Control method for a household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system

Abstract

The present invention discloses a control method for a household multi-tank adjustable refrigerant circuit and adjustable water circuit heat pump system, belonging to the technical field of heat pump water heaters; this method includes data collection and processing, data analysis, establishing a prediction model, real-time adjustment, and real-time monitoring and maintenance; by collecting, processing, and analyzing the water usage data of the user in the previous n days, the clustering analysis method is used to identify the user's water usage habits, and then the refrigerant flow model and water flow model of the heat pump system are established. Based on these models, an MPC prediction model is constructed, which combines the prediction results of future water usage requirements, performs rolling prediction and optimization to predict the temperature change of the water tank within a certain period of time in the future and optimize the distribution of refrigerant flow and water flow; by adjusting the water pump and valve in real time, dynamically adjust the refrigerant circuit flow and water circuit flow to achieve the efficient operation of the heat pump system, and at the same time, monitor and maintain the system status in real time to ensure the stability and reliability of the heat pump system.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pump water heaters, and particularly to a control method for a household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system. Background Art

[0002] With the enhancement of energy conservation and environmental protection awareness, household heat pump systems have gradually become a popular choice to replace traditional gas water heaters and boilers. However, at present, most household heat pump water heater systems are limited to a single-tank design, and their fixed fluorine circuit and water circuit configurations are difficult to meet the diverse usage scenarios of users, nor can they be flexibly adjusted according to different user needs, resulting in low energy utilization efficiency and poor user experience. With the improvement of living standards, the household demand for hot water is becoming increasingly diverse, such as the simultaneous need for hot water supply, heating, and special tank heating. Traditional systems are inefficient, have uneven energy distribution, and cannot meet personalized needs when facing multi-demand scenarios. In addition, the application scenarios of several tanks often require different water temperatures and water qualities, and the prior art is difficult to achieve independent control of these requirements, which seriously affects the usage experience and system efficiency. Therefore, there is an urgent need for a heat pump linkage control method that can intelligently and efficiently allocate energy while meeting the needs of different scenarios. Summary of the Invention

[0003] The present invention aims to provide a control method for a household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system, which precisely adjusts the fluorine circuit and water circuit to solve the problems that the water heater in the above background art cannot meet the diverse hot water needs of users and efficiently allocate energy.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A control method for a household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system includes the following steps:

[0006] S1. Data collection and processing

[0007] Use a water consumption measurement module to accurately measure and record the water usage data of several water tanks of the heat pump system for the previous n days of the user. The water usage data includes the water consumption W, water temperature T, and water usage time t of several water tanks.

[0008] The heat pump system includes a heat pump host, several water tanks for different purposes, a fluorine circuit regulating device, a water circuit distribution device, and a control unit; the heat pump host is connected to the several water tanks through the fluorine circuit regulating device and the water circuit distribution device, and transfers heat to the several water tanks through the fluorine circuit; a water consumption metering module is provided at the water outlet of each of the several water tanks, and a first temperature sensor is installed inside each of the several water tanks, and the first temperature sensor is electrically connected to the control unit; the fluorine circuit regulating device includes several solenoid valves and flow control valves; the water circuit distribution device includes multiple water pumps, a second temperature sensor, a flow sensor, and a water circuit switching valve; the control unit includes a main controller and several sub-controllers; the main controller is responsible for receiving the hot water demand and scene usage information of the several water tanks, dynamically adjusting the fluorine circuit flow rate and the temperature and flow rate of the water circuit according to the information, and calculating the adjustment parameters of the several sub-controllers through a linkage control logic; the several sub-controllers are electrically connected to the main controller and receive the adjustment parameters of the main controller; the several sub-controllers correspond to the several water tanks one by one and control the water circuits corresponding to the several water tanks; receive the signals of the first temperature sensor and the flow sensor, and automatically control the water pumps and the water circuit switching valve of the water circuit distribution device according to a preset control algorithm and user requirements;

[0009] The collected water consumption data is automatically uploaded, preprocessed, and stored in the control unit;

[0010] S2. Data analysis

[0011] Use the clustering analysis method to analyze the water consumption data of several water tanks of the user in the previous n days, identify the peak water consumption period, the low valley period, and the user's fixed water consumption habits, and draw the water consumption pattern curve of the user on the current day;

