Collaborative Control System and Method for Heat Pump Systems Based on Dynamic Return Gas Superheat Regulation

Abstract

This invention provides a collaborative control system and method for a heat pump system based on dynamic return gas superheat adjustment. By real-time monitoring and acquisition of various operating and environmental parameters of the heat pump system, a parameter basis is provided for collaborative control. Based on these operating parameters, the actual and target return gas superheat are calculated. Furthermore, based on external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined, providing data relationships for collaborative control. A fuzzy control table for the electronic expansion valve is generated based on this correspondence. According to the fuzzy control table, and based on the relationship between the actual and target return gas superheat, the adjustment value of the electronic expansion valve is determined, achieving dynamic adjustment of the return gas superheat. This enables overall optimized control of the heat pump system, ensuring its efficient and stable operation.

Description

Technical Field

[0001] This invention relates to the field of heat pump control technology, and in particular to a collaborative control system and method for a heat pump system based on dynamic return gas superheat adjustment. Background Technology

[0002] Return gas superheat is crucial for the control of heat pump systems. It involves several technical issues, including the generation, measurement, and control methods of return gas superheat. Return gas superheat refers to the difference between the compressor outlet temperature and the evaporation temperature, and this temperature difference has a direct impact on the efficiency and performance of the heat pump system.

[0003] High-pressure protection in an air source heat pump system is a protective mechanism to prevent the compressor from being damaged by excessive pressure. To resolve high-pressure protection failures, it is necessary to understand the cause of the high pressure. For example, excessive return gas superheat may damage the compressor and the system. Therefore, properly controlling the return gas superheat is crucial to avoiding system failures.

[0004] In summary, return gas superheat is not only an important parameter in the design of heat pump systems, but also a key indicator in system operation and control. The efficient and stable operation of heat pump systems is inseparable from the optimized control of return gas superheat. Summary of the Invention

[0005] This invention provides a collaborative control system and method for a heat pump system based on dynamic return gas superheat adjustment, in order to solve the problems mentioned in the background art.

[0006] A collaborative control system for a heat pump system based on dynamic return gas superheat regulation, comprising:

[0007] The monitoring and acquisition module is used to monitor and acquire various operating parameters of the heat pump system in real time, and to monitor and acquire environmental parameters of the external environment of the heat pump system in real time.

[0008] The calculation and analysis module is used to calculate the actual return gas superheat and the target return gas superheat based on various operating parameters of the heat pump system, and to determine the correspondence between the actual return gas superheat and the environmental parameters based on external environmental parameters.

[0009] The control generation module is used to generate a fuzzy control table for the electronic expansion valve based on the correspondence between the actual return gas superheat and environmental parameters, combined with the control parameters of the electronic expansion valve.

[0010] The adjustment determination module is used to determine the adjustment value of the electronic expansion valve according to the fuzzy control table and based on the relationship between the actual return gas superheat and the target return gas superheat.

[0011] Preferably, the monitoring and acquisition module includes:

[0012] The monitoring unit is used to monitor the operating status of various sensors in the heat pump system in real time and determine whether any abnormality has occurred in the sensors based on the monitoring results.

[0013] The data acquisition unit is used to issue early warnings when any sensor malfunctions, and to collect data from any sensor when no malfunctions are detected.

[0014] The preprocessing unit is used to preprocess the acquired sensor data to obtain various operating parameters.

[0015] Preferably, the monitoring and acquisition module further includes:

[0016] The second monitoring unit is used to monitor the operating status of external sensors in the external environment of the heat pump system in real time, and to determine whether the external sensors are abnormal based on the monitoring results.

[0017] The second acquisition unit is used to issue early warnings when an external sensor malfunctions, and to acquire data from the external sensor when no malfunction occurs.

[0018] The second preprocessing unit is used to preprocess the acquired external sensor data to obtain environmental parameters of the external environment.

[0019] Preferably, the calculation and analysis module includes:

[0020] The first calculation unit is used to obtain the difference between the exhaust temperature and the return gas pressure saturation temperature from various operating parameters of the heat pump system as the actual return gas superheat.

