CN107883536B - Parameter adjusting method and device of air conditioning equipment and terminal - Google Patents
Parameter adjusting method and device of air conditioning equipment and terminal Download PDFInfo
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- CN107883536B CN107883536B CN201710932367.0A CN201710932367A CN107883536B CN 107883536 B CN107883536 B CN 107883536B CN 201710932367 A CN201710932367 A CN 201710932367A CN 107883536 B CN107883536 B CN 107883536B
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Abstract
The invention discloses a parameter adjusting method and device of air conditioning equipment and a terminal. Wherein, the method comprises the following steps: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and adjusting the operation parameters of the air conditioning equipment to the target operation parameters. The invention solves the technical problems that the air conditioner parameters set manually in the related technology are not suitable for the current environment, the user is uncomfortable to use the air conditioner, and the user experience is reduced.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to a parameter adjusting method and device of air conditioning equipment and a terminal.
Background
In the related art, when controlling an air conditioner, generally, the temperature and humidity inside and outside a house are adjusted according to setting parameters of a user, and the air conditioner performs corresponding adjustment after the user inputs the parameters by using a remote controller. However, in the above manner of adjusting the temperature, since the user adjusts the temperature according to the temperature sensed by the user and is not suitable for the current suitable adjustment parameter of the house, the temperature of the house adjusted by the air conditioner is often too cold or too hot, which causes discomfort in using the air conditioner by the user and reduces the experience of the user in using the air conditioner.
Aiming at the technical problems that the air conditioner parameters manually set in the related technology are not suitable for the current environment, the user is uncomfortable to use the air conditioner and the user experience is reduced, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a parameter adjusting method, a parameter adjusting device and a parameter adjusting terminal of air conditioning equipment, and aims to at least solve the technical problems that in the related art, manually set air conditioning parameters are not suitable for the current environment, a user is uncomfortable in using an air conditioner, and the user experience is reduced.
According to an aspect of an embodiment of the present invention, there is provided a parameter adjustment method of an air conditioning apparatus, including: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and adjusting the operation parameters of the air conditioning equipment to the target operation parameters.
Further, determining a target operation parameter of the air conditioning equipment according to the operation state and the environmental parameter includes: and determining target operation parameters of the air conditioning equipment by taking the operation state and the environmental parameters as input of a preset model, wherein the preset model is obtained by training through machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises adjustment information of the operation parameters of the air conditioning equipment in a first preset statistical period.
Further, detecting the operating state and the environmental parameters of the air conditioning equipment comprises the following steps: detecting the adjustment condition of the operating parameters of the air conditioning equipment in a preset period; and detecting the inner ring temperature and/or the outer ring temperature of the air conditioning equipment, wherein the preset period is a sub-period of the first preset statistical period.
Further, determining the target operation parameter of the air conditioning equipment according to the operation state and the environmental parameter includes: detecting initial setting parameters and current environmental parameters of air conditioning equipment; judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of a current environmental parameter; if so, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking the average value of a second type of parameters acquired in a second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period; distributing weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is larger than that of the second parameter value; and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
Further, determining the target operating parameter according to the weight of the first parameter value and the weight of the second parameter value includes: determining the product of the first parameter value and the weight corresponding to the first parameter value to obtain a first product value; determining the product of the second parameter value and the weight corresponding to the first parameter value to obtain a second product value; and carrying out the sum operation on the first product value and the second product value to obtain the target operation parameter.
Further, the adjustment information includes: the continuous operation time of the air conditioning equipment in any one operation parameter and the time point information of switching between the operation parameters.
Further, the target operating parameter includes at least one of: a set point of the air conditioning apparatus in an operation mode and an operation duration at the set point.
Further, the environmental parameter is determined by one of: the method comprises the following steps of collecting by sensors arranged on an indoor unit and an outdoor unit of the air conditioning equipment; or, the information is acquired from the network side through a communication module arranged in the air conditioning equipment.
According to another aspect of the embodiments of the present invention, there is also provided a parameter adjusting apparatus of an air conditioning device, including: the detection module is used for detecting the running state and the environmental parameters of the air conditioning equipment; the determining module is used for determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and the adjusting module is used for adjusting the operating parameters of the air conditioning equipment to the target operating parameters.
