Multi-target optimization regulation and control method, system and equipment for air source heat pump and storage medium

Abstract

The invention relates to an air source heat pump multi-objective optimization regulation and control method, system and device and a storage medium, and the method comprises the steps: obtaining the device data and environment data of all air source heat pumps, and storing the device data and environment data in a historical database; performing equipment analysis on the equipment data to obtain corresponding working data, and performing feature analysis on the environment data to obtain environment parameters; performing information evaluation on the air source heat pump according to the environment parameters and the working data to obtain corresponding heat pump information; a single heat pump target corresponding to the air source heat pump is obtained, regulation and control analysis is conducted according to the heat pump information and the single heat pump target, and a corresponding single regulation and control strategy is obtained; and obtaining a historical regulation strategy from the historical database, carrying out comprehensive analysis on all single regulation strategies to obtain an initial regulation strategy, and carrying out optimization processing on the initial regulation strategy according to the historical regulation strategy to obtain a comprehensive regulation strategy. According to the invention, increasingly complicated user requirements and environment changes can be met.

Description

Technical Field

[0001] The present invention relates to the technical field of air source heat pumps, and in particular to a multi-objective optimization control method, system, equipment and storage medium for an air source heat pump. Background Art

[0002] As an efficient and energy-saving heating technology, the current air source heat pump has been widely used in modern building heating systems. However, the current air source heat pump control system often only focuses on a single goal, such as pursuing the highest energy efficiency ratio or the lowest operating cost, while ignoring other important operating indicators. This single-objective optimization method cannot meet the increasingly complex user needs and environmental changes, resulting in many limitations in practical applications. For example, under extreme weather conditions, the expected heating effect may not be achieved; in addition, the lack of an effective historical data utilization mechanism makes it difficult to learn from past experience and optimize its own operating strategy, thus affecting the long-term reliability and economy of the entire system. Summary of the invention

[0003] The main purpose of the present invention is to provide an air source heat pump aggregation prediction and peak load task instruction coordinated control method and system, which can meet the increasingly complex user needs and environmental changes.

[0004] To achieve the above object, the present invention provides a multi-objective optimization control method for an air source heat pump, comprising: Acquire equipment data and environmental data of all air source heat pumps, and store the equipment data and environmental data in a historical database; Performing equipment analysis on the equipment data to obtain corresponding working data, and performing feature analysis on the environmental data to obtain environmental parameters; Performing information evaluation on the air source heat pump according to the environmental parameters and the working data to obtain corresponding heat pump information; Acquire a single heat pump target corresponding to the air source heat pump, perform control analysis according to the heat pump information and the single heat pump target, and obtain a corresponding single control strategy; The historical control strategies are obtained from the historical database, all the single control strategies are comprehensively analyzed to obtain an initial control strategy, and the initial control strategy is optimized according to the historical control strategies to obtain a comprehensive control strategy.

[0005] Furthermore, the obtaining of equipment data and environmental data of the air source heat pump and storing the equipment data and environmental data in a historical database includes: By acquiring the original meteorological data collected by the environmental collection equipment deployed on each of the air source heat pumps, the original meteorological data is denoised and filtered to obtain cleaned data, and the cleaned data is classified and processed accordingly according to the corresponding air source heat pump to obtain the environmental data corresponding to each of the air source heat pumps; Obtaining the original heat pump data of each of the air source heat pumps, performing anomaly detection on all the original heat pump data according to a preset anomaly detection rule, performing anomaly processing on the detected original heat pump data, obtaining corresponding normal heat pump data, marking all normal heat pump data accordingly, and obtaining the device data corresponding to each of the air source heat pumps; The environmental data and the equipment data are integrated and stored in the historical database.

[0006] Further, the performing of equipment analysis on the equipment data to obtain corresponding working data, and performing of feature analysis on the environment data to obtain environment parameters, include: The environmental data is screened for characteristic parameters according to a preset characteristic selection rule to obtain temperature data, humidity data and wind speed data, and the temperature data, humidity data and wind speed data are standardized and integrated to obtain the environmental parameters; Performing data analysis on the equipment data to obtain operating status, energy consumption data, heating capacity and compressor frequency, performing power calculation on the operating status and energy consumption data to obtain power data, performing heat calculation on the energy consumption data and heating capacity to obtain heating capacity data, and performing efficiency analysis on the energy consumption data and compressor frequency to obtain efficiency data; The power data, the heat supply data and the efficiency data are integrated and processed to obtain the working data.

