CN115903720A - Fault diagnosis system and method for rail transit, and storage medium - Google Patents
Fault diagnosis system and method for rail transit, and storage medium Download PDFInfo
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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
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a fault diagnosis system and method for rail transit, and a storage medium.
Background
The communication system is a network platform for rail transit operation command, enterprise management, public safety management and passenger service, is also a nervous system for normal operation of rail transit, and provides basic guarantee for rapidness, safety and punctuality in the running process of trains. The communication System comprises a plurality of subsystems such as a transmission System, a Public service telephone System, a special telephone System, a wireless trunking communication System, a CCTV (Closed-Circuit Television monitoring System), a PA (Public Address, cable broadcasting System), a clock System, a PIS (Passenger Information System) and the like, and the communication System is required to ensure safe and efficient operation of a train under normal conditions, provide high-quality service guarantee for Passenger travel and quickly convert into a command communication System for disaster prevention and rescue and accident handling under abnormal conditions.
With the continuous rise of urban rail transit passenger flow, the requirement for fault-free operation of communication systems and devices is higher and higher, and the communication system maintenance management department needs to evaluate the health degree of the devices and the operation states of the systems.
However, when the health degree of the equipment and the operation state of the system are evaluated through the network management system, each system is dispersed and independent, a fault diagnosis platform connected with each system cannot be formed, and when fault diagnosis is performed, a fault needs to be inquired step by step, so that the efficiency is low, and human resources are easily wasted.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art.
Therefore, an object of the present invention is to provide a fault diagnosis system for rail transit, which obtains fault data from a cloud platform through a fault diagnosis device, performs unified management on diagnosis of a fault subsystem based on the cloud platform, performs intelligent fault diagnosis on the fault subsystem according to the fault data, and outputs a fault diagnosis result and a fault solution, thereby avoiding problems of waste of human resources and low efficiency caused by step-by-step query or direct use of an expert database in each fault diagnosis, facilitating maintenance personnel to accurately judge a fault of a communication device and provide a solution, and saving human resources while improving efficiency.
To this end, a second object of the invention is to propose a fault diagnosis method for rail transit.
To this end, a third object of the invention is to propose a computer-readable storage medium.
In order to achieve the above object, an embodiment of a first aspect of the present invention proposes a fault diagnosis system for rail transit, the system including: 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.
According to the fault diagnosis system for the rail transit, provided by the embodiment of the invention, the fault data are acquired from the cloud platform through the fault diagnosis device, the diagnosis of the fault subsystem is uniformly managed based on the cloud platform, the fault subsystem is intelligently diagnosed according to the fault data, and the fault diagnosis result and the fault solution are output, so that the problems of waste of human resources and low efficiency caused by step-by-step inquiry or direct use of an expert database in each fault diagnosis are avoided, and therefore, a maintenance worker can accurately judge the fault of the communication equipment and provide the solution, and the human resources are saved while the efficiency is improved.
In some embodiments, the fault diagnosis apparatus includes: an equipment fault database for storing the fault 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.
In some embodiments, the fault diagnosis device, the fault diagnosis system for rail transit 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.
In some embodiments, the fault diagnosis apparatus, the fault diagnosis system for rail transit, further includes: 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.
In some embodiments, the intelligent diagnostic 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.
In some embodiments, the fault diagnosis apparatus further includes: 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.
In some embodiments, the fault diagnosis apparatus further includes: 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.
In some embodiments, the knowledge base is further used for receiving the fault diagnosis result and the fault solution sent by the intelligent question and answer module, the intelligent diagnosis module and the expert database management module so as to update data.
In some embodiments, the fault diagnosis system further comprises: and the asset management module is connected with the fault diagnosis 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.
To achieve the above object, an embodiment of a second aspect of the present invention proposes a fault diagnosis method for rail transit, the method including: 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.
