Train brake tester test monitoring diagnosis management method and system

Abstract

The application provides a train brake tester test monitoring diagnosis management method and system, first, a train brake tester test whole-process correlation information set is acquired, covering the running state, test working condition and historical test fault correlation information of each component test stage of the brake; then, a brake test monitoring diagnosis correlation chain is established based on the set, taking the test stage as a node, the component state transmission relationship between stages as an edge and determining the correlation attribute of the edge; then, the test state information collected in real time is analyzed for abnormal transmission between stages through the correlation chain, and an abnormal diagnosis result containing the abnormal occurrence stage, correlation components and transmission path is generated; finally, based on the abnormal diagnosis result and the historical fault correlation information, a test monitoring management strategy containing abnormal treatment measures, test process adjustment suggestions and component maintenance priority is generated. The application improves the accuracy and reliability of the train brake tester test.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of train operation and maintenance, in particular to a train brake testing, monitoring, diagnosing and managing method and system. BACKGROUND

[0002] In the field of railway transportation, the performance of train brake directly relates to the running safety and stability of the train, so it is crucial to test, monitor, diagnose and manage the train brake. The traditional testing, monitoring, diagnosing and managing method of train brake has many limitations.

[0003] On the one hand, the existing monitoring method often only focuses on the independent running state of each component of the brake during the test process, and does not consider the correlation between each test stage. For example, in different test stages such as charging, discharging and braking of the brake, the component state will change continuously, but the traditional method is difficult to capture the conduction relationship of the component state between the above stages, and cannot accurately judge the influence of the component state of the previous stage on the subsequent stage, so it is difficult to quickly locate the problem source when an abnormality occurs.

[0004] On the other hand, in the diagnosis link, the traditional method mainly relies on manual experience and simple fault code matching. Manual experience judgment is easily affected by subjective factors, and has limited ability to identify complex faults and potential problems; simple fault code matching cannot comprehensively consider the correlation of test working conditions and historical test faults, so the accuracy and comprehensiveness of the diagnosis result are greatly reduced. In addition, in terms of management strategy formulation, the traditional method lacks comprehensive analysis of real-time test state information and historical fault information, and cannot generate targeted, scientific and reasonable abnormality handling measures, test process adjustment suggestions and component maintenance priorities, so it cannot effectively improve the efficiency and reliability of train brake testing, and increases the safety risk of train operation. SUMMARY

[0005] In view of the above-mentioned problems, in combination with the first aspect of the present application, the embodiments of the present application provide a train brake testing, monitoring, diagnosing and managing method, which comprises:

[0006] obtaining a train brake test full-process correlation information set, wherein the train brake test full-process correlation information set comprises running state information of each component of the brake in the test stage, test working condition information and historical test fault correlation information;

[0007] establishing a brake test monitoring and diagnosing correlation chain based on the train brake test full-process correlation information set, wherein the brake test monitoring and diagnosing correlation chain takes the test stage as the node and the stage-to-stage component state conduction relationship as the edge, and the correlation attribute of the edge is determined according to the influence of the component state of the previous stage on the component state of the subsequent stage;

[0008] The brake machine test monitoring diagnosis correlation chain performs inter-stage abnormality conduction analysis on the real-time collected brake machine test state information, generates a brake machine test abnormality diagnosis result, and the brake machine test abnormality diagnosis result contains an abnormality occurrence stage, an abnormality correlation component, and an abnormality conduction path.

[0009] Based on the brake machine test abnormality diagnosis result, historical test fault correlation information in the train brake machine test whole-process correlation information set is combined to generate a brake machine test monitoring management strategy, and the brake machine test monitoring management strategy contains an abnormality processing measure, a test flow adjustment suggestion, and a component maintenance priority.

[0010] In still another aspect, the embodiment of the present application also provides a train brake machine test monitoring diagnosis management system, which comprises a processor and a machine readable storage medium, the machine readable storage medium is connected with the processor, the machine readable storage medium is used for storing programs, instructions or codes, and the processor is used for executing the programs, instructions or codes in the machine readable storage medium to realize the above-mentioned method.

[0011] Based on the above aspect, by acquiring the train brake machine test whole-process correlation information set, the multi-dimensional information such as the running state of each component of the brake machine in the test stage, the test working condition, and the historical test fault correlation is integrated, the brake machine test monitoring diagnosis correlation chain is established based on the information set, the test stage is taken as a node, the inter-stage component state conduction relationship is taken as an edge, and the correlation attribute of the edge is also determined, which can clearly present the dynamic connection and influence mechanism between each stage in the brake machine test process, and realize the systematic modeling of the brake machine test process. Through the correlation chain, the inter-stage abnormality conduction analysis on the real-time collected brake machine test state information can accurately generate the test abnormality diagnosis result containing the abnormality occurrence stage, the abnormality correlation component and the abnormality conduction path, and effectively solve the problem that the traditional method is difficult to locate the problem source. Finally, the brake machine test monitoring management strategy generated in combination with the historical test fault correlation information covers the abnormality processing measure, the test flow adjustment suggestion and the component maintenance priority, thereby significantly improving the accuracy, reliability and efficiency of the train brake machine test, and reducing the safety risk of train operation. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 FIG. 1 is an execution flow diagram of the train brake machine test monitoring diagnosis management method provided by the embodiment of the present application.

[0013] Figure 2 FIG. 1 is a schematic diagram of exemplary hardware and software components of the train brake machine test monitoring diagnosis management system provided by the embodiment of the present application. DETAILED DESCRIPTION

[0014] The application will be described in detail below with reference to the accompanying drawings, Figure 1 is a flowchart of a train brake testing monitoring diagnosis management method provided by an embodiment of the application, and the train brake testing monitoring diagnosis management method will be described in detail below.

[0015] Step S110: acquire a train brake testing full-process correlation information set, which contains operation state information, testing working condition information and historical testing fault correlation information of each component testing stage of the brake.

[0016] In this embodiment, the train brake testing monitoring diagnosis is taken as an object to acquire the full-process correlation information set. The brake components include air compressor, air reservoir, brake valve, brake cylinder, release valve, brake hose and pressure relay. The testing stages include pre-testing stage, no-load testing stage, load testing stage and emergency braking testing stage. The operation state information includes action response time, pressure change curve, temperature fluctuation range, valve switch state and the like of each component during the testing process; the testing working condition information includes load weight setting, simulated running speed, environment temperature and humidity control value and testing duration of each stage; and the historical testing fault correlation information includes fault type (such as insufficient pressure, response delay and valve sticking), fault handling process, performance recovery condition after handling and maintenance record (such as maintenance time, replaced component model and maintenance personnel) of the fault components and the like in the past testing.

[0017] For example, step S111: connect a train brake testing data acquisition system, and acquire operation state information of each component of the brake in different testing stages from the train brake testing data acquisition system, wherein the operation state information includes action response information, pressure change information and temperature change information of the component.

[0018] The test monitoring terminal is connected with the train brake test data acquisition system through an industrial Ethernet interface, and data interaction is performed by using a Modbus TCP communication protocol. The test data acquisition system is provided with corresponding sensors on each component of the brake: a pressure sensor and a temperature sensor are installed on the outlet of the air compressor, a pressure sensor and a liquid level sensor are installed on the outer wall of the air storage cylinder, a displacement sensor and an action timer are installed on the brake valve and the release valve, a pressure sensor and an acceleration sensor are installed in the brake cylinder, and a pressure sensor and a vibration sensor are installed at the connection of the brake hose. The above sensors collect data in real time and transmit the data to the acquisition system. The monitoring terminal retrieves data from the acquisition system according to the test stage, for example, the starting response time of the air compressor, the initial pressure build-up value in the pre-test stage; the action response time of the brake valve, the pressure rise rate of the brake cylinder in the no-load test stage; the pressure holding capacity of the air storage cylinder, the pressure loss value of the brake hose in the load test stage; the emergency action response time of all components, the pressure peak value in the emergency brake test stage, to form the running state information of each component in different test stages.

[0019] Step S112: retrieving test working condition information in the test process from the train brake test working condition control system, wherein the test working condition information includes load setting information, speed setting information and environmental condition information of each test stage.

[0020] The test monitoring terminal is connected with the train brake test working condition control system through an RS485 interface, and sends a data retrieval request to the working condition control system according to a preset instruction format. The working condition control system returns the working condition parameters of each test stage according to the request: the load setting of the pre-test stage is zero load, the environmental temperature is controlled in the standard room temperature range, and the environmental humidity is controlled in the standard humidity range; the simulated running speed of the no-load test stage is set according to the gradient, gradually increasing from low speed to medium speed, and the environmental conditions remain stable; the load setting of the load test stage is divided into different proportions according to the rated load of the train (such as fifty percent, eighty percent and one hundred percent), the simulated running speed covers the medium speed to high speed interval, and the environmental temperature and humidity are set in different combinations to form multiple working conditions; the initial speed of the emergency brake test stage is set to high speed, the load setting is set to the rated load, and the environmental conditions are set to the standard state. Meanwhile, the working condition information also includes the test cycle number of each stage, the interval time of each cycle, etc. The monitoring terminal stores the above information in categories to form complete test working condition information.

