Energy-saving method, system, device and storage medium for combined supply of multiple types of heat pumps

Abstract

The present application provides an energy-saving method, system, device and storage medium for the combined supply of multiple types of heat pumps, which relates to the field of building energy-saving technology. The method includes: obtaining energy consumption data and temperature data of the building, combining the energy consumption data and temperature data to determine the cooling and heating load demand and determine the switch status of the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system; judging whether the cooling and heating load demand exceeds a preset threshold value, if not, comparing the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump; when the first performance coefficient is greater than the second performance coefficient, opening the third conversion valve connected to the water source heat pump and closing the fourth conversion valve connected to the air source heat pump; when the first performance coefficient is not greater than the second performance coefficient, closing the third conversion valve and opening the fourth conversion valve. The technical effect of the present application is to improve energy utilization efficiency.

Description

Technical Field

[0001] The present application relates to the field of building energy-saving technology, and in particular to an energy-saving method, system, equipment and storage medium for combined supply of multiple types of heat pumps. Background Art

[0002] With increasingly stringent energy conservation and emission reduction requirements and the continuous increase in building energy consumption, the energy efficiency of building heating and cooling systems has become a particularly prominent issue. Traditional building energy supply systems typically rely on a single heat source, making them difficult to adapt to complex and changing climate conditions and building load demands. This leads to low energy efficiency, high operating costs, and insufficient utilization of renewable energy.

[0003] Existing technologies have employed a variety of heat pump systems to improve building energy efficiency, such as water-source heat pumps and air-source heat pumps, and have attempted to integrate renewable energy sources such as solar and geothermal energy. While this multi-source complementary energy supply approach has improved system adaptability and reliability to a certain extent, most of these systems operate in fixed modes and are unable to dynamically adjust to changing climate and load conditions, resulting in low energy efficiency. Summary of the Invention

[0004] The present application provides an energy-saving method, system, equipment and storage medium for combined supply of multiple types of heat pumps, which are used to improve energy utilization efficiency.

[0005] In the first aspect, the present application provides an energy-saving method for the combined supply of multiple types of heat pumps, the method comprising: obtaining energy consumption data sent by heat and cold meters set in various areas of a building, and temperature data sent by temperature sensors, and determining the heat and cold load demand of the building in combination with the energy consumption data and the temperature data; determining the switching status of a first conversion valve connected to a solar thermal collection system and a second conversion valve connected to a shallow geothermal buried pipe system according to the heat and cold load demand, so that the solar thermal collection system and / or the shallow geothermal buried pipe system provide energy for a water source heat pump; judging whether the heat and cold load demand exceeds a preset threshold, if the heat and cold load demand does not exceed the preset threshold, calculating the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump; comparing the first performance coefficient and the second performance coefficient, when the first performance coefficient is greater than the second performance coefficient, opening the third conversion valve connected to the water source heat pump and closing the fourth conversion valve connected to the air source heat pump; when the first performance coefficient is not greater than the second performance coefficient, closing the third conversion valve and opening the fourth conversion valve.

[0006] By implementing this technical solution and installing heating and cooling meters and temperature sensors in various areas of the building, the building's real-time energy demand can be accurately determined. Combined with the control of the switching valves in the solar thermal collection system and the shallow geothermal buried pipe system, this system achieves efficient utilization of renewable energy. Furthermore, by calculating the first coefficient of performance of the water-source heat pump and the second coefficient of performance of the air-source heat pump, and performing a real-time comparison, the system coordinates the on / off control of the third and fourth switching valves to ensure that the heat pump with the highest performance is always selected for operation, thereby improving energy efficiency.

[0007] Optionally, after determining whether the cooling and heating load demand exceeds a preset threshold, the method further includes: if the cooling and heating load demand exceeds the preset threshold, opening the third conversion valve and the fourth conversion valve.

[0008] By adopting the above technical solution, when the building's cooling and heating load demand exceeds the preset threshold, the third conversion valve and the fourth conversion valve are opened at the same time to achieve the joint operation of the water source heat pump and the air source heat pump, thereby meeting the building's high-load energy supply demand during peak energy consumption periods and improving the system's energy supply reliability.

[0009] Optionally, combining the energy consumption data and the temperature data to determine the heating and cooling load requirements of the building includes: obtaining historical energy consumption data and historical temperature data of the building within a preset period of time; establishing a heating load prediction model and a cooling load prediction model for the building according to the historical energy consumption data and the historical temperature data; substituting the energy consumption data into the heating load prediction model to obtain the heating load requirement of the building; and substituting the temperature data into the cooling load prediction model to obtain the cooling load requirement of the building.

[0010] By adopting the above technical solution, by obtaining the historical energy consumption data and historical temperature data of the building within a preset period of time, establishing a heat load prediction model and a cooling load prediction model, and substituting the real-time energy consumption data and temperature data into the corresponding models, the building's cooling and heating load requirements can be accurately predicted, which improves the system's recognition accuracy of the building's load characteristics and provides a reliable basis for the formulation of subsequent equipment control strategies.

[0011] Optionally, the switching status of the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system is determined according to the cooling and heating load requirements, including: obtaining the first outlet water temperature of the solar thermal collection system and the second outlet water temperature of the shallow geothermal buried pipe system; when the building has a heat load demand, judging whether the heat load demand exceeds the supply capacity of a single heat source; if the heat load demand exceeds the supply capacity of the single heat source, simultaneously opening the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system; if it does not exceed the supply capacity of the single heat source, comparing the first outlet water temperature and the second outlet water temperature: when the first outlet water temperature is greater than the second outlet water temperature, opening the first conversion valve and closing the second conversion valve; when the first outlet water temperature is not greater than the second outlet water temperature, closing the first conversion valve and opening the second conversion valve; when the building has a cooling load demand, closing the first conversion valve and opening the second conversion valve.

