Air source heat pump control method and system based on deep learning

Abstract

The present application relates to the technical field of solar heat pump, especially to an air source heat pump control method and system based on deep learning. The method comprises the following steps: S1: obtaining the liquid working medium temperature of the solar heat storage tank through a temperature sensor, and obtaining the solar radiation intensity through a sensor, and judging the auxiliary management of the air source heat pump according to the liquid working medium temperature of the solar heat storage tank and the solar radiation intensity; S2: obtaining the related data of the solar heat storage tank, and obtaining an adjustment value using an adjustment processing formula according to the related data, and using the air source heat pump to heat the liquid working medium in the solar heat storage tank according to the adjustment value. The present application combines the advantages of solar photothermal system and air source heat pump, ensures stable heating under various environmental conditions, and heats the liquid working medium in the heat storage tank according to the parameter adjustment formula to prevent the breeding of pathogenic microorganisms.

Description

Technical Field

[0001] This invention relates to the field of solar heat pump technology, and in particular to a deep learning-based air source heat pump control method and system. Background Technology

[0002] With the rapid development of renewable energy technologies, solar thermal systems and air source heat pumps are increasingly widely used in the heating field. Solar thermal systems utilize solar radiation to heat the liquid working fluid in a storage tank, meeting the needs of building heating and domestic hot water supply. Air source heat pumps utilize low-grade heat energy in the air, providing users with efficient heat output through heat pump circulation. Both technologies have advantages such as energy saving, environmental protection, and low operating costs, and are widely used in homes, schools, hotels, and hospitals. However, in practical applications, the combination of solar thermal systems and air source heat pumps still faces many technical challenges. For example, solar thermal systems are affected by weather conditions and... The significant impact of sunlight conditions leads to large fluctuations in heating efficiency. When radiation intensity is insufficient or during nighttime operation, heating capacity decreases significantly, making it impossible to continuously provide users with stable hot water. In scenarios like hospitals where hot water quality requirements are extremely high, the liquid working fluid in the heat storage tank is prone to bacterial growth such as Legionella if it operates at low temperatures for extended periods, posing a health hazard and a threat to the health of patients and medical staff. There is an urgent need for an intelligent control method that combines solar thermal systems with air source heat pumps, which can effectively improve the stability and hygiene safety of the heating system, significantly optimize energy utilization efficiency, and meet the high standards required by special scenarios such as hospitals. Summary of the Invention

[0003] To overcome the drawbacks of unstable solar heating and potential hygiene and safety hazards when used in special scenarios, this invention provides a deep learning-based air source heat pump control method and system.

[0004] The technical solution of this invention is: a deep learning-based air source heat pump control method, comprising the following steps:

[0005] S1: The temperature of the liquid working fluid in the solar thermal storage tank is obtained through a temperature sensor, and the solar radiation intensity is obtained through a sensor. Based on the temperature of the liquid working fluid in the solar thermal storage tank and the solar radiation intensity, the auxiliary management of the air source heat pump is determined.

[0006] S2: Obtain relevant data of the solar thermal storage tank, and obtain an adjustment value using an adjustment processing formula based on the relevant data, and use an air source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value.

[0007] Preferably, the step of obtaining the temperature of the liquid working fluid in the solar thermal storage tank through a temperature sensor and obtaining the solar radiation intensity through a sensor, and judging the auxiliary management of the air source heat pump based on the temperature of the liquid working fluid in the solar thermal storage tank and the solar radiation intensity, includes: when the solar radiation intensity is greater than or equal to a first preset threshold, using a solar thermal system to heat the liquid working fluid of the solar thermal system and then storing it in the solar thermal storage tank, using a heat exchanger to exchange heat between the liquid working fluid in the solar thermal storage tank and the return water of the heating system, and controlling the flow into the manifold tank for heating through a three-way valve of the primary heating system;

[0008] When the solar radiation intensity is less than the first preset threshold, after judging the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating.