The determining module is further configured to determine a target operating parameter of the air conditioning equipment by using the operating state and the environmental parameter as inputs of a preset model, wherein the preset model is obtained by training through machine learning by using multiple groups of data, and each group of data in the multiple groups of data includes adjustment information of the operating parameter of the air conditioning equipment in a first preset statistical period.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium, where the storage medium includes a stored program, and when the program runs, the device on which the storage medium is located is controlled to execute the parameter adjustment method of the air conditioning equipment.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes the parameter adjustment method for an air conditioning equipment described in any one of the above.
According to another aspect of the embodiments of the present invention, there is also provided a terminal, including: the information acquisition device is used for detecting the running state and the environmental parameters of the air conditioning equipment; a storage medium for storing a program, wherein the program performs the following processing steps on data output from an information acquisition apparatus when running: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and adjusting the operation parameters of the air conditioning equipment to the target operation parameters.
In the embodiment of the invention, the running state and the environmental parameter of the air-conditioning equipment can be detected, the target running parameter of the air-conditioning equipment is determined according to the running state and the environmental parameter, and the running parameter of the air-conditioning equipment is adjusted to the target running parameter. In the embodiment, the operation parameters of the air conditioning equipment can be flexibly adjusted according to the detected operation state and the detected environment parameters of the air conditioning equipment, so that a user feels more comfortable when using the air conditioner, the experience feeling of the user using the air conditioner is improved, and the technical problems that the air conditioning parameters manually set in the related technology are not suitable for the current environment, the user is uncomfortable when using the air conditioner, and the user experience feeling is reduced are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a parameter adjustment method of an air conditioning apparatus according to an embodiment of the present invention;
fig. 2 is a structural diagram of a parameter adjusting apparatus of an air conditioner according to an embodiment of the present invention;
fig. 3 is a schematic diagram of another terminal according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for adjusting parameters of an air conditioner, where the steps illustrated in the flowchart of the drawings may be implemented in a computer system, such as a set of computer executable instructions, and where a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than that illustrated or described herein.
In the following embodiments of the present invention, the present invention may be applied to various electrical devices, which may include but are not limited to: the embodiments of the present invention are described with reference to an air conditioner as a preferred object of implementation, such as an air conditioner, a refrigerator, and a washing machine.
In the following embodiments, the air conditioner may include a plurality of kinds of air conditioners, which may include but are not limited to: according to the using mode, the air conditioner is divided into a wall hanging machine, a cabinet machine, a ceiling machine, a window machine, a movable air conditioner, an embedded air conditioner and the like, and according to the using environment, the air conditioner is divided into a household air conditioner and a commercial air conditioner. The air conditioner in the embodiment of the invention can be used in various environments, including users with small use areas mainly including families, restaurants and shops, and can also comprise: users in large areas such as office areas, factory areas, supermarkets and the like. When the current air conditioner is used, temperature data is often set in a long time period, parameter adjustment cannot be performed according to the current indoor and outdoor environment temperature change, the temperature sensed by a user can be the same due to the parameter setting, and the parameters of the air conditioner cannot be adjusted flexibly. In the embodiment of the invention, the parameters suitable for the environment can be determined according to the detected current operating state and the detected environmental parameters of the air-conditioning equipment and the operating state and the environmental parameters, so that the operating parameters of the air conditioner can be flexibly adjusted, and a user can feel more comfortable when using the air conditioner.
The present invention is described below with reference to preferred implementation steps, and fig. 1 is a flowchart of a parameter adjustment method for an air conditioning equipment according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
and step S102, detecting the running state and the environmental parameters of the air conditioning equipment.
And step S104, determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters.
And step S106, adjusting the operation parameters of the air conditioning equipment to the target operation parameters.
In the above steps, the operation state and the environmental parameter of the air-conditioning equipment can be detected, the target operation parameter of the air-conditioning equipment is determined according to the operation state and the environmental parameter, and the operation parameter of the air-conditioning equipment is adjusted to the target operation parameter. In the embodiment, the operation parameters of the air conditioning equipment can be flexibly adjusted according to the detected operation state and the detected environment parameters of the air conditioning equipment, so that a user feels more comfortable when using the air conditioner, the experience feeling of the user using the air conditioner is improved, and the technical problems that the air conditioning parameters manually set in the related technology are not suitable for the current environment, the user is uncomfortable when using the air conditioner, and the user experience feeling is reduced are solved.