[0021] The second calculation unit is used to obtain the target return gas superheat based on a preset calculation method and various operating parameters of the heat pump system.

[0022] Preferably, the calculation and analysis module further includes:

[0023] The environment determination unit is used to obtain the external environmental temperature and humidity from the external environmental parameters, and to obtain the environmental change sequence of the external environmental temperature and humidity according to the preset time characteristics.

[0024] The superheat determination unit is used to obtain the superheat change sequence of the actual return gas superheat according to the preset time characteristics.

[0025] The matching unit is used to match the superheat change sequence and the environmental change sequence according to the preset time characteristics to obtain the correspondence between the actual return gas superheat and the environmental parameters.

[0026] Preferably, the control generation module includes:

[0027] The first determining unit is used to obtain a sequence of differences between the actual return gas superheat and environmental parameters from the correspondence between the actual return gas superheat and environmental parameters, and to obtain a first rate of change of difference based on the sequence of differences;

[0028] The second determining unit is used to obtain the change sequence of the target return gas superheat based on the actual return gas superheat and the changes in environmental parameters, and to obtain the second difference change rate based on the difference sequence between the target return gas superheat and the environmental parameters.

[0029] The fuzzy determination unit is used to fuzzify the target return gas superheat under specific external environmental parameters based on the second difference change rate, so as to obtain the initial fuzzy set corresponding to the target return gas superheat.

[0030] The correction unit is used to determine the correction weight based on the difference relationship between the first difference change rate and the second difference change rate, and to correct the initial fuzzy set based on the correction weight to obtain the target fuzzy set;

[0031] The optimal determination unit is used to select the fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return gas superheat under specific external environmental parameters.

[0032] The fuzzy control determination unit is used to determine the initial control parameters of the electronic expansion valve based on the relationship between the actual return gas superheat and the target return gas superheat, and to generate a fuzzy control table for the electronic expansion valve based on the optimal target return gas superheat.

[0033] Preferably, the fuzzy control determination unit includes:

[0034] The parameter determination unit is used to determine the initial control parameters for the electronic expansion valve based on the difference between the actual return gas superheat and the target return gas superheat, combined with the current parameters of the electronic expansion valve.

[0035] The difference determination unit is used to determine the parameter control difference of the electronic expansion valve based on the difference between the standard return gas superheat and the optimal target return gas superheat, and to determine the fuzzy control parameters of the electronic expansion valve based on the parameter control difference and the initial control parameters.

[0036] The generation unit is used to generate a fuzzy control table for the electronic expansion valve based on the fuzzy control parameters.

[0037] Preferably, the adjustment determination module includes:

[0038] The matching selection unit is used to obtain the matching target control parameters from the fuzzy control table based on the relationship between the actual return gas superheat and the target return gas superheat, combined with the current external environmental parameters and the current parameters of the electronic expansion valve.

[0039] The adjustment determination unit is used to determine the adjustment value of the electronic expansion valve based on the target control parameters.

[0040] A control method for a heat pump system collaborative control system based on dynamic return gas superheat regulation includes:

[0041] S1: Real-time monitoring and acquisition of various operating parameters of the heat pump system, and real-time monitoring and acquisition of environmental parameters of the external environment of the heat pump system;

[0042] S2: Based on the various operating parameters of the heat pump system, the actual return gas superheat and the target return gas superheat are calculated, and based on the external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined.

[0043] S3: Based on the correspondence between the actual return gas superheat and environmental parameters, and combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated.

[0044] S4: Based on the relationship between the actual return gas superheat and the target return gas superheat, determine the adjustment value of the electronic expansion valve according to the fuzzy control table.

[0045] Preferably, in step S3, based on the correspondence between the actual return gas superheat and environmental parameters, and combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated, including:

[0046] Obtain the difference sequence between the actual return gas superheat and the environmental parameters from the correspondence between the actual return gas superheat and the environmental parameters, and obtain the first difference change rate based on the difference sequence;

[0047] Based on the actual return gas superheat and the changes in environmental parameters, a change sequence of the target return gas superheat is obtained, and a second difference change rate is obtained based on the difference sequence between the target return gas superheat and the environmental parameters.