According to the fault diagnosis method for the rail transit, provided by the embodiment of the invention, the fault data is obtained from the cloud platform through the fault diagnosis device, the diagnosis of the fault subsystem is uniformly managed based on the cloud platform, the fault subsystem is intelligently diagnosed according to the fault data, and the fault diagnosis result and the fault solution are output, so that the problems of waste of human resources and low efficiency caused by step-by-step inquiry or direct use of an expert database in each fault diagnosis are avoided, so that maintenance personnel can accurately judge the fault of the communication equipment and provide the solution, and the human resources are saved while the efficiency is improved.
To achieve the above object, an embodiment of a third aspect of the present invention proposes a non-transitory computer-readable storage medium having stored thereon a fault diagnosis program for rail transit, which when executed by a processor implements the fault diagnosis method for rail transit as described in the above embodiment.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block diagram of a fault diagnosis system for rail traffic according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a fault diagnosis system for rail traffic according to a specific embodiment of the present invention;
FIG. 3 is a flow chart of a method of fault diagnosis for an automated ticketing system in accordance with one embodiment of the present invention;
FIG. 4 is a flow chart of a method of fault diagnosis for an automated ticketing system in accordance with one embodiment of the present invention;
FIG. 5 is a flow chart of a method of fault diagnosis for an automated ticketing system in accordance with one embodiment of the present invention;
FIG. 6 is a flow diagram of a fault diagnosis process of a smart diagnostic module according to one embodiment of the present invention;
FIG. 7 is a flow chart of a method of fault diagnosis for an automated ticketing system in accordance with one 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 Description
Embodiments of the present invention will be described in detail below, the embodiments described with reference to the drawings being illustrative, and the embodiments of the present invention will be described in detail below.
The following describes a fault diagnosis system for rail transit according to an embodiment of the present invention.
A fault diagnosis system for rail transit according to an embodiment of the present invention is described below with reference to fig. 1, and as shown in fig. 1, the fault diagnosis system 1 for rail transit according to an embodiment of the present invention includes: the system comprises network management equipment 10, a cloud platform 11 and a fault diagnosis device 12, wherein the network management equipment 10 is connected with a plurality of subsystems of a rail transit communication system so as to manage the subsystems; the cloud platform 11 is configured to receive fault data, which is uploaded by the network management device 10 and corresponds to a faulty subsystem in the plurality of subsystems, where a fault occurs; the fault diagnosis device 12 is configured to obtain fault data from the cloud platform 11, 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. The cloud platform 11 includes an equipment management module and an equipment model management module, and the equipment model management module is used for managing each fault diagnosis model of the communication system; the device management module is used for managing devices of subsystems involved in the communication system.
In an embodiment, as shown in fig. 2, a schematic diagram of a fault diagnosis system for rail transit according to a specific embodiment of the present invention is shown. Network management equipment 10 such as CCTV network management, PIS network management, clock network management, transmission network management, etc., the network management equipment 10 acquires fault information of a subsystem, equipment, a server, a network, etc. corresponding to the network management equipment 10 in real time, and uploads fault data of the acquired equipment to a cloud platform 11, a fault diagnosis device 12 acquires fault data of the equipment from the cloud platform 11, the fault diagnosis device 12 analyzes the fault data by adopting technical means such as intellectualization and big data, etc. through an equipment fault model library 14, an intelligent question-answer module 16 and an equipment risk model 19 which are preset in a fault diagnosis system 1, so as to carry out intelligent fault diagnosis on a fault which has occurred in a faulty subsystem, and give a solution about the fault, it can be understood that, the fault diagnosis result is used for providing fault diagnosis results for the transmission subsystem, the public service telephone subsystem, the wireless cluster subsystem, the CCTV subsystem, the PA subsystem, the clock subsystem and the PIS subsystem, and displaying basic information, abnormal items, various inspection results and the like of the fault, so that the fault diagnosis system 1 is used for intelligently diagnosing the fault of the subsystem to form the fault diagnosis system connected with each subsystem, the problem that the fault is searched step by step when the network management equipment 10 is in fault and the resource waste is caused is avoided, the fault data in the subsystem is transmitted to the fault diagnosis device 12 based on the cloud platform 11 to uniformly manage the fault diagnosis of the subsystem, the subsystem with the fault in the network management equipment 10 is accurately judged according to the fault data, and a solution of the fault diagnosis is given, so that the fault diagnosis efficiency is greatly improved, and the human resources are saved.