For the above embodiment, when detecting the operation state of the air conditioning equipment, the current cooling/heating state of the air conditioning equipment may be detected, and the operation power, the voltage parameter, and the target cooling/heating temperature parameter of the air conditioning equipment may also be detected. The operation parameters needing to be adjusted can be determined according to the detected operation state of the air conditioning equipment, and the detected operation data can be used as an adjustment base number, so that the operation data of the air conditioning equipment can be adjusted. In addition, the air conditioning parameters in the present invention may also include, but are not limited to: the current temperature data of setting for, the wind speed of setting for in the present period, wind-guiding about, when the user utilizes the remote controller to control, still can set up: timing parameters, sleeping parameters, refrigerating and heating parameters, lighting parameters, E share and the like.
The environmental parameters in the embodiment of the present invention may include indoor and outdoor environmental parameters, which may include but are not limited to: indoor temperature, indoor humidity, content of each element in indoor air, outdoor temperature, outdoor humidity, content of each element in outdoor air and the like. In the present invention, detection devices may be respectively disposed in an indoor unit and an outdoor unit of an air conditioner, so as to detect indoor and outdoor environmental parameters of the air conditioner, and the detection devices may include, but are not limited to: temperature and humidity detectors/temperature and humidity sensors, element detectors, etc. And adjusting the operating parameters of the air conditioning equipment according to the detected environmental parameters and the operating state so as to adjust the operating parameters of the air conditioner into data suitable for the current environment.
For step S104, it may include: and determining target operation parameters of the air conditioning equipment by taking the operation state and the environmental parameters as input of a preset model, wherein the preset model is obtained by training through machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises adjustment information of the operation parameters of the air conditioning equipment in a first preset statistical period. In the above embodiment, when detecting the operating state and the environmental parameter of the air conditioning equipment, the method may include: detecting the adjustment condition of the operating parameters of the air conditioning equipment in a preset period; and detecting the inner ring temperature and/or the outer ring temperature of the air conditioning equipment, wherein the preset period is a sub-period of the first preset statistical period.
The above embodiment may be that after the operating state and the environmental parameters of the air conditioning device are detected, the collected data are transmitted to the air conditioning processor by using a pre-established communication network. The communication network may be a network established by using a sensor and a user gateway device, where the user gateway device may include but is not limited to: wireless network cards, wireless routing, etc. After the data are transmitted to the processor, the processor analyzes and processes the data, and transmits the data to the air conditioning server, so that the machine can continuously train and learn according to the data, thereby building a model of the operating state, the environmental parameters and the target operating parameters of the air conditioning equipment, and when the model is built, the model can be determined by using the data in a preset statistical period, wherein the first preset statistical period can be a time period set by a user or an analyst, for example, 10 days, 20 days, 100 days, and the like.
The preset model can be a model obtained by learning and training one or more air conditioners according to the user, and since the learning and training data of the model is the air conditioner data used by the user, the learning and training data is not comprehensive, and errors may exist in adjusting the air conditioner parameters. Optionally, after determining the target operation parameter of the air conditioning equipment, it is necessary to determine whether the target operation parameter is within a preset parameter range, if it is determined that the target operation parameter is not within the preset parameter range, the operation state and the environmental parameter are used as inputs of a second preset model, and receive adjustment information output according to the second preset model, and then determine again whether the adjustment information output by the second preset model is within the preset parameter range, and if the adjustment information is within the preset parameter range, the adjustment information is used as the target operation parameter of the air conditioning equipment. The second preset model can be a model obtained by data learning and training of other users inconsistent with the preset model, connection relations with other air conditioners or servers can be established through the communication module, after the server collects air conditioner parameters of a plurality of users, the corresponding second preset model is established, and specific data and model corresponding relations of the second preset model are sent to terminal equipment or an air conditioner processor where the users are located so as to be used by the air conditioner.
It should be noted that the environmental parameter may be determined by one of the following methods: the method comprises the following steps of collecting by sensors arranged on an indoor unit and an outdoor unit of the air conditioning equipment; or, the information is acquired from the network side through a communication module arranged in the air conditioning equipment. The invention relates to a method for collecting indoor environment parameters, which comprises the steps of collecting indoor environment parameters and outdoor environment parameters, wherein the indoor unit and the outdoor unit of a common air conditioner are combined to realize refrigeration and heating. Wherein, the above sensors may include but are not limited to: temperature and humidity sensor. In addition, the collected data can be transmitted to the air conditioner processor through a communication network, and the communication module in the embodiment of the invention may include the wireless network card and the like, and may also include other communication modules connected by a network cable.