[0009] Preferably, the step of controlling the flow of water into the manifold tank through a three-way valve of the primary heating system for heating includes: flowing the circulating water of the heating system into the manifold tank to regulate and balance the system water pressure, adjusting the flow rate and water temperature of the circulating water to obtain adjusted hot water, and supplying heat to the heat users according to the adjusted hot water.

[0010] Preferably, when the solar radiation intensity is less than a first preset threshold, after determining the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating, which includes: the solar thermal system and the air source heat pump are coupled through a heat exchanger, wherein the liquid working fluid in the solar thermal storage tank and the liquid working fluid in the air source heat pump are not in direct contact; the heat exchanger is a liquid-liquid heat exchanger.

[0011] Preferably, when the solar radiation intensity is less than a first preset threshold, after determining the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, the use of an air source heat pump for auxiliary heating includes:

[0012] When the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system, the water flows into the manifold tank for heating after the heating system is adjusted through the first mode or the second mode.

[0013] When the temperature of the liquid working fluid in the solar thermal storage tank is lower than the temperature of the return water in the heating system, the return water of the heating system does not exchange heat with the liquid working fluid in the solar thermal storage tank. Instead, it exchanges heat with the air source heat pump through the return water three-way valve of the heating system before flowing into the manifold for heating.

[0014] Preferably, when the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system, the heating system is adjusted through the first mode or the second mode and then flows into the manifold for heating, including: the first mode is to use a solar thermal collector to heat the liquid working fluid of the solar thermal system and then put it into the solar thermal storage tank, exchange heat between the liquid working fluid in the solar thermal storage tank and the return water of the heating system using a heat exchanger, then use an air source heat pump for secondary heating, and finally flow into the manifold for heating;

[0015] The second mode involves heating the liquid working fluid of the solar thermal system using a solar collector and then placing it into a solar storage tank. The liquid working fluid in the solar storage tank is then exchanged with the return water of the heating system using a heat exchanger. The return water of the heating system is then divided into return water to be heated and return water to be waited for. The return water to be heated is then reheated by a three-way valve of the primary heating system and an air source heat pump to become secondary heated return water, which flows into a manifold. The return water to be waited for flows directly into the manifold through a three-way valve of the primary heating system. The secondary heated return water and the return water to be waited for are then mixed and used for heating.

[0016] Preferably, the step of acquiring relevant data of the solar thermal storage tank, obtaining an adjustment value using an adjustment processing formula based on the relevant data, and using an air source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value includes: the relevant data includes the temperature of the liquid working fluid in the solar thermal storage tank and the corresponding number of days, the standard preset heating cycle number of days, the microbial content or impurity content and the standard microbial content or impurity content; obtaining an adjustment value using an adjustment processing formula based on the relevant data; and when the adjustment value is greater than or equal to a second preset threshold, using an air source heat pump to heat the liquid working fluid in the solar thermal storage tank, wherein the adjustment processing formula is:

[0017] ;

[0018] In the formula, For adjustment value; For parameter weights; The number of days that the liquid working fluid in the solar thermal storage tank has not reached the preset temperature; The standard is preset with a heating cycle of several days; Adjust the parameter value; The content of microorganisms or impurities in the solar thermal storage tank; The standard microbial content or impurity content in the solar thermal storage tank; To adjust the parameters.

[0019] Preferably, the parameter adjustment formula includes: obtaining the real-time electricity cost when using the air source heat pump, the average electricity cost within a preset time period, and the usage data of the first mode and the second mode within a preset time period, and inputting the relevant data, the real-time electricity cost when using the air source heat pump, the average electricity cost within a preset time period, and the usage data of the first mode and the second mode within a preset time period into the parameter adjustment formula.

[0020] Preferably, the parameter adjustment value includes: obtaining the parameter adjustment value using a parameter adjustment formula, wherein the parameter adjustment formula is:

[0021] ;

[0022] In the formula, Adjust the parameter value; The temperature at which the liquid working fluid in the solar thermal storage tank has not reached the preset temperature; Preset temperature; The average electricity cost over a preset time period; Real-time electricity cost when using an air source heat pump; This refers to the number of times the first mode is used within a preset time period; The number of times the second mode is used within a preset time period; To adjust the parameters.

