The intelligent analysis algorithm is used for carrying out environment regulation and control analysis processing on the environment noise reduction data of the intelligent household equipment, and can stabilize the regulation and control process of the intelligent household system by comprehensively considering the error magnitude, the change rate, the integral effect and the acceleration effect of the environment state error function of the intelligent household equipment so as to reduce fluctuation and oscillation, thereby providing reasonable intelligent household equipment regulation and control information. Through analysis and comprehensive processing of the environment state error function of the intelligent household equipment, more accurate regulation and control information can be provided, so that the intelligent household system can regulate the environment more accurately. The algorithm function formula fully considers the intelligent household equipment regulation and control information Initiation time of environmental Conditioning analysis->End time of environmental Conditioning analysis +.>Environmental control analysis time variable->Intelligent household equipment environment state error function>Error change rate adjustment coefficient of intelligent household equipment environment state error function>Error integral term adjustment coefficient of intelligent household equipment environment state error function>Error acceleration adjustment coefficient of intelligent household equipment environment state error function>Correction value of intelligent household equipment regulation information +.>According to intelligent household equipment regulation and control information +.>The interrelationship between the above parameters constitutes a functional relationship +.>The algorithm function formula can realize the environmental regulation analysis processing of the environmental noise reduction data of the intelligent household equipment, and meanwhile, the correction value of the regulation information of the intelligent household equipment is +.>The introduction of the intelligent analysis algorithm can be adjusted according to actual conditions, so that the accuracy and the applicability of the intelligent analysis algorithm are improved.
According to the invention, the data preprocessing is carried out on the environment data of the intelligent household equipment, and the methods such as data cleaning, data smoothing and missing value filling processing are used, so that the quality and accuracy of the data can be effectively improved, and a more reliable data base is provided for the subsequent noise reduction processing process. The noise reduction processing is carried out on the noise reduction data to be reduced of the environment of the intelligent household equipment obtained after the processing by using a proper environment intelligent noise reduction algorithm, and the noise and interference data existing in the noise reduction data to be reduced of the environment of the intelligent household equipment are effectively removed or weakened, so that the extraction of real and accurate environment information data is facilitated, and the environment sensing and control performance of the intelligent household system is improved. Then, through using wireless transmission technology to the intelligent house equipment environment noise reduction data transmission to intelligent house system's central controller after the noise reduction processing, can acquire and manage the environmental data of each intelligent house equipment in real time through central controller, can provide convenience for follow-up intelligent analysis and regulation and control. And finally, performing environment regulation and control analysis processing on the intelligent household equipment environment noise reduction data by utilizing an intelligent analysis algorithm through a central controller, and analyzing and processing the noise reduction data of the intelligent household equipment environment after noise reduction by utilizing a specially designed intelligent analysis algorithm so as to obtain regulation and control information of the intelligent household equipment. The intelligent analysis algorithm comprehensively considers factors such as the change rate, integral term, acceleration and the like of the environmental state error, and combines the integral and differential calculation of an error function to obtain the intelligent household equipment regulation and control information. Therefore, the intelligent home system can automatically implement corresponding intelligent home equipment regulation and control measures according to the analysis result, so that important support is provided for intelligent environment control of the intelligent home system.
Preferably, step S22 comprises the steps of:
step S221: performing noise value calculation on the data to be noise reduced in the environment of the intelligent household equipment by using an environment intelligent noise reduction algorithm to obtain an environment data noise value;
the functional formula of the environment intelligent noise reduction algorithm is as follows:
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in the method, in the process of the invention,for ambient data noise value,/->Data to be reduced for intelligent household equipment environment, < +.>Noise Gaussian distribution mean value of data to be reduced for intelligent household equipment environment, < >>Noise gaussian distribution variance of data to be noise reduced for intelligent household equipment environment, < >>Noise distribution function of data to be noise reduced for intelligent household equipment environment>Weight control parameter for noise time domain integral term, < ->Integration time interval for noise time domain integration term, +.>Weight function for noise time domain integral term, +.>Time-varying component being a noise time-domain integral term, < ->Attenuation rate parameter which is noise time domain integral term, < ->Is a spatial domain noise smoothing function, < >>Correction values for the noise values of the environmental data;
step S222: judging an environmental data noise value according to a preset environmental data noise threshold, and removing the data to be reduced in the environment of the intelligent household equipment corresponding to the environmental data noise value when the environmental data noise value is greater than or equal to the preset environmental data noise threshold to obtain the environmental noise reduction data of the intelligent household equipment;
Step S223: and judging the environmental data noise value according to a preset environmental data noise threshold, and directly defining the data to be noise-reduced of the environment of the intelligent household equipment corresponding to the environmental data noise value as the environmental noise-reduction data of the intelligent household equipment when the environmental data noise value is smaller than the preset environmental data noise threshold.
As an embodiment of the present invention, referring to fig. 3, a detailed step flow chart of step S22 in fig. 2 is shown, in which step S22 includes the following steps:
step S221: performing noise value calculation on the data to be noise reduced in the environment of the intelligent household equipment by using an environment intelligent noise reduction algorithm to obtain an environment data noise value;
according to the embodiment of the invention, a proper environment intelligent noise reduction algorithm is constructed by combining a noise Gaussian distribution mean value, a noise Gaussian distribution variance, a noise distribution function, a weight control parameter, a weight function of a noise time domain integral term, an attenuation rate parameter, a space domain noise smoothing function and related parameters to calculate the noise value of the data to be noise reduced in the environment of the intelligent household equipment, the constructed environment intelligent noise reduction algorithm is used for carrying out integral smoothing noise reduction on the noise of the data to be noise reduced in the environment of the intelligent household equipment, and the noise reduction processing process is regulated and optimized through a correction value to eliminate the influence of a noise source in the data to be noise reduced in the environment of the intelligent household equipment, so that the noise value of the environment data is finally obtained.
The functional formula of the environment intelligent noise reduction algorithm is as follows:
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in the method, in the process of the invention,for ambient data noise value,/->Data to be reduced for intelligent household equipment environment, < +.>Noise Gaussian distribution mean value of data to be reduced for intelligent household equipment environment, < >>Noise gaussian distribution variance of data to be noise reduced for intelligent household equipment environment, < >>Noise distribution function of data to be noise reduced for intelligent household equipment environment>Weight control parameter for noise time domain integral term, < ->Integration time interval for noise time domain integration term, +.>Weight function for noise time domain integral term, +.>Time-varying component being a noise time-domain integral term, < ->Attenuation rate parameter which is noise time domain integral term, < ->Is a spatial domain noise smoothing function, < >>Correction values for the noise values of the environmental data;
according to the method, a function formula of an environment intelligent noise reduction algorithm is constructed and used for calculating the noise value of the data to be noise reduced of the environment of the intelligent household equipment, noise reduction processing is needed to be carried out on the data to be noise reduced of the environment of the intelligent household equipment so as to obtain cleaner and accurate data to be noise reduced of the environment of the intelligent household equipment, noise and interference data in the data to be noise reduced of the environment of the intelligent household equipment can be effectively removed through the environment intelligent noise reduction algorithm, and therefore accuracy and reliability of the data to be noise reduced of the environment of the intelligent household equipment are improved. The algorithm function formula fully considers the noise value of the environmental data Data to be reduced in environment of intelligent household equipment>Noise Gaussian distribution mean value of data to be noise reduced in intelligent household equipment environment>Noise Gaussian distribution variance of data to be noise reduced in intelligent household equipment environment>Noise distribution function of data to be reduced in smart home equipment environment>Weight control parameter of noise time domain integral term +.>Integration time interval of noise time domain integration term +.>Weight function of noise time domain integral termTime-varying component of noise time-domain integral term +.>Attenuation rate parameter of noise time domain integral term +.>Spatial domain noise smoothing function->Correction value of noise value of environmental data +.>The method comprises the following steps of (1) waiting for noise reduction data through smart home equipment environment>Noise Gaussian distribution mean value of data to be noise reduced in intelligent household equipment environment>Noise Gaussian distribution variance of data to be noise reduced in intelligent household equipment environment>Noise distribution function of data to be reduced in smart home device environment>Constitutes a noise Gaussian distribution function relationship +.>Data to be noise reduced are also subjected to environment of intelligent household equipment>Weight control parameter of noise time domain integral term +.>Integration time interval of noise time domain integration term +.>Weight function of noise time-domain integral term +. >Time-varying component of noise time-domain integral term +.>Attenuation rate parameter of noise time domain integral term +.>Spatial domain noise smoothing function>Constitutes a noise time domain integral term function>Noise value according to environmental data->The interrelationship between the above parameters constitutes a functional relationship +.>The algorithm function formula can realize the calculation of the noise value of the data to be reduced in the environment of the intelligent household equipment, and meanwhile, the noise value of the environment data is corrected by +.>The introduction of the noise reduction algorithm can be adjusted according to actual conditions, so that the accuracy and the applicability of the intelligent noise reduction algorithm are improved.