[0007] Furthermore, the information evaluation of the air source heat pump is performed based on the environmental parameters and the working data to obtain corresponding heat pump information, including: Matching and analyzing the environmental parameters and the working data to obtain corresponding correlation results; Calculating energy efficiency ratio data of the air source heat pump according to the heating data and the energy consumption data; Analyze the heating capacity of the air source heat pump under different environmental conditions based on the environmental parameters and the heating data to obtain corresponding heating information; Analyze the efficiency of the air source heat pump under different environmental conditions based on the environmental parameters and the efficiency data to obtain corresponding operating efficiency information; Based on the correlation results, energy efficiency ratio data, heating information and operation efficiency information, the air source heat pump is comprehensively analyzed to obtain the corresponding heat pump information.

[0008] Furthermore, the obtaining of a single heat pump target corresponding to the air source heat pump, performing control analysis according to the heat pump information and the single heat pump target, and obtaining a corresponding single control strategy includes: Acquire the single heat pump target of each of the air source heat pumps, and associate and match each of the single heat pump targets with each of the heat pump information one by one to obtain association information; Performing a detailed demand analysis on the single heat pump target to obtain the corresponding target demand of the single air source heat pump; The heat pump information corresponding to the target demand is acquired according to the associated information, and a control analysis is performed based on the target demand and the heat pump information to generate the corresponding single control strategy.

[0009] Further, the historical control strategy is obtained from the historical database, all the single control strategies are comprehensively analyzed to obtain an initial control strategy, and the initial control strategy is optimized according to the historical control strategy to obtain a comprehensive control strategy, including: Comprehensively analyzing all the heat pump information to obtain corresponding comprehensive heat pump information, matching the comprehensive heat pump information with the historical database, and obtaining the historical control strategy with the highest matching degree; All the single control strategies are initially integrated to obtain an integrated control strategy, and the integrated adjustment strategy is comprehensively analyzed based on the comprehensive heat pump information, the comprehensive analysis includes counting the frequency of occurrence of each single control strategy, predicting the effect of the single control strategy to obtain a prediction result, analyzing the compatibility of the single control strategy, weighting the frequency, prediction result and compatibility to obtain a comprehensive weight value, and analyzing and reorganizing the integrated adjustment strategy based on the comprehensive weight value to obtain the initial control strategy; The initial control strategy is optimized according to the historical control strategy to obtain the comprehensive control strategy.

[0010] The present invention also provides an air source heat pump multi-objective optimization control system, which is applied to any of the above-mentioned air source heat pump multi-objective optimization control methods, comprising: A collection module, the collection module is used to obtain equipment data and environmental data of all air source heat pumps, and store the equipment data and environmental data in a historical database; An analysis module, the analysis module is used to perform equipment analysis on the equipment data to obtain corresponding working data, and perform feature analysis on the environmental data to obtain environmental parameters; An evaluation module, the evaluation module is used to perform information evaluation on the air source heat pump according to the environmental parameters and the working data to obtain corresponding heat pump information; A processing module, the processing module is used to obtain a single heat pump target corresponding to the air source heat pump, perform control analysis according to the heat pump information and the single heat pump target, and obtain a corresponding single control strategy; A control module is used to obtain historical control strategies from the historical database, conduct a comprehensive analysis of all the single control strategies to obtain an initial control strategy, optimize the initial control strategy based on the historical control strategy, and obtain a comprehensive control strategy.

[0011] The present invention also provides a multi-objective optimization control device for an air source heat pump, comprising: Memory, used to store programs; The processor is used to execute the program to implement each step of the multi-objective optimization control method of an air source heat pump as described in any one of the above.

[0012] The present invention also provides a storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute any of the above methods.

[0013] The present invention provides the following beneficial effects: Through comprehensive analysis of environmental parameters and equipment working data, the operation mode of the heat pump can be adjusted in real time to better adapt to changes in the external environment and internal load requirements. This not only helps to improve the operating efficiency of the heat pump under different climatic conditions, but also ensures the comfort of the indoor environment, thereby improving the user experience. By comprehensively considering multiple operating goals, multi-objective optimization of the heat pump system is achieved, thereby improving the overall performance in multiple dimensions. With the optimization processing of historical control strategies, past data can be used to continuously improve the control strategy, ensuring that the heat pump system can maintain a good operating state in the long term, reducing unnecessary maintenance costs, and also extending the service life of the equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a flow chart of a multi-objective optimization control method for an air source heat pump provided by the present invention; Figure 2 This is a structural diagram of a multi-objective optimization control system for an air source heat pump provided by the present invention; Figure 3 This is a structural diagram of a multi-objective optimization and control device for an air source heat pump provided by the present invention.

