Energy-saving heat exchange control method and system based on Tianshi water system and storage medium

Abstract

The invention discloses an energy-saving heat exchange control method and system based on a Tianshi water system and a storage medium, and relates to the field of industrial parameter optimization control. Constructing an output capability value-time sequence, and constructing an indoor environment temperature-time sequence; carrying out correlation analysis on the output capability value-time sequence and the indoor environment temperature-time sequence, determining a first influence coefficient of the output capability value on the temperature, carrying out correlation analysis on the first influence coefficient and the outdoor environment temperature, and determining a second influence coefficient of the outdoor environment on the Tianfluland water system; a control strategy is formulated for the Tianfluor ground water system, the control strategy is optimized based on the indoor environment temperature of the previous moment, the outdoor environment temperature of the previous moment, the current indoor environment temperature and the current outdoor environment temperature, an optimal control strategy is obtained, and a water saving instruction of the shunt valve is controlled according to the optimal control strategy. According to the invention, the water system can be ensured to operate with the minimum energy consumption on the premise of meeting the indoor temperature regulation requirement.

Description

Technical Field

[0001] The present invention relates to the field of industrial parameter optimization control, and more specifically, to an energy-saving heat exchange control method, system, and storage medium based on a Tianfu ground water system. Background Art

[0002] In the field of building environment regulation today, the heating, ventilation, and air conditioning (HVAC) system plays a crucial role in maintaining a comfortable indoor environment. As a composite HVAC technology solution that combines the characteristics of a fluorine system and a water system, the Tianfu ground water system has been widely used in recent years. It aims to integrate the efficient cooling and heating performance of the fluorine system and the good thermal stability of the water system to provide suitable temperature and humidity conditions for various buildings.

[0003] However, with the increasingly severe energy problem and the continuous improvement of people's attention to the operating cost of buildings, many economic shortboards of the existing Tianfu ground water system need to be urgently solved. On the one hand, the traditional Tianfu ground water system lacks refined means in the heat exchange control link. In the face of different seasonal alternations, changes in day and night temperature differences, and complex and changeable indoor and outdoor environments, the system is difficult to sensitively capture the dynamic changes of the actual working conditions. This not only makes it difficult to accurately maintain indoor comfort, but also causes energy to be wasted in the inefficient heat exchange cycle, resulting in a high overall operating cost of the system, which runs counter to the current concept of green and energy-saving buildings.

[0004] Furthermore, with the booming development of intelligent control technology in various industries, the building HVAC field has not fully utilized this technological dividend. Most of the existing Tianfu ground water systems are not equipped with perfect intelligent data analysis and decision-making components, and are unable to deeply explore the potential value of a large amount of environmental data and equipment operation data collected. They often can only run according to a preset and relatively single program, lacking the ability to adaptively adjust to real-time working conditions and unable to meet the diverse and dynamic energy management needs of modern buildings. An innovative method is urgently needed to break this dilemma and achieve the high-efficiency energy saving and intelligent and precise control of the Tianfu ground water system. Summary of the Invention

[0005] In view of this, the present invention provides an energy-saving heat exchange control method, system, and storage medium based on a Tianfu ground water system to achieve precise regulation of the water system flow rate. By precisely controlling the water distribution valve, water resource waste can be avoided, and at the same time, it is ensured that the water system operates with the minimum energy consumption on the premise of meeting the indoor temperature adjustment requirements.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] An energy-saving heat exchange control method based on a Tianfu ground water system, comprising the following steps:

[0008] Periodically obtain the real-time data of the unit conditions corresponding to the air-source heat pump with floor heating and cooling system and the initial capacity output value, predict the capacity output value at the next moment according to the real-time data of the unit conditions and the initial capacity output value, and construct the output capacity value - time series;

[0009] Periodically obtain the initial indoor environmental temperature and outdoor environmental temperature of the current environment, predict the indoor temperature at the next moment according to the initial indoor environmental temperature and outdoor environmental temperature, and construct the indoor environmental temperature - time series;

[0010] Conduct a correlation analysis on the output capacity value - time series and the indoor environmental temperature - time series to determine the first influence coefficient of the output capacity value on temperature, and conduct a correlation analysis on the first influence coefficient and the outdoor environmental temperature to determine the second influence coefficient of the outdoor environment on the air-source heat pump with floor heating and cooling system;

[0011] Formulate a control strategy for the air-source heat pump with floor heating and cooling system according to the first influence coefficient and the second influence coefficient, optimize the control strategy based on the indoor environmental temperature at the previous moment, the outdoor environmental temperature at the previous moment, the current indoor environmental temperature and the current outdoor environmental temperature, and obtain the optimal control strategy, and control the water-saving instruction of the water distribution valve according to the optimal control strategy.