Step S222: judging an environmental data noise value according to a preset environmental data noise threshold, and removing the data to be reduced in the environment of the intelligent household equipment corresponding to the environmental data noise value when the environmental data noise value is greater than or equal to the preset environmental data noise threshold to obtain the environmental noise reduction data of the intelligent household equipment;
according to the embodiment of the invention, whether the calculated environmental data noise value exceeds the preset environmental data noise threshold value is judged according to the preset environmental data noise threshold value, when the environmental data noise value is larger than or equal to the preset environmental data noise threshold value, the interference influence of a noise source in the environmental data to be noise reduced of the intelligent household equipment corresponding to the environmental data noise value is larger, the environmental data to be noise reduced of the intelligent household equipment corresponding to the environmental data noise value is eliminated, and finally the environmental noise reduction data of the intelligent household equipment is obtained.
Step S223: and judging the environmental data noise value according to a preset environmental data noise threshold, and directly defining the data to be noise-reduced of the environment of the intelligent household equipment corresponding to the environmental data noise value as the environmental noise-reduction data of the intelligent household equipment when the environmental data noise value is smaller than the preset environmental data noise threshold.
According to the embodiment of the invention, whether the calculated environmental data noise value exceeds the preset environmental data noise threshold value is judged according to the preset environmental data noise threshold value, when the environmental data noise value is smaller than the preset environmental data noise threshold value, the interference influence of a noise source in the environmental data to be noise reduced of the intelligent household equipment corresponding to the environmental data noise value is smaller, and the environmental data to be noise reduced of the intelligent household equipment corresponding to the environmental data noise value is directly defined as the environmental noise reduction data of the intelligent household equipment.
According to the method, the noise value calculation is carried out on the preprocessed intelligent household equipment environment data to be noise-reduced by using the proper environment intelligent noise reduction algorithm, and as noise interference or abnormal noise sources and other conditions possibly exist in the intelligent household equipment environment data to be noise-reduced, the accuracy and the reliability of the follow-up collaborative operation processing process are adversely affected, an appropriate environment intelligent noise reduction algorithm is required to be set for carrying out noise reduction processing on the intelligent household equipment environment data to be noise-reduced, the environment intelligent noise reduction algorithm can identify and measure noise and interference data existing in the intelligent household equipment environment data to be noise-reduced, and noise signals are removed from the source, so that the accuracy and the reliability of the intelligent household equipment environment data to be noise-reduced are improved. According to the environment intelligent noise reduction algorithm, noise of data to be reduced in an environment of intelligent household equipment is integrated, smoothed and noise reduced through combining a noise Gaussian distribution mean value, a noise Gaussian distribution variance, a noise distribution function, a weight control parameter, a weight function of a noise time domain integral term, an attenuation rate parameter, a spatial domain noise smoothing function and related parameters, and a noise reduction processing process is adjusted and optimized through a correction value, so that the optimal noise reduction effect and a calculation result are obtained, and the noise value of the environment data is calculated accurately. Then, according to specific data noise reduction processing requirements and quality standards, the calculated environmental data noise value is judged by setting a proper environmental data noise threshold value, which intelligent household equipment environments need to be subjected to noise reduction data removal is judged, which intelligent household equipment environments need to be subjected to noise reduction data can be reserved, the intelligent household equipment environments with larger environmental data noise values can be effectively removed, the influence of the intelligent household equipment environments with larger environmental data noise values on the whole data by the intelligent household equipment environments to be subjected to noise reduction data is avoided, the quality of the intelligent household equipment environments to be subjected to noise reduction data is further improved, unnecessary interference and error are reduced, and therefore the accuracy and reliability of the intelligent household equipment environments to be subjected to noise reduction data are guaranteed. Finally, the calculated environmental data noise value is judged by using the set environmental data noise threshold value, the environmental data to be noise-reduced data of the intelligent household equipment with smaller environmental data noise value is defined as the environmental noise-reduced data of the intelligent household equipment, the more accurate and reliable environmental data to be noise-reduced data of the intelligent household equipment can be obtained, the data are less interfered by noise, a more stable data base can be provided for the subsequent collaborative operation processing process, and therefore the availability and the effectiveness of the environmental noise-reduced data of the intelligent household equipment are improved.
Preferably, step S3 comprises the steps of:
step S31: carrying out cooperative sharing processing on the intelligent home equipment regulation and control information by utilizing a cooperative interactive communication program to obtain intelligent home equipment cooperative sharing information;
according to the embodiment of the invention, the cooperative interaction control program, the network communication control program and the cooperative sharing control program are used for carrying out cooperative sharing processing on the intelligent household equipment regulation and control information, so that cooperative communication and shared regulation and control information among intelligent household equipment are realized, and finally the intelligent household equipment cooperative sharing information is obtained.
Step S32: performing cooperative response processing on the intelligent home equipment cooperative sharing information by utilizing a cooperative operation technology to obtain a cooperative response decision of the intelligent home equipment;
according to the embodiment of the invention, collaborative response processing is carried out on the intelligent household equipment collaborative sharing information by using a collaborative operation technology consisting of a collaborative algorithm, a data mining technology and the like, computational capacity and resources among the intelligent household equipment are subjected to collaborative utilization analysis processing, and a collaborative response strategy and a decision rule are formulated according to an analysis result, wherein the collaborative response decision comprises response measures such as equipment state adjustment, energy scheduling, task allocation and the like, so that collaborative response among the intelligent household equipment is realized, and finally, the intelligent household equipment collaborative response decision is obtained.
Step S33: and carrying out equipment collaborative operation processing on the intelligent home equipment collaborative response decision through a collaborative operation control program to obtain an intelligent home equipment collaborative operation result.
According to the embodiment of the invention, the cooperative operation control program consisting of the equipment scheduling control program, the task allocation control program and the priority control program is used for carrying out equipment cooperative operation processing on the cooperative response decision of the intelligent household equipment, and is responsible for executing the cooperative response decision and carrying out the equipment cooperative operation processing, and according to the cooperative response decision, the operation of each intelligent household equipment is cooperatively scheduled and controlled, and real-time resource allocation and task scheduling are carried out, so that the cooperative operation result of the intelligent household equipment is finally obtained.