[0015] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0016] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0017] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods.

[0018] Reference Figure 1 As shown, the present invention provides a multi-objective optimization control method for an air source heat pump, comprising: Step S1: Obtain equipment data and environmental data of all air source heat pumps, and store the equipment data and environmental data in a historical database; Step S2: Perform equipment analysis on the equipment data to obtain corresponding working data, and perform feature analysis on the environmental data to obtain environmental parameters; Step S3: Evaluate the information of the air source heat pump according to the environmental parameters and the working data to obtain the corresponding heat pump information; Step S4: obtaining a single heat pump target corresponding to the air source heat pump, performing control analysis according to the heat pump information and the single heat pump target, and obtaining a corresponding single control strategy; Step S5: Obtain historical control strategies from the historical database, conduct a comprehensive analysis of all single control strategies to obtain an initial control strategy, optimize the initial control strategy based on the historical control strategy to obtain a comprehensive control strategy.

[0019] Based on the above steps, the detailed process is as follows: Step S1: Collect equipment operation data in real time from sensors and monitoring systems of each air source heat pump, including the working status of the compressor, pressure, temperature, flow rate of the condenser and evaporator, etc. Collect meteorological data of the environment where the heat pump is located, including outdoor temperature, humidity, wind speed. It also includes indoor environmental data, such as indoor temperature, humidity, etc.

[0020] The collected equipment data and environmental data are preprocessed, converted into a specific storage format, and stored in a historical database. Preprocessing includes data cleaning, missing value filling, outlier processing, etc. to ensure data quality.

[0021] Step S2: Statistically analyze the equipment data and extract key operating data, such as compressor operating time, cooling / heating capacity, energy consumption, etc.

[0022] Feature extraction of environmental data can be performed to obtain key environmental parameters that affect the operation of the heat pump, such as outdoor temperature and humidity. Data transformation, such as standardization and normalization, is also required to eliminate dimensional effects. Equipment data and environmental data are integrated together to form a complete data set for subsequent analysis.

[0023] Step S3: Evaluate the information of the air source heat pump based on the environmental parameters and working data, including evaluating the energy efficiency ratio (COP), operation stability, and failure rate of the heat pump.

[0024] Generate heat pump information that reflects the performance and status of the heat pump. The heat pump information can be a quantitative indicator or a qualitative description. The heat pump information includes the current operating status of the heat pump, fault diagnosis results, and recommended maintenance measures.

[0025] Step S4: Obtain the single heat pump target corresponding to the air source heat pump, and perform control analysis based on the heat pump information and the single heat pump target, including adjusting the heat pump operating parameters, such as compressor speed, fan speed, water circulation rate, etc. Based on the results of the control analysis, generate a single control strategy for the single heat pump. The single control strategy includes changing the working mode of the heat pump, adjusting the operating parameters, etc. Step S5: Retrieve and obtain previous historical control strategies from the historical database, conduct a comprehensive analysis of all single control strategies, and generate an initial control strategy covering all heat pumps based on the results of the comprehensive analysis. The initial control strategy takes into account the coordination of the overall system and how to achieve the best overall performance.

[0026] Using historical control strategies as a reference, the initial control strategy is optimized. Optimization involves fine-tuning the strategy to avoid problems that occurred in the past or to use new technical means to improve performance.

[0027] The final comprehensive control strategy is a control scheme that comprehensively considers the single heat pump target, historical experience and the overall performance of the system.

[0028] The present invention provides a multi-objective optimization and control method for an air source heat pump. Through a comprehensive analysis of environmental parameters and equipment working data, the operation mode of the heat pump can be adjusted in real time to better adapt to external environmental changes and internal load requirements. This not only helps to improve the operating efficiency of the heat pump under different climatic conditions, but also ensures the comfort of the indoor environment, thereby improving the user experience. By comprehensively considering multiple operating objectives, multi-objective optimization of the heat pump system is achieved, thereby improving the overall performance in multiple dimensions. With the help of the optimization processing of historical control strategies, past data can be used to continuously improve the control strategy, ensuring that the heat pump system can maintain a good operating state in the long term, reducing unnecessary maintenance costs, and also extending the service life of the equipment.

