CN117968216A - Air conditioner BA control method, system, equipment and medium based on Internet of things - Google Patents
Air conditioner BA control method, system, equipment and medium based on Internet of things Download PDFInfo
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Abstract
The application relates to an air conditioner BA control method, system, equipment and medium based on the Internet of things, which comprises the steps of acquiring indoor environment parameters of the environment where air conditioner water system equipment is located when acquiring working information of the air conditioner water system equipment; acquiring operation data of the air-conditioning water system equipment, and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data; constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters; and acquiring user demand data, adjusting the operation control strategy according to the user demand data, and controlling the air-conditioning water system equipment according to the adjusted operation control strategy. The application has the effects of improving the reliability, flexibility and energy conservation of the air-conditioning water system.
Description
Technical Field
The invention relates to the technical field of air conditioner control, in particular to an air conditioner BA control method, system, equipment and medium based on the Internet of things.
Background
Along with the continuous development of the internet of things technology, more and more devices are connected to the internet, so that remote control and intelligent management are realized. Because the traditional air conditioner control mode has the problems of inflexible control, energy waste and the like, an air conditioner control system based on the Internet of things gradually becomes a research hot spot.
There are already some air conditioner control systems based on the internet of things in the market, and the systems are usually connected with air conditioning equipment and a user terminal through the internet, so that remote control and intelligent management of the air conditioner are realized. However, these systems are generally focused only on the control of the air conditioning equipment, lack of comprehensive monitoring and analysis of the operation data of the air conditioning equipment, and cannot realize fine management and energy saving optimization of the air conditioning equipment, wherein, in particular, the control of the air conditioning water system equipment is not ideal, for example, a water pump may not be effectively controlled, so that the water pressure is unstable or too high, the operation efficiency of the system and the service life of the air conditioning water system equipment are affected, and the reliability, flexibility and energy saving performance of the air conditioning water system are not ideal.
The prior art solutions described above have the following drawbacks: the existing air conditioner control system based on the Internet of things lacks of comprehensive monitoring and analysis of the operation data of air conditioning equipment, so that the air conditioner control system is not ideal in control of air conditioning water system equipment, and meanwhile, the reliability, flexibility and energy conservation of the air conditioning water system are not ideal, so that there is room for improvement.
Disclosure of Invention
In order to improve reliability, flexibility and energy conservation of an air conditioner water system, the application provides an air conditioner BA control method, system, equipment and medium based on the Internet of things.
The first object of the present application is achieved by the following technical solutions:
An air conditioner BA control method based on the Internet of things comprises the following steps:
When a working message of air-conditioning water system equipment is acquired, acquiring indoor environment parameters of the environment where the air-conditioning water system equipment is located;
Acquiring operation data of the air-conditioning water system equipment, and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data;
Constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
And acquiring user demand data, adjusting the operation control strategy according to the user demand data, and controlling the air-conditioning water system equipment according to the adjusted operation control strategy.
According to the technical scheme, the existing air-conditioning control system based on the Internet of things lacks comprehensive monitoring and analysis of operation data of air-conditioning equipment, so that the air-conditioning control system is not ideal in control of the air-conditioning water system equipment, meanwhile, reliability, flexibility and energy conservation of the air-conditioning water system are not ideal, when a working message of the air-conditioning water system equipment is acquired, indoor environment parameters of the environment where the air-conditioning water system equipment is located are acquired, accurate data support is provided for air-conditioning control, the operation parameters of the air-conditioning water system equipment are calculated according to the indoor environment parameters and the operation data, measures can be taken to optimize the equipment, operation efficiency of the air-conditioning water system equipment is improved, operation cost is reduced, an operation control strategy of the air-conditioning water system equipment is constructed according to the operation parameters, stability and reliability of the air-conditioning water system equipment are improved, the operation control strategy is adjusted according to the user demand data, control processing is conducted on the adjusted operation control strategy according to the user demand data, the operation control strategy is facilitated, the operation control strategy is enabled to be more attached to the user demand, and the user demand experience is improved, and the user experience is improved.
The present application may be further configured in a preferred example to: the acquiring the operation data of the air-conditioning water system equipment, and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data specifically comprises the following steps:
Triggering an equipment data monitoring instruction according to the working message, and acquiring operation data of the air-conditioning water equipment according to the equipment data monitoring instruction;
calculating and generating valve opening of the air-conditioning water system equipment according to the operation data and the indoor environment parameters;
And inputting the indoor environment parameters and the operation data into a preset operation calculation model to obtain the operation parameters.
