Intelligent heat pump cleaning control system and method

Abstract

The present invention discloses an intelligent heat pump cleaning control system and method, and relates to the technical field of heat pump cleaning. The method discloses the following steps: step one: regularly cleaning and inspecting the heat pump; step two: whenever the cleaning and inspection of a component is completed, obtaining the cleaning and inspection judgment value of the cleaning and inspection log of the component, and judging whether to mark the component as a priority cleaning component based on the comparison result of the cleaning and inspection judgment value and its threshold value; step three: when a priority cleaning component appears, controlling the cleaning equipment to clean the priority cleaning component, and marking the order-related components simultaneously. The method of the present invention can ensure accurate and orderly cleaning and inspection of each component, and at the same time ensure that the cleaning and inspection of components with great cleaning risks can be carried out preferentially. When a component that needs to be cleaned is checked, the cleaning equipment can be quickly controlled to clean the component, and the cleaning of the component will not be affected while the cleaning and inspection of other components in the heat pump are being carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of heat pump cleaning, and more specifically, to an intelligent heat pump cleaning control system and method. Background Art

[0002] In order to ensure the working efficiency and service life of the heat pump, it is necessary to clean and inspect the heat pump regularly. When cleaning, it may be necessary to disassemble and clean the relevant parts. At present, it is usually necessary to clean the parts that need to be cleaned by cleaning equipment after all parts of the heat pump are inspected. The efficiency of this cleaning inspection is not high. How to optimize the cleaning priority of the cleaning equipment for the parts, and then improve the cleaning and inspection efficiency of the heat pump, is a problem that needs to be solved urgently. Summary of the invention

[0003] In view of the deficiencies in the prior art, the object of the present invention is to provide an intelligent heat pump cleaning control system and method.

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

[0005] Intelligent heat pump cleaning control system, intelligent heat pump cleaning control system, including cleaning inspection module, priority cleaning control module, inspection reset module;

[0006] The cleaning and inspection module is used to regularly clean and inspect the heat pump;

[0007] Whenever the cleaning inspection of a component is completed, the priority cleaning control module obtains the cleaning inspection judgment value of the cleaning inspection log of the component, and determines whether to mark the component as a priority cleaning component based on the comparison result of the cleaning inspection judgment value and its threshold value. When a priority cleaning component appears, the cleaning device is controlled to clean the priority cleaning component and mark the order-related components simultaneously;

[0008] After the priority cleaning component appears, the inspection and reset module obtains the cleaning synchronization value of the order-related component, sorts all the order-related components in descending order according to the values ​​of the cleaning synchronization value, and performs cleaning inspection on subsequent components in the sorted order.

[0009] Furthermore, the heat pump is cleaned and inspected, specifically: the cleaning components of the heat pump are cleaned and inspected in sequence according to the normal inspection order of component cleaning. Whenever the cleaning inspection of a component is completed, a cleaning inspection log of the component is generated. The cleaning inspection log includes the component name, the cleaning inspection judgment value, and the time when the inspection is completed.

[0010] Further, based on the comparison result between the cleaning inspection judgment value and the threshold value, it is determined whether to mark the component as a priority cleaning component, specifically: obtaining the cleaning inspection judgment value and the component name of the cleaning inspection log, obtaining the cleaning inspection judgment threshold value of the component, and when the cleaning inspection judgment value is greater than or equal to the cleaning inspection judgment threshold value, marking the component as a priority cleaning component;

[0011] When the cleaning inspection judgment value is less than the cleaning inspection judgment threshold value, the cleaning inspection of the next component shall be continued in the order of normal component cleaning inspection.

[0012] Furthermore, the order-associated components are synchronously marked, specifically: the cleaning equipment is controlled to clean the priority cleaning components, and the remaining components after the priority cleaning components in the normal inspection order of component cleaning are synchronously marked as order review components, and the component cleaning atlas of the heat pump is obtained. When the priority cleaning components and the order review components are cleaned and associated with each other in the component cleaning map, the order review components are marked as order-associated components.