[0012] By adopting this technical solution, the first outlet water temperature of the solar thermal system and the second outlet water temperature of the shallow geothermal buried pipe system are obtained. Based on the building's heating and cooling load requirements and their comparison with the supply capacity of a single heat source, combined with the on-off control of the first and second conversion valves, intelligent coordination of the solar thermal system and the shallow geothermal buried pipe system is achieved. In heating mode, the system selects the optimal heat source combination based on the heat load requirements and outlet water temperature. In cooling mode, the shallow geothermal buried pipe system is directly used as the cooling source, thereby improving the utilization efficiency of renewable energy and reducing the system's operating energy consumption.

[0013] Optionally, if the cooling and heating load demand does not exceed the preset threshold, the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump are calculated, including: obtaining the first energy supply of the water source heat pump and the first power consumption of the water source heat pump system, wherein the first power consumption includes the water source heat pump power consumption, the water source side circulating water pump power consumption and the load side circulating water pump power consumption; combining the first energy supply and the first power consumption, calculating the first performance coefficient; obtaining the second energy supply of the air source heat pump and the second power consumption of the air source heat pump, wherein the second power consumption includes the air source heat pump power consumption and the load side circulating water pump power consumption; combining the second energy supply and the second power consumption, calculating the second performance coefficient.

[0014] By adopting the above technical solution, by respectively obtaining the first energy supply of the water source heat pump system and the complete first power consumption including the water source heat pump, the water source side circulating water pump and the load side circulating water pump, as well as the second energy supply of the air source heat pump system and the complete second power consumption including the air source heat pump and the load side circulating water pump, more accurate first performance coefficient and second performance coefficient are calculated, thereby ensuring the accuracy of the judgment basis of the system when selecting heat pump equipment and improving the energy utilization efficiency of the system operation.

[0015] Optionally, the method also includes: setting a prediction time window, and predicting the target cooling and heating load demand within a future preset time window based on weather forecast data and building usage plan; and adjusting the operating status of the solar thermal collection system, the shallow geothermal buried pipe system, the water source heat pump and the air source heat pump according to the target cooling and heating load demand.

[0016] By adopting the above technical solution, by setting a prediction time window, the target cooling and heating load demand is predicted based on weather forecast data and building usage plan, and the operating status of the solar thermal collection system, shallow geothermal buried pipe system, water source heat pump and air source heat pump are adjusted in advance, the system's predictive control is achieved, avoiding the energy supply lag or regulation overshoot that may be caused by relying solely on real-time response, thereby improving the system's regulation timeliness and operational stability.

[0017] Optionally, the method further includes: monitoring the operating status data of the water source heat pump and the air source heat pump; when it is detected that the performance coefficient of the water source heat pump or the air source heat pump drops abnormally, automatically switching to another heat pump system for operation, and issuing an equipment maintenance warning message.

[0018] By adopting the above technical solution, through real-time monitoring of the operating status data of the water source heat pump and the air source heat pump, when an abnormal drop in the performance coefficient is detected, the system is promptly switched to the other heat pump system and a maintenance warning message is issued, thereby realizing the fault warning and emergency switching functions of the system, avoiding the energy waste caused by the operation of the equipment with faults, and at the same time extending the equipment service life through timely maintenance and improving the reliability of the system operation.

[0019] In a second aspect, the present application provides an energy-saving system for combined supply of multiple types of heat pumps, the system comprising: an acquisition module, a determination module, a judgment module and a comparison module; wherein,

[0020] The acquisition module is configured to acquire energy consumption data sent from heating and cooling meters and temperature data sent from temperature sensors installed in various areas of the building, and determine the heating and cooling load demand of the building by combining the energy consumption data and the temperature data. The determination module is configured to determine, based on the heating and cooling load demand, the switching states of a first conversion valve connected to a solar thermal collection system and a second conversion valve connected to a shallow geothermal buried pipe system, so that the solar thermal collection system and / or the shallow geothermal buried pipe system provide energy for the water source heat pump. The judgment module is configured to determine whether the heating and cooling load demand exceeds a preset threshold value. If the heating and cooling load demand does not exceed the preset threshold value, the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump are calculated. The comparison module is configured to compare the first performance coefficient with the second performance coefficient. When the first performance coefficient is greater than the second performance coefficient, the third conversion valve connected to the water source heat pump is opened and the fourth conversion valve connected to the air source heat pump is closed. When the first performance coefficient is not greater than the second performance coefficient, the third conversion valve is closed and the fourth conversion valve is opened.

[0021] In a third aspect, the present application provides an electronic device that adopts the following technical solution: it includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes a computer program such as any of the above-mentioned energy-saving methods for combined supply of multiple types of heat pumps.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: storing a computer program that can be loaded by a processor and execute any of the above-mentioned energy-saving methods for combined supply of multiple types of heat pumps.

[0023] In summary, this application includes at least one of the following beneficial technical effects:

[0024] By installing heating and cooling meters and temperature sensors in various areas of the building, the building's real-time energy demand can be accurately determined. Combined with the solar thermal system and the switch valve control of the shallow geothermal buried pipe system, this system achieves efficient utilization of renewable energy. Furthermore, by calculating the first coefficient of performance of the water-source heat pump and the second coefficient of performance of the air-source heat pump, and performing a real-time comparison, the system coordinates the on / off control of the third and fourth switch valves to ensure that the heat pump with the highest performance is always selected for operation, thereby improving energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 This is a diagram showing the structure of an energy-saving and carbon-reduction system for a public building using a combination of multiple heat pumps, as provided in an embodiment of the present application;

[0026] Figure 2 This is a flow chart of an energy-saving method for combined supply of multiple types of heat pumps provided in an embodiment of the present application;

[0027] Figure 3 This is a schematic structural diagram of an energy-saving system for combined supply of multiple types of heat pumps provided in an embodiment of the present application;

[0028] Figure 4 This is a structural diagram of an electronic device provided in an embodiment of the present application.

