CN115320682A - On-site problem rapid analysis method and device applied to rail transit - Google Patents
On-site problem rapid analysis method and device applied to rail transit Download PDFInfo
- Publication number
- CN115320682A CN115320682A CN202210927924.0A CN202210927924A CN115320682A CN 115320682 A CN115320682 A CN 115320682A CN 202210927924 A CN202210927924 A CN 202210927924A CN 115320682 A CN115320682 A CN 115320682A
- Authority
- CN
- China
- Prior art keywords
- analysis
- fault
- log
- current
- subsystems
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 121
- 238000000034 method Methods 0.000 claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 230000004044 response Effects 0.000 claims abstract description 5
- 230000002159 abnormal effect Effects 0.000 claims description 13
- 238000004891 communication Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 8
- 238000012423 maintenance Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 3
- 230000002035 prolonged effect Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 5
- 230000008569 process Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000003287 optical effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000013024 troubleshooting Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/50—Trackside diagnosis or maintenance, e.g. software upgrades
- B61L27/53—Trackside diagnosis or maintenance, e.g. software upgrades for trackside elements or systems, e.g. trackside supervision of trackside control system conditions
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Mechanical Engineering (AREA)
- Debugging And Monitoring (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
The invention provides a method and a device for rapidly analyzing field problems applied to rail transit, belonging to the field of rail transit control, wherein the method comprises the following steps: monitoring fault codes sent by subsystems in a signal system according to a preset time interval; in response to receiving a current fault code sent by one or more subsystems in a signal system, intercepting a problem log corresponding to the current fault code from a preset path; writing the current fault code and the intercepted problem log into a fault storage area of a problem analysis system; and inquiring the fault analysis area of the problem analysis system, and outputting a corresponding analysis conclusion according to an inquiry result. In this way, the log of the current fault can be autonomously positioned, a preliminary analysis conclusion can be obtained, the difficulty that personnel repeatedly reproduce a problem scene is reduced, and the debugging time is prolonged.
Description
Technical Field
Embodiments of the present disclosure relate generally to the field of rail transit technology, and more particularly, to a method and an apparatus for rapidly analyzing a field problem applied to rail transit.
Background
With the development of the rail transit technology, the current rail transit field generally faces various problems such as short opening time, long debugging period, multiple debugging specialties and the like, the problem is solved as a large component of debugging, the problem needs to be solved after the problem is found in the debugging process, and field personnel cannot deal with the problems timely and the like, so that the scene needs to be reappeared, the situation that the scene cannot reappear or the problem log is intercepted and not clearly occurs often, the problem log needs to be reappeared repeatedly, the problem log is intercepted repeatedly, and the problem solving period is longer.
Disclosure of Invention
According to the embodiment of the disclosure, a method and a device for rapidly analyzing field problems applied to rail transit are provided.
In a first aspect of the present disclosure, a method for rapidly analyzing a field problem applied to rail transit is provided, including:
monitoring fault codes sent by subsystems in a signal system according to a preset time interval;
in response to receiving a current fault code sent by one or more subsystems in a signal system, intercepting a problem log corresponding to the current fault code from a preset path;
writing the current fault code and the intercepted problem log into a fault storage area of a problem analysis system;
and inquiring the fault analysis area of the problem analysis system, and outputting a corresponding analysis conclusion according to an inquiry result.
In some embodiments, said writing said current fault code and said intercepted problem log to a fault storage area of a problem analysis system comprises:
and generating current time corresponding to the problem log, marking a fault line in the problem log, and writing the current fault code, the problem log and the current time into a fault storage area of a problem analysis system.
In some embodiments, the subsystems include a zone controller subsystem, a data storage subsystem, a computer interlock subsystem, an onboard controller subsystem, and an automatic train supervision subsystem.
In some embodiments, further comprising:
for the computer interlocking subsystem, analyzing the current communication control log in real time, determining whether an abnormal log exists according to a pre-recorded analysis template, and intercepting the abnormal log when the abnormal log exists.
In some embodiments, further comprising:
the analysis content of the fault codes corresponding to different subsystems is recorded in the fault analysis area in advance, and after the fault codes are written in the fault storage area, the corresponding analysis conclusion is searched from the fault analysis area.
