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

Abstract

The invention relates to the technical field of solar heat pumps, in particular to an air source heat pump control method and system based on deep learning. Comprising the following steps that S1, the liquid working medium temperature of a solar heat storage tank is obtained through a temperature sensor, the solar radiation intensity is obtained through a sensor, and auxiliary management of the air source heat pump is judged according to the liquid working medium temperature of the solar heat storage tank and the solar radiation intensity; and S2, relevant data of the solar heat storage tank are obtained, an adjustment value is obtained by using an adjustment processing formula according to the relevant data, and the liquid working medium in the solar heat storage tank is heated by using an air source heat pump according to the adjustment value. By combining the advantages of the solar photo-thermal system and the air source heat pump, stable heat supply under various environmental conditions is guaranteed, the liquid working medium in the heat storage tank is heated according to a parameter adjustment formula, and breeding of pathogenic microorganisms is eradicated.

Description

Technical Field

[0001] The present invention relates to the technical field of solar heat pumps, and in particular to a deep learning-based air source heat pump control method and system. Background Art

[0002] With the rapid development of renewable energy technology, solar thermal systems and air source heat pumps are increasingly used in the field of heating. Solar thermal systems use solar radiation to heat the liquid working fluid in the heat storage tank to meet the needs of building heating and domestic hot water supply; air source heat pumps use low-grade thermal energy in the air to provide users with efficient heat output through heat pump cycles. These two technologies have the advantages of energy saving, environmental protection, and low operating costs. They are widely used in homes, schools, hotels, hospitals and other places. However, in actual applications, the combination of solar thermal systems and air source heat pumps still faces many technical difficulties. For example, solar thermal systems are affected by weather and The significant influence of sunshine conditions leads to large fluctuations in heating efficiency. When the radiation intensity is insufficient or it is operated at night, the heating capacity is significantly reduced, and it is impossible to continuously provide users with stable hot water. In a scenario such as a hospital, which has extremely high requirements for the quality of hot water, if the liquid working fluid in the heat storage tank is operated at a low temperature for a long time, it is easy to breed bacteria such as Legionella, leading to health hazards and threatening the health of patients and medical staff. There is an urgent need for an intelligent control method that can combine solar thermal systems with air source heat pumps, which can not only effectively improve the stability and health safety of the heating system, but also greatly optimize the energy utilization efficiency to meet the high standards of special scenarios such as hospitals. Summary of the invention

[0003] In order to overcome the shortcomings of unstable solar heating and health and safety hazards when used in special scenarios, the present invention provides an air source heat pump control method and system based on deep learning.

[0004] The technical solution of the present invention is: a deep learning-based air source heat pump control method, comprising the following steps: S1: obtaining the temperature of the liquid working medium of 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 according to the temperature of the liquid working medium of the solar thermal storage tank and the solar radiation intensity; S2: Obtain relevant data of the solar thermal storage tank, and use an adjustment processing formula to obtain an adjustment value according to the relevant data, and use an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value.

[0005] Preferably, the temperature of the liquid working medium in the solar thermal storage tank is obtained by a temperature sensor, and the solar radiation intensity is obtained by a sensor, and the auxiliary management of the air source heat pump is judged according to the temperature of the liquid working medium in the solar thermal storage tank and the solar radiation intensity, including: when the solar radiation intensity is greater than or equal to a first preset threshold, the liquid working medium of the solar thermal system is heated by a solar thermal system and then stored in the solar thermal storage tank, a heat exchanger is used to exchange heat between the liquid working medium in the solar thermal storage tank and the return water of the heating system, and the three-way valve of the primary heating system is used to control the flow into the junction water tank for heating; When the solar radiation intensity is less than the first preset threshold, after judging the liquid working medium temperature of the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating.

[0006] Preferably, the heating is provided by controlling the flow into the junction water tank through a three-way valve of the primary heating system, including: flowing the circulating water of the heating system into the junction water tank to adjust and balance the system water pressure, adjusting the flow rate and water temperature of the circulating water to obtain adjusted hot water, and providing heating to heat users according to the adjusted hot water.

[0007] Preferably, when the solar radiation intensity is less than a 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, including: 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 is not in direct contact with the liquid working fluid in the air source heat pump; and the heat exchanger is a liquid-liquid heat exchanger.