[0023] Preferably, a deep learning-based air source heat pump control system includes:

[0024] The data collection module is used to acquire relevant data of the solar thermal storage tank, including the temperature of the liquid working fluid and the intensity of solar radiation.

[0025] The first judgment module is used to judge the relationship between solar radiation intensity and a first preset threshold, and decide whether to use an air source heat pump for auxiliary management based on the judgment result.

[0026] The second judgment module is used to determine the relationship between the liquid working fluid temperature of the solar thermal storage tank and the return water temperature of the heating system, and decide whether to use the solar thermal system for management based on the judgment result.

[0027] The mode selection module is used to select either the first mode or the second mode when the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system.

[0028] The adjustment processing module is used to obtain an adjustment value using an adjustment processing formula based on the relevant data, and to use an air source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value.

[0029] The beneficial effects of this invention are as follows:

[0030] 1. This invention combines the advantages of solar thermal systems and air source heat pumps, and uses real-time data acquisition and intelligent analysis to achieve dynamic switching of heating modes. When the solar radiation intensity is high, only the solar thermal system is used for heating to save electricity; when the solar radiation intensity is insufficient, the air source heat pump is activated for temperature compensation, thereby ensuring that the system can provide stable heating under various environmental conditions.

[0031] 2. This system has a built-in high-temperature sterilization function, which dynamically heats the liquid working fluid in the heat storage tank to a temperature above the preset temperature according to the adjusted processing formula, fundamentally eliminating the growth of pathogenic microorganisms such as Legionella, and meeting the sanitary requirements of hot water in special scenarios such as hospitals.

[0032] 3. Two heating modes are provided, and the optimal path is selected based on the comparison between the liquid working fluid temperature in the solar thermal storage tank and the return water temperature of the heating system, thereby improving the overall energy efficiency of the system;

[0033] 4. Through real-time data monitoring and status feedback, the system can issue timely alarms when the temperature of the liquid working fluid is too low or the water quality does not meet the standards, ensuring the safe operation of the system. The heat exchanger adopts a liquid-liquid heat exchange method to ensure that the liquid working fluid of the solar thermal storage tank and the air source heat pump does not come into direct contact, thus avoiding cross-contamination. Attached Figure Description

[0034] Figure 1 This is a flowchart of a deep learning-based air source heat pump control method according to the present invention.

[0035] Figure 2 This is a schematic diagram of an air source heat pump control system based on deep learning according to the present invention. Detailed Implementation

[0036] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0037] Example 1: A deep learning-based air source heat pump control method, such as... Figure 1 As shown, it includes the following steps:

[0038] S1: The temperature of the liquid working fluid in the solar thermal storage tank is obtained through a temperature sensor, and the solar radiation intensity is obtained through a sensor. Based on the temperature of the liquid working fluid in the solar thermal storage tank and the solar radiation intensity, the auxiliary management of the air source heat pump is determined.

[0039] When the solar radiation intensity is greater than or equal to the first preset threshold, the liquid working fluid of the solar thermal system is heated by the solar thermal system and stored in the solar thermal storage tank. The liquid working fluid in the solar thermal storage tank is exchanged with the return water of the heating system by a heat exchanger, and the water flows into the manifold tank for heating by controlling the flow through the three-way valve of the primary heating system.

[0040] When the solar radiation intensity is less than the first preset threshold, after judging the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating.