[0029] Explanation of the reference numerals: 1. Solar collector group; 2. Solar heat meter; 3. Solar circulating water pump; 4. Solar water storage tank; 5. Circulating water pump on the heat source side of heat pump; 6. Heat meter on the heat source side of heat pump; 7. Water temperature sensor on the heat source side of heat pump; 8. Switching valve on the heat source side of heat pump; 9. Shallow geothermal buried pipe; 10. Circulating water pump on the ground source side; 11. Hot and cold meter on the ground source side; 12. Water temperature sensor on the ground source side; 13. Switching valve on the ground source side; 14. Water source heat pump; 15. Water source heat Pump hot and cold meter; 16. Water source heat pump outlet water temperature sensor; 17. Water source heat pump conversion valve; 18. Air source heat pump group; 19. Air source heat pump hot and cold meter; 20. Air source heat pump outlet water temperature sensor; 21. Air source heat pump conversion valve; 22. User hot and cold circulation water pump; 23. Building user; 1000. Electronic equipment; 1001. Processor; 1002. Communication bus; 1003. User interface; 1004. Network interface; 1005. Memory. DETAILED DESCRIPTION

[0030] In order to enable people skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0031] In the description of the embodiments of this application, words such as "exemplary," "for example," or "for example" are used to indicate examples, illustrations, or descriptions. Any embodiment or design described as "exemplary," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0032] Figure 1 This is a diagram of an energy-saving and carbon-reduction system for a public building using a combination of multiple heat pumps, as provided in an embodiment of the present application; Figure 1As shown, the figure includes a solar thermal system, a shallow geothermal system, a water-source heat pump system, an air-source heat pump system, and a user-end system. The solar thermal system includes a solar thermal collection group 1 and a solar heat meter 2. The solar thermal collection group 1 is connected to a solar water storage tank 4 via a solar circulating water pump 3. The heat pump heat source-side circulating water pump 5 and the heat meter 6 are connected to the solar water storage tank 4 via pipelines. The heat pump heat source-side water temperature sensor 7 is used to detect the water temperature in the pipeline. The heat pump heat source-side switching valve 8 is used to control whether the solar hot water enters the water-source heat pump 14.

[0033] The shallow geothermal system includes shallow geothermal buried pipes 9, connected to the system via a ground-source circulating water pump 10. A ground-source heat and cold meter 11 records geothermal energy usage, and a ground-source water temperature sensor 12 monitors the geothermal outlet water temperature in real time. A ground-source switch valve 13 controls whether geothermal water enters a water-source heat pump 14. The core component of the water-source heat pump system is the water-source heat pump 14, equipped with a water-source heat pump heat and cold meter 15 and a water-source heat pump outlet water temperature sensor 16. A water-source heat pump switch valve 17 controls whether the water-source heat pump 14 supplies energy to the user.

[0034] The air-source heat pump system primarily consists of an air-source heat pump cluster 18, equipped with an air-source heat pump heat and cooling meter 19 and an air-source heat pump outlet water temperature sensor 20. An air-source heat pump switching valve 21 controls whether the air-source heat pump supplies energy to the user. The user-side system includes user heat and cooling circulation pumps 22 and building users 23.

[0035] In specific applications, the system operates as follows: When building users 23 have a heating demand, the solar thermal collection group 1 collects solar energy and heats the water in the hot water storage tank 4. If the water temperature in the hot water storage tank 4 is higher than the water temperature on the ground source side, the heat pump heat source side conversion valve 8 is opened, the ground source side conversion valve 13 is closed, and the solar hot water is used as the heat source for the water source heat pump 14; conversely, the heat pump heat source side conversion valve 8 is closed, the ground source side conversion valve 13 is opened, and the ground water is used as the heat source. At the same time, the system compares the performance coefficients of the two heat pumps using the water source heat pump heat meter 15 and the air source heat pump heat meter 19, and selects the heat pump system with better performance for operation. When the building load demand is large, the water source heat pump conversion valve 17 and the air source heat pump conversion valve 21 can be opened simultaneously to achieve dual heat pump combined energy supply.

[0036] When building users 23 require cooling, the system closes the connection to the solar water storage tank 4 and uses only the cold source provided by the shallow geothermal buried pipes 9 to power the water-source heat pump 14, or uses the air-source heat pump group 18 for direct cooling. The system uses data from various meters and temperature sensors to calculate and compare the performance coefficients of different operating modes in real time and select the optimal operating solution. User hot and cold circulation pumps 22 ensure hydraulic balance across the entire system, ensuring stable operation.

[0037] Figure 2 This is a flow chart of an energy-saving method for combining multiple heat pumps to provide energy. Figure 2 As shown, the method includes S101-S104:

[0038] S101, obtaining energy consumption data sent by heating and cooling meters installed in various areas of the building and temperature data sent by temperature sensors, and combining the energy consumption data and temperature data to determine the heating and cooling load demand of the building.

[0039] Since the cooling and heating loads of public buildings have significant temporal and spatial distribution characteristics, there are large differences in energy demand in different areas and at different times. In order to achieve precise energy supply and efficient operation of the system, it is necessary to accurately obtain the real-time load status of each area of the building.

[0040] The system of the present invention is equipped with a solar heat meter 2, a heat pump heat source-side heat meter 6, a ground-source heat and cold meter 11, a water-source heat pump heat and cold meter 15, and an air-source heat pump heat and cold meter 19 in each building area to collect energy usage data. Furthermore, a heat pump heat source-side water temperature sensor 7, a ground-source water temperature sensor 12, a water-source heat pump outlet water temperature sensor 16, and an air-source heat pump outlet water temperature sensor 20 are provided to monitor the operating temperature of each system. The system acquires data from these heat and cold meters and temperature sensors in real time through a data acquisition device and transmits the data to the control system.

[0041] The control system first preprocesses the acquired energy usage data, including data cleaning and outlier removal. It then combines this data with temperature data to calculate the building's real-time heating and cooling load demands based on a pre-established load forecasting model. This load forecasting model, built using a machine learning algorithm and based on the building's historical operating data, uses energy usage and temperature data as input variables and outputs predicted heating and cooling loads. This allows the system to accurately assess the real-time energy usage of each area of the building, providing data support for subsequent operating mode selection and system optimization.