[0008] Preferably, when the solar radiation intensity is less than the first preset threshold, after judging the liquid working medium temperature of 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 medium 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 confluence water tank for heating; When the temperature of the liquid working fluid in the solar thermal storage tank is lower than the return water temperature of 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, the return water of the heating system exchanges heat with the air source heat pump using the return water three-way valve of the heating system and then flows into the junction water tank for heating.

[0009] Preferably, when the temperature of the liquid working medium 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 junction water tank for heating, including: the first mode is to use a solar thermal collector to heat the liquid working medium of the photothermal system and then put it into the solar thermal storage tank, use a heat exchanger to exchange heat between the liquid working medium in the solar thermal storage tank and the return water of the heating system, use an air source heat pump for secondary heating, and finally flow into the junction water tank for heating; The second mode is to use a solar thermal collector to heat the liquid working fluid of the photothermal system and then put it into a solar thermal storage tank. After the liquid working fluid in the solar thermal storage tank is exchanged with the return water of the heating system using a heat exchanger, the return water of the heating system is divided into return water to be heated and waiting return water. The return water to be heated is secondary heated by a three-way valve of the primary heating system and an air source heat pump as secondary heating return water, and the secondary heating return water flows into a junction water tank; the waiting return water flows directly into the junction water tank through the three-way valve of the primary heating system, and the secondary heating return water and the waiting return water are mixed for heating.

[0010] Preferably, the obtaining of relevant data of the solar thermal storage tank, and obtaining an adjustment value using an adjustment processing formula according to the relevant data, and using an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value, includes: the relevant data includes the temperature of the liquid working medium 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, and obtaining the adjustment value using an adjustment processing formula according to the relevant data; 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 medium in the solar thermal storage tank, wherein the adjustment processing formula is: ; In the formula, is the adjustment value; is the parameter weight; The number of consecutive days that the liquid working medium in the solar thermal storage tank does not reach the preset temperature; Set the number of days for the standard temperature rise cycle; Adjust the values ​​for the parameters; It is the microbial content or impurity content in the solar thermal storage tank; It is the standard microbial content or impurity content in the solar thermal storage tank; To adjust the parameters.

[0011] Preferably, the parameter adjustment formula includes: obtaining the real-time electricity charge when using the air source heat pump, the average electricity charge within a preset time period, and the usage data of the first mode within the preset time period and the second mode within the preset time period, and inputting the relevant data, the real-time electricity charge when using the air source heat pump, the average electricity charge within the preset time period, and the usage data of the first mode within the preset time period and the second mode within the preset time period into the parameter adjustment formula.

[0012] Preferably, the parameter adjustment value comprises: obtaining the parameter adjustment value using a parameter adjustment formula, wherein the parameter adjustment formula is: ; In the formula, Adjust the values ​​for the parameters; It is the temperature of the liquid working medium in the solar thermal storage tank when it does not reach the preset temperature; is the preset temperature; is the average electricity cost within the preset time period; The real-time electricity cost when using the air source heat pump; is the number of times the first mode is used within a preset time period; is the number of times the second mode is used within a preset time period; To adjust the parameters.

[0013] Preferably, an air source heat pump control system based on deep learning comprises: A data collection module is used to obtain relevant data of the solar thermal storage tank, the liquid working medium temperature of the solar thermal storage tank and the solar radiation intensity data; A first judgment module is used to judge the relationship between the solar radiation intensity and the first preset threshold value, and decide whether to use the air source heat pump for auxiliary management according to the judgment result; The second judgment module is used to judge the relationship between the liquid working medium 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; A mode selection module, used to select the first mode or the second mode when the temperature of the liquid working medium 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 according to the relevant data, and use an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value.