[0041] It should be explained that when the solar radiation intensity is high, such as 500W / m², 2 In the above scenario, the solar thermal system, operating independently, can meet the building's heat requirements. In this case, the liquid working fluid of the solar thermal system, after being heated by the solar collector, first enters the solar storage tank. Then, it exchanges heat with the return water of the heating system through a heat exchanger. After the return water is heated, it flows directly into the manifold tank through a three-way valve controlled by the primary heating system, and is then delivered to the heat users for heating or domestic hot water. When the solar radiation intensity is low, for example, 500W / m², the system can provide additional heat. 2 The following points illustrate that a solar thermal system operating independently cannot meet the building's heating needs, requiring an air source heat pump for auxiliary heating management. Solar thermal systems utilize trough, tower, or Fresnel collector systems to absorb solar energy, convert it into heat energy, and transfer it to the heat-consuming terminals via a liquid working fluid. The liquid working fluid in a solar thermal system can be water, antifreeze, or heat transfer oil, serving functions of heat absorption, heat transfer, and heat release. The system is equipped with a solar thermal storage tank. After absorbing heat at the solar collector, the liquid working fluid stores the heat in the storage tank. The storage tank's function is to store heat, regulate and balance system water pressure; that is, to store excess heat energy when solar energy is abundant and release it during peak demand or when solar energy is insufficient, ensuring the continuity and stability of the heating system. The capacity of the solar thermal storage tank is determined based on the collector system and heating demand, generally selected as 0.5-2 times the peak heat collection capacity of the collector system.

[0042] The water pressure is regulated and balanced by circulating water from the heating system into the manifold. The flow rate and temperature of the circulating water are adjusted to obtain the adjusted hot water, which is then used to supply heat to users.

[0043] It should be explained that the regulating device inside the manifold dynamically balances the flow rate and water pressure of the circulating water to avoid uneven distribution of hot water due to excessive pressure difference within the system. The manifold is equipped with a temperature regulation module that monitors the water temperature in the tank in real time through a thermal sensor and dynamically adjusts the inflow and outflow rates of the circulating water according to the target heating temperature to ensure that the output hot water temperature meets the user's needs. The circulating water, after pressure and temperature regulation, serves as the adjusted hot water supply and is distributed to the heat users through the heating network to meet their heating or domestic hot water needs.

[0044] The solar thermal system is coupled to the air source heat pump through a heat exchanger, wherein the liquid working fluid of the solar thermal storage tank and the liquid working fluid of the air source heat pump do not come into direct contact; the heat exchanger is a liquid-liquid heat exchanger.

[0045] It should be explained that the heat exchanger should be a liquid-liquid heat exchanger with a heat exchange efficiency of over 75% to ensure the heat exchange effect and avoid cross-contamination. The air source heat pump serves as an auxiliary heat source for the solar thermal system, prioritizing the use of heat from the solar thermal system. When the solar thermal system's heat supply is insufficient, the air source heat pump is activated to provide supplementary heating.

[0046] When the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system, the water flows into the manifold tank for heating after the heating system is adjusted through the first mode or the second mode.

[0047] When the temperature of the liquid working fluid in the solar thermal storage tank is lower than the temperature of the return water in the heating system, the return water of the heating system does not exchange heat with the liquid working fluid in the solar thermal storage tank. Instead, it exchanges heat with the air source heat pump through the return water three-way valve of the heating system before flowing into the manifold for heating.

[0048] It should be explained that when the solar radiation intensity is low, 500W / m 2 The following describes the relationship between the liquid working fluid temperature of the solar thermal storage tank and the return water temperature of the heating system. When the liquid working fluid temperature of the solar thermal storage tank is greater than or equal to the return water temperature of the heating system, there are two operating modes: the first mode and the second mode. Through these two operating modes, the solar thermal system and the air source heat pump can be used simultaneously for synergistic processing, which can reduce the energy consumption of the air source heat pump while enhancing the versatility and stability of the system.

[0049] The first mode is to use a solar thermal collector to heat the liquid working fluid of the solar thermal system and then put it into a solar thermal storage tank. The liquid working fluid in the solar thermal storage tank is then exchanged with the return water of the heating system using a heat exchanger. After that, an air source heat pump is used for secondary heating, and finally the liquid flows into the manifold for heating.