[0029] In one embodiment, obtaining equipment data and environmental data of an air source heat pump and storing the equipment data and environmental data in a historical database includes: By acquiring the original meteorological data collected by the environmental collection equipment deployed on each air source heat pump, the original meteorological data is denoised and filtered to obtain cleaned data, and the cleaned data is classified and processed according to the corresponding air source heat pump to obtain the environmental data corresponding to each air source heat pump; Obtain the original heat pump data of each air source heat pump, perform anomaly detection on all the original heat pump data according to the preset anomaly detection rules, perform anomaly processing on the detected original heat pump data, obtain the corresponding normal heat pump data, mark all the normal heat pump data accordingly, and obtain the corresponding equipment data of each air source heat pump; Integrate environmental data and equipment data and store them in a historical database.

[0030] This embodiment ensures the accuracy of environmental data and improves the reliability and effectiveness of subsequent analysis by denoising and filtering the original meteorological data. The application of anomaly detection rules can effectively identify and process abnormal heat pump data, ensuring the authenticity and integrity of equipment data. High-quality data helps to more accurately evaluate the performance and status of the heat pump, thereby formulating a more reasonable control strategy and improving the overall stability of the system. By optimizing and controlling the operating parameters of the heat pump, the energy efficiency ratio (COP) of the heat pump can be improved, the operating cost can be reduced, and the economic benefits can be improved.

[0031] In one embodiment, device data is analyzed to obtain corresponding working data, and environmental data is analyzed to obtain environmental parameters, including: The environmental data is screened for characteristic parameters according to preset feature selection rules to obtain temperature data, humidity data and wind speed data, which are then standardized and integrated to obtain environmental parameters.

[0032] The equipment data is analyzed to obtain the operating status, energy consumption data (including the electrical energy consumption when the heat pump is running), heating amount (heat generated by the heat pump) and compressor frequency (the operating frequency of the heat pump compressor).

[0033] Power calculation is performed on the operating status and energy consumption data to obtain power data, which reflects the instantaneous power consumption of the heat pump when it is running.

[0034] The energy consumption data and the heating capacity are calculated to obtain the heating supply data, which reflects the amount of heat that the heat pump can provide.

[0035] Efficiency analysis is performed on energy consumption data and compressor frequency to obtain efficiency data, which reflects the efficiency of heat pump operation.

[0036] The power data, heating data and efficiency data are integrated and processed to obtain working data that comprehensively reflects the operating status of the heat pump.

[0037] This embodiment ensures the accuracy and consistency of environmental parameters and improves the reliability of subsequent analysis by performing feature selection and standardization on environmental data. The extraction and calculation of operating status, energy consumption data, heating amount and compressor frequency in equipment data analysis ensure the integrity and accuracy of working data. High-quality working data helps to more accurately evaluate the performance and status of the heat pump, thereby formulating a more reasonable control strategy and improving the overall stability of the system. By optimizing and controlling the operating parameters of the heat pump, the energy efficiency ratio (COP) of the heat pump can be improved, the operating cost can be reduced, and the economic benefits can be improved. In one embodiment, information of the air source heat pump is evaluated based on the environmental parameters and the working data to obtain corresponding heat pump information, including: Environmental parameters (such as temperature data, humidity data and wind speed data) and working data (such as power data, heating data and efficiency data) are matched and analyzed to obtain corresponding correlation results.

[0038] The energy efficiency ratio data of the air source heat pump is calculated based on the heating data and energy consumption data. The energy efficiency ratio data is an important indicator to measure the performance of the heat pump system, which indicates the amount of heat that can be generated for every unit of electrical energy consumed.

[0039] Based on environmental parameters and heating data, the heating capacity of air source heat pumps under different environmental conditions is analyzed. The heating capacity performance under different temperature, humidity and wind speed conditions is analyzed to obtain the corresponding heating information.

[0040] Based on environmental parameters and efficiency data, the efficiency of the air source heat pump under different environmental conditions is analyzed. By analyzing the operating efficiency performance of the heat pump under different environmental conditions, the corresponding operating efficiency information is obtained.

[0041] Based on the correlation results, energy efficiency ratio data, heating information and operating efficiency information, a comprehensive analysis of the air source heat pump is conducted to obtain the corresponding heat pump information. The heat pump information reflects the performance characteristics and operating status of the heat pump under different environmental conditions.