[0014] The beneficial effects of the present invention are: 1. The present invention combines the advantages of solar thermal system and air source heat pump, adopts real-time data collection and intelligent analysis, and realizes dynamic switching of heating mode. 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 started for temperature compensation, thereby ensuring that the system can stably provide heat under various environmental conditions; 2. This system has a built-in high-temperature sterilization function. It dynamically heats the liquid working medium in the heat storage tank to above the preset temperature according to the adjustment processing formula, fundamentally eliminating the growth of pathogenic microorganisms such as Legionella, and meeting the sanitary requirements for hot water in special scenarios such as hospitals; 3. Provide two heating modes, and select the optimal path according to the comparison between the liquid working medium temperature of the solar thermal storage tank and the return water temperature of the heating system, so as to improve the overall energy efficiency of the system; 4. Through real-time data monitoring and status feedback, the system can issue an alarm in time when the temperature of the liquid working fluid is low or the water quality does not meet the standard, ensuring the safe operation of the system. The heat exchanger adopts liquid-liquid heat exchange to ensure that the solar heat storage tank and the liquid working fluid of the air source heat pump are not in direct contact, avoiding cross contamination. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flow chart of an air source heat pump control method based on deep learning in the present invention; Figure 2 This is a schematic diagram of an air source heat pump control system based on deep learning in the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Embodiment 1: A method for controlling an air source heat pump based on deep learning, such as Figure 1 As shown, the following steps are included: S1: obtaining the temperature of the liquid working medium of 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 according to the temperature of the liquid working medium of the solar thermal storage tank and the solar radiation intensity; When the solar radiation intensity is greater than or equal to the first preset threshold, the solar thermal system is used to heat the liquid working fluid of the solar thermal system and then stored in the solar thermal storage tank, and a heat exchanger is used to exchange heat between the liquid working fluid in the solar thermal storage tank and the return water of the heating system, and the three-way valve of the primary heating system controls the flow into the junction water tank for heating; When the solar radiation intensity is less than the first preset threshold, after judging the liquid working medium temperature of the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating.

[0018] It should be explained that when the solar radiation intensity is high, for example 500W / m 2 As mentioned above, the solar thermal system can meet the heat requirements of the building when it operates independently. At this time, the liquid working fluid of the solar thermal system enters the solar thermal storage tank after being heated by the solar thermal collector, and then exchanges heat with the return water of the heating system through the heat exchanger. After the return water of the heating system is heated, it is controlled by the three-way valve of the primary heating system, and the return water of the heating system directly flows into the junction tank, and then is sent to the heat users for heating or domestic hot water. When the solar radiation intensity is low, for example 500W / m 2 The following is that the solar thermal system cannot meet the heat required by the building when it operates independently, and an air source heat pump is required for auxiliary heating management; the solar thermal system adopts a trough collector system, a tower collector system or a Fresnel collector system, and its purpose is to use the solar collector system to absorb solar energy, convert solar energy into thermal energy, and transmit the thermal energy to the heat-using terminal through a liquid working fluid; the liquid working fluid of the solar thermal system can be water, antifreeze and heat transfer oil, which plays the functions of heat absorption, heat transmission and heat release; the solar thermal system is equipped with a solar thermal storage tank. After the liquid working fluid of the solar thermal system absorbs heat at the solar thermal collector, it first stores the heat in the solar thermal storage tank. The function of the solar thermal storage tank is to store heat, regulate and balance the water pressure of the system, that is, to store excess heat when solar energy is sufficient, and release the stored heat when demand peaks or solar energy is insufficient, so as to ensure the continuity and stability of the heating system; the capacity of the solar thermal storage tank is determined according to the collector system and heating demand, and the capacity of the solar thermal storage tank should generally be selected according to 0.5-2 times the peak heat collection of the collector system.

[0019] The circulating water of the heating system flows into the confluence water tank to adjust and balance the water pressure, and the adjusted hot water is obtained by adjusting the flow and water temperature of the circulating water. Heat is supplied to heat users according to the adjusted hot water.

[0020] It needs to be explained that the regulating device in the confluence water tank dynamically balances the flow rate and water pressure of the circulating water to avoid uneven hot water distribution due to excessive pressure difference in the system; the confluence water tank is equipped with a temperature regulation module, which monitors the water temperature in the water tank in real time through a thermal sensor, and dynamically adjusts the inlet and outlet flow rates of the circulating water according to the target heating temperature to ensure that the output hot water temperature meets user needs. The circulating water after water pressure and temperature adjustment is used as the adjusted hot water, which is distributed to the heat user end through the heating pipeline network to meet heating or domestic hot water needs.

