Air source heat pump system heat load quantification method, device and system and storage medium

Abstract

The invention relates to an air source heat pump system heat load quantification method, device and system and a storage medium. The method comprises the steps that system data of an air source heat pump system are obtained, and building data, temperature data and building purpose information of a building where the air source heat pump system is located are obtained; performing overall structure analysis on the building data to obtain corresponding building structure data, and performing regional analysis on the building data based on the building purpose information to obtain building regional data; performing association analysis on the system data according to the building area data to obtain corresponding area system data; performing regional demand analysis on the comprehensive thermal load data based on regional system data to obtain corresponding regional thermal load data; and performing strategy analysis according to the building area data and the thermal load data to obtain an area scheduling strategy, and performing comprehensive analysis on all the area scheduling strategies to obtain a comprehensive adjustment strategy. The method can flexibly adjust the thermal load quantification strategy.

Description

Technical Field

[0001] The present invention relates to the technical field of air source heat pumps, and in particular to a method, device, system and storage medium for quantifying heat load of an air source heat pump system. Background Art

[0002] As an efficient and environmentally friendly heating and cooling solution, air source heat pump systems have been widely used in modern buildings. With the increasing attention to energy efficiency and sustainable development, how to accurately quantify the heat load of air source heat pump systems to achieve efficient operation of the system and energy conservation and emission reduction has become one of the research focuses. Existing heat load quantification methods often only consider a single factor, such as the overall structure of the building or the ambient temperature, while ignoring the differences in the internal space of the building and the impact of the building's use on the heat load. This simplified method will lead to inaccurate estimates of the heat load, thereby affecting the performance of the air source heat pump system. Summary of the invention

[0003] The main purpose of the present invention is to provide a method, device, system and storage medium for quantifying the heat load of an air source heat pump system, which can accurately estimate the heat load and flexibly adjust the heat load quantification strategy.

[0004] The present invention provides a method for quantifying heat load of an air source heat pump system, comprising: Acquire system data of the air source heat pump system, and acquire building data, temperature data, and building use information of the building where the air source heat pump system is located; Performing overall structural analysis on the building data to obtain corresponding building structural data, and performing regional analysis on the building data based on the building use information to obtain the building regional data; Mapping the system data to the building structure data, and performing correlation analysis on the system data according to the building area data to obtain corresponding area system data; Performing an overall demand analysis on the system data according to the temperature data to obtain corresponding comprehensive heat load data, and performing a regional demand analysis on the comprehensive heat load data based on the regional system data to obtain corresponding regional heat load data; A strategy analysis is performed based on the building area data and the heat load data to obtain a regional scheduling strategy, and a comprehensive analysis is performed on all the regional scheduling strategies to obtain a comprehensive adjustment strategy.

[0005] Furthermore, the obtaining of system data of the air source heat pump system, obtaining building data, temperature data and building use information of the building where the air source heat pump system is located, includes: By acquiring the original data collected by the collection equipment set in the building, the original data is divided into types to obtain initial three-dimensional data and the temperature data, the initial three-dimensional data is analyzed for buildings to obtain corresponding initial building data, and the use of the initial building data is analyzed to obtain initial use information, and the reference building data and reference use information of the building are obtained from the storage database of the air source heat pump system; Correcting the initial building data according to the reference building data to obtain the building data, and correcting the initial use information according to the reference use information to obtain the building use information; Acquiring initial data through the air source heat pump system, determining whether the initial data meets the preset abnormality requirements, and when it is detected that the initial data meets the abnormality requirements, performing abnormality cleaning on the initial data to obtain the system data; The building data, the temperature data, the building usage information and the system data are stored in a storage database.