[0012] According to the water consumption pattern curve of the user on the current day, combined with the working principle, physical effects, and historical operation data of the heat pump system, establish a refrigerant flow model and a water flow model of the heat pump system;

[0013] The refrigerant flow model calculates the required refrigerant flow rate Fm of the heat pump system according to the user's water consumption demand, the water tank temperature, and the ambient temperature to achieve the efficient operation of the heat pump system. For example, during the peak water consumption period, according to the large water consumption and water temperature changes, the refrigerant flow rate is adjusted in a timely manner to maintain an appropriate water temperature;

[0014] The calculation formula for the refrigerant flow rate is:

[0015] where Fm is the required refrigerant flow rate of the heat pump system (m3 / h), and a and b are coefficients determined according to the characteristics of the heat pump system, is the rate of decrease in the water tank temperature corresponding to different time periods, W is the water consumption volume (L) during this period, and t is the user's water usage duration (h);

[0016] The water flow model calculates the required water flow Fw of the heat pump system based on the water usage frequency, water consumption volume, and the change in water tank temperature; the water flow model can reasonably adjust the water flow according to the user's water usage habits and temperature requirements to ensure that the water temperature in the water tank can meet the user's needs, while avoiding waste of water resources and energy;

[0017] The water flow calculation formula is as follows:

[0018] where Fw is the required water flow of the heat pump system (m3 / h), W is the water consumption volume (L), T1 is the target water tank temperature (°C), T0 is the initial water tank temperature (°C), c is the specific heat capacity of water (J / (kg·°C)), t is the user's water usage duration (h), ρ is the density of water (kg / m3), q is the heat provided by the heat pump to the hot water system (J), and η is the system efficiency factor;

[0019] S3. Establish a prediction model

[0020] Based on the refrigeration process of the heat pump system, an MPC prediction model including a refrigerant flow model and a water flow model is constructed. The MPC prediction model takes the prediction result of future water usage demand as an important input parameter of the MPC model. The MPC prediction model combines with the system state information of the current water tank temperature, refrigerant flow, and water flow for rolling prediction and optimization, so as to predict the target refrigerant flow, target water flow, and target temperature of the several water tanks within a certain future time; and based on these predictions, an optimal control strategy is found by optimizing the cost function; the MPC cost function is set as:

[0021]

[0022] where N is the prediction horizon, M is the number of water tanks, α, β, γ, δ are weight coefficients, T i (k) is the temperature of the water tank at the k-th moment, T set,i is the set temperature, m w,i (k) is the water flow of the water tank at the k-th moment, m r,i (k) is the refrigerant flow of the water tank at the k-th moment, D k+1 is the predicted value of water usage demand at the (k + 1)-th moment, S k+1 is the water usage volume that the system can provide at the (k + 1)-th moment;

[0023] S4. Real-time adjustment

[0024] The target refrigerant flow rate, target water flow rate, and target temperature obtained according to the MPC prediction model. The control unit monitors the water volume and temperature of the several water tanks in real time according to the control logic, and dynamically adjusts the refrigerant circuit flow rate and water circuit flow rate;

[0025] The refrigerant circuit flow rate dynamically adjusts the opening degree of the flow control valve by comparing the current water temperature Tc of the heat pump system with the target temperature Tt;

[0026] a1. When Tc < Tt, reduce the opening degree of the flow control valve to reduce the refrigerant flow rate;

[0027] a2. When Tc > Tt, increase the opening degree of the flow control valve to increase the refrigerant flow rate;

[0028] The water circuit flow rate dynamically adjusts the rotational speed of the water pump by comparing the current flow rate Fc of the heat pump system with the target flow rate Ft;

[0029] b1. When Fc < Ft, increase the rotational speed of the water pump to increase the flow rate;

[0030] b2. When Fc > Ft, reduce the rotational speed of the water pump to reduce the flow rate;

[0031] S5. Real-time monitoring and maintenance

[0032] The MPC model continuously compares the prediction results under different control strategies, and adjusts the set values of the refrigerant flow rate and water flow rate in real time; at the same time, the heat pump system conducts self-checks regularly, monitors the water tank status and system efficiency in real time, and discovers and processes potential problems in a timely manner.