[0042] Based on the above embodiment, as an optional implementation, in S101, combining energy consumption data and temperature data to determine the cooling and heating load requirements of the building specifically includes S11-S14:

[0043] S11, obtaining historical energy consumption data and historical temperature data of the building within a preset time period.

[0044] Because a building's heating and cooling loads exhibit significant periodicity and regularity, an accurate load forecasting model can be established through historical data analysis and machine learning. First, the system collects historical energy usage data for a building over a complete heating and cooling cycle (typically one year) using solar heat meters 2, heat pump heat source heat meters 6, ground source heat and cooling meters 11, water source heat pump heat and cooling meters 15, and air source heat pump heat and cooling meters 19. Simultaneously, the system collects historical temperature data for the corresponding time periods using heat pump heat source water temperature sensors 7, ground source water temperature sensors 12, water source heat pump outlet water temperature sensors 16, and air source heat pump outlet water temperature sensors 20.

[0045] S12: establishing a heating load prediction model and a cooling load prediction model for the building based on the historical energy consumption data and the historical temperature data.

[0046] S13, substituting the energy consumption data into the heat load prediction model to obtain the heat load demand of the building.

[0047] S14, substituting the temperature data into the cooling load prediction model to obtain the cooling load demand of the building.

[0048] The system preprocesses the collected historical data, including data cleaning, outlier removal, and data normalization. Then, based on the processed historical energy consumption data and historical temperature data, it constructs a heating load forecasting model and a cooling load forecasting model, respectively. The heating load forecasting model primarily considers factors such as outdoor temperature, heating duration, and building usage patterns, and uses a support vector machine algorithm to establish the forecasting model. The cooling load forecasting model, on the other hand, focuses on factors such as outdoor temperature, solar radiation intensity, and building usage patterns, and uses a neural network algorithm to establish the forecasting model. In actual operation, the system inputs real-time collected energy consumption data into the heating load forecasting model to obtain the building's heating load demand forecast value; and inputs real-time collected temperature data into the cooling load forecasting model to obtain the building's cooling load demand forecast value. This dual-model-based load forecasting method can accurately predict the different characteristics of the heating and cooling seasons, improving the accuracy of the forecast.

[0049] S102, according to the cooling and heating load requirements, determine the switching status of the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system, so that the solar thermal collection system and / or the shallow geothermal buried pipe system provide energy for the water source heat pump.

[0050] Because the solar thermal collection system and the shallow geothermal buried pipe system, as the energy sources for water-source heat pump 14, have significantly different energy supply characteristics, with the energy supply from solar thermal collection group 1 being intermittent and unstable, while the energy supply from shallow geothermal buried pipes 9 is relatively stable. To fully leverage the advantages of both energy sources, the system needs to rationally control the switching states of the heat pump's heat source-side switch valve 8 (i.e., the first switch valve) and the ground source-side switch valve 13 (i.e., the second switch valve), based on real-time load demand and energy characteristics.

[0051] Specifically, the control system first obtains the outlet water temperature of the solar water storage tank 4 through the water temperature sensor 7 on the heat source side of the heat pump, and simultaneously obtains the outlet water temperature of the shallow geothermal buried pipe 9 through the water temperature sensor 12 on the ground source side.

[0052] When there is a demand for heating in the building, the control system determines whether the heating load exceeds the supply capacity of a single heat source. If so, the heat pump heat source side conversion valve 8 and the ground source side conversion valve 13 are opened at the same time, so that the solar thermal collection system and the shallow geothermal buried pipe system jointly provide heat source for the water source heat pump 14; if it does not exceed the supply capacity of a single heat source, the values of the two temperature sensors are compared. When the outlet water temperature of the solar water storage tank 4 is higher than the outlet water temperature of the shallow geothermal buried pipe 9, the heat pump heat source side conversion valve 8 is opened and the ground source side conversion valve 13 is closed. Otherwise, the heat pump heat source side conversion valve 8 is closed and the ground source side conversion valve 13 is opened.

[0053] When the building needs cooling, the system closes the heat pump's heat source-side switch valve 8 and opens the ground source-side switch valve 13, as the water temperature in the solar water storage tank 4 is too high to be used as a cooling source. Only the shallow geothermal buried pipe 9 provides cooling for the water source heat pump 14. This temperature- and load-based switch valve control strategy ensures that the water source heat pump 14 always receives energy at the optimal temperature, improving system efficiency.

[0054] Based on the above embodiment, as an optional implementation, in S102, determining the switch states of the first switching valve connected to the solar thermal collection system and the second switching valve connected to the shallow geothermal buried pipe system according to the cooling and heating load requirements specifically includes S21-S24:

[0055] S21, obtaining a first outlet water temperature of the solar thermal collection system and a second outlet water temperature of the shallow geothermal buried pipe system.

[0056] Because solar thermal systems and shallow geothermal buried pipe systems differ in their energy supply characteristics and temperature levels, appropriate selection and switching are necessary based on building load requirements and heat source temperature. First, the system uses the heat pump's heat source-side water temperature sensor 7 to obtain the outlet water temperature of the solar water storage tank 4 (i.e., the first outlet water temperature). Then, it uses the ground source-side water temperature sensor 12 to obtain the outlet water temperature of the shallow geothermal buried pipe 9 (i.e., the second outlet water temperature).

[0057] S22, when the building has a heat load demand, determine whether the heat load demand exceeds the supply capacity of a single heat source; if the heat load demand exceeds the supply capacity of a single heat source, simultaneously open the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system.

[0058] S23, if the single heat source supply capacity is not exceeded, the first water outlet temperature and the second water outlet temperature are compared: when the first water outlet temperature is greater than the second water outlet temperature, the first conversion valve is opened and the second conversion valve is closed; when the first water outlet temperature is not greater than the second water outlet temperature, the first conversion valve is closed and the second conversion valve is opened.

