CN115903720A - Fault diagnosis system and method for rail transit, and storage medium - Google Patents

Abstract

The invention provides a fault diagnosis system and method for rail transit and a storage medium, wherein the fault diagnosis system comprises the following steps: the system comprises network management equipment, a cloud platform and a fault diagnosis device, wherein the network management equipment is connected with a plurality of subsystems of the rail transit communication system so as to manage the subsystems; the cloud platform is used for receiving fault data which are uploaded by the network management equipment and correspond to a fault subsystem with a fault in the subsystems; the fault diagnosis device is used for acquiring fault data from the cloud platform, performing fault diagnosis on the fault subsystem according to the fault data, outputting a fault diagnosis result and outputting a fault solution corresponding to the fault diagnosis result. According to the fault diagnosis method and device, the fault data received from the cloud platform are obtained through the fault diagnosis device, intelligent fault diagnosis is carried out on the fault subsystem according to the fault data, the fault diagnosis result and the fault solution are output, maintenance personnel can conveniently and accurately judge the fault of the communication equipment, the solution is provided, efficiency is improved, and meanwhile human resources are saved.

Description

Fault diagnosis system, method and storage medium for rail transit

technical field

The present invention relates to the technical field of communication, in particular to a fault diagnosis system, method and storage medium for rail transit.

Background technique

The communication system is a network platform for rail transit operation command, enterprise management, public safety management, and passenger service. It is also the nervous system for the normal operation of rail transit, providing a basic guarantee for the speed, safety and punctuality of train operation. The communication system includes many subsystems such as transmission system, official telephone system, private telephone system, wireless trunking communication system, CCTV (Closed-Circuit Television, closed-circuit television monitoring system), PA (Public Address, cable broadcasting system), clock system, PIS (Passenger Information System, Passenger Information System), etc. Under normal circumstances, the communication system should ensure the safe and efficient operation of trains and provide high-quality service guarantee for passengers, and can quickly transform into disaster prevention and rescue and accident prevention under abnormal circumstances. Handling of the command communications system.

As the passenger flow of urban rail transit continues to rise, the requirements for the trouble-free operation of communication systems and equipment are getting higher and higher. The communication system maintenance management department needs to conduct health assessments on the operating status of equipment and systems. , A network management system is usually set up, such as the clock system, CCTV, PIS, PA and other systems all have a dedicated network management system, and each network management system is responsible for monitoring system equipment, servers, network and other fault information.

However, when the network management system is used to evaluate the health of equipment and system operating status, each system is scattered and independent, and it is impossible to form a fault diagnosis platform connected to each system. Low and easy to cause waste of human resources.

Contents of the invention

The present invention aims to solve at least one of the technical problems existing in the prior art.

For this reason, an object of the present invention is to propose a kind of fault diagnosis system for rail transit, this system obtains fault data from cloud platform through fault diagnosis device, carries out unified management to the diagnosis of fault subsystem based on cloud platform, according to fault data Carry out intelligent fault diagnosis for the fault subsystem, and output fault diagnosis results and fault solutions, avoiding the problem of waste of human resources and low efficiency caused by step-by-step query or direct use of expert database for each fault diagnosis, so as to facilitate Maintenance personnel can accurately judge the failure of communication equipment and provide solutions, which can save human resources while improving efficiency.

For this reason, the second object of the present invention is to propose a fault diagnosis method for rail transit.

Therefore, a third object of the present invention is to provide a computer-readable storage medium.

In order to achieve the above object, the embodiment of the first aspect of the present invention proposes a fault diagnosis system for rail transit, the system includes: network management equipment, the network management equipment is connected to multiple subsystems of the rail transit communication system to manage A plurality of said subsystems; a cloud platform, configured to receive fault data uploaded by said network management equipment corresponding to a faulty subsystem in a plurality of said subsystems; a fault diagnosis device, configured to obtain from said cloud platform the fault data, and perform fault diagnosis on the fault subsystem according to the fault data, output a fault diagnosis result, and output a fault solution corresponding to the fault diagnosis result.