[0021] Step S113: accessing the train brake historical test database, and extracting historical test fault association information from the train brake historical test database, wherein the historical test fault association information includes fault event records, fault handling process records and component maintenance records after faults in historical tests.

[0022] The train brake historical test database deployed on the server is accessed through the ODBC database connection mode, the train brake historical test database adopts the MySQL relational database structure, and the data is stored according to the hierarchy of 'test number-test stage-failure component-failure information'. The historical test data in the past five years is screened out by the structured query language of the monitoring terminal, and the failure event record (including the test stage, specific time, failure phenomenon description of the failure occurrence), failure processing process record (including the failure positioning method, the processing measures taken, the parameter adjustment in the processing process, the failure elimination time length), and failure component maintenance record (including the maintenance component name, maintenance method, replacement part model, performance test result after maintenance, next maintenance recommended time) and other information are extracted. For example, the failure record of insufficient brake cylinder pressure in the load stage in a certain historical test is extracted, including the load setting, speed parameter at the time of the failure, pressure detection data during failure troubleshooting, processing measures such as replacing the brake cylinder sealing ring, and pressure recovery test results after maintenance, etc., and the historical test failure correlation information is integrated.

[0023] Step S114: The acquired running state information, test working condition information and historical test failure correlation information are associated and integrated, the integrated information is classified and arranged according to the test stage, and the train brake test full-process correlation information set containing the running state information, test working condition information and historical test failure correlation information of each component of the brake in the test stage is formed.

[0024] First, the information correlation index is established, and 'test stage-component identification' is taken as the core index key. The parameters of each component in the corresponding stage in the running state information are matched with the working condition parameters in the stage in the test working condition information, for example, the action response time of the brake valve in the no-load test stage is associated with the simulated running speed and environmental temperature in the stage. Then, according to the component identification and the failure type, the failure record of the same component in the same test stage in the historical test failure correlation information is associated with the acquired running state information and working condition information, for example, the pressure change information of the brake cylinder in the load test stage is associated with the pressure deficiency failure record of the brake cylinder under the same load working condition in history. After the association is completed, the information is classified according to the pre-test stage, the no-load test stage, the load test stage and the emergency brake test stage, each stage contains the running state information of all components in the stage, the corresponding working condition information and the related historical failure correlation information, and finally a structured train brake test full-process correlation information set is formed, which is stored in the local database of the monitoring terminal in JSON format.

[0025] Step S120: Establish a brake test monitoring and diagnosis correlation chain based on the train brake test full-process correlation information set, the brake test monitoring and diagnosis correlation chain taking the test stage as a node and the inter-stage component state transmission relationship as an edge, and the correlation attribute of the edge being determined according to the influence of the component state of the previous stage on the component state of the next stage.

[0026] Based on the above full-process correlation information set, the pre-test stage, the no-load test stage, the load test stage, and the emergency braking test stage are respectively taken as four independent nodes, and the node contains the key component state information of the stage. The mutual influence of the component states between different stages is analyzed, for example, the pressure build-up state of the air compressor in the pre-test stage will affect the action performance of the brake valve in the no-load test stage, the response state of the brake cylinder in the no-load test stage will affect the braking effect in the load test stage, and the pressure maintaining ability of the air storage cylinder in the load test stage will affect the pressure supply in the emergency braking test stage. These influence relationships are the inter-stage component state transmission relationships, which are the edges connecting the corresponding nodes. The correlation attribute of each edge is determined by analyzing the specific influence of the component state change of the previous stage on the component state of the next stage, for example, low pressure of the air compressor in the pre-test stage will cause delay of the action of the brake valve in the no-load test stage. The above influence performance determines that the correlation attribute of the edge is “pressure transmission influence-brake response delay risk”, thereby a complete brake test monitoring and diagnosis correlation chain is constructed.

[0027] Step S121: Dividing the train brake test full-process correlation information set into test stages, according to the pre-test stage, the no-load test stage, the load test stage, and the emergency braking test stage of the brake test, the information is divided into stage information units corresponding to each stage, and each stage information unit contains the running state information, test working condition information, and component state correlation record of the stage and other stages of each component in the stage.

[0028] According to the time sequence and working condition difference of the test procedure, the whole-process associated information set of the train brake test is divided. The pre-test stage information unit contains the running state information (such as start response, pressure establishment) of the air compressor and the air storage cylinder, the working condition information (zero load, standard environment) and the associated record with the no-load test stage (such as the influence record of the pre-test pressure value on the brake valve action of the no-load test). The no-load test stage information unit contains the running state information (action response, pressure change) of the brake valve, brake cylinder and release valve, the working condition information (gradient speed, zero load) and the associated record with the pre-test stage (the influence of the pre-test state on this stage) and the associated record with the load test stage (the influence of the brake cylinder state of this stage on the load test). The load test stage information unit contains the running state information (pressure retention, action coordination) of all components, the working condition information (multi-grade load, multi-speed) and the associated record with the no-load test stage and the emergency brake test stage. The emergency brake test stage information unit contains the emergency running state information of all components, the working condition information (rated load, high speed) and the associated record with the load test stage. Each stage information unit is stored in the form of a folder, and the corresponding data files are stored in the internal "running state-working condition-associated record" classification.

[0029] Step S122: For each stage information unit, extract the key state characteristic items in the running state information of each component in the stage, which reflect the core running performance of the component in the stage, and form a key state set in the stage.

[0030] Taking the pre-test stage information unit as an example, the running state information of the air compressor is analyzed, and the start response time, rated pressure establishment time and pressure fluctuation amplitude are extracted as key state characteristic items. The running state information of the air storage cylinder is analyzed, and the pressure retention time and leakage amount are extracted as key state characteristic items. For the no-load test stage information unit, the action response time and valve opening degree adjustment accuracy are extracted from the brake valve; the pressure rise rate and pressure stabilization time are extracted from the brake cylinder; the release response time and pressure release rate are extracted from the release valve as key state characteristic items. In the load test stage information unit, in addition to the key characteristic items of the above components, the pressure loss value and vibration frequency are extracted from the brake hose; the pressure trigger threshold and response sensitivity are extracted from the pressure relay as key state characteristic items. The emergency brake test stage information unit mainly extracts the emergency response time, pressure peak value and action synchronization of each component as key state characteristic items. All the key state characteristic items of each component in each stage are summarized and classified by component to form a key state set in the stage, for example, the pre-test stage key state set contains "air compressor: start response time, rated pressure establishment time, pressure fluctuation amplitude; air storage cylinder: pressure retention time, leakage amount" and other items.

[0031] Step S123: Comparing the set of intra-stage key states of adjacent stage information units, identifying the correspondence between the previous stage key state representation and the next stage key state representation, determining the inter-stage component state conduction relationship, and forming the set of inter-stage conduction relationships.

[0032] Comparing the set of key states of the pre-test stage and the no-load test stage: the "rated pressure build-up time" and "pressure fluctuation amplitude" of the air compressor in the pre-test stage have a corresponding relationship with the "action response time" and "valve opening degree regulation accuracy" of the brake valve in the no-load test stage, that is, the longer the rated pressure build-up time of the air compressor, the greater the pressure fluctuation, the slower the action response of the brake valve, and the lower the regulation accuracy; the "pressure holding time" of the air storage cylinder in the pre-test stage has a corresponding relationship with the "pressure rise rate" of the brake cylinder in the no-load test stage, the shorter the pressure holding time of the air storage cylinder, the slower the pressure rise rate of the brake cylinder, and the above corresponding relationship is the component state conduction relationship from the pre-test stage to the no-load test stage. Continue to compare the set of key states of the no-load test stage and the load test stage: the "pressure rise rate" of the brake cylinder in the no-load test stage has a corresponding relationship with the "pressure holding capacity" of the air storage cylinder in the load test stage, and insufficient pressure rise rate of the brake cylinder will cause the air storage cylinder to consume pressure too quickly under load; the "relief response time" of the relief valve in the no-load test stage has a corresponding relationship with the "pressure loss value" of the brake hose in the load test stage, and delayed relief response will increase the pressure loss of the brake hose. In this way, the set of key states of the load test stage and the emergency brake test stage is compared, and all component state conduction relationships between adjacent stages are identified, and a set of inter-stage conduction relationships is formed, each conduction relationship entry including a previous stage component and a representation, a next stage component and a representation, and a conduction impact description.

[0033] Step S124: Creating an initial association chain structure with each test stage as an independent node, taking each conduction relationship in the set of inter-stage conduction relationships as an edge connecting the corresponding stage nodes, and forming an initial brake machine test monitoring and diagnosis association chain.

[0034] On the visual interface of the test monitoring terminal, four rectangular boxes represent the pre-test stage, the no-load test stage, the load test stage, and the emergency braking test stage, respectively, as the four independent nodes of the initial association chain, arranged from left to right according to the test order. According to the set of transmission relationships between stages, an arrowed line segment is used as an edge to connect adjacent nodes: an arrow is connected from the pre-test stage node to the no-load test stage node, with the transmission relationship from the pre-test stage to the no-load test stage (such as "air compressor pressure - brake valve action" and "air storage cylinder pressure - brake cylinder pressure") marked on the arrow; an arrow is connected from the no-load test stage node to the load test stage node, with the corresponding transmission relationship marked; an arrow is connected from the load test stage node to the emergency braking test stage node, with the transmission relationship marked. The core components and key state characterization items of each stage are displayed inside each node, and the thickness of the edge is preliminarily set according to the number of transmission relationships. The more transmission relationships there are, the thicker the edge, forming the visual structure of the initial brake tester test monitoring and diagnosis association chain, while the topological relationship data of the association chain is stored in the form of an adjacency matrix in the background.