[0006] Further, the overall structural analysis of the building data is performed to obtain the corresponding building structural data, and the regional analysis of the building data is performed based on the building use information to obtain the building regional data, including: Performing a three-dimensional analysis on the building data to obtain information on the number of building floors, building area, building volume, building exterior wall materials and building window types, and performing a comprehensive analysis on the number of building floors, building area, building volume, building exterior wall materials and building window types to obtain the building structure data; Performing regional analysis on the building number of floors, building area, building volume, building exterior wall materials and building window type information according to the building use information to obtain the corresponding building area data; Structurally associating the building area data with the building structure data to obtain an association relationship, and determining whether the association relationship meets the requirements of a preset association rule. When the requirements of the association rule are met, the building area data is successfully associated with the building structure data; When the requirements of the association rule are not met, the building area data is structurally associated with the building structure data again.

[0007] Furthermore, the system data is mapped to the building structure data, and the system data is analyzed for association according to the building area data to obtain the corresponding area system data, including: S1: Mapping the system data to the building structure data and obtaining the corresponding basic mapping relationship, performing relationship analysis on the system data according to the building use information to obtain the corresponding functional relationship; S2: performing association analysis on the building area data based on the functional relationship to obtain first association data, and mapping the system data to the building area data according to the basic mapping relationship to obtain second association data; S3: Correcting the second associated data according to the first associated data to obtain the regional system data; S4: Determine whether the regional system data meets a preset correlation analysis standard; S5: If satisfied, the regional system data generation is completed; S6: If not, return to steps S3-S4 and perform correction processing again until the standard is met.

[0008] Further, performing an overall demand analysis on the system data according to the temperature data to obtain corresponding comprehensive heat load data, and performing a regional demand analysis on the comprehensive heat load data based on the regional system data to obtain corresponding regional heat load data, includes: Analyzing the temperature data to obtain an indoor target temperature and an outdoor temperature, and calculating the difference between the outdoor temperature and the indoor target temperature to obtain a differential temperature; Performing a heat energy demand analysis on the system data according to the indoor target temperature to obtain a target heat energy demand, performing a heat energy demand analysis on the system data according to the outdoor temperature and the differential temperature to obtain a first heat energy maintenance demand, and performing a comprehensive analysis on the first heat energy maintenance demand and the target heat energy demand to obtain first heat energy demand data; Performing a heat energy demand analysis on the system data according to the building use information and the target heat energy demand to obtain second heat energy demand data, and performing a comprehensive analysis on the first heat energy demand data and the second heat energy demand data to obtain the comprehensive heat load data; Performing regional allocation of the regional system data according to the target heat energy demand to obtain the corresponding regional target demand; Performing regional analysis on the comprehensive heat load data according to the regional system data to obtain first regional load data; Distributing heat energy to the building area data according to the comprehensive heat load data to obtain second area load data; Based on the regional target demand and the second regional load data, the first regional load data is comprehensively analyzed and processed to obtain the corresponding regional heat load data.

[0009] Furthermore, the strategy analysis is performed based on the building area data and the heat load data to obtain a regional scheduling strategy, and all the regional scheduling strategies are comprehensively analyzed to obtain a comprehensive adjustment strategy, including: Performing a single dispatch analysis on the heat load data according to the building area data to obtain corresponding single area dispatch demand information, and obtaining a corresponding historical single dispatch strategy according to the single area dispatch demand information; Performing a strategy analysis on the single-area dispatching demand information to obtain the corresponding initial single dispatching strategy, performing strategy matching on the initial single dispatching strategy and the historical single dispatching strategy based on the initial single-area dispatching demand information, and optimizing the initial single dispatching strategy based on the successfully matched historical single dispatching strategy to obtain a revised single strategy; The modified single strategy is weighted according to the single area dispatch demand information to obtain a corresponding single weight value, and all the modified single strategies are comprehensively analyzed according to all the single weight values ​​to obtain the comprehensive adjustment strategy.

