A leakage inspection method and platform for lubrication pump groups

Abstract

The present invention discloses a leakage inspection method and platform for a lubrication pump group, and relates to the technical field of lubrication pump detection. The method comprises: matching a first predetermined detection point of a first lubrication pump in a lubrication pump detection database; obtaining a first leakage detection result through a first leakage detector; when the first leakage detection result meets a predetermined constraint, calling a predetermined leakage prediction strategy; obtaining a first predicted leakage amount; when the first predicted leakage amount is not within a predetermined leakage amount threshold, calling a predetermined leakage inspection strategy; obtaining first leakage inspection information; and performing leakage operation and maintenance on the first lubrication pump. The method solves the technical problems of the existing lubrication pump leakage inspection, such as the difficulty in realizing instant perception and accurate judgment of the lubrication pump leakage situation, the inability to predict potential leakage risks in advance, and the poor efficiency, real-time performance, and accuracy of lubrication pump detection, and achieves the technical effect of improving the efficiency, real-time performance, and accuracy of the lubrication pump group leakage inspection.

Description

Technical Field

[0001] The present application relates to the technical field of lubrication pump detection, and in particular to a leakage inspection method and platform for a lubrication pump group. Background Art

[0002] In the modern industrial field, especially in industries involving complex mechanical systems and high-precision manufacturing, the stable operation of the lubrication system is crucial to ensuring equipment performance, extending equipment life and improving production efficiency. As an indispensable part of the lubrication system, the lubrication pump group is responsible for providing continuous and stable lubricants to various key components to reduce friction, wear and heat generation. However, with the increase in operating time, the pump body and its connecting pipes, valves and other components in the lubrication pump group are prone to leakage, which will not only lead to waste of lubricants, but also may cause equipment failures and even affect the safe and stable operation of the entire production line. Traditional lubrication pump group maintenance methods mostly rely on manual inspections. This method is not only inefficient, but also difficult to detect subtle leakage problems in time, and realize instant perception and accurate judgment of the leakage of the lubrication pump group, resulting in delayed fault handling, increased maintenance costs and downtime, and traditional methods lack prediction and early warning mechanisms, and cannot predict potential leakage risks in advance.

[0003] Therefore, in the current technologies related to leakage inspection of lubrication pump groups, there are technical problems such as difficulty in achieving instant perception and accurate judgment of lubrication pump leakage conditions and inability to predict potential leakage risks in advance, which in turn leads to poor efficiency, real-time performance and accuracy of lubrication pump detection. Summary of the invention

[0004] The present application provides a leakage inspection method and platform for a lubrication pump group, and adopts technical means such as real-time monitoring, data analysis and prediction, automatic inspection and operation and maintenance processing to solve the technical problems existing in the existing lubrication pump leakage inspection, such as difficulty in realizing instant perception and accurate judgment of the lubrication pump leakage situation, and inability to predict potential leakage risks in advance, which leads to poor efficiency, real-time performance and accuracy of lubrication pump detection. The application achieves the technical effect of improving the efficiency, real-time performance and accuracy of leakage inspection of lubrication pump groups.

[0005] The present application provides a leakage inspection method for a lubrication pump group, the method comprising: matching a first predetermined inspection point of a first lubrication pump in a lubrication pump inspection database, the first lubrication pump being any one of the lubrication pumps in the lubrication pump group; obtaining a first leakage detection result of a first inspection point in the first predetermined inspection points through a first leakage detector, wherein the first leakage detector is arranged at the first inspection point, the first inspection point being any one of the first predetermined inspection points; when the first leakage detection result meets a predetermined constraint, issuing a leakage prediction instruction, and based on the leakage The prediction instruction calls a predetermined leakage prediction strategy; according to the predetermined leakage prediction strategy, the first multidimensional leakage feature information of the first lubrication pump collected by the multidimensional features is analyzed to obtain a first predicted leakage amount; when the first predicted leakage amount is not within the predetermined leakage amount threshold, a leakage inspection instruction is issued, and based on the leakage inspection instruction, a predetermined leakage inspection strategy is called; according to the predetermined leakage inspection strategy, the leakage detector is activated to perform a leakage inspection on the first lubrication pump to obtain first leakage inspection information; according to the first leakage inspection information, leakage operation and maintenance processing is performed on the first lubrication pump.

[0006] In a possible implementation, the first predetermined detection point of the first lubrication pump is matched in the lubrication pump detection database, and the following processing is also performed: extracting the first historical leakage record in the historical lubrication pump leakage record, the first historical leakage record refers to the first pump type and the first leakage point of the first historical lubrication pump; constructing the lubrication pump detection database according to the first corresponding relationship between the first pump type and the first leakage point.

[0007] In a possible implementation, the leakage inspection method for a lubrication pump group performs the following processing: the first leakage detector includes a first humidity detector and a first oil stain detection belt, and the first humidity of the first detection point is obtained by the first humidity detector; the first oil stain area of ​​the first detection point is obtained by the first oil stain detection belt; when the first humidity meets the predetermined humidity threshold in the predetermined constraint, and / or the first oil stain area meets the predetermined oil stain area in the predetermined constraint, then the first leakage detection result meets the predetermined constraint.

