Water pump station operation intelligent diagnosis device and diagnosis method

Abstract

The invention provides an intelligent diagnosis device and method for operation of a water pump station. According to the technical scheme, the intelligent diagnosis method comprises the steps that S1, historical diagnosis data of the water pump station are obtained; s2, generating a map factor and a factor connection track according to the historical diagnosis data, and obtaining a pump station diagnosis map according to the map factor and the factor connection track; s3, operation diagnosis factors are obtained according to the pump station operation monitoring data; s4, generating a diagnosis input condition according to the operation diagnosis factor; obtaining a target map factor according to the diagnosis input condition and the map factor of the pump station diagnosis map; s5, obtaining a target pointing map factor of the target map factor according to the factor pointing mark of the target map factor corresponding to the water pump station; and S6, constructing a diagnosis result set according to the target pointing map factor of the target map factor, and obtaining an operation diagnosis result of the water pump station according to the diagnosis result set. The comprehensiveness and accuracy of the operation diagnosis result of the water pump station are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of pump station monitoring, and particularly to an intelligent diagnosis device and diagnosis method for the operation of a water pump station. Background Art

[0002] In the modern industrial and urban infrastructure systems, as a key facility, the water pump station undertakes core tasks such as liquid transportation, water level regulation, flood control and drainage. Its stable operation is directly related to the orderly development of production activities, the smooth operation of the urban water system, and the normal guarantee of people's lives. Moreover, with the development of industrial intelligence, the demand for real-time monitoring and fault diagnosis of the operation status of water pump stations is becoming increasingly urgent. For example, in the urban water supply system, the water pump station needs to continuously and stably lift and transport the source water to thousands of households. Once a fault occurs, it will cause a large-scale water supply interruption, seriously affecting residents' lives and the normal operation of the city; in the industrial production field, many industries such as chemical engineering and electric power rely on water pump stations to maintain the liquid circulation and transportation in the production process. A fault shutdown will lead to production interruption and bring high economic losses.

[0003] The operation diagnosis methods of water pump stations in the related technologies often cannot combine the historical operation conditions of the water pump stations to comprehensively and accurately perform an operation diagnosis on the actual operation conditions of the water pump stations, resulting in the lack of comprehensiveness and accuracy in the operation diagnosis results of the water pump stations, and there is room for improvement. Summary of the Invention

[0004] The purpose of the embodiments of the present application is to provide an intelligent diagnosis device and diagnosis method for the operation of a water pump station to improve the problem that the operation diagnosis methods of water pump stations in the related technologies often cannot combine the historical operation conditions of the water pump stations to comprehensively and accurately perform an operation diagnosis on the actual operation conditions of the water pump stations, resulting in the lack of comprehensiveness and accuracy in the operation diagnosis results of the water pump stations.

[0005] The present application provides an intelligent diagnosis device and diagnosis method for the operation of a water pump station, including: Step S1: Obtain the historical diagnosis data of the water pump station, where the historical diagnosis data includes historical diagnosis results and historical diagnosis factors corresponding to the historical diagnosis results; Step S2: Generate map factors based on the historical diagnosis results and historical diagnosis factors, and obtain the factor pointing marks of the map factors according to the corresponding relationship between the historical diagnosis results and historical diagnosis factors; generate the factor connection trajectories between the map factors based on the factor pointing marks, and construct a pump station diagnosis map of the water pump station based on the map factors and the factor connection trajectories between the map factors; Step S3: Obtain the pump station operation monitoring data of the water pump station, and obtain the operation diagnosis factors of the water pump station based on the pump station operation monitoring data; Step S4: Generate diagnostic input conditions for the water pump pumping station based on the operation diagnostic factors; input the diagnostic input conditions into the pumping station diagnostic atlas, and match the diagnostic input conditions with the atlas factors in the pumping station diagnostic atlas to obtain the target atlas factors corresponding to the water pump pumping station; Step S5: Obtain the target pointing atlas factors corresponding to the target atlas factors according to the factor pointing marks of the target atlas factors corresponding to the water pump pumping station; Step S6: Construct a diagnostic result set based on the target pointing atlas factors corresponding to the target atlas factors, and obtain the operation diagnostic result of the water pump pumping station according to the diagnostic result set.