[0013] Furthermore, the cleaning inspection judgment value of the cleaning inspection log is obtained in the following manner: obtaining the inspection data of various cleaning inspection indicators of the component, combining the inspection data of various cleaning inspection indicators of the component into an inspection data set, obtaining the cleaning inspection indicator model of the component, inputting the inspection data set into the cleaning inspection indicator model, and the cleaning inspection indicator model outputs the cleaning inspection judgment value.

[0014] Furthermore, the cleaning synchronization value of the order-related components is obtained in the following way: the total number of floating exceeding standards and the floating mean of exceeding standards of the priority cleaning components are obtained, and marked as [F1, F2], F1 is the total number of floating exceeding standards of the priority cleaning components, x2 is the floating mean of exceeding standards of the priority cleaning components, the total number of floating exceeding standards and the floating mean of exceeding standards of the order-related components are obtained, and marked as [C1, C2], C1 is the total number of floating exceeding standards of the order-related components, C2 is the floating mean of exceeding standards of the order-related components, and the formula is used. Get the cleaning synchronization value aw of the sequence-related components.

[0015] Furthermore, the total number of floating excesses and the floating mean of excesses are obtained in the following manner: obtain n cleaning inspection logs of the same component before the current time of the system, sort all the cleaning inspection logs in the order of the inspection completion time, calculate the difference between the cleaning inspection judgment values ​​of the two adjacent cleaning inspection logs after sorting and take the absolute value to obtain the cleaning inspection judgment floating value, set the cleaning inspection judgment floating threshold (the cleaning inspection judgment floating threshold is the system set threshold, which can be modified according to actual needs), when the cleaning inspection judgment floating value is greater than the cleaning inspection judgment floating threshold, increase the number of floating excesses by one, and calculate the difference between the cleaning inspection judgment floating value and the cleaning inspection judgment floating threshold to obtain the excess floating value, when the cleaning inspection judgment floating value is less than or equal to the cleaning inspection judgment floating threshold, do not process it, sum up all the floating excesses to obtain the total number of floating excesses, sum up all the excess floating values ​​and take the average to obtain the excess floating mean.

[0016] Furthermore, the general inspection sequence for component cleaning is obtained in the following manner:

[0017] Get all the cleaning inspection logs generated before the current time of the system, get the component name of the cleaning inspection log, mark the cleaning inspection logs with the same component name as the same-name cleaning inspection logs, sum up the cleaning inspection judgment values ​​of all the same-name cleaning inspection logs and take the average, get the same-name cleaning inspection judgment average Rcy, set the cleaning inspection judgment upper limit value and the cleaning inspection judgment lower limit value, when the cleaning inspection judgment value of the same-name cleaning inspection log is greater than or equal to the cleaning inspection judgment upper limit value, mark the attribute of the same-name cleaning inspection log as an abnormal attribute, when the cleaning inspection judgment value of the same-name cleaning inspection log is less than or equal to the cleaning inspection judgment lower limit value, mark the attribute of the same-name cleaning inspection log as a reasonable attribute, when the cleaning inspection judgment value of the same-name cleaning inspection log is between the cleaning inspection judgment upper limit value When the value is between the lower limit of the cleaning inspection judgment, the attribute of the same-named cleaning inspection log is marked as a common attribute, and all the same-named cleaning inspection logs are sorted in the order of the inspection completion time. The attributes of the two adjacent same-named cleaning inspection logs after sorting are compared. When the attributes of the two adjacent same-named cleaning inspection logs are the same, no processing is performed. When the attributes of the two adjacent same-named cleaning inspection logs are different, the attribute change times are increased by one, and all attribute change times are summed up to obtain the total attribute change times Spm. All the same-named cleaning inspection logs with abnormal attributes are sorted in the order of the inspection completion time to obtain the abnormal attribute time difference. All abnormal attribute time differences are summed up and averaged to obtain the average abnormal attribute time difference Tez. The formula is used The cleaning general sequence value Et of the component is obtained, where a1 is the mean coefficient of the same-name cleaning inspection, a2 is the total number of attribute changes coefficient, and a3 is the average abnormal attribute time difference coefficient. All components are sorted in descending order according to the value of the cleaning general sequence value, that is, the general inspection order of component cleaning is generated.