[0048] Based on the first difference change rate, the target return gas superheat is fuzzified under specific external environmental parameters to obtain the initial fuzzy set corresponding to the target return gas superheat.

[0049] Based on the difference relationship between the first difference change rate and the second difference change rate, a correction weight is determined, and the initial fuzzy set is corrected based on the correction weight to obtain the target fuzzy set;

[0050] The fuzzy quantity with the largest membership degree is selected from the target fuzzy set as the optimal target return gas superheat under specific external environmental parameters;

[0051] Based on the relationship between the actual return gas superheat and the target return gas superheat, the initial control parameters for the electronic expansion valve are determined, and a fuzzy control table for the electronic expansion valve is generated based on the optimal target return gas superheat.

[0052] Compared with the prior art, the present invention has achieved the following beneficial effects:

[0053] By real-time monitoring and acquisition of various operating parameters of the heat pump system, as well as environmental parameters of the external environment, a parameter basis is provided for the coordinated control of the heat pump system. Based on the operating parameters of the heat pump system, the actual return gas superheat and target return gas superheat are calculated. Based on the external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined, providing data relationship information for the coordinated control of the heat pump system. Based on the correspondence between the actual return gas superheat and the environmental parameters, combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated. According to the fuzzy control table, based on the relationship between the actual return gas superheat and the target return gas superheat, the adjustment value of the electronic expansion valve is determined, realizing dynamic adjustment of the return gas superheat, achieving overall optimized control of the heat pump system, and ensuring the efficient and stable operation of the heat pump system.

[0054] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in this application.

[0055] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0056] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings:

[0057] Figure 1 This is a structural diagram of a heat pump system collaborative control system based on dynamic return gas superheat adjustment in an embodiment of the present invention;

[0058] Figure 2 This is a structural diagram of the monitoring and acquisition module described in this embodiment of the invention;

[0059] Figure 3 This is a flowchart of a collaborative control method for a heat pump system based on dynamic return gas superheat adjustment in an embodiment of the present invention. Detailed Implementation

[0060] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0061] Example 1:

[0062] This invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat adjustment, such as... Figure 1 As shown, it includes:

[0063] The monitoring and acquisition module is used to monitor and acquire various operating parameters of the heat pump system in real time, and to monitor and acquire environmental parameters of the external environment of the heat pump system in real time.

[0064] The calculation and analysis module is used to calculate the actual return gas superheat and the target return gas superheat based on various operating parameters of the heat pump system, and to determine the correspondence between the actual return gas superheat and the environmental parameters based on external environmental parameters.

[0065] The control generation module is used to generate a fuzzy control table for the electronic expansion valve based on the correspondence between the actual return gas superheat and environmental parameters, combined with the control parameters of the electronic expansion valve.

[0066] The adjustment determination module is used to determine the adjustment value of the electronic expansion valve according to the fuzzy control table and based on the relationship between the actual return gas superheat and the target return gas superheat.

[0067] In this embodiment, the operating parameters of the heat pump system include return gas pressure and return gas temperature.

[0068] In this embodiment, the environmental parameters of the external environment include ambient temperature and ambient humidity.

[0069] In this embodiment, when the actual return gas superheat is greater than the target return gas superheat, the electronic expansion valve is closed slightly, and the specific value is determined according to the fuzzy control table. When the actual return gas superheat is less than the target return gas superheat, the electronic expansion valve is opened wider, and the specific value is determined according to the fuzzy control table.

[0070] In this embodiment, the fuzzy control table of the electronic expansion valve is the difference between the actual return gas superheat and the target return gas superheat, as well as the adjustment value of the electronic expansion valve under the environmental parameters.

[0071] The beneficial effects of the above design scheme are as follows: By real-time monitoring and acquisition of various operating parameters of the heat pump system, and real-time monitoring and acquisition of environmental parameters of the external environment of the heat pump system, a parameter basis is provided for the coordinated control of the heat pump system. Based on the various operating parameters of the heat pump system, the actual return gas superheat and target return gas superheat are calculated. Based on the external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined, providing data relationship information for the coordinated control of the heat pump system. Based on the correspondence between the actual return gas superheat and the environmental parameters, combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated. According to the fuzzy control table, based on the relationship between the actual return gas superheat and the target return gas superheat, the adjustment value of the electronic expansion valve is determined, realizing dynamic adjustment of the return gas superheat, achieving overall optimized control of the heat pump system, and ensuring the efficient and stable operation of the heat pump system.