According to the intelligent household device control information sharing method and system, the intelligent household devices are subjected to cooperative sharing processing by using the cooperative interactive communication program, so that information sharing and information transmission among the intelligent household devices can be realized, the overall perception and understanding capability of the intelligent household system can be improved, the control information of other intelligent household devices can be known, and therefore a global visual field and comprehensive cognition are formed. Through cooperative sharing processing, intelligent home devices can mutually communicate and share regulation and control information, so that more efficient device cooperative operation is realized. And the intelligent home devices can know the cooperative state and the demand of each other, so that more intelligent and personalized service is provided for users. In addition, the control information of each intelligent household device can be integrated and analyzed through cooperative sharing processing, so that more comprehensive problems and demand states are obtained, and therefore more accurate control decision is realized, response speed and quality of the intelligent household devices are improved, and intelligent service with higher level is provided. The cooperative sharing processing process can be correspondingly adjusted according to different regulation and control states and requirements, so that the flexibility and adaptability of the intelligent home system are realized. The intelligent home system can carry out self-adaptive adjustment according to dynamic factors such as a behavior mode, environmental change and the like of a user, and intelligent experience which is more in line with the expectations of the user is provided. And then, carrying out cooperative response processing on the cooperative sharing information of the intelligent household devices by using a cooperative operation technology, wherein the cooperative operation technology can cooperatively utilize the computing capacity and resources among the intelligent household devices, so that the sharing and parallel processing of cooperative tasks are realized. By reasonably distributing tasks and resources, the response speed and the processing efficiency of the intelligent home system can be improved. The intelligent algorithms and decision models of the intelligent household devices can be cooperatively operated, so that higher-level decision capability is obtained, the intelligent household devices can be mutually cooperated, the complex problem is jointly solved, and a more accurate and reliable decision result is provided. Through the application of the cooperative operation technology, the intelligent home system can realize the detection and the treatment of faults and abnormal conditions of the intelligent home equipment. When a certain intelligent household device fails or is abnormal, other intelligent household devices can be correspondingly compensated or replaced through cooperative operation, so that the normal operation and the reliability of the intelligent household system are ensured. And finally, performing device collaborative operation processing on the collaborative response decisions of the intelligent home devices by using a collaborative operation control program, wherein the collaborative operation control program can perform collaborative scheduling and control on the operation of each intelligent home device according to the collaborative response decisions. Through real-time resource allocation and task scheduling, the utilization rate of the intelligent household equipment and the overall efficiency of the intelligent household system can be improved to the greatest extent. Moreover, the intelligent home equipment can be promoted to better cooperate through the equipment cooperation operation processing, so that more efficient task completion is realized. The intelligent home devices can cooperate with each other to jointly complete complex tasks so as to provide higher-level intelligent services. Meanwhile, interoperability among intelligent home devices is improved, and information exchange and sharing can be more conveniently carried out. Through the processing of equipment collaborative operation, intelligent home system can provide more intelligent and convenient service to satisfy user's individualized demand, make the user enjoy more comfortable, safe, efficient intelligent house experience, thereby promote quality of life and happiness.
Preferably, step S31 comprises the steps of:
step S311: carrying out cooperative sharing processing on the intelligent home equipment regulation information by utilizing a cooperative interactive communication program, wherein the cooperative interactive communication program comprises a cooperative interactive control program, a network communication control program and a cooperative sharing control program;
according to the embodiment of the invention, the cooperative interaction control program is used for carrying out cooperative sharing processing on the intelligent household equipment regulation and control information, wherein the cooperative interaction control program is used for managing the interaction process between the intelligent household equipment, so that the intelligent household equipment can exchange and share the regulation and control information with each other. The network communication control program is responsible for managing network communication between the intelligent home devices, ensuring that the intelligent home devices can be connected with each other and providing a reliable communication channel. The cooperative sharing control program is used for cooperatively sharing and processing the regulation and control information among the intelligent home devices, and is responsible for collecting the regulation and control information from different intelligent home devices and processing the information to realize cooperative sharing information.
Step S312: performing interaction processing on the intelligent household equipment regulation and control information by utilizing a cooperative interaction control program to obtain intelligent household equipment regulation and control interaction information;
According to the embodiment of the invention, the intelligent household equipment regulation and control information is interactively processed by writing the cooperative interaction control program, and communication and data transmission among the intelligent household equipment are coordinated, so that the intelligent household equipment can exchange and share the regulation and control information, and finally the intelligent household equipment regulation and control interaction information is obtained.
Step S313: performing device communication processing on the intelligent home device regulation interaction information by utilizing a network communication control program to obtain intelligent home device regulation communication information;
according to the embodiment of the invention, the intelligent household equipment regulation and control interaction information is subjected to equipment communication processing by writing the network communication control program, the transmission mode and the network protocol of the intelligent household equipment regulation and control interaction information are determined, the network connection and the communication mechanism between the intelligent household equipment are realized, normal communication between different intelligent household equipment is ensured, and finally the intelligent household equipment regulation and control communication information is obtained.
Step S314: and carrying out cooperative sharing processing on the intelligent home equipment regulation communication information by utilizing the cooperative sharing control program to obtain the intelligent home equipment cooperative sharing information.
According to the embodiment of the invention, collaborative sharing control programs are written to perform collaborative sharing processing on the intelligent household equipment regulation and control communication information, the sharing mode and rule of the intelligent household equipment regulation and control communication information are determined, and the intelligent household equipment regulation and control communication information is collected, integrated and processed to obtain collaborative sharing information, and finally the intelligent household equipment collaborative sharing information is obtained.
According to the intelligent household equipment control information sharing method and system, the intelligent household equipment control information is subjected to cooperative sharing processing by using the cooperative interaction communication program consisting of the cooperative interaction control program, the network communication control program and the cooperative sharing control program, wherein the cooperative interaction control program enables intelligent household equipment to exchange and share the control information mutually in a cooperative interaction mode, and the cooperative interaction control program can coordinate communication and data transmission among the intelligent household equipment so as to ensure that the intelligent household equipment can understand and work cooperatively with each other. Through collaborative interaction processing, the intelligent home devices can know the running states and the adjustment demands of each other, so that information communication and collaborative actions are promoted. Through the interactive processing of the intelligent household equipment regulation and control information, the intelligent household equipment can fuse and integrate the respective regulation and control information, so that each intelligent household equipment can acquire more comprehensive and accurate environment cognition, a more valuable information basis is provided for subsequent cooperative sharing and response decision, and the accuracy and efficiency of cooperative actions are further enhanced. The network communication control program is responsible for managing and controlling network communication among the intelligent home devices, can provide a reliable communication channel, ensures that the intelligent home device regulation and control interaction information can be accurately and safely transmitted to the target intelligent home devices, and can quickly and real-timely exchange the intelligent home device regulation and control interaction information among the intelligent home devices so as to ensure that the intelligent home device regulation and control interaction information can be transmitted among the intelligent home devices in a reliable and efficient mode, thereby meeting the requirements of real-time performance and reliability. The network communication control program can also optimize the communication process so as to improve the communication speed and efficiency between intelligent home devices, reduce delay and data loss, ensure that the regulation and control interaction information can be transferred to the target intelligent home devices as soon as possible, and enable cooperative sharing and response to be carried out in real time. The cooperative sharing control program is responsible for carrying out cooperative sharing processing on the regulating communication information of the intelligent home equipment, and can extract and integrate the communication information transmitted between different intelligent home equipment to generate comprehensive cooperative sharing information. The intelligent home equipment can share information of other equipment through cooperative sharing processing, so that the perception capability and comprehensive cognition level of the whole intelligent home system are improved. The collaborative sharing control program can perform global optimization, so that the intelligent home equipment can obtain more comprehensive and accurate environmental cognitive information, and thus the intelligent home equipment can share the regulation and control information of other equipment, thereby forming a more accurate and comprehensive intelligent home system view angle, and providing more optimized basic guarantee for subsequent collaborative operation response and decision.