[0006] Preferably, generate atlas factors based on the historical diagnostic results and historical diagnostic factors, specifically: Set an atlas factor template, where the atlas factor template includes a keyword sub-template and a keyword feature sub-template; Perform semantic analysis on both the historical diagnostic results and historical diagnostic factors to obtain semantic analysis results corresponding to the historical diagnostic results and historical diagnostic factors; And generate atlas factors corresponding to the historical diagnostic results and historical diagnostic factors based on the semantic analysis results and the atlas factor template; The pumping station diagnostic atlas contains at least one atlas factor, and each atlas factor includes a factor keyword and a factor keyword feature corresponding to the factor keyword.

[0007] Preferably, obtain the factor pointing marks of the atlas factors according to the corresponding relationship between the historical diagnostic results and historical diagnostic factors, specifically: The corresponding relationship between the historical diagnostic results and historical diagnostic factors is the diagnostic causal relationship between the historical diagnostic results and historical diagnostic factors; Obtain the factor pointing marks of the atlas factors according to the diagnostic causal relationship, and each atlas factor has a factor pointing mark; Wherein the factor pointing marks include a forward pointing mark and a reverse pointing mark.

[0008] Preferably, obtain the pumping station operation monitoring data of the water pump pumping station, and obtain the operation diagnostic factors of the water pump pumping station based on the pumping station operation monitoring data, specifically: The pumping station operation monitoring data includes the pumping station operation parameter data and the pumping station operation status data of the water pump pumping station; Obtain the operation parameter diagnostic factors of the water pump pumping station based on the pumping station operation parameter data, and obtain the operation status diagnostic factors of the water pump pumping station based on the pumping station operation status data; The operation diagnostic factors of the water pump pumping station are composed of the operation parameter diagnostic factors and the operation status diagnostic factors.

[0009] Preferably, diagnostic input conditions for the water pump pumping station are generated based on the operation diagnostic factors, specifically as follows: Perform semantic analysis on the operation diagnostic factors to obtain the semantic analysis result of the operation diagnostic factors; Generate operation diagnostic factors corresponding to the operation diagnostic factors based on the semantic analysis result and the atlas factor template, where the operation diagnostic factors include diagnostic keywords and diagnostic keyword features; And constitute the diagnostic input conditions for the water pump pumping station based on the operation diagnostic factors corresponding to the operation diagnostic factors.

[0010] Preferably, match the diagnostic input conditions with the atlas factors in the pumping station diagnostic atlas to obtain the target atlas factors corresponding to the water pump pumping station, specifically as follows: Perform keyword matching on the diagnostic keywords of the operation diagnostic factors in the diagnostic input conditions with the factor keywords of the atlas factors to obtain the first matching atlas factors corresponding to the operation diagnostic factors; Perform keyword feature matching on the diagnostic keyword features of the operation diagnostic factors with the factor keyword features of the first matching atlas factors to obtain the target atlas factors corresponding to the operation diagnostic factors.

[0011] Preferably, obtain the target pointing atlas factors corresponding to the target atlas factors based on the factor pointing marks of the water pump pumping station corresponding to the target atlas factors, specifically as follows: The target pointing atlas factors include target forward atlas factors and target reverse atlas factors; If the operation diagnostic factor corresponding to the target atlas factor is an operation parameter diagnostic factor, obtain the forward pointing mark of the target atlas factor; and obtain the target forward atlas factor corresponding to the target atlas factor based on the forward pointing mark; If the operation diagnostic factor corresponding to the target atlas factor is an operation status diagnostic factor, obtain the reverse pointing mark of the target atlas factor; and obtain the target reverse atlas factor corresponding to the target atlas factor based on the reverse pointing mark.