According to the fault diagnosis system for rail transit according to the embodiment of the present invention, the fault data is obtained from the cloud platform through the fault diagnosis device, and the diagnosis of the fault subsystem is uniformly managed based on the cloud platform, and the fault subsystem is intelligentized according to the fault data Fault diagnosis, and output fault diagnosis results and fault solutions, avoiding the problem of waste of human resources and low efficiency caused by step-by-step query or direct use of expert database for each fault diagnosis, so as to facilitate maintenance personnel to carry out troubleshooting on communication equipment faults Accurately judge and give solutions to save human resources while improving efficiency.

In some embodiments, the fault diagnosis device includes: an equipment fault database for storing the fault data; a matching module for acquiring the fault data and matching the fault data from a preset knowledge base The fault index directory and the corresponding fault solution suggestion, correspondingly output the fault diagnosis result and the fault solution according to the matched fault index directory and the fault solution suggestion.

In some embodiments, the fault diagnosis device for a rail transit fault diagnosis system further includes: an intelligent question answering module, configured to receive a fault description keyword corresponding to the fault data input by a user, and according to the fault description The keywords are matched from the knowledge base to obtain corresponding fault diagnosis results and fault solutions.

In some embodiments, the fault diagnosis device for a rail transit fault diagnosis system further includes: an intelligent diagnosis module, configured to receive input fault description information corresponding to the fault data, and determine the fault according to the fault description information Diagnose the model, configure at least one checkpoint, and analyze at least one checkpoint to obtain the fault diagnosis result and fault solution, wherein the checkpoint includes telemetry value, alarm content and log script type.

In some embodiments, the intelligent diagnosis module is specifically used to: compare the telemetry value with the preset telemetry threshold value, compare the level of the alarm content with the size of the preset alarm level, and match the log script type with the Rule log script to determine the fault diagnosis result and fault solution.

In some embodiments, the fault diagnosis device further includes: an expert database management module, configured to send a diagnosis question order to an expert according to the fault data, and receive a diagnosis opinion and a reply from the expert on the diagnosis question order. A maintenance suggestion, and correspondingly generate the fault diagnosis result and fault solution according to the diagnosis opinion and the maintenance suggestion.

In some embodiments, the fault diagnosis device further includes: a risk model, configured to determine fault alarm rules according to the operation data of the network management equipment, the operation data including metadata and telemetry values generated by the operation of the network management equipment and alarm data.

In some embodiments, the knowledge base is also used to receive fault diagnosis results and fault solutions sent by the intelligent question answering module, intelligent diagnosis module and expert database management module for data update.

In some embodiments, the fault diagnosis system further includes: an asset management module connected to the fault diagnosis through the cloud platform, used to assist in receiving the fault data, and according to the fault The data is used for fault diagnosis of the faulty subsystem.

In order to achieve the above object, the embodiment of the second aspect of the present invention proposes a fault diagnosis method for rail transit, the method includes: the cloud platform receives the faulty subsystem uploaded by the network management device corresponding to the faulty subsystem in the multiple subsystems Fault data; the fault diagnosis device acquires the fault data from the cloud platform, and performs fault diagnosis on the fault subsystem according to the fault data, and outputs a fault diagnosis result, and outputs a fault corresponding to the fault diagnosis result solution.

According to the fault diagnosis method for rail transit according to the embodiment of the present invention, the fault data is obtained from the cloud platform through the fault diagnosis device, and the diagnosis of the fault subsystem is uniformly managed based on the cloud platform, and the fault subsystem is intelligently diagnosed according to the fault data Fault diagnosis, and output fault diagnosis results and fault solutions, avoiding the problem of waste of human resources and low efficiency caused by step-by-step query or direct use of expert database for each fault diagnosis, so as to facilitate maintenance personnel to carry out troubleshooting on communication equipment faults Accurately judge and give solutions to save human resources while improving efficiency.

In order to achieve the above object, the embodiment of the third aspect of the present invention proposes a non-transitory computer-readable storage medium, and the computer-readable storage medium stores fault diagnosis for rail transit, and the fault diagnosis for rail transit When the fault diagnosis program is executed by the processor, the fault diagnosis method for rail transit as described in the above embodiments is realized.