Preferably, step S33 includes the steps of:
step S331: performing device collaborative operation processing on the intelligent home device collaborative response decision through a collaborative operation control program, wherein the collaborative operation control program comprises a device scheduling control program, a task allocation control program and a priority control program;
according to the embodiment of the invention, the cooperative operation control program consisting of the equipment scheduling control program, the task allocation control program and the priority control program is used for carrying out the equipment cooperative operation processing on the intelligent household equipment cooperative response decision, wherein the equipment scheduling control program is responsible for carrying out the equipment unified scheduling processing on the intelligent household equipment cooperative response decision, and the task scheduling of the intelligent household equipment is determined according to a set scheduling algorithm by considering the factors such as the availability and the load balance of the intelligent household equipment. The task allocation control program is used for cooperatively allocating tasks, allocating the tasks to the proper intelligent household equipment according to the processing capacity of the intelligent household equipment, the properties and the requirements of the tasks, and ensuring the reasonable allocation and efficient execution of the tasks. And the priority control program performs priority collaborative operation processing on the task allocation result of the intelligent household equipment according to the importance and urgency of the task so as to ensure that the task with high priority can be processed preferentially.
Step S332: performing device unified scheduling processing on the intelligent home device cooperative response decision by using a device scheduling control program to obtain an intelligent home device cooperative scheduling result;
according to the embodiment of the invention, the device unified scheduling processing is carried out on the intelligent household device cooperative response decision-making by designing the proper device scheduling control program, and the scheduling optimization processing is carried out on the tasks in the intelligent household device cooperative response decision-making by taking the running state, task demand, resource availability and other factors of the intelligent household device into consideration, so that the intelligent household device cooperative scheduling result is finally obtained.
Step S333: performing cooperative task allocation processing on the cooperative scheduling result of the intelligent household equipment by utilizing a task allocation control program to obtain a task allocation result of the intelligent household equipment;
according to the embodiment of the invention, the cooperative task allocation control program is designed to perform cooperative task allocation processing on the cooperative scheduling result of the intelligent household equipment, and the tasks are reasonably allocated to the intelligent household equipment matched with factors such as task types, equipment capacity, task loads and the like according to the cooperative scheduling result of the intelligent household equipment, so that the task allocation result of the intelligent household equipment is finally obtained.
Step S334: and carrying out priority collaborative operation processing on the task allocation result of the intelligent household equipment by utilizing the priority control program to obtain the collaborative operation result of the intelligent household equipment.
According to the embodiment of the invention, the task allocation result of the intelligent household equipment is subjected to priority cooperative operation processing by designing a proper priority control program, the task allocation result of the intelligent household equipment is subjected to priority division and sequencing by considering factors such as the urgency, the importance and the resource requirement of the task, and the task allocation result after division is subjected to priority cooperative operation processing, so that the important task can be timely responded and preferentially processed, and finally the intelligent household equipment cooperative operation result is obtained.
According to the intelligent household equipment collaborative response decision-making method, the collaborative operation control program consisting of the equipment scheduling control program, the task allocation control program and the priority control program is used for carrying out equipment collaborative operation processing on the intelligent household equipment collaborative response decision-making, wherein the equipment scheduling control program carries out equipment unified scheduling processing on the intelligent household equipment collaborative response decision-making through collaborative operation control, and the equipment unified scheduling processing is used for determining appropriate intelligent household equipment to execute corresponding tasks by analyzing factors such as the operation state, the task demand and the resource availability of the intelligent household equipment so as to ensure the collaborative operation efficiency of the intelligent household equipment and the optimization of the whole performance of an intelligent household system, thereby realizing collaborative work among the intelligent household equipment and reasonable utilization of resources. The resource can be cooperatively distributed to the tasks in the cooperative sharing information according to the resource condition of the intelligent household equipment through the unified scheduling processing of the equipment, so that resource conflict and waste can be avoided, and the utilization efficiency of the intelligent household equipment resources is improved to the greatest extent. In addition, the equipment scheduling control program can schedule and optimize tasks in the intelligent home equipment cooperative response decision through an intelligent scheduling algorithm, and the time sequence relationship, the priority and the connectivity among the intelligent home equipment are considered to minimize the task completion time, so that the response speed and the overall efficiency of the intelligent home system are improved. The task allocation control program is responsible for carrying out cooperative task allocation processing on the cooperative scheduling result of the intelligent household equipment, and reasonably allocating the tasks to the intelligent household equipment matched with factors such as task types, equipment capacity, task loads and the like so as to realize the division cooperation and cooperative operation of the tasks. The load balance of tasks can be realized through cooperative task allocation processing, the tasks are reasonably allocated according to the load condition and performance index of the intelligent household equipment, overload and resource waste of the intelligent household equipment are avoided, and therefore the overall stability and reliability of the intelligent household system are improved. And the allocation processing of the tasks can be dynamically adjusted according to the actual cooperative operation condition and task requirements so as to meet the requirements of instantaneity and flexibility. In the cooperative operation, different tasks may have different priorities and emergency degrees, and the priority control program can perform priority cooperative operation processing on the task allocation result of the intelligent household equipment according to the importance and urgency of the tasks, so that the execution sequence and resource allocation of the intelligent household equipment can be reasonably arranged, and the important tasks can be timely responded and preferentially processed, thereby improving the flexibility and efficiency of the intelligent household system. By prioritizing the co-operating processes, the smart home system is enabled to respond faster to the needs of important tasks. The priority control program can ensure that the tasks with high priority are prioritized when the scheduling is executed, so that the waiting time of the tasks is reduced, the response time is shortened, and the instantaneity and the user experience of the intelligent home system are improved.
Preferably, step S4 comprises the steps of:
step S41: performing self-adaptive detection processing on the intelligent home equipment cooperative operation result by using an intelligent detection technology to obtain an intelligent home equipment cooperative operation detection result;
according to the embodiment of the invention, the intelligent detection technology is used for carrying out self-adaptive detection processing on the cooperative operation result of the intelligent household equipment by using a specially designed detection model, and the cooperative operation detection result of the intelligent household equipment is finally obtained by detecting the operation condition of the intelligent household equipment in real time, including the cooperative operation among the intelligent household equipment and the possible abnormal condition.
Step S42: performing anomaly detection processing on the detection result of the cooperative operation of the intelligent household equipment to obtain an anomaly result of the cooperative operation of the intelligent household equipment;
according to the embodiment of the invention, the abnormality detection method is used for carrying out abnormality detection processing on the detection result of the cooperative operation of the intelligent household equipment, and the detection method is used for detecting the abnormal condition in the detection result of the cooperative operation of the intelligent household equipment, and finally obtaining the abnormal result of the cooperative operation of the intelligent household equipment.