[0072] Example 2:

[0073] Based on Example 1, a collaborative control system for a heat pump system based on dynamic return gas superheat regulation is provided, such as... Figure 2 As shown, the monitoring and acquisition module includes:

[0074] The monitoring unit is used to monitor the operating status of various sensors in the heat pump system in real time and determine whether any abnormality has occurred in the sensors based on the monitoring results.

[0075] The data acquisition unit is used to issue early warnings when any sensor malfunctions, and to collect data from any sensor when no malfunctions are detected.

[0076] The preprocessing unit is used to preprocess the acquired sensor data to obtain various operating parameters.

[0077] The beneficial effects of the above design scheme are as follows: by monitoring the operating status of various sensors of the heat pump system in real time, it is determined whether any abnormality has occurred in each sensor based on the monitoring results. When any abnormality occurs in any sensor, an early warning is issued. When no abnormality occurs in any sensor, data is collected from each sensor to ensure the accuracy of the data collection. The collected sensor data is preprocessed to obtain various operating parameters, providing a basis for the coordinated control of the heat pump system.

[0078] Example 3:

[0079] Based on Embodiment 2, this embodiment of the invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat adjustment, wherein the monitoring and acquisition module further includes:

[0080] The second monitoring unit is used to monitor the operating status of external sensors in the external environment of the heat pump system in real time, and to determine whether the external sensors are abnormal based on the monitoring results.

[0081] The second acquisition unit is used to issue early warnings when an external sensor malfunctions, and to acquire data from the external sensor when no malfunction occurs.

[0082] The second preprocessing unit is used to preprocess the acquired external sensor data to obtain environmental parameters of the external environment.

[0083] The beneficial effects of the above design scheme are as follows: by real-time monitoring of the operating status of external sensors in the external environment of the heat pump system, the system determines whether the external sensors are abnormal based on the monitoring results. When an external sensor is abnormal, an early warning is issued. When no external sensor is abnormal, data is collected from the external sensor to ensure the accuracy of the data collection. The collected external sensor data is preprocessed to obtain the environmental parameters of the external environment, providing an environmental parameter basis for the coordinated control of the heat pump system.

[0084] Example 4:

[0085] Based on Example 1, this embodiment of the invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat adjustment. The calculation and analysis module includes:

[0086] The first calculation unit is used to obtain the difference between the exhaust temperature and the return gas pressure saturation temperature from various operating parameters of the heat pump system as the actual return gas superheat.

[0087] The second calculation unit is used to obtain the target return gas superheat based on a preset calculation method and various operating parameters of the heat pump system.

[0088] In this embodiment, the preset calculation method is Tes=To-x*△t1 / b, where Tes represents the target value of return gas pressure saturation temperature, To represents the liquid supply temperature value, △t1 represents the ambient temperature difference, and b is generally taken as 10.

[0089] The beneficial effects of the above design scheme are: by obtaining the difference between the exhaust temperature and the return gas pressure saturation temperature from various operating parameters of the heat pump system as the actual return gas superheat, and by combining the target return gas superheat with various operating parameters of the heat pump system according to the preset calculation method, data information is provided for the coordinated control of the heat pump system.

[0090] Example 5:

[0091] Based on Example 4, this embodiment of the invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat regulation. The calculation and analysis module further includes:

[0092] The environment determination unit is used to obtain the external environmental temperature and humidity from the external environmental parameters, and to obtain the environmental change sequence of the external environmental temperature and humidity according to the preset time characteristics.

[0093] The superheat determination unit is used to obtain the superheat change sequence of the actual return gas superheat according to the preset time characteristics.

[0094] The matching unit is used to match the superheat change sequence and the environmental change sequence according to the preset time characteristics to obtain the correspondence between the actual return gas superheat and the environmental parameters.