According to the technical scheme, the equipment data monitoring instruction is triggered according to the working message, the operation data of the air-conditioning water system equipment is obtained according to the equipment data monitoring instruction, the operation condition of the air-conditioning water system equipment is monitored, measures can be taken to optimize the equipment, the valve opening of the air-conditioning water system equipment is calculated and generated according to the operation data and the indoor environment parameters, cooling water is fed into a cooling water pipeline, the adjustment of the air-conditioning operation temperature is achieved, the valve opening, the indoor environment parameters and the operation data are further input into a preset operation calculation model, the operation parameters are obtained, the air-conditioning water system equipment is controlled according to the operation parameter efficiency, and therefore the operation efficiency of the air-conditioning water system equipment is improved.
The present application may be further configured in a preferred example to: before the step of inputting the indoor environment parameters and the operation data to a preset operation calculation model to obtain the operation parameters, the air conditioner BA control method based on the Internet of things further comprises:
Acquiring historical operation data, historical indoor environment parameters and historical valve opening of air conditioner water system equipment, acquiring historical temperature data from the historical indoor environment parameters, and acquiring historical air conditioner operation temperature from the historical operation data;
compensating the historical temperature data for the historical air conditioner operation temperature to obtain a historical compensation air conditioner temperature;
constructing a data training set based on the historical compensation air conditioner temperature, the historical operation data, the historical indoor environment parameters and the historical valve opening;
And training the initial model according to the data training set to generate an operation calculation model.
By adopting the technical scheme, the historical temperature data is acquired from the historical indoor environment parameters through the historical operation data, the historical indoor environment parameters and the historical valve opening of the air conditioning water system equipment, the historical air conditioning operation temperature is acquired from the historical operation data, the historical air conditioning operation temperature is compensated by the historical temperature data, the historical compensation air conditioning temperature is obtained, the influence of the indoor temperature on the control of the air conditioning water system equipment is reduced, the calculation accuracy is improved, the data training set is constructed based on the historical compensation air conditioning temperature, the historical operation data, the historical indoor environment parameters and the historical valve opening, so that the data training set trains an initial model, and the operation calculation model is trained according to the influence degree of the air conditioning water system equipment in the current working state.
The present application may be further configured in a preferred example to: the construction of the operation control strategy of the air-conditioning water system equipment according to the operation parameters specifically comprises the following steps:
obtaining a corresponding expected operation load according to the operation parameter, and comparing the expected operation load with a set operation load threshold value to obtain a load comparison result;
When the expected operation load is not more than the set operation load threshold value, generating an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
and generating an operation control instruction according to the operation control strategy, and generating control ending information when the operation control is completed.
By adopting the technical scheme, the expected operation load is obtained according to the operation parameters, the load comparison is carried out on the expected operation load and the set operation load threshold value, the load comparison result is obtained, the risk caused by overload operation of the system is found, the problems of equipment damage, efficiency reduction and the like are solved, when the expected operation load is determined not to exceed the set operation load threshold value, the operation control strategy of the air-conditioning water system equipment is generated according to the operation parameters, the stability and the reliability of the air-conditioning water system equipment are improved, the operation control instruction is generated according to the operation control strategy, when the operation control is completed, the control ending information is generated, the control of the air-conditioning water system equipment is realized, the execution condition of the instruction is monitored, and the stability and the accuracy of the control process are ensured.
The present application may be further configured in a preferred example to: the method for obtaining the user demand data, adjusting the operation control strategy according to the user demand data, and controlling the air-conditioning water system equipment according to the adjusted operation control strategy specifically comprises the following steps:
Analyzing the user demand data to obtain a target mode and target data information;
According to the target mode and the target data information, the operation control strategy is adjusted, and the adjusted operation control strategy is obtained;
and generating a control process for the air-conditioning water system equipment according to the adjusted operation control strategy.
By adopting the technical scheme, the target mode and the target data information are obtained by analyzing the user demand data, the air-conditioning water system equipment according to the user situation pertinence is improved, the control accuracy is improved, the operation control strategy is adjusted according to the target mode and the target data information, the adjusted operation control strategy is obtained, the air-conditioning water system equipment is controlled according to the adjusted operation control strategy, the operation control strategy is enabled to be more accordant with the user demand, the system operation efficiency is improved, and the user experience is improved.
The present application may be further configured in a preferred example to: when the expected operation load is determined not to exceed the set operation load threshold, before the step of generating the operation control strategy of the air-conditioning water system equipment according to the operation parameter, the air-conditioning BA control method based on the internet of things further comprises:
triggering an early warning prompt message when the expected operation load exceeds the set operation load threshold value;
And generating early warning data information according to the early warning prompt message, and sending the early warning data information to a mobile phone end of a user.