[0035] Step S125: Analyze the influence of the state of the component in the previous stage on the state of the component in the next stage in each edge of the initial brake tester test monitoring and diagnosis association chain. The influence is determined by recording the changes in the state of the component in the next stage when the state of the component in the previous stage changes.

[0036] Step S1251: Extract the component state change records of adjacent stages from the train brake tester test full-process association information set, which includes the change content of the state of the component in the previous stage and the change content of the state of the component in the next stage.

[0037] From the full-process association information set, the test data records of adjacent stages are selected, such as the continuous test records of the pre-test stage and the no-load test stage, the continuous test records of the no-load test stage and the load test stage, etc. For each set of adjacent stage records, the state change content of a component in the previous stage (such as the air compressor pressure decreasing from a standard value to a certain value in the pre-test stage) and the state change content of the corresponding associated component in the next stage (such as the brake valve action response time extending from a standard duration to a certain duration in the no-load test stage) are extracted, and the above contents are combined to form a component state change record, each record containing fields such as test number, previous stage component, previous stage state change, next stage component, next stage state change, and change time.

[0038] Step S1252: For each edge in the initial brake tester test monitoring and diagnosis association chain, locate the previous stage and the next stage connected by the edge, and extract the component state change records corresponding to the previous stage and the next stage.

[0039] In the initial association chain, the edges from the pre-test stage to the no-load test stage are selected, the previous stage connected is located as the pre-test stage, the next stage is located as the no-load test stage, and all records related to the two stages are extracted from the component state change record; the edges from the no-load test stage to the load test stage are selected, and the corresponding records are extracted; similarly, the records corresponding to the edges from the load test stage to the emergency braking test stage are extracted. For example, for the edge of "pre-test stage air compressor-no-load test stage brake valve", all records containing the state change of the pre-test stage air compressor and the state change of the no-load test stage brake valve are extracted.

[0040] Step S1253: Compare the change content in the previous stage component state change record with the change content in the next stage component state change record to identify whether the next stage component state change occurs immediately after the previous stage component state change.

[0041] Taking the records corresponding to the edge of "pre-test stage air compressor-no-load test stage brake valve" as an example, the occurrence time of the air compressor state change in each record is compared with the occurrence time of the brake valve state change to determine whether the state change of the brake valve occurs within a preset time window (such as the time interval between the two stages in the test process) after the state change of the air compressor. If the air compressor pressure drop occurs at the end of the pre-test stage, the brake valve action response delay occurs at the beginning of the no-load test stage, and the time interval between the two meets the test stage transition time, it is determined that the state change of the brake valve occurs immediately after the state change of the air compressor; if the brake valve state change occurs in the middle of the no-load test stage, and the interval between the air compressor state change is too long, it is determined that there is no immediate relationship between the two.

[0042] Step S1254: If the next stage component state change occurs immediately after the previous stage component state change, record the type of the previous stage component state change and the type of the next stage component state change, and describe the change association between the two.

[0043] For the state change record determined to occur immediately, record the type of the previous stage component state change, such as "pressure drop" "pressure fluctuation increase" "start-up delay" of the air compressor; the type of the next stage component state change, such as "action response delay" "regulation accuracy decrease" "valve port jam" of the brake valve. Describe the change association between the two, for example, "air compressor pressure drop-brake valve action response delay" "air compressor pressure fluctuation increase-brake valve regulation accuracy decrease" "air cylinder pressure holding time shortening-brake cylinder pressure rising rate reduction", etc., to clearly indicate the corresponding relationship between the type of the previous stage state change and the type of the next stage state change.

[0044] Step S1255: Count the occurrence frequency of the correlation between the component state change in the previous stage and the component state change in the next stage in multiple tests, and record the stability degree of the correlation occurrence.

[0045] For the correlation type of "air compressor pressure drop - brake valve action response delay", count the number of occurrences of this correlation in all relevant records extracted, which is the occurrence frequency of the correlation. According to the proportion of the frequency to the total number of tests, combined with the consistency of the occurrence of this correlation under different test conditions, record the stability degree of the correlation occurrence, such as "this correlation occurs in 80% of load tests, with high stability", "this correlation only occurs under low ambient temperature conditions, with medium stability", "occurs occasionally, with no obvious rules, with low stability", etc.

[0046] Step S1256: Synthesize the correlation type, occurrence frequency and stability degree of the component state change in the previous stage on the component state change in the next stage to form the influence performance description of the component state in the previous stage on the component state in the next stage.

[0047] Based on the above information, the influence performance description is formed for the conduction relationship corresponding to each edge. For example, the influence performance description of "pre-test stage air compressor - no-load test stage brake valve" is: "air compressor pressure drop will cause brake valve action response delay, the correlation occurs frequently in multiple tests, with high stability; air compressor pressure fluctuation increase will cause brake valve regulation precision decrease, the correlation occurs frequently in high load conditions, with medium stability". Similarly, the influence performance description is formed for "no-load test stage brake cylinder - load test stage air reservoir": "brake cylinder pressure rise rate insufficient will cause air reservoir pressure consumption too fast in load test stage, the correlation occurs frequently in all load range tests, with high stability; brake cylinder pressure stable time too long will cause air reservoir pressure fluctuation amplitude increase, the correlation occurs frequently in high speed simulation conditions, with medium stability". The influence performance description is formed for "load test stage air reservoir - emergency brake test stage brake cylinder": "air reservoir pressure maintaining ability insufficient will cause brake cylinder pressure peak value too low in emergency brake, the correlation occurs frequently in rated load conditions, with high stability; air reservoir leakage amount increase will cause brake cylinder pressure drop rate accelerate, the correlation occurs frequently after long time test, with medium stability".

[0048] Step S126: According to the influence performance, assign a correlation attribute to each edge in the initial brake machine test monitoring and diagnosis correlation chain, and based on the correlation attribute, optimize the structure of the initial brake machine test monitoring and diagnosis correlation chain to generate the brake machine test monitoring and diagnosis correlation chain, wherein the correlation attribute includes influence type and influence range description.

[0049] For each edge in the initial association chain, the association attribute is determined according to the corresponding influence performance description. For the edge of "pre-test stage air compressor - no-load test stage brake valve", according to the influence performance of "pressure drop leading to response delay" and "pressure fluctuation leading to precision decline", the influence type is determined as "pressure conduction influence", and the influence range description is "influencing brake valve action response and regulation accuracy, involving brake control function in no-load test stage". For the edge of "no-load test stage brake cylinder - load test stage air storage cylinder", according to "insufficient pressure rise rate leading to excessive pressure consumption" and "long pressure stabilization time leading to increased fluctuation", the influence type is determined as "pressure feedback influence", and the influence range description is "influencing air storage cylinder pressure retention and stability, involving pressure supply function in load test stage". For the edge of "load test stage air storage cylinder - emergency brake test stage brake cylinder", according to "insufficient pressure retention leading to low peak value" and "increased leakage leading to accelerated decline", the influence type is determined as "pressure supply influence", and the influence range description is "influencing brake cylinder emergency brake pressure performance, involving safety brake function in emergency brake test stage".

[0050] Based on the association attribute, the initial association chain structure is optimized: in the visualization interface, different colors are set for edges of different influence types, such as blue for "pressure conduction influence", yellow for "pressure feedback influence", and red for "pressure supply influence"; the thickness of the edge is adjusted according to the importance of the influence range, with the edge affecting the safety brake function being the thickest, the edge affecting the pressure supply function being the second thickest, and the edge affecting the brake control function being the regular thickness. At the same time, the association attribute information is supplemented in the label of each edge, such as the blue edge labeled "pressure conduction influence - influencing brake valve action response and regulation accuracy", and the red edge labeled "pressure supply influence - influencing brake cylinder emergency brake pressure performance". After optimization, the final brake machine test monitoring and diagnosis association chain is generated, which not only reflects the conduction relationship between stages, but also intuitively displays the association attribute through color and thickness, facilitating subsequent abnormal conduction analysis.

[0051] Step S130: performing inter-stage abnormal conduction analysis on the real-time collected brake machine test state information through the brake machine test monitoring and diagnosis association chain, generating a brake machine test abnormal diagnosis result, the brake machine test abnormal diagnosis result including an abnormal occurrence stage, an abnormal associated component and an abnormal conduction path.

[0052] During the brake machine test process, the test monitoring terminal receives the running state information of each component in real time, compares the above information with the normal conduction relationship and associated attributes in the brake machine test monitoring diagnosis association chain. When an abnormal state of a component in a certain stage is found, the source component of the abnormal state in the previous stage is traced back through the association chain, and the path that the abnormal state may be transmitted to the subsequent stage is also tracked, so that the specific stage of the abnormal occurrence, the associated components and the complete transmission path are determined, and finally the brake machine test abnormal diagnosis result containing these information is formed. For example, if it is found that the air storage cylinder pressure is consumed too quickly in the load test stage, the brake cylinder pressure rising rate is insufficient in the no-load test stage is traced back through the association chain, and it is judged that the abnormality may be transmitted to the emergency braking stage to cause the brake cylinder pressure peak to be low, and then the corresponding abnormal diagnosis result is generated.

