Heat pump system cooperative control system and method based on dynamic return air superheat degree adjustment

Abstract

According to the heat pump system cooperative control system and method based on dynamic return air superheat degree adjustment, various operation parameters and environment parameters of the heat pump system are obtained through real-time monitoring and collection, a parameter basis is provided for cooperative control of the heat pump system, and the heat pump system is controlled based on the various operation parameters of the heat pump system. According to the method, the actual air return superheat degree and the target air return superheat degree are obtained through calculation, the corresponding relation between the actual air return superheat degree and the environment parameters is determined based on the external environment parameters, and the data relation condition is provided for cooperative control of the heat pump system. And generating a fuzzy control table for the electronic expansion valve, determining an adjusting value for the electronic expansion valve according to the fuzzy control table and based on the relation between the actual return air superheat degree and the target return air superheat degree, achieving dynamic adjustment of the return air superheat degree, achieving overall optimization control of the heat pump system, and guaranteeing efficient and stable operation of the heat pump system.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pump control, and in particular to a heat pump system collaborative control system and method based on dynamic return air superheat regulation. Background Art

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

[0003] High-pressure protection in the air-to-heat pump system is a protection mechanism that prevents the compressor from being damaged due to excessive pressure. The solution to high-pressure protection failure requires understanding the causes of the high pressure. For example, excessive return air superheat may cause damage to the compressor and the system. Therefore, reasonable control of return air superheat is crucial to avoiding system failure.

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

[0005] The present invention provides a heat pump system collaborative control system and method based on dynamic return air superheat regulation, which are used to solve the problems raised in the background technology.

[0006] A heat pump system collaborative control system based on dynamic return air 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 air superheat and the target return air superheat based on various operating parameters of the heat pump system, and determine the corresponding relationship between the actual return air superheat and the environmental parameters based on the external environmental parameters;

[0009] A control generation module, for generating a fuzzy control table for the electronic expansion valve based on the corresponding relationship between the actual return air superheat and the environmental parameters and in combination 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 air superheat and the target return air superheat.

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

[0012] A monitoring unit is used to monitor the operating status of various sensors of the heat pump system in real time and determine whether any abnormality occurs in each sensor according to the monitoring results;

[0013] The collection unit is used to issue an early warning when any abnormality occurs in any sensor, and to collect data from any sensor when no abnormality occurs in any sensor;

[0014] The preprocessing unit is used to perform data preprocessing on the collected sensor data to obtain various operating parameters.

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

[0016] The second monitoring unit is used to monitor the operating state of the external sensor of the external environment of the heat pump system in real time, and determine whether the external sensor is abnormal according to the monitoring result;

[0017] The second collection unit is used to issue an early warning reminder when an abnormality occurs in the external sensor, and to collect data from the external sensor when no abnormality occurs in the external sensor;

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

[0019] Preferably, the computing and analyzing module comprises:

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

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

[0022] Preferably, the computing and analyzing module further includes:

[0023] An environment determination unit, used to obtain an external environment temperature and an external environment humidity from external environment parameters, and obtain an environment change sequence of the external environment temperature and the external environment humidity according to a preset time feature;

[0024] A superheat determination unit, used to obtain a superheat change sequence of actual return air 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 feature to obtain the corresponding relationship between the actual return air superheat and the environmental parameter.

[0026] Preferably, the control generation module includes:

[0027] a first determining unit, configured to obtain a difference sequence between the actual return air superheat and the environmental parameter from a corresponding relationship between the actual return air superheat and the environmental parameter, and obtain a first difference change rate based on the difference sequence;

[0028] a second determination unit, configured to obtain a change sequence of a target return air superheat based on changes in an actual return air superheat and an environmental parameter, and obtain a second difference change rate based on a difference sequence between the target return air superheat and the environmental parameter;

[0029] a fuzzy determination unit, configured to fuzzify the target return air superheat under specific external environmental parameters based on the second difference change rate, and obtain an initial fuzzy set corresponding to the target return air superheat;

[0030] a correction unit, configured to determine a correction weight based on a 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 a target fuzzy set;

[0031] an optimal determination unit, used for selecting a fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return air 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 air superheat and the target return air superheat, and to generate a fuzzy control table for the electronic expansion valve based on the optimal target return air superheat.