[0050] The second mode involves heating the liquid working fluid of the solar thermal system using a solar collector and then placing it into a solar storage tank. The liquid working fluid in the solar storage tank is then exchanged with the return water of the heating system using a heat exchanger. The return water of the heating system is then divided into return water to be heated and return water to be waited for. The return water to be heated is then reheated by a three-way valve of the primary heating system and an air source heat pump to become secondary heated return water, which flows into a manifold. The return water to be waited for flows directly into the manifold through a three-way valve of the primary heating system. The secondary heated return water and the return water to be waited for are then mixed and used for heating.

[0051] It should be explained that in the first mode, the system uses a solar thermal collector to heat and store the liquid working fluid in the solar thermal system in a solar storage tank. The liquid working fluid in the solar storage tank exchanges heat with the return water of the heating system through a heat exchanger, transferring the heat to the return water. The returned water is then reheated by an air source heat pump to reach the target temperature required by the user. Finally, the reheated hot water flows into the manifold tank and is delivered to the user through the pipeline network for heating. In the second mode, the return water to be heated is introduced into the air source heat pump for secondary heating through a three-way valve of the primary heating system, while the water waiting to be heated flows directly into the manifold tank through the three-way valve of the primary heating system. When selecting between the first and second modes, the system can analyze the real-time heat demand of the heating system and the temperature of the solar storage tank using a deep learning algorithm to automatically select either mode. In the example of this embodiment, when the temperature of the solar storage tank is high and the heat demand is stable, the first mode is selected first; when the heat demand fluctuates greatly, the second mode is selected to improve the dynamic response capability of the system.

[0052] S2: Obtain relevant data of the solar thermal storage tank, and obtain an adjustment value using an adjustment processing formula based on the relevant data, and use an air source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value.

[0053] The relevant data includes the temperature of the liquid working fluid in the solar thermal storage tank and the corresponding number of days, the standard preset heating cycle number of days, the microbial content or impurity content, and the standard microbial content or impurity content. An adjustment value is obtained using an adjustment formula based on the relevant data. When the adjustment value is greater than or equal to a second preset threshold, an air source heat pump is used to heat the liquid working fluid in the solar thermal storage tank. The adjustment formula is as follows:

[0054] ;

[0055] In the formula, For adjustment value; For parameter weights; The number of days that the liquid working fluid in the solar thermal storage tank has not reached the preset temperature; The standard is preset with a heating cycle of several days; Adjust the parameter value; The content of microorganisms or impurities in the solar thermal storage tank; The standard microbial content or impurity content in the solar thermal storage tank; To adjust the parameters.

[0056] It should be explained that the following relevant data are acquired in real time through sensors: the temperature of the liquid working fluid in the solar thermal storage tank and the corresponding number of days, the number of days in the standard preset heating cycle, the microbial content or impurity content, and the standard microbial content or impurity content; where This reflects the impact of the number of days the liquid working fluid in the solar thermal storage tank has not reached the preset temperature on the adjustment value; This reflects the degree to which the content of microorganisms or impurities in the liquid working fluid of the solar thermal storage tank deviates from the standard value; the system compares the calculated adjustment value with the second preset threshold: when When the temperature is greater than or equal to the second preset threshold, the system activates the air source heat pump to heat the liquid working fluid; when When the value is less than the second preset threshold, the system maintains its current state and waits for subsequent data updates. The second preset threshold is a value that can distinguish the degree of adjustment after the experiment.

[0057] The system acquires real-time electricity costs, average electricity costs within a preset time period, and usage data for the first mode and the second mode within a preset time period. Based on this data, the system inputs these data into the parameter adjustment formula.

[0058] The parameter adjustment value is obtained using the parameter adjustment formula, where the parameter adjustment formula is:

[0059] ;

[0060] In the formula, Adjust the parameter value; The temperature at which the liquid working fluid in the solar thermal storage tank has not reached the preset temperature; Preset temperature; The average electricity cost over a preset time period; Real-time electricity cost when using an air source heat pump; This refers to the number of times the first mode is used within a preset time period; The number of times the second mode is used within a preset time period; To adjust the parameters.