[0095] The beneficial effect of the above design scheme is that by matching the superheat change sequence and the environmental change sequence according to the preset time characteristics, the correspondence between the actual return gas superheat and environmental parameters is obtained, providing data relationship information for the coordinated control of the heat pump system.

[0096] Example 6:

[0097] Based on Embodiment 1, this embodiment of the invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat adjustment. The control generation module includes:

[0098] The first determining unit is used to obtain a sequence of differences between the actual return gas superheat and environmental parameters from the correspondence between the actual return gas superheat and environmental parameters, and to obtain a first rate of change of difference based on the sequence of differences;

[0099] The second determining unit is used to obtain the change sequence of the target return gas superheat based on the actual return gas superheat and the changes in environmental parameters, and to obtain the second difference change rate based on the difference sequence between the target return gas superheat and the environmental parameters.

[0100] The fuzzy determination unit is used to fuzzify the target return gas superheat under specific external environmental parameters based on the second difference change rate, so as to obtain the initial fuzzy set corresponding to the target return gas superheat.

[0101] The correction unit is used to determine the correction weight based on the difference relationship between the first difference change rate and the second difference change rate, and to correct the initial fuzzy set based on the correction weight to obtain the target fuzzy set;

[0102] The optimal determination unit is used to select the fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return gas superheat under specific external environmental parameters.

[0103] The fuzzy control determination unit is used to determine the initial control parameters of the electronic expansion valve based on the relationship between the actual return gas superheat and the target return gas superheat, and to generate a fuzzy control table for the electronic expansion valve based on the optimal target return gas superheat.

[0104] In this embodiment, fuzzifying the target return gas superheat under specific external environmental parameters specifically involves determining the fluctuation range of the target return gas superheat based on the second difference change rate, and using the fluctuation range as the initial fuzzy set.

[0105] In this embodiment, the smaller the difference between the first rate of change and the second rate of change, the smaller the corresponding correction weight.

[0106] In this embodiment, the fuzzy control table of the electronic expansion valve determines the adjustment value of the electronic expansion valve based on the difference between the optimal target return gas superheat and the actual return gas superheat, and with reference to environmental parameters.

[0107] The beneficial effects of the above design scheme are as follows: by starting from the actual return gas superheat, the target return gas superheat, and environmental parameters, and combining fuzzy control, a fuzzy control table for the electronic expansion valve is finally obtained. According to the fuzzy control table, the electronic expansion valve can be controlled in real time and accurately, the return gas superheat can be dynamically adjusted, the overall optimization control of the heat pump system can be achieved, and the efficient and stable operation of the heat pump system can be guaranteed.

[0108] Example 7:

[0109] Based on Embodiment 1, this embodiment of the invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat adjustment, wherein the fuzzy control determination unit includes:

[0110] The parameter determination unit is used to determine the initial control parameters for the electronic expansion valve based on the difference between the actual return gas superheat and the target return gas superheat, combined with the current parameters of the electronic expansion valve.

[0111] The difference determination unit is used to determine the parameter control difference of the electronic expansion valve based on the difference between the standard return gas superheat and the optimal target return gas superheat, and to determine the fuzzy control parameters of the electronic expansion valve based on the parameter control difference and the initial control parameters.

[0112] The generation unit is used to generate a fuzzy control table for the electronic expansion valve based on the fuzzy control parameters.

[0113] The beneficial effects of the above design scheme are as follows: by determining the difference between the standard return gas superheat and the optimal target return gas superheat, the parameter control difference of the electronic expansion valve is determined; based on the parameter control difference and the initial control parameters, the fuzzy control parameters of the electronic expansion valve are determined; and based on the fuzzy control parameters, a fuzzy control table for the electronic expansion valve is generated, ensuring the accuracy of the obtained fuzzy control table of the electronic expansion valve and providing a basis for dynamically adjusting the return gas superheat.

[0114] Example 8:

[0115] Based on Embodiment 1, this embodiment of the invention provides a collaborative control system for a heat pump system based on dynamic return gas superheat adjustment, wherein the adjustment determination module includes:

[0116] The matching selection unit is used to obtain the matching target control parameters from the fuzzy control table based on the relationship between the actual return gas superheat and the target return gas superheat, combined with the current external environmental parameters and the current parameters of the electronic expansion valve.