By adopting the technical scheme, when the expected operation load exceeds the set operation load threshold value, the early warning prompt message is triggered, so that the situation that the operation load exceeds the threshold value is found in advance, the number of times of emergency maintenance is reduced, early warning data information is generated according to the early warning prompt message, and the early warning data information is sent to the mobile phone end of the user, so that the equipment is processed in time, the response time is reduced, the safety risk is improved, and unnecessary loss caused by overload operation is avoided.
The second object of the present application is achieved by the following technical solutions:
an air conditioner BA control system based on thing networking, air conditioner BA control system based on thing networking includes:
the data acquisition module is used for acquiring indoor environment parameters of the environment where the air-conditioning water system equipment is located when the working message of the air-conditioning water system equipment is acquired;
The calculation operation module is used for acquiring the operation data of the air-conditioning water system equipment and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data;
The automatic adjustment module is used for constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
And the user control module is used for acquiring user demand data, adjusting the operation control strategy according to the user demand data and controlling the air-conditioning water system equipment according to the adjusted operation control strategy.
According to the technical scheme, the existing air-conditioning control system based on the Internet of things lacks comprehensive monitoring and analysis of operation data of air-conditioning equipment, so that the air-conditioning control system is not ideal in control of the air-conditioning water system equipment, meanwhile, reliability, flexibility and energy conservation of the air-conditioning water system are not ideal, when a working message of the air-conditioning water system equipment is acquired, indoor environment parameters of the environment where the air-conditioning water system equipment is located are acquired, accurate data support is provided for air-conditioning control, the operation parameters of the air-conditioning water system equipment are calculated according to the indoor environment parameters and the operation data, measures can be taken to optimize the equipment, operation efficiency of the air-conditioning water system equipment is improved, operation cost is reduced, an operation control strategy of the air-conditioning water system equipment is constructed according to the operation parameters, stability and reliability of the air-conditioning water system equipment are improved, the operation control strategy is adjusted according to the user demand data, control processing is conducted on the adjusted operation control strategy according to the user demand data, the operation control strategy is facilitated, the operation control strategy is enabled to be more attached to the user demand, and the user demand experience is improved, and the user experience is improved.
The third object of the present application is achieved by the following technical solutions:
a computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the steps of the air conditioner BA control method based on the internet of things are realized when the processor executes the computer program.
The fourth object of the present application is achieved by the following technical solutions:
A computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the air conditioner BA control method based on the internet of things described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. Because the existing air-conditioning control system based on the Internet of things lacks comprehensive monitoring and analysis on the operation data of air-conditioning equipment, the air-conditioning control system is not ideal in control of the air-conditioning water system equipment, meanwhile, the reliability, flexibility and energy conservation of the air-conditioning water system are not ideal, when the working information of the air-conditioning water system equipment is acquired, the indoor environment parameters of the environment where the air-conditioning water system equipment is located are acquired, accurate data support is provided for air-conditioning control, the operation parameters of the air-conditioning water system equipment are calculated according to the indoor environment parameters and the operation data by acquiring the operation data of the air-conditioning water system equipment, measures can be taken to optimize the equipment, so that the operation efficiency of the air-conditioning water system equipment is improved, the operation cost is reduced, an operation control strategy of the air-conditioning water system equipment is constructed according to the operation parameters, the stability and the reliability of the air-conditioning water system equipment are improved, the operation control strategy is adjusted according to the user demand data, the operation control processing is performed on the air-conditioning water system equipment according to the adjusted operation control strategy, the user demand data is facilitated, the operation control strategy is more conforms to the user demand, and the user demand is improved, and the user experience is improved;
2. The method comprises the steps of acquiring historical temperature data from historical indoor environment parameters through historical operation data, historical indoor environment parameters and historical valve opening of air-conditioning water system equipment, acquiring historical air-conditioning operation temperature from the historical operation data, compensating the historical air-conditioning operation temperature by the historical temperature data to obtain historical compensation air-conditioning temperature, reducing influence of indoor temperature on control of the air-conditioning water system equipment, improving calculation accuracy, constructing a data training set based on the historical compensation air-conditioning temperature, the historical operation data, the historical indoor environment parameters and the historical valve opening, training an initial model by the data training set, and obtaining an operation calculation model according to influence degree of the air-conditioning water system equipment in an existing working state;
3. When the expected operation load exceeds the set operation load threshold value, the early warning prompt message is triggered, so that the situation that the operation load exceeds the threshold value can be found in advance, the number of times of emergency maintenance is reduced, early warning data information is generated according to the early warning prompt message, and the early warning data information is sent to a mobile phone end of a user, so that the equipment is processed in time, response time is reduced, safety risk is improved, and unnecessary loss caused by overload operation is avoided.