Optionally, after the first preset statistical period is determined, the operation state and the environmental parameter of the historical air conditioning equipment, the corresponding adjustment information, and the target operation parameter in the first preset statistical period may be determined, so as to establish an air conditioning equipment operation parameter model, and continuously optimize the training model by using the input data. After the training model is optimized through historical data, a target operation parameter can be determined after the current environmental parameter and operation state of the air conditioning equipment are detected, and the target operation parameter can include but is not limited to: the target operation parameters may be understood as parameters adapted to the current environment, and may be different from or the same as parameters set by a user using a remote controller. For example, when the current outdoor temperature is 33 ℃ and the current indoor temperature is 30 ℃, the preset model is used to determine that the indoor temperature needs to be adjusted, the operation mode in the target operation parameters can be set to be the refrigeration mode, the indoor target refrigeration temperature is set to be 24 ℃, and the operation parameters of the air conditioning equipment are determined to be the parameters suitable for the current user through continuous adjustment and optimization. Models can be established for different users and corresponding air conditioners, so that the models can be established for each user to optimize the air conditioner use mode of each user.
The adjustment information may include: the continuous operation time of the air conditioning equipment in any one operation parameter and the time point information of switching between the operation parameters. The continuous operation time of the air conditioning equipment in any one of the operation parameters may be an adjusted operation time, for example, the air conditioning equipment is adjusted to operate for 3 hours, and the information of the time point of switching between the operation parameters may be to determine when to switch the operation parameters, for example, if it is detected that the current indoor air speed is level 3 and needs to be adjusted to level 1, then determine the time point of adjustment, for example, it needs to adjust the air speed to level 1 after 30 minutes.
In the above embodiment, the parameter of the first preset statistical period may be modeled, and the current operating parameter of the air conditioner may be adjusted according to the model, for example, when the first preset statistical period is 20 days, the indoor and outdoor temperatures at different times may be counted as model training data, so that the operating parameter may be adjusted by using the preset model after the current indoor and outdoor environmental parameters are checked.
For step S104, determining the target operating parameter of the air conditioning equipment according to the operating state and the environmental parameter may further include: detecting initial setting parameters and current environmental parameters of air conditioning equipment; judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of a current environmental parameter; if so, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking the average value of a second type of parameters acquired in a second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period; distributing weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is larger than that of the second parameter value; and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
The initial setting parameter in the above embodiment may be a setting parameter when the air conditioner is just started, for example, a user sets data such as an initial setting temperature of 22 degrees celsius, a wind speed of 3 levels, and no wind sweeping when the air conditioner is started by using a remote controller; and the current environmental parameters may be the indoor and outdoor environmental data of the house detected by the detecting device, and may include but are not limited to: an indoor temperature (e.g., 28 degrees celsius), an outdoor temperature (e.g., 29 degrees celsius), and the like, the detected indoor environment parameter and the outdoor environment parameter of the air conditioner which is just started may not be very different, and the indoor environment parameter needs to be adjusted; the second preset statistical period may be a historical preset time period, for example, 5 days, 10 days, 20 days, and the like, where the second preset statistical period may be the same as or different from the first preset statistical period, and for example, if the second preset statistical period is 15 days, the historical initial setting parameters, the environmental parameters, and the adjusted environmental parameters within 15 days may be counted, so as to adjust the environmental parameters according to the data of the second preset statistical period.
The second preset statistical period may include a first type of parameter and a second type of parameter, where the first type of parameter may be an environmental parameter consistent with a parameter value of the current environmental parameter, for example, a temperature in the current environmental parameter is 28 degrees celsius, and a temperature in the second preset statistical period is 28 degrees celsius, which may be used as the first type of parameter. After the current environmental parameter is detected, the outer ring temperature in the current environmental parameter can be used as a first type of parameter, that is, the detected current environmental parameter can be used as a reference value, whether data identical to the current environmental parameter exist in a second preset statistical period is inquired, and if the data identical to the current environmental parameter exist in the second preset statistical period, the weight of the data identical to the current environmental parameter in the second preset statistical period can be increased, so that the purpose of reasonably adjusting the environmental parameter is achieved. If there are a plurality of values of the first type parameter in the second preset statistical period, an average value of a plurality of data in the first type parameter may be used as the first parameter value of the air conditioning equipment. The second type of parameter is data inconsistent with the current environmental parameter in the second preset statistical period, for example, the temperature of the current environmental parameter is 28 degrees celsius, and if the temperature data in the second preset statistical period is 23 degrees celsius, 35 degrees celsius, and the like, the different temperature data may be used as the second type of parameter, and if a plurality of second type of parameters exist in the second preset statistical period, the average value of the plurality of data may be used as the second parameter value.