[0018] Furthermore, all order-related components are sorted in descending order according to the values ​​of the cleaning synchronization values, and subsequent components are cleaned and inspected in the sorted order. After all order-related components are cleaned and inspected, the remaining components that have not been cleaned and inspected in the normal component cleaning inspection order are cleaned and inspected in order.

[0019] Furthermore, the intelligent heat pump cleaning control method comprises the following steps:

[0020] Step 1: Clean and inspect the heat pump regularly;

[0021] Step 2: Whenever a cleaning inspection of a component is completed, a cleaning inspection judgment value of the cleaning inspection log of the component is obtained, and based on a comparison result between the cleaning inspection judgment value and its threshold value, it is determined whether to mark the component as a priority cleaning component;

[0022] Step 3: When a priority cleaning component appears, control the cleaning equipment to clean the priority cleaning component and mark the order-related components simultaneously;

[0023] Step 4: After the priority cleaning component appears, obtain the cleaning synchronization value of the order-related component;

[0024] Step 5: Sort all sequence-related components in descending order according to the cleaning synchronization value, and clean and inspect the subsequent components in the sorted order.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] 1. The method of the present invention can ensure accurate and orderly cleaning and inspection of each component, and at the same time ensure that the components with great cleaning risks can be cleaned and inspected first. When the components that need to be cleaned are checked, the cleaning equipment can be quickly controlled to clean the components. While cleaning the components, the cleaning and inspection of other components in the heat pump will not be affected, which effectively improves the cleaning efficiency of the heat pump;

[0027] 2. Set up a cleaning and inspection module. Before cleaning and inspecting the heat pump, you can set a reasonable cleaning and inspection order for each component in the heat pump, set a priority cleaning control module and an inspection reset module, and at the same time, when checking out the components that need to be cleaned, adjust the cleaning and inspection order of the components in the heat pump in time to ensure that the components that need to be cleaned in the heat pump can be checked quickly. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] Figure 1 It is a flow chart of the intelligent heat pump cleaning control method;

[0029] Figure 2 A flowchart for obtaining a general inspection sequence for component cleaning;

[0030] Figure 3 A flowchart for labeling sequence-related components. DETAILED DESCRIPTION

[0031] Embodiment 1,

[0032] Reference Figure 1 , the intelligent heat pump cleaning control method comprises the following steps:

[0033] Step 1: Clean and inspect the heat pump regularly;

[0034] Step 2: Whenever a cleaning inspection of a component is completed, a cleaning inspection judgment value of the cleaning inspection log of the component is obtained, and based on a comparison result between the cleaning inspection judgment value and its threshold value, it is determined whether to mark the component as a priority cleaning component;

[0035] Step 3: When a priority cleaning component appears, control the cleaning equipment to clean the priority cleaning component and mark the order-related components simultaneously;

[0036] Step 4: After the priority cleaning component appears, obtain the cleaning synchronization value of the order-related component;

[0037] Step 5: Sort all sequence-related components in descending order according to the cleaning synchronization value, and clean and inspect the subsequent components in the sorted order.

[0038] The above method can ensure accurate and orderly cleaning and inspection of each component, while ensuring that components with greater cleaning risks can be cleaned and inspected first. When components that need to be cleaned are found, the cleaning equipment can be quickly controlled to clean the components. While cleaning the components, it will not affect the cleaning and inspection of other components in the heat pump, thereby effectively improving the cleaning efficiency of the heat pump.

[0039] Example 2

[0040] Reference Figures 2 to 3 , intelligent heat pump cleaning control system, including cleaning inspection module, priority cleaning control module and inspection reset module.

[0041] Cleaning and inspection module: set a preset time interval (the preset time interval is the time difference between two time points, and the length of the time difference can be adjusted according to needs). When the time interval point is reached, the heat pump is cleaned and inspected.

[0042] The heat pump is cleaned and inspected, specifically: the cleaning components of the heat pump are cleaned and inspected in sequence according to the normal inspection order of component cleaning. Whenever the cleaning inspection of a component is completed, a cleaning inspection log of the component is generated. The cleaning inspection log includes the component name, the cleaning inspection judgment value, and the inspection completion time (i.e., the corresponding time when the cleaning inspection of the component is completed).