[0010] The present invention further provides a heat load quantification device for an air source heat pump system, which is applied to any of the above-mentioned heat load quantification methods for an air source heat pump system, comprising: An acquisition module, the acquisition module is used to obtain system data of the air source heat pump system, and obtain building data, temperature data and building use information of the building where the air source heat pump system is located; An analysis module, the analysis module is used to perform an overall structural analysis on the building data to obtain corresponding building structure data, and perform a regional analysis on the building data based on the building use information to obtain the building regional data; An association module, the association module is used to map the system data to the building structure data, and perform association analysis on the system data according to the building area data to obtain corresponding area system data; A processing module, the processing module is used to perform an overall demand analysis on the system data according to the temperature data to obtain corresponding comprehensive heat load data, and perform a regional demand analysis on the comprehensive heat load data based on the regional system data to obtain corresponding regional heat load data; A control module is used to perform a strategy analysis based on the building area data and the heat load data to obtain a regional scheduling strategy, and to perform a comprehensive analysis on all the regional scheduling strategies to obtain a comprehensive adjustment strategy.

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

[0012] The present invention provides the following beneficial effects: By conducting overall structural analysis and regional analysis of building data and combining it with building use information, the heat load demand of different areas can be more accurately evaluated, thereby improving the accuracy of heat load estimation and providing a more reliable basis for system design and operation. By mapping system data to building structure data and conducting correlation analysis based on building area data, refined management of heat load demand in different areas can be achieved, which helps to achieve heating or cooling on demand and avoid energy waste. Based on temperature data, overall demand analysis of system data can ensure that the system can operate efficiently in different seasons and ambient temperatures, reduce unnecessary energy consumption, and improve the overall operation efficiency of the system. By comprehensively analyzing building area data and heat load data, a more reasonable regional scheduling strategy can be formulated, and the optimized operation of the entire system can be achieved through a comprehensive adjustment strategy, thereby effectively utilizing energy and reducing energy consumption and environmental pollution. And by considering the impact of building use on heat load, the heat load quantification strategy can be flexibly adjusted according to the spatial characteristics and demand changes of different uses, making the system more adaptable to diverse demand scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a flow chart of a heat load quantification method of an air source heat pump system provided by the present invention; Figure 2 It is a structural diagram of a heat load quantification device for an air source heat pump system provided by the present invention; Figure 3 This is a structural diagram of a heat load quantification system of an air source heat pump system provided by the present invention.

[0014] 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

[0015] 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.

[0016] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods.

[0017] Reference Figure 1 As shown, the present invention provides a method for quantifying heat load of an air source heat pump system, comprising: Step A1: Obtain operating parameters from the air source heat pump system, such as temperature, pressure, flow, energy consumption, etc. Collect basic building information, such as building area, number of floors, room layout, insulation performance, window type, etc. Obtain external ambient temperature, indoor temperature, historical temperature data, etc. Collect building use information, such as residential, office, commercial, etc.

[0018] Step A2: Analyze the collected building data and extract the building's structural information, such as wall structure, roof structure, floor structure, window type and location, etc., to form building structural data. According to the building use information, divide the building into different areas (for example, different rooms in a residence, different floors or areas in an office building), analyze the function, usage time, personnel activities, etc. of each area, and obtain building area data.

[0019] Step A3: Map the operating data of the air source heat pump system to different structural parts of the building. For example, distribute the heat output of the heat pump to each room or area. According to the building area data, perform correlation analysis on the system data, identify the system parameters corresponding to each area, and obtain the regional system data. For example, analyze the relationship between the temperature demand of each room and the heating capacity of the heat pump system.

[0020] Step A4: Analyze the heat load demand of the entire building based on the external ambient temperature and historical temperature data to obtain comprehensive heat load data. For example, by calculating the total heat demand during the heating period. Based on the regional system data, subdivide the comprehensive heat load data into each region and analyze the specific heat load demand of each region. For example, analyze the specific heat demand of each room in different time periods to obtain regional heat load data.

[0021] Step A5: Develop a scheduling strategy for each area based on the building area data and the regional heat load data, for example, determine the heating priority and time schedule for each room or area.

[0022] Comprehensively analyze all regional scheduling strategies to optimize the operation strategy of the entire air source heat pump system. For example, optimize the start and stop time of the heat pump to avoid overload operation during peak hours, balance the heating demand of each area, and obtain a comprehensive adjustment strategy.