Additional aspects and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.

Description of drawings

The above and/or additional aspects and advantages of the present invention will become apparent and comprehensible from the description of the embodiments in conjunction with the following drawings, wherein:

Fig. 1 is a block diagram of a fault diagnosis system for rail transit according to an embodiment of the present invention;

Fig. 2 is a schematic diagram of a fault diagnosis system for rail transit according to a specific embodiment of the present invention;

Fig. 3 is a flow chart of a fault diagnosis method for an automatic ticket checking system according to an embodiment of the present invention;

Fig. 4 is a flowchart of a fault diagnosis method of an automatic ticket checking system according to an embodiment of the present invention;

Fig. 5 is a flowchart of a fault diagnosis method for an automatic ticket checking system according to an embodiment of the present invention;

Fig. 6 is a flow chart of the fault diagnosis process of the intelligent diagnosis module according to one embodiment of the present invention;

Fig. 7 is a flow chart of a fault diagnosis method for an automatic ticket checking system according to an embodiment of the present invention;

Fig. 8 is a flowchart of a fault diagnosis method for rail transit according to an embodiment of the present invention.

Detailed ways

Embodiments of the present invention are described in detail below, and the embodiments described with reference to the drawings are exemplary, and embodiments of the present invention are described in detail below.

The fault diagnosis system for rail transit according to the embodiment of the present invention will be described below.

Describe below in conjunction with Fig. 1 the fault diagnosis system for rail transit of the embodiment of the present invention, as shown in Figure 1, the fault diagnosis system 1 for rail transit of the embodiment of the present invention includes: network management equipment 10, cloud platform 11 and fault Diagnosis device 12, wherein, the network management equipment 10 is connected to multiple subsystems of the rail transit communication system to manage multiple subsystems; the cloud platform 11 is used to receive the fault corresponding to the faulty subsystem in the multiple subsystems uploaded by the network management equipment 10 Data; the fault diagnosis device 12 is used to obtain fault data from the cloud platform 11, perform fault diagnosis on the fault subsystem according to the fault data, output the fault diagnosis result, and output the fault solution corresponding to the fault diagnosis result. Among them, the cloud platform 11 includes a device management module and a device model management module. The device model management module is used to manage various fault diagnosis models of the communication system; the device management module is used to manage the devices of the subsystems involved in the communication system.

In the embodiment, as shown in FIG. 2 , it is a schematic diagram of a fault diagnosis system for rail transit according to a specific embodiment of the present invention. Network management equipment 10, such as CCTV network management, PIS network management, clock network management and transmission network management, etc., the above-mentioned network management equipment 10 obtains the fault information of corresponding subsystems, equipment, servers and networks in real time, and uploads the fault data of the acquired equipment to the cloud platform 11. The fault diagnosis device 12 obtains the fault data of the equipment from the cloud platform 11. The fault diagnosis device 12 uses the intelligent and Big data and other technical means analyze the fault data to carry out intelligent fault diagnosis on the fault that has occurred in the fault subsystem, and give a solution to the fault. It is understandable that the fault diagnosis results are used for the transmission subsystem , business telephone subsystem, wireless trunking subsystem, CCTV subsystem, PA subsystem, clock subsystem and PIS subsystem provide fault diagnosis results, and display the basic information of the fault, abnormal items and various inspection results, etc., thus, based on The fault diagnosis system 1 intelligently diagnoses the faults of the subsystems to form a fault diagnosis system connected with each subsystem, avoiding the problem of finding faults step by step when the network management device 10 fails, resulting in waste of resources. And based on the cloud platform 11, the fault data in the subsystem is transmitted to the fault diagnosis device 12, so as to uniformly manage the fault diagnosis of the subsystem, and accurately judge the faulty subsystem in the network management equipment 10 according to the fault data, and give A solution for fault diagnosis, which greatly improves the efficiency of fault diagnosis and saves human resources.