[0053] Step S131: acquiring real-time collected brake machine test state information, the real-time collected brake machine test state information including real-time component running state information and real-time test working condition information of each test stage.

[0054] The test monitoring terminal continuously acquires real-time data of the brake machine test through real-time communication with the train brake machine test data acquisition system and the test working condition control system. The real-time component running state information of each test stage is acquired from the data acquisition system, such as the real-time pressure value of the air compressor in the pre-test stage, the starting response time; the real-time action response time of the brake valve in the no-load test stage, the valve opening; the real-time pressure holding value of the air storage cylinder in the load test stage, the leakage; the real-time pressure peak value of the brake cylinder in the emergency braking test stage, the response time, etc. The real-time test working condition information is acquired from the working condition control system, such as the load setting of the current test stage, the simulated running speed, the environment temperature and humidity, etc., to ensure the time synchronization of the real-time state information and the working condition information.

[0055] Step S132: comparing the real-time collected brake machine test state information with the normal state information of the corresponding stage in the train brake machine test full-process association information set, identifying the abnormal state item that the real-time component running state information is different from the normal state information, and forming an intra-stage abnormal state set.

[0056] Step S1321: extracting the normal state information corresponding to each test stage from the train brake machine test full-process association information set, the normal state information including the standard running performance description and the allowable fluctuation range description of each component in the corresponding stage.

[0057] From the train brake test full-process associated information set, the normal state information is extracted according to the test stage. The normal state information in the pre-test stage includes: the standard start response time of the air compressor, the rated pressure establishment time and the allowable fluctuation range, the standard pressure holding time of the air storage cylinder, the leakage amount and the allowable fluctuation range. The normal state information in the no-load test stage includes: the standard action response time of the brake valve, the valve opening degree adjustment accuracy and the allowable fluctuation range, the standard pressure rise rate of the brake cylinder, the pressure stabilization time and the allowable fluctuation range, the standard relief response time of the relief valve, the pressure release rate and the allowable fluctuation range. The normal state information in the load test stage also includes the standard pressure loss value of the brake hose, the vibration frequency and the allowable fluctuation range, the standard pressure trigger threshold of the pressure relay, the response sensitivity and the allowable fluctuation range. The normal state information in the emergency brake test stage includes the standard emergency response time of each component, the pressure peak value, the action synchronization and the allowable fluctuation range.

[0058] Step S1322: For each test stage in the real-time collected brake test state information, the real-time component running state information of each component in the stage is extracted, the real-time component running state information is classified and arranged according to the component type, and a stage real-time state classification set is formed.

[0059] For the real-time collected brake test state information, it is sequentially split according to the pre-test stage, the no-load test stage, the load test stage and the emergency brake test stage. In each stage, it is classified according to the component type: the pre-test stage is divided into air compressor type and air storage cylinder type; the no-load test stage is divided into brake valve type, brake cylinder type and relief valve type; the load test stage adds brake hose type and pressure relay type on the basis of the classification of the no-load stage; the emergency brake test stage contains all component types. The corresponding real-time running state data is stored under each component type, such as the real-time pressure value, the real-time start response time and the real-time pressure fluctuation amplitude under the air compressor type, to form a stage real-time state classification set.

[0060] Step S1323: Each component real-time state in the stage real-time state classification set is compared with the standard running performance description of the component in the corresponding stage normal state information item by item, and it is judged whether the real-time state conforms to the standard running performance description.

[0061] Take the real-time state of the brake valve in the no-load test phase as an example, compare the real-time action response time of the brake valve with the standard action response time description in the normal state information, and determine whether the real-time response time is within the "fast response, no delay" range of the standard description; compare the real-time valve opening adjustment accuracy with the "accurate adjustment, small deviation" of the standard description, and determine whether the real-time adjustment accuracy meets the standard requirements. Similarly, compare the real-time pressure rise rate of the brake cylinder with the "smooth rise, rate meets the standard" of the standard description, and compare the real-time relief response time of the relief valve with the "timely relief, rapid response" of the standard description, and determine whether the real-time state of each component meets the standard operation performance description in the normal state information of the corresponding phase.

[0062] Step S1324: If the real-time state of any component does not meet the standard operation performance description in the normal state information of the corresponding phase, further check whether the real-time state exceeds the allowed fluctuation range description.

[0063] When it is found that the real-time action response time of the brake valve in the no-load test phase does not meet the standard description of "fast response, no delay", the allowed fluctuation range description of the brake valve action response time in the normal state information is retrieved, and it is checked whether the real-time action response time is within the allowed range. For example, if the allowed fluctuation range is "standard duration ± 10%", it is determined whether the real-time response time exceeds this range. If the real-time response time is only slightly slower than the standard description but does not exceed the allowed fluctuation range, it is not determined as abnormal; if the real-time response time not only does not meet the standard description but also exceeds the allowed fluctuation range, the next step of the abnormal marking process is entered.

[0064] Step S1325: If the real-time state exceeds the allowed fluctuation range description, mark the real-time state of the component as an abnormal state item, and record the component identifier, phase identifier and state difference description corresponding to the abnormal state item.

[0065] When it is confirmed that the real-time action response time of the brake valve in the no-load test phase exceeds the allowed fluctuation range, the state is marked as an abnormal state item. The component identifier of the abnormal state item is recorded as "brake valve-01", the phase identifier is recorded as "no-load test phase", and the state difference description is recorded as "action response time exceeds the allowed fluctuation range, increases by 15% compared with the standard duration". If it is also found that the real-time leakage of the air storage cylinder in the load test phase exceeds the allowed fluctuation range, it is marked as an abnormal state item, and the component identifier "air storage cylinder-02", the phase identifier "load test phase", and the state difference description "leakage exceeds the allowed fluctuation range, increases by 20% compared with the standard value" are recorded.

[0066] Step S1326: Group all marked abnormal state items by test phase to form a set of abnormal state items corresponding to each test phase.

[0067] The completed abnormal state items are classified according to the test stages: the abnormal state items of the no-load test stage are classified into a group to form an abnormal state set in the no-load test stage, including the items such as "brake valve-01: action response time exceeds the allowed range"; the abnormal state items of the load test stage are classified into a group to form an abnormal state set in the load test stage, including the items such as "air storage cylinder-02: leakage exceeds the allowed range". If no abnormality is found in other stages, the in-stage abnormal state set of the corresponding stage is empty.

[0068] Step S133: Based on the associated attributes of the stage nodes and edges of the brake machine test monitoring and diagnosis association chain, the test stage in which the abnormal state item in the in-stage abnormal state set is located is located, and the abnormal occurrence stage is determined.

[0069] Each in-stage abnormal state set is traversed, and for each abnormal state item, its stage identifier is located in the stage node of the brake machine test monitoring and diagnosis association chain. For example, for the brake valve abnormal state item with a stage identifier of "no-load test stage", the "no-load test stage" node is located in the association chain, and it is determined that the abnormality occurs in the no-load test stage; for the air storage cylinder abnormal state item with a stage identifier of "load test stage", the "load test stage" node is located, and it is determined that the abnormality occurs in the load test stage. The occurrence stages corresponding to all abnormal state items are summarized to form an abnormal occurrence stage list.

[0070] Step S134: According to the associated attributes of the edges in the brake machine test monitoring and diagnosis association chain, the component states in each stage before the abnormal occurrence stage which have a conduction relationship with the abnormal state item are traced back, the pre-associated components which have an impact on the abnormal state item are identified, and an abnormal associated component list is formed.

[0071] Step S1341: The predecessor stage node of the abnormal occurrence stage is extracted from the brake machine test monitoring and diagnosis association chain to determine all possible influence stages before the abnormal occurrence stage, and a predecessor stage list is formed.

[0072] For the brake valve abnormality of the no-load test stage, the "pre-test stage" node is extracted as the predecessor stage node of the "no-load test stage" node in the brake machine test monitoring and diagnosis association chain, and is included in the predecessor stage list; for the air storage cylinder abnormality of the load test stage, the "no-load test stage" node is extracted as the predecessor stage node of the "load test stage" node, and is included in the predecessor stage list.

[0073] Step S1342: For each predecessor stage in the predecessor stage list, the associated attributes of the edges between the predecessor stage and the abnormal occurrence stage are extracted to determine the component types in the predecessor stage which may have an impact on the component state of the abnormal occurrence stage.

[0074] For the pre-stage of the abnormal brake valve in the no-load test phase, the associated attribute of the edge between the pre-test phase and the no-load test phase is "pressure conduction influence - influence brake valve action response and regulation accuracy", and according to the attribute, the type of the component that may have an impact in the pre-stage is determined as "air compressor" (pressure conduction source component). For the pre-stage of the abnormal air reservoir in the load test phase, the associated attribute of the edge between the two is "pressure feedback influence - influence air reservoir pressure retention and stability", and the type of the component that may have an impact in the pre-stage is determined as "brake cylinder" (pressure feedback source component).

[0075] Step S1343: Retrieve the historical component state records of the pre-stage from the train brake tester test whole-process correlation information set, and filter out the historical component states associated with the component type of the abnormal state item.