[0012] Optionally, conduct a correlation analysis on the output capacity value - time series and the indoor environmental temperature - time series to determine the first influence coefficient of the output capacity value on temperature, specifically as follows:

[0013] Align the output capacity value - time series and the indoor environmental temperature - time series, and remove the time series segments of the non-aligned parts;

[0014] Calculate the first power spectral density function and the second power spectral density function of the output capacity value - time series and the indoor environmental temperature - time series respectively, analyze the power spectral density peaks of the first power spectral density function and the second power spectral density function, determine the correlation relationship, and obtain the first influence coefficient value.

[0015] Optionally, formulate a control strategy for the air-source heat pump with floor heating and cooling system according to the first influence coefficient, specifically: in winter, when the indoor temperature is higher than the set value, reduce the output capacity of the unit according to the first influence coefficient to lower the indoor temperature; conversely, when the indoor temperature is lower than the set value, increase the output capacity of the unit; in summer, when the indoor temperature is lower than the set value, reduce the output capacity of the unit according to the first influence coefficient to lower the indoor temperature; conversely, when the indoor temperature is higher than the set value, increase the output capacity of the unit.

[0016] Optionally, the real-time data of the unit conditions corresponding to the air-source heat pump with floor heating and cooling system includes fluorine system data and water system data; among them, the fluorine system data includes compressor operation parameters and refrigerant state parameters, and the water system data includes supply water temperature, return water temperature and ground source side water temperature.

[0017] Optionally, the current indoor environmental temperature and the current outdoor environmental temperature are used to optimize the control strategy to obtain the optimal control strategy. Specifically, according to the first evaluation distance and the second evaluation distance between the historical data group at the same time and the data group at the current moment, the AI algorithm system is used to obtain the optimized control parameters of each device of the air-to-water system, and combined with the gradient optimization control algorithm, the optimization of the entire air-to-water system is completed.

[0018] Optionally, it also includes constructing a control strategy model, training the control strategy model using historical control strategy data, predicting the future indoor and outdoor environmental temperatures and the system operating status, and formulating corresponding control strategies in advance in combination with the prediction results, the first influence coefficient, and the second influence coefficient.

[0019] An energy-saving heat exchange control system based on an air-to-water system, comprising:

[0020] Output capacity value-time series module: used to periodically obtain the real-time data of the unit conditions corresponding to the air-to-water system and the initial capacity output value, predict the capacity output value at the next moment according to the real-time data of the unit conditions and the initial capacity output value, and construct an output capacity value-time series;

[0021] Indoor environmental temperature-time series module: used to periodically obtain the initial indoor environmental temperature and the outdoor environmental temperature of the current environment, predict the indoor temperature at the next moment according to the initial indoor environmental temperature and the outdoor environmental temperature, and construct an indoor environmental temperature-time series;

[0022] First influence coefficient and second influence coefficient determination module: used to analyze the correlation between the output capacity value-time series and the indoor environmental temperature-time series, determine the first influence coefficient of the output capacity value on the temperature, and perform a correlation analysis on the first influence coefficient and the outdoor environmental temperature to determine the second influence coefficient of the outdoor environment on the air-to-water system;

[0023] Energy-saving heat exchange control module: used to formulate a control strategy for the air-to-water system according to the first influence coefficient and the second influence coefficient, optimize the control strategy based on the indoor environmental temperature at the previous moment, the outdoor environmental temperature at the previous moment, the current indoor environmental temperature, and the current outdoor environmental temperature, and complete the energy-saving heat exchange control method according to the optimal control strategy.

[0024] Optionally, it also includes a control strategy model module: used to construct a control strategy model, train the control strategy model using historical control strategy data, predict the future indoor and outdoor environmental temperatures and the system operating status, and formulate corresponding control strategies in advance in combination with the prediction results, the first influence coefficient, and the second influence coefficient.