[0043] The general inspection sequence for parts cleaning is obtained as follows:

[0044] Get all the cleaning inspection logs generated before the current time of the system, get the component name of the cleaning inspection log, mark the cleaning inspection logs with the same component name as the same-name cleaning inspection logs, sum up the cleaning inspection judgment values ​​of all the same-name cleaning inspection logs and take the average value to get the same-name cleaning inspection judgment average Rcy, set the cleaning inspection judgment upper limit value and the cleaning inspection judgment lower limit value (the cleaning inspection judgment upper limit value is greater than the cleaning inspection judgment lower limit value, and the cleaning inspection judgment upper limit value and the cleaning inspection judgment lower limit value are both system-set thresholds, which can be adjusted according to actual needs). When the cleaning inspection judgment value of the same-name cleaning inspection log is greater than or equal to the cleaning inspection judgment upper limit value, mark the attribute of the same-name cleaning inspection log as an abnormal attribute. When the cleaning inspection judgment value of the same-name cleaning inspection log is less than or equal to the cleaning inspection judgment lower limit value, mark the attribute of the same-name cleaning inspection log as abnormal. For a reasonable attribute, when the cleaning inspection judgment value of the same-name cleaning inspection log is between the cleaning inspection judgment upper limit and the cleaning inspection judgment lower limit, the attribute of the same-name cleaning inspection log is marked as a common attribute, and all the same-name cleaning inspection logs are sorted in the order of the inspection completion time, and the attributes of the two adjacent same-name cleaning inspection logs after sorting are compared. When the attributes of the two adjacent same-name cleaning inspection logs are the same, no processing is performed. When the attributes of the two adjacent same-name cleaning inspection logs are different, the attribute change times are increased once, and all attribute change times are summed up to obtain the total attribute change times Spm. All the same-name cleaning inspection logs with abnormal attributes are sorted in the order of the inspection completion time to obtain the abnormal attribute time difference, and all abnormal attribute time differences are summed up and averaged to obtain the average abnormal attribute time difference Tez. The formula is used The cleaning general sequence value Et of the component is obtained, where a1 is the mean coefficient of the same-name cleaning inspection, a2 is the total number of attribute changes coefficient, and a3 is the average abnormal attribute time difference coefficient. The value of a1 is 1.82, the value of a2 is 1.73, and the value of a3 is 1.55. All components are sorted in descending order according to the value of the cleaning general sequence value, that is, the general inspection order of component cleaning is generated.

[0045] The cleaning inspection judgment value of the cleaning inspection log is obtained in the following manner: obtaining the inspection data of various cleaning inspection indicators of the component (there are multiple cleaning inspection indicators, and the cleaning inspection indicators of each component are not necessarily the same. Taking the condenser and the compressor as examples, the cleaning inspection indicators of the condenser include but are not limited to dirt indicators, rust indicators, pressure indicators, and heat dissipation indicators. The cleaning inspection indicators of the compressor include but are not limited to dirt indicators, rust indicators, refrigeration indicators, and voiceprint indicators. The inspection data of the cleaning inspection indicators are the actual data of the corresponding indicators. Taking the dirt indicator of the condenser as an example, the inspection data of the dirt indicator of the condenser includes but is not limited to the dirt thickness and dirt area of ​​the condenser), combining the inspection data of various cleaning inspection indicators of the component into an inspection data set, obtaining a cleaning inspection indicator model of the component (different components in the heat pump correspond to different cleaning inspection indicator models, such as the condenser corresponds to one cleaning inspection indicator model, and the compressor corresponds to another cleaning inspection indicator model), inputting the inspection data set into the cleaning inspection indicator model, and the cleaning inspection indicator model outputs the cleaning inspection judgment value.