[0076] Retrieve the historical component state records of the pre-test phase, and filter out the air compressor historical state records associated with the "brake valve" type, such as the historical record of "air compressor pressure drop leading to brake valve response delay"; retrieve the historical component state records of the no-load test phase, and filter out the brake cylinder historical state records associated with the "air reservoir" type, such as the historical record of "brake cylinder pressure rise rate insufficient leading to air reservoir pressure consumption too fast".

[0077] Step S1344: Compare the historical component state of the pre-stage with the real-time component state of the pre-stage in the brake tester test state information collected in real time, and identify the potential impact state that is different from the historical normal state.

[0078] Compare the real-time state of the air compressor in the pre-test phase with the historical normal state, if the pressure fluctuation amplitude of the air compressor in the real-time state increases by 10% compared with the historical normal state, the state is identified as a potential impact state; compare the real-time state of the brake cylinder in the no-load test phase with the historical normal state, if the pressure rise rate of the brake cylinder in the real-time state decreases by 12% compared with the historical normal state, the state is identified as a potential impact state.

[0079] Step S1345: Analyze the conduction association between the potential impact state and the abnormal state item, and determine whether the potential impact state has an impact on the abnormal state item through the inter-stage component state conduction relationship.

[0080] The potential influence state of the pressure fluctuation increase of the air compressor in the pre-test stage is analyzed, and in combination with the conduction relationship of "air compressor pressure-brake valve action" in the correlation chain, it is judged that the pressure fluctuation increase will affect the action response of the brake valve in the no-load test stage through pressure conduction, and there is a direct conduction correlation with the brake valve abnormal state item; the potential influence state of the pressure rise rate reduction of the brake cylinder in the no-load test stage is analyzed, and in combination with the conduction relationship of "brake cylinder pressure-air reservoir pressure", it is judged that the rate reduction will affect the pressure maintenance of the air reservoir in the load test stage through pressure feedback, and there is a direct conduction correlation with the air reservoir abnormal state item.

[0081] Step S1346: If there is a conduction correlation, mark the component to which the potential influence state belongs as a preceding correlation component, record the identification of the preceding correlation component, the sequence stage where it is located, and the influence correlation description, and form an abnormal correlation component list.

[0082] The air compressor in the pre-test stage is marked as the preceding correlation component of the brake valve abnormality in the no-load test stage, and the component identification "air compressor-03", the sequence stage where it is located "pre-test stage", and the influence correlation description "pressure fluctuation increase through pressure conduction to cause brake valve action response delay" are recorded; the brake cylinder in the no-load test stage is marked as the preceding correlation component of the air reservoir abnormality in the load test stage, and the component identification "brake cylinder-04", the sequence stage where it is located "no-load test stage", and the influence correlation description "pressure rise rate reduction through pressure feedback to cause air reservoir leakage increase" are recorded. The above information is summarized to form an abnormal correlation component list.

[0083] Step S135: Along the conduction direction of the edges in the brake machine test monitoring and diagnosis correlation chain, track the path of the abnormal state item from the preceding correlation component in the sequence stage to the abnormal occurrence stage, record the stage nodes and conduction relationships in the path, and form an abnormal conduction path.

[0084] For the brake valve abnormality in the no-load test stage, along the conduction direction of the edges of "pre-test stage-no-load test stage" in the correlation chain (from left to right), the conduction path is tracked: starting from the preceding correlation component "air compressor-03" in the sequence stage node "pre-test stage", through the conduction relationship of "air compressor pressure conduction-brake valve action", to the abnormal component "brake valve-01" in the abnormal occurrence stage node "no-load test stage". The path is recorded as "pre-test stage (air compressor-03)--[pressure conduction relationship]--no-load test stage (brake valve-01)".

[0085] For the abnormality of the storage air cylinder in the load test phase, along the conduction direction of the edge of "no-load test phase-load test phase", the conduction path is traced: starting from the preceding associated component "brake cylinder-04" of the preceding stage node "no-load test phase", through the conduction relationship of "brake cylinder pressure feedback-storage air cylinder pressure", it is conducted to the abnormal component "storage air cylinder-02" of the abnormality occurrence stage node "load test phase". The path is recorded as "no-load test phase (brake cylinder-04)--[pressure feedback relationship]--load test phase (storage air cylinder-02)".

[0086] If the abnormality exists subsequent conduction risk, such as the abnormality of the storage air cylinder in the load test phase may be conducted to the emergency braking phase, then continue to track the path: from "storage air cylinder-02" through the conduction relationship of "storage air cylinder pressure supply-brake cylinder pressure", it is conducted to "brake cylinder-04" of "emergency braking test phase", and the complete path is recorded as "no-load test phase (brake cylinder-04)--[pressure feedback relationship]--load test phase (storage air cylinder-02)--[pressure supply relationship]--emergency braking test phase (brake cylinder-04)".

[0087] Step S136: integrate the abnormality occurrence stage, the list of abnormal associated components and the abnormality conduction path, mark the influence degree description of each abnormal associated component, and generate the brake machine test abnormality diagnosis result containing the abnormality occurrence stage, the abnormal associated component and the abnormality conduction path.

[0088] Integrate the abnormality occurrence stage (no-load test phase, load test phase), the list of abnormal associated components (air compressor-03, brake cylinder-04) and the abnormality conduction path. Mark the influence degree description for each abnormal associated component: the influence degree of air compressor-03 on brake valve-01 is "main influence, directly leading to abnormality"; the influence degree of brake cylinder-04 on storage air cylinder-02 is "main influence, directly leading to abnormality", and the influence degree of storage air cylinder-02 on brake cylinder-04 in the emergency braking phase is "potential influence, which may lead to subsequent abnormality".

[0089] After integration, the brake machine test abnormal diagnosis result is generated, and the content is as follows: "1. Abnormal occurrence stage: no-load test stage; Abnormal associated components: air compressor-03 (impact degree: major impact); Abnormal transmission path: pre-test stage (air compressor-03) --[pressure transmission relationship]--no-load test stage (brake valve-01); Abnormal description: brake valve-01 action response time exceeds the allowable fluctuation range, and is 15% longer than the standard time, which is directly caused by the increase of air compressor-03 pressure fluctuation in the pre-test stage through pressure transmission relationship. 2. Abnormal occurrence stage: load test stage; Abnormal associated components: brake cylinder-04 (impact degree: major impact), air storage cylinder-02 (impact degree: potential impact); Abnormal transmission path: no-load test stage (brake cylinder-04) --[pressure feedback relationship]--load test stage (air storage cylinder-02) --[pressure supply relationship]--emergency brake test stage (brake cylinder-04); Abnormal description: The leakage of air storage cylinder-02 exceeds the allowable fluctuation range, and is 20% higher than the standard value, which is directly caused by the decrease of brake cylinder-04 pressure rise rate in the no-load test stage through pressure feedback relationship, and the abnormality may affect the pressure peak performance of brake cylinder-04 in the emergency brake test stage through pressure supply relationship".

[0090] Step S140: Based on the brake machine test abnormal diagnosis result, combine the historical test fault associated information in the train brake machine test whole process associated information set to generate a brake machine test monitoring and management strategy, which includes abnormal handling measures, test process adjustment suggestions and component maintenance priority.

[0091] According to the above brake machine test abnormal diagnosis result, the historical test fault associated information related to brake valve action response delay and air storage cylinder leakage increase is retrieved from the train brake machine test whole process associated information set, and the treatment scheme, test process adjustment case and component maintenance record of similar faults are screened out. Combined with the specific performance of the current abnormality (such as brake valve response delay amplitude, air storage cylinder leakage increase), the abnormal handling measures for the current test are formulated, and how to solve the current abnormality is clarified; the weak links of the test process exposed in the abnormal transmission path are analyzed, and the suggestions of adjusting the test link order or adding the inspection steps are proposed; according to the influence degree of the abnormal associated components and the historical maintenance urgency, the maintenance priority of each component is determined, and finally the complete brake machine test monitoring and management strategy is integrated.

[0092] Step S141: Extract historical test fault associated information from the train brake machine test whole process associated information set, which includes fault type, treatment scheme, treatment effect and associated component maintenance record of historical abnormal events.

[0093] From the historical test fault correlation information module of the train brake test full-process correlation information set, the records of two types of faults, "brake valve action response delay" and "increased air reservoir leakage", are selected according to the fault type. The following contents are extracted from each record: fault type (clearly brake valve response delay or air reservoir leakage), treatment scheme (such as adjusting air compressor pressure parameter, replacing brake valve sealing ring, tightening air reservoir interface bolt, etc.), treatment effect (such as description of brake valve response time returning to standard range after treatment, air reservoir leakage decreasing to below the allowable value), and associated component maintenance record (such as air compressor maintenance cycle, brake valve replacement time, air reservoir sealing detection record, etc.). For example, a historical record is extracted: the fault type is brake valve action response delay, the treatment scheme is "adjust the pressure regulating knob of the air compressor to increase the output pressure to the upper limit of the standard, and clean the internal valve core of the brake valve", the treatment effect is "the brake valve response time is reduced from 18% to 2% longer, which meets the allowable fluctuation range", and the associated component maintenance record is "the air compressor was last maintained three months ago, and the brake valve core has not been replaced for twelve months".