[0033] Specifically, in step S3, the initial input value of the MPC prediction model where is the average value of the water consumption in each time period, and k is a correction coefficient;

[0034] Furthermore, the method for determining the initial input value of the MPC prediction model is as follows:

[0035] c1. Statistically analyze the water consumption in the same time period of the previous n days; assume that the water consumption in the same time period of the previous n days is W1, W2.....Wn respectively, and calculate the average value of the water consumption in this time period

[0036] c2. Make corrections according to the water consumption that has occurred on the current day; in order to make the prediction more in line with the actual water consumption trend of the current day, assume that the water consumption that has occurred on the current day is Wd, and the correction coefficient where, when Wd is small, a lower limit value can be set according to historical data to avoid abnormal corrections;

[0037] c3. During the operation of the system, as new water usage data is continuously generated, recalculate periodically and k, and then update and optimize the input and results of the prediction model for future water demand to ensure that the prediction results of future water demand are always based on the latest data, thereby improving the accuracy of the prediction.

[0038] In summary, compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] 1. By collecting and analyzing the user's water usage data, using the clustering analysis method to identify the user's water usage habits, accurate refrigerant flow models and water flow models are established. Combining with the MPC prediction model, accurate prediction of future water demand is achieved, and the refrigerant circuit flow and water circuit flow are dynamically adjusted according to the prediction results, thereby ensuring the efficient operation of the heat pump system and improving energy utilization efficiency.

[0040] 2. The control unit dynamically adjusts the opening degrees of the water pump and the valve according to the real-time monitored data to adjust the water circuit flow and the refrigerant circuit flow, ensuring that the heat pump heating is started before the predicted peak water usage period to meet the user's needs. At the same time, the adaptive control of the water circuit flow and the refrigerant circuit flow ensures the efficient and stable operation of the system under various conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a flowchart of the control method for a household multi-tank adjustable refrigerant circuit and adjustable water circuit of the present invention;

[0042] Figure 2 is a structural block diagram of a household multi-tank adjustable refrigerant circuit and adjustable water circuit heat pump system of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0043] The following describes the specific embodiments of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific embodiments given here are only for explaining and illustrating the present invention and cannot be used to limit the present invention.

[0044] It should be noted that many specific details are set forth in the following description to facilitate a full understanding of the present invention. However, the present invention may have other embodiments, and therefore, the protection scope of the present invention is not limited by the specific embodiments disclosed below.

[0045] Combined with the attached Figure 1-2 It can be seen that a control method for a household multi-tank adjustable refrigerant circuit and adjustable water circuit heat pump system includes the following steps:

[0046] S1. Data collection and processing

[0047] Use a water usage metering module to accurately measure and record the water usage data of several water tanks of the user's heat pump system in the previous n days. The water usage data includes the water usage volume W, water usage temperature T, and water usage time t of several water tanks;

[0048] The heat pump system includes a heat pump main unit, several water tanks for different purposes, a fluorine circuit regulating device, a water circuit distribution device, and a control unit; the heat pump main unit is connected to the several water tanks through the fluorine circuit regulating device and the water circuit distribution device, and transfers heat to the several water tanks through the fluorine circuit; a water consumption metering module is provided at the water outlet of each of the several water tanks, and a first temperature sensor is installed inside each of the several water tanks, and the first temperature sensor is electrically connected to the control unit; the fluorine circuit regulating device includes several solenoid valves and flow control valves; the water circuit distribution device includes multiple water pumps, a second temperature sensor, a flow sensor, and a water circuit switching valve; the control unit includes a main controller and several sub-controllers; the main controller is responsible for receiving the hot water demand and scenario usage information of the several water tanks, dynamically adjusting the fluorine circuit flow rate and the temperature and flow rate of the water circuit according to the information, and calculating the adjustment parameters of the several sub-controllers through a linkage control logic; the several sub-controllers are electrically connected to the main controller and receive the adjustment parameters of the main controller; the several sub-controllers correspond to the several water tanks one by one and control the water circuits corresponding to the several water tanks; receive the signals of the first temperature sensor and the flow sensor, and automatically control the water pumps and the water circuit switching valve of the water circuit distribution device according to a preset control algorithm and user requirements;

[0049] In this specific embodiment, the several water tanks are hot water tanks, heating water tanks, and bathing water tanks;

[0050] The collected water consumption data is automatically uploaded and preprocessed and then stored in the control unit;

[0051] S2. Data analysis

[0052] Use the clustering analysis method to analyze the water consumption data of the several water tanks of the user in the previous n days, identify the peak water consumption period, the low valley period, and the user's fixed water usage habits, and draw the water usage pattern curve of the user on the current day;