[0061] It needs to be explained that, To record the real-time electricity price when using air source heat pumps, and to reflect the current economic cost of using air source heat pumps; To calculate the average electricity price within a preset time period based on historical data, and to assess the degree of deviation of the current real-time electricity price; To count the number of times the air source heat pump operates in the first mode within a preset time period, reflecting the usage frequency of this mode; To statistically analyze the number of times the air source heat pump operates in the second mode within a preset time period and to measure the usage ratio of the two modes; where, It reflects the degree of deviation between the current temperature of the liquid working fluid in the solar thermal storage tank and the preset temperature; To compare real-time electricity costs with average electricity costs, if the real-time electricity cost is lower than the average and deviates by more than the parameter... This item has a more significant impact on the adjustment value, encouraging the activation of heat pumps when electricity prices are low; To measure the usage ratio of the first mode versus the second mode, this item contributes more to the adjustment value when the first mode is run more often, thus encouraging the priority use of the low-energy-consumption mode.

[0062] Example 2: Based on Example 1, such as Figure 2 As shown, a deep learning-based air source heat pump control system includes:

[0063] The data collection module is used to acquire relevant data of the solar thermal storage tank, including the temperature of the liquid working fluid and the intensity of solar radiation.

[0064] The first judgment module is used to judge the relationship between solar radiation intensity and a first preset threshold, and decide whether to use an air source heat pump for auxiliary management based on the judgment result.

[0065] The second judgment module is used to determine the relationship between the liquid working fluid temperature of the solar thermal storage tank and the return water temperature of the heating system, and decide whether to use the solar thermal system for management based on the judgment result.

[0066] The mode selection module is used to select either the first mode or the second mode when the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system.

[0067] The adjustment processing module is used to obtain an adjustment value using an adjustment processing formula based on the relevant data, and to use an air source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value.

[0068] It should be understood that the above description is for illustrative purposes only and is not intended to limit the invention. Those skilled in the art will understand that variations of the invention are included within the scope of the claims herein.

Claims

1. A deep learning-based air source heat pump control method, characterized in that, Includes the following steps: S1: The temperature of the liquid working fluid in the solar thermal storage tank is obtained through a temperature sensor, and the solar radiation intensity is obtained through a sensor. Based on the temperature of the liquid working fluid in the solar thermal storage tank and the solar radiation intensity, the auxiliary management of the air source heat pump is judged, including: when the solar radiation intensity is greater than or equal to a first preset threshold, the liquid working fluid of the solar thermal system is heated by the solar thermal system and stored in the solar thermal storage tank, the liquid working fluid in the solar thermal storage tank is exchanged with the return water of the heating system by a heat exchanger, and the flow into the manifold is controlled by the three-way valve of the primary heating system for heating. When the solar radiation intensity is less than the first preset threshold, after judging the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating. S2: Obtain relevant data from the solar thermal storage tank, and use an adjustment formula to obtain an adjustment value based on the relevant data. Then, use an air-source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value. This includes: the relevant data includes the temperature of the liquid working fluid in the solar thermal storage tank and the corresponding number of days, the standard preset heating cycle number of days, the microbial content or impurity content, and the standard microbial content or impurity content. The adjustment value is obtained using an adjustment formula based on the relevant data. When the adjustment value is greater than or equal to a second preset threshold, the air-source heat pump is used to heat the liquid working fluid in the solar thermal storage tank. The adjustment formula is: ； In the formula, For adjustment value; For parameter weights; The number of days that the liquid working fluid in the solar thermal storage tank has not reached the preset temperature; The standard is preset with a heating cycle of several days; Adjust the parameter value; The content of microorganisms or impurities in the solar thermal storage tank; The standard microbial content or impurity content in the solar thermal storage tank; To adjust the parameters; The system obtains real-time electricity costs, average electricity costs within a preset time period, and usage data for the first mode and the second mode within a preset time period when using an air source heat pump. Based on this data, the system inputs the relevant data, real-time electricity costs, average electricity costs within a preset time period, and usage data for the first mode and the second mode within a preset time period into the parameter adjustment formula. The parameter adjustment value includes: obtaining the parameter adjustment value using a parameter adjustment formula, wherein the parameter adjustment formula is: ； In the formula, Adjust the parameter value; The temperature at which the liquid working fluid in the solar thermal storage tank has not reached the preset temperature; Preset temperature; The average electricity cost over a preset time period; Real-time electricity cost when using an air source heat pump; This refers to the number of times the first mode is used within a preset time period; The number of times the second mode is used within a preset time period; To adjust the parameters.