[0059] When building user 23 experiences a heat load demand, the control system first determines the relationship between the heat load demand and a pre-set threshold for the single heat source's supply capacity. This threshold is typically determined based on equipment parameters and historical operating experience. If the heat load demand exceeds the single heat source's supply capacity threshold, to ensure energy supply reliability, the system simultaneously opens the heat pump's heat source-side switch valve 8 (i.e., the first switch valve) and the ground source-side switch valve 13 (i.e., the second switch valve), allowing the solar thermal collection system and the shallow geothermal buried pipe system to jointly provide heat to the water source heat pump 14. If the heat load demand does not exceed the single heat source's supply capacity threshold, the system compares the first and second outlet water temperatures. If the first outlet water temperature is greater than the second outlet water temperature, indicating that the solar heat source temperature is more conducive to improving the performance coefficient of the water source heat pump 14, the heat pump's heat source-side switch valve 8 is opened and the ground source-side switch valve 13 is closed. If the first outlet water temperature is not greater than the second outlet water temperature, indicating that geothermal energy is more advantageous, the heat pump's heat source-side switch valve 8 is closed and the ground source-side switch valve 13 is opened.

[0060] S24: When the building has a cooling load demand, the first switching valve is closed and the second switching valve is opened.

[0061] When the building user 23 has a cooling load demand, since the water temperature of the solar water storage tank 4 is too high to be suitable as a cooling source, the system directly closes the heat pump heat source side conversion valve 8 and opens the ground source side conversion valve 13, and only uses the shallow geothermal buried pipe 9 with relatively stable temperature as a cooling source.

[0062] S103, determining whether the cooling and heating load demand exceeds a preset threshold; if the cooling and heating load demand does not exceed the preset threshold, calculating a first performance coefficient of the water source heat pump and a second performance coefficient of the air source heat pump.

[0063] Considering that the cooling and heating performance of the water-source heat pump 14 and the air-source heat pump 18 will vary with operating conditions, in order to achieve efficient system operation, it is necessary to select the optimal operating mode based on the real-time load conditions. First, the system determines a preset threshold based on historical operating data and equipment performance parameters. This threshold is typically set to the maximum energy supply capacity of a single heat pump. The control system obtains real-time energy consumption data from the water-source heat pump cooling and heating meter 15 and the air-source heat pump cooling and heating meter 19. When the building's cooling and heating load demand does not exceed the preset threshold, the system calculates the performance coefficients of the two heat pumps respectively. For the water-source heat pump 14, the system obtains its energy supply (measured by the water-source heat pump cooling and heating meter 15) and system power consumption. The power consumption includes the power consumption of the water-source heat pump 14 itself, the heat pump heat source side circulating water pump 5, and the user's cooling and heating circulating water pump 22. The first performance coefficient of the water-source heat pump 14 is obtained by dividing the energy supply by the total power consumption. Similarly, for air-source heat pump group 18, the system obtains its energy supply (measured by air-source heat pump cooling and heating meters 19) and system power consumption. This power consumption includes the power consumption of the air-source heat pump group 18 itself and the power consumption of the user's cooling and heating circulation water pumps 22. The energy supply is divided by the total power consumption to obtain the second performance coefficient of the air-source heat pump group 18. By calculating and comparing the performance coefficients of the two heat pumps in real time, the system can select the heat pump with the better performance, thereby achieving efficient energy utilization.

[0064] Based on the above embodiment, as an optional implementation, in S103, if the cooling and heating load demand does not exceed the preset threshold, calculating the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump specifically includes S31-S32:

[0065] S31, obtaining a first energy supply of the water source heat pump and a first power consumption of the water source heat pump system, wherein the first power consumption includes the power consumption of the water source heat pump, the power consumption of the circulating water pump on the water source side, and the power consumption of the circulating water pump on the load side; combining the first energy supply and the first power consumption, calculating a first performance coefficient.

[0066] Because the actual operating performance of the water-source heat pump 14 and the air-source heat pump group 18 depends not only on the heat pump unit but also on the energy consumption of each circulating water pump within the system, a system performance coefficient is used to evaluate overall operating efficiency. For a water-source heat pump system, the control system obtains the energy supply (i.e., the first energy supply) of the water-source heat pump 14 through the water-source heat pump hot and cold meter 15. It also collects the power consumption of the water-source heat pump 14 unit, the power consumption of the heat pump heat source-side circulating water pump 5 (i.e., the water source-side circulating water pump), and the power consumption of the user's hot and cold circulating water pump 22 (i.e., the load-side circulating water pump). These three power consumption items are added together to obtain the system's first power consumption. The first performance coefficient is calculated as the first energy supply divided by the first power consumption. This coefficient reflects the overall energy efficiency level of the water-source heat pump system, including auxiliary equipment.

[0067] S32, obtaining a second energy supply of the air source heat pump and a second power consumption of the air source heat pump, wherein the second power consumption includes the power consumption of the air source heat pump and the power consumption of the load-side circulating water pump; combining the second energy supply and the second power consumption, calculating a second performance coefficient.

[0068] For air-source heat pump systems, the control system obtains the energy supply (i.e., the second energy supply) of the air-source heat pump group 18 through the air-source heat pump hot and cold meter 19. It also collects the power consumption of the air-source heat pump group 18 and the power consumption of the user's hot and cold circulating water pump 22, and adds these two power consumptions to obtain the system's second power consumption. The second performance coefficient is calculated by dividing the second energy supply by the second power consumption. This coefficient reflects the overall energy efficiency level of the air-source heat pump system. Because the air-source heat pump system does not require a heat-source-side circulating water pump, the energy consumption of its auxiliary equipment is relatively low. This calculation method can truly reflect the combined performance of the two systems in actual operation. The system uses the calculated performance coefficient as the basis for equipment selection to ensure that the operating mode with the best energy efficiency is always selected.

[0069] S104, compare the first performance coefficient and the second performance coefficient. When the first performance coefficient is greater than the second performance coefficient, open the third conversion valve connected to the water source heat pump and close the fourth conversion valve connected to the air source heat pump; when the first performance coefficient is not greater than the second performance coefficient, close the third conversion valve and open the fourth conversion valve.