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

[0034] a parameter determination unit, for determining initial control parameters of the electronic expansion valve based on a difference between an actual return air superheat and a target return air superheat in combination with current parameters of the electronic expansion valve;

[0035] a difference determination unit, configured to determine a parameter control difference for the electronic expansion valve based on a difference between a standard return air superheat and an optimal target return air superheat, and to determine a fuzzy control parameter for the electronic expansion valve based on the parameter control difference and an initial control parameter;

[0036] A generating 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] A matching selection unit, configured to obtain a matching target control parameter from the fuzzy control table based on the relationship between the actual return air superheat and the target return air superheat, combined with the current external environment parameters and the current parameters of the electronic expansion valve;

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

[0040] A control method for a heat pump system collaborative control system based on dynamic return air superheat regulation, comprising:

[0041] S1: monitor and collect various operating parameters of the heat pump system in real time, and monitor and collect environmental parameters of the external environment of the heat pump system in real time;

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

[0043] S3: Based on the corresponding relationship between the actual return air 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;

[0044] S4: According to the fuzzy control table, based on the relationship between the actual return air superheat and the target return air superheat, determining the adjustment value for the electronic expansion valve.

[0045] Preferably, in S3, based on the correspondence between the actual return air 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, including:

[0046] Obtaining a difference sequence between the actual return air superheat and the environmental parameter from the corresponding relationship between the actual return air superheat and the environmental parameter, and obtaining a first difference change rate based on the difference sequence;

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

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

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

[0050] Selecting the fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return air superheat under specific external environmental parameters;

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

[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, 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 air superheat and the target return air superheat are calculated, and based on the external environmental parameters, the corresponding relationship between the actual return air superheat and the environmental parameters is determined to provide data relationship conditions for the coordinated control of the heat pump system. Based on the corresponding relationship between the actual return air 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 air superheat and the target return air superheat, the adjustment value of the electronic expansion valve is determined to achieve dynamic adjustment of the return air superheat, realize overall optimization control of the heat pump system, and ensure efficient and stable operation of the heat pump system.

[0054] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures specifically pointed out in this application document.

[0055] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

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

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

[0059] Figure 3 The present invention is a flowchart of a method for collaboratively controlling a heat pump system based on dynamic return air superheat regulation in an embodiment of the present invention. DETAILED DESCRIPTION

[0060] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0061] Embodiment 1:

[0062] The embodiment of the present invention provides a heat pump system collaborative control system based on dynamic return air superheat adjustment, such as Figure 1 As shown, including:

[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 air superheat and the target return air superheat based on various operating parameters of the heat pump system, and determine the corresponding relationship between the actual return air superheat and the environmental parameters based on the external environmental parameters;

[0065] A control generation module, for generating a fuzzy control table for the electronic expansion valve based on the corresponding relationship between the actual return air superheat and the environmental parameters and in combination 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 air superheat and the target return air superheat.

[0067] In this embodiment, various operating parameters of the heat pump system include return air pressure, return air temperature, etc.

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

[0069] In this embodiment, when the actual return air superheat is greater than the target return air superheat, the electronic expansion valve is controlled to be closed, and the specific value is determined according to the fuzzy control table. When the actual return air superheat is less than the target return air superheat, the electronic expansion valve is controlled to be opened, 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 air superheat and the target return air superheat and the corresponding adjustment value of the electronic expansion valve under the environmental parameters.