In some embodiments, further comprising:
and when the fault analysis area does not have an analysis conclusion corresponding to the fault code, sending the corresponding problem log to a manual analysis system, and writing the generated analysis conclusion into the fault analysis area after the manual analysis conclusion is generated.
In some embodiments, the entering, in the fault analysis area in advance, analysis contents of fault codes corresponding to different subsystems includes:
inputting analysis contents of fault codes corresponding to different subsystems into the SD card, and arranging the SD card on a maintenance workstation of each subsystem.
In a second aspect of the present disclosure, there is provided a rapid field problem analysis device applied to rail transit, including:
the fault code monitoring module is used for monitoring fault codes sent by subsystems in the signal system according to a preset time interval;
the problem log intercepting module is used for responding to a received current fault code sent by one or more subsystems in the signal system and intercepting a problem log corresponding to the current fault code from a preset path;
the problem log writing module is used for writing the current fault code and the intercepted problem log into a fault storage area of a problem analysis system;
and the analysis conclusion query module is used for querying the fault analysis area of the problem analysis system and outputting a corresponding analysis conclusion according to a query result.
In a third aspect of the present disclosure, an electronic device is provided, comprising a memory having stored thereon a computer program and a processor implementing the method as described above when executing the program.
In a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method as set forth above.
By the rapid field problem analysis method applied to rail transit, logs of current faults can be automatically positioned, a preliminary analysis conclusion can be obtained, difficulty of repeated problem scenes of personnel is reduced, and debugging time is prolonged.
The statements made in this summary are not intended to limit key or critical features of the embodiments of the disclosure, nor are they intended to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
fig. 1 shows a flowchart of a method for rapidly analyzing a field problem applied to rail transit according to a first embodiment of the present disclosure;
fig. 2 is a schematic structural diagram illustrating a field problem rapid analysis device applied to rail transit according to a second embodiment of the present disclosure;
fig. 3 shows a schematic structural diagram of a field problem rapid analysis device applied to rail transit in the third embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
The field problem rapid analysis method applied to rail transit can autonomously position the current fault occurring log and obtain a preliminary analysis conclusion, reduces the difficulty of repeated problem scenes of personnel, and improves debugging time.
Specifically, as shown in fig. 1, it is a flowchart of a method for rapidly analyzing a field problem applied to rail transit according to a first embodiment of the present disclosure. In this embodiment, the method for rapidly analyzing the field problem applied to the rail transit may include the following steps:
s101: and monitoring fault codes sent by subsystems in the signal system according to a preset time interval.
The method of the embodiment of the disclosure can be applied to a fault analysis system in a rail transit system, and specifically, the fault analysis system can monitor fault codes sent by subsystems in a signal system according to a preset time interval. For example, the fault analysis system may monitor the fault code sent by the subsystem in the signal system in real time, or may monitor the fault code sent by the subsystem in the signal system according to a setting (for example, once in 3 seconds or once in 5 seconds) of a user. The subsystems in the signaling system may include, among others, a zone controller subsystem (ZC), a data storage subsystem (DSU), a computer interlock subsystem (CI), a vehicle controller subsystem (VOBC), and an automatic train supervision subsystem (ATS). The method has the advantages that fault codes are acquired for each subsystem, so that the subsystems in the signal system can be subjected to troubleshooting and analysis in a targeted mode, difficulty in repeated problem scenes of personnel is reduced, and debugging efficiency is improved.
S102: in response to receiving a current fault code sent by one or more subsystems in a signal system, intercepting a problem log corresponding to the current fault code from a preset path.
In this embodiment, when the fault analysis system receives a current fault code sent by one or more subsystems in the signal system, a problem log corresponding to the current fault code may be intercepted from a preset path.
Specifically, for different subsystems, the fault analysis system may respectively obtain log paths specified by a user in real time, and obtain corresponding running logs through the specified log paths. When the fault analysis system receives the current fault code sent by one or more subsystems, the problem log corresponding to the current fault code can be intercepted from the preset path.
S103: and writing the current fault code and the intercepted problem log into a fault storage area of a problem analysis system.
In this embodiment, after the problem log corresponding to the current fault code is intercepted from the preset path, the current time corresponding to the problem log may be generated, the fault line in the problem log is marked (for example, the fault line in the problem log is marked with a special color), and the current fault code, the problem log, and the current time are written into the fault storage area of the problem analysis system. The problem log is corresponding to the time, so that the problem log can be conveniently processed by follow-up manual work.