[0008] In a possible implementation, the leakage inspection method for a lubrication pump group performs the following processing: the first historical leakage record also includes the first historical leakage characteristic information of the first historical lubrication pump and the first historical leakage amount of the first leakage point; extracting the predetermined leakage factor in the predetermined leakage prediction strategy; screening the first historical leakage characteristic information based on the predetermined leakage factor to obtain the first historical multidimensional leakage characteristic information; performing machine learning on the first historical data group formed based on the first historical multidimensional leakage characteristic information and the first historical leakage amount to obtain a leakage amount prediction model; analyzing the first multidimensional leakage characteristic information through the leakage amount prediction model to obtain the first predicted leakage amount.

[0009] In a possible implementation, the leakage inspection method for a lubrication pump group further performs the following processing: the predetermined leakage factor includes a pump quality factor, a pump wear factor and a seal factor, and the pump quality factor refers to the manufacturing accuracy of the pump.

[0010] In a possible implementation, the leakage inspection method for a lubrication pump group further performs the following processing: reading predetermined internal characteristics, and collecting internal operating characteristics of the first lubrication pump based on the predetermined internal characteristics to obtain a first internal characteristic parameter; reading predetermined external characteristics, and collecting external operating characteristics of the first lubrication pump based on the predetermined external characteristics to obtain a first external characteristic parameter; obtaining a pump wear coefficient by weighted normalization of the first internal characteristic parameter and the first external characteristic parameter; and using the pump wear coefficient as the pump wear factor.

[0011] In a possible implementation, the leakage inspection method for a lubrication pump group further performs the following processing: the predetermined internal characteristics include a pump pressure value, a pump temperature value, and a pump flow rate, and the predetermined external characteristics include an ambient temperature, an ambient pressure, and an ambient vibration.

[0012] In a possible implementation, the leakage inspection method for a lubrication pump group also performs the following processing: extracting a predetermined inspection path in the predetermined leakage inspection strategy; matching a first acoustic wave detection signal of a first inspection point in the first leakage inspection information in combination with the predetermined inspection path; comparing the first acoustic wave detection signal with an acoustic wave signal baseline to obtain a first comparison result; when the first comparison result exceeds a predetermined deviation, issuing a first leakage warning instruction, wherein the first leakage warning instruction is used to perform emergency leakage treatment on the first inspection point.

[0013] The present application also provides a leakage inspection platform for a lubrication pump group, including: a first predetermined detection point matching module, used to match a first predetermined detection point of a first lubrication pump in a lubrication pump detection database, wherein the first lubrication pump is any one of the lubrication pumps in the lubrication pump group; a first leakage detection result acquisition module, used to acquire a first leakage detection result of a first detection point in the first predetermined detection points through a first leakage detector, wherein the first leakage detector is arranged at the first detection point, and the first detection point is any one of the first predetermined detection points; a predetermined leakage prediction strategy calling module, used to issue a leakage prediction instruction when the first leakage detection result meets the predetermined constraints, and call the prediction strategy based on the leakage prediction instruction. A predetermined leakage prediction strategy; a first predicted leakage amount acquisition module, used to analyze the first multi-dimensional leakage feature information of the first lubrication pump collected by the multi-dimensional features according to the predetermined leakage prediction strategy, and obtain a first predicted leakage amount; a predetermined leakage inspection strategy calling module, used to issue a leakage inspection instruction when the first predicted leakage amount is not within the predetermined leakage amount threshold, and call the predetermined leakage inspection strategy based on the leakage inspection instruction; a first leakage inspection information acquisition module, used to activate the leakage inspection device to perform a leakage inspection on the first lubrication pump according to the predetermined leakage inspection strategy, and obtain first leakage inspection information; a leakage operation and maintenance processing module, used to perform leakage operation and maintenance processing on the first lubrication pump according to the first leakage inspection information.

[0014] The present application proposes a leakage inspection method and platform for a lubrication pump group, which matches the first predetermined inspection point of the first lubrication pump in the lubrication pump inspection database; obtains the first leakage detection result through the first leakage detector; when the first leakage detection result meets the predetermined constraint, issues a leakage prediction instruction and calls the predetermined leakage prediction strategy; obtains the first predicted leakage amount; when the first predicted leakage amount is not within the predetermined leakage amount threshold, issues a leakage inspection instruction and calls the predetermined leakage inspection strategy; obtains the first leakage inspection information; and performs leakage operation and maintenance on the first lubrication pump. The present application solves the technical problems that the existing leakage inspection of lubrication pumps is difficult to realize the instant perception and accurate judgment of the leakage situation of the lubrication pump, and is unable to predict the potential leakage risk in advance, which leads to the poor efficiency, real-time performance and accuracy of the lubrication pump detection, and achieves the technical effect of improving the efficiency, real-time performance and accuracy of the leakage inspection of the lubrication pump group. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solution of the embodiment of the present disclosure, the accompanying drawings of the embodiment of the present disclosure are briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the platform according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0016] Figure 1 A schematic flow chart of a leakage inspection method for a lubrication pump group provided in an embodiment of the present application;

[0017] Figure 2 A schematic structural diagram of a leakage inspection platform for a lubrication pump group provided in an embodiment of the present application.