[0071] The beneficial effects of the above design scheme are: by real-time monitoring and collecting various operating parameters of the heat pump system, and real-time monitoring and collecting 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; by calculating the actual return air superheat and the target return air superheat based on the various operating parameters of the heat pump system, and based on the external environmental parameters, the corresponding relationship between the actual return air superheat and the environmental parameters is determined, providing data relationship conditions for the coordinated control of the heat pump system; based on the corresponding relationship between the actual return air superheat and the environmental parameters, a fuzzy control table for the electronic expansion valve is generated in combination with the control parameters of the electronic expansion valve; according to the fuzzy control table, based on the relationship between the actual return air superheat and the target return air superheat, the adjustment value of the electronic expansion valve is determined, the return air superheat is dynamically adjusted, the overall optimization control of the heat pump system is achieved, and the efficient and stable operation of the heat pump system is ensured.

[0072] Embodiment 2:

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

[0074] A monitoring unit is used to monitor the operating status of various sensors of the heat pump system in real time and determine whether any abnormality occurs in each sensor according to the monitoring results;

[0075] The collection unit is used to issue an early warning when any abnormality occurs in any sensor, and to collect data from any sensor when no abnormality occurs in any sensor;

[0076] The preprocessing unit is used to perform data preprocessing on the collected sensor data to obtain various operating parameters.

[0077] The beneficial effects of the above design scheme are: by real-time monitoring of the operating status of various sensors of the heat pump system, determining whether various sensors have abnormalities based on the monitoring results, and issuing early warning reminders when various sensors have abnormalities, and when various sensors have no abnormalities, collecting data from various sensors to ensure the correctness of data collection, preprocessing the collected sensor data, and obtaining various operating parameters, thereby providing an operating parameter basis for the coordinated control of the heat pump system.

[0078] Embodiment 3:

[0079] Based on Example 2, the embodiment of the present invention provides a heat pump system collaborative control system based on dynamic return air superheat adjustment, and the monitoring and acquisition module also includes:

[0080] The second monitoring unit is used to monitor the operating state of the external sensor of the external environment of the heat pump system in real time, and determine whether the external sensor is abnormal according to the monitoring result;

[0081] The second collection unit is used to issue an early warning reminder when an abnormality occurs in the external sensor, and to collect data from the external sensor when no abnormality occurs in the external sensor;

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

[0083] The beneficial effects of the above design scheme are: by real-time monitoring of the operating status of the external sensors of the external environment of the heat pump system, determining whether the external sensors are abnormal based on the monitoring results, and issuing early warning reminders when the external sensors are abnormal, and when the external sensors are not abnormal, collecting data from the external sensors to ensure the correctness of the data collection, preprocessing the collected external sensor data, obtaining the environmental parameters of the external environment, and providing an environmental parameter basis for the coordinated control of the heat pump system.

[0084] Embodiment 4:

[0085] Based on Example 1, the embodiment of the present invention provides a heat pump system collaborative control system based on dynamic return air superheat adjustment, wherein the calculation and analysis module includes:

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

[0087] The second calculation unit is used to obtain a target return air superheat according to 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 return air pressure saturation temperature target value, To represents the liquid supply temperature value, △t1 represents the ambient temperature difference, and b is generally 10.

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

[0090] Embodiment 5:

[0091] Based on Example 4, the embodiment of the present invention provides a heat pump system collaborative control system based on dynamic return air superheat adjustment, and the calculation and analysis module also includes:

[0092] An environment determination unit, used to obtain an external environment temperature and an external environment humidity from external environment parameters, and obtain an environment change sequence of the external environment temperature and the external environment humidity according to a preset time feature;

[0093] A superheat determination unit, used to obtain a superheat change sequence of actual return air 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 feature to obtain the corresponding relationship between the actual return air superheat and the environmental parameter.