[0053] According to the water usage pattern curve of the user on the current day, combined with the working principle, physical effects, and historical operation data of the heat pump system, establish a refrigerant flow model and a water flow model of the heat pump system;

[0054] The refrigerant flow model calculates the required refrigerant flow rate Fm of the heat pump system according to the user's water demand, the water tank temperature, and the ambient temperature to achieve the efficient operation of the heat pump system. For example, during the peak water consumption period, according to the large water consumption and water temperature changes, the refrigerant flow rate is adjusted in a timely manner to maintain an appropriate water temperature;

[0055] The calculation formula for the refrigerant flow rate is:

[0056] Among them, Fm is the refrigerant flow rate required by the heat pump system (m3 / h), and a and b are coefficients determined according to the characteristics of the heat pump system. is the water tank temperature drop rate corresponding to different time periods, W is the water consumption volume during this period (L), and t is the user's water usage duration (h).

[0057] The water flow model calculates the water flow rate Fw required by the heat pump system according to the water usage frequency, water consumption volume, and water tank temperature change. The water flow model can reasonably adjust the water flow rate according to the user's water usage habits and temperature requirements, ensuring that the water temperature in the water tank can meet the user's needs while avoiding waste of water resources and energy.

[0058] The water flow calculation formula is as follows:

[0059] Among them, Fw is the water flow rate required by the heat pump system (m3 / h), W is the water consumption volume (L), T1 is the target water tank temperature (°C), T0 is the initial water tank temperature (°C), c is the specific heat capacity of water (J / (kg·°C)), t is the user's water usage duration (h), ρ is the density of water (kg / m3), q is the heat provided by the heat pump to the hot water system (J), and η is the system efficiency factor.

[0060] S3. Establish a prediction model

[0061] Based on the refrigeration process of the heat pump system, an MPC prediction model including a refrigerant flow model and a water flow model is constructed. The MPC prediction model takes the prediction result of future water usage demand as an important input parameter of the MPC model. The MPC prediction model combines with the system state information of the current water tank temperature, refrigerant flow rate, and water flow rate for rolling prediction and optimization, so as to predict the target refrigerant flow rate, target water flow rate, and target temperature of the several water tanks within a certain future time; and based on these predictions, an optimal control strategy is found by optimizing the cost function. The MPC cost function is set as:

[0062]

[0063] Among them, N is the prediction range, M is the number of water tanks, and α, β, γ, δ are weight coefficients, T i (k) is the temperature of the water tank at the k-th moment, T set,i is the set temperature, m w,i (k) is the water flow rate of the water tank at the k-th moment, m r,i (k) is the refrigerant flow rate of the water tank at the k-th moment, D k+1 is the predicted value of the water usage demand at the (k + 1)-th moment, S k+1 is the water usage volume that the system can provide at the (k + 1)-th moment.

[0064] S4. Real-time adjustment

[0065] Based on the target refrigerant flow rate, target water flow rate, and target temperature obtained from the MPC prediction model, the control unit monitors the water volume and temperature of the several water tanks in real time according to the control logic, and dynamically adjusts the refrigerant circuit flow rate and water circuit flow rate;

[0066] The refrigerant circuit flow rate dynamically adjusts the opening degree of the flow control valve by comparing the current water temperature Tc of the heat pump system with the target temperature Tt;

[0067] a1. When Tc < Tt, reduce the opening degree of the flow control valve to reduce the refrigerant flow rate;

[0068] a2. When Tc > Tt, increase the opening degree of the flow control valve to increase the refrigerant flow rate;

[0069] The water circuit flow rate dynamically adjusts the rotational speed of the water pump by comparing the current flow rate Fc of the heat pump system with the target flow rate Ft;

[0070] b1. When Fc < Ft, increase the rotational speed of the water pump to increase the flow rate;

[0071] b2. When Fc > Ft, reduce the rotational speed of the water pump to reduce the flow rate;

[0072] S5. Real-time monitoring and maintenance

[0073] The MPC model continuously compares the prediction results under different control strategies and adjusts the set values of the refrigerant flow rate and water flow rate in real time; at the same time, the heat pump system conducts self-checks regularly, monitors the water tank status and system efficiency in real time, and discovers and processes potential problems in a timely manner.