[0046] This embodiment will take the cleaning inspection index model of the condenser as an example to introduce the construction method of the cleaning inspection index model: collect multiple groups of condenser inspection data sets, each group of condenser inspection data sets includes but is not limited to dirt data, rust data, pressure data, and heat dissipation data, build a neural network model, use the multiple groups of condenser inspection data sets as training data of the neural network model, assign a cleaning inspection judgment value to each group of multiple groups of condenser inspection data sets, divide the multiple groups of condenser inspection data sets into training sets and verification sets in a ratio of 1:3, perform neural network iterative training on the training sets and verification sets, and obtain the cleaning inspection index model of the condenser. Among them, the value range of the cleaning inspection judgment value is (0~3), and the larger the value of the cleaning inspection judgment value, the more the condenser needs to be cleaned, and vice versa, it means that the condenser does not need to be cleaned. The construction method of the cleaning inspection index model of the remaining components is the same as above, and the value range is the same.

[0047] By setting up a cleaning and inspection module, a reasonable cleaning and inspection order can be set for each component in the heat pump before cleaning and inspecting the heat pump. This not only ensures accurate and orderly cleaning and inspection of each component, but also ensures that components with greater cleaning risks can be cleaned and inspected first.

[0048] Priority cleaning control module: obtain the cleaning inspection judgment value and component name of the cleaning inspection log, obtain the cleaning inspection judgment threshold value of the component (the cleaning inspection judgment threshold values ​​of different components are not necessarily the same, and the cleaning inspection judgment threshold value is a system-set threshold value, which can be adjusted according to needs). When the cleaning inspection judgment value is greater than or equal to the cleaning inspection judgment threshold value, mark the component as a priority cleaning component, control the cleaning equipment to clean the priority cleaning component, and simultaneously mark the remaining components after the priority cleaning component in the normal inspection order of components as order review components, obtain the component cleaning map of the heat pump, and when the priority cleaning component and the order review component are cleaned and associated with each other in the component cleaning map, mark the order review component as an order-associated component. When the priority cleaning component and the order review component are not cleaned and associated with each other in the component cleaning map, no processing is performed.

[0049] Check reset module: Get the total number of floating exceeding standards and the floating mean of the priority cleaning parts, and mark them as [F1, F2], where F1 is the total number of floating exceeding standards of the priority cleaning parts, and x2 is the floating mean of the priority cleaning parts. Get the total number of floating exceeding standards and the floating mean of the order-related parts, and mark them as [C1, C2], where C1 is the total number of floating exceeding standards of the order-related parts, and C2 is the floating mean of the order-related parts. Use the formula Get the cleaning synchronization value aw of the order-related components, sort all the order-related components in descending order according to the cleaning synchronization value, and clean and inspect the subsequent components in the sorted order. After cleaning and inspecting all the order-related components, clean and inspect the remaining components that have not been cleaned and inspected in the normal inspection order of components in order.

[0050] The cleaning synchronization value of the order-related components is obtained by the cosine similarity calculation formula;

[0051] The total number of floating excesses and the floating mean of excesses are obtained in the following way: obtain n cleaning inspection logs of the same component before the current time of the system, sort all cleaning inspection logs in the order of the inspection completion time, calculate the difference between the cleaning inspection judgment values ​​of the two adjacent cleaning inspection logs after sorting and take the absolute value to obtain the cleaning inspection judgment floating value, set the cleaning inspection judgment floating threshold (the cleaning inspection judgment floating threshold is the system set threshold, which can be modified according to actual needs), when the cleaning inspection judgment floating value is greater than the cleaning inspection judgment floating threshold, increase the number of floating excesses by one, and calculate the difference between the cleaning inspection judgment floating value and the cleaning inspection judgment floating threshold to obtain the excess floating value, when the cleaning inspection judgment floating value is less than or equal to the cleaning inspection judgment floating threshold, do not process it, sum up all floating excesses to obtain the total number of floating excesses, sum up all excess floating values ​​and take the average to obtain the excess floating mean.

[0052] The heat pump component cleaning atlas contains all cleanable components in the heat pump. The component cleaning atlas can show the cleaning relationship between components. For example, the condenser and the evaporator are interconnected through the refrigerant cycle and are both exposed to the environment. Therefore, when the condenser needs to be cleaned, the evaporator may also need to be cleaned. Therefore, the condenser and the evaporator are shown in the component cleaning atlas. Cleaning relationship.