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

[0096] Embodiment 6:

[0097] Based on Example 1, the embodiment of the present invention provides a heat pump system collaborative control system based on dynamic return air superheat adjustment, and the control generation module includes:

[0098] a first determining unit, configured to obtain a difference sequence between the actual return air superheat and the environmental parameter from a corresponding relationship between the actual return air superheat and the environmental parameter, and obtain a first difference change rate based on the difference sequence;

[0099] a second determination unit, configured to obtain a change sequence of a target return air superheat based on changes in an actual return air superheat and an environmental parameter, and obtain a second difference change rate based on a difference sequence between the target return air superheat and the environmental parameter;

[0100] a fuzzy determination unit, configured to fuzzify the target return air superheat under specific external environmental parameters based on the second difference change rate, and obtain an initial fuzzy set corresponding to the target return air superheat;

[0101] a correction unit, configured to determine a correction weight based on a 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 a target fuzzy set;

[0102] an optimal determination unit, used for selecting a fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return air 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 air superheat and the target return air superheat, and to generate a fuzzy control table for the electronic expansion valve based on the optimal target return air superheat.

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

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

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

[0107] The beneficial effect of the above design scheme is: based on the actual return air superheat, the target return air superheat and the environmental parameters, combined with fuzzy control, a fuzzy control table for the electronic expansion valve is finally obtained, and the real-time and precise control of the electronic expansion valve is achieved according to the fuzzy control table, and the return air superheat is dynamically adjusted to achieve the overall optimization control of the heat pump system, thereby ensuring the efficient and stable operation of the heat pump system.

[0108] Embodiment 7:

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

[0110] a parameter determination unit, for determining initial control parameters of the electronic expansion valve based on a difference between an actual return air superheat and a target return air superheat in combination with current parameters of the electronic expansion valve;

[0111] a difference determination unit, configured to determine a parameter control difference for the electronic expansion valve based on a difference between a standard return air superheat and an optimal target return air superheat, and to determine a fuzzy control parameter for the electronic expansion valve based on the parameter control difference and an initial control parameter;

[0112] A generating 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: by determining the parameter control difference of the electronic expansion valve based on the difference between the standard return air superheat and the optimal target return air superheat, determining the fuzzy control parameters of the electronic expansion valve based on the parameter control difference and the initial control parameters, and generating a fuzzy control table for the electronic expansion valve based on the fuzzy control parameters, thereby ensuring the accuracy of the fuzzy control table of the electronic expansion valve and providing a basis for dynamically adjusting the return air superheat.

[0114] Embodiment 8:

[0115] Based on Example 1, the embodiment of the present invention provides a heat pump system collaborative control system based on dynamic return air superheat adjustment, and the adjustment determination module includes:

[0116] A matching selection unit, configured to obtain a matching target control parameter from the fuzzy control table based on the relationship between the actual return air superheat and the target return air superheat, combined with the current external environment parameters and the current parameters of the electronic expansion valve;

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

[0118] The beneficial effects of the above design scheme are: achieving real-time and accurate control of the electronic expansion valve according to the fuzzy control table, achieving dynamic adjustment of the return air superheat, achieving overall optimization control of the heat pump system, and ensuring efficient and stable operation of the heat pump system.

[0119] Embodiment 9:

[0120] Based on Example 1, the present invention provides a control method for a heat pump system collaborative control system based on dynamic return air superheat adjustment, such as Figure 3 As shown, including:

[0121] S1: monitor and collect various operating parameters of the heat pump system in real time, and monitor and collect environmental parameters of the external environment of the heat pump system in real time;

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

[0123] S3: Based on the corresponding relationship between the actual return air 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;

[0124] S4: According to the fuzzy control table, based on the relationship between the actual return air superheat and the target return air superheat, determining the adjustment value for the electronic expansion valve.

[0125] In this embodiment, various operating parameters of the heat pump system include return air pressure, return air temperature, etc.