Drawings
Fig. 1 is a flowchart of an implementation of an air conditioner BA control method based on the internet of things in an embodiment of the present application;
Fig. 2 is a flowchart illustrating implementation of step S20 in an air conditioner BA control method based on the internet of things according to an embodiment of the present application;
Fig. 3 is a flowchart of an implementation of constructing an operation calculation model in an air conditioner BA control method based on the internet of things according to an embodiment of the present application;
Fig. 4 is a flowchart illustrating implementation of step S30 in an air conditioner BA control method based on the internet of things according to an embodiment of the present application;
Fig. 5 is a flowchart illustrating implementation of step S40 in an air conditioner BA control method based on the internet of things according to an embodiment of the present application;
Fig. 6 is a flowchart of another implementation of an air conditioner BA control method based on the internet of things according to an embodiment of the present application;
fig. 7 is a schematic block diagram of an air conditioner BA control system based on the internet of things according to an embodiment of the present application;
Fig. 8 is a schematic diagram of an apparatus in an embodiment of the application.
Detailed Description
The present application will be described in further detail with reference to the accompanying drawings.
In an embodiment, as shown in fig. 1, the application discloses an air conditioner BA control method based on the internet of things, which specifically comprises the following steps:
S10: when the working message of the air-conditioning water system equipment is acquired, acquiring the indoor environment parameters of the environment where the air-conditioning water system equipment is located.
In this embodiment, the operation message refers to a message that the air-conditioning water system device starts operation. The indoor environment parameters refer to various parameter indexes in the indoor environment where the air-conditioning water system equipment is located.
Specifically, as the BA system integrates various intelligent sensors, such as a temperature sensor, a humidity sensor and a flow meter, a carbon dioxide sensor, a water pipe temperature sensor and a flow meter, etc., these sensors can collect indoor environmental parameters, such as temperature, humidity and air quality, etc., in real time, and at the same time, can collect operation data inside the air-conditioning water system device, such as when the air-conditioning water system device is opened, a start-up operation message is generated, so that when the operation message of the air-conditioning water system device is obtained, the parameter index collected by the sensors in the indoor environment where the air-conditioning water system device is located is obtained.
S20: and acquiring the operation data of the air-conditioning water system equipment, and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data.
In this embodiment, the operation data refers to data of an operation state of the current air-conditioning water system apparatus. The operation parameters refer to operation parameters of the air-conditioning water system equipment, such as the temperature of the water outlet, the pressure of the water pump and the like, calculated according to the real-time environment and the preset requirement.
Specifically, operation data of the equipment, such as the current cooling water temperature, the current water flow and the like of the equipment, are obtained through sensors such as a water pipe temperature sensor and the like of the air-conditioning water system equipment, and the operation parameters of the current air-conditioning water system equipment, such as the relevant water outlet temperature, the water pump pressure and the like, are calculated by adopting a preset calculation model according to the indoor environment parameters acquired by the sensors and the operation conditions of the current air-conditioning water system equipment, so that the air-conditioning water system equipment is controlled according to the operation parameters, and the energy loss of the air-conditioning water system equipment is reduced.
S30: and constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters.
Specifically, through the operation parameters obtained by using a preset calculation model, for example, the obtained operation parameters such as the outlet water temperature and the water pump pressure are 20% of the maximum outlet water temperature and the maximum water pump pressure, the operation parameters meet the set operation requirements, an operation control strategy of the air-conditioning water system equipment is constructed based on the operation parameters, and the operation control strategy is used for carrying out operation control treatment on the air-conditioning water system equipment so as to enable the equipment to adapt to the surrounding environment, thereby reducing the energy consumption loss of the air-conditioning water system equipment.
S40: and acquiring user demand data, adjusting an operation control strategy according to the user demand data, and controlling and processing the air-conditioning water system equipment according to the adjusted operation control strategy.
In this embodiment, the user demand data refers to data that the user adjusts the working state of the air conditioner through the operation end or the mobile phone end.
Specifically, the BA control system further provides a humanized user interface, usually in the form of a touch screen or a mobile phone application program, so that a user can easily perform on-off and temperature adjustment operations of the air conditioning equipment through the touch screen or the mobile phone application program, and therefore the user demand data is analyzed and judged by acquiring the user demand data for adjusting the working state of the air conditioning equipment through an operation end or a mobile phone end, the target intention of the user is analyzed, and therefore the operation control strategy is adjusted, and control processing is performed on the air conditioning water system equipment according to the adjusted operation control strategy, so that the working state of the air conditioning water system equipment can achieve the user demand.