Step S43: the optimization scheduling algorithm is utilized to adjust and optimize abnormal operation results of the intelligent household equipment to obtain intelligent household equipment collaborative operation optimization results;
According to the embodiment of the invention, a proper optimization scheduling algorithm is constructed by combining the weight coefficient, the time response weight parameter, the intelligent household equipment energy consumption function, the collaborative abnormal cost weight parameter and the related parameters, and the abnormal condition data set of the collaborative operation abnormal result of the intelligent household equipment is adjusted and optimized, so that the collaborative operation optimized result of the intelligent household equipment is finally obtained.
The function formula of the optimized scheduling algorithm is as follows:
；
in the method, in the process of the invention,optimizing results for intelligent home equipment collaborative operation, < >>Abnormal situation data set for intelligent home equipment cooperative operation abnormal result>To harmonize smooth parameters +.>For the number of abnormal situation data in the abnormal situation data set, is->Is +.>Abnormal situation data->Is->Weight coefficient of data of abnormal situation, +.>For the time response weight parameter, +.>For adjusting the starting point in time of the optimization process, < >>To adjust the end time point of the optimization process, +.>For the number of smart home devices, +.>Is->Weight parameters of individual smart home devices, +.>For the time period parameter, +.>For +.>The (1) th part of the body>The corresponding +. >Abnormal situation data->For intelligent household equipment energy consumption function, +.>For synergistic abnormality cost function ++>For the synergistic unusual cost weight parameter, +.>And correcting values of the optimization result are used for the cooperative operation of the intelligent household equipment.
The method constructs a function formula of an optimal scheduling algorithm, and is used for adjusting and optimizing the abnormal operation result of the intelligent household equipment, the optimal scheduling algorithm can balance the influence of different abnormal conditions according to the abnormal operation condition data of the intelligent household equipment, and finally, the optimal operation result of the intelligent household equipment is obtained by considering factors such as time response, weight of the intelligent household equipment and the like. The optimization scheduling algorithm can also comprehensively consider factors such as energy consumption, cooperative abnormal cost and the like so as to improve the performance and user experience of the intelligent home system, and reduce the abnormal frequency and influence degree, thereby improving the stability and reliability of the intelligent home system. The algorithm function formula fully considers the collaborative operation optimization result of the intelligent home equipmentAbnormal situation data set of abnormal result of cooperative operation of intelligent household equipment +.>Harmonic smoothing parameters->The number of abnormal situation data in the abnormal situation data set +. >Abnormal situation dataset +>Abnormality data->First->Weight coefficient of individual abnormal situation data +.>Time response weight parameter ∈ ->Adjusting the starting time point of the optimization process +.>Adjusting the end time point of the optimization process +.>Number of smart home devices->First->Weight parameter of personal smart home device +.>Time period parameterIn time period->The (1) th part of the body>The corresponding +.>Abnormality data->Intelligent household equipment energy consumption function>Synergistic abnormality cost function->Synergistic abnormality cost weight parameter ++>Correction value of intelligent home equipment cooperative operation optimization result +.>Wherein the weight parameter is +.>Adjusting the starting time point of the optimization process +.>Adjusting the end time point of the optimization process +.>Number of smart home devices->First->Weight parameter of personal smart home device +.>Time period parameter->In the time period +.>The (1) th part of the body>The corresponding +.>Individual abnormal situation dataConstitutes a time response adjustment function relationship +.>According to the intelligent home equipment collaborative operation optimization result +.>The interrelationship between the parameters constitutes a functional relationship:
；
The algorithm function formula can realize the adjustment and optimization processing of the abnormal result of the cooperative operation of the intelligent household equipment, and simultaneously, the correction value of the optimized result of the cooperative operation of the intelligent household equipment is usedThe introduction of the optimization scheduling algorithm can be adjusted according to actual conditions, so that the accuracy and the stability of the optimization scheduling algorithm are improved.
According to the intelligent household equipment collaborative operation detection method, the intelligent household equipment collaborative operation result is subjected to self-adaptive detection processing by using the intelligent detection technology, so that the operation conditions of the intelligent household equipment, including collaborative operation among the intelligent household equipment and possible abnormal conditions, can be detected in time by the self-adaptive detection processing, the problems in the intelligent household equipment collaborative operation can be found out, potential problems can be found and diagnosed early, and an accurate data basis is provided for the follow-up optimal scheduling processing step. In addition, the intelligent household equipment collaborative operation result is processed through the intelligent detection technology, so that the state and performance index of the intelligent household equipment can be fed back in time. Therefore, users and managers can know the running condition of the intelligent home equipment in real time, master key parameters and make corresponding adjustment and decision, so that the management efficiency of the whole intelligent home system is improved. Then, through carrying out abnormal detection processing to intelligent household equipment collaborative operation testing result, can detect the abnormal condition of intelligent household equipment in collaborative operation, can pinpoint abnormal fault point, get rid of and repair the problem fast, this helps reducing downtime and cost of maintenance of intelligent household equipment to improve user's satisfaction and experience. The performance bottleneck and the low-efficiency operation in the cooperative operation of the intelligent home equipment can be identified through the anomaly detection processing, and a basis is provided for optimizing the scheduling. By analyzing abnormal conditions, the cooperative operation strategy of the intelligent household equipment can be adjusted and optimized, the efficiency and performance of the intelligent household system are improved, and the reasonable utilization of resources and the efficient completion of tasks are realized. Finally, the abnormal result of the cooperative operation of the intelligent household equipment is adjusted and optimized by setting a proper optimized scheduling algorithm, tasks of the intelligent household equipment can be reasonably distributed and scheduled according to the abnormal result and equipment conditions, and the utilization rate and the workload balance of the intelligent household equipment can be improved through optimized resource distribution, so that the energy consumption and the consumption of the intelligent household system are reduced. The intelligent household equipment collaborative operation can be more efficient and orderly through the optimal scheduling algorithm, and the intelligent household equipment collaborative operation can be more coordinated through reasonable adjustment and optimization processing, so that the performance and response speed of the whole intelligent household system are improved, and the user experience is enhanced. By considering abnormal conditions of the intelligent home equipment and performing corresponding adjustment and optimization treatment, the fault tolerance and stability of the intelligent home system can be improved, the influence of the abnormal conditions on the cooperative operation of the intelligent home system is reduced, and the reliability and stability of the intelligent home system are ensured.
Preferably, step S5 comprises the steps of:
step S51: the intelligent home equipment operation feedback information is obtained by introducing a feedback device into the intelligent home system to perform feedback monitoring processing on the intelligent home equipment collaborative operation optimization result;
according to the embodiment of the invention, the feedback device is introduced into the intelligent home system and is used for monitoring the cooperative operation state and performance of the intelligent home equipment, acquiring feedback information of the cooperative operation optimization result of the intelligent home equipment in real time, and finally acquiring the operation feedback information of the intelligent home equipment.
Step S52: a corresponding collaborative operation adjustment scheme is formulated according to the intelligent home equipment operation feedback information;
according to the embodiment of the invention, analysis and evaluation processing are carried out according to the operation feedback information of the intelligent household equipment, the working state and performance problems of the intelligent household equipment are known, and a corresponding collaborative operation adjustment scheme is formulated according to the evaluation result, wherein the collaborative operation adjustment scheme comprises collaborative rescheduling, resource allocation, power consumption optimization or other collaborative operation strategies of the intelligent household equipment.