[0012] Preferably, obtain the target forward atlas factor corresponding to the target atlas factor based on the forward pointing mark, specifically as follows: Obtain the forward connection track of the target atlas factor based on the forward pointing mark of the target atlas factor, and record all the atlas factors in the forward connection track as the target forward atlas factors.

[0013] Preferably, obtain the target reverse atlas factor corresponding to the target atlas factor based on the reverse pointing mark, specifically as follows: Obtain the reverse connection track of the target atlas factor based on the reverse pointing mark of the target atlas factor, and record all the atlas factors in the reverse connection track as the target reverse atlas factors.

[0014] Preferably, based on the diagnostic result set, the operation diagnosis result of the water pump pumping station is obtained, specifically: Based on the factor keywords of the target-directed atlas factor in the diagnostic result set and the factor keyword features corresponding to the factor keywords, the operation diagnosis result of the water pump pumping station is formed.

[0015] In summary, the beneficial effects of this application are as follows: This application generates atlas factors based on the historical diagnosis results and historical diagnosis factors of the water pump pumping station, and obtains the factor pointing marks of the atlas factors according to the corresponding relationship between the historical diagnosis results and historical diagnosis factors; generates the factor connection trajectories between the atlas factors based on the factor pointing marks, and constructs the pumping station diagnosis atlas of the water pump pumping station according to the atlas factors and the factor connection trajectories between the atlas factors; in addition, obtains the pumping station operation monitoring data of the water pump pumping station, and obtains the operation diagnosis factors of the water pump pumping station according to the pumping station operation monitoring data; generates the diagnostic input conditions of the water pump pumping station according to the operation diagnosis factors; inputs the diagnostic input conditions into the pumping station diagnosis atlas, and matches the diagnostic input conditions with the atlas factors in the pumping station diagnosis atlas to obtain the target atlas factors corresponding to the water pump pumping station; obtains the target-directed atlas factors corresponding to the target atlas factors according to the factor pointing marks of the target atlas factors corresponding to the water pump pumping station; finally, constructs the diagnostic result set according to the target-directed atlas factors corresponding to the target atlas factors, and obtains the operation diagnosis result of the water pump pumping station according to the diagnostic result set, realizing a comprehensive and accurate operation diagnosis of the actual operation situation of the water pump pumping station in combination with the historical operation situation of the water pump pumping station, and improving the comprehensiveness and accuracy of the operation diagnosis result of the water pump pumping station. Description of the Drawings

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, some of the drawings in the embodiments of the present application will be briefly described below. It should be understood that the following drawings only show some embodiments of the present application, and therefore should not be considered as limiting the scope of the present application.

[0017] Figure 1 It is a schematic flowchart of the water pump pumping station operation intelligent diagnosis device and diagnosis method provided by the present application. Detailed Embodiments

[0018] The following combines the embodiments and Figure 1 Further detailed description of the present application will be given below, but the implementation manners of the present application are not limited thereto.

[0019] Referring to Figure 1 As shown, it is a schematic flowchart of the water pump pumping station operation intelligent diagnosis device and diagnosis method provided by the embodiment of the present application.

[0020] The water pump pumping station operation intelligent diagnosis device and diagnosis method include: Step S1: Obtain the historical diagnostic data of the water pump pumping station. The historical diagnostic data includes historical diagnostic results and historical diagnostic factors corresponding to the historical diagnostic results; Step S2: Generate atlas factors based on the historical diagnostic results and historical diagnostic factors, and obtain the factor pointing marks of the atlas factors according to the corresponding relationship between the historical diagnostic results and historical diagnostic factors; Generate the factor connection trajectories between the atlas factors based on the factor pointing marks, and construct the pumping station diagnostic atlas of the water pump pumping station according to the atlas factors and the factor connection trajectories between the atlas factors; Step S3: Obtain the pumping station operation monitoring data of the water pump pumping station, and obtain the operation diagnostic factors of the water pump pumping station based on the pumping station operation monitoring data; Step S4: Generate the diagnostic input conditions of the water pump pumping station according to the operation diagnostic factors; Input the diagnostic input conditions into the pumping station diagnostic atlas, and match the diagnostic input conditions with the atlas factors in the pumping station diagnostic atlas to obtain the target atlas factors corresponding to the water pump pumping station; Step S5: Obtain the target pointing atlas factors corresponding to the target atlas factors according to the factor pointing marks of the target atlas factors corresponding to the water pump pumping station; Step S6: Construct a diagnostic result set according to the target pointing atlas factors corresponding to the target atlas factors, and obtain the operation diagnostic results of the water pump pumping station according to the diagnostic result set.