[0117] The adjustment determination unit is used to determine the adjustment value of the electronic expansion valve based on the target control parameters.

[0118] The beneficial effects of the above design scheme are: to achieve real-time and precise control of the electronic expansion valve according to the fuzzy control table, to achieve dynamic adjustment of the return gas superheat, to achieve overall optimized control of the heat pump system, and to ensure the efficient and stable operation of the heat pump system.

[0119] Example 9:

[0120] Based on Example 1, this embodiment of the invention provides a control method for a heat pump system collaborative control system based on dynamic return gas superheat adjustment, such as... Figure 3 As shown, it includes:

[0121] S1: Real-time monitoring and acquisition of various operating parameters of the heat pump system, and real-time monitoring and acquisition of environmental parameters of the external environment of the heat pump system;

[0122] S2: Based on the various operating parameters of the heat pump system, the actual return gas superheat and the target return gas superheat are calculated, and based on the external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined.

[0123] S3: Based on the correspondence between the actual return gas superheat and environmental parameters, and combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated.

[0124] S4: Based on the relationship between the actual return gas superheat and the target return gas superheat, determine the adjustment value of the electronic expansion valve according to the fuzzy control table.

[0125] In this embodiment, the operating parameters of the heat pump system include return gas pressure and return gas temperature.

[0126] In this embodiment, the environmental parameters of the external environment include ambient temperature and ambient humidity.

[0127] In this embodiment, when the actual return gas superheat is greater than the target return gas superheat, the electronic expansion valve is closed slightly, and the specific value is determined according to the fuzzy control table. When the actual return gas superheat is less than the target return gas superheat, the electronic expansion valve is opened wider, and the specific value is determined according to the fuzzy control table.

[0128] In this embodiment, the fuzzy control table of the electronic expansion valve is the difference between the actual return gas superheat and the target return gas superheat, as well as the adjustment value of the electronic expansion valve under the environmental parameters.

[0129] The beneficial effects of the above design scheme are as follows: By real-time monitoring and acquisition of various operating parameters of the heat pump system, and real-time monitoring and acquisition of environmental parameters of the external environment of the heat pump system, a parameter basis is provided for the coordinated control of the heat pump system. Based on the various operating parameters of the heat pump system, the actual return gas superheat and target return gas superheat are calculated. Based on the external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined, providing data relationship information for the coordinated control of the heat pump system. Based on the correspondence between the actual return gas superheat and the environmental parameters, combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated. According to the fuzzy control table, based on the relationship between the actual return gas superheat and the target return gas superheat, the adjustment value of the electronic expansion valve is determined, realizing dynamic adjustment of the return gas superheat, achieving overall optimized control of the heat pump system, and ensuring the efficient and stable operation of the heat pump system.

[0130] Example 10:

[0131] Based on Example 9, this embodiment of the invention provides a collaborative control method for a heat pump system based on dynamic return gas superheat adjustment. In step S3, based on the correspondence between the actual return gas superheat and environmental parameters, and combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated, including:

[0132] Obtain the difference sequence between the actual return gas superheat and the environmental parameters from the correspondence between the actual return gas superheat and the environmental parameters, and obtain the first difference change rate based on the difference sequence;

[0133] Based on the actual return gas superheat and the changes in environmental parameters, a change sequence of the target return gas superheat is obtained, and a second difference change rate is obtained based on the difference sequence between the target return gas superheat and the environmental parameters.

[0134] Based on the first difference change rate, the target return gas superheat is fuzzified under specific external environmental parameters to obtain the initial fuzzy set corresponding to the target return gas superheat.

[0135] Based on the difference relationship between the first difference change rate and the second difference change rate, a correction weight is determined, and the initial fuzzy set is corrected based on the correction weight to obtain the target fuzzy set;

[0136] The fuzzy quantity with the largest membership degree is selected from the target fuzzy set as the optimal target return gas superheat under specific external environmental parameters;

[0137] Based on the relationship between the actual return gas superheat and the target return gas superheat, the initial control parameters for the electronic expansion valve are determined, and a fuzzy control table for the electronic expansion valve is generated based on the optimal target return gas superheat.