[0025] A computer storage medium stores a computer program thereon, and when the computer program is executed by a processor, it implements the steps of any one of the energy-saving heat exchange control methods based on the Tianfu-Dishui system.

[0026] As can be seen from the above technical solutions, compared with the prior art, the present invention provides an energy-saving heat exchange control method, system and storage medium based on the Tianfu-Dishui system, and has the following beneficial effects:

[0027] 1. Formulate a control strategy: Formulate a control strategy according to the first influence coefficient and the second influence coefficient, so that the control strategy can comprehensively consider the complex relationship among the system output capacity, indoor temperature and outdoor environment. This control strategy based on multi-factor analysis can better adapt to different working conditions and environmental changes compared with the traditional simple control method, and improve the overall operation efficiency of the system.

[0028] 2. Optimize to obtain the optimal strategy: Optimize the control strategy based on the indoor and outdoor environmental temperatures at the previous moment and the current moment, and further explore the energy-saving potential in the state changes of the system at different time points. Through continuous optimization, the control strategy can dynamically adapt to the real-time changes of the indoor and outdoor environment, find the most suitable operation mode for the current working condition, and thus achieve the maximum energy saving. Description of the Drawings

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the provided drawings without creative efforts.

[0030] Figure 1 It is a schematic flowchart of the method of the present invention;

[0031] Figure 2 It is a schematic structural diagram of the system of the present invention. Detailed Embodiments

[0032] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the protection scope of the present invention.

[0033] The embodiments of the present invention disclose an energy-saving heat exchange control method based on the Tianfu-Dishui system, as Figure 1 shown, including the following steps:

[0034] Step 1: Periodically obtain the real-time data of the unit conditions corresponding to the air-to-water system and the initial capacity output value, predict the capacity output value at the next moment based on the real-time data of the unit conditions and the initial capacity output value, and construct an output capacity value-time series;

[0035] Step 2: Periodically obtain the initial indoor environmental temperature and the outdoor environmental temperature of the current environment, predict the indoor temperature at the next moment based on the initial indoor environmental temperature and the outdoor environmental temperature, and construct an indoor environmental temperature-time series;

[0036] Step 3: Conduct a correlation analysis on the output capacity value-time series and the indoor environmental temperature-time series to determine the first influence coefficient of the output capacity value on temperature, and conduct a correlation analysis on the first influence coefficient and the outdoor environmental temperature to determine the second influence coefficient of the outdoor environment on the air-to-water system;

[0037] Step 4: Develop a control strategy for the air-to-water system based on the first influence coefficient and the second influence coefficient, optimize the control strategy based on the indoor environmental temperature at the previous moment, the outdoor environmental temperature at the previous moment, the current indoor environmental temperature, and the current outdoor environmental temperature, obtain the optimal control strategy, and control the water-saving instruction of the water distribution valve according to the optimal control strategy.

[0038] Furthermore, in Step 1, the real-time data of the unit conditions corresponding to the air-to-water system includes fluorine system data and water system data; among them, the fluorine system data includes compressor operation parameters and refrigerant state parameters, and the water system data includes supply water temperature, return water temperature, and ground source side water temperature.

[0039] Compressor operation parameters: Operating frequency: Reflects the working intensity and refrigeration (heating) capacity output of the compressor. The higher the frequency, the greater the refrigeration (heating) capacity. Suction pressure and temperature: The suction pressure and temperature affect the working efficiency and refrigeration (heating) effect of the compressor. Too low suction pressure may cause poor oil return of the compressor, and too high suction temperature will reduce the refrigeration efficiency. Discharge pressure and temperature: Too high discharge pressure and temperature may indicate that the compressor load is too large or there are problems such as blockage in the system, affecting the performance and safety of the unit.

[0040] Refrigerant state parameters: Refrigerant flow rate: The size of the refrigerant flow rate directly affects the refrigeration (heating) effect. Insufficient flow rate will cause a decrease in refrigeration (heating) capacity, and too large a flow rate may cause compressor overload. Refrigerant pressure: Includes the refrigerant pressure on the high-pressure side and the low-pressure side. Abnormal pressure may be caused by reasons such as system leakage, blockage, or improper refrigerant charge. Refrigerant temperature: The temperature change of the refrigerant at different parts reflects the heat transfer situation of the system. By monitoring the refrigerant temperature, it can be judged whether the system is operating normally.