According to the fault diagnosis system 1 for rail transit, provided by the embodiment of the invention, fault data are obtained from the cloud platform 11 through the fault diagnosis device 12, diagnosis of the fault subsystem is uniformly managed on the basis of the cloud platform 11, intelligent fault diagnosis is carried out on the fault subsystem according to the fault data, and a fault diagnosis result and a fault solution are output, so that the problems of waste of human resources and low efficiency caused by step-by-step inquiry or direct use of an expert database in each fault diagnosis are avoided, maintenance personnel can conveniently and accurately judge faults of communication equipment and provide a solution, and the human resources are saved while the efficiency is improved.
In some embodiments, as shown in fig. 2, the fault diagnosis device 12 includes: an equipment failure database 14 for storing failure data; and the matching module is used for acquiring fault data, matching the fault index directory and the corresponding fault solution suggestions from the preset knowledge base 15 according to the fault data, and correspondingly outputting fault diagnosis results and solutions according to the matched fault index directory and the matched fault solution suggestions.
In the embodiment, after receiving fault data of a fault subsystem, such as an automatic ticket checking subsystem, a PIS network manager needs to query faults occurring in the automatic ticket checking subsystem, specifically, an equipment fault database 14 or a fault management module 13 receives the fault data through a cloud platform 11 and stores the fault data, a matching module retrieves fault diagnosis results and fault diagnosis solutions corresponding to the fault data from a knowledge base 15 according to the obtained fault data, it can be understood that the knowledge base 15 is preset in a fault diagnosis device 12, and a common problem index directory and solution recommendation are constructed based on operation and maintenance knowledge bases of professional systems and equipment, so that a user performs fault self-service query when encountering a problem, and corresponding solutions are searched by sequentially selecting a subsystem, a physical model, such as a camera, a fault name and a solution in sequence, so as to implement fault diagnosis and solution. The fault management module 13 stores the received fault data, and displays the total fault data of the fault diagnosis system, including data such as fault level, fault code, fault content, fault processing status, and time of occurrence of fault. The device failure database 14 is connected to the network management device 10 through the cloud platform 11, and is configured to receive and store data of the device, such as maintenance data, failure data, maintenance records, and log script types.
In other embodiments, the fault solution management module 21 logs the resolved fault to the fault solution management module 21 of the knowledge base based on the knowledge base.
For example, a subsystem is taken as an automatic ticket checking system as an example, and a fault diagnosis process of the fault diagnosis system 1 is exemplarily described. Fig. 3 is a flow chart showing a fault diagnosis method of the automatic ticket checking system according to an embodiment of the present invention. In an embodiment, the fault diagnosis process is implemented primarily by means of a knowledge base.
And step S20, when the ticket vending machine breaks down, reporting fault data of a ticket vending machine subsystem through the cloud platform, wherein the fault data comprises a remote measuring value, alarm content and a log script type, and the remote measuring value comprises data of an automatic operation state, a service state, an equipment fault state, a connection state and the like of the ticket vending machine.
And 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 into an equipment fault database.
And S22, matching the fault index directory and the corresponding fault solution from a preset knowledge base according to the acquired fault data, and correspondingly outputting a fault diagnosis result and a fault solution according to the matched fault index directory and fault solution suggestions.
In some embodiments, as shown in fig. 2, the fault diagnosing apparatus 12 further includes: and the intelligent question-answering module 16 is used for receiving fault description keywords corresponding to the fault data and input by a user, and obtaining a corresponding fault diagnosis result and a corresponding fault solution from the knowledge base 15 according to the matching of the fault description keywords.
In the embodiment, the fault diagnosis process of the fault diagnosis system is a process, and during fault diagnosis, fault data can be diagnosed through an intelligent question and answer module 16, such as an intelligent question and answer robot, which is a tool based on each professional system and an equipment operation and maintenance knowledge base, and by receiving keywords input by a user, relevant documents are matched in the knowledge base, and results are recommended to the user for troubleshooting. The knowledge is subjected to template and version standardized management by setting the knowledge base, and document editing and attention are supported, so that saved document data can support the promotion of fault diagnosis.