According to the fault diagnosis system 1 for rail transit according to the embodiment of the present invention, the fault data is obtained from the cloud platform 11 through the fault diagnosis device 12, and the diagnosis of the fault subsystem is uniformly managed based on the cloud platform 11, and the fault subsystem is diagnosed according to the fault data. Carry out intelligent fault diagnosis, and output fault diagnosis results and fault solutions, avoiding the problem of waste of human resources and low efficiency caused by step-by-step query or direct use of expert database for each fault diagnosis, so as to facilitate maintenance personnel to communicate Accurately judge equipment failures and provide solutions to save human resources while improving efficiency.

In some embodiments, as shown in FIG. 2 , the fault diagnosis device 12 includes: an equipment fault database 14 for storing fault data; Match the fault index catalog and the corresponding fault solution suggestions, and output the fault diagnosis results and solutions according to the matched fault index catalog and fault solution suggestions.

In the embodiment, after the PIS network manager receives the failure data of the failure subsystem such as the automatic ticket checking subsystem, it needs to query the failure of the automatic ticket checking subsystem, specifically, the equipment failure database 14 or the failure management module 13 through the cloud platform 11 Receive the fault data and store the fault data. The matching module retrieves the fault diagnosis results and fault diagnosis solutions corresponding to the fault data from the knowledge base 15 according to the acquired fault data. It can be understood that the knowledge base 15 It is preset in the fault diagnosis device 12, and based on the operation and maintenance knowledge base of each professional system and equipment, the common problem index catalog and solution recommendation are constructed, so that when the user encounters a problem, the fault self-service query can be performed, and the sub- System, physical model such as camera, fault name and solution are selected in turn to find the corresponding solution to realize fault diagnosis and resolution. Among them, the fault management module 13 saves the received fault data, and displays the overall fault data of the fault diagnosis system, including data such as fault level, fault code, fault content, fault processing status, and fault occurrence time. The equipment fault database 14 is connected with the network management equipment 10 through the cloud platform 11, and is used for receiving and storing data such as equipment maintenance data, failure data, maintenance records and log script types.

In other embodiments, the fault solution management module 21 records the resolved faults into the fault solution management module 21 of the knowledge base based on the knowledge base.

For example, taking the automatic ticket checking system as an example of the subsystem, the fault diagnosis process of the fault diagnosis system 1 will be exemplarily described. As shown in FIG. 3 , it shows a flowchart of a fault diagnosis method for an automatic ticket checking system according to an embodiment of the present invention. In an embodiment, the fault diagnosis process is mainly realized by knowledge base.

Step S20, when the automatic ticket vending machine fails, report the fault data of the automatic ticket vending machine subsystem through the cloud platform, including the telemetry value, alarm content and log script type, wherein the telemetry value includes the automatic operation status, service status, and equipment status of the automatic ticket vending machine. Fault status, connection status and other data.

In step S21, the fault diagnosis device acquires fault data of the automatic ticket vending machine, and stores the fault data of the ticket vending machine in the equipment fault database.

Step S22, match the fault index catalog and corresponding fault solutions from the preset knowledge base according to the acquired fault data, and output fault diagnosis results and fault solutions according to the matched fault index catalog and fault solution suggestions.

In some embodiments, as shown in FIG. 2 , the fault diagnosis device 12 further includes: an intelligent question-and-answer module 16, configured to receive the fault description keywords corresponding to the fault data input by the user, and select the fault description keywords from the knowledge base 15 according to the fault description keywords Match to get the corresponding fault diagnosis results and fault solutions.

In the embodiment, the process of fault diagnosis by the fault diagnosis system is streamlined. When performing fault diagnosis, the fault data can also be diagnosed through an intelligent question and answer module 16 such as an intelligent question and answer robot. The intelligent question and answer robot is based on various professional systems and The tool of the equipment operation and maintenance knowledge base receives keywords input by users, matches relevant documents in the knowledge base, and recommends the results to users for troubleshooting. Among them, the template and version standardization management of knowledge is carried out by setting up the knowledge base, and the editing and attention of documents are supported, so that the saved documents can support the advancement of fault diagnosis.

For example, as shown in FIG. 4 , it is a flowchart of a fault diagnosis method for an automatic ticket checking system according to another embodiment of the present invention. In an embodiment, the fault diagnosis process is mainly implemented by an intelligent question answering module.