[0018] Explanation of the accompanying drawings: first predetermined detection point matching module 10, first leakage detection result acquisition module 20, predetermined leakage prediction strategy calling module 30, first predicted leakage amount acquisition module 40, predetermined leakage inspection strategy calling module 50, first leakage inspection information acquisition module 60, leakage operation and maintenance processing module 70. DETAILED DESCRIPTION

[0019] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0020] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0021] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, platform, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0022] The present application embodiment provides a leakage inspection method for a lubrication pump group, such as Figure 1 As shown, the method includes:

[0023] Step S100, matching a first predetermined detection point of a first lubrication pump in a lubrication pump detection database, wherein the first lubrication pump is any one of the lubrication pumps in the lubrication pump group. The lubrication pump detection database is a database that stores information related to the lubrication pump group, including but not limited to basic information of each lubrication pump (such as model, serial number, installation location, etc.), historical detection records, maintenance records, and preset detection points of each lubrication pump (i.e., specific locations or components that need to be checked regularly or irregularly to confirm their status or performance), etc. Specifically, information of all predetermined detection points associated with the currently selected first lubrication pump is retrieved from the lubrication pump detection database, including all detection points of the lubrication pump and their detailed information (such as location, detection cycle, detection standard, etc.), each detection point corresponds to a specific location or component on the lubrication pump, such as a seal, a bearing, a connecting pipe, etc., and one of the components is selected as the first predetermined detection point, wherein the first lubrication pump is any one of the lubrication pumps in the lubrication pump group.

[0024] Step S100 further includes step S110, extracting the first historical leakage record from the historical lubrication pump leakage record, wherein the first historical leakage record refers to the first pump type and the first leakage point of the first historical lubrication pump; step S120, constructing the lubrication pump detection database according to the first corresponding relationship between the first pump type and the first leakage point. The first historical leakage record refers to the type and leakage point of the first historical lubrication pump extracted from the historical lubrication pump leakage record, wherein the first historical lubrication pump refers to a lubrication pump that has leakage and is recorded, the first pump type refers to the pump type to which the first historical lubrication pump belongs, such as a centrifugal pump, a plunger pump, etc., and the first leakage point refers to the specific position or component where the leakage occurs on the first historical lubrication pump, such as a seal, a bearing, etc.; the points where leakage has occurred in history are used as the key points to be detected currently, and different pump types have different corresponding key points, and a corresponding relationship between the two is established. Specifically, a corresponding table or data structure is created in the database to store the pump type, the leakage point and other related information (such as detection cycle, detection standard, maintenance record, etc.), and then these tables are filled according to the information in the historical leakage record to establish a corresponding relationship between the pump type and the leakage point, as well as other necessary associated data. The first corresponding relationship refers to the association between the first pump type and the first leakage point, that is, for a certain type of lubrication pump, what are its common leakage points or vulnerable parts.

[0025] Step S200, obtaining a first leakage detection result of a first detection point among the first predetermined detection points through a first leakage detector, wherein the first leakage detector is arranged at the first detection point, and the first detection point is any detection point among the first predetermined detection points. Among the multiple predetermined detection points of the lubrication pump group, a specific detection point (first detection point) is selected, and a specially designed leakage detector (first leakage detector) is used to detect it, so as to obtain whether there is leakage at the point and detailed information of the leakage situation (first leakage detection result), wherein the first leakage detector is a device specially designed for detecting leakage, including a humidity detector and an oil stain detection belt, which is installed or placed at a specific location, namely, the first detection point.

[0026] In a possible implementation, step S200 further includes: the first leakage detector includes a first humidity detector and a first oil stain detection belt, step S210, obtaining the first humidity of the first detection point through the first humidity detector; step S220, obtaining the first oil stain area of ​​the first detection point through the first oil stain detection belt; step S230, when the first humidity meets the predetermined humidity threshold in the predetermined constraint, and / or the first oil stain area meets the predetermined oil stain area in the predetermined constraint, then the first leakage detection result meets the predetermined constraint. The first humidity detector is used to measure the humidity level of the area where the first detection point is located. Leakage often causes changes in the humidity of the surrounding environment. By comparing the detected humidity (i.e., the first humidity) with the preset humidity threshold, it can be preliminarily determined whether there is a possibility of leakage in the area. If the detected humidity exceeds the preset threshold, it indicates that there may be leakage; the first oil stain detection tape is used to detect and quantify the oil stain area caused by leakage. The oil stain is direct evidence of many types of leakage (especially liquid leakage, such as oil, water, etc.). The oil stain detection tape can intuitively display the shape and size of the oil stain, thereby obtaining the first oil stain area. By comparing this area with the preset oil stain area (which may be a threshold indicating an acceptable or unacceptable degree of leakage), the existence of leakage and the severity of the leakage can be further confirmed; based on the detection results of humidity and oil stain, when the detected first humidity exceeds the preset humidity threshold or the detected first oil stain area exceeds the preset oil stain area threshold, or both conditions are met, it is considered that the first leakage detection result meets the preset constraint condition, that is, it is considered that there is a leakage problem at the detection point.