For example, as shown in fig. 4, it is a flowchart of a fault diagnosis method of an automatic ticket checking system according to another embodiment of the present invention. In an embodiment, the fault diagnosis process is mainly realized by means of an intelligent question and answer module.
And step S20, when the ticket vending machine breaks down, reporting fault data of the ticket vending machine through the cloud platform, wherein the fault data comprises remote measuring values, alarm contents and log script types, and the remote measuring values comprise data of an automatic operation state, a service state, an equipment fault state, a connection state and the like of the ticket vending machine.
And 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 into an equipment fault database.
Step S22, matching the fault index directory and the corresponding fault solution from the preset knowledge base according to the acquired fault data, but not searching the fault diagnosis result and the fault solution, at this time, executing step S23.
And step S23, receiving fault description keywords corresponding to fault data input by a user, and matching from a knowledge base according to the fault description keywords to obtain a corresponding fault diagnosis result and a corresponding fault solution.
In some embodiments, as shown in fig. 2, the fault diagnosis device 12 further includes: the intelligent diagnosis module 17 is configured to receive input fault description information corresponding to fault data, determine a fault diagnosis model according to the fault description information, configure at least one check point, and analyze the at least one check point to obtain a fault diagnosis result and a fault solution, where the check point includes a remote measurement value, alarm content, and a log script type. It will be appreciated that the fault diagnosis model is a diagnostic model for managing faults of individual devices in the communication system.
In the embodiment, when the intelligent diagnosis module 17 is used for fault diagnosis, description information is added to the subsystem and the fault time, diagnosis is performed according to the description information, if the diagnosis result is not comprehensive enough, the fault description information can be changed, for example, the fault time is changed for re-diagnosis, and a report can be generated after the diagnosis is completed, so that the fault diagnosis result and the fault solution are determined.
Specifically, the intelligent diagnosis module 17 is used as a basis for fault diagnosis, and performs model creation on a remote measurement value, alarm content, and a log script type according to a subsystem or an object model, where the remote measurement value, the alarm content, and the log script type include information such as a subsystem where the device is located, an object model where the device belongs, a fault code, and a check point, where the check point can be set according to rules of the remote measurement value, the alarm content, and the log script type, and a fault diagnosis result is more comprehensive and accurate by performing fault analysis on the set check point.
For example, as shown in fig. 5, it is a flowchart of a fault diagnosis method of an automatic ticket checking system according to another embodiment of the present invention. In an embodiment, the fault diagnosis process is mainly realized by means of an intelligent diagnosis module.
And step S20, when the ticket vending machine breaks down, reporting fault data of the ticket vending machine through the cloud platform, wherein the fault data comprises a remote measuring value, alarm content and a log script type, and the remote measuring value comprises data of an automatic operation state, a service state, an equipment fault state, a connection state and the like of the ticket vending machine.
And 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 into an equipment fault database.
Step S22, matching the fault index directory and the corresponding fault solution from the preset knowledge base according to the acquired fault data, but not searching the fault diagnosis result and the fault solution, at this time, executing step S23.
And step S23, receiving a fault description keyword which is input by a user and corresponds to fault data, matching the fault description keyword from a knowledge base to obtain a corresponding fault diagnosis result and a corresponding fault solution according to the fault description keyword, wherein the fault diagnosis result and the fault solution are not searched, and executing step S24.
And S24, receiving and inputting fault description information corresponding to 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.
In some embodiments, as shown in fig. 2, the intelligent diagnostic module 17 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 regular log script to determine a fault diagnosis result and a fault solution.
In the embodiment, when the intelligent diagnosis module 17 performs fault diagnosis, the check point set by the fault model is analyzed, for example, the magnitude of the remote measurement value and the preset threshold value is compared, and the fields such as the index and the relationship of the remote measurement value are analyzed, and the level of the alarm content and the magnitude of the preset alarm level are compared, and the type of the log script and the rule log script are matched to determine the fault diagnosis result and the fault solution.