[0042] This embodiment can accurately evaluate the impact of environmental conditions on heat pump performance and improve the accuracy of data analysis by matching and analyzing environmental parameters and working data. By analyzing the heating capacity and operating efficiency of air source heat pumps under different environmental conditions, it can better adapt to various environmental changes and ensure efficient and stable operation under different conditions. Calculating energy efficiency ratio data can help identify which combinations of environmental conditions and operating parameters can achieve higher energy efficiency ratios, thereby guiding the optimization and regulation of the heat pump system. By comprehensively analyzing correlation results, energy efficiency ratio data, heating information, and operating efficiency information, intelligent decision support is achieved, enabling the heat pump system to make the best regulation decisions under different environmental conditions.

[0043] In one embodiment, a single heat pump target corresponding to the air source heat pump is obtained, and a control analysis is performed according to the heat pump information and the single heat pump target to obtain a corresponding single control strategy, including: Obtain a single heat pump target for each air source heat pump, including temperature control targets, energy saving targets, and comfort targets.

[0044] Each single heat pump target is associated and matched with each heat pump information one by one to obtain associated information.

[0045] Conduct a detailed demand analysis on the single heat pump target to obtain the corresponding target demand of the single air source heat pump. For example, if the goal is energy saving, it is necessary to analyze how to reduce energy consumption while ensuring comfort; if it is temperature control, it is necessary to consider how to quickly reach the set temperature and keep it stable.

[0046] The heat pump information corresponding to the target demand is obtained according to the associated information, and control analysis is performed based on the target demand and the heat pump information to determine the key factors affecting the performance of the heat pump. Based on the analysis results, a corresponding single control strategy is generated. The control strategy includes adjusting the working mode of the heat pump, changing operating parameters (such as temperature setting point), optimizing the circulating water flow, etc.

[0047] This embodiment can more effectively utilize energy and improve the overall efficiency of the heat pump system by accurately matching the target of the heat pump with the actual operating conditions. It can reduce unnecessary energy loss, thereby saving operating costs. Through detailed analysis of target requirements, it can better meet the personalized needs of users and improve user satisfaction. Through reasonable control strategies, it can reduce excessive wear of equipment and extend the service life of the heat pump system. It can reduce maintenance costs and reduce the possibility of failures.

[0048] In one embodiment, historical control strategies are obtained from a historical database, all single control strategies are comprehensively analyzed to obtain an initial control strategy, and the initial control strategy is optimized according to the historical control strategy to obtain a comprehensive control strategy, including: Comprehensively analyze all heat pump information to obtain the corresponding comprehensive heat pump information, match the comprehensive heat pump information with the historical database, and obtain the historical control strategy with the highest matching degree.

[0049] All single control strategies are initially integrated to obtain an integrated control strategy, and the integrated adjustment strategy is comprehensively analyzed based on the comprehensive heat pump information. The comprehensive analysis includes counting the frequency of each single control strategy, predicting the effect of the single control strategy to obtain the prediction result, analyzing the compatibility of the single control strategy, and weighting the frequency, prediction result and compatibility to obtain the comprehensive weight value. The integrated adjustment strategy is analyzed and reorganized based on the comprehensive weight value to obtain the initial control strategy; The initial control strategy is optimized according to the historical control strategy to obtain a comprehensive control strategy.

[0050] This embodiment uses a comprehensive analysis of the heat pump information to more accurately identify the operating status and potential problems, thereby formulating a more effective control strategy. Matching historical control strategies helps to avoid known problems and learn from successful experiences, thereby improving the overall operating efficiency of the system. Through effect prediction, the impact of control strategies on energy consumption can be evaluated in advance, and those strategies that can reduce energy consumption can be selected. Frequency statistics help identify the most commonly used and effective strategies in actual operations, reducing unnecessary energy waste. Compatibility analysis ensures that the selected control strategies can work together to avoid conflicts or interference with each other. Weight calculation and comprehensive analysis ensure that the control strategy not only considers a single factor, but comprehensively evaluates multiple key indicators. The optimized control strategy can better cope with environmental changes and demand fluctuations, and improve the adaptability of the system.