For the weights for assigning the first parameter value and the second parameter value, the first parameter value may be used as a main weight, and the assignment weight of the first parameter value is greater than that of the second parameter value, for example, the assignment weight of the first parameter value is set to 0.8, 0.9, and the assignment weight of the second parameter value is set to 0.2, 0.1, etc. If the parameters in the second preset statistical period are consistent with the current environmental parameters, whether the current environmental parameters need to be adjusted or not can be accurately determined according to the second preset statistical period, so that the accuracy of adjusting the environmental parameters and the air conditioner operation parameters is improved.
The determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value in the above embodiment may include: determining the product of the first parameter value and the weight corresponding to the first parameter value to obtain a first product value; determining the product of the second parameter value and the weight corresponding to the first parameter value to obtain a second product value; and carrying out the sum operation on the first product value and the second product value to obtain the target operation parameter.
For the target operation parameter determined according to the parameter weight, after the first parameter value and the corresponding weight are determined and the second parameter value and the corresponding weight are determined, the sum operation can be performed to obtain the target operation parameter. For example, if the first parameter value is 25, the weight is 0.8, the second parameter value is 20, and the weight is 0.2, the target operation parameter is (25 × 0.8+20 × 0.2)/2, the target operation parameter is similar to the first parameter value, and the target operation parameter is determined by the parameter in the second preset statistical period and the set weight value, so that the air conditioning equipment can adjust the current parameter value, and the comfort of the user using the air conditioner is improved.
It should be noted that the target operation parameters may include at least one of the following: a set point of the air conditioning apparatus in an operation mode and an operation duration at the set point. That is, the operation mode, the set value in the operation mode, and how long the air conditioner needs to operate may be determined, for example, if the operation mode of the air conditioner is determined to be the cooling mode, the indoor temperature is set to 22 degrees celsius, and the indoor temperature needs to be maintained at 22 degrees celsius for 5 hours, the set value of the air conditioner in the cooling mode may be determined to be 22 degrees celsius, and the operation duration time at the set value may be 5 hours.
In the embodiment of the invention, the collected parameters of the air conditioning equipment of the user can be processed by combining different implementation modes, so that the parameter setting of the air conditioner is adjusted by combining the data of the historical time period.
In the adjustment, data of a historical preset time period can be trained to obtain a corresponding model, taking the set temperature as an example, the set temperature after the air conditioner is started for 10 days can be learned (the set temperature and the duration time after the air conditioner is started are learned, and the set temperature and the duration time after the air conditioner is started are learned), and meanwhile, the current weather parameters (such as the current temperature data, the humidity data, the wind speed and the like) are obtained through the network module, so that the operation parameters of the air conditioner are adjusted.
For the above embodiment, the weight in the learning time may be divided, and the weight value may be a range, starting at 00:00 on the first day, ending at 23:59 on the 10 th day, and after 10 days, calculating the self-learning set temperature every 1 day thereafter.
It should be noted that, for data within 10 days, the set temperature (corresponding to the initial set parameter of the above embodiment) and the outer ring temperature (corresponding to the current environment parameter of the above embodiment) just after starting up are obtained as reference values of the today outer ring temperature, if there is a weather with the same outer ring temperature within the past 10 days, the set temperature weight of the weather is 0.8 (corresponding to the distribution weight of the above first type parameter), and if there is the same weather, the set temperature is averaged for different set temperatures. Setting temperatures of other weather are averaged, and the ratio is 0.2 (possibly the set temperature of the user preferred for starting up);
the duration of the time after the time is 0.8 of the duration of the time at a certain set temperature of the outdoor environment temperature, and the duration of the time at the set temperature of other weather is 0.2 of the duration of the time at the set temperature of other weather. Or the duration is determined by the inner ring temperature, the temperature of an inner ring is reached after a period of time in the same weather, the set temperature is changed, and the average value of the inner ring temperature is taken and accounts for 0.8; and (3) taking the average value of the inner ring temperatures to be 0.2 as the basis of the duration time of the current set temperature when the inner ring temperatures at the set temperature are changed in other weather, namely, changing the set temperature when the inner ring temperature is reached.