[0138] In this embodiment, fuzzifying the target return gas superheat under specific external environmental parameters specifically involves determining the fluctuation range of the target return gas superheat based on the second difference change rate, and using the fluctuation range as the initial fuzzy set.

[0139] In this embodiment, the smaller the difference between the first rate of change and the second rate of change, the smaller the corresponding correction weight.

[0140] In this embodiment, the fuzzy control table of the electronic expansion valve determines the adjustment value of the electronic expansion valve based on the difference between the optimal target return gas superheat and the actual return gas superheat, and with reference to environmental parameters.

[0141] The beneficial effects of the above design scheme are as follows: by starting from the actual return gas superheat, the target return gas superheat, and environmental parameters, and combining fuzzy control, a fuzzy control table for the electronic expansion valve is finally obtained. According to the fuzzy control table, the electronic expansion valve can be controlled in real time and accurately, the return gas superheat can be dynamically adjusted, the overall optimization control of the heat pump system can be achieved, and the efficient and stable operation of the heat pump system can be guaranteed.

[0142] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of this application and its equivalents, this invention also intends to include these modifications and variations.

Claims

1. A collaborative control system for a heat pump system based on dynamic return gas superheat regulation, characterized in that, include: The monitoring and acquisition module is used to monitor and acquire various operating parameters of the heat pump system in real time, and to monitor and acquire environmental parameters of the external environment of the heat pump system in real time. The calculation and analysis module is used to calculate the actual return gas superheat and the target return gas superheat based on various operating parameters of the heat pump system, and to determine the correspondence between the actual return gas superheat and environmental parameters based on external environmental parameters, including: The first calculation unit is used to obtain the difference between the return gas temperature and the return gas pressure saturation temperature from various operating parameters of the heat pump system as the actual return gas superheat. The second calculation unit is used to obtain the target return gas superheat based on the preset calculation method and various operating parameters of the heat pump system. The environment determination unit is used to obtain the external environmental temperature and humidity from the external environmental parameters, and to obtain the environmental change sequence of the external environmental temperature and humidity according to the preset time characteristics. The superheat determination unit is used to obtain the superheat change sequence of the actual return gas superheat according to the preset time characteristics. A matching unit is used to match the superheat change sequence and the environmental change sequence according to the preset time characteristics to obtain the correspondence between the actual return gas superheat and the environmental parameters. The control generation module is used to generate a fuzzy control table for the electronic expansion valve based on the correspondence between the actual return gas superheat and environmental parameters, combined with the control parameters of the electronic expansion valve. This table includes: The first determining unit is used to obtain a sequence of differences between the actual return gas superheat and environmental parameters from the correspondence between the actual return gas superheat and environmental parameters, and to obtain a first rate of change of difference based on the sequence of differences; The second determining unit is used to obtain the change sequence of the target return gas superheat based on the actual return gas superheat and the changes in environmental parameters, and to obtain the second difference change rate based on the difference sequence between the target return gas superheat and the environmental parameters. The fuzzy determination unit is used to fuzzify the target return gas superheat under specific external environmental parameters based on the second difference change rate, so as to obtain the initial fuzzy set corresponding to the target return gas superheat. The correction unit is used to determine the correction weight based on the difference relationship between the first difference change rate and the second difference change rate, and to correct the initial fuzzy set based on the correction weight to obtain the target fuzzy set; The optimal determination unit is used to select the fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return gas superheat under specific external environmental parameters. The fuzzy control determination unit is used to determine the initial control parameters of the electronic expansion valve based on the relationship between the actual return gas superheat and the target return gas superheat, and to generate a fuzzy control table for the electronic expansion valve based on the optimal target return gas superheat. The adjustment determination module is used to determine the adjustment value of the electronic expansion valve according to the fuzzy control table and based on the relationship between the actual return gas superheat and the target return gas superheat.