In this embodiment, because the existing air-conditioning control system based on the internet of things lacks comprehensive monitoring and analysis on the operation data of the air-conditioning equipment, the air-conditioning control system is not ideal in control of the air-conditioning water system equipment, and meanwhile, reliability, flexibility and energy conservation of the air-conditioning water system are not ideal, so when the working information of the air-conditioning water system equipment is acquired, the indoor environment parameters of the environment where the air-conditioning water system equipment is located are acquired, accurate data support is provided for air-conditioning control, the operation parameters of the air-conditioning water system equipment are calculated according to the acquired operation data and the operation parameters of the air-conditioning water system equipment, measures can be taken to optimize the equipment, so that the operation efficiency of the air-conditioning water system equipment is improved, the operation cost is reduced, an operation control strategy of the air-conditioning water system equipment is constructed according to the operation parameters, stability and reliability of the air-conditioning water system equipment are improved, the operation control strategy is adjusted according to the user demand data, the adjusted operation control strategy is controlled according to the user demand data, the air-conditioning water system equipment is facilitated to make the operation control to be more fit with the user demand strategy, and the user experience is improved.
In one embodiment, as shown in fig. 2, in step S20, operation data of the air-conditioning water system device is obtained, and operation parameters of the air-conditioning water system device are calculated according to indoor environment parameters and the operation data, which specifically includes:
S21: and triggering an equipment data monitoring instruction according to the working message, and acquiring the operation data of the air-conditioning water system equipment according to the equipment data monitoring instruction.
Specifically, according to a message of operation work of air-conditioning water system equipment, an equipment data monitoring instruction for monitoring operation data of the air-conditioning water system equipment is triggered, and according to the equipment data monitoring instruction, data of the current operation work state of the air-conditioning water system equipment is obtained.
S22: and calculating and generating the valve opening of the air-conditioning water system equipment according to the operation data and the indoor environment parameters.
Specifically, according to the obtained operation data of the air-conditioning water system equipment, cooling water flow, namely the flowing condition of the cooling water in the equipment, is obtained from the operation data, and the opening degree, namely the valve opening degree, required by the valve of the air-conditioning water system equipment is calculated by combining the characteristic curve condition of the valve, so that the cooling water can be sent into a chilled water pipeline.
S23: and inputting the valve opening, the indoor environment parameters and the operation data into a preset operation calculation model to obtain the operation parameters.
The operation calculation model judges the environment influence condition most suitable for the current working state of the air-conditioning water system equipment according to the indoor environment parameters, the operation data of the air-conditioning water system equipment and the valve opening, thereby outputting the operation parameters such as the relevant water outlet temperature, the water pump pressure and the like suitable for the current working state of the air-conditioning water system equipment so as to control the air-conditioning water system equipment according to the operation parameter efficiency.
In an embodiment, as shown in fig. 3, before step S22, that is, before the step of inputting the indoor environment parameters and the operation data into the preset operation calculation model to obtain the operation parameters, the air conditioner BA control method based on the internet of things further includes:
S211: the method comprises the steps of obtaining historical operation data, historical indoor environment parameters and historical valve opening of air conditioner water system equipment, obtaining historical temperature data from the historical indoor environment parameters, and obtaining historical air conditioner operation temperature from the historical operation data.
Specifically, by acquiring historical operation data, historical indoor environment parameters and historical valve opening degrees from a database storing control processing of air-conditioning water system equipment in the past, and acquiring historical temperature data from the historical indoor environment parameters, and acquiring historical air-conditioning operation temperature from the historical operation data, compensation temperature conditions are acquired.
S212: and compensating the historical temperature data for the historical air conditioner operation temperature to obtain the historical compensation air conditioner temperature.
Specifically, because the influence of the indoor environment temperature on the air conditioner is considered, the historical temperature data is compensated for the historical air conditioner operation temperature, so that the temperature of the air conditioner water system equipment is regulated more accurately, and the historical compensated air conditioner temperature is obtained.
S213: and constructing a data training set based on the historical compensation air conditioner temperature, the historical operation data and the historical indoor environment parameters.
Specifically, after the historical compensation air conditioner temperature is obtained, a data training set for model training is constructed based on the historical compensation air conditioner temperature, the historical operation data and the historical indoor environment parameters.
S214: and training the initial model according to the data training set to generate an operation calculation model.