Through the embodiment, the operation temperature parameter of the current air conditioning equipment can be adjusted according to the data in 10 days in the history, so that the previous parameter setting, duration and change setting and duration of a user are collected, the parameter adjustment of the air conditioning equipment is carried out by combining the detected data such as the current weather condition, the outdoor temperature and the like, and the effect that the manually set air conditioning parameter is not suitable for the current environment is solved.
Fig. 2 is a block diagram of a parameter adjusting apparatus of an air conditioner according to an embodiment of the present invention, and as shown in fig. 2, the apparatus may include: the detection module 21 is used for detecting the running state and the environmental parameters of the air conditioning equipment; the determining module 23 is configured to determine a target operation parameter of the air conditioning equipment according to the operation state and the environmental parameter; and the adjusting module 25 is used for adjusting the operating parameters of the air conditioning equipment to the target operating parameters.
Through the embodiment, the operating state and the environmental parameter of the air conditioning equipment can be detected through the detection module 21, the target operating parameter of the air conditioning equipment can be determined through the determination module 23 according to the operating state and the environmental parameter, and the operating parameter of the air conditioning equipment is adjusted to the target operating parameter through the adjustment module 25. In the embodiment, the operation parameters of the air conditioning equipment can be flexibly adjusted according to the detected operation state and the detected environment parameters of the air conditioning equipment, so that a user feels more comfortable when using the air conditioner, the experience feeling of the user using the air conditioner is improved, and the technical problems that the air conditioning parameters manually set in the related technology are not suitable for the current environment, the user is uncomfortable when using the air conditioner, and the user experience feeling is reduced are solved.
The determining module 23 is further configured to determine a target operating parameter of the air conditioning equipment by using the operating state and the environmental parameter as inputs of a preset model, where the preset model is obtained by training through machine learning by using multiple sets of data, and each set of data in the multiple sets of data includes adjustment information of the operating parameter of the air conditioning equipment in a first preset statistical period.
The parameter adjusting device of the air conditioning equipment may further include a processor and a memory, the detecting module 21, the determining module 23, the adjusting module 25, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. The kernel can be set to be one or more, and the operating parameters of the air conditioning equipment are adjusted by adjusting the kernel parameters so as to be adjusted to be parameters suitable for the environment where the user is located.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to another aspect of the embodiments of the present invention, there is also provided a storage medium including a stored program, wherein when the program runs, a device on which the storage medium is located is controlled to execute any one of the above parameter adjusting methods for an air conditioning device.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a program, where the program executes the parameter adjusting method of the air conditioner.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and adjusting the operation parameters of the air conditioning equipment to the target operation parameters.
Optionally, when the processor executes the program, the operating state and the environmental parameter may be used as inputs of a preset model, and the target operating parameter of the air conditioning equipment is determined, where the preset model is obtained by training through machine learning using multiple sets of data, and each set of data in the multiple sets of data includes adjustment information of the operating parameter of the air conditioning equipment in a first preset statistical period.
Optionally, when the processor executes the program, the adjustment condition of the operating parameter of the air conditioning equipment in a preset period may be detected; and detecting the inner ring temperature and/or the outer ring temperature of the air conditioning equipment, wherein the preset period is a sub-period of the first preset statistical period.
Optionally, when the processor executes the program, an initial setting parameter and a current environment parameter of the air conditioning equipment may also be detected; judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of a current environmental parameter; if so, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking the average value of a second type of parameters acquired in a second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period; distributing weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is larger than that of the second parameter value; and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
Optionally, when the processor executes the program, the processor may further determine a product of the first parameter value and the weight corresponding to the first parameter value, so as to obtain a first product value; determining the product of the second parameter value and the weight corresponding to the first parameter value to obtain a second product value; and carrying out the sum operation on the first product value and the second product value to obtain the target operation parameter.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and adjusting the operation parameters of the air conditioning equipment to the target operation parameters.
Optionally, when the computer program product executes a program, the operating state and the environmental parameter may be used as inputs of a preset model, and the target operating parameter of the air conditioning equipment is determined, where the preset model is obtained by using multiple sets of data through machine learning training, and each set of data in the multiple sets of data includes adjustment information of the operating parameter of the air conditioning equipment in a first preset statistical period.