Step S53: and carrying out learning and updating processing on the collaborative operation adjustment scheme by utilizing an information updating technology so as to execute a corresponding collaborative operation adjustment scheduling strategy.
According to the embodiment of the invention, the established collaborative operation adjustment scheme is learned and updated by using an information updating technology, the collaborative operation adjustment scheme is updated and adjusted by an optimization algorithm or other intelligent technologies based on historical intelligent home equipment operation feedback information and intelligent home equipment performance so as to execute a corresponding collaborative operation adjustment scheduling strategy.
According to the intelligent household system, the feedback device is introduced into the intelligent household system and used for monitoring the cooperative operation condition of the intelligent household equipment in real time and acquiring the cooperative operation feedback information, the feedback device can detect the information such as the working state, the energy consumption level and the performance index of the intelligent household equipment and feed the information back to the intelligent household system, and the actual cooperative operation feedback information of the cooperative operation optimization result of the intelligent household equipment can be obtained through feedback monitoring processing, so that the actual cooperative operation condition of the intelligent household system is known. Then, according to the intelligent home equipment operation feedback information, the cooperative operation condition and performance of the intelligent home equipment are analyzed, possible problems or improvement spaces in the cooperative operation process can be found in time, and corresponding cooperative operation adjustment schemes are formulated according to the problems or improvement spaces, wherein the cooperative operation adjustment schemes can comprise scheduling, resource allocation, cooperative operation mode adjustment and the like among the intelligent home equipment, and aim to optimize the effect of cooperative operation. Finally, the information updating technology is used for learning and updating the collaborative operation adjustment scheme, the collaborative operation adjustment scheme can be dynamically adjusted according to real-time feedback information through the learning and updating technology, and an updated collaborative operation scheduling strategy is executed, so that the intelligent home equipment collaborative operation is realized more efficiently and more reliably, and the actual collaborative operation situation of the intelligent home system is better adapted.
Preferably, the present invention also provides an intelligent home system, including:
the intelligent household equipment processing module is used for identifying and processing the intelligent household equipment in the intelligent household system by using a mark identification technology to obtain mark intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; the intelligent household equipment network is subjected to data acquisition and processing through the sensor, so that environment data of the intelligent household equipment are obtained;
the environment data noise reduction analysis module is used for carrying out noise reduction processing on the environment data of the intelligent household equipment by utilizing an environment intelligent noise reduction algorithm to obtain the environment noise reduction data of the intelligent household equipment; the intelligent analysis algorithm is utilized to carry out environment regulation analysis processing on the intelligent household equipment environment noise reduction data, so that intelligent household equipment regulation information is obtained;
the device cooperative interaction operation module is used for carrying out cooperative sharing processing on the intelligent household device regulation and control information by utilizing a cooperative interaction communication program to obtain intelligent household device cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program, so as to obtain an intelligent home device collaborative operation result;
The intelligent detection optimization processing module is used for carrying out self-adaptive detection processing on the intelligent household equipment cooperative operation result by utilizing an intelligent detection technology to obtain an intelligent household equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
the feedback adjustment learning updating module is used for carrying out feedback monitoring processing on the collaborative operation optimization result of the intelligent home equipment by introducing a feedback device into the intelligent home system to obtain operation feedback information of the intelligent home equipment; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
In summary, the invention provides an intelligent home system, which is composed of an intelligent home device processing module, an environmental data noise reduction analysis module, a device collaborative interaction operation module, an intelligent detection optimization processing module and a feedback adjustment learning updating module, so that the collaborative operation method of any one of the intelligent home systems can be realized, the collaborative operation method of the intelligent home system can be realized by combining the operation among computer programs operated on each module, the internal structures of the systems are mutually cooperated, and the intelligent home system can carry out real-time detection and management collaborative operation on the intelligent home devices by utilizing various algorithms, technologies and control programs, thereby greatly reducing repeated work and labor investment and providing more intelligence. The intelligent home experience is convenient and personalized to improve the overall performance and user satisfaction of the intelligent home system, so that the operation flow of the intelligent home system is simplified.
The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. The cooperative operation method of the intelligent home system is characterized by comprising the following steps of:
step S1: performing mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; acquiring and processing data of an intelligent household equipment network through a sensor to obtain environment data of the intelligent household equipment;
Step S2: performing noise reduction processing on the environmental data of the intelligent household equipment by using an environmental intelligent noise reduction algorithm to obtain the environmental noise reduction data of the intelligent household equipment; performing environment regulation analysis processing on the intelligent household equipment environment noise reduction data by utilizing an intelligent analysis algorithm to obtain intelligent household equipment regulation information;
step S3: carrying out cooperative sharing processing on the intelligent home equipment regulation and control information by utilizing a cooperative interactive communication program to obtain intelligent home equipment cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program to obtain an intelligent home device collaborative operation result;
step S4: performing self-adaptive detection processing on the intelligent home equipment cooperative operation result by using an intelligent detection technology to obtain an intelligent home equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
step S5: the intelligent home equipment operation feedback information is obtained by introducing a feedback device into the intelligent home system to perform feedback monitoring processing on the intelligent home equipment collaborative operation optimization result; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
2. The method of collaborative operation of a smart home system according to claim 1, wherein step S1 comprises the steps of:
step S11: performing mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment;
step S12: carrying out communication link connection processing on the marked intelligent home equipment by utilizing a wireless communication technology to obtain an intelligent home equipment network;
step S13: acquiring and processing data of the intelligent home equipment network through a sensor to obtain comprehensive data of the intelligent home equipment network;
step S14: and performing environment data screening processing on the intelligent home equipment network comprehensive data by utilizing a data screening technology to obtain the intelligent home equipment environment data.
3. The method of collaborative operation of a smart home system according to claim 1, wherein step S2 comprises the steps of:
step S21: performing data preprocessing on the environmental data of the intelligent household equipment to obtain the data to be reduced in the environment of the intelligent household equipment;
step S22: carrying out noise reduction processing on the data to be noise reduced of the environment of the intelligent household equipment by using an environment intelligent noise reduction algorithm to obtain the noise reduction data of the environment of the intelligent household equipment;
Step S23: transmitting the environmental noise reduction data of the intelligent household equipment to a central controller of the intelligent household system by utilizing a wireless transmission technology;
step S24: the intelligent household equipment environment noise reduction data are subjected to environment regulation and control analysis processing by utilizing an intelligent analysis algorithm through a central controller, so that intelligent household equipment regulation and control information is obtained;
the functional formula of the intelligent analysis algorithm is as follows:
；
in the method, in the process of the invention,regulating and controlling information for intelligent household equipment>For the start time of the environmental regulatory analysis, +.>For the end time of the environmental regulatory analysis, +.>Analysis of time variable for environmental regulation,/->For intelligent household equipment environment state error function, +.>Error change rate adjusting coefficient for intelligent household equipment environment state error function, < ->Error integral term adjusting coefficient for intelligent household equipment environment state error function, < ->Error acceleration adjustment coefficient for intelligent household equipment environment state error function>The correction value of the regulation information of the intelligent household equipment is obtained.