Specifically, a fault diagnosis process of the intelligent diagnosis module according to an embodiment of the present invention is described with reference to fig. 6, and as shown in fig. 6, a flowchart of the fault diagnosis process of the intelligent diagnosis module according to an embodiment of the present invention is shown.
And S11, inputting fault description, wherein the fault description comprises information such as subsystems, object models, equipment, fault codes, fault description and the like.
And S12, selecting a fault model, diagnosing the determined fault equipment, and setting the fault diagnosis time as a basis for fault diagnosis.
And S13, setting a check point, namely selecting equipment which is correspondingly required to be checked in the equipment check point rule according to the fault diagnosis model, and setting at least one check point for the fault diagnosis model.
And S14, fault diagnosis, namely performing fault analysis according to the check points of the fault diagnosis model to determine a fault diagnosis result and a fault solution.
And S15, diagnosing results, generating reports according to the diagnosis results after the fault diagnosis is finished, and displaying fault information and results of all check points.
And step S16, generating a report, wherein the diagnosis result already defines the fault reason, and the report can be generated and stored in a knowledge base for inquiry.
And S17, data sources comprise an operation and maintenance knowledge base, a remote measurement value, a log script type and alarm content. The operation and maintenance knowledge base provides knowledge retrieval for the solution retrieval method and the intelligent question and answer method, and the expert diagnosis can add the diagnosis result into the knowledge base. The intelligent diagnosis can correspond the remote measurement value, the log, the alarm data and the check point of the fault diagnosis template one by one to obtain a fault diagnosis result.
In some embodiments, as shown in fig. 2, the fault diagnosis apparatus 12 further includes: and the expert database management module 18 is used for sending a diagnosis question order to the 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 a fault diagnosis result and a fault solution according to the diagnosis suggestion and the maintenance suggestion. Specifically, for the problem of difficult and complicated faults in maintenance, a user can send a diagnosis question order to an expert, the expert diagnoses the problems in the question order, receives diagnosis suggestions and maintenance suggestions replied by the expert aiming at the diagnosis question order, and generates a fault diagnosis result and a fault solution according to the diagnosis suggestions and the maintenance suggestions, so that the faults are solved efficiently and quickly, and the safe, reliable and efficient operation of a communication system and a subsystem is guaranteed.
For example, as shown in fig. 7, it is a flowchart of a fault diagnosis method of an automatic ticket checking system according to another embodiment of the present invention. In an embodiment, the fault diagnosis process is mainly realized by means of an expert library management module.
And step S20, when the ticket vending machine breaks down, reporting fault data of the ticket vending machine through the cloud platform, wherein the fault data comprises remote measuring values, alarm contents and log script types, and the remote measuring values comprise data of an automatic operation state, a service state, an equipment fault state, a connection state and the like of the ticket vending machine.
And 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 into an equipment fault database.
Step S22, matching the fault index directory and the corresponding fault solution from the preset knowledge base according to the acquired fault data, but not searching the fault diagnosis result and the fault solution, at this time, executing step S23.
And step S23, receiving a fault description keyword which is input by a user and corresponds to fault data, matching the fault description keyword from a knowledge base to obtain a corresponding fault diagnosis result and a corresponding fault solution according to the fault description keyword, wherein the fault diagnosis result and the fault solution are not searched, and executing step S24.
Step S24, receiving input fault description information corresponding to fault data, determining a fault diagnosis model according to the fault description information, configuring at least one check point, analyzing the at least one check point to obtain a fault diagnosis result and a fault solution, but not searching the fault diagnosis result and the fault solution, and executing step S25.
And S25, sending a diagnosis question order to the expert according to the fault data, receiving a diagnosis suggestion and a maintenance suggestion replied by the expert aiming at the diagnosis question order, and correspondingly generating a fault diagnosis result and a fault solution according to the diagnosis suggestion and the maintenance suggestion.