[0094] Step S142: Match the abnormality occurrence stage, abnormality associated components and abnormality conduction path in the brake test abnormality diagnosis result with the historical abnormality events in the historical test fault correlation information, filter out the historical abnormality events similar to the current abnormality condition, and form a similar historical event set.

[0095] Step S1421: Identify the abnormality occurrence stage in the brake test abnormality diagnosis result, determine the test stage type in which the current abnormality occurs and the test working condition characteristics of the abnormality occurrence stage.

[0096] The occurrence stages of the current two abnormalities are identified: the first abnormality is in the no-load test stage, and the test working condition characteristics of the no-load test stage are that the simulation running speed is in the transition from medium speed to high speed, the load is set to zero load, and the environmental temperature and humidity are in the standard range; the second abnormality is in the load test stage, and the working condition characteristics are that the load is set to 80% of the rated load, the simulation running speed is high speed, and the environmental temperature is slightly higher than the standard range.

[0097] Step S1422: Classify the abnormality associated components in the brake test abnormality diagnosis result, determine the component types involved in the current abnormality and the functional positioning of each component in the brake system.

[0098] Classify the abnormal associated components: air compressor-03 belongs to pressure supply type component, the function positioning is to provide compressed air for the whole brake system; brake valve-01 belongs to control type component, the function positioning is to control the pressure on-off and size of brake cylinder; brake cylinder-04 belongs to execution type component, the function positioning is to convert pressure energy into mechanical energy to realize brake action; air storage cylinder-02 belongs to energy storage type component, the function positioning is to store compressed air and stabilize system pressure.

[0099] Step S1423: analyze the abnormal conduction path in the brake machine test abnormal diagnosis result, determine the conduction sequence of the current abnormality from the starting stage to the occurrence stage and the involved intermediate stage.

[0100] Analyze the conduction path of the current abnormality: the conduction sequence of the first abnormality is pre-test stage (air compressor-03) --no-load test stage (brake valve-01), without intermediate stage; the conduction sequence of the second abnormality is no-load test stage (brake cylinder-04) --load test stage (air storage cylinder-02) --emergency brake test stage (brake cylinder-04), the intermediate stage is the transition link from load test stage to emergency brake test stage.

[0101] Step S1424: extract the fault occurrence stage, involved components and fault conduction path of each historical abnormal event from the historical test fault association information to form a historical abnormal feature set.

[0102] From the historical test fault association information, extract the fault occurrence stage (such as no-load test stage, load test stage), involved components (such as air compressor, brake valve, air storage cylinder, etc.), fault conduction path (such as "pre-test stage air compressor-no-load test stage brake valve", "no-load test stage brake cylinder-load test stage air storage cylinder", etc.) for each historical abnormal event, and combine the above information to form a historical abnormal feature set. For example, the characteristics of a certain historical abnormal event are: the fault occurrence stage is no-load test stage, the involved components are air compressor and brake valve, and the fault conduction path is "pre-test stage air compressor-no-load test stage brake valve".

[0103] Step S1425: compare the test stage type, component type and conduction sequence of the current abnormality with the corresponding features of each historical abnormal event in the historical abnormal feature set, and judge the matching degree of each feature.

[0104] Compare the features of the current first exception with the historical exception feature set: the test phase types are all idle test phases, the matching degree is high; the component types are all air compressors and brake valves, the matching degree is high; the transmission sequences are all "pre-test phase air compressor - idle test phase brake valve", the matching degree is high. Compare the features of the current second exception with the historical exception feature set: the test phase types are all load test phases, the matching degree is high; the component types are all brake cylinders and air reservoirs, the matching degree is high; the transmission sequences are all "idle test phase brake cylinder - load test phase air reservoir", the matching degree is high.

[0105] Step S1426: Set a feature matching threshold, filter out historical exception events with a matching degree reaching the threshold, and form a similar historical event set.

[0106] Set the feature matching threshold to "three features (test phase type, component type, transmission sequence) all reaching high matching degree". According to this threshold, filter out historical events that meet the three high matching degrees with the current two exceptions from the historical exception feature set, for example, filter out three historical events similar to the first exception and two historical events similar to the second exception, and combine the above historical events to form a similar historical event set.

[0107] Step S143: Extract the handling scheme of the historical exception event from the similar historical event set, adjust the operation details in the handling scheme combined with the specific performance of the current exception, and form an exception handling measure for the current exception.

[0108] Extract the historical handling scheme similar to the first exception (brake valve-01 response delay) from the similar historical event set, such as "adjust the air compressor pressure to the standard upper limit, clean the brake valve spool, check the brake valve terminal". Combined with the specific performance of the current exception that the air compressor-03 pressure fluctuation increases by 15%, adjust the operation details: "adjust the air compressor pressure to the standard upper limit" is refined to "monitor the air compressor output pressure through the test data acquisition system, rotate the pressure adjusting knob to adjust the pressure from the current fluctuation range to the stable range of standard value ± 2%"; "clean the brake valve spool" is refined to "remove the brake valve upper cover, wipe the valve core surface with anhydrous ethanol, check the valve core wear, and replace the valve core if the wear exceeds the standard"; add the operation step of "check whether there is air leakage between the brake valve and the air compressor, apply soapy water to the interface to observe whether there is air bubble".

[0109] Extract similar historical treatment solutions from the similar historical event set as the second anomaly (air storage cylinder-02 leakage increase), such as "tighten air storage cylinder inlet and outlet gas interface bolts, replace interface sealing ring, detect air storage cylinder wall thickness". Combine the specific performance of the current air storage cylinder-02 leakage increase by 20%, adjust the operation details: "tighten the interface bolts" is refined to "use a torque wrench to tighten the inlet and outlet gas interface bolts according to the standard torque value, first tighten the inlet interface and then tighten the outlet interface"; "replace the interface sealing ring" is refined to "remove the old sealing ring, measure the sealing ring size to ensure it meets the standard, replace it with a fluorine rubber sealing ring, and install it after applying sealing grease"; add "use an ultrasonic leak detector to conduct a comprehensive inspection of the air storage cylinder body to check for any cylinder body cracks". The adjusted treatment solution is arranged as an abnormal treatment measure for the current anomaly.

[0110] Step S144: Analyze the abnormal conduction path in the brake machine test abnormal diagnosis result, identify the weak link in the test process that may cause abnormal conduction, and propose test process adjustment suggestions such as adjusting the test link order or adding intermediate inspection steps based on the test stage sequence.

[0111] Analyze the conduction path of the first anomaly "pre-test stage air compressor - no-load test stage brake valve", identify the weak link as "after the pre-test stage, the air compressor pressure stability is not checked, directly entering the no-load test stage, causing the pressure fluctuation problem not to be discovered and conducted to the brake valve in time". Based on the test stage sequence, propose the suggestion of adding an intermediate inspection step: "after the pre-test stage, before the no-load test stage, add an 'air compressor pressure stability detection' link, continuously monitor the air compressor output pressure for five minutes, if the pressure fluctuation amplitude exceeds the standard range, then pause the test and perform air compressor adjustment operation until the pressure is stable".

[0112] The second abnormality conduction path "empty load test phase brake cylinder - load test phase air storage cylinder - emergency brake test phase brake cylinder" is analyzed, and the weak link is identified as "after the end of the empty load test phase, the brake cylinder pressure rise rate is not verified, and directly enters the high load test phase, resulting in brake cylinder performance problems being amplified under high load and transmitted to the air storage cylinder; after the end of the load test phase, the air storage cylinder leakage is not detected, which may cause abnormality to be transmitted to the emergency brake phase". Combined with the test phase sequence, the adjustment suggestions are proposed: "first, after the end of the empty load test phase and before the start of the load test phase, add a "brake cylinder pressure performance verification" link, simulate the initial pressure condition of the load test phase, test the brake cylinder pressure rise rate, and if it does not meet the standard, adjust it; second, after the end of the load test phase and before the start of the emergency brake test phase, add a "air storage cylinder sealing detection" link, close the air storage cylinder inlet valve, and measure the pressure drop after ten minutes of standing, if the drop value exceeds the standard, carry out leakage treatment".

[0113] Step S145: According to the influence degree description of the abnormal associated components in the brake machine test abnormality diagnosis result, combined with the maintenance urgency description of the maintenance record of the associated components in the historical test fault association information, the maintenance priority of each abnormal associated component is determined.

[0114] Step S1451: Extract the influence degree description of each abnormal associated component from the brake machine test abnormality diagnosis result, and classify the abnormal associated components according to the influence degree description into main influence components, secondary influence components and indirect influence components.

[0115] The influence degree description of the abnormal associated components is extracted: air compressor-03 is "main influence", brake cylinder-04 is "main influence", and air storage cylinder-02 is "potential influence". According to the classification description: the main influence components are air compressor-03 and brake cylinder-04; the potential influence component is air storage cylinder-02; there is no secondary influence component and indirect influence component at present.

[0116] Step S1452: Extract the maintenance record corresponding to each abnormal associated component from the historical test fault association information, and view the maintenance urgency description in the maintenance record, which includes the risk description of component failure causing test interruption and the component repair cycle description.