[0070] Since the operating performance of the water source heat pump 14 and the air source heat pump group 18 will be affected by many factors, such as outdoor temperature, heat source temperature, load changes, etc., in order to ensure that the system always operates in the most efficient manner, it is necessary to dynamically adjust the operating mode based on the performance coefficient calculated in real time.

[0071] After obtaining the first coefficient of performance of water-source heat pump 14 and the second coefficient of performance of air-source heat pump group 18, the control system performs a numerical comparison through a program. When the first coefficient of performance is greater than the second coefficient of performance, indicating that water-source heat pump 14 is operating more efficiently, the system opens water-source heat pump switching valve 17 (i.e., the third switching valve) and closes air-source heat pump switching valve 21 (i.e., the fourth switching valve), allowing water-source heat pump 14 to handle the building's cooling and heating loads. When the first coefficient of performance is not greater than the second coefficient of performance, indicating that air-source heat pump group 18 is operating more efficiently, the system closes water-source heat pump switching valve 17 and opens air-source heat pump switching valve 21, switching power supply to air-source heat pump group 18. The system monitors the water supply temperature in real time using water-source heat pump outlet water temperature sensors 16 and 20 to ensure a smooth switching process.

[0072] This dynamic switching strategy based on performance coefficient can give full play to the advantages of the two heat pumps under different working conditions. For example, in summer nights, due to the decrease in outdoor temperature, the cooling performance of the air source heat pump group 18 is significantly improved. At this time, switching to air source operation can achieve better energy-saving effects; in winter, when the water source temperature is relatively stable, the heating performance of the water source heat pump 14 is better, and it is more reasonable to give priority to the water source heat pump operation.

[0073] Based on the above embodiment, as an optional implementation manner, after determining whether the cooling and heating load demand exceeds the preset threshold, the method further includes: if the cooling and heating load demand exceeds the preset threshold, opening the third conversion valve and the fourth conversion valve.

[0074] Because public buildings may experience significant cooling and heating load demands during peak usage periods, the energy supply capacity of a single heat pump system may be insufficient to meet the needs of building users 23. In these situations, the water-source heat pump 14 and the air-source heat pump group 18 must operate simultaneously to ensure reliable energy supply. When the control system determines that the building's cooling and heating load demands exceed a preset threshold, it directly opens the water-source heat pump switching valve 17 (i.e., the third switching valve) and the air-source heat pump switching valve 21 (i.e., the fourth switching valve), without calculating or comparing the coefficient of performance. This allows both heat pump systems to simultaneously supply energy to building users 23. The system monitors water supply temperature using the water-source heat pump outlet water temperature sensor 16 and the air-source heat pump outlet water temperature sensor 20, and energy supply using the water-source heat pump cooling and heating meters 15 and the air-source heat pump cooling and heating meters 19. The system then adjusts the energy supply ratio of the two heat pumps based on real-time data to ensure stable system operation.

[0075] This dual-heat pump combined operation mode effectively addresses building load peaks and avoids energy shortages. Furthermore, because the load is distributed across two systems, each heat pump operates at a reasonable load factor, avoiding the inefficiency and equipment wear that can result from continuous high-load operation of a single heat pump.

[0076] Since building loads have certain inertia and hysteresis, relying solely on real-time responses may result in energy supply lag or regulation overshoot, so it is necessary to establish a predictive control strategy.

[0077] The system sets a 24-hour rolling prediction time window. Through the future weather forecast data provided by the meteorological department (including outdoor temperature, solar radiation intensity, precipitation, etc.) and the usage plan provided by the building management department (including occupancy rate, important event arrangements, etc.), combined with the established heating load prediction model and cooling load prediction model, the target heating and cooling load demand of building users 23 in the next 24 hours is predicted.

[0078] Based on the prediction results, the system adjusts the operating status of each device in advance: for the solar thermal collection system, the collection area of the solar thermal collection group 1 and the operating frequency of the solar circulating water pump 3 are adjusted according to the predicted solar radiation intensity; for the shallow geothermal buried pipe system, the flow rate of the ground source side circulating water pump 10 is adjusted according to the predicted geothermal heat extraction; for the water source heat pump 14, its start and stop time and operating frequency are adjusted in advance according to the predicted energy supply demand; for the air source heat pump group 18, the optimal operating period is selected according to the predicted outdoor temperature.

[0079] This predictive control strategy allows for proactive energy storage and equipment adjustments. For example, when peak energy demand is predicted, the system can preemptively increase the amount of energy stored in the solar water storage tank 4, or prioritize the operation of the air-source heat pump group 18 when outdoor temperatures are more favorable. Through predictive control, the system can achieve a dynamic balance between energy supply and demand, avoiding energy shortages or waste.

[0080] Based on the above embodiment, the method also includes: monitoring the operating status data of the water source heat pump and the air source heat pump; when it is detected that the performance coefficient of the water source heat pump or the air source heat pump drops abnormally, automatically switching to another heat pump system for operation and issuing an equipment maintenance warning message.

[0081] To promptly detect equipment anomalies and ensure system energy reliability, a real-time monitoring and intelligent switching mechanism is required. The system continuously monitors the operating parameters of the water-source heat pump 14 via the water-source heat pump heat meter 15 and the water-source heat pump outlet temperature sensor 16. It also continuously monitors the operating parameters of the air-source heat pump group 18 via the air-source heat pump heat meter 19 and the air-source heat pump outlet temperature sensor 20. The control system calculates the coefficient of performance of both heat pumps in real time and compares it with a pre-set standard coefficient of performance.