Step S20, when the automatic ticket vending machine fails, report the fault data of the automatic ticket vending machine through the cloud platform, including telemetry value, alarm content and log script type, wherein the telemetry value includes the automatic operation state, service state, and equipment failure of the automatic ticket vending machine status, connection status and other data.

In step S21, the fault diagnosis device acquires fault data of the automatic ticket vending machine, and stores the fault data of the ticket vending machine in the equipment fault database.

Step S22, match the fault index catalog and the corresponding fault solution from the preset knowledge base according to the acquired fault data, but the fault diagnosis result and fault solution are not searched, at this time, execute step S23.

Step S23, receiving the fault description keywords corresponding to the fault data input by the user, and matching the corresponding fault diagnosis results and fault solutions from the knowledge base according to the fault description keywords.

In some embodiments, as shown in FIG. 2, the fault diagnosis device 12 further includes: an intelligent diagnosis module 17, configured to receive input fault description information corresponding to fault data, determine a fault diagnosis model according to the fault description information, and configure at least one A checkpoint is to analyze at least one checkpoint to obtain a fault diagnosis result and a fault solution, wherein the checkpoint includes a telemetry value, an alarm content, and a log script type. It can be understood that the fault diagnosis model is used to manage the diagnosis model of each device fault in the communication system.

In the embodiment, when the fault diagnosis is carried out by the intelligent diagnosis module 17, description information is added to the subsystem and the fault time, and the diagnosis is carried out according to the description information. Re-diagnose, and generate a report after the diagnosis is completed, so as to determine the fault diagnosis result and fault solution.

Specifically, the intelligent diagnosis module 17 is used as the basis for fault diagnosis, and creates models for telemetry values, alarm content, and log script types according to subsystems or object models, including the subsystem where the equipment is located, the object model it belongs to, fault codes, and checkpoints. and other information, checkpoints can be set according to the rules of telemetry values, alarm content, and log script types. By performing fault analysis on the set checkpoints, the fault diagnosis results are more comprehensive and accurate.

For example, as shown in FIG. 5 , it is a flowchart of a fault diagnosis method for an automatic ticket checking system according to another embodiment of the present invention. In the embodiment, the fault diagnosis process is mainly realized by the intelligent diagnosis module.

Step S20, when the automatic ticket vending machine fails, report the fault data of the automatic ticket vending machine through the cloud platform, including telemetry value, alarm content and log script type, wherein the telemetry value includes the automatic operation state, service state, and equipment failure of the automatic ticket vending machine status, connection status and other data.

In step S21, the fault diagnosis device acquires fault data of the automatic ticket vending machine, and stores the fault data of the ticket vending machine in the equipment fault database.

Step S22, match the fault index catalog and the corresponding fault solution from the preset knowledge base according to the acquired fault data, but the fault diagnosis result and fault solution are not searched, at this time, execute step S23.

Step S23: Receive the fault description keywords corresponding to the fault data input by the user, and obtain the corresponding fault diagnosis results and fault solutions from the knowledge base according to the fault description keywords, but the fault diagnosis results and fault solutions have not been searched , at this time, step S24 is performed.

Step S24, receiving and inputting fault description information corresponding to the fault data, determining a fault diagnosis model according to the fault description information, configuring at least one checkpoint, analyzing at least one checkpoint, and obtaining fault diagnosis results and fault solutions.

In some embodiments, as shown in FIG. 2 , the intelligent diagnosis module 17 is specifically used to: compare the size of the telemetry value with the preset telemetry threshold, compare the level of the alarm content with the size of the preset alarm level, and match the log script type and rule log scripts to determine fault diagnosis results and fault solutions.

In the embodiment, when the fault diagnosis is performed by the intelligent diagnosis module 17, the checkpoints set by the fault model are analyzed, such as comparing the size of the telemetry value and the preset threshold value, and analyzing fields such as the index and relationship of the telemetry value, And compare the level of the alarm content with the size of the preset alarm level, and match the log script type with the rule log script to determine the fault diagnosis result and fault solution.