[0117] Extract the historical maintenance records of each component: the maintenance record of air compressor-03 shows that the maintenance urgency is high, the fault may cause the entire brake system to be under pressure, the test interruption risk is high, the repair cycle is short, and the adjustment parameter can be restored; the maintenance record of brake cylinder-04 shows that the maintenance urgency is high, the fault may cause the brake to fail to execute, the test interruption risk is high, the repair cycle is medium, and the internal parts need to be cleaned or replaced; the maintenance record of air storage cylinder-02 shows that the maintenance urgency is medium, the current leakage has not caused the test to be interrupted, but if it continues to increase, the risk will increase, the repair cycle is short, and the sealing ring can be tightened or replaced to restore it.

[0118] Step S1453: Assign a basic priority weight to the primary influencing component, the secondary influencing component, and the indirectly influencing component, respectively. The basic priority weight of the primary influencing component is higher than that of the secondary influencing component, and the basic priority weight of the secondary influencing component is higher than that of the indirectly influencing component.

[0119] Set the basic priority weight: the basic weight of the primary influencing component is "high", the basic weight of the secondary influencing component is "medium", and the basic weight of the indirectly influencing component is "low". Therefore, the basic weight of air compressor-03 and brake cylinder-04 is "high", and the basic weight of air storage cylinder-02 is "medium" because it belongs to a potential influencing component.

[0120] Step S1454: According to the maintenance urgency description in the maintenance record, assign an emergency adjustment weight to each abnormal associated component.

[0121] Assign adjustment weight according to maintenance urgency description: air compressor-03 has high maintenance urgency and short repair cycle, adjustment weight is "+ high"; brake cylinder-04 has high maintenance urgency and medium repair cycle, adjustment weight is "+ medium"; air storage cylinder-02 has medium maintenance urgency and short repair cycle, adjustment weight is "+ low".

[0122] Step S1455: Combine the basic priority weight and the emergency adjustment weight of each abnormal associated component to determine the final priority order of each abnormal associated component.

[0123] Combine the basic weight and the adjustment weight: air compressor-03 is "high + high", the final priority is "1st (highest)"; brake cylinder-04 is "high + medium", the final priority is "2nd (second highest)"; air storage cylinder-02 is "medium + low", the final priority is "3rd (medium)".

[0124] Step S1456: According to the final priority order, arrange each abnormal associated component in priority from high to low, determine the maintenance order and time requirement of each component, and determine the maintenance priority of each abnormal associated component.

[0125] The final priority order is: 1st level is air compressor-03, the maintenance order is the first, and the time requirement is "immediate maintenance adjustment"; 2nd level is brake cylinder-04, the maintenance order is the second, and the time requirement is "immediately after the air compressor maintenance is completed"; 3rd level is air storage cylinder-02, the maintenance order is the third, and the time requirement is "after the brake cylinder maintenance is completed, if the load test stage is not interrupted, it can be executed after the stage is completed". Thus, the maintenance priority of each abnormal associated component is determined.

[0126] Step S146: The abnormal treatment measures, test flow adjustment suggestions and component maintenance priority are integrated, the implementation time and mutual cooperation requirements of each measure are marked, and a brake test monitoring management strategy including abnormal treatment measures, test flow adjustment suggestions and component maintenance priority is generated.

[0127] The abnormal treatment measures, test flow adjustment suggestions and component maintenance priority for the two abnormalities are integrated in the order of test stages. The implementation time is marked: the adjustment measure implementation time of air compressor-03 is "the newly added inspection link between the current pre-test stage and the no-load test stage"; the cleaning inspection measure implementation time of brake valve-01 is "after the air compressor adjustment is completed, before the no-load test stage is restarted"; the maintenance measure implementation time of brake cylinder-04 is "after the no-load test stage is completed, before the newly added brake cylinder pressure performance verification link"; and the leakage treatment measure implementation time of air storage cylinder-02 is "after the load test stage is completed, before the newly added air storage cylinder sealing detection link".

[0128] The mutual cooperation requirements are marked: "after the air compressor adjustment is completed, the pre-test stage pressure establishment test needs to be performed again, and after passing, the brake valve cleaning inspection can be performed; after the brake cylinder maintenance is completed, the newly added pressure performance verification link needs to be tested and passed, and then the load test stage can be entered; after the air storage cylinder leakage treatment is completed, the sealing detection link needs to be confirmed and passed, and then the emergency brake test stage can be entered".

[0129] The finally generated brake test monitoring management strategy includes three modules: 1) the abnormal treatment measure module, which lists the specific operation steps for air compressor, brake valve, brake cylinder and air storage cylinder; 2) the test flow adjustment suggestion module, which clearly indicates the three newly added intermediate inspection links and implementation requirements; and 3) the component maintenance priority module, which clearly indicates the maintenance order and time requirement of each component according to the 1st to 3rd level, and marks the implementation time and cooperation requirements of each measure.

[0130] Figure 2An exemplary hardware and software components of the train brake tester monitoring and diagnostic management system 100 that can implement the train brake tester monitoring and diagnostic management method of the present application are shown in the schematic diagram. For example, a processor 120 can be used in the train brake tester monitoring and diagnostic management system 100 and used to perform the functions in the present application.

[0131] The train brake tester monitoring and diagnostic management system 100 can be a general purpose server or a special purpose server, both of which can be used to implement the train brake tester monitoring and diagnostic management method of the present application. Although only one server is shown in the present application, for the sake of convenience, the functions described in the present application can be implemented in a distributed manner on multiple similar platforms to balance the processing load.

[0132] For example, the train brake tester monitoring and diagnostic management system 100 can include a network port 110 connected to a network, one or more processors 120 for executing program instructions, a communication bus 130, and different forms of storage media 140, such as a disk, a ROM, or a RAM, or any combination thereof. Exemplarily, the train brake tester monitoring and diagnostic management system 100 can also include program instructions stored in a ROM, a RAM, or other types of non-transitory storage media, or any combination thereof. The method of the present application can be implemented according to these program instructions. The train brake tester monitoring and diagnostic management system 100 also includes an I / O interface 150 between the computer and other input / output devices.

[0133] For the sake of convenience, only one processor is described in the train brake tester monitoring and diagnostic management system 100. However, it should be noted that the train brake tester monitoring and diagnostic management system 100 in the present application can also include multiple processors, so the steps performed by one processor described in the present application can also be jointly performed or separately performed by multiple processors. For example, if the processor of the train brake tester monitoring and diagnostic management system 100 performs steps A and B, it should be understood that steps A and B can also be jointly performed by two different processors or separately performed in one processor. For example, a first processor performs step A, a second processor performs step B, or the first processor and the second processor jointly perform steps A and B.

[0134] In addition, the present application also provides a readable storage medium, wherein computer executable instructions are pre-stored in the readable storage medium, and when the processor executes the computer executable instructions, the train brake tester monitoring and diagnostic management method described above is implemented.

[0135] It should be noted that, in order to simplify the description of the present application and to help understand one or more embodiments of the present application, in the foregoing description of the embodiments of the present application, various features are sometimes combined into one embodiment, drawing or description thereof.