[0021] Generate atlas factors based on the historical diagnostic results and historical diagnostic factors, specifically: Set the atlas factor template, and the atlas factor template includes a keyword sub-template and a keyword feature sub-template; Perform semantic analysis on both the historical diagnostic results and historical diagnostic factors to obtain the semantic analysis results corresponding to the historical diagnostic results and historical diagnostic factors; And generate the atlas factors corresponding to the historical diagnostic results and historical diagnostic factors according to the semantic analysis results and the atlas factor template; The pumping station diagnostic atlas contains at least one atlas factor, and each atlas factor includes a factor keyword and a factor keyword feature corresponding to the factor keyword.

[0022] In some embodiments, the atlas factor templates all include a keyword sub-template and a keyword feature sub-template, where the keyword sub-template corresponds to a keyword, and in practical applications, the keyword corresponding to the keyword sub-template can be preset according to the actual situation of the water pump pumping station; For example, the keyword of the keyword sub-template can be set as the pumping station operation parameters of the water pump pumping station, such as bearing temperature, motor winding temperature, lubricating oil temperature, etc. At this time, the keyword feature sub-template is the keyword index value corresponding to the keyword of the keyword sub-template. For example, if the keyword of the keyword sub-template is bearing temperature, the keyword feature sub-template can be the specific value of the bearing temperature or the change frequency of the bearing temperature, etc.; The keywords of the keyword sub-template can also be set to the operation status of the pump station, such as bearing failure, abnormal pump shaft, motor short circuit, etc. At this time, the keyword feature sub-template is the keyword index status corresponding to the keyword of the keyword sub-template. For example, if the keyword of the keyword sub-template is bearing temperature, the keyword feature sub-template can be abnormal bearing amplitude status, abnormal bearing temperature status, etc.

[0023] It should be noted that each graph factor in the pump station diagnosis graph corresponds to a unique keyword sub-template and keyword feature sub-template. There are graph factors in the pump station diagnosis graph with the same keyword sub-template but different keyword feature sub-templates. For example, if the keywords of the keyword sub-template in two graph factors are both bearing temperature, the keyword index data of the keyword feature sub-template in one graph factor is 20 degrees Celsius, and the keyword index data of the keyword feature sub-template in the other graph factor is 30 degrees Celsius.

[0024] Performing semantic analysis on both historical diagnosis results and historical diagnosis factors refers to extracting keywords and keyword index data from historical diagnosis results and historical diagnosis factors. It should be noted that there may be multiple historical data during the semantic extraction process. In actual applications, the historical diagnosis results and their corresponding historical diagnosis factors are grouped and semantic extraction is performed on a group-by-group basis. The semantic analysis result is the keyword in the historical diagnosis result and historical diagnosis factor and the keyword index value or keyword index status corresponding to the keyword. And it should be noted that historical diagnosis data refers to all historical diagnosis data of the pump station, including all possible diagnosis situations of the pump station.

[0025] In addition, the factor keyword of the graph factor is constituted by the keyword and keyword sub-template in the diagnosis result. The factor keyword feature of the graph factor is constituted by the keyword index value corresponding to the keyword in the diagnosis result and the keyword feature sub-template, or the factor keyword feature of the graph factor is constituted by the keyword index status corresponding to the keyword in the diagnosis result and the keyword feature sub-template.