Specifically, the fault diagnosis process of the intelligent diagnosis module of the embodiment of the present invention is described in conjunction with FIG. 6 , as shown in FIG. 6 , which is a flow chart of the fault diagnosis process of the intelligent diagnosis module of an embodiment of the present invention.

Step S11, inputting a fault description, which includes information such as subsystems, physical models, equipment, fault codes, and fault descriptions.

Step S12, fault model selection, diagnoses the determined faulty equipment, and sets the fault diagnosis time as a basis for fault diagnosis.

Step S13 , checkpoint setting, selects the corresponding equipment to be inspected in the equipment checkpoint rules according to the fault diagnosis model, and sets at least one checkpoint for the fault diagnosis model.

Step S14, fault diagnosis, performing fault analysis according to the checkpoints of the fault diagnosis model to determine the fault diagnosis result and fault solution.

Step S15, diagnosis result, after the fault diagnosis is completed, a report is generated according to the diagnosis result, displaying the fault information and the results of each check point.

Step S16, generate a report, the diagnosis result has identified the cause of the fault, a report can be generated to save the fault diagnosis result to the knowledge base for query.

Step S17, data source, including operation and maintenance knowledge base, telemetry value, log script type and alarm content. The operation and maintenance knowledge base provides knowledge retrieval for the two methods of solution retrieval and intelligent question answering, while expert diagnosis can add the diagnosis results to the knowledge base. Intelligent diagnosis can match the telemetry value, log, and alarm data with the checkpoints of the fault diagnosis template one by one, and obtain the fault diagnosis result.

In some embodiments, as shown in FIG. 2 , the fault diagnosis device 12 also includes: an expert library management module 18, which is used to send a diagnosis question order to an expert according to the fault data, and receive the expert's diagnosis opinion and reply to the diagnosis question order. Maintenance suggestions, and correspondingly generate fault diagnosis results and fault solutions based on diagnostic opinions and maintenance suggestions. Specifically, for difficult faults in maintenance, the user can issue a diagnostic question order to the expert, and the expert will diagnose the problem in the question order, and receive the diagnostic opinion and maintenance suggestion replied by the expert to the diagnostic question order, and according to the diagnosis Opinions and maintenance suggestions generate fault diagnosis results and fault solutions, so as to solve the faults efficiently and quickly, so as to ensure the safe, reliable and efficient operation of the communication system and subsystems.

For example, as shown in FIG. 7 , it is a flowchart of a fault diagnosis method for an automatic ticket checking system according to another embodiment of the present invention. In the embodiment, the fault diagnosis process is mainly implemented by the expert database management module.

Step S20, when the automatic ticket vending machine fails, report the fault data of the automatic ticket vending machine through the cloud platform, including telemetry value, alarm content and log script type, wherein the telemetry value includes the automatic operation state, service state, and equipment failure of the automatic ticket vending machine status, connection status and other data.

In step S21, the fault diagnosis device acquires fault data of the automatic ticket vending machine, and stores the fault data of the ticket vending machine in the equipment fault database.

Step S22, match the fault index catalog and the corresponding fault solution from the preset knowledge base according to the acquired fault data, but the fault diagnosis result and fault solution are not searched, at this time, execute step S23.

Step S23: Receive the fault description keywords corresponding to the fault data input by the user, and obtain the corresponding fault diagnosis results and fault solutions from the knowledge base according to the fault description keywords, but the fault diagnosis results and fault solutions have not been searched , at this time, step S24 is performed.

Step S24, receiving and inputting the fault description information corresponding to the fault data, determining the fault diagnosis model according to the fault description information, configuring at least one checkpoint, analyzing at least one checkpoint, and obtaining the fault diagnosis result and fault solution, but not Search out the fault diagnosis result and fault solution, at this time, execute step S25.

Step S25: Send a diagnostic inquiry order to the expert according to the fault data, receive diagnostic opinions and maintenance suggestions from the experts in response to the diagnostic inquiry order, and generate fault diagnosis results and fault solutions correspondingly according to the diagnostic opinions and maintenance suggestions.