Claims

1. A method of monitoring and diagnosing management of a test of a train brake, characterized by, The method comprises: acquiring a train brake tester full-process correlation information set, the train brake tester full-process correlation information set containing operation state information, test working condition information and historical test fault correlation information of each component test stage of the brake; establishing a brake test monitoring and diagnosis correlation chain based on the train brake tester full-process correlation information set, the brake test monitoring and diagnosis correlation chain taking a test stage as a node and a component state transmission relationship between stages as an edge, and the correlation attribute of the edge being determined according to the influence of the component state of a previous stage on the component state of a next stage; performing abnormality transmission analysis between stages on the real-time collected brake test state information through the brake test monitoring and diagnosis correlation chain, generating a brake test abnormality diagnosis result, the brake test abnormality diagnosis result containing an abnormality occurrence stage, an abnormality correlation component and an abnormality transmission path; generating a brake test monitoring and management strategy based on the brake test abnormality diagnosis result and in combination with the historical test fault correlation information in the train brake tester full-process correlation information set, the brake test monitoring and management strategy containing abnormality processing measures, test flow adjustment suggestions and component maintenance priorities; The method comprises: dividing the train brake tester full-process correlation information set into test stages, dividing information into stage information units corresponding to each stage according to the pre-test stage, the no-load test stage, the load test stage and the emergency brake test stage of the brake test, and each stage information unit containing operation state information, test working condition information and component state correlation records between stages of each component in the stage; for each stage information unit, extracting key state representation items in the operation state information of each component in the stage, the key state representation items representing the core operation performance of the component in the stage, and forming an intra-stage key state set; comparing the intra-stage key state sets of adjacent stage information units, identifying the correspondence between the key state representation items of a previous stage and the key state representation items of a next stage, determining the component state transmission relationship between stages, and forming an inter-stage transmission relationship set; creating an initial correlation chain structure with each test stage as an independent node, taking each transmission relationship in the inter-stage transmission relationship set as an edge connecting corresponding stage nodes, and forming an initial brake test monitoring and diagnosis correlation chain; analyzing the influence of the component state of a previous stage on the component state of a next stage corresponding to each edge in the initial brake test monitoring and diagnosis correlation chain, the influence being determined by recording the changes in the component state of the next stage when the component state of the previous stage changes; assigning a correlation attribute to each edge in the initial brake test monitoring and diagnosis correlation chain according to the influence, optimizing the structure of the initial brake test monitoring and diagnosis correlation chain based on the correlation attribute, and generating the brake test monitoring and diagnosis correlation chain, the correlation attribute containing an influence type and an influence range description. The abnormal state item in the stage abnormal state set is located in the test stage based on the association attribute of the stage node and the edge of the brake test monitoring and diagnosis association chain, and the abnormal occurrence stage is determined. According to the association attribute of the edge in the brake test monitoring and diagnosis association chain, the component state in each stage before the abnormal occurrence stage which has a conduction relationship with the abnormal state item is traced back, the pre-associated components which have an impact on the abnormal state item are identified, and an abnormal associated component list is formed. Along the conduction direction of the edge in the brake test monitoring and diagnosis association chain, the path of the abnormal state item from the stage where the pre-associated component is located to the abnormal occurrence stage is tracked, the stage node and the conduction relationship in the path are recorded, and an abnormal conduction path is formed. The abnormal occurrence stage, the abnormal associated component list and the abnormal conduction path are integrated, the influence degree description of each abnormal associated component is labeled, and a brake test abnormal diagnosis result containing the abnormal occurrence stage, the abnormal associated component and the abnormal conduction path is generated. The brake test monitoring and management strategy is generated based on the brake test abnormal diagnosis result and combined with the historical test fault association information in the train brake test whole process association information set, including: The historical test fault association information is extracted from the train brake test whole process association information set, and the historical abnormal event fault type, processing scheme, processing effect and associated component maintenance record are contained. The abnormal occurrence stage, the abnormal associated component and the abnormal conduction path in the brake test abnormal diagnosis result are matched with the historical abnormal event in the historical test fault association information, the historical abnormal event similar to the current abnormal situation is filtered out, and a similar historical event set is formed. The processing scheme of the historical abnormal event is extracted from the similar historical event set, the operation details in the processing scheme are adjusted combined with the specific performance of the current abnormal situation, and an abnormal processing measure for the current abnormality is formed. The abnormal conduction path in the brake test abnormal diagnosis result is analyzed, the weak link in the test process that may cause abnormal conduction is identified, the test process adjustment suggestion of adjusting the test link order or adding intermediate check steps is proposed combined with the order of the test stages. ​ ​ ​ According to the influence degree description of the abnormal associated components in the brake test abnormal diagnosis result, combined with the maintenance urgency of the maintenance record of the associated components in the historical test fault associated information, the maintenance priority of each abnormal associated component is determined; The abnormal treatment measures, test process adjustment suggestions and component maintenance priorities are integrated, the implementation time and mutual cooperation requirements of each measure are marked, and a brake test monitoring management strategy including abnormal treatment measures, test process adjustment suggestions and component maintenance priorities is generated.

2. The train brake tester monitoring and diagnostic management method of claim 1 wherein, The analysis of the influence of the previous stage component state on the next stage component state corresponding to each edge in the initial brake test monitoring diagnosis associated chain includes: Extract the component state change record of adjacent stages from the train brake test whole-process associated information set, and the component state change record contains the change content of the previous stage component state and the change content of the next stage component state; For each edge in the initial brake test monitoring diagnosis associated chain, locate the previous stage and the next stage connected by the edge, and extract the component state change record corresponding to the previous stage and the next stage; Compare the change content in the previous stage component state change record with the change content in the next stage component state change record to identify whether the next stage component state change occurs immediately after the previous stage component state change; If the next stage component state change occurs immediately after the previous stage component state change, record the type of the previous stage component state change and the type of the next stage component state change, and describe the change association between them; Statistical the association occurrence frequency of the previous stage component state change and the next stage component state change in multiple tests, and record the stability degree of the association occurrence; Comprehensive the association type, association occurrence frequency and stability degree of the previous stage component state change on the next stage component state change, form the influence performance description of the previous stage component state on the next stage component state.

3. The method of claim 1, wherein, The comparison of the real-time collected brake test state information and the normal state information of the corresponding stage in the train brake test whole-process associated information set identifies the abnormal state items that exist differences between the real-time component running state information and the normal state information, forms an intra-stage abnormal state set, including: Extract the normal state information corresponding to each test stage from the train brake test whole-process associated information set, and the normal state information contains the standard operation performance description and the allowed fluctuation range description of each component in the corresponding stage; For each test stage in the real-time collected brake test state information, extract the real-time component running state information of each component in the stage, classify and organize the real-time component running state information by component type to form a stage real-time state classification set; Compare each component real-time state in the stage real-time state classification set with the standard operation performance description of the component in the corresponding stage normal state information item by item, and determine whether the real-time state conforms to the standard operation performance description; If the real-time state of any component does not conform to the standard operating performance description in the corresponding stage normal state information, further check whether the real-time state exceeds the allowed fluctuation range description; If the real-time state exceeds the allowed fluctuation range description, mark the real-time state of the component as an abnormal state item, record the component identification, stage identification and state difference description corresponding to the abnormal state item; Group all marked abnormal state items according to the test stage to form a stage-in abnormal state set corresponding to each test stage.

4. The train brake tester monitoring and diagnostic management method of claim 1 wherein, The abnormal association component list is formed by tracing the component states in each stage before the abnormal occurrence stage and identifying the pre-associated components that affect the abnormal state item according to the association attribute of the edge in the brake test monitoring and diagnosis association chain, including: Extract the pre-sequence stage node of the abnormal occurrence stage from the brake test monitoring and diagnosis association chain, determine all possible influence stages before the abnormal occurrence stage, and form a pre-sequence stage list; For each pre-sequence stage in the pre-sequence stage list, extract the association attribute of the edge between the pre-sequence stage and the abnormal occurrence stage, and determine the component type that may affect the component state of the abnormal occurrence stage in the pre-sequence stage; Retrieve the historical component state record of the pre-sequence stage from the train brake test full-process association information set, and filter out the historical component state associated with the component type to which the abnormal state item belongs; Compare the historical component state of the pre-sequence stage with the real-time component state of the pre-sequence stage in the real-time collected brake test state information, and identify the potential influence state that has differences between the real-time component state and the historical normal state; Analyze the conduction association between the potential influence state and the abnormal state item to determine whether the potential influence state affects the abnormal state item through the inter-stage component state conduction relationship; If there is a conduction association, mark the component to which the potential influence state belongs as a pre-associated component, record the identification of the pre-associated component, the pre-sequence stage and the influence association description, and form an abnormal association component list.

5. The method of claim 1, wherein, The abnormal occurrence stage, abnormal association component and abnormal conduction path in the brake test abnormal diagnosis result are matched with the historical abnormal events in the historical test fault association information, the similar historical event set is formed by screening out the historical abnormal events similar to the current abnormal situation, including: Identify the abnormal occurrence stage in the brake test abnormal diagnosis result, determine the test stage type where the current abnormality occurs and the test working condition characteristics of the abnormal occurrence stage; Classify the abnormal association components in the brake test abnormal diagnosis result, determine the component types involved in the current abnormality and the functional positioning of each component in the brake system; Analyze the abnormal conduction path in the brake test abnormal diagnosis result, determine the conduction sequence of the current abnormality from the starting stage to the occurrence stage and the involved intermediate stages; Extract the fault occurrence stage, involved components and fault conduction path of each historical abnormal event from the historical test fault association information to form a historical abnormal feature set; The test phase type, component type, and conduction sequence of the current exception are compared with the corresponding features of each historical abnormal event in the historical abnormal feature set, and the matching degree of each feature is determined; A feature matching threshold is set, and historical abnormal events whose feature matching degrees reach the threshold are filtered out to form a similar historical event set.

6. The train brake tester monitoring and diagnostic management method of claim 1 wherein, The maintenance priority of each abnormal associated component is determined according to the influence degree description of the abnormal associated component in the brake machine test exception diagnosis result and the maintenance urgency description of the maintenance record of the associated component in the historical test fault association information, including: The influence degree description of each abnormal associated component is extracted from the brake machine test exception diagnosis result, and the abnormal associated components are divided into main influence components, secondary influence components, and indirect influence components according to the influence degree description; The corresponding maintenance record of each abnormal associated component is extracted from the historical test fault association information, and the maintenance urgency description in the maintenance record is viewed, which includes the risk description of component failure causing test interruption and the component repair cycle description; The main influence components, secondary influence components, and indirect influence components are respectively given a basic priority weight, and the basic priority weight of the main influence component is greater than that of the secondary influence component, and the basic priority weight of the secondary influence component is greater than that of the indirect influence component; According to the maintenance urgency description in the maintenance record, an emergency degree adjustment weight is given to each abnormal associated component; The basic priority weight and the emergency degree adjustment weight of each abnormal associated component are combined to comprehensively determine the final priority order of each abnormal associated component; According to the final priority order, each abnormal associated component is arranged in priority from high to low to determine the maintenance sequence and time requirement of each component, and the maintenance priority of each abnormal associated component is determined.

7. A train brake tester test monitoring and diagnostic management system, characterized by, The train brake machine test monitoring and diagnosis management method includes a processor and a memory, the memory and the processor are connected, the memory is used to store programs, instructions or codes, and the processor is used to execute the programs, instructions or codes in the memory to realize the train brake machine test monitoring and diagnosis management method in any one of claims 1-6.

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