[0026] And the factor pointing mark of the graph factor is obtained based on the corresponding relationship between the historical diagnosis result and the historical diagnosis factor. Specifically: The corresponding relationship between the historical diagnosis result and the historical diagnosis factor is the diagnostic causal relationship between the historical diagnosis result and the historical diagnosis factor; The factor pointing mark of the graph factor is obtained based on the diagnostic causal relationship, and each graph factor has a factor pointing mark; Among them, the factor pointing mark includes a forward pointing mark and a reverse pointing mark.

[0027] In some embodiments, the diagnostic causal relationship between historical diagnostic results and historical diagnostic factors means that if a historical diagnostic factor is the cause of a historical diagnostic result, the historical diagnostic factor is recorded as the cause and the historical diagnostic result is recorded as the effect; Each atlas factor has at least one factor pointing marker. If the factor keyword in the atlas factor comes from a historical diagnostic factor, the atlas factor is recorded as a cause atlas factor; if the factor keyword in the atlas factor comes from a historical diagnostic result, the atlas factor is recorded as an effect atlas factor; among them, the factor pointing marker of the cause atlas factor is a forward pointing marker, and the pointing result of the forward pointing marker is the effect atlas factor corresponding to the cause atlas factor; among them, the factor pointing marker of the effect atlas factor is a backward pointing marker, and the pointing result of the backward pointing marker is the cause atlas factor corresponding to the effect atlas factor; in practical applications, an atlas factor may be both a cause atlas factor and an effect atlas factor, that is, in practical applications, the atlas factor may have both a forward pointing marker and a backward pointing marker; Connect the atlas factor with the atlas factor that is the pointing result of the factor pointing marker to obtain the factor connection trajectory between atlas factors, and only the atlas factors with diagnostic causal relationships have a factor connection trajectory.

[0028] Obtain the pump station operation monitoring data of the water pump station, and obtain the operation diagnostic factors of the water pump station based on the pump station operation monitoring data. Specifically: The pump station operation monitoring data includes the pump station operation parameter data and the pump station operation status data of the water pump station; Obtain the operation parameter diagnostic factors of the water pump station based on the pump station operation parameter data, and obtain the operation status diagnostic factors of the water pump station based on the pump station operation status data; The operation diagnostic factors of the water pump station are composed of the operation parameter diagnostic factors and the operation status diagnostic factors.

[0029] In some embodiments, the operation parameter diagnostic factors may specifically be operation parameters such as motor winding temperature, bearing temperature, and motor vibration frequency, and the operation status diagnostic factors may specifically be operation statuses such as bearing failure, cavitation fault, and pipeline blockage; The operation diagnostic factors of the water pump station being composed of the operation parameter diagnostic factors and the operation status diagnostic factors means that the operation diagnostic factors of the water pump station can be the operation parameter diagnostic factors or the operation status diagnostic factors.

[0030] Generate the diagnostic input conditions of the water pump station based on the operation diagnostic factors. Specifically: Perform semantic analysis on the operation diagnostic factors to obtain the semantic analysis result of the operation diagnostic factors; Generate the operation diagnostic factors corresponding to the operation diagnostic factors based on the semantic analysis result and the atlas factor template, where the operation diagnostic factors include diagnostic keywords and diagnostic keyword features; And the operation diagnosis factors corresponding to the operation diagnosis factors constitute the diagnosis input conditions of the water pump pumping station.

[0031] In some embodiments, the semantic analysis of the operation diagnosis factors refers to extracting keywords and keyword index data from the operation diagnosis factors according to the semantics of the operation diagnosis factors; In addition, the diagnosis keywords of the operation diagnosis factors are constituted by the keywords and keyword sub-templates in the semantic analysis results, and the diagnosis keyword features of the operation diagnosis factors are constituted by the keyword index values corresponding to the keywords and keyword feature sub-templates in the semantic analysis results; the operation diagnosis factors are constituted by the diagnosis keywords and diagnosis keyword features; all the operation diagnosis factors corresponding to the operation diagnosis factors are included in the diagnosis input conditions of the water pump pumping station.