[0041] Supply water temperature: It refers to the temperature of the hot water or cold water delivered by the unit to the indoor environment. It is an important parameter affecting indoor comfort. Excessive or too low supply water temperature will affect the air-conditioning effect. Return water temperature: The return water temperature reflects the heat dissipation or heat absorption of the indoor terminal equipment. The difference between the return water temperature and the supply water temperature can reflect the system load. Ground source side water temperature: For a ground source heat pump system, the change in the ground source side water temperature affects the heating and cooling efficiency of the unit. Too low water temperature may lead to a decline in the unit performance.

[0042] Further, in Step 2, perform a correlation analysis on the output capacity value-time series and the indoor environmental temperature-time series to determine the first influence coefficient of the output capacity value on the temperature, specifically as follows:

[0043] Step 2.1: Align the output capacity value-time series with the indoor environmental temperature-time series, and remove the time series segments of the non-aligned parts.

[0044] Step 2.2: Calculate the first power spectral density function and the second power spectral density function of the output capacity value-time series and the indoor environmental temperature-time series respectively, analyze the power spectral density peaks of the first power spectral density function and the second power spectral density function, determine the correlation relationship, and obtain the first influence coefficient value.

[0045] By calculating the power spectral density functions of the two time series, the energy distribution of them at different frequencies can be analyzed. If the two time series have similar power spectral density peaks at certain frequencies, it indicates that they have a strong correlation at these frequencies. Then perform a coherence analysis to measure the degree of linear correlation between the two time series at different frequencies. The value range of the coherence function is between [0, 1]. The closer it is to 1, the stronger the correlation at that frequency.

[0046] In Steps 1 and 2 of the present invention, by periodically obtaining the real-time data of the unit conditions and the initial capacity output value, predicting the capacity output value at the next moment and constructing a time series, the system can prospectively understand its own output change trend. This helps to adjust the operation state of the unit in advance, avoid excessive or insufficient capacity output, and thus ensure the efficient and stable operation of the system. For example, adjust the compressor frequency in advance before the load changes to avoid energy waste.

[0047] Predict the indoor temperature at the next moment based on the initial indoor environmental temperature and the outdoor environmental temperature, and construct an indoor environmental temperature-time series. This enables the system to know in advance the change direction and amplitude of the indoor temperature, providing a more accurate basis for formulating control strategies. For example, when it is predicted that the indoor temperature will rise rapidly, increase the cooling capacity output in advance to maintain a comfortable indoor temperature.

[0048] Perform a correlation analysis on the output capacity value - time series and the indoor environmental temperature - time series to determine the first influence coefficient of the output capacity value on temperature, and clarify the quantitative relationship between the system output capacity and the indoor temperature. Then, perform a correlation analysis on the first influence coefficient and the outdoor environmental temperature to determine the second influence coefficient, further revealing the influence degree of outdoor environmental factors on the entire air-to-water heat pump system. Through these two influence coefficients, the system can more deeply understand the interaction between various factors, laying a foundation for formulating scientific and reasonable control strategies.

[0049] Further, in step four, formulate a control strategy for the air-to-water heat pump system according to the first influence coefficient. Specifically: in winter, when the indoor temperature is higher than the set value, reduce the output capacity of the unit according to the first influence coefficient to lower the indoor temperature; conversely, when the indoor temperature is lower than the set value, increase the output capacity of the unit; in summer, when the indoor temperature is lower than the set value, reduce the output capacity of the unit according to the first influence coefficient to lower the indoor temperature; conversely, when the indoor temperature is higher than the set value, increase the output capacity of the unit. Among them, perform a correlation analysis on the output capacity value - time series and the indoor environmental temperature - time series to determine the first influence coefficient of the output capacity value on temperature, which is used to determine the influence of the capacity output of the air-to-water heat pump system on the indoor environmental temperature; perform a correlation analysis on the first influence coefficient and the outdoor environmental temperature to determine the second influence coefficient of the outdoor environment on the air-to-water heat pump system, which is used to further determine the influence of the outdoor temperature on the capacity output of the air-to-water heat pump system and the indoor environmental temperature.