[0053] When the cleaning inspection judgment value is less than the cleaning inspection judgment threshold value, the cleaning inspection of the next component shall be continued in the order of normal component cleaning inspection.

[0054] By setting a priority cleaning control module and an inspection reset module, when parts that need cleaning are found, the cleaning equipment can be quickly controlled to clean the parts. While cleaning the parts, the cleaning and inspection of other parts in the heat pump will not be affected, thereby effectively improving the cleaning efficiency of the heat pump. At the same time, when parts that need cleaning are found, the cleaning and inspection order of the parts in the heat pump can be adjusted in time to ensure that the parts that need cleaning in the heat pump can be quickly checked.

[0055] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0056] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0057] It should be understood that in the various embodiments of the present application, the size of the serial numbers of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0058] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0059] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0060] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0061] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks or optical disks.

[0062] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. Intelligent heat pump cleaning control system, characterized in that: Intelligent heat pump cleaning control system, including cleaning inspection module, priority cleaning control module, inspection reset module; The cleaning and inspection module is used to regularly clean and inspect the heat pump; The priority cleaning control module obtains the cleaning inspection judgment value of the cleaning inspection log of the component each time the cleaning inspection of the component is completed, and determines whether to mark the component as a priority cleaning component based on the comparison result of the cleaning inspection judgment value and its threshold value. When a priority cleaning component appears, the cleaning device is controlled to clean the priority cleaning component and mark the order-related components simultaneously; The inspection and reset module obtains the cleaning synchronization value of the order-related components after the priority cleaning component appears, sorts all the order-related components in descending order according to the values ​​of the cleaning synchronization value, and performs cleaning inspection on the subsequent components in the sorted order; Performing a cleaning inspection on the heat pump, specifically: performing a cleaning inspection on the cleaning components of the heat pump in sequence according to the general inspection order of component cleaning, and generating a cleaning inspection log of the component each time the cleaning inspection of a component is completed, the cleaning inspection log including the component name, the cleaning inspection judgment value, and the inspection completion time; Based on the comparison result between the cleaning inspection judgment value and the threshold value, determine whether to mark the component as a priority cleaning component, specifically: obtain the cleaning inspection judgment value and the component name in the cleaning inspection log, obtain the cleaning inspection judgment threshold value of the component, and when the cleaning inspection judgment value is greater than or equal to the cleaning inspection judgment threshold value, mark the component as a priority cleaning component; When the cleaning inspection judgment value is less than the cleaning inspection judgment threshold, the cleaning inspection of the next component is continued according to the normal inspection order of component cleaning; The order-related components are marked synchronously, specifically: the cleaning equipment is controlled to clean the priority cleaning components, and the remaining components after the priority cleaning components in the general inspection order of component cleaning are marked as order review components, and the component cleaning atlas of the heat pump is obtained. When the priority cleaning components and the order review components are cleaned and associated with each other in the component cleaning atlas, the order review components are marked as order-related components; The cleaning synchronization value of the order-related components is obtained by the following method: Get the total number of floating exceeding standards and the floating average exceeding standards of the priority cleaning components, and mark them as [ F1,F2 ] , F1 is the total number of floating exceeding standards of the priority cleaning parts, F2 is the floating average of the exceeding standards of the priority cleaning parts, obtain the total number of floating exceeding standards and the floating average of the exceeding standards of the order-related parts, and mark them as [ C1,C2 ] , C1 is the total number of floating excesses of sequence-related components, C2 is the average floating excess of sequence-related components, using the formula Get the cleaning synchronization value aw of the sequence-related components.

2. The intelligent heat pump cleaning control system according to claim 1 is characterized in that: The cleaning inspection judgment value of the cleaning inspection log is obtained in the following manner: obtaining the inspection data of various cleaning inspection indicators of the component, combining the inspection data of various cleaning inspection indicators of the component into an inspection data set, obtaining the cleaning inspection indicator model of the component, inputting the inspection data set into the cleaning inspection indicator model, and the cleaning inspection indicator model outputs the cleaning inspection judgment value.