[0032] And the diagnosis input conditions are matched with the atlas factors in the pumping station diagnosis atlas to obtain the target atlas factors corresponding to the water pump pumping station, specifically: All the diagnosis keywords of the operation diagnosis factors in the diagnosis input conditions are subjected to keyword matching with the factor keywords of the atlas factors to obtain the first matching atlas factors corresponding to the operation diagnosis factors; The diagnosis keyword features of the operation diagnosis factors are subjected to keyword feature matching with the factor keyword features of the first matching atlas factors to obtain the target atlas factors corresponding to the operation diagnosis factors.

[0033] In some embodiments, if the factor keywords of the atlas factors are the same as the diagnosis keywords of the operation diagnosis factors, the atlas factors are recorded as the first matching atlas factors corresponding to the operation diagnosis factors; if the factor keyword features of the first matching atlas factors are the same as the diagnosis keyword features of the operation diagnosis factors, the first atlas keyword is recorded as the target atlas factors corresponding to the operation diagnosis factors.

[0034] According to the factor pointing marks corresponding to the target atlas factors of the water pump pumping station, the target pointing atlas factors corresponding to the target atlas factors are obtained, specifically: The target pointing atlas factors include target forward atlas factors and target reverse atlas factors; If the operation diagnosis factor corresponding to the target atlas factor is an operation parameter diagnosis factor, obtain the forward inference pointing mark of the target atlas factor; and obtain the target forward atlas factor corresponding to the target atlas factor according to the forward inference pointing mark; If the operation diagnosis factor corresponding to the target atlas factor is an operation state diagnosis factor, obtain the reverse inference pointing mark of the target atlas factor; and obtain the target reverse atlas factor corresponding to the target atlas factor according to the reverse inference pointing mark.

[0035] In some embodiments, if the operation diagnosis factor corresponding to the target graph factor is an operation parameter diagnosis factor, the fault state of the water pump pumping station is diagnosed based on the pumping station operation parameter data of the water pump pumping station; the target forward graph factor is the pointing result of the forward pointing marker of the target graph factor; If the operation diagnosis factor corresponding to the target graph factor is an operation state diagnosis factor, the operation factors causing the operation state of the water pump pumping station are diagnosed based on the pumping station operation state data of the water pump pumping station, and the target reverse graph factor is the pointing result of the reverse pointing marker of the target graph factor.

[0036] And the target forward graph factor corresponding to the target graph factor is obtained according to the forward pointing marker, specifically: The forward connection track of the target graph factor is obtained according to the forward pointing marker of the target graph factor, and the graph factors in the forward connection track are all recorded as the target forward graph factors.

[0037] In some embodiments, the pointing graph factor corresponding to the forward pointing marker can be obtained according to the forward pointing marker of the target graph factor. If the pointing graph factor still has a forward pointing marker, continue to perform forward inference according to the forward pointing marker of the pointing graph factor until the pointing graph factor does not have a forward pointing marker. The pointing graph factor without a forward pointing marker can be recorded as the termination graph factor. Starting from the target graph factor, with the termination graph factor as the end point, and connecting the pointing graph factors between the target graph factor and the termination graph factor as nodes, the forward connection track of the target graph factor is obtained; among them, the termination graph factor, the target graph factor, and the pointing graph factors between the target graph factor and the termination graph factor are all recorded as the target forward graph factors.

[0038] And the target reverse graph factor corresponding to the target graph factor is obtained according to the reverse pointing marker, specifically: The reverse connection track of the target graph factor is obtained according to the reverse pointing marker of the target graph factor, and the graph factors in the reverse connection track are all recorded as the target reverse graph factors.