[0023] The present invention provides a heat load quantification method for an air source heat pump system. By performing overall structural analysis and regional analysis on building data and combining building use information, the heat load demand of different regions can be more accurately evaluated, thereby improving the accuracy of heat load estimation and providing a more reliable basis for system design and operation. By mapping system data to building structure data and performing correlation analysis based on building area data, refined management of heat load demand in different regions is achieved, which helps to achieve heating or cooling on demand and avoid energy waste. By performing overall demand analysis on system data based on temperature data, it can ensure that the system can operate efficiently in different seasons and ambient temperatures, reduce unnecessary energy consumption, and improve the overall operating efficiency of the system. By comprehensively analyzing building area data and heat load data, a more reasonable regional scheduling strategy is formulated, and the optimized operation of the entire system is achieved through a comprehensive adjustment strategy, thereby effectively utilizing energy and reducing energy consumption and environmental pollution. And by considering the impact of building use on heat load, the heat load quantification strategy can be flexibly adjusted according to the spatial characteristics and demand changes of different uses, so that the system is more adaptable to diverse demand scenarios.

[0024] In one embodiment, the system data of the air source heat pump system is obtained, and the building data, temperature data and building use information of the building where the air source heat pump system is located are obtained, including: By acquiring the original data collected by the collection equipment installed in the building, the original data is split into types to obtain initial three-dimensional data and temperature data, the initial three-dimensional data is subjected to building analysis to obtain the corresponding initial building data, and the use of the initial building data is analyzed to obtain initial use information, and the reference building data and reference use information of the building are obtained from the storage database of the air source heat pump system; The initial building data is modified based on the reference building data to obtain the building data, and the initial use information is modified based on the reference use information to obtain the building use information. The building use information includes the use type of the building (such as residential, office, commercial, etc.).

[0025] Acquire initial data through the air source heat pump system, determine whether the initial data meets the preset abnormal requirements, and when it is detected that the initial data meets the abnormal requirements, perform abnormal cleaning on the initial data to obtain system data; Store building data, temperature data, building usage information and system data into a storage database.

[0026] This embodiment collects raw data through acquisition equipment installed in the building, splits it into types, and separates the initial three-dimensional data and temperature data, thereby ensuring the accuracy of the data and clear classification, which is convenient for subsequent analysis. By performing architectural analysis on the initial three-dimensional data, the initial building data is extracted, and further analysis is performed to obtain the initial use information. It helps to understand the basic structural characteristics and usage properties of the building, and provides basic data for subsequent corrections. By obtaining reference building data and reference use information from the storage database of the air source heat pump system, historical data or standard data can be used as a benchmark to more accurately evaluate the validity of the current data.

[0027] In one embodiment, overall structural analysis is performed on building data to obtain corresponding building structural data, and regional analysis is performed on building data based on building use information to obtain building regional data, including: The building data is analyzed three-dimensionally to obtain information on the number of building floors, building area, building volume, building exterior wall materials and building window types. The number of building floors, building area, building volume, building exterior wall materials and building window types are comprehensively analyzed to obtain building structure data.

[0028] Based on the building use information, regional analysis is performed on the building number of floors, building area, building volume, building exterior wall materials and building window type information to obtain the corresponding building area data.

[0029] Structural association is performed between the building area data and the building structure data to obtain an association relationship, and it is determined whether the association relationship meets the requirements of the preset association rule. When the requirements of the association rule are met, the building area data and the building structure data are successfully associated; When the requirements of the association rules are not met, the building area data and the building structure data are re-structured.

[0030] The association rules include: The degree of match between different use areas and specific structural features.

[0031] Whether the zoning is reasonable, for example, whether the residential area is properly separated from the commercial area.

[0032] Whether the material and window type are suitable for the intended use.