S104: and inquiring the fault analysis area of the problem analysis system, and outputting a corresponding analysis conclusion according to an inquiry result.
And after the fault codes are written into the fault storage area, inquiring an analysis conclusion corresponding to the written fault codes from the fault analysis area. And when the fault analysis area has an analysis conclusion corresponding to the written fault code, outputting a corresponding analysis conclusion.
In some embodiments, when the fault analysis area does not have an analysis conclusion corresponding to a fault code, sending a problem log corresponding to the fault code to a manual analysis system, and after generating the manual analysis conclusion, writing the generated analysis conclusion into the fault analysis area. Therefore, the fault condition of the train can be dynamically updated, the train fault pool is continuously expanded, and therefore analysis can be performed according to various fault conditions, corresponding analysis results are generated and stored in the fault analysis area.
The following exemplarily illustrates the analysis conclusion corresponding to some fault codes. As shown in table 1, the analysis result is a corresponding relationship between the fault code and the analysis result, where the analysis result includes a fault cause, an emergency treatment measure during driving, and a treatment measure during non-driving.
Table 1:
as an optional implementation manner of the embodiment of the present disclosure, analysis contents of fault codes corresponding to different subsystems may be recorded in a fault analysis area in advance, and after a fault code is written in a fault storage area, a corresponding analysis conclusion is searched from the fault analysis area, so that troubleshooting and analysis can be performed quickly.
And specifically, the analysis content of the fault codes corresponding to different subsystems can be recorded in the SD card, and the SD card can be set on the maintenance workstation of each subsystem. For example, the analysis content of the fault code corresponding to the same subsystem can be recorded in different SD cards, and then the SD cards are set on the maintenance workstations of the subsystems. The analysis content of the fault codes corresponding to different subsystems is stored locally in an SD card storage mode, and when a fault occurs, the fault reason can be determined quickly.
The field problem rapid analysis method applied to rail transit can autonomously position the current fault occurring log and obtain a preliminary analysis conclusion, reduces the difficulty of repeated problem scenes of personnel, and improves debugging time.
Furthermore, as an optional embodiment of the present disclosure, in the above embodiment, the method further includes:
for the computer interlocking subsystem, analyzing the current communication control log in real time, determining whether an abnormal log exists according to a pre-recorded analysis template, and intercepting the abnormal log when the abnormal log exists. That is, for other subsystems, the current communication control log does not need to be analyzed in real time, and the corresponding communication control log is obtained after the fault analysis system monitors the fault code. And for the computer interlocking subsystem, analyzing the current communication control log in real time, determining whether an abnormal log exists according to a pre-recorded analysis template, and intercepting the abnormal log when the abnormal log exists. Because the computer interlocking subsystem is closely related to the real-time running state of the train, the current communication control log needs to be analyzed in real time so as to improve the running safety of the train.
As another optional embodiment of the present disclosure, in the above embodiment, when it is detected that an abnormal log exists in the computer interlocking subsystem or a fault code of another subsystem is detected, the running video image corresponding to each subsystem may be further intercepted, so as to facilitate subsequent manual analysis.
It should be noted that for simplicity of description, the above-mentioned method embodiments are described as a series of acts, but those skilled in the art should understand that the present disclosure is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present disclosure. Further, those skilled in the art should also appreciate that the embodiments described in this specification are all alternative embodiments and that the acts and modules involved are not necessarily essential to the disclosure.
The above is a description of embodiments of the method, and the embodiments of the apparatus are further described below.
Fig. 2 is a schematic structural diagram of a field problem rapid analysis device applied to rail transit according to a second embodiment of the present disclosure. The quick analytical equipment of on-the-spot problem who is applied to track traffic of this embodiment includes:
and the fault code monitoring module 201 is configured to monitor a fault code sent by a subsystem in the signal system according to a preset time interval.
The problem log intercepting module 202 is configured to, in response to receiving a current fault code sent by one or more subsystems in the signal system, intercept, from a preset path, a problem log corresponding to the current fault code.
And the problem log writing module 203 is used for writing the intercepted problem log into a fault storage area of the problem analysis system.
And the analysis conclusion query module 204 is configured to query the fault analysis area of the problem analysis system, and output a corresponding analysis conclusion according to a query result.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the described module may refer to the corresponding process in the foregoing method embodiment, and is not described herein again.