In some embodiments, as shown in fig. 2, the fault diagnosis apparatus 12 further includes: and the risk model 19 is used for determining a fault alarm rule according to the operation data of the network management equipment 10, wherein the operation data comprises metadata, a remote measurement value and alarm data generated by the operation of the network management equipment 10. Specifically, the risk model 19 determines a fault alarm rule according to metadata, a telemetry value and alarm data generated by the operation of the network management device, in other words, when one or more alarms of the network management device 10 occur multiple times within a certain time range, for example, the alarm times are greater than a set threshold value, the alarm is used as a possible fault source.
In some embodiments, as shown in fig. 2, the knowledge base 15 is further configured to receive the fault diagnosis result and the fault solution sent by the intelligent question and answer module 16, the intelligent diagnosis module 17, and the expert database management module 18 for data update. Specifically, in order to perfect the knowledge base, after the operation and maintenance personnel or experts determine the fault diagnosis result and the fault solution of the subsystem, the fault diagnosis result and the fault solution can be recorded into the knowledge base, so that when similar faults occur subsequently, the corresponding fault diagnosis result and the corresponding fault solution can be searched from the knowledge base, thereby enriching fault diagnosis and facilitating the retrieval of the subsequent knowledge base.
In some embodiments, as shown in fig. 2, the fault diagnosis system 1 further includes: and the asset management module 20 is connected with the fault diagnosis device 12 through the cloud platform 11, and is used for assisting in receiving fault data and performing fault diagnosis on a fault subsystem according to the fault data.
In an embodiment, the asset management module 20 may assist in acquiring data such as fault data, repair maintenance, work orders, etc. to make the acquired repair maintenance data and fault data more comprehensive, and the equipment fault repair function related to the communication asset in the asset management module will update data such as fault codes and processing status, etc. synchronously in the equipment fault database of the asset management module.
In other embodiments, as shown in fig. 2, the fault diagnosis apparatus 12 further includes a work order management module 21, and the work order management module 21 is configured to manage a work order generated by a fault of the communication system.
According to the fault diagnosis system 1 for rail transit, provided by the embodiment of the invention, fault data are acquired from the cloud platform 11 through the fault diagnosis device 12, diagnosis of the fault subsystem is uniformly managed based on the cloud platform 11, the fault subsystem is intelligently diagnosed according to the fault data, and a fault diagnosis result and a fault solution are output, so that the problems of human resource waste and low efficiency caused by step-by-step inquiry or direct use of an expert database in each fault diagnosis are avoided, and thus, maintenance personnel can accurately judge the fault of the communication equipment and provide a solution, and the human resource is saved while the efficiency is improved.
The following describes a fault diagnosis method for rail transit of an embodiment of the present invention.
As shown in fig. 8, the fault diagnosis method for rail transit according to the embodiment of the present invention includes: 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.
According to the fault diagnosis method for the rail transit, provided by the embodiment of the invention, the fault data are acquired from the cloud platform through the fault diagnosis device, the diagnosis of the fault subsystem is uniformly managed based on the cloud platform, the fault subsystem is intelligently diagnosed according to the fault data, and the fault diagnosis result and the fault solution are output, so that the problems of waste of human resources and low efficiency caused by step-by-step inquiry or direct use of an expert database in each fault diagnosis are avoided, and therefore, a maintenance worker can accurately judge the fault of the communication equipment and provide the solution, and the human resources are saved while the efficiency is improved.
An embodiment of the present invention provides a non-transitory computer-readable storage medium, on which fault diagnosis for rail transit is stored, and when being executed by a processor, the fault diagnosis program for rail transit implements the fault diagnosis method for rail transit according to the above embodiment.
In the description of the present specification, reference to the description of "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which 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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| CN117035747A (en) * | 2023-10-09 | 2023-11-10 | 国网山东省电力公司博兴县供电公司 | Multi-system fault diagnosis processing method, system, equipment and medium for machine room |
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| CN117035747A (en) * | 2023-10-09 | 2023-11-10 | 国网山东省电力公司博兴县供电公司 | Multi-system fault diagnosis processing method, system, equipment and medium for machine room |
| CN117035747B (en) * | 2023-10-09 | 2024-02-02 | 国网山东省电力公司博兴县供电公司 | Multi-system fault diagnosis processing method, system, equipment and medium for machine room |
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