Optionally, when the computer program product executes a program, detecting an adjustment condition of an operating parameter of the air conditioning equipment in a preset period can be realized; and detecting the inner ring temperature and/or the outer ring temperature of the air conditioning equipment, wherein the preset period is a sub-period of the first preset statistical period.
Optionally, when the computer program product executes a program, detecting an initial setting parameter and a current environmental parameter of the air conditioning equipment can be further realized; judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of a current environmental parameter; if so, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking the average value of a second type of parameters acquired in a second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period; distributing weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is larger than that of the second parameter value; and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
Optionally, when the computer program product executes a program, determining a product of the first parameter value and the weight corresponding to the first parameter value to obtain a first product value; determining the product of the second parameter value and the weight corresponding to the first parameter value to obtain a second product value; and carrying out the sum operation on the first product value and the second product value to obtain the target operation parameter.
Fig. 3 is a schematic diagram of another terminal according to an embodiment of the present invention, and as shown in fig. 3, the terminal may include: the information acquisition device 31 is used for detecting the running state and the environmental parameters of the air conditioning equipment; a storage medium 33 for storing a program, wherein the program performs the following processing steps on data output from the information acquisition apparatus when running: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; and adjusting the operation parameters of the air conditioning equipment to the target operation parameters.
The information acquisition device 31 in the above embodiment can acquire the operating state and the environmental parameter of the air conditioning equipment, store the detected operating state and the detected environmental parameter of the air conditioning equipment by using the storage medium 33, determine the target operating parameter of the air conditioning equipment according to the operating state and the environmental parameter, and finally adjust the operating parameter of the air conditioning equipment to the target operating parameter. In this embodiment, the information collecting device 31 and the storage medium 33 may be used to adjust the operating data of the air conditioning equipment according to the collected environmental data.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (10)
1. A parameter adjusting method of air conditioning equipment is characterized by comprising the following steps:
detecting the running state and environmental parameters of the air conditioning equipment;
determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters;
adjusting the operating parameters of the air conditioning equipment to the target operating parameters;
determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters, wherein the target operation parameters comprise:
determining target operation parameters of the air conditioning equipment by taking the operation state and the environmental parameters as input of a preset model, wherein the preset model is obtained by training through machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises adjustment information of the operation parameters of the air conditioning equipment in a first preset statistical period;
determining the target operation parameter of the air conditioning equipment according to the operation state and the environmental parameter comprises:
detecting initial setting parameters and current environmental parameters of the air conditioning equipment;
judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of the current environmental parameter;
when the judgment result is yes, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking an average value of a second type of parameters acquired in the second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period;
assigning weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is greater than the weight of the second parameter value;
and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
2. The method of claim 1, wherein detecting the operating state and the environmental parameter of the air conditioning equipment comprises:
detecting the adjustment condition of the operating parameters of the air conditioning equipment in a preset period; and detecting the inner ring temperature and/or the outer ring temperature of the air conditioning equipment, wherein the preset period is a sub-period of the first preset statistical period.
3. The method of claim 1, wherein determining the target operating parameter as a function of the weight of the first parameter value and the weight of the second parameter value comprises:
determining the product of the first parameter value and the weight corresponding to the first parameter value to obtain a first product value; determining the product of the second parameter value and the weight corresponding to the first parameter value to obtain a second product value; and carrying out a sum operation on the first product value and the second product value to obtain the target operation parameter.
4. The method of claim 1, wherein the adjustment information comprises: the continuous operation time of the air conditioning equipment in any one of the operation parameters and the time point information of switching among the operation parameters.
5. The method of any one of claims 1 to 4, wherein the target operating parameter comprises at least one of: a set value of the air conditioning device in an operating mode and an operation duration at the set value.
6. The method of any one of claims 1 to 4, wherein the environmental parameter is determined by one of:
the method comprises the following steps of collecting through sensors arranged on an indoor unit and an outdoor unit of the air conditioning equipment; or, the information is acquired from a network side through a communication module arranged in the air conditioning equipment.