In some embodiments, as shown in FIG. 2 , the fault diagnosis device 12 further includes: a risk model 19, configured to determine a fault alarm rule according to the operation data of the network management device 10, the operation data including metadata generated by the operation of the network management device 10, Telemetry and alarm data. Specifically, the risk model 19 determines fault alarm rules according to the metadata, telemetry values and alarm data generated by the operation of the network management equipment. In other words, when one or more alarms of the network management equipment 10 occur multiple times within a certain time range, for example, If the threshold is set, the alarm is regarded as a possible fault source.

In some embodiments, as shown in FIG. 2 , knowledge base 15 is also used to receive fault diagnosis results and fault solutions sent by intelligent question answering module 16 , intelligent diagnosis module 17 and expert database management module 18 for data update. Specifically, in order to improve the knowledge base, after the operation and maintenance personnel or experts determine the fault diagnosis results and fault solutions of the subsystem, they can enter the fault diagnosis results and fault solutions into the knowledge base, so that when similar faults occur in the future, they can be retrieved from the The corresponding fault diagnosis results and fault solutions are searched in the knowledge base to enrich the fault diagnosis and facilitate subsequent knowledge base retrieval.

In some embodiments, as shown in FIG. 2, the fault diagnosis system 1 further includes: an asset management module 20, which is connected to the fault diagnosis device 12 through the cloud platform 11, and is used to assist in receiving fault data, and according to the fault The data is used for fault diagnosis of faulty subsystems.

In an embodiment, the asset management module 20 can assist in obtaining data such as fault data, repair and maintenance, and work orders, so as to make the obtained repair and maintenance data and fault data more comprehensive. In the asset management module, the equipment fault repair function related to communication assets, Data will be updated synchronously in the equipment fault database of the asset management module, such as fault codes and processing status.

In some other embodiments, as shown in FIG. 2 , the fault diagnosis device 12 further includes a work order management module 21, and the work order management module 21 is configured to manage work orders generated by communication system failures.

According to the fault diagnosis system 1 for rail transit according to the embodiment of the present invention, the fault data is obtained from the cloud platform 11 through the fault diagnosis device 12, and the diagnosis of the fault subsystem is uniformly managed based on the cloud platform 11, and the fault subsystem is diagnosed according to the fault data. Carry out intelligent fault diagnosis, and output fault diagnosis results and fault solutions, avoiding the problem of waste of human resources and low efficiency caused by step-by-step query or direct use of expert database for each fault diagnosis, so as to facilitate maintenance personnel to communicate Accurately judge equipment failures and provide solutions to save human resources while improving efficiency.

The fault diagnosis method for rail transit according to the embodiment of the present invention will be described below.

As shown in Figure 8, the fault diagnosis method for rail transit in the embodiment of the present invention includes: the cloud platform receives the fault data corresponding to the faulty subsystem in the multiple subsystems uploaded by the network management equipment; The cloud platform acquires the fault data, performs fault diagnosis on the fault subsystem according to the fault data, and outputs a fault diagnosis result and a fault solution corresponding to the fault diagnosis result.

According to the fault diagnosis method for rail transit according to the embodiment of the present invention, the fault data is obtained from the cloud platform through the fault diagnosis device, and the diagnosis of the fault subsystem is uniformly managed based on the cloud platform, and the fault subsystem is intelligently diagnosed according to the fault data Fault diagnosis, and output fault diagnosis results and fault solutions, avoiding the problem of waste of human resources and low efficiency caused by step-by-step query or direct use of expert database for each fault diagnosis, so as to facilitate maintenance personnel to carry out troubleshooting on communication equipment faults Accurately judge and give solutions to save human resources while improving efficiency.

The embodiment of the present invention proposes a non-transitory computer-readable storage medium. The computer-readable storage medium stores fault diagnosis for rail transit. When the fault diagnosis program for rail transit is executed by a processor, the above-mentioned embodiment is implemented. Fault diagnosis method for rail transit.

In the description of this specification, references to the terms "one embodiment," "some embodiments," "exemplary embodiments," "example," "specific examples," or "some examples" are intended to mean that the implementation A specific feature, structure, material, or characteristic described by an embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example.