[0050] Further, optimize the control strategy based on the current indoor environmental temperature and the current outdoor environmental temperature to obtain the optimal control strategy. Specifically: according to the first evaluation distance and the second evaluation distance between the historical data group at the same time and the data group at the current moment, use the AI algorithm system to obtain the optimal control parameters of each device of the air-to-water heat pump system, and combine the gradient optimization control algorithm to complete the optimization of the entire air-to-water heat pump system.

[0051] Further, in this embodiment, it also includes constructing a control strategy model, training the control strategy model using historical control strategy data, predicting the future indoor and outdoor environmental temperatures and the system operation status, and formulating corresponding control strategies in advance in combination with the prediction results, the first influence coefficient, and the second influence coefficient.

[0052] Corresponding to Figure 1 the method shown, the present invention also discloses an energy-saving heat exchange control system based on an air-to-water heat pump system for Figure 1 the implementation of the method, and the specific structure is as Figure 2 shown, including:

[0053] Output capacity value - time series module: It is used to periodically obtain the real-time data of the unit conditions corresponding to the air-to-water system and the initial capacity output value, predict the capacity output value at the next moment based on the real-time data of the unit conditions and the initial capacity output value, and construct the output capacity value - time series;

[0054] Indoor environmental temperature - time series module: It is used to periodically obtain the initial indoor environmental temperature and the outdoor environmental temperature of the current environment, predict the indoor temperature at the next moment based on the initial indoor environmental temperature and the outdoor environmental temperature, and construct the indoor environmental temperature - time series;

[0055] First influence coefficient and second influence coefficient determination module: It is used to analyze the correlation between the output capacity value - time series and the indoor environmental temperature - time series, determine the first influence coefficient of the output capacity value on temperature, and perform a correlation analysis on the first influence coefficient and the outdoor environmental temperature to determine the second influence coefficient of the outdoor environment on the air-to-water system;

[0056] Energy-saving heat exchange control module: It is used to formulate a control strategy for the air-to-water system according to the first influence coefficient and the second influence coefficient, optimize the control strategy based on the indoor environmental temperature at the previous moment, the outdoor environmental temperature at the previous moment, the current indoor environmental temperature and the current outdoor environmental temperature, obtain the optimal control strategy, and complete the energy-saving heat exchange control method according to the optimal control strategy.

[0057] Furthermore, in this embodiment, there is also a control strategy model module: It is used to construct a control strategy model, train the control strategy model using historical control strategy data, predict the future indoor and outdoor environmental temperatures and the system operation status, and formulate corresponding control strategies in advance in combination with the prediction results, the first influence coefficient and the second influence coefficient.

[0058] This embodiment finally discloses a computer storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the steps of any one of the energy-saving heat exchange control methods based on the air-to-water system.

[0059] In this specification, each embodiment is described in a progressive manner. The key point of each embodiment is the difference from other embodiments. The same or similar parts among the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method part.

[0060] The foregoing description of the disclosed embodiments enables those skilled in the art to practice or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. An energy-saving heat exchange control method based on a natural fluorine and ground water system, characterized in that: The following steps are involved: Periodically obtain the real-time data of the unit conditions and the initial capacity output value corresponding to the natural fluorine and ground water system, predict the capacity output value at the next moment based on the real-time data of the unit conditions and the initial capacity output value, and construct the output capacity value-time series; Periodically obtain the current environment's initial indoor ambient temperature and outdoor ambient temperature, predict the next moment's indoor temperature based on the initial indoor ambient temperature and outdoor ambient temperature, and construct an indoor ambient temperature-time series; Analyze the correlation between the output capacity value-time series and the indoor environment temperature-time series to determine the first influence coefficient of the output capacity value on the temperature. Analyze the correlation between the first influence coefficient and the outdoor environment temperature to determine the second influence coefficient of the outdoor environment on the natural fluorine and ground water system. A control strategy is formulated for the natural, fluorine and ground water system according to the first influence coefficient and the second influence coefficient. The control strategy is optimized based on the indoor ambient temperature at the previous moment, the outdoor ambient temperature at the previous moment, the current indoor ambient temperature and the current outdoor ambient temperature to obtain the optimal control strategy. The water-saving instruction of the water diversion valve is controlled according to the optimal control strategy.