[0074] Specifically, in step S3, the initial input value of the MPC prediction model wherein, is the average value of the water consumption in each time period, and k is a correction coefficient;

[0075] Furthermore, the method for determining the initial input value of the MPC prediction model is as follows:

[0076] c1. Statistically analyze the water consumption in the same time period of the previous n days; assume that the water consumption in the same time period of the previous n days is W1, W2.....Wn respectively, and calculate the average value of the water consumption in this time period

[0077] c2. Make corrections according to the water consumption that has occurred on the current day; in order to make the prediction more in line with the actual water consumption trend of the current day, assume that the water consumption that has occurred on the current day is Wd, and the correction coefficient wherein, when Wd is small, a lower limit value can be set according to historical data to avoid abnormal corrections;

[0078] c3. During the operation of the system, as new water usage data is continuously generated, recalculate and k regularly, so as to update the input value of the future water demand prediction result.

[0079] In this specific embodiment, the water metering module first records the water consumption, temperature and time of each water tank of the user within one month, and uses clustering analysis to obtain the peak and trough periods of the user's water usage. Subsequently, a refrigerant flow model is established based on these data, and the required refrigerant flow is calculated according to the water consumption, water tank temperature and ambient temperature; at the same time, a water flow model is established, and the required water flow is calculated based on the water usage frequency, water consumption and water tank temperature change; then, an MPC prediction model is constructed, taking the future water demand prediction as the input, and combining the current water tank temperature, refrigerant and water flow states, predicting the target flow and temperature within a certain period of time in the future, and finding the optimal control strategy by optimizing the cost function; in the real-time adjustment stage, the system dynamically adjusts the flow control valve and the pump speed according to the MPC prediction result to ensure that the water temperature meets the requirements and the resources are efficiently utilized; in addition, the system recalculates and updates the water demand prediction value every three hours, and regularly conducts self-checks and monitoring to ensure stable operation; when it is the peak heating period in winter, the system can automatically increase the refrigerant flow, raise the temperature of the heating water tank, and at the same time reduce the refrigerant supply to the bathing water tank to achieve intelligent energy saving.

[0080] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the present invention is not limited to the described embodiments. For those skilled in the art, without departing from the principle and spirit of the present invention, various changes, modifications, substitutions and variations made to these embodiments still fall within the protection scope of the present invention.