[0033] This embodiment improves the accuracy of these basic information by performing a three-dimensional analysis on the building data, extracting the number of building floors, building area, building volume, building exterior wall materials and building window type information. Regional analysis is performed based on the building use information to obtain building area data corresponding to the use, ensuring the rationality of regional division. Structural association of building area data with building structure data helps to better understand how different parts of the building interact with each other. By judging whether the association relationship meets the requirements of the preset association rules, the logical consistency and rationality between the building area data and the building structure data are ensured. Accurate building structure data and building area data can provide important reference for building design, renovation and maintenance.

[0034] In one embodiment, the system data is mapped to the building structure data, and the system data is analyzed for correlation according to the building area data to obtain the corresponding area system data, including: S1: Match various data in the building management system (such as equipment information, energy consumption data, etc.) with the structural data of the actual building (such as floor layout, room size, etc.) to establish a mapping relationship between the two. On this basis, define which system data is associated with which structural data to form a basic mapping relationship. According to the purpose of the building (such as office, residence, commercial, etc.), further analyze the functional relationship between the system data and the building purpose to obtain the corresponding functional relationship; S2: Association analysis based on functional relationships: Based on the functional relationships, association analysis is performed on the building area data to find out which area data are associated with specific functional relationships.

[0035] Obtaining first associated data: The first associated data obtained from the above analysis refers to those building area data that are directly related to functional relationships.

[0036] Perform secondary mapping according to the basic mapping relationship: Then, according to the basic mapping relationship established in the first step, the system data is mapped to the building area data again to obtain the second associated data.

[0037] S3: Correct the second associated data according to the first associated data to obtain regional system data.

[0038] S4: Determine whether the regional system data meets the preset correlation analysis standard; S5: If satisfied, the regional system data generation is completed; S6: If not, return to steps S3-S4 and perform correction processing again until the standard is met.

[0039] This embodiment ensures that the system data can accurately reflect the actual condition of the building by carefully analyzing the mapping relationship between the system data and the building structure data. Functional relationship analysis based on building use information helps to ensure that the data is consistent with the specific application scenario and improve the relevance and practicality of the data. Through association analysis, consistent connections are established between multiple data sets, so that data from different sources can verify and support each other. The correction processing step can eliminate inconsistencies in the data and ensure data consistency across the entire system. The generation and correction of regional system data ensures that managers can make decisions based on accurate data, improving the efficiency and quality of decision-making. Regional system data that meets preset standards can be directly used to guide activities such as maintenance, energy management, and space planning, thereby optimizing resource utilization.

[0040] In one embodiment, overall demand analysis is performed on system data according to temperature data to obtain corresponding comprehensive heat load data, and regional demand analysis is performed on the comprehensive heat load data based on regional system data to obtain corresponding regional heat load data, including: Analyze the temperature data to obtain the indoor target temperature and the outdoor temperature, calculate the difference between the outdoor temperature and the indoor target temperature, and obtain the difference temperature; Performing a heat energy demand analysis on the system data according to the indoor target temperature to obtain the target heat energy demand, performing a heat energy demand analysis on the system data according to the outdoor temperature and the differential temperature to obtain the first heat energy maintenance demand, and performing a comprehensive analysis on the first heat energy maintenance demand and the target heat energy demand to obtain the first heat energy demand data; Performing heat energy demand analysis on system data according to building use information and target heat energy demand to obtain second heat energy demand data, and performing comprehensive analysis on the first heat energy demand data and the second heat energy demand data to obtain comprehensive heat load data; According to the target heat energy demand, the regional system data is regionally allocated to obtain the corresponding regional target demand; Performing regional analysis on the comprehensive heat load data according to the regional system data to obtain first regional load data; Distribute heat energy to the building area data according to the comprehensive heat load data to obtain the second area load data; Based on the regional target demand and the second regional load data, the first regional load data is comprehensively analyzed and processed to obtain corresponding regional heat load data.