[0027] Step S300, when the first leakage detection result meets the predetermined constraint, a leakage prediction instruction is issued, and a predetermined leakage prediction strategy is retrieved based on the leakage prediction instruction. After the first detection point is detected by the first leakage detector, the leakage detection result obtained satisfies one or some previously set conditions (i.e., the predetermined constraint), and the system automatically issues a leakage prediction instruction according to the preset rules. This instruction is a signal for retrieving the corresponding leakage prediction strategy from the storage library, thereby triggering the subsequent leakage prediction and processing process, wherein the predetermined leakage prediction strategy is used to guide how to predict future leakage situations based on the collected leakage feature information, that is, based on the current leakage detection results, predict future leakage situations, and make preparations in advance to reduce the adverse effects of leakage on equipment, production or the environment.

[0028] Step S400: analyzing the first multi-dimensional leakage feature information of the first lubrication pump collected by the multi-dimensional feature according to the predetermined leakage prediction strategy to obtain a first predicted leakage amount. Collect multi-dimensional leakage feature information about the first lubrication pump, which may include but is not limited to leakage speed, leakage location, properties of the leaking liquid (such as color, transparency, viscosity, etc.), environmental conditions where leakage occurs (such as temperature, pressure, humidity, etc.), and the operating status of the equipment itself (such as vibration, noise, temperature distribution, etc.); the first multi-dimensional leakage feature information refers to specific leakage feature information related to the first lubrication pump obtained through the above-mentioned multi-dimensional feature collection process, which is used to construct a leakage prediction model; specifically, according to a predetermined leakage prediction strategy, the collected first multi-dimensional leakage feature information is analyzed, including data preprocessing (such as cleaning, conversion, normalization, etc.), feature selection or extraction, model training or parameter adjustment, etc., and useful information is extracted from these data for predicting the leakage amount. Finally, based on the multi-dimensional leakage feature information of the first lubrication pump and combined with the predetermined leakage prediction strategy, a predicted value, namely the first predicted leakage amount, is obtained, which represents the amount of leakage that may occur in the first lubrication pump in a certain time period in the future.

[0029] In a possible implementation, step S400 further includes step S410, wherein the first historical leakage record also includes the first historical leakage characteristic information of the first historical lubrication pump and the first historical leakage amount of the first leakage point. The first historical leakage record also includes the first historical leakage characteristic information of the first historical lubrication pump and the first historical leakage amount of the first leakage point, wherein the first historical leakage characteristic information refers to various characteristic information related to leakage collected when the first historical lubrication pump leaks, such as the leakage rate, location, properties of the liquid, environmental conditions, etc.; the first historical leakage amount refers to the size of the leakage amount actually measured in the first historical leakage event.

[0030] Step S420: extracting a predetermined leakage factor in the predetermined leakage prediction strategy.

[0031] Furthermore, step S420 also includes that the predetermined leakage factor includes a pump quality factor, a pump wear factor and a seal factor, and the pump quality factor refers to the manufacturing accuracy of the pump.

[0032] Preferably, the key factors affecting the leakage of the lubrication pump are determined from the predetermined leakage prediction strategy, that is, the predetermined leakage factors are extracted, each factor describes the potential cause or condition of the lubrication pump leakage from different angles, including pump quality factor, pump wear factor and seal factor, wherein the pump quality factor refers to the manufacturing accuracy of the pump, such as processing errors, improper assembly and other problems, which may lead to the pump body, seals and other components not fitting tightly enough, thereby increasing the risk of leakage; as the use time of the lubrication pump increases, its internal components (such as bearings, gears, seals, etc.) will gradually wear, and the wear will cause the gap between the components to increase, thereby causing leakage; the seal Seals are key components in lubrication pumps to prevent liquid leakage. The quality, selection, installation and use of seals will directly affect their sealing effect. Seal factors may include seal material, structure, aging degree, wear and other aspects. In addition, time aging and lubricant corrosion should also be considered. Time aging refers to the natural aging of the lubrication pump and its components over time, such as the decline in material properties, weakening of structural strength, etc., which increases the risk of leakage. If the lubricating oil contains corrosive substances or is affected by other factors (such as high temperature, high pressure, oxidation, etc.), corrosion may occur, damaging components such as the pump body and seals, leading to leakage.

[0033] Step 420 further includes step S421, reading a predetermined internal feature, and collecting internal operation features of the first lubrication pump based on the predetermined internal feature to obtain a first internal feature parameter. Step S422, reading a predetermined external feature, and collecting external operation features of the first lubrication pump based on the predetermined external feature to obtain a first external feature parameter. Step S423, obtaining a pump wear coefficient by weighted normalization of the first internal feature parameter and the first external feature parameter. Step S424, using the pump wear coefficient as the pump wear factor.

[0034] Furthermore, step S421 and step S422 also include that the predetermined internal characteristics include a pump pressure value, a pump temperature value and a pump flow rate, and the predetermined external characteristics include an ambient temperature, an ambient pressure and an ambient vibration.