2. The energy-saving heat exchange control method based on the natural fluorine and ground water system according to claim 1 is characterized in that: The correlation analysis between the output capacity value-time series and the indoor environment temperature-time series was performed to determine the first influence coefficient of the output capacity value on the temperature, as follows: Align the output capacity value-time series with the indoor environment temperature-time series, and remove the non-aligned time series segments; The first power spectral density function and the second power spectral density function of the output capacity value-time series and the indoor environment temperature-time series are calculated respectively, the power spectral density peaks of the first power spectral density function and the second power spectral density function are analyzed, the correlation relationship is determined, and the first influence coefficient value is obtained.

3. The energy-saving heat exchange control method based on the natural fluorine and ground water system according to claim 1 is characterized in that: A control strategy is formulated for the natural fluorine and ground water system according to the first influence coefficient, specifically: in winter, when the indoor temperature is higher than the set value, the output capacity of the unit is reduced according to the first influence coefficient to lower the indoor temperature; conversely, when the indoor temperature is lower than the set value, the output capacity of the unit is increased; in summer, when the indoor temperature is lower than the set value, the output capacity of the unit is reduced according to the first influence coefficient to lower the indoor temperature; conversely, when the indoor temperature is higher than the set value, the output capacity of the unit is increased.

4. The energy-saving heat exchange control method based on the natural fluorine and ground water system according to claim 1 is characterized in that: The real-time data of unit conditions corresponding to the natural fluorine and ground water system include fluorine system data and water system data; among them, the fluorine system data include compressor operating parameters and refrigerant status parameters, and the water system data include supply water temperature, return water temperature and ground source side water temperature.

5. The energy-saving heat exchange control method based on the natural fluorine and ground water system according to claim 1 is characterized in that: The current indoor ambient temperature and the current outdoor ambient temperature are used to optimize the control strategy to obtain the optimal control strategy, specifically: according to the first evaluation distance and the second evaluation distance between the historical data group at the same moment and the data group at the current moment, the AI ​​algorithm system is used to obtain the optimal control parameters of each device in the natural fluorine and ground water system, and the gradient optimization control algorithm is combined to complete the optimization of the entire natural fluorine and ground water system.

6. The energy-saving heat exchange control method based on the natural fluorine and ground water system according to claim 1 is characterized in that: It also includes building a control strategy model, using historical control strategy data to train the control strategy model, predicting future indoor and outdoor ambient temperatures and system operating conditions, and combining the prediction results, the first influence coefficient and the second influence coefficient to formulate corresponding control strategies in advance.

7. An energy-saving heat exchange control system based on a natural fluorine and ground water system, characterized in that: include: Output capacity value-time series module: used to periodically obtain the real-time data of unit conditions and the initial capacity output value corresponding to the natural fluorine and ground water system, predict the capacity output value at the next moment based on the real-time data of unit conditions and the initial capacity output value, and construct the output capacity value-time series; Indoor ambient temperature-time series module: used to periodically obtain the indoor initial ambient temperature and outdoor ambient temperature of the current environment, predict the indoor temperature at the next moment based on the indoor initial ambient temperature and outdoor ambient temperature, and construct the indoor ambient temperature-time series; The first influence coefficient and the second influence coefficient determination module are used to analyze the correlation between the output capacity value-time series and the indoor environment temperature-time series, determine the first influence coefficient of the output capacity value on the temperature, analyze the correlation between the first influence coefficient and the outdoor environment temperature, and determine the second influence coefficient of the outdoor environment on the natural fluorine and ground water system; Energy-saving heat exchange control module: used to formulate a control strategy for the natural fluorine and ground water system based on the first influence coefficient and the second influence coefficient, optimize the control strategy based on the indoor ambient temperature at the previous moment, the outdoor ambient temperature at the previous moment, the current indoor ambient temperature and the current outdoor ambient temperature, obtain the optimal control strategy, and complete the energy-saving heat exchange control method according to the optimal control strategy.

8. The energy-saving heat exchange control system based on the natural fluorine and ground water system according to claim 7 is characterized in that: It also includes a control strategy model module: used to build a control strategy model, use historical control strategy data to train the control strategy model, predict future indoor and outdoor ambient temperatures and system operating conditions, and combine the prediction results, the first influence coefficient and the second influence coefficient to formulate corresponding control strategies in advance.

9. A computer storage medium, characterized in that: The computer storage medium stores a computer program, and when the computer program is executed by the processor, the steps of the energy-saving heat exchange control method based on the natural fluorine and ground water system as described in any one of claims 1 to 6 are implemented.

Images