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

[0127] In this embodiment, when the actual return air superheat is greater than the target return air superheat, the electronic expansion valve is controlled to be closed, and the specific value is determined according to the fuzzy control table. When the actual return air superheat is less than the target return air superheat, the electronic expansion valve is controlled to be opened, 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 air superheat and the target return air superheat and the corresponding adjustment value of the electronic expansion valve under the environmental parameters.

[0129] The beneficial effects of the above design scheme are: by real-time monitoring and collecting various operating parameters of the heat pump system, and real-time monitoring and collecting 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; by calculating the actual return air superheat and the target return air superheat based on the various operating parameters of the heat pump system, and based on the external environmental parameters, the corresponding relationship between the actual return air superheat and the environmental parameters is determined, providing data relationship conditions for the coordinated control of the heat pump system; based on the corresponding relationship between the actual return air superheat and the environmental parameters, a fuzzy control table for the electronic expansion valve is generated in combination with the control parameters of the electronic expansion valve; according to the fuzzy control table, based on the relationship between the actual return air superheat and the target return air superheat, the adjustment value of the electronic expansion valve is determined, the return air superheat is dynamically adjusted, the overall optimization control of the heat pump system is achieved, and the efficient and stable operation of the heat pump system is ensured.

[0130] Embodiment 10:

[0131] Based on Example 9, the embodiment of the present invention provides a heat pump system collaborative control method based on dynamic return air superheat adjustment. In S3, based on the corresponding relationship between the actual return air 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, including:

[0132] Obtaining a difference sequence between the actual return air superheat and the environmental parameter from the corresponding relationship between the actual return air superheat and the environmental parameter, and obtaining a first difference change rate based on the difference sequence;

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

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

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

[0136] Selecting the fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return air superheat under specific external environmental parameters;

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

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

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

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

[0141] The beneficial effect of the above design scheme is: based on the actual return air superheat, the target return air superheat and the environmental parameters, combined with fuzzy control, a fuzzy control table for the electronic expansion valve is finally obtained, and the real-time and precise control of the electronic expansion valve is achieved according to the fuzzy control table, and the return air superheat is dynamically adjusted to achieve the overall optimization control of the heat pump system, thereby ensuring the efficient and stable operation of the heat pump system.

[0142] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention belong to the scope of this application document and its equivalent technology, the present invention is also intended to include these changes and variations.

Claims

1. A heat pump system collaborative control system based on dynamic return air 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 air superheat and the target return air superheat based on various operating parameters of the heat pump system, and determine the corresponding relationship between the actual return air superheat and the environmental parameters based on the external environmental parameters; A control generation module, for generating a fuzzy control table for the electronic expansion valve based on the corresponding relationship between the actual return air superheat and the environmental parameters and in combination with the control parameters of the electronic expansion valve; 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 air superheat and the target return air superheat.

2. A heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 1, characterized in that: The monitoring and collection module comprises: A monitoring unit is used to monitor the operating status of various sensors of the heat pump system in real time and determine whether any abnormality occurs in each sensor according to the monitoring results; The collection unit is used to issue an early warning when any abnormality occurs in any sensor, and to collect data from any sensor when no abnormality occurs in any sensor; The preprocessing unit is used to perform data preprocessing on the collected sensor data to obtain various operating parameters.

3. A heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 2, characterized in that: The monitoring and collection module further includes: The second monitoring unit is used to monitor the operating state of the external sensor of the external environment of the heat pump system in real time, and determine whether the external sensor is abnormal according to the monitoring result; The second collection unit is used to issue an early warning reminder when an abnormality occurs in the external sensor, and to collect data from the external sensor when no abnormality occurs in the external sensor; The second preprocessing unit is used to perform data preprocessing on the collected external sensor data to obtain environmental parameters of the external environment.

4. A heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 1, characterized in that: The computing and analysis module comprises: The first calculation unit is used to obtain the difference between the heat pump temperature and the return air pressure saturation temperature from various operating parameters of the heat pump system as the actual return air superheat; The second calculation unit is used to obtain a target return air superheat according to a preset calculation method and various operating parameters of the heat pump system.