[0035] Preferably, based on the predetermined internal characteristics, real-time data collection is performed on the first lubrication pump to collect and obtain its internal operating characteristics, and the collected internal operating characteristic data is preliminarily processed to obtain a first internal characteristic parameter for describing the internal state of the pump, wherein the predetermined internal characteristics refer to parameters directly related to the internal operating state of the lubrication pump, including pump pressure value, pump temperature value and pump flow rate, and these parameters can reflect the internal state changes of the pump during operation; based on the predetermined external characteristics, data collection is performed on the environment in which the first lubrication pump is located to obtain its external operating characteristics, and then the collected external operating characteristic data is preliminarily processed to obtain a first external characteristic parameter for describing the external environment of the pump, wherein the predetermined external characteristics refer to parameters related to the external environment of the lubrication pump, including the ambient The first internal characteristic parameter and the first external characteristic parameter are normalized to eliminate the unit and dimension differences between the internal characteristic parameter and the external characteristic parameter so that they can be compared and calculated on the same scale. Then, the first internal characteristic parameter and the first external characteristic parameter are weighted according to the different degrees of influence of different parameters on pump wear to obtain the pump wear coefficient, which is used to evaluate the wear condition of the lubrication pump and reflects the degree of wear of the pump under the combined action of internal and external factors. Finally, the pump wear coefficient is directly used as the pump wear factor to evaluate the influence of pump wear on leakage in the leakage prediction model, and the pump wear condition is incorporated into the leakage prediction model to improve the accuracy of the prediction.

[0036] Step S430, based on the predetermined leakage factor, the first historical leakage characteristic information is screened to obtain the first historical multi-dimensional leakage characteristic information. The characteristic information corresponding to each predetermined leakage factor is clarified, for example, the pump quality factor may be associated with the material, processing accuracy and other characteristics of the pump body; the pump wear factor may be associated with the wear degree and service time of the internal components of the pump; the seal factor may be associated with the material, size, aging degree and other characteristics of the seal; then, the various features in the first historical leakage characteristic information are subjected to correlation analysis to determine the degree of correlation between them and the leakage event. Based on the results of the correlation analysis, the first historical leakage characteristic information is screened to find those features that are highly correlated with leakage prediction, and those features that are irrelevant or weakly correlated are excluded, such as only retaining the features that are highly correlated with leakage prediction, or sorting the features according to their importance and retaining the first N (N is a positive integer) features. After obtaining the first historical multi-dimensional leakage characteristic information, feature conversion and standardization are performed on it to finally obtain the first historical multi-dimensional leakage characteristic information.

[0037] Step S440, machine learning is performed on the first historical data set formed based on the first historical multidimensional leakage feature information and the first historical leakage amount to obtain a leakage prediction model. The first historical data set is formed with the first historical multidimensional leakage feature information and the first historical leakage amount, and the first historical data set is preprocessed, including data cleaning (removing noise, outliers, missing values, etc.), data conversion (such as normalization, standardization, encoding, etc.) and data partitioning (dividing the data set into a training set and a validation set), and then a prediction model is constructed based on a machine learning model (such as linear regression, decision tree, random forest, neural network, etc.), and then the prediction model is trained using the training set data, and the mapping relationship between the historical leakage feature information and the leakage amount is learned during the training process, and the model parameters are adjusted to minimize the prediction error, and finally the trained model is evaluated using the validation set data to test its prediction performance, and finally a leakage prediction model is obtained, which is used to predict the future leakage amount of the lubrication pump according to the new leakage feature information. Step S450, the first multidimensional leakage feature information is analyzed by the leakage prediction model to obtain the first predicted leakage amount. The first multi-dimensional leakage characteristic information is input into the leakage prediction model for analysis and prediction, and finally a prediction value, namely the first predicted leakage, is obtained, which represents the magnitude of the leakage that may occur in the future under the given multi-dimensional leakage characteristic information.

[0038] Step S500, when the first predicted leakage is not within the predetermined leakage threshold, a leakage inspection instruction is issued, and a predetermined leakage inspection strategy is retrieved based on the leakage inspection instruction. The first predicted leakage is compared with the predetermined leakage threshold. If the first predicted leakage is not within the predetermined leakage threshold, it is considered that although the current leakage situation exists, it has not yet reached the emergency level that requires immediate shutdown and maintenance, but appropriate inspection measures need to be taken to ensure the safety and stable operation of the equipment, and then a leakage inspection instruction is automatically issued. Then the system further retrieves the predetermined leakage inspection strategy based on this leakage inspection instruction, wherein the predetermined leakage threshold is set according to the actual situation and the operation requirements of the equipment, and is used to determine whether the leakage situation is serious enough to require further measures; the predetermined leakage inspection strategy is pre-established and contains specific information such as inspection plans, inspection contents, inspection methods, and inspection cycles for different leakage situations.