Specifically, a preset initial model is selected, and the initial model is trained according to a data training set, so that a trained operation calculation model can be obtained, namely, the history compensation air conditioner temperature, history operation data, history indoor environment parameters and history valve opening are accepted as input, the environment influence condition most suitable for the current working state of the air conditioner water system equipment is judged, and the operation parameters such as the relevant water outlet temperature, the relevant water pump pressure and the like suitable for the current state of the air conditioner water system equipment are used as output.
In one embodiment, as shown in fig. 4, in step S30, an operation control strategy of the air-conditioning water system device is constructed according to the operation parameters, which specifically includes:
S31: and obtaining a corresponding expected operation load according to the operation parameters, and comparing the expected operation load with a set operation load threshold value to obtain a load comparison result.
Specifically, according to the operation parameters of the air-conditioning water system equipment, such as the water outlet temperature, the water pump pressure and the like, which are obtained through calculation of a preset operation calculation model, data of the current or future load condition of the air-conditioning water system equipment, namely the expected operation load, are obtained, and the expected operation load is compared with a set operation load threshold value to obtain a load comparison result, so that whether the air-conditioning water system equipment has high-load operation or not is judged.
S32: and when the expected operation load is not more than the set operation load threshold value, generating an operation control strategy of the air-conditioning water system equipment according to the operation parameters.
Specifically, when the expected operation load does not exceed the set operation load threshold, for example, the set operation load threshold is 80% of the full load of the air-conditioning water system equipment, wherein the full load refers to a state that the air-conditioning water system is in the highest load operation and generally needs to work under the maximum refrigerating or heating capacity, if the expected operation load is 20% of the full load, the set operation load threshold is not exceeded, that is, the air-conditioning water system equipment does not have high load operation, the air-conditioning water system equipment can be adjusted to be in an energy-saving or dormant mode, so that an operation control strategy of the air-conditioning water system equipment is generated according to operation parameters, and the working state of the air-conditioning equipment is automatically adjusted according to real-time environment and preset requirements.
S33: and generating an operation control instruction according to the operation control strategy, and generating control ending information when the operation control is completed.
Specifically, according to the operation control strategy, an operation control instruction is generated, so that the air-conditioning water system equipment is controlled according to the operation control instruction by taking the operation control strategy as a reference, and when the operation control is completed, namely, the air-conditioning water system equipment operates according to the operation control strategy, the control end information is generated.
In one embodiment, as shown in fig. 5, in step S40, user demand data is acquired, an operation control policy is adjusted according to the user demand data, and an air-conditioning water system device is controlled according to the adjusted operation control policy, which specifically includes:
s41: and analyzing the user demand data to obtain a target mode and target data information.
Specifically, user demand data for adjusting the working state of the air conditioner by a user through an operation end or a mobile phone end is obtained, the user demand data is analyzed, if a target mode selected by the user is a cooling mode, a heating mode, a dehumidifying mode and the like, and if the target mode selected by the user is the cooling mode, specific temperature, specific wind speed, wind sweeping direction and the like can be selected, so that the target mode and target data information are obtained according to an analysis result.
S42: and adjusting the operation control strategy according to the target mode and the target data information to obtain an adjusted operation control strategy.
Specifically, the target mode and the target data information are obtained according to analysis, and the working state of the air-conditioning water system equipment which is controlled and adjusted according to the indoor environment condition is automatically adjusted to the working state of the air-conditioning water system equipment which is controlled and adjusted according to the user requirement, so that the current operation control strategy which is automatically adjusted according to the indoor environment condition is adjusted to obtain the adjusted operation control strategy, and the user requirement is realized.
S43: and controlling the air-conditioning water system equipment according to the adjusted operation control strategy.
Specifically, according to the new operation control strategy obtained by adjustment, the air-conditioning water system equipment is controlled, so that the air-conditioning water system equipment can meet the requirements of the user on temperature, wind direction, wind power and the like, and the user experience is improved.
In an embodiment, as shown in fig. 6, before step S32, the air conditioner BA control method based on the internet of things further includes:
s311: and triggering an early warning prompt message when the expected operation load exceeds the set operation load threshold value.
Specifically, when the expected operation load exceeds the set operation load threshold, namely the expected operation load exceeds 80% of the full load of the air-conditioning water system equipment, the air-conditioning water system equipment is in high-load operation, and when the operation time is too long, the service life of the equipment is easy to shorten, even the equipment is damaged, so that an early warning prompt message of possible faults of the air-conditioning water system equipment is triggered.
S321: and generating early warning data information according to the early warning prompt message, and sending the early warning data information to a mobile phone end of the user.