[0041] This embodiment improves the comfort of residents or users by accurately controlling the target temperature of each zone. This is particularly important in commercial and public buildings. Analyzing and adjusting the heat energy demand of each zone can achieve energy saving effects. For example, reducing the amount of heating during periods when heating is not required, or reducing the air conditioning load during non-working hours. By monitoring and predicting the outdoor temperature, the system settings can be adjusted in advance to cope with upcoming temperature changes and reduce the impact of temperature fluctuations on the indoor environment. Comprehensive consideration of the target heat energy demand and heat maintenance demand helps to optimize the overall performance of the system and ensure that the best energy efficiency is achieved while meeting the comfort level.

[0042] In one embodiment, a strategy analysis is performed based on building area data and heat load data to obtain a regional scheduling strategy, and a comprehensive analysis is performed on all regional scheduling strategies to obtain a comprehensive adjustment strategy, including: Based on the building area data (including the structural characteristics of the building, usage information, etc.), a single scheduling analysis is performed on the heat load data to obtain the corresponding single area scheduling demand information (the heat load data is analyzed based on the building area data to obtain the heat load demand under specific conditions in each area), and the corresponding historical single scheduling strategy is obtained based on the single area scheduling demand information.

[0043] A strategy analysis is performed on the single-area scheduling demand information to obtain the corresponding initial single scheduling strategy. The initial single scheduling strategy and the historical single scheduling strategy are matched based on the initial single-area scheduling demand information. If there is a successful matching strategy, the advantages of these historical strategies are used to optimize the initial single scheduling strategy, thereby obtaining a revised single strategy.

[0044] According to the scheduling demand information of a single area, the importance weight of each modified single strategy is calculated.

[0045] Based on a comprehensive analysis of all modified single strategies and their corresponding single weight values, the final comprehensive adjustment strategy is obtained.

[0046] This embodiment can more accurately identify the heat load demand of each area by performing a single scheduling analysis based on the building area data, so as to formulate a scheduling strategy that better meets the actual needs. By matching and optimizing with the historical single scheduling strategy, past successful experiences can be used to improve the current scheduling strategy and improve the effectiveness and applicability of the strategy. By calculating the weight values ​​of each modified single strategy and conducting a comprehensive analysis, it can ensure that the final comprehensive adjustment strategy is more comprehensive and balanced, and better meets the overall heat load demand. Through the continuous strategy matching and optimization process, the system can continuously adjust and optimize the scheduling strategy according to changes in actual conditions, thereby enhancing the flexibility and adaptability of the system.

[0047] The present invention further provides a heat load quantification device for an air source heat pump system, which is applied to any of the above-mentioned heat load quantification methods for an air source heat pump system, comprising: The acquisition module is used to obtain system data of the air source heat pump system, and obtain building data, temperature data and building use information of the building where the air source heat pump system is located; An analysis module is used to perform overall structural analysis on the building data to obtain corresponding building structure data, and to perform regional analysis on the building data based on building use information to obtain building regional data; The association module is used to map the system data to the building structure data, and to perform association analysis on the system data according to the building area data to obtain the corresponding area system data; A processing module, the processing module is used to perform an overall demand analysis on the system data according to the temperature data to obtain the corresponding comprehensive heat load data, and perform a regional demand analysis on the comprehensive heat load data based on the regional system data to obtain the corresponding regional heat load data; The control module is used to perform strategy analysis based on building area data and heat load data to obtain regional scheduling strategies, and to conduct comprehensive analysis on all regional scheduling strategies to obtain comprehensive adjustment strategies.

[0048] The heat load quantification device of an air source heat pump system provided by the present invention can more accurately evaluate the heat load demand of different areas by performing overall structural analysis and regional analysis on building data, combined with building use information, thereby improving the accuracy of heat load estimation and providing a more reliable basis for system design and operation. By mapping system data to building structure data and performing correlation analysis based on building area data, refined management of heat load demand in different areas is achieved, which helps to achieve heating or cooling on demand and avoid energy waste. Based on temperature data, overall demand analysis of system data can ensure that the system can operate efficiently in different seasons and ambient temperatures, reduce unnecessary energy consumption, and improve the overall operation efficiency of the system. By comprehensively analyzing building area data and heat load data, a more reasonable regional scheduling strategy is formulated, and the optimized operation of the entire system is achieved through a comprehensive adjustment strategy, thereby effectively utilizing energy and reducing energy consumption and environmental pollution. And by considering the impact of building use on heat load, the heat load quantification strategy can be flexibly adjusted according to the spatial characteristics and demand changes of different uses, so that the system is more adaptable to diversified demand scenarios.