[0039] Step S600, according to the predetermined leakage inspection strategy, activate the leakage inspection device to inspect the first lubrication pump for leakage, and obtain first leakage inspection information. Activate the leakage inspection device according to the predetermined leakage inspection strategy, wherein the leakage inspection device is an acoustic wave detector, which uses the characteristics of acoustic wave propagation in the medium to detect acoustic wave signals of a specific frequency generated by leakage, thereby determining the leakage of the lubrication pump. Specifically, according to the instructions in the predetermined leakage inspection strategy, activate the acoustic wave detector and prepare for leakage inspection, which may include turning on the power of the leakage inspection device, adjusting the detection parameters, etc., and then use the acoustic wave detector to inspect the first lubrication pump. During the inspection, the leakage inspection device will send out acoustic wave signals and receive reflected signals. The acoustic wave detector will record the acoustic wave signal information detected during the inspection, including the frequency, intensity, duration, etc. of the signal, to determine the leakage of the lubrication pump, and then record the first leakage inspection information, which may include the leakage location, leakage degree, detection time, etc. of the lubrication pump.

[0040] Step S700, perform leakage operation and maintenance on the first lubrication pump according to the first leakage inspection information. Perform a detailed analysis on the first leakage inspection information, preliminarily determine the cause, scope and severity of the leakage, then conduct an on-site inspection on the first lubrication pump to confirm the specific location and actual situation of the leakage problem, and then formulate a leakage operation and maintenance treatment plan. If the leakage problem is serious, emergency measures need to be taken immediately, such as shutting down the lubrication pump, cutting off the power supply, and draining the medium; if the leakage problem is not serious, disassemble the affected parts, clean and inspect, replace damaged seals or parts, and reassemble and debug; then perform operation and maintenance on the first lubrication pump according to the leakage operation and maintenance treatment plan to solve the leakage problem and ensure the normal operation of the lubrication pump.

[0041] In a possible implementation, step S700 further includes step S710, extracting a predetermined inspection path in the predetermined leakage inspection strategy. The predetermined inspection path is formulated based on factors such as the layout, structure, and historical leakage of the equipment, aiming to ensure that all key parts can be effectively inspected. In the actual inspection process, the predetermined inspection path is first extracted as a guide for the lubrication pump leakage inspection.

[0042] Step S720, matching the first acoustic wave detection signal of the first inspection point in the first leakage inspection information in combination with the predetermined inspection path. The inspection personnel will inspect along the predetermined inspection path, and use the leakage inspection device to detect at each predetermined detection point to obtain the first leakage inspection information. Specifically, the predetermined inspection path is matched in the first leakage inspection information to find the first acoustic wave detection signal of the corresponding first inspection point.

[0043] Step S730, compare the first acoustic wave detection signal with the acoustic wave signal benchmark to obtain a first comparison result. The first acoustic wave detection signal of the first inspection point is compared with the preset acoustic wave signal benchmark to evaluate whether the currently detected acoustic wave signal is abnormal, so as to preliminarily determine whether there is a leakage problem and obtain a first comparison result, wherein the acoustic wave signal benchmark is formulated based on the normal operating status of the equipment and historical leakage data, and represents the acoustic wave signal characteristics under no leakage or normal leakage level.

[0044] Step S740, when the first comparison result exceeds the predetermined deviation, a first leakage warning instruction is issued, wherein the first leakage warning instruction is used to perform leakage emergency treatment on the first inspection point. If the comparison result between the first acoustic wave detection signal and the acoustic wave signal reference exceeds the predetermined deviation range (i.e., the difference exceeds the normal fluctuation range), it is considered that there is a potential leakage problem at the inspection point, and then the first leakage warning instruction is issued to notify relevant personnel to conduct further inspection and leakage emergency treatment on the first inspection point to prevent the leakage problem from further deteriorating and causing greater losses, such as shutting down the relevant lubrication pump equipment, draining the medium, replacing seals or parts, etc., so as to solve the leakage problem as soon as possible and restore the normal operation of the equipment.

[0045] In the above, refer to Figure 1 A leakage inspection method for a lubrication pump group according to an embodiment of the present invention is described in detail. Figure 2 A leakage inspection platform for a lubrication pump group according to an embodiment of the present invention is described.

[0046] A leakage inspection platform for a lubrication pump group according to an embodiment of the present invention is used to solve the technical problems of the existing lubrication pump leakage inspection, such as the difficulty in realizing instant perception and accurate judgment of the lubrication pump leakage situation and the inability to predict the potential leakage risk in advance, which leads to poor efficiency, real-time performance and accuracy of lubrication pump detection, thereby achieving the technical effect of improving the efficiency, real-time performance and accuracy of the lubrication pump group leakage inspection. A leakage inspection platform for a lubrication pump group includes: a first predetermined detection point matching module 10, a first leakage detection result acquisition module 20, a predetermined leakage prediction strategy retrieval module 30, a first predicted leakage amount acquisition module 40, a predetermined leakage inspection strategy retrieval module 50, a first leakage inspection information acquisition module 60, and a leakage operation and maintenance processing module 70.