Claims

1. A control method for a household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system, characterized in that, It includes the following steps: S1. Data collection and processing Use a water metering module to accurately measure and record the water usage data of several water tanks in the heat pump system for the user's previous n days. The water usage data includes the water consumption W, water temperature T, and water usage time t of several water tanks; The heat pump system includes a heat pump host, several water tanks for different purposes, a fluorine circuit regulating device, a water circuit distribution device, and a control unit; the heat pump host is connected to the several water tanks through the fluorine circuit regulating device and the water circuit distribution device, and conveys heat to the several water tanks through the fluorine circuit; the water metering module is provided at the water outlet of each of the several water tanks, and a first temperature sensor is installed inside each of the several water tanks, and the first temperature sensor is electrically connected to the control unit; the fluorine circuit regulating device includes several solenoid valves and flow control valves; the water circuit distribution device includes multiple water pumps, a second temperature sensor, a flow sensor, and a water circuit switching valve; the control unit includes a main controller and several sub-controllers; the main controller is responsible for receiving the hot water demand and scenario usage information of the several water tanks, dynamically adjusting the fluorine circuit flow rate and the temperature and flow rate of the water circuit according to the information, and calculating the adjustment parameters of the several sub-controllers through a linkage control logic; the several sub-controllers are electrically connected to the main controller and receive the adjustment parameters of the main controller; the several sub-controllers correspond to the several water tanks one by one and control the water circuits corresponding to the several water tanks; receive the signals of the first temperature sensor and the flow sensor, and automatically control the water pumps and the water circuit switching valve of the water circuit distribution device according to a preset control algorithm and user requirements; The collected water usage data is automatically uploaded, preprocessed, and stored in the control unit; S2. Data analysis Use the clustering analysis method to analyze the water usage data of several water tanks for the user's previous n days, identify the peak water usage period, low water usage period, and the user's fixed water usage habits, and draw the water usage pattern curve of the user on the current day; According to the water usage pattern curve of the user on the current day, combined with the working principle, physical effects, and historical operation data of the heat pump system, establish a refrigerant flow model and a water flow model of the heat pump system; The refrigerant flow model calculates the refrigerant flow rate Fm required by the heat pump system according to the user's water usage demand, water tank temperature, and ambient temperature, The calculation formula for the refrigerant flow rate is as follows: Among them, Fm is the refrigerant flow rate required by the heat pump system (m3 / h), and a and b are coefficients determined according to the characteristics of the heat pump system. is the water tank temperature drop rate corresponding to different time periods, W is the water consumption in this time period (L), and t is the user's water use duration (h). The water flow model calculates the water flow rate Fw required by the heat pump system according to the water usage frequency, water consumption, and the change of the water tank temperature; The water flow rate calculation formula is as follows: Among them, F w is the water flow rate (m3 / h) required by the heat pump system, W is the water consumption (L), T1 is the target temperature of the water tank (°C), T0 is the initial temperature of the water tank (°C), c is the specific heat capacity of water (J / (kg·°C)), t is the user's water usage duration (h), ρ is the density of water (kg / m3), q is the heat provided by the heat pump to the hot water system (J), and η is the system efficiency factor; S3. Establish a prediction model Based on the refrigeration process of the heat pump system, construct an MPC prediction model including a refrigerant flow model and a water flow model. The prediction result of the future water usage demand is used as an important input parameter of the MPC model. The MPC prediction model is combined with the system state information of the current water tank temperature, refrigerant flow rate, and water flow rate for rolling prediction and optimization, so as to predict the target refrigerant flow rate, target water flow rate, and target temperature of the several water tanks within a certain future time; and based on these predictions, find the optimal control strategy by optimizing the cost function; set the MPC cost function as: Wherein, N is the prediction range, M is the number of water tanks, α, β, γ, δ are weight coefficients, and T i (k) is the temperature of the water tank at the k-th moment, and T set,i is the set temperature, m w,i (k) is the water flow rate of the water tank at the k-th moment, and m r,i (k) is the refrigerant flow rate of the water tank at the k-th moment, D k+1 is the predicted value of the water demand at the (k + 1)-th moment, S k+1 is the water supply capacity that the system can provide at the (k + 1)-th moment; S4. Real-time adjustment Based on the target refrigerant flow rate, target water flow rate, and target temperature obtained from the MPC prediction model, the control unit monitors the water volume and temperature of the several water tanks in real time according to the control logic, and dynamically adjusts the refrigerant circuit flow rate and the water circuit flow rate; The refrigerant circuit flow rate dynamically adjusts the opening degree of the flow control valve by comparing the current water temperature Tc of the heat pump system with the target temperature Tt; a1. When Tc < Tt, reduce the opening degree of the flow control valve to reduce the refrigerant flow rate; a2. When Tc > Tt, increase the opening degree of the flow control valve to increase the refrigerant flow rate; The water circuit flow rate dynamically adjusts the rotational speed of the water pump by comparing the current flow rate Fc of the heat pump system with the target flow rate Ft; b1. When Fc < Ft, increase the rotational speed of the water pump to increase the flow rate; b2. When Fc > Ft, reduce the rotational speed of the water pump to reduce the flow rate; S5. Real-time monitoring and maintenance The MPC model continuously compares the prediction results under different control strategies, and adjusts the set values of the refrigerant flow rate and the water flow rate in real time; at the same time, the heat pump system conducts self-checks regularly, monitors the water tank status and system efficiency in real time, and discovers and processes potential problems in a timely manner.

2. The control method of the household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system according to claim 1, characterized in that, In step S3, the initial input value of the MPC prediction model wherein is the average water consumption in each period, and k is a correction coefficient.

3. The control method of the household multi-tank adjustable fluorine circuit and adjustable water circuit heat pump system according to claim 2, characterized in that, The method for determining the initial input value of the MPC prediction model is as follows: c1. Statistically analyze the water consumption in the same period of the previous n days; assume that the water consumption in the same period of the previous n days is W1, W2.....Wn respectively, and calculate the average value of the water consumption in this period c2. Correct according to the water consumption that has occurred on the same day; assuming that the water consumption that has occurred on the same day is Wd, the correction coefficient c3. During the operation of the system, as new water usage data is continuously generated, recalculate and k regularly, and then update and optimize the input and results of the prediction model for future water demand.

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