[0049] The present invention also provides a heat load quantification system for an air source heat pump system, comprising: Memory, used to store programs; The processor is used to execute the program to implement each step of the method for quantifying the heat load of an air source heat pump system as described in any one of the above.

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] 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 method for quantifying heat load of an air source heat pump system, characterized in that: include: Acquire system data of the air source heat pump system, and acquire building data, temperature data, and building use information of the building where the air source heat pump system is located; Performing overall structural analysis on the building data to obtain corresponding building structural data, and performing regional analysis on the building data based on the building use information to obtain the building regional data; Mapping the system data to the building structure data, and performing correlation analysis on the system data according to the building area data to obtain corresponding area system data; Performing an overall demand analysis on the system data according to the temperature data to obtain corresponding comprehensive heat load data, and performing a regional demand analysis on the comprehensive heat load data based on the regional system data to obtain corresponding regional heat load data; A strategy analysis is performed based on the building area data and the heat load data to obtain a regional scheduling strategy, and a comprehensive analysis is performed on all the regional scheduling strategies to obtain a comprehensive adjustment strategy.

2. The method for quantifying heat load of an air source heat pump system according to claim 1, characterized in that: The method of obtaining the system data of the air source heat pump system and obtaining the building data, temperature data and building use information of the building where the air source heat pump system is located includes: By acquiring the original data collected by the collection equipment set in the building, the original data is divided into types to obtain initial three-dimensional data and the temperature data, the initial three-dimensional data is analyzed for buildings to obtain corresponding initial building data, and the use of the initial building data is analyzed to obtain initial use information, and the reference building data and reference use information of the building are obtained from the storage database of the air source heat pump system; Correcting the initial building data according to the reference building data to obtain the building data, and correcting the initial use information according to the reference use information to obtain the building use information; Acquiring initial data through the air source heat pump system, determining whether the initial data meets the preset abnormality requirements, and when it is detected that the initial data meets the abnormality requirements, performing abnormality cleaning on the initial data to obtain the system data; The building data, the temperature data, the building usage information and the system data are stored in a storage database.

3. The method for quantifying heat load of an air source heat pump system according to claim 1, characterized in that: The overall structural analysis of the building data is performed to obtain the corresponding building structural data, and the regional analysis of the building data is performed based on the building use information to obtain the building regional data, including: Performing a three-dimensional analysis on the building data to obtain information on the number of building floors, building area, building volume, building exterior wall materials and building window types, and performing a comprehensive analysis on the number of building floors, building area, building volume, building exterior wall materials and building window types to obtain the building structure data; Performing regional analysis on the building number of floors, building area, building volume, building exterior wall materials and building window type information according to the building use information to obtain the corresponding building area data; Structurally associating the building area data with the building structure data to obtain an association relationship, and determining whether the association relationship meets the requirements of a preset association rule. When the requirements of the association rule are met, the building area data is successfully associated with the building structure data; When the requirements of the association rule are not met, the building area data is structurally associated with the building structure data again.

4. The method for quantifying heat load of an air source heat pump system according to claim 1, characterized in that: The mapping of the system data to the building structure data and the correlation analysis of the system data according to the building area data to obtain the corresponding area system data include: S1: Mapping the system data to the building structure data and obtaining the corresponding basic mapping relationship, performing relationship analysis on the system data according to the building use information to obtain the corresponding functional relationship; S2: performing association analysis on the building area data based on the functional relationship to obtain first association data, and mapping the system data to the building area data according to the basic mapping relationship to obtain second association data; S3: Correcting the second associated data according to the first associated data to obtain the regional system data; S4: Determine whether the regional system data meets a preset correlation analysis standard; S5: If satisfied, the regional system data generation is completed; S6: If not, return to steps S3-S4 and perform correction processing again until the standard is met.