2. The collaborative control system for a heat pump system based on dynamic return gas superheat regulation according to claim 1, characterized in that, The monitoring and acquisition module includes: The monitoring unit is used to monitor the operating status of various sensors in the heat pump system in real time and determine whether any abnormality has occurred in the sensors based on the monitoring results. The data acquisition unit is used to issue early warnings when any sensor malfunctions, and to collect data from any sensor when no malfunctions are detected. The preprocessing unit is used to preprocess the acquired sensor data to obtain various operating parameters.

3. The collaborative control system for a heat pump system based on dynamic return gas superheat regulation according to claim 2, characterized in that, The monitoring and acquisition module also includes: The second monitoring unit is used to monitor the operating status of external sensors in the external environment of the heat pump system in real time, and to determine whether the external sensors are abnormal based on the monitoring results. The second acquisition unit is used to issue early warnings when an external sensor malfunctions, and to acquire data from the external sensor when no malfunction occurs. The second preprocessing unit is used to preprocess the acquired external sensor data to obtain environmental parameters of the external environment.

4. The collaborative control system for a heat pump system based on dynamic return gas superheat regulation according to claim 1, characterized in that, The fuzzy control determination unit includes: The parameter determination unit is used to determine the initial control parameters for the electronic expansion valve based on the difference between the actual return gas superheat and the target return gas superheat, combined with the current parameters of the electronic expansion valve. The difference determination unit is used to determine the parameter control difference of the electronic expansion valve based on the difference between the target return gas superheat and the optimal target return gas superheat, and to determine the fuzzy control parameters of the electronic expansion valve based on the parameter control difference and the initial control parameters. The generation unit is used to generate a fuzzy control table for the electronic expansion valve based on the fuzzy control parameters.

5. A collaborative control system for a heat pump system based on dynamic return gas superheat regulation according to claim 1, characterized in that, The adjustment determination module includes: The matching selection unit is used to obtain the matching target control parameters from the fuzzy control table based on the relationship between the actual return gas superheat and the target return gas superheat, combined with the current external environmental parameters and the current parameters of the electronic expansion valve. The adjustment determination unit is used to determine the adjustment value of the electronic expansion valve based on the target control parameters.

6. The control method for a heat pump system collaborative control system based on dynamic return gas superheat regulation according to claim 1, characterized in that, include: S1: Real-time monitoring and acquisition of various operating parameters of the heat pump system, and real-time monitoring and acquisition of environmental parameters of the external environment of the heat pump system; S2: Based on the various operating parameters of the heat pump system, the actual return gas superheat and the target return gas superheat are calculated, and based on the external environmental parameters, the correspondence between the actual return gas superheat and the environmental parameters is determined. S3: Based on the correspondence between the actual return gas superheat and environmental parameters, and combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated. S4: Based on the relationship between the actual return gas superheat and the target return gas superheat, determine the adjustment value of the electronic expansion valve according to the fuzzy control table.

7. The control method for a heat pump system collaborative control system based on dynamic return gas superheat adjustment according to claim 6, wherein in step S3, based on the correspondence between the actual return gas superheat and environmental parameters, and combined with the control parameters of the electronic expansion valve, a fuzzy control table for the electronic expansion valve is generated, including: Obtain the difference sequence between the actual return gas superheat and the environmental parameters from the correspondence between the actual return gas superheat and the environmental parameters, and obtain the first difference change rate based on the difference sequence; Based on the actual return gas superheat and the changes in environmental parameters, a change sequence of the target return gas superheat is obtained, and a second difference change rate is obtained based on the difference sequence between the target return gas superheat and environmental parameters. Based on the first difference change rate, the target return gas superheat is fuzzified under specific external environmental parameters to obtain the initial fuzzy set corresponding to the target return gas superheat. Based on the difference relationship between the first difference change rate and the second difference change rate, a correction weight is determined, and the initial fuzzy set is corrected based on the correction weight to obtain the target fuzzy set; The fuzzy quantity with the largest membership degree is selected from the target fuzzy set as the optimal target return gas superheat under specific external environmental parameters; Based on the relationship between the actual return gas superheat and the target return gas superheat, the initial control parameters for the electronic expansion valve are determined, and a fuzzy control table for the electronic expansion valve is generated based on the optimal target return gas superheat.

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