5. A heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 4, characterized in that: The computing and analyzing module further includes: An environment determination unit, used to obtain an external environment temperature and an external environment humidity from external environment parameters, and obtain an environment change sequence of the external environment temperature and the external environment humidity according to a preset time feature; A superheat determination unit, used to obtain a superheat change sequence of actual return air superheat according to the preset time characteristics; 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 corresponding relationship between the actual return air superheat and the environmental parameters.

6. A heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 1, characterized in that: The control generation module comprises: a first determining unit, configured to obtain a difference sequence between the actual return air superheat and the environmental parameter from a corresponding relationship between the actual return air superheat and the environmental parameter, and obtain a first difference change rate based on the difference sequence; a second determination unit, configured to obtain a change sequence of a target return air superheat based on changes in an actual return air superheat and an environmental parameter, and obtain a second difference change rate based on a difference sequence between the target return air superheat and the environmental parameter; a fuzzy determination unit, configured to fuzzify the target return air superheat under specific external environmental parameters based on the second difference change rate, and obtain an initial fuzzy set corresponding to the target return air superheat; a correction unit, configured to determine a correction weight based on a 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 a target fuzzy set; an optimal determination unit, used for selecting a fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return air 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 air superheat and the target return air superheat, and to generate a fuzzy control table for the electronic expansion valve based on the optimal target return air superheat.

7. A heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 6, characterized in that: The fuzzy control determination unit comprises: a parameter determination unit, for determining initial control parameters of the electronic expansion valve based on a difference between an actual return air superheat and a target return air superheat in combination with current parameters of the electronic expansion valve; a difference determination unit, configured to determine a parameter control difference for the electronic expansion valve based on a difference between a standard return air superheat and an optimal target return air superheat, and to determine a fuzzy control parameter for the electronic expansion valve based on the parameter control difference and an initial control parameter; A generating unit is used to generate a fuzzy control table for the electronic expansion valve based on the fuzzy control parameters.

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

9. The control method of a heat pump system collaborative control system based on dynamic return air superheat adjustment according to claim 1, characterized in that: include: S1: monitor and collect various operating parameters of the heat pump system in real time, and monitor and collect environmental parameters of the external environment of the heat pump system in real time; S2: Based on various operating parameters of the heat pump system, the actual return air superheat and the target return air superheat are calculated, and based on the external environmental parameters, the corresponding relationship between the actual return air superheat and the environmental parameters is determined; S3: Based on the corresponding relationship between the actual return air 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; S4: According to the fuzzy control table, based on the relationship between the actual return air superheat and the target return air superheat, determining the adjustment value for the electronic expansion valve.

10. A heat pump system collaborative control method based on dynamic return air superheat adjustment according to claim 9, wherein in S3, based on the correspondence between the actual return air 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, including: Obtaining a difference sequence between the actual return air superheat and the environmental parameter from the corresponding relationship between the actual return air superheat and the environmental parameter, and obtaining a first difference change rate based on the difference sequence; Based on the changes of the actual return air superheat and the environmental parameters, a change sequence of the target return air superheat is obtained, and based on the difference sequence between the target return air superheat and the environmental parameters, a second difference change rate is obtained; Based on the first difference change rate, the target return air superheat is fuzzified under specific external environmental parameters to obtain an initial fuzzy set corresponding to the target return air superheat; Determining a correction weight based on a difference relationship between the first difference change rate and the second difference change rate, and correcting the initial fuzzy set based on the correction weight to obtain a target fuzzy set; Selecting the fuzzy quantity with the largest membership degree from the target fuzzy set as the optimal target return air superheat under specific external environmental parameters; Based on the relationship between the actual return air superheat and the target return air superheat, the initial control parameters for the electronic expansion valve are determined, and based on the optimal target return air superheat, a fuzzy control table for the electronic expansion valve is generated.

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