[0021] 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 is not in direct contact with the liquid working fluid in the air source heat pump; the heat exchanger is a liquid-liquid heat exchanger.

[0022] It needs to be explained that the heat exchanger should be a liquid-liquid heat exchanger, and its heat exchange efficiency should be above 75% to ensure the heat exchange effect and avoid cross infection. The air source heat pump, as an auxiliary heat source of the solar thermal system, gives priority to using the heat of the solar thermal system for heating. When the solar thermal system does not provide sufficient heating, the air source heat pump is turned on to assist in heating.

[0023] When the temperature of the liquid working medium 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 confluence water tank for heating; When the temperature of the liquid working fluid in the solar thermal storage tank is lower than the return water temperature of 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, the return water of the heating system exchanges heat with the air source heat pump using the return water three-way valve of the heating system and then flows into the junction water tank for heating.

[0024] It should be explained that when the solar radiation intensity is low, 500W / m 2 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, there are two operating modes, namely 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 for coordinated processing at the same time, which can reduce the energy consumption of the air source heat pump while enhancing the versatility and stability of the system.

[0025] 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. After the liquid working fluid in the solar thermal storage tank is exchanged with the return water of the heating system using a heat exchanger, an air source heat pump is used for secondary heating, and finally the liquid working fluid flows into the junction water tank for heating. The second mode is to use a solar thermal collector to heat the liquid working fluid of the photothermal system and then put it into a solar thermal storage tank. After the liquid working fluid in the solar thermal storage tank is exchanged with the return water of the heating system using a heat exchanger, the return water of the heating system is divided into return water to be heated and waiting return water. The return water to be heated is secondary heated by a three-way valve of the primary heating system and an air source heat pump as secondary heating return water, and the secondary heating return water flows into a junction water tank; the waiting return water flows directly into the junction water tank through the three-way valve of the primary heating system, and the secondary heating return water and the waiting return water are mixed for heating.

[0026] It should be explained that in the first mode, the system uses a solar thermal collector to heat the liquid working fluid in the solar thermal system and store it in a solar thermal storage tank. The liquid working fluid in the solar thermal storage tank exchanges heat with the return water of the heating system through a heat exchanger, and transfers the heat to the return water of the heating system. The return water of the heating system after heat exchange is secondary heated by an air source heat pump to reach the target temperature required for user heating. Finally, the secondary heated hot water flows into the junction water tank and is transported to the user end through a 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, and the return water to be waited for: directly flows into the junction water tank through a three-way valve of the primary heating system; when selecting the first mode or the second mode, the real-time heat demand of the heating system and the temperature condition of the solar thermal storage tank can be analyzed through a deep learning algorithm, and the first mode or the second mode can be automatically selected for operation; in the example of this embodiment, when the temperature of the solar thermal storage tank is high and the heating demand is stable, the first mode is preferentially selected; when the heating demand fluctuates greatly, the second mode is selected to improve the dynamic response capability of the system.

[0027] S2: Obtain relevant data of the solar thermal storage tank, and use an adjustment processing formula to obtain an adjustment value according to the relevant data, and use an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value.

[0028] The relevant data include the temperature of the liquid working medium in the solar thermal storage tank and the corresponding days, the standard preset heating cycle days, the microbial content or impurity content and the standard microbial content or impurity content. The adjustment value is obtained by using an adjustment processing formula according to the relevant data. When the adjustment value is greater than or equal to the second preset threshold, the air source heat pump is used to heat the liquid working medium in the solar thermal storage tank, wherein the adjustment processing formula is: ; In the formula, is the adjustment value; is the parameter weight; The number of consecutive days that the liquid working medium in the solar thermal storage tank does not reach the preset temperature; Set the number of days for the standard temperature rise cycle; Adjust the values ​​for the parameters; It is the microbial content or impurity content in the solar thermal storage tank; It is the standard microbial content or impurity content in the solar thermal storage tank; To adjust the parameters.