FIG. 3 shows a schematic block diagram of an electronic device 300 that may be used to implement embodiments of the present disclosure. As shown, device 300 includes a Central Processing Unit (CPU) 301 that may perform various suitable actions and processes in accordance with computer program instructions stored in a Read Only Memory (ROM) 302 or computer program instructions loaded from a storage unit 308 into a Random Access Memory (RAM) 303. In the RAM 303, various programs and data necessary for the operation of the device 300 can also be stored. The CPU 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input/output (I/O) interface 305 is also connected to bus 304.
Various components in device 300 are connected to I/O interface 305, including: an input unit 306 such as a keyboard, a mouse, or the like; an output unit 307 such as various types of displays, speakers, and the like; a storage unit 308 such as a magnetic disk, optical disk, or the like; and a communication unit 309 such as a network card, modem, wireless communication transceiver, etc. The communication unit 309 allows the device 300 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The processing unit 301, which tangibly embodies a machine-readable medium, such as the storage unit 308, performs the various methods and processes described above. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 300 via ROM 302 and/or communication unit 309. When the computer program is loaded into RAM 303 and executed by CPU 301, one or more steps of the method described above may be performed. Alternatively, in other embodiments, CPU 301 may receive the data from the memory in any other suitable manner (e.g., by means of firmware) configured to perform the above-described method.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: a Field Programmable Gate Array (FPGA), an Application Specific Integrated Circuit (ASIC), an Application Specific Standard Product (ASSP), a system on a chip (SOC), a load programmable logic device (CPLD), and the like.
Program code for implementing the methods of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the program codes, when executed by the processor or controller, cause the functions/operations specified in the flowchart and/or block diagram to be performed. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
Further, while operations are depicted in a particular order, this should be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
Claims (10)
1. The field problem rapid analysis method applied to rail transit is characterized by comprising the following steps:
monitoring fault codes sent by subsystems in a signal system according to a preset time interval;
in response to receiving a current fault code sent by one or more subsystems in a signal system, intercepting a problem log corresponding to the current fault code from a preset path;
writing the current fault code and the intercepted problem log into a fault storage area of a problem analysis system;
and inquiring the fault analysis area of the problem analysis system, and outputting a corresponding analysis conclusion according to an inquiry result.
2. The analysis method according to claim 1, wherein the writing the current fault code and the intercepted problem log to a fault storage area of a problem analysis system comprises:
and generating current time corresponding to the problem log, marking a fault line in the problem log, and writing the current fault code, the problem log and the current time into a fault storage area of a problem analysis system.
3. The analysis method of claim 2, wherein the subsystems comprise a zone controller subsystem, a data storage subsystem, a computer interlock subsystem, an on-board controller subsystem, and an automatic train supervision subsystem.
4. The analytical method of claim 3, further comprising:
for the computer interlocking subsystem, analyzing the current communication control log in real time, determining whether an abnormal log exists according to a pre-recorded analysis template, and intercepting the abnormal log when the abnormal log exists.
5. The analytical method of claim 4, further comprising:
the analysis content of the fault codes corresponding to different subsystems is recorded in the fault analysis area in advance, and after the fault codes are written in the fault storage area, the corresponding analysis conclusion is searched from the fault analysis area.
6. The analytical method of claim 5, further comprising:
and when the fault analysis area does not have an analysis conclusion corresponding to the fault code, sending the corresponding problem log to a manual analysis system, and writing the generated analysis conclusion into the fault analysis area after the manual analysis conclusion is generated.
7. The analysis method according to claim 5, wherein the entering of the analysis content of the fault codes corresponding to different subsystems in the fault analysis area in advance comprises:
inputting analysis contents of fault codes corresponding to different subsystems into the SD card, and arranging the SD card on a maintenance workstation of each subsystem.