[0047] A first predetermined detection point matching module 10 is used to match a first predetermined detection point of a first lubrication pump in a lubrication pump detection database, wherein the first lubrication pump is any lubrication pump in a lubrication pump group; a first leakage detection result acquisition module 20 is used to acquire a first leakage detection result of a first detection point in the first predetermined detection points through a first leakage detector, wherein the first leakage detector is arranged at the first detection point, and the first detection point is any detection point in the first predetermined detection points; a predetermined leakage prediction strategy calling module 30 is used to issue a leakage prediction instruction when the first leakage detection result meets the predetermined constraints, and call a predetermined leakage prediction strategy based on the leakage prediction instruction; a first predicted leakage A quantity acquisition module 40 is used to analyze the first multi-dimensional leakage feature information of the first lubrication pump collected by the multi-dimensional features according to the predetermined leakage prediction strategy to obtain a first predicted leakage quantity; a predetermined leakage inspection strategy calling module 50 is used to issue a leakage inspection instruction when the first predicted leakage quantity is not within a predetermined leakage quantity threshold, and to call a predetermined leakage inspection strategy based on the leakage inspection instruction; a first leakage inspection information acquisition module 60 is used to activate the leakage inspection device to perform a leakage inspection on the first lubrication pump according to the predetermined leakage inspection strategy to obtain first leakage inspection information; a leakage operation and maintenance processing module 70 is used to perform leakage operation and maintenance processing on the first lubrication pump according to the first leakage inspection information.

[0048] The specific configuration of the first predetermined detection point matching module 10 will be described in detail below. The first predetermined detection point matching module 10 may further include: extracting a first historical leakage record from the historical lubrication pump leakage record, wherein the first historical leakage record refers to a first pump type and a first leakage point of a first historical lubrication pump; and constructing the lubrication pump detection database according to a first corresponding relationship between the first pump type and the first leakage point.

[0049] The specific configuration of the first leakage detection result acquisition module 20 will be described in detail below. The first leakage detection result acquisition module 20 may further include: the first leakage detector includes a first humidity detector and a first oil stain detection belt, and the first humidity of the first detection point is obtained by the first humidity detector; the first oil stain area of ​​the first detection point is obtained by the first oil stain detection belt; when the first humidity meets the predetermined humidity threshold in the predetermined constraint, and / or the first oil stain area meets the predetermined oil stain area in the predetermined constraint, then the first leakage detection result meets the predetermined constraint.

[0050] The specific configuration of the first predicted leakage amount acquisition module 40 will be described in detail below. The first predicted leakage amount acquisition module 40 may further include: the first historical leakage record also includes the first historical leakage characteristic information of the first historical lubrication pump and the first historical leakage amount of the first leakage point; extracting the predetermined leakage factor in the predetermined leakage prediction strategy; screening the first historical leakage characteristic information based on the predetermined leakage factor to obtain the first historical multi-dimensional leakage characteristic information; performing machine learning on the first historical data group formed based on the first historical multi-dimensional leakage characteristic information and the first historical leakage amount to obtain a leakage amount prediction model; analyzing the first multi-dimensional leakage characteristic information through the leakage amount prediction model to obtain the first predicted leakage amount.

[0051] The specific configuration of the first predicted leakage amount obtaining module 40 will be described in detail below. The first predicted leakage amount obtaining module 40 may further include: the predetermined leakage factor includes a pump quality factor, a pump wear factor and a seal factor, and the pump quality factor refers to the pump manufacturing accuracy.

[0052] The specific configuration of the first predicted leakage amount acquisition module 40 will be described in detail below. The first predicted leakage amount acquisition module 40 may further include: reading predetermined internal features, and collecting internal operation features of the first lubrication pump based on the predetermined internal features to obtain first internal feature parameters; reading predetermined external features, and collecting external operation features of the first lubrication pump based on the predetermined external features to obtain first external feature parameters; obtaining a pump wear coefficient by weighted normalization of the first internal feature parameters and the first external feature parameters; and using the pump wear coefficient as the pump wear factor.

[0053] The specific configuration of the first predicted leakage acquisition module 40 will be described in detail below. The first predicted leakage acquisition module 40 may further include: the predetermined internal features include pump pressure value, pump temperature value and pump flow rate, and the predetermined external features include ambient temperature, ambient pressure and ambient vibration.

[0054] The specific configuration of the leakage operation and maintenance processing module 70 will be described in detail below. The leakage operation and maintenance processing module 70 may further include: extracting the predetermined inspection path in the predetermined leakage inspection strategy; matching the first acoustic wave detection signal of the first inspection point in the first leakage inspection information in combination with the predetermined inspection path; comparing the first acoustic wave detection signal with the acoustic wave signal benchmark to obtain a first comparison result; when the first comparison result exceeds a predetermined deviation, issuing a first leakage warning instruction, wherein the first leakage warning instruction is used to perform leakage emergency treatment on the first inspection point.