[0039] In some embodiments, the pointing graph factor corresponding to the reverse pointing marker can be obtained according to the reverse pointing marker of the target graph factor. If the pointing graph factor still has a reverse pointing marker, continue to perform reverse inference according to the reverse pointing marker of the pointing graph factor until the pointing graph factor does not have a reverse pointing marker. The pointing graph factor without a reverse pointing marker can be recorded as the termination graph factor. Starting from the target graph factor, with the termination graph factor as the end point, and connecting the pointing graph factors between the target graph factor and the termination graph factor as nodes, the reverse connection track of the target graph factor is obtained; among them, the termination graph factor, the target graph factor, and the pointing graph factors between the target graph factor and the termination graph factor are all recorded as the target reverse graph factors.

[0040] And obtain the operation diagnosis result of the water pump pumping station according to the diagnosis result set, specifically: According to the factor keywords of the target-oriented atlas factor in the diagnosis result set and the factor keyword features corresponding to the factor keywords, the operation diagnosis result of the water pump pumping station is formed.

[0041] In some embodiments, if the operation diagnosis factor is the pumping station operation parameter data of the water pump pumping station, the target-oriented atlas factor in the diagnosis result set is the target positive atlas factor. At this time, the influence of the pumping station operation parameter data on the operation of the water pump pumping station is obtained according to the pumping station operation parameter data of the water pump pumping station; if the operation diagnosis factor is the pumping station operation state data of the water pump pumping station, the target-oriented atlas factor in the diagnosis result set is the target negative atlas factor. At this time, the operation parameter reason for the corresponding pumping station operation state data of the water pump pumping station is obtained according to the pumping station operation state data of the water pump pumping station.

[0042] The above is only the preferred implementation manner of this application. The protection scope of this application is not limited to the above embodiments. All technical solutions falling within the idea of this application belong to the protection scope of this application. It should be pointed out that for those of ordinary skill in the art in this technical field, several improvements and refinements made without departing from the principle of this application should also be regarded as the protection scope of this application.

Claims

1. Intelligent diagnostic device and diagnostic method for the operation of a water pump pumping station, characterized in that, Including: Step S1: Obtain the historical diagnosis data of the water pump pumping station, where the historical diagnosis data includes historical diagnosis results and historical diagnosis factors corresponding to the historical diagnosis results; Step S2: Generate map factors based on the historical diagnosis results and historical diagnosis factors, and obtain the factor pointing marks of the map factors according to the corresponding relationship between the historical diagnosis results and historical diagnosis factors; Generate the factor connection trajectories between the map factors according to the factor pointing marks, and construct the pumping station diagnosis map of the water pump pumping station based on the map factors and the factor connection trajectories between the map factors; Step S3: Obtain the pumping station operation monitoring data of the water pump pumping station, and obtain the operation diagnosis factors of the water pump pumping station based on the pumping station operation monitoring data; Step S4: Generate the diagnostic input conditions of the water pump pumping station according to the operation diagnosis factors; input the diagnostic input conditions into the pumping station diagnosis map, and match the diagnostic input conditions with the map factors in the pumping station diagnosis map to obtain the target map factors corresponding to the water pump pumping station; Step S5: Obtain the target pointing map factors corresponding to the target map factors according to the factor pointing marks of the target map factors corresponding to the water pump pumping station; Step S6: Construct a diagnostic result set according to the target pointing map factors corresponding to the target map factors, and obtain the operation diagnosis result of the water pump pumping station according to the diagnostic result set.

2. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 1, characterized in that, Generating map factors based on the historical diagnosis results and historical diagnosis factors specifically includes: Set a map factor template, where the map factor template includes a keyword sub-template and a keyword feature sub-template; Perform semantic analysis on both the historical diagnosis results and historical diagnosis factors to obtain the semantic analysis results corresponding to the historical diagnosis results and historical diagnosis factors; Generate the map factors corresponding to the historical diagnosis results and historical diagnosis factors according to the semantic analysis results and the map factor template; At least one map factor is included in the pumping station diagnosis map, and each map factor includes a factor keyword and a factor keyword feature corresponding to the factor keyword.

3. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 2, characterized in that, And obtaining the factor pointing marks of the map factors according to the corresponding relationship between the historical diagnosis results and historical diagnosis factors specifically includes: The corresponding relationship between the historical diagnosis results and historical diagnosis factors is the diagnostic causal relationship between the historical diagnosis results and historical diagnosis factors; Obtain the factor pointing marks of the map factors according to the diagnostic causal relationship, and each map factor has a factor pointing mark; Among them, the factor pointing marks include a forward pointing mark and a backward pointing mark.

4. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 3, characterized in that, Obtaining the pumping station operation monitoring data of the water pump pumping station and obtaining the operation diagnosis factors of the water pump pumping station based on the pumping station operation monitoring data specifically includes: The pumping station operation monitoring data includes the pumping station operation parameter data and the pumping station operation status data of the water pump pumping station; Obtain the operation parameter diagnosis factors of the water pump pumping station according to the pumping station operation parameter data, and obtain the operation status diagnosis factors of the water pump pumping station according to the pumping station operation status data; The operation diagnosis factors of the water pump pumping station are composed of the operation parameter diagnosis factors and the operation status diagnosis factors.

5. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 4, characterized in that, Generating the diagnostic input conditions of the water pump pumping station according to the operation diagnosis factors specifically includes: Perform semantic analysis on the operation diagnosis factors to obtain the semantic analysis results of the operation diagnosis factors; Generate operation diagnosis factors corresponding to the operation diagnosis factors based on the semantic analysis results and the atlas factor template, where the operation diagnosis factors include diagnosis keywords and diagnosis keyword features; And constitute the diagnosis input conditions of the water pump pumping station based on the operation diagnosis factors corresponding to the operation diagnosis factors.

6. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 5, characterized in that, And match the diagnosis input conditions with the atlas factors in the pumping station diagnosis atlas to obtain the target atlas factors corresponding to the water pump pumping station, specifically: Perform keyword matching on the diagnosis keywords of the operation diagnosis factors in the diagnosis input conditions with the factor keywords of the atlas factors to obtain the first matching atlas factors corresponding to the operation diagnosis factors; Perform keyword feature matching on the diagnosis keyword features of the operation diagnosis factors with the factor keyword features of the first matching atlas factors to obtain the target atlas factors corresponding to the operation diagnosis factors.

7. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 6, characterized in that, Obtain the target pointing atlas factors corresponding to the target atlas factors based on the factor pointing marks corresponding to the water pump pumping station, specifically: The target pointing atlas factors include target forward atlas factors and target reverse atlas factors; If the operation diagnosis factor corresponding to the target atlas factor is an operation parameter diagnosis factor, obtain the forward inference pointing mark of the target atlas factor; And obtain the target forward atlas factor corresponding to the target atlas factor based on the forward inference pointing mark; If the operation diagnosis factor corresponding to the target atlas factor is an operation status diagnosis factor, obtain the reverse inference pointing mark of the target atlas factor; And obtain the target reverse atlas factor corresponding to the target atlas factor based on the reverse inference pointing mark.

8. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 7, characterized in that, And obtain the target forward atlas factor corresponding to the target atlas factor based on the forward inference pointing mark, specifically: Obtain the forward inference connection trajectory of the target atlas factor based on the forward inference pointing mark of the target atlas factor, and record all the atlas factors in the forward inference connection trajectory as target forward atlas factors.

9. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 8, characterized in that, And obtain the target reverse atlas factor corresponding to the target atlas factor based on the reverse inference pointing mark, specifically: Obtain the reverse inference connection trajectory of the target atlas factor based on the reverse inference pointing mark of the target atlas factor, and record all the atlas factors in the reverse inference connection trajectory as target reverse atlas factors.

10. The intelligent diagnosis device and diagnosis method for the operation of a water pump pumping station according to claim 9, characterized in that, And obtain the operation diagnosis result of the water pump pumping station based on the diagnosis result set, specifically: Constitute the operation diagnosis result of the water pump pumping station based on the factor keywords of the target pointing atlas factors in the diagnosis result set and the factor keyword features corresponding to the factor keywords.

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