[0051] Reference Figure 2 As shown, the present invention also provides an air source heat pump multi-objective optimization control system, which is applied to any of the above-mentioned air source heat pump multi-objective optimization control methods, including: The acquisition module is used to obtain the equipment data and environmental data of all air source heat pumps and store the equipment data and environmental data in the historical database; Analysis module: The analysis module is used to perform equipment analysis on equipment data to obtain corresponding working data, and perform feature analysis on environmental data to obtain environmental parameters; An evaluation module, which is used to evaluate the air source heat pump information based on environmental parameters and working data to obtain corresponding heat pump information; A processing module, the processing module is used to obtain a single heat pump target corresponding to the air source heat pump, perform control analysis according to the heat pump information and the single heat pump target, and obtain a corresponding single control strategy; The control module is used to obtain historical control strategies from the historical database, conduct a comprehensive analysis of all single control strategies to obtain an initial control strategy, optimize the initial control strategy based on the historical control strategy, and obtain a comprehensive control strategy.

[0052] The present invention provides a multi-objective optimization and control method for an air source heat pump. Through a comprehensive analysis of environmental parameters and equipment working data, the operation mode of the heat pump can be adjusted in real time to better adapt to external environmental changes and internal load requirements. This not only helps to improve the operating efficiency of the heat pump under different climatic conditions, but also ensures the comfort of the indoor environment, thereby improving the user experience. By comprehensively considering multiple operating objectives, multi-objective optimization of the heat pump system is achieved, thereby improving the overall performance in multiple dimensions. With the help of the optimization processing of historical control strategies, past data can be used to continuously improve the control strategy, ensuring that the heat pump system can maintain a good operating state in the long term, reducing unnecessary maintenance costs, and also extending the service life of the equipment.

[0053] Reference Figure 3 As shown, the present invention also provides a multi-objective optimization control device for an air source heat pump, comprising: Memory, used to store programs; A processor is used to execute a program to implement each step of a multi-objective optimization control method for an air source heat pump as described above.

[0054] In this embodiment, the processor and the memory may be connected via a bus or other means. The memory may include a volatile memory, such as a random access memory; the memory may also include a non-volatile memory, such as a read-only memory, a flash memory, a hard disk, or a solid-state drive. The processor may be a general-purpose processor, such as a central processing unit, a digital signal processor, an application-specific integrated circuit, or one or more integrated circuits configured to implement the embodiments of the present invention.

[0055] The present invention also provides a storage medium storing computer instructions, wherein the computer instructions are used to enable a computer to execute any of the above methods.

[0056] It should be noted that technicians in the relevant technical field can clearly understand that for the convenience and conciseness of description, the specific working process of the system and each module described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0057] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A multi-objective optimization control method for an air source heat pump, characterized in that: include: Acquire equipment data and environmental data of all air source heat pumps, and store the equipment data and environmental data in a historical database; Performing equipment analysis on the equipment data to obtain corresponding working data, and performing feature analysis on the environmental data to obtain environmental parameters; Performing information evaluation on the air source heat pump according to the environmental parameters and the working data to obtain corresponding heat pump information; Acquire a single heat pump target corresponding to the air source heat pump, perform control analysis according to the heat pump information and the single heat pump target, and obtain a corresponding single control strategy; The historical control strategies are obtained from the historical database, all the single control strategies are comprehensively analyzed to obtain an initial control strategy, and the initial control strategy is optimized according to the historical control strategies to obtain a comprehensive control strategy.

2. The multi-objective optimization control method of air source heat pump according to claim 1 is characterized in that: The obtaining of equipment data and environmental data of the air source heat pump and storing the equipment data and environmental data in a historical database includes: By acquiring the original meteorological data collected by the environmental collection equipment deployed on each of the air source heat pumps, the original meteorological data is denoised and filtered to obtain cleaned data, and the cleaned data is classified and processed accordingly according to the corresponding air source heat pump to obtain the environmental data corresponding to each of the air source heat pumps; Obtaining the original heat pump data of each of the air source heat pumps, performing anomaly detection on all the original heat pump data according to a preset anomaly detection rule, performing anomaly processing on the detected original heat pump data, obtaining corresponding normal heat pump data, marking all normal heat pump data accordingly, and obtaining the device data corresponding to each of the air source heat pumps; The environmental data and the equipment data are integrated and stored in the historical database.