2. The deep learning-based air source heat pump control method of claim 1, wherein, The process of supplying heat by controlling the flow of water into the manifold tank through a three-way valve of the primary heating system includes: directing the circulating water of the heating system into the manifold tank to regulate and balance the system water pressure; adjusting the flow rate and temperature of the circulating water to obtain adjusted hot water; and supplying heat to users based on the adjusted hot water.

3. The deep learning-based air source heat pump control method of claim 2, wherein, When the solar radiation intensity is less than a first preset threshold, after determining the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating. This includes: the solar thermal system and the air source heat pump are coupled through a heat exchanger, wherein the liquid working fluid in the solar thermal storage tank and the liquid working fluid in the air source heat pump are not in direct contact; the heat exchanger is a liquid-liquid heat exchanger.

4. The deep learning-based air source heat pump control method of claim 3, wherein, When the solar radiation intensity is less than a first preset threshold, after determining the temperature of the liquid working fluid in the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating, including: When the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system, the water flows into the manifold tank for heating after the heating system is adjusted through the first mode or the second mode. When the temperature of the liquid working fluid in the solar thermal storage tank is lower than the temperature of the return water in the heating system, the return water of the heating system does not exchange heat with the liquid working fluid in the solar thermal storage tank. Instead, it exchanges heat with the air source heat pump through the return water three-way valve of the heating system before flowing into the manifold for heating.

5. The deep learning-based air source heat pump control method according to claim 4, characterized in that, When the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system, the heating system is adjusted through the first mode or the second mode and then flows into the manifold for heating. The first mode is to use a solar thermal collector to heat the liquid working fluid of the solar thermal system and then put it into the solar thermal storage tank. The liquid working fluid in the solar thermal storage tank is then exchanged with the return water of the heating system using a heat exchanger. After that, it is heated again using an air source heat pump and finally flows into the manifold for heating. The second mode involves heating the liquid working fluid of the solar thermal system using a solar collector and then placing it into a solar storage tank. The liquid working fluid in the solar storage tank is then exchanged with the return water of the heating system using a heat exchanger. The return water of the heating system is then divided into return water to be heated and return water to be waited for. The return water to be heated is then reheated by a three-way valve of the primary heating system and an air source heat pump to become secondary heated return water, which flows into a manifold. The return water to be waited for flows directly into the manifold through a three-way valve of the primary heating system. The secondary heated return water and the return water to be waited for are then mixed and used for heating.

6. A deep learning-based air source heat pump control system, according to any one of claims 1-5, wherein, include: The data collection module is used to acquire relevant data of the solar thermal storage tank, including the temperature of the liquid working fluid and the intensity of solar radiation. The first judgment module is used to judge the relationship between solar radiation intensity and a first preset threshold, and decide whether to use an air source heat pump for auxiliary management based on the judgment result. The second judgment module is used to determine the relationship between the liquid working fluid temperature of the solar thermal storage tank and the return water temperature of the heating system, and decide whether to use the solar thermal system for management based on the judgment result. The mode selection module is used to select either the first mode or the second mode when the temperature of the liquid working fluid in the solar thermal storage tank is greater than or equal to the return water temperature of the heating system. The adjustment processing module is used to obtain an adjustment value using an adjustment processing formula based on the relevant data, and to use an air source heat pump to heat the liquid working fluid in the solar thermal storage tank according to the adjustment value.

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