Although the embodiments of the present invention have been shown and described, those skilled in the art can understand that various changes, modifications, substitutions and modifications can be made to these embodiments without departing from the principle and spirit of the present invention. The scope of the invention is defined by the claims and their equivalents.

Claims (11)

1. A fault diagnosis system for rail transit, comprising:

the network management equipment is connected with a plurality of subsystems of the rail transit communication system so as to manage the subsystems;

the cloud platform is used for receiving fault data which are uploaded by the network management equipment and correspond to a fault subsystem with a fault in the subsystems;

and the fault diagnosis device is used for acquiring the fault data from the cloud platform, performing fault diagnosis on the fault subsystem according to the fault data, outputting a fault diagnosis result and outputting a fault solution corresponding to the fault diagnosis result.

2. The fault diagnosis system for rail transit according to claim 1, wherein the fault diagnosis device comprises:

an equipment failure database for storing the failure data;

and the matching module is used for acquiring the fault data, matching a fault index directory and a corresponding fault solution suggestion from a preset knowledge base according to the fault data, and correspondingly outputting the fault diagnosis result and the fault solution according to the matched fault index directory and the matched fault solution suggestion.

3. The fault diagnosis system for rail transit according to claim 2, characterized in that the fault diagnosis device further comprises:

and the intelligent question-answering module is used for receiving fault description keywords which are input by a user and correspond to the fault data, and obtaining corresponding fault diagnosis results and fault solutions by matching from the knowledge base according to the fault description keywords.

4. The fault diagnosis system for rail transit according to claim 3, wherein the fault diagnosis device further comprises:

and the intelligent diagnosis module is used for receiving input fault description information corresponding to the fault data, determining a fault diagnosis model according to the fault description information, configuring at least one check point, and analyzing the at least one check point to obtain a fault diagnosis result and a fault solution, wherein the check point comprises a remote measurement value, alarm content and a log script type.

5. The fault diagnosis system for rail transit according to claim 4, wherein the intelligent diagnosis module is specifically configured to:

and comparing the remote measurement value with a preset remote measurement threshold value, comparing the level of the alarm content with the preset alarm level, and matching the type of the log script with the rule log script to determine the fault diagnosis result and the fault solution.

6. The fault diagnosis system for rail transit according to claim 4 or 5, characterized in that the fault diagnosis device further comprises:

and the expert base management module is used for sending a diagnosis question order to an expert according to the fault data, receiving a diagnosis suggestion and a maintenance suggestion which are replied by the expert aiming at the diagnosis question order, and correspondingly generating the fault diagnosis result and the fault solution according to the diagnosis suggestion and the maintenance suggestion.

7. The fault diagnosis system for rail transit according to claim 1, characterized in that the fault diagnosis device further comprises:

and the risk model is used for determining a fault alarm rule according to the operation data of the network management equipment, wherein the operation data comprises metadata, a remote measurement value and alarm data generated by the operation of the network management equipment.

8. The fault diagnosis system for rail transit according to claim 6, wherein the knowledge base is further configured to receive fault diagnosis results and fault solutions sent by the intelligent question and answer module, the intelligent diagnosis module and the expert database management module for data updating.

9. The fault diagnosis system for rail transit according to claim 1, characterized in that the fault diagnosis system further comprises:

and the asset management module is connected with the fault diagnosis device through the cloud platform and is used for assisting in receiving the fault data and carrying out fault diagnosis on the fault subsystem according to the fault data.

10. A fault diagnosis method for rail transit, characterized by comprising:

the cloud platform receives fault data which are uploaded by the network management equipment and correspond to a fault subsystem with a fault in the subsystems;

and the fault diagnosis device acquires the fault data from the cloud platform, performs fault diagnosis on the fault subsystem according to the fault data, outputs a fault diagnosis result and outputs a fault solution corresponding to the fault diagnosis result.

11. A non-transitory computer-readable storage medium, on which fault diagnosis for rail transit is stored, the fault diagnosis program for rail transit implementing the fault diagnosis method for rail transit according to claim 10 when executed by a processor.

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