[0029] It should be explained that the following relevant data are obtained in real time through sensors: the temperature of the liquid working medium in the solar thermal storage tank and the corresponding number of days, the number of days of the standard preset heating cycle, the microbial content or impurity content and the standard microbial content or impurity content; where It reflects the impact of the number of days when the liquid working medium in the solar thermal storage tank does not reach the preset temperature on the adjustment value; It reflects the degree to which the content of microorganisms or impurities in the liquid working fluid in the solar thermal storage tank deviates from the standard value; the system compares the calculated adjustment value with the second preset threshold value: When it is greater than or equal to the second preset threshold, the system starts the air source heat pump to heat the liquid working medium; when When it is less than a second preset threshold, the system maintains the current state and waits for subsequent data update. The second preset threshold is a value that can distinguish the degree of adjustment value after experiment.

[0030] 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 within the preset time period and the second mode within the preset time period are obtained, and the relevant data, the real-time electricity cost when using the air source heat pump, the average electricity cost within the preset time period, and the usage data of the first mode within the preset time period and the second mode within the preset time period are input into the parameter adjustment formula.

[0031] Use the parameter adjustment formula to obtain the parameter adjustment value, where the parameter adjustment formula is, ; In the formula, Adjust the values ​​for the parameters; It is the temperature of the liquid working medium in the solar thermal storage tank when it does not reach the preset temperature; is the preset temperature; is the average electricity cost within the preset time period; The real-time electricity cost when using the air source heat pump; is the number of times the first mode is used within a preset time period; is the number of times the second mode is used within a preset time period; To adjust the parameters.

[0032] It needs to be explained that To record the real-time electricity price when using air source heat pumps and 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, which is used to evaluate the degree of deviation from 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 frequency of use of this mode; To count the number of times the air source heat pump operates in the second mode within a preset time period and measure the usage ratio of the two modes; where: Reflects the degree of deviation between the current temperature of the liquid working medium in the solar thermal storage tank and the preset temperature; To compare the real-time electricity cost with the average electricity cost, if the real-time electricity cost is lower than the average value and the deviation exceeds the parameter , which has a more significant impact on the adjustment value, encouraging the start-up of heat pumps when electricity prices are low; To measure the usage ratio of the first mode and the second mode, when the number of operations of the first mode is large, the contribution of this item to the adjustment value is large, and it is encouraged to give priority to the use of the mode with low energy consumption.

[0033] Embodiment 2: Based on embodiment 1, Figure 2 As shown, an air source heat pump control system based on deep learning includes: A data collection module is used to obtain relevant data of the solar thermal storage tank, the liquid working medium temperature of the solar thermal storage tank and the solar radiation intensity data; A first judgment module is used to judge the relationship between the solar radiation intensity and the first preset threshold value, and decide whether to use the air source heat pump for auxiliary management according to the judgment result; The second judgment module is used to judge the relationship between the liquid working medium 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; A mode selection module, used to select the first mode or the second mode when the temperature of the liquid working medium 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 according to the relevant data, and use an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value.

[0034] It should be understood that the above description is only for exemplary purposes and is not meant to limit the present invention. Those skilled in the art will appreciate that variations of the present invention will be included within the scope of the claims herein.

Claims

1. A deep learning-based air source heat pump control method, characterized in that: The following steps are involved: S1: obtaining the temperature of the liquid working medium of 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 according to the temperature of the liquid working medium of the solar thermal storage tank and the solar radiation intensity; S2: Obtain relevant data of the solar thermal storage tank, and use an adjustment processing formula to obtain an adjustment value according to the relevant data, and use an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value.

2. The air source heat pump control method based on deep learning according to claim 1 is characterized in that: The temperature of the liquid working medium in the solar thermal storage tank is obtained by a temperature sensor, and the solar radiation intensity is obtained by a sensor. According to the temperature of the liquid working medium 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 medium of the solar thermal system is heated by a solar thermal system and then stored in the solar thermal storage tank, the liquid working medium in the solar thermal storage tank is exchanged with the return water of the heating system by a heat exchanger, and the three-way valve of the primary heating system is used to control the flow into the confluence water tank for heating; When the solar radiation intensity is less than the first preset threshold, after judging the liquid working medium temperature of the solar thermal storage tank and the return water temperature of the heating system, an air source heat pump is used for auxiliary heating.

3. The air source heat pump control method based on deep learning according to claim 2 is characterized in that: The heating system is controlled by a three-way valve to flow into a confluence water tank for heating, including: circulating water of the heating system flows into the confluence water tank to adjust and balance the system water pressure, adjusting the flow rate and water temperature of the circulating water to obtain adjusted hot water, and heating users according to the adjusted hot water.