Specifically, early warning data information is generated according to the early warning prompt message, and the early warning data information is sent to a mobile phone end of a user, so that the air-conditioning water system equipment can be maintained in advance, and the accidental shutdown time of the air-conditioning water system equipment due to overheat protection is reduced.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present application.
In an embodiment, an air conditioner BA control system based on the internet of things is provided, where the air conditioner BA control system based on the internet of things corresponds to the air conditioner BA control method based on the internet of things in the above embodiment one by one. As shown in fig. 7, the air conditioner BA control system based on the internet of things comprises a data acquisition module, a calculation operation module, an automatic adjustment module and a user control module. The functional modules are described in detail as follows:
The data acquisition module is used for acquiring indoor environment parameters of the environment where the air-conditioning water system equipment is located when the working message of the air-conditioning water system equipment is acquired;
The computing operation module is used for acquiring the operation data of the air-conditioning water system equipment and computing the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data;
The automatic adjustment module is used for constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
And the user control module is used for acquiring user demand data, adjusting the operation control strategy according to the user demand data and controlling and processing the air-conditioning water system equipment according to the adjusted operation control strategy.
Optionally, the computing operation module specifically includes:
the operation acquisition sub-module is used for triggering an equipment data monitoring instruction according to the working message and acquiring operation data of the air-conditioning water system equipment according to the equipment data monitoring instruction;
the valve calculation sub-module is used for calculating and generating the valve opening of the air-conditioning water system equipment according to the operation data and the indoor environment parameters;
The operation calculation sub-module is used for inputting the valve opening, the indoor environment parameters and the operation data into a preset operation calculation model to obtain the operation parameters.
Optionally, the air conditioner BA control system based on the internet of things further includes:
The historical data acquisition module is used for acquiring historical operation data, historical indoor environment parameters and historical valve opening of the air conditioner water system equipment, acquiring historical temperature data from the historical indoor environment parameters and acquiring historical air conditioner operation temperature from the historical operation data;
The temperature compensation module is used for compensating the historical temperature data for the historical air conditioner operation temperature to obtain the historical compensation air conditioner temperature;
The training set constructing module is used for constructing a data training set based on the historical compensation air conditioner temperature, the historical operation data, the historical indoor environment parameters and the historical valve opening;
And the model output module is used for training the initial model according to the data training set and generating an operation calculation model.
Optionally, the automatic adjustment module specifically includes:
The load comparison sub-module is used for acquiring a corresponding expected operation load according to the operation parameters, and comparing the expected operation load with a set operation load threshold value to obtain a load comparison result;
The strategy constructing sub-module is used for generating an operation control strategy of the air-conditioning water system equipment according to the operation parameters when the expected operation load is determined not to exceed the set operation load threshold;
And the operation control sub-module is used for generating an operation control instruction according to an operation control strategy, and generating control ending information when the operation control is completed.
Optionally, the user control module specifically includes:
the demand analysis sub-module is used for analyzing the demand data of the user to obtain a target mode and target data information;
the strategy adjustment sub-module is used for adjusting the operation control strategy according to the target mode and the target data information to obtain an adjusted operation control strategy;
and the control processing sub-module is used for generating control processing for the air-conditioning water system equipment according to the adjusted operation control strategy.
Optionally, the air conditioner BA control system based on the internet of things further includes:
The triggering early warning module is used for triggering early warning prompt messages when the expected operation load exceeds the set operation load threshold value;
and the sending early warning module is used for generating a buzzing prompt instruction according to the early warning prompt message and sending the early warning prompt message to a mobile phone end of the user according to the buzzing prompt instruction.
For specific limitation of the air conditioner BA control system based on the internet of things, reference may be made to the limitation of the air conditioner BA control method based on the internet of things hereinabove, and the description thereof will not be repeated here. All or part of each module in the air conditioner BA control system based on the Internet of things can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used for storing data information of indoor environment parameters, operation data, operation control strategies, operation control instructions and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program, when executed by the processor, is used for realizing an air conditioner BA control method based on the Internet of things.
In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor, implements the steps of the above air conditioner BA control method based on the internet of things.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the system is divided into different functional units or modules to perform all or part of the above-described functions.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the application has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. The air conditioner BA control method based on the Internet of things is characterized by comprising the following steps of:
When a working message of air-conditioning water system equipment is acquired, acquiring indoor environment parameters of the environment where the air-conditioning water system equipment is located;
Acquiring operation data of the air-conditioning water system equipment, and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data;
Constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
And acquiring user demand data, adjusting the operation control strategy according to the user demand data, and controlling the air-conditioning water system equipment according to the adjusted operation control strategy.