[0082] When the first performance coefficient of water-source heat pump 14 drops abnormally (by more than 20% of the standard value), the system immediately closes water-source heat pump switching valve 17 and simultaneously opens air-source heat pump switching valve 21, switching the energy supply task to air-source heat pump group 18. When the second performance coefficient of air-source heat pump group 18 drops abnormally, the system closes air-source heat pump switching valve 21 and simultaneously opens water-source heat pump switching valve 17, switching the energy supply task to water-source heat pump 14. While performing the switching operation, the system automatically generates equipment maintenance warning information, including the time of the abnormality occurrence, the degree of performance degradation, and operating parameter analysis, and transmits it to the building management system and maintenance personnel terminal via a preset communication interface. This automatic switching and warning mechanism based on performance monitoring can minimize the impact of equipment failures on system operation and ensure that the energy demand of building users 23 is not disturbed.

[0083] Based on the above method, the present application also discloses an energy-saving system for combining multiple types of heat pumps, such as Figure 3 As shown, Figure 3 This is a structural diagram of an energy-saving system for a combination of multiple heat pumps provided in an embodiment of the present application. The system includes: an acquisition module, a determination module, a judgment module, and a comparison module; wherein,

[0084] An acquisition module is used to acquire energy consumption data sent by heat and cold meters installed in various areas of the building, and temperature data sent by temperature sensors, and determine the heat and cold load demand of the building in combination with the energy consumption data and temperature data; a determination module is used to determine the switching status of a first conversion valve connected to the solar thermal collection system and a second conversion valve connected to the shallow geothermal buried pipe system according to the heat and cold load demand, so that the solar thermal collection system and / or the shallow geothermal buried pipe system provide energy for the water source heat pump; a judgment module is used to judge whether the heat and cold load demand exceeds a preset threshold value. If the heat and cold load demand does not exceed the preset threshold value, the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump are calculated; a comparison module is used to compare the first performance coefficient and the second performance coefficient. When the first performance coefficient is greater than the second performance coefficient, the third conversion valve connected to the water source heat pump is opened and the fourth conversion valve connected to the air source heat pump is closed; when the first performance coefficient is not greater than the second performance coefficient, the third conversion valve is closed and the fourth conversion valve is opened.

[0085] It should be noted that the above embodiments provide systems that implement their functions using only the division of the above functional modules as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the system and method embodiments provided in the above embodiments are based on the same concept. The specific implementation process is detailed in the method embodiment and will not be repeated here.

[0086] See Figure 4 , is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 4 As shown, the electronic device 1000 may include: at least one processor 1001 , at least one network interface 1004 , a user interface 1003 , a memory 1005 , and at least one communication bus 1002 .

[0087] The communication bus 1002 is used to implement the connection and communication between these components.

[0088] The user interface 1003 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 1003 may also include a standard wired interface and a wireless interface.

[0089] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0090] Processor 1001 may include one or more processing cores. Using various interfaces and circuits, processor 1001 connects to various components within the server. It executes instructions, programs, code sets, or instruction sets stored in memory 1005, as well as accesses data stored in memory 1005, to perform various server functions and process data. Optionally, processor 1001 may be implemented using at least one of the following hardware forms: a digital signal processing (DSP), a field-programmable gate array (FPGA), or a programmable logic array (PLA). Processor 1001 may integrate one or a combination of a central processing unit (CPU), a graphics processing unit (GPU), and a modem. The CPU primarily processes the operating system, user interface, and application programs; the GPU is responsible for rendering and drawing content displayed on the display; and the modem handles wireless communications. It is understood that the modem may not be integrated into processor 1001 but implemented as a separate chip.

[0091] Among them, the memory 1005 may include a random access memory (RAM) or a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally be at least one storage device located away from the aforementioned processor 1001. As Figure 4 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an application program for an energy-saving method for combined supply of multiple types of heat pumps.

[0092] exist Figure 4In the electronic device 1000 shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain data input by the user; and the processor 1001 can be used to call an application program stored in the memory 1005 for an energy-saving method for combined supply of multiple types of heat pumps. When executed by one or more processors, the electronic device executes one or more methods described in the above embodiments.

[0093] An electronic device readable storage medium stores instructions, which, when executed by one or more processors, enable the electronic device to execute one or more of the methods described in the above embodiments.

[0094] It should be noted that for the aforementioned method embodiments, for simplicity of description, they are all expressed as a series of action combinations, but those skilled in the art should be aware that this application is not limited by the order of the actions described, because according to this application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for this application.

[0095] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] In the several embodiments provided in this application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of the devices or units can be electrical or other forms.

[0097] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0098] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0099] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of this application, or the portion that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the method described in each embodiment of this application. The aforementioned memory includes various media that can store program code, such as USB flash drives, mobile hard drives, magnetic disks, or optical disks.

[0100] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure herein, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not recorded in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. An energy-saving method for combining multiple heat pumps, characterized in that: The method comprises: Obtaining energy usage data sent by heating and cooling meters installed in various areas of a building, and temperature data sent by temperature sensors, and combining the energy usage data and the temperature data to determine the heating and cooling load requirements of the building; the method includes: obtaining historical energy usage data and historical temperature data of the building within a preset time period; establishing a heating load prediction model and a cooling load prediction model for the building based on the historical energy usage data and the historical temperature data; substituting the energy usage data into the heating load prediction model to obtain the heating load requirement of the building; and substituting the temperature data into the cooling load prediction model to obtain the cooling load requirement of the building; According to the cooling and heating load requirements, determining the switch states of a first conversion valve connected to the solar thermal collection system and a second conversion valve connected to the shallow geothermal buried pipe system, including: obtaining a first outlet water temperature of the solar thermal collection system and a second outlet water temperature of the shallow geothermal buried pipe system; when the building has a heat load demand, determining whether the heat load demand exceeds the supply capacity of a single heat source; if the heat load demand exceeds the supply capacity of the single heat source, simultaneously opening the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system; if the heat load demand does not exceed the supply capacity of the single heat source, comparing the first outlet water temperature and the second outlet water temperature: when the first outlet water temperature is greater than the second outlet water temperature, opening the first conversion valve and closing the second conversion valve; when the first outlet water temperature is not greater than the second outlet water temperature, closing the first conversion valve and opening the second conversion valve; when the building has a cooling load demand, closing the first conversion valve and opening the second conversion valve, so that the solar thermal collection system and / or the shallow geothermal buried pipe system provide energy for the water source heat pump; Determine whether the cooling and heating load demand exceeds a preset threshold value. If the cooling and heating load demand does not exceed the preset threshold value, calculate the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump; including: obtaining the first energy supply of the water source heat pump and the first power consumption of the water source heat pump system, wherein the first power consumption includes the water source heat pump power consumption, the water source side circulating water pump power consumption and the load side circulating water pump power consumption; combining the first energy supply and the first power consumption, calculate the first performance coefficient; obtain the second energy supply of the air source heat pump and the second power consumption of the air source heat pump system, wherein the second power consumption includes the air source heat pump power consumption and the load side circulating water pump power consumption; combining the second energy supply and the second power consumption, calculate the second performance coefficient; Comparing the first performance coefficient and the second performance coefficient, when the first performance coefficient is greater than the second performance coefficient, opening the third conversion valve connected to the water source heat pump and closing the fourth conversion valve connected to the air source heat pump; when the first performance coefficient is not greater than the second performance coefficient, closing the third conversion valve and opening the fourth conversion valve; By using future weather forecast data provided by the meteorological department and the usage plan provided by the building management department, combined with the established heating load prediction model and cooling load prediction model, the target heating and cooling load demands of future building users are predicted; based on the prediction results, the operating status of each equipment is adjusted in advance.