4. A method of collaborative operation of a smart home system according to claim 3, wherein step S22 includes the steps of:
step S221: performing noise value calculation on the data to be noise reduced in the environment of the intelligent household equipment by using an environment intelligent noise reduction algorithm to obtain an environment data noise value;
The functional formula of the environment intelligent noise reduction algorithm is as follows:
；
in the method, in the process of the invention,for ambient data noise value,/->Data to be reduced for intelligent household equipment environment, < +.>Noise Gaussian distribution mean value of data to be reduced for intelligent household equipment environment, < >>Noise gaussian distribution variance of data to be noise reduced for intelligent household equipment environment, < >>Noise distribution function of data to be noise reduced for intelligent household equipment environment>Weight control parameter for noise time domain integral term, < ->Integration time interval for noise time domain integration term, +.>Weight function for noise time domain integral term, +.>Time-varying component being a noise time-domain integral term, < ->Attenuation rate parameter which is noise time domain integral term, < ->Is a spatial domain noise smoothing function, < >>Correction values for the noise values of the environmental data;
step S222: judging an environmental data noise value according to a preset environmental data noise threshold, and removing the data to be reduced in the environment of the intelligent household equipment corresponding to the environmental data noise value when the environmental data noise value is greater than or equal to the preset environmental data noise threshold to obtain the environmental noise reduction data of the intelligent household equipment;
step S223: and judging the environmental data noise value according to a preset environmental data noise threshold, and directly defining the data to be noise-reduced of the environment of the intelligent household equipment corresponding to the environmental data noise value as the environmental noise-reduction data of the intelligent household equipment when the environmental data noise value is smaller than the preset environmental data noise threshold.
5. The method of collaborative operation of a smart home system according to claim 1, wherein step S3 comprises the steps of:
step S31: carrying out cooperative sharing processing on the intelligent home equipment regulation and control information by utilizing a cooperative interactive communication program to obtain intelligent home equipment cooperative sharing information;
step S32: performing cooperative response processing on the intelligent home equipment cooperative sharing information by utilizing a cooperative operation technology to obtain a cooperative response decision of the intelligent home equipment;
step S33: and carrying out equipment collaborative operation processing on the intelligent home equipment collaborative response decision through a collaborative operation control program to obtain an intelligent home equipment collaborative operation result.
6. The method of collaborative operation of a smart home system according to claim 5, wherein step S31 includes the steps of:
step S311: carrying out cooperative sharing processing on the intelligent home equipment regulation information by utilizing a cooperative interactive communication program, wherein the cooperative interactive communication program comprises a cooperative interactive control program, a network communication control program and a cooperative sharing control program;
step S312: performing interaction processing on the intelligent household equipment regulation and control information by utilizing a cooperative interaction control program to obtain intelligent household equipment regulation and control interaction information;
Step S313: performing device communication processing on the intelligent home device regulation interaction information by utilizing a network communication control program to obtain intelligent home device regulation communication information;
step S314: and carrying out cooperative sharing processing on the intelligent home equipment regulation communication information by utilizing the cooperative sharing control program to obtain the intelligent home equipment cooperative sharing information.
7. The method of collaborative operation of a smart home system according to claim 5, wherein step S33 includes the steps of:
step S331: performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program, wherein the collaborative operation control program comprises a device scheduling control program, a task allocation control program and a priority control program;
step S332: performing device unified scheduling processing on the intelligent home device cooperative sharing information by using a device scheduling control program to obtain an intelligent home device cooperative scheduling result;
step S333: performing cooperative task allocation processing on the cooperative scheduling result of the intelligent household equipment by utilizing a task allocation control program to obtain a task allocation result of the intelligent household equipment;
step S334: and carrying out priority collaborative operation processing on the task allocation result of the intelligent household equipment by utilizing the priority control program to obtain the collaborative operation result of the intelligent household equipment.
8. The method of collaborative operation of a smart home system according to claim 1, wherein step S4 comprises the steps of:
step S41: performing self-adaptive detection processing on the intelligent home equipment cooperative operation result by using an intelligent detection technology to obtain an intelligent home equipment cooperative operation detection result;
step S42: performing anomaly detection processing on the detection result of the cooperative operation of the intelligent household equipment to obtain an anomaly result of the cooperative operation of the intelligent household equipment;
step S43: the optimization scheduling algorithm is utilized to adjust and optimize abnormal operation results of the intelligent household equipment to obtain intelligent household equipment collaborative operation optimization results;
the function formula of the optimized scheduling algorithm is as follows:
；
in the method, in the process of the invention,optimizing results for intelligent home equipment collaborative operation, < >>Abnormal situation data set for intelligent home equipment cooperative operation abnormal result>To harmonize smooth parameters +.>For the number of abnormal situation data in the abnormal situation data set, is->Is +.>Abnormal situation data->Is->Weight coefficient of data of abnormal situation, +.>For the time response weight parameter, +.>For adjusting the starting point in time of the optimization process, < > >To adjust the end time point of the optimization process, +.>For the number of smart home devices, +.>Is->Weight parameters of individual smart home devices, +.>For the time period parameter, +.>For a period of time ofThe (1) th part of the body>Personal intelligent homeCorresponding->Abnormal situation data->Is an energy consumption function of intelligent household equipment,for synergistic abnormality cost function ++>For the synergistic unusual cost weight parameter, +.>And correcting values of the optimization result are used for the cooperative operation of the intelligent household equipment.
9. The method of collaborative operation of a smart home system according to claim 1, wherein step S5 comprises the steps of:
step S51: the intelligent home equipment operation feedback information is obtained by introducing a feedback device into the intelligent home system to perform feedback monitoring processing on the intelligent home equipment collaborative operation optimization result;
step S52: a corresponding collaborative operation adjustment scheme is formulated according to the intelligent home equipment operation feedback information;
step S53: and carrying out learning and updating processing on the collaborative operation adjustment scheme by utilizing an information updating technology so as to execute a corresponding collaborative operation adjustment scheduling strategy.