2. The method for controlling the air conditioner BA based on the internet of things according to claim 1, wherein the obtaining the operation data of the air conditioner water system device, and calculating the operation parameters of the air conditioner water system device according to the indoor environment parameters and the operation data, specifically comprises:
Triggering an equipment data monitoring instruction according to the working message, and acquiring the operation data of the air-conditioning water equipment according to the equipment data monitoring instruction;
calculating and generating valve opening of the air-conditioning water system equipment according to the operation data and the indoor environment parameters;
And inputting the valve opening, the indoor environment parameters and the operation data into a preset operation calculation model to obtain the operation parameters.
3. The air conditioner BA control method based on the internet of things according to claim 2, wherein before the step of inputting the valve opening, the indoor environment parameter and the operation data into a preset operation calculation model to obtain the operation parameter, the air conditioner BA control method based on the internet of things further comprises:
Acquiring historical operation data, historical indoor environment parameters and historical valve opening of air conditioner water system equipment, acquiring historical temperature data from the historical indoor environment parameters, and acquiring historical air conditioner operation temperature from the historical operation data;
compensating the historical temperature data for the historical air conditioner operation temperature to obtain a historical compensation air conditioner temperature;
constructing a data training set based on the historical compensation air conditioner temperature, the historical operation data, the historical indoor environment parameters and the historical valve opening;
And training the initial model according to the data training set to generate an operation calculation model.
4. The method for controlling the air conditioner BA based on the internet of things according to claim 1, wherein the constructing the operation control policy of the air conditioner water system device according to the operation parameter specifically comprises:
obtaining a corresponding expected operation load according to the operation parameter, and comparing the expected operation load with a set operation load threshold value to obtain a load comparison result;
When the expected operation load is not more than the set operation load threshold value, generating an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
and generating an operation control instruction according to the operation control strategy, and generating control ending information when the operation control is completed.
5. The method for controlling the air conditioner BA based on the internet of things according to claim 1, wherein the acquiring the user demand data, adjusting the operation control policy according to the user demand data, and controlling the air conditioner water system device according to the adjusted operation control policy, specifically comprises:
Analyzing the user demand data to obtain a target mode and target data information;
According to the target mode and the target data information, the operation control strategy is adjusted, and the adjusted operation control strategy is obtained;
and generating a control process for the air-conditioning water system equipment according to the adjusted operation control strategy.
6. The air conditioning BA control method based on the internet of things according to claim 1, wherein before the step of generating the operation control policy of the air conditioning water system device according to the operation parameter when it is determined that the expected operation load does not exceed the set operation load threshold, the air conditioning BA control method based on the internet of things further comprises:
triggering an early warning prompt message when the expected operation load exceeds the set operation load threshold value;
And generating early warning data information according to the early warning prompt message, and sending the early warning data information to a mobile phone end of a user.
7. Air conditioner BA control system based on thing networking, its characterized in that, air conditioner BA control system based on thing networking includes:
the data acquisition module is used for acquiring indoor environment parameters of the environment where the air-conditioning water system equipment is located when the working message of the air-conditioning water system equipment is acquired;
The calculation operation module is used for acquiring the operation data of the air-conditioning water system equipment and calculating the operation parameters of the air-conditioning water system equipment according to the indoor environment parameters and the operation data;
The automatic adjustment module is used for constructing an operation control strategy of the air-conditioning water system equipment according to the operation parameters;
And the user control module is used for acquiring user demand data, adjusting the operation control strategy according to the user demand data and controlling the air-conditioning water system equipment according to the adjusted operation control strategy.
8. The air conditioner BA control system of claim 7, further comprising:
The triggering early warning module is used for triggering early warning prompt messages when the expected operation load exceeds the set operation load threshold value;
And the early warning module is used for generating a buzzing prompt instruction according to the early warning prompt message and sending the early warning prompt message to a mobile phone end of a user according to the buzzing prompt instruction.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor, when executing the computer program, implements the steps of the air conditioning BA control method based on internet of things as claimed in any one of claims 1 to 6.
10. A computer-readable storage medium storing a computer program, wherein the computer program when executed by a processor implements the steps of the air conditioner BA control method based on the internet of things as claimed in any one of claims 1 to 6.
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| CN202410181529.1A CN117968216A (en) | 2024-02-18 | 2024-02-18 | Air conditioner BA control method, system, equipment and medium based on Internet of things |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202410181529.1A CN117968216A (en) | 2024-02-18 | 2024-02-18 | Air conditioner BA control method, system, equipment and medium based on Internet of things |
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