5. The method for quantifying heat load of an air source heat pump system according to claim 1, characterized in that: The overall demand analysis of the system data is performed according to the temperature data to obtain the corresponding comprehensive heat load data, and the regional demand analysis of the comprehensive heat load data is performed based on the regional system data to obtain the corresponding regional heat load data, including: Analyzing the temperature data to obtain an indoor target temperature and an outdoor temperature, and calculating the difference between the outdoor temperature and the indoor target temperature to obtain a differential temperature; Performing a heat energy demand analysis on the system data according to the indoor target temperature to obtain a target heat energy demand, performing a heat energy demand analysis on the system data according to the outdoor temperature and the differential temperature to obtain a first heat energy maintenance demand, and performing a comprehensive analysis on the first heat energy maintenance demand and the target heat energy demand to obtain first heat energy demand data; Performing a heat energy demand analysis on the system data according to the building use information and the target heat energy demand to obtain second heat energy demand data, and performing a comprehensive analysis on the first heat energy demand data and the second heat energy demand data to obtain the comprehensive heat load data; Performing regional allocation of the regional system data according to the target heat energy demand to obtain the corresponding regional target demand; Performing regional analysis on the comprehensive heat load data according to the regional system data to obtain first regional load data; Distributing heat energy to the building area data according to the comprehensive heat load data to obtain second area load data; Based on the regional target demand and the second regional load data, the first regional load data is comprehensively analyzed and processed to obtain the corresponding regional heat load data.

6. The method for quantifying heat load of an air source heat pump system according to claim 1, characterized in that: The strategy analysis is performed based on the building area data and the heat load data to obtain a regional scheduling strategy, and all the regional scheduling strategies are comprehensively analyzed to obtain a comprehensive adjustment strategy, including: Performing a single dispatch analysis on the heat load data according to the building area data to obtain corresponding single area dispatch demand information, and obtaining a corresponding historical single dispatch strategy according to the single area dispatch demand information; Performing a strategy analysis on the single-area dispatching demand information to obtain the corresponding initial single dispatching strategy, performing strategy matching on the initial single dispatching strategy and the historical single dispatching strategy based on the initial single-area dispatching demand information, and optimizing the initial single dispatching strategy based on the successfully matched historical single dispatching strategy to obtain a revised single strategy; The modified single strategy is weighted according to the single area dispatch demand information to obtain a corresponding single weight value, and all the modified single strategies are comprehensively analyzed according to all the single weight values ​​to obtain the comprehensive adjustment strategy.

7. A heat load quantification device for an air source heat pump system, characterized in that: The method for quantifying heat load of an air source heat pump system applied to any one of claims 1 to 6 above comprises: An acquisition module, the acquisition module is used to acquire system data of the air source heat pump system, and acquire building data, temperature data and building use information of the building where the air source heat pump system is located; An analysis module, the analysis module is used to perform an overall structural analysis on the building data to obtain corresponding building structure data, and perform a regional analysis on the building data based on the building use information to obtain the building regional data; An association module, the association module is used to map the system data to the building structure data, and perform association analysis on the system data according to the building area data to obtain corresponding area system data; A processing module, the processing module is used to perform an overall demand analysis on the system data according to the temperature data to obtain corresponding comprehensive heat load data, and perform a regional demand analysis on the comprehensive heat load data based on the regional system data to obtain corresponding regional heat load data; A control module is used to perform a strategy analysis based on the building area data and the heat load data to obtain a regional scheduling strategy, and to perform a comprehensive analysis on all the regional scheduling strategies to obtain a comprehensive adjustment strategy.

8. A heat load quantification system for an air source heat pump system, characterized in that: include: Memory, used to store programs; The processor is used to execute the program to implement the various steps of the method for quantifying the heat load of an air source heat pump system 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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