7. A parameter adjusting apparatus of an air conditioning device, comprising:
the detection module is used for detecting the running state and the environmental parameters of the air conditioning equipment;
the determining module is used for determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters;
the adjusting module is used for adjusting the operating parameters of the air conditioning equipment to the target operating parameters;
the determining module is further configured to use the operating state and the environmental parameter as inputs of a preset model to determine a target operating parameter of the air conditioning equipment, where the preset model is obtained by training through machine learning by using multiple sets of data, and each set of data in the multiple sets of data includes adjustment information of the operating parameter of the air conditioning equipment in a first preset statistical period;
the determining module is also used for detecting the initial setting parameters and the current environmental parameters of the air conditioning equipment; judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of the current environmental parameter; when the judgment result is yes, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking an average value of a second type of parameters acquired in the second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period; assigning weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is greater than the weight of the second parameter value; and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
8. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, the device where the storage medium is located is controlled to execute the parameter adjustment method of the air conditioning equipment according to any one of claims 1 to 6.
9. A processor, characterized in that the processor is configured to execute a program, wherein the program executes the method for adjusting the parameters of the air conditioning equipment according to any one of claims 1 to 6.
10. A terminal, comprising:
the information acquisition device is used for detecting the running state and the environmental parameters of the air conditioning equipment;
a storage medium for storing a program, wherein the program performs the following processing steps on data output from the information acquisition apparatus when executed: detecting the running state and environmental parameters of the air conditioning equipment; determining target operation parameters of the air conditioning equipment according to the operation state and the environmental parameters; adjusting the operating parameters of the air conditioning equipment to the target operating parameters;
the storage medium is further configured to store a program that performs the following functions: determining target operation parameters of the air conditioning equipment by taking the operation state and the environmental parameters as input of a preset model, wherein the preset model is obtained by training through machine learning by using multiple groups of data, and each group of data in the multiple groups of data comprises adjustment information of the operation parameters of the air conditioning equipment in a first preset statistical period;
the storage medium is further configured to store a program that performs the following functions: detecting initial setting parameters and current environmental parameters of the air conditioning equipment; judging whether a first type of parameter exists in a second preset statistical period, wherein the first type of parameter is an environmental parameter consistent with a parameter value of the current environmental parameter; when the judgment result is yes, taking the average value of the first type of parameters collected in the second preset statistical period as a first parameter value of the air conditioning equipment; taking an average value of a second type of parameters acquired in the second preset statistical period as a second parameter value, wherein the second type of parameters are environmental parameters which are inconsistent with the parameter value of the current environmental parameter in the second preset statistical period; assigning weights to the first parameter value and the second parameter value, wherein the weight of the first parameter value is greater than the weight of the second parameter value; and determining the target operation parameter according to the weight of the first parameter value and the weight of the second parameter value.
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| CN108954715A (en) * | 2018-07-27 | 2018-12-07 | 宁波奥克斯电气股份有限公司 | A kind of optimized operation parameter determination method, intelligent expansion module and air conditioner |
| CN109141525A (en) * | 2018-08-28 | 2019-01-04 | 深圳绿米联创科技有限公司 | Environmental parameter acquisition method, device and sensor |
| WO2020098405A1 (en) * | 2018-11-15 | 2020-05-22 | 广东美的制冷设备有限公司 | Control method for air conditioner, air conditioner and storage medium |
| CN109869867B (en) * | 2018-12-29 | 2020-06-16 | 珠海格力电器股份有限公司 | Control method and device of electric appliance, storage medium and electric appliance |
| CN112179036B (en) * | 2019-07-05 | 2022-04-26 | 青岛海尔电冰箱有限公司 | Method and device for calculating refrigerator environment temperature |
| CN112179035B (en) * | 2019-07-05 | 2022-05-20 | 青岛海尔电冰箱有限公司 | Refrigerator management method and device |
| CN110425709B (en) * | 2019-08-14 | 2021-08-03 | 长江慧控科技(武汉)有限公司 | Energy-saving control method for field environment |
| CN112648718B (en) * | 2019-10-10 | 2022-05-17 | 四川长虹空调有限公司 | Method and device for controlling temperature and humidity of air conditioner |
| CN111928420B (en) * | 2020-07-17 | 2022-02-11 | 珠海格力电器股份有限公司 | Air conditioner control method and device, electronic equipment and storage medium |
| CN113566878B (en) * | 2021-06-29 | 2023-10-24 | 青岛海尔科技有限公司 | Environment data detection method and device |
| CN114837930B (en) * | 2022-04-29 | 2024-06-14 | 中国第一汽车股份有限公司 | Control method and control device of oil pump test system and electronic device |
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