3. The intelligent heat pump cleaning control system according to claim 1 is characterized in that: The total number of floating excesses and the floating mean of excesses are obtained in the following way: obtain n cleaning inspection logs of the same component before the current time of the system, sort all the cleaning inspection logs in the order of the inspection completion time, calculate the difference between the cleaning inspection judgment values ​​of the two adjacent cleaning inspection logs after sorting and take the absolute value to obtain the cleaning inspection judgment floating value, set the cleaning inspection judgment floating threshold, when the cleaning inspection judgment floating value is greater than the cleaning inspection judgment floating threshold, increase the number of floating excesses by one, and calculate the difference between the cleaning inspection judgment floating value and the cleaning inspection judgment floating threshold to obtain the excess floating value, when the cleaning inspection judgment floating value is less than or equal to the cleaning inspection judgment floating threshold, do not process it, sum up all the floating excesses to obtain the total number of floating excesses, sum up all the excess floating values ​​and take the average to obtain the excess floating mean.

4. The intelligent heat pump cleaning control system according to claim 1 is characterized in that: The general inspection sequence for parts cleaning is obtained as follows: Get all the cleaning inspection logs generated before the current time of the system, get the component name of the cleaning inspection log, mark the cleaning inspection logs with the same component name as the same-name cleaning inspection logs, sum up the cleaning inspection judgment values ​​of all the same-name cleaning inspection logs and take the average, get the same-name cleaning inspection judgment average Rcy, set the cleaning inspection judgment upper limit value and the cleaning inspection judgment lower limit value, when the cleaning inspection judgment value of the same-name cleaning inspection log is greater than or equal to the cleaning inspection judgment upper limit value, mark the attribute of the same-name cleaning inspection log as an abnormal attribute, when the cleaning inspection judgment value of the same-name cleaning inspection log is less than or equal to the cleaning inspection judgment lower limit value, mark the attribute of the same-name cleaning inspection log as a reasonable attribute, when the cleaning inspection judgment value of the same-name cleaning inspection log is between the cleaning inspection judgment upper limit value When the value is between the lower limit of the cleaning inspection judgment, the attribute of the same-named cleaning inspection log is marked as a common attribute, and all the same-named cleaning inspection logs are sorted in the order of the inspection completion time. The attributes of the two adjacent same-named cleaning inspection logs after sorting are compared. When the attributes of the two adjacent same-named cleaning inspection logs are the same, no processing is performed. When the attributes of the two adjacent same-named cleaning inspection logs are different, the attribute change times are increased by one, and all attribute change times are summed up to obtain the total attribute change times Spm. All the same-named cleaning inspection logs with abnormal attributes are sorted in the order of the inspection completion time to obtain the abnormal attribute time difference. All abnormal attribute time differences are summed up and averaged to obtain the average abnormal attribute time difference Tez. The formula is used The cleaning general sequence value Et of the component is obtained, where a1 is the mean coefficient of the same-name cleaning inspection, a2 is the total number of attribute changes coefficient, and a3 is the average abnormal attribute time difference coefficient. All components are sorted in descending order according to the value of the cleaning general sequence value, that is, the general inspection order of component cleaning is generated.

5. The intelligent heat pump cleaning control system according to claim 1 is characterized in that: All order-related components are sorted in descending order according to the values ​​of the cleaning synchronization values, and subsequent components are cleaned and inspected in the sorted order. After all order-related components are cleaned and inspected, the remaining components that have not been cleaned and inspected in the normal component cleaning inspection order are cleaned and inspected in order.

6. An intelligent heat pump cleaning control method, applied to the intelligent heat pump cleaning control system according to claim 1, characterized in that: The steps include: Step 1: Clean and inspect the heat pump regularly; Step 2: Whenever a cleaning inspection of a component is completed, a cleaning inspection judgment value of the cleaning inspection log of the component is obtained, and based on a comparison result between the cleaning inspection judgment value and its threshold, it is determined whether to mark the component as a priority cleaning component; Step 3: When a priority cleaning component appears, control the cleaning equipment to clean the priority cleaning component and mark the order-related components simultaneously; Step 4: After the priority cleaning component appears, obtain the cleaning synchronization value of the order-related component; Step 5: Sort all sequence-related components in descending order according to the cleaning synchronization value, and clean and inspect the subsequent components in the sorted order.

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