10. An intelligent home system, comprising:
the intelligent household equipment processing module is used for carrying out mark processing on intelligent household equipment in the intelligent household system by using a mark recognition technology to obtain marked intelligent household equipment; the wireless communication technology is utilized to carry out communication link connection processing on the marked intelligent home equipment, so as to obtain an intelligent home equipment network; the intelligent household equipment network is subjected to data acquisition and processing through the sensor, so that environment data of the intelligent household equipment are obtained;
The environment data noise reduction analysis module is used for carrying out noise reduction processing on the environment data of the intelligent household equipment by utilizing an environment intelligent noise reduction algorithm to obtain the environment noise reduction data of the intelligent household equipment; the intelligent analysis algorithm is utilized to carry out environment regulation analysis processing on the intelligent household equipment environment noise reduction data, so that intelligent household equipment regulation information is obtained;
the device cooperative interaction operation module is used for carrying out cooperative sharing processing on the intelligent household device regulation and control information by utilizing a cooperative interaction communication program to obtain intelligent household device cooperative sharing information; performing device collaborative operation processing on the intelligent home device collaborative sharing information through a collaborative operation control program, so as to obtain an intelligent home device collaborative operation result;
the intelligent detection optimization processing module is used for carrying out self-adaptive detection processing on the intelligent household equipment cooperative operation result by utilizing an intelligent detection technology to obtain an intelligent household equipment cooperative operation detection result; the intelligent household equipment collaborative operation detection result is adjusted and optimized by utilizing an optimized scheduling algorithm, so that an intelligent household equipment collaborative operation optimization result is obtained;
the feedback adjustment learning updating module is used for carrying out feedback monitoring processing on the collaborative operation optimization result of the intelligent home equipment by introducing a feedback device into the intelligent home system to obtain operation feedback information of the intelligent home equipment; and formulating a corresponding collaborative operation adjustment scheme according to the intelligent home equipment operation feedback information, and learning and updating the collaborative operation adjustment scheme to execute a collaborative operation adjustment scheduling strategy.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116932232A (en) * | 2023-09-18 | 2023-10-24 | 湖南远跃科技发展有限公司 | Data processing method of development platform based on BS architecture |
| CN117171551A (en) * | 2023-11-02 | 2023-12-05 | 山东港口科技集团烟台有限公司 | Large-scale industrial equipment data analysis and intelligent management method |
| CN117201566A (en) * | 2023-11-01 | 2023-12-08 | 无锡迪富智能电子股份有限公司 | Fusion control method for intelligent home interaction |
| CN117579660A (en) * | 2023-11-24 | 2024-02-20 | 江苏启航开创软件有限公司 | Regional Internet information distributed communication method based on home doctors |
| CN117850261A (en) * | 2024-03-04 | 2024-04-09 | 深圳松诺技术有限公司 | Intelligent switch sensor data analysis method and system |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140371931A1 (en) * | 2013-06-16 | 2014-12-18 | Mei-Jech Lin | W5RS: Anlinx & Milinx & Zilinx - the 23Less Green Technology for FSOC of Scalable iPindow of iPhome & Scalable Smart Window of Smart Home with Wire/Wireless/Solar/Battery Communication, Power Supplies & Conversions |
| CN107204904A (en) * | 2016-03-18 | 2017-09-26 | 美的集团股份有限公司 | The control method of smart home, Centralized Controller, intelligent domestic system |
| CN110069018A (en) * | 2019-05-30 | 2019-07-30 | 唐山茁棋科技发展有限公司 | A kind of intelligent home equipment control method based on two dimensional code networking setting |
| WO2019216975A1 (en) * | 2018-05-07 | 2019-11-14 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things |
| US20190349213A1 (en) * | 2018-05-11 | 2019-11-14 | Bubble Electric, Inc. | Systems and Methods for Home Automation Control |
| WO2020087848A1 (en) * | 2018-11-01 | 2020-05-07 | 山东大学 | Real-time behavior identification system based on lora and capsule, and operating method therefor |
| CN111856958A (en) * | 2020-07-27 | 2020-10-30 | 西北大学 | Intelligent household control system, control method, computer equipment and storage medium |
| CN112230555A (en) * | 2020-10-12 | 2021-01-15 | 珠海格力电器股份有限公司 | Intelligent household equipment, control method and device thereof and storage medium |
| CN113759730A (en) * | 2020-06-05 | 2021-12-07 | 深圳绿米联创科技有限公司 | Control method and device of clothes hanger and clothes hanger |
| CN114625014A (en) * | 2020-12-09 | 2022-06-14 | 青岛海尔洗衣机有限公司 | Control method for intelligent household system |
| CN115268293A (en) * | 2022-09-29 | 2022-11-01 | 珠海进田电子科技有限公司 | Touch screen control panel based on whole-house intelligent household appliance control |
-
2023
- 2023-07-31 CN CN202310945857.XA patent/CN116661330B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140371931A1 (en) * | 2013-06-16 | 2014-12-18 | Mei-Jech Lin | W5RS: Anlinx & Milinx & Zilinx - the 23Less Green Technology for FSOC of Scalable iPindow of iPhome & Scalable Smart Window of Smart Home with Wire/Wireless/Solar/Battery Communication, Power Supplies & Conversions |
| CN107204904A (en) * | 2016-03-18 | 2017-09-26 | 美的集团股份有限公司 | The control method of smart home, Centralized Controller, intelligent domestic system |
| WO2019216975A1 (en) * | 2018-05-07 | 2019-11-14 | Strong Force Iot Portfolio 2016, Llc | Methods and systems for data collection, learning, and streaming of machine signals for analytics and maintenance using the industrial internet of things |
| US20190349213A1 (en) * | 2018-05-11 | 2019-11-14 | Bubble Electric, Inc. | Systems and Methods for Home Automation Control |
| WO2020087848A1 (en) * | 2018-11-01 | 2020-05-07 | 山东大学 | Real-time behavior identification system based on lora and capsule, and operating method therefor |
| CN110069018A (en) * | 2019-05-30 | 2019-07-30 | 唐山茁棋科技发展有限公司 | A kind of intelligent home equipment control method based on two dimensional code networking setting |
| CN113759730A (en) * | 2020-06-05 | 2021-12-07 | 深圳绿米联创科技有限公司 | Control method and device of clothes hanger and clothes hanger |
| CN111856958A (en) * | 2020-07-27 | 2020-10-30 | 西北大学 | Intelligent household control system, control method, computer equipment and storage medium |
| CN112230555A (en) * | 2020-10-12 | 2021-01-15 | 珠海格力电器股份有限公司 | Intelligent household equipment, control method and device thereof and storage medium |
| CN114625014A (en) * | 2020-12-09 | 2022-06-14 | 青岛海尔洗衣机有限公司 | Control method for intelligent household system |
| CN115268293A (en) * | 2022-09-29 | 2022-11-01 | 珠海进田电子科技有限公司 | Touch screen control panel based on whole-house intelligent household appliance control |
Non-Patent Citations (4)
| Title |
|---|
| DINGKUN ZHU等: "Cascaded Normal Filtering Neural Network for Geometry-Aware Mesh Denoising of Measurement Surfaces", IEEE, pages 1 - 13 * |
| JING LI等: "Deep Learning Based Image Recognition for 5G Smart IoT Applications", RESEARCH SQUARE, pages 1 - 28 * |
| 叶文政: "基于深度学习的极低信噪比语音增强方法", 中国优秀硕士学位论文全文数据库 信息科技辑, pages 136 - 522 * |
| 杜强: "基于FPGA的智能洗衣机控制器的研究与仿真设计", 中国硕士学位论文全文数据库 工程科技Ⅱ辑, pages 042 - 3415 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116932232A (en) * | 2023-09-18 | 2023-10-24 | 湖南远跃科技发展有限公司 | Data processing method of development platform based on BS architecture |
| CN116932232B (en) * | 2023-09-18 | 2024-01-05 | 湖南远跃科技发展有限公司 | Data processing method of development platform based on BS architecture |
| CN117201566A (en) * | 2023-11-01 | 2023-12-08 | 无锡迪富智能电子股份有限公司 | Fusion control method for intelligent home interaction |
| CN117201566B (en) * | 2023-11-01 | 2024-03-19 | 无锡迪富智能电子股份有限公司 | Fusion control method for intelligent home interaction |
| CN117171551A (en) * | 2023-11-02 | 2023-12-05 | 山东港口科技集团烟台有限公司 | Large-scale industrial equipment data analysis and intelligent management method |
| CN117171551B (en) * | 2023-11-02 | 2024-01-30 | 山东港口科技集团烟台有限公司 | Large-scale industrial equipment data analysis and intelligent management method |
| CN117579660A (en) * | 2023-11-24 | 2024-02-20 | 江苏启航开创软件有限公司 | Regional Internet information distributed communication method based on home doctors |
| CN117579660B (en) * | 2023-11-24 | 2024-05-14 | 江苏启航开创软件有限公司 | Regional Internet information distributed communication method based on home doctors |
| CN117850261A (en) * | 2024-03-04 | 2024-04-09 | 深圳松诺技术有限公司 | Intelligent switch sensor data analysis method and system |
| CN117850261B (en) * | 2024-03-04 | 2024-06-28 | 深圳松诺技术有限公司 | Intelligent switch sensor data analysis method and system |
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