3. The multi-objective optimization control method of air source heat pump according to claim 1 is characterized in that: The performing equipment analysis on the equipment data to obtain corresponding working data, and performing feature analysis on the environment data to obtain environment parameters, includes: The environmental data is screened for characteristic parameters according to a preset characteristic selection rule to obtain temperature data, humidity data and wind speed data, and the temperature data, humidity data and wind speed data are standardized and integrated to obtain the environmental parameters; Performing data analysis on the equipment data to obtain operating status, energy consumption data, heating capacity and compressor frequency, performing power calculation on the operating status and energy consumption data to obtain power data, performing heat calculation on the energy consumption data and heating capacity to obtain heating capacity data, and performing efficiency analysis on the energy consumption data and compressor frequency to obtain efficiency data; The power data, the heat supply data and the efficiency data are integrated and processed to obtain the working data.

4. The multi-objective optimization control method for air source heat pump according to claim 3 is characterized in that: The information evaluation of the air source heat pump is performed according to the environmental parameters and the working data to obtain corresponding heat pump information, including: Matching and analyzing the environmental parameters and the working data to obtain corresponding correlation results; Calculating energy efficiency ratio data of the air source heat pump according to the heating data and the energy consumption data; Analyze the heating capacity of the air source heat pump under different environmental conditions based on the environmental parameters and the heating data to obtain corresponding heating information; Analyze the efficiency of the air source heat pump under different environmental conditions based on the environmental parameters and the efficiency data to obtain corresponding operating efficiency information; Based on the correlation results, energy efficiency ratio data, heating information and operation efficiency information, the air source heat pump is comprehensively analyzed to obtain the corresponding heat pump information.

5. The multi-objective optimization control method of air source heat pump according to claim 1 is characterized in that: The acquiring of a single heat pump target corresponding to the air source heat pump, and performing control analysis according to the heat pump information and the single heat pump target to obtain a corresponding single control strategy include: Acquire the single heat pump target of each of the air source heat pumps, and associate and match each of the single heat pump targets with each of the heat pump information one by one to obtain association information; Performing a detailed demand analysis on the single heat pump target to obtain the corresponding target demand of the single air source heat pump; The heat pump information corresponding to the target demand is acquired according to the associated information, and a control analysis is performed based on the target demand and the heat pump information to generate the corresponding single control strategy.

6. The multi-objective optimization control method of air source heat pump according to claim 1 is characterized in that: The method of obtaining the historical control strategy from the historical database, comprehensively analyzing all the single control strategies to obtain the initial control strategy, and optimizing the initial control strategy according to the historical control strategy to obtain the comprehensive control strategy includes: Comprehensively analyzing all the heat pump information to obtain corresponding comprehensive heat pump information, matching the comprehensive heat pump information with the historical database, and obtaining the historical control strategy with the highest matching degree; All the single control strategies are initially integrated to obtain an integrated control strategy, and the integrated adjustment strategy is comprehensively analyzed based on the comprehensive heat pump information, the comprehensive analysis includes counting the frequency of occurrence of each single control strategy, predicting the effect of the single control strategy to obtain a prediction result, analyzing the compatibility of the single control strategy, weighting the frequency, prediction result and compatibility to obtain a comprehensive weight value, and analyzing and reorganizing the integrated adjustment strategy based on the comprehensive weight value to obtain the initial control strategy; The initial control strategy is optimized according to the historical control strategy to obtain the comprehensive control strategy.

7. A multi-objective optimization control system for air source heat pumps, characterized in that: The multi-objective optimization control method for an air source heat pump applied to claims 1 to 6 above comprises: A collection module, the collection module is used to obtain equipment data and environmental data of all air source heat pumps, and store the equipment data and environmental data in a historical database; An analysis module, the analysis module is used to perform equipment analysis on the equipment data to obtain corresponding working data, and perform feature analysis on the environmental data to obtain environmental parameters; An evaluation module, the evaluation module is used to perform information evaluation on the air source heat pump according to the environmental parameters and the working data to obtain corresponding heat pump information; A processing module, the processing module is used to obtain a single heat pump target corresponding to the air source heat pump, perform control analysis according to the heat pump information and the single heat pump target, and obtain a corresponding single control strategy; A control module is used to obtain historical control strategies from the historical database, conduct a comprehensive analysis of all the single control strategies to obtain an initial control strategy, optimize the initial control strategy based on the historical control strategy, and obtain a comprehensive control strategy.

8. An air source heat pump multi-objective optimization control device, characterized in that: include: Memory, used to store programs; A processor is used to execute the program to implement each step of the multi-objective optimization control method of an air source heat pump as described in any one of claims 1 to 6.

9. A storage medium, characterized in that: Computer instructions are stored, and the computer instructions are used to make a computer execute the method according to any one of claims 1 to 6.

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