[0055] A leakage inspection platform for a lubrication pump group provided by an embodiment of the present invention can execute a leakage inspection method for a lubrication pump group provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0056] Although the present application makes various references to certain modules in the platform according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be implemented; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0057] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A leakage inspection method for a lubrication pump group, characterized in that: include: matching a first predetermined detection point of a first lubrication pump in a lubrication pump detection database, wherein the first lubrication pump is any one lubrication pump in a lubrication pump group; Obtaining a first leakage detection result of a first detection point among the first predetermined detection points by a first leakage detector, wherein the first leakage detector is arranged at the first detection point, and the first detection point is any one of the first predetermined detection points; When the first leakage detection result meets the predetermined constraint, issuing a leakage prediction instruction, and calling a predetermined leakage prediction strategy based on the leakage prediction instruction; Analyzing the first multi-dimensional leakage feature information of the first lubrication pump collected by the multi-dimensional feature according to the predetermined leakage prediction strategy to obtain a first predicted leakage amount; When the first predicted leakage amount is not within a predetermined leakage amount threshold, issuing a leakage inspection instruction, and calling a predetermined leakage inspection strategy based on the leakage inspection instruction; activating a leakage inspection device to perform leakage inspection on the first lubrication pump according to the predetermined leakage inspection strategy to obtain first leakage inspection information; Performing leakage operation and maintenance on the first lubrication pump according to the first leakage inspection information; Among them, include: Extracting a predetermined inspection path in the predetermined leakage inspection strategy; Matching a first acoustic wave detection signal of a first inspection point in the first leakage inspection information in combination with the predetermined inspection path; Comparing the first sound wave detection signal with a sound wave signal benchmark to obtain a first comparison result; When the first comparison result exceeds a predetermined deviation, a first leakage warning instruction is issued, wherein the first leakage warning instruction is used to perform leakage emergency treatment on the first inspection point.

2. A leakage inspection method for a lubrication pump group according to claim 1, characterized in that: include: Extracting a first historical leakage record from the historical lubrication pump leakage records, wherein the first historical leakage record refers to a first pump type and a first leakage point of a first historical lubrication pump; The lubrication pump detection database is constructed according to a first corresponding relationship between the first pump type and the first leakage point.

3. A leakage inspection method for a lubrication pump group according to claim 1, characterized in that: The first leakage detector comprises a first humidity detector and a first oil stain detection belt, including: obtaining a first humidity at the first detection point by using the first humidity detector; Obtaining a first oil stain area at the first detection point through the first oil stain detection belt; When the first humidity meets the predetermined humidity threshold in the predetermined constraint, and / or the first oil stain area meets the predetermined oil stain area in the predetermined constraint, the first leakage detection result meets the predetermined constraint.

4. A leakage inspection method for a lubrication pump group according to claim 2, characterized in that: include: The first historical leakage record also includes first historical leakage characteristic information of the first historical lubrication pump and first historical leakage amount of the first leakage point; extracting a predetermined leakage factor in the predetermined leakage prediction strategy; Screening the first historical leakage feature information based on the predetermined leakage factor to obtain first historical multi-dimensional leakage feature information; Performing machine learning on a first historical data group formed based on the first historical multi-dimensional leakage feature information and the first historical leakage amount to obtain a leakage amount prediction model; The first multi-dimensional leakage feature information is analyzed by the leakage prediction model to obtain the first predicted leakage amount.

5. A leakage inspection method for a lubrication pump group according to claim 4, characterized in that: The predetermined leakage factor includes a pump quality factor, a pump wear factor and a seal factor, wherein the pump quality factor refers to the manufacturing accuracy of the pump.

6. A leakage inspection method for a lubrication pump group according to claim 5, characterized in that: include: Reading a predetermined internal feature, and collecting internal operation features of the first lubrication pump based on the predetermined internal feature to obtain a first internal feature parameter; Reading a predetermined external feature, and collecting external operation features of the first lubrication pump based on the predetermined external feature to obtain a first external feature parameter; The pump wear coefficient is obtained by weighting and normalizing the first internal characteristic parameter and the first external characteristic parameter; The pump wear coefficient is used as the pump wear factor.

7. A leakage inspection method for a lubrication pump group according to claim 6, characterized in that: The predetermined internal characteristics include a pump pressure value, a pump temperature value and a pump flow rate, and the predetermined external characteristics include an ambient temperature, an ambient pressure and an ambient vibration.

8. A leakage inspection platform for lubrication pump groups, characterized in that: The platform is used to implement a leakage inspection method for a lubrication pump group according to any one of claims 1 to 7, and the platform comprises: A first predetermined detection point matching module, used for matching a first predetermined detection point of a first lubrication pump in a lubrication pump detection database, wherein the first lubrication pump is any one lubrication pump in a lubrication pump group; A first leakage detection result acquisition module, used for acquiring a first leakage detection result of a first detection point among the first predetermined detection points through a first leakage detector, wherein the first leakage detector is arranged at the first detection point, and the first detection point is any detection point among the first predetermined detection points; A predetermined leakage prediction strategy calling module, used for issuing a leakage prediction instruction when the first leakage detection result meets the predetermined constraint, and calling a predetermined leakage prediction strategy based on the leakage prediction instruction; A first predicted leakage amount obtaining module, configured to analyze the first multi-dimensional leakage feature information of the first lubrication pump collected by the multi-dimensional features according to the predetermined leakage prediction strategy, to obtain a first predicted leakage amount; A predetermined leakage inspection strategy calling module, used for issuing a leakage inspection instruction when the first predicted leakage amount is not within a predetermined leakage amount threshold, and calling a predetermined leakage inspection strategy based on the leakage inspection instruction; A first leakage inspection information obtaining module, configured to activate a leakage inspection device to perform leakage inspection on the first lubrication pump according to the predetermined leakage inspection strategy, and obtain first leakage inspection information; A leakage operation and maintenance processing module is used to perform leakage operation and maintenance processing on the first lubrication pump according to the first leakage inspection information.

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