4. The air source heat pump control method based on deep learning according to claim 3 is characterized in that: When the solar radiation intensity is less than a 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, including: 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 is not in direct contact with the liquid working fluid in the air source heat pump; and the heat exchanger is a liquid-liquid heat exchanger.

5. The air source heat pump control method based on deep learning according to claim 4 is characterized in that: When the solar radiation intensity is less than the first preset threshold, after judging the liquid working medium temperature of 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 medium 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 confluence water tank for heating; When the temperature of the liquid working fluid in the solar thermal storage tank is lower than the return water temperature of 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, the return water of the heating system exchanges heat with the air source heat pump using the return water three-way valve of the heating system and then flows into the junction water tank for heating.

6. The air source heat pump control method based on deep learning according to claim 5 is characterized in that: When the temperature of the liquid working medium 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 junction water tank for heating, including: the first mode is to use a solar thermal collector to heat the liquid working medium of the photothermal system and then put it into the solar thermal storage tank, use a heat exchanger to exchange heat between the liquid working medium in the solar thermal storage tank and the return water of the heating system, use an air source heat pump for secondary heating, and finally flow into the junction water tank for heating; The second mode is to use a solar thermal collector to heat the liquid working fluid of the photothermal system and then put it into a solar thermal storage tank. After the liquid working fluid in the solar thermal storage tank is exchanged with the return water of the heating system using a heat exchanger, the return water of the heating system is divided into return water to be heated and waiting return water. The return water to be heated is secondary heated by a three-way valve of the primary heating system and an air source heat pump as secondary heating return water, and the secondary heating return water flows into a junction water tank; the waiting return water flows directly into the junction water tank through the three-way valve of the primary heating system, and the secondary heating return water and the waiting return water are mixed for heating.

7. The air source heat pump control method based on deep learning according to claim 1 is characterized in that: The obtaining of relevant data of the solar thermal storage tank, and obtaining an adjustment value using an adjustment processing formula according to the relevant data, and using an air source heat pump to heat up the liquid working medium in the solar thermal storage tank according to the adjustment value, includes: the relevant data includes the temperature of the liquid working medium 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, and obtaining the adjustment value using an adjustment processing formula according to 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 up the liquid working medium in the solar thermal storage tank, wherein the adjustment processing formula is: ； In the formula, is the adjustment value; is the parameter weight; The number of consecutive days that the liquid working medium in the solar thermal storage tank does not reach the preset temperature; Set the number of days for the standard temperature rise cycle; Adjust the values ​​for the parameters; It is the microbial content or impurity content in the solar thermal storage tank; It is the standard microbial content or impurity content in the solar thermal storage tank; To adjust the parameters.

8. The air source heat pump control method based on deep learning according to claim 7 is characterized in that: 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 within the preset time period and the second mode within the 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 the preset time period, and the usage data of the first mode within the preset time period and the second mode within the preset time period into the parameter adjustment formula.

9. The air source heat pump control method based on deep learning according to claim 8 is characterized in that: 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 values ​​for the parameters; It is the temperature of the liquid working medium in the solar thermal storage tank when it does not reach the preset temperature; is the preset temperature; is the average electricity cost within the preset time period; The real-time electricity cost when using the air source heat pump; is the number of times the first mode is used within a preset time period; is the number of times the second mode is used within a preset time period; To adjust the parameters.

10. An air source heat pump control system based on deep learning, according to the air source heat pump control method based on deep learning according to any one of claims 1-9, characterized in that: include: A data collection module is used to obtain relevant data of the solar thermal storage tank, the liquid working medium temperature of the solar thermal storage tank and the solar radiation intensity data; A first judgment module is used to judge the relationship between the solar radiation intensity and the first preset threshold value, and decide whether to use the air source heat pump for auxiliary management according to the judgment result; The second judgment module is used to judge the relationship between the liquid working medium 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; A mode selection module, used to select the first mode or the second mode when the temperature of the liquid working medium 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 according to the relevant data, and use an air source heat pump to heat the liquid working medium in the solar thermal storage tank according to the adjustment value.

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