2. The energy-saving method for combined supply of multiple types of heat pumps according to claim 1, characterized in that: After determining whether the cooling and heating load demand exceeds a preset threshold, the method further includes: if the cooling and heating load demand exceeds the preset threshold, opening the third conversion valve and the fourth conversion valve.

3. The energy-saving method for combined supply of multiple types of heat pumps according to claim 1, characterized in that: The method also includes: setting a prediction time window, and predicting the target cooling and heating load demand within a future preset time window based on weather forecast data and building usage plan; and adjusting the operating states of the solar thermal collection system, the shallow geothermal buried pipe system, the water source heat pump, and the air source heat pump according to the target cooling and heating load demand.

4. The energy-saving method for combined supply of multiple types of heat pumps according to claim 1, characterized in that: The method also includes: monitoring the operating status data of the water source heat pump and the air source heat pump; when it is detected that the performance coefficient of the water source heat pump or the air source heat pump has dropped abnormally, automatically switching to another heat pump system for operation and issuing an equipment maintenance warning message.

5. An energy-saving system with multiple types of heat pumps combined, characterized in that: The system includes: an acquisition module, a determination module, a judgment module, and a comparison module; wherein the acquisition module is used to acquire energy usage data sent by heating and cooling meters installed in various areas of the building, and temperature data sent by temperature sensors, and determine the heating and cooling load requirements of the building by combining the energy usage data and the temperature data; the system includes: acquiring historical energy usage data and historical temperature data of the building within a preset time period; establishing a heating load prediction model and a cooling load prediction model for the building based on the historical energy usage data and the historical temperature data; substituting the energy usage data into the heating load prediction model to obtain the heating load requirement of the building; substituting the temperature data into the cooling load prediction model to obtain the cooling load requirement of the building; The determination module is used to determine the switch states of the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system according to the cooling and heating load demand, including: obtaining the first outlet water temperature of the solar thermal collection system and the second outlet water temperature of the shallow geothermal buried pipe system; when the building has a heat load demand, judging whether the heat load demand exceeds the supply capacity of a single heat source; if the heat load demand exceeds the supply capacity of the single heat source, simultaneously opening the first conversion valve connected to the solar thermal collection system and the second conversion valve connected to the shallow geothermal buried pipe system; if it does not exceed the supply capacity of the single heat source, comparing the first outlet water temperature and the second outlet water temperature: when the first outlet water temperature is greater than the second outlet water temperature, the first outlet water temperature is lowered to zero. When the outlet water temperature is lower than the second outlet water temperature, the first conversion valve is opened and the second conversion valve is closed; when the first outlet water temperature is not higher than the second outlet water temperature, the first conversion valve is closed and the second conversion valve is opened; when the building has a cooling load demand, the first conversion valve is closed and the second conversion valve is opened; so that the solar thermal collection system and / or the shallow geothermal buried pipe system provide energy for the water source heat pump; the judgment module is used to judge whether the cooling and heating load demand exceeds the preset threshold value, and if the cooling and heating load demand does not exceed the preset threshold value, the first performance coefficient of the water source heat pump and the second performance coefficient of the air source heat pump are calculated; including: obtaining the first energy supply of the water source heat pump and the first power consumption of the water source heat pump system, wherein , the first power consumption includes the power consumption of the water source heat pump, the power consumption of the water source side circulating water pump and the power consumption of the load side circulating water pump; combining the first energy supply and the first power consumption, calculating the first performance coefficient; obtaining the second energy supply of the air source heat pump and the second power consumption of the air source heat pump system, wherein the second power consumption includes the power consumption of the air source heat pump and the power consumption of the load side circulating water pump; combining the second energy supply and the second power consumption, calculating the second performance coefficient; the comparison module is used to compare the first performance coefficient and the second performance coefficient, and when the first performance coefficient is greater than the second performance coefficient, open the third conversion valve connected to the water source heat pump and close the fourth conversion valve connected to the air source heat pump;When the first performance coefficient is not greater than the second performance coefficient, closing the third conversion valve and opening the fourth conversion valve; By using future weather forecast data provided by the meteorological department and the usage plan provided by the building management department, combined with the established heating load prediction model and cooling load prediction model, the target heating and cooling load demands of future building users are predicted; based on the prediction results, the operating status of each equipment is adjusted in advance.

6. An electronic device, characterized in that: It includes a processor, a memory, a user interface and a network interface, the memory is used to store instructions, the user interface and the network interface are used to communicate with other devices, and the processor is used to execute the instructions stored in the memory so that the electronic device executes the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that A computer program is stored which can be loaded by a processor and execute the method according to any one of claims 1 to 4.

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