8. Be applied to track traffic's quick analytical equipment of on-the-spot problem, its characterized in that includes:
the fault code monitoring module is used for monitoring fault codes sent by subsystems in the signal system according to a preset time interval;
the problem log intercepting module is used for responding to a received current fault code sent by one or more subsystems in the signal system and intercepting a problem log corresponding to the current fault code from a preset path;
the problem log writing module is used for writing the current fault code and the intercepted problem log into a fault storage area of a problem analysis system;
and the analysis conclusion query module is used for querying the fault analysis area of the problem analysis system and outputting a corresponding analysis conclusion according to a query result.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the program, implements the method of any of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210927924.0A CN115320682B (en) | 2022-08-03 | 2022-08-03 | Method and device for rapidly analyzing field problems applied to rail transit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210927924.0A CN115320682B (en) | 2022-08-03 | 2022-08-03 | Method and device for rapidly analyzing field problems applied to rail transit |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115320682A true CN115320682A (en) | 2022-11-11 |
| CN115320682B CN115320682B (en) | 2024-04-26 |
Family
ID=83921613
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210927924.0A Active CN115320682B (en) | 2022-08-03 | 2022-08-03 | Method and device for rapidly analyzing field problems applied to rail transit |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115320682B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6634000B1 (en) * | 2000-02-01 | 2003-10-14 | General Electric Company | Analyzing fault logs and continuous data for diagnostics for a locomotive |
| JP2018160009A (en) * | 2017-03-22 | 2018-10-11 | Ｎｅｃプラットフォームズ株式会社 | Failure information processing program, computer, failure notification method, and computer system |
| CN108809729A (en) * | 2018-06-25 | 2018-11-13 | 郑州云海信息技术有限公司 | The fault handling method and device that CTDB is serviced in a kind of distributed system |
| CN110941528A (en) * | 2019-11-08 | 2020-03-31 | 支付宝(杭州)信息技术有限公司 | Log buried point setting method, device and system based on fault |
| WO2021108904A1 (en) * | 2019-12-02 | 2021-06-10 | Wsp Global Inc. | Railway management system with data repository |
| CN113066276A (en) * | 2021-03-18 | 2021-07-02 | 国网陕西省电力公司电力科学研究院 | Communication fault monitoring method and device for electricity consumption information acquisition system and storage medium |
-
2022
- 2022-08-03 CN CN202210927924.0A patent/CN115320682B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6634000B1 (en) * | 2000-02-01 | 2003-10-14 | General Electric Company | Analyzing fault logs and continuous data for diagnostics for a locomotive |
| JP2018160009A (en) * | 2017-03-22 | 2018-10-11 | Ｎｅｃプラットフォームズ株式会社 | Failure information processing program, computer, failure notification method, and computer system |
| CN108809729A (en) * | 2018-06-25 | 2018-11-13 | 郑州云海信息技术有限公司 | The fault handling method and device that CTDB is serviced in a kind of distributed system |
| CN110941528A (en) * | 2019-11-08 | 2020-03-31 | 支付宝(杭州)信息技术有限公司 | Log buried point setting method, device and system based on fault |
| WO2021108904A1 (en) * | 2019-12-02 | 2021-06-10 | Wsp Global Inc. | Railway management system with data repository |
| CN113066276A (en) * | 2021-03-18 | 2021-07-02 | 国网陕西省电力公司电力科学研究院 | Communication fault monitoring method and device for electricity consumption information acquisition system and storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 方薇;: "轨道交通通信设备故障分析系统的设计与实现", 铁道通信信号, no. 01, 17 January 2015 (2015-01-17) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115320682B (en) | 2024-04-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111817891A (en) | Network fault processing method and device, storage medium and electronic equipment | |
| CN109669844A (en) | Equipment obstacle management method, apparatus, equipment and storage medium | |
| CN110017994B (en) | Method, apparatus, system, device and medium for detecting abnormality of autonomous vehicle | |
| CN111723646B (en) | Method and device for remotely assisting in maintaining equipment | |
| CN107749778B (en) | A kind of communications optical cable fault early warning method and device | |
| CN115964645B (en) | Big data-based information processing method and system | |
| CN115909740A (en) | Vehicle-road cooperation realization method and device, computer equipment and storage medium | |
| CN113085882B (en) | Fault processing method and device, electronic equipment and storage medium | |
| CN114228789A (en) | Full-automatic train dual-channel remote control method, device, equipment and medium | |
| CN113807228A (en) | Parking event prompting method and device, electronic equipment and storage medium | |
| CN115320682A (en) | On-site problem rapid analysis method and device applied to rail transit | |
| CN107992022B (en) | Control method, device, controller and system for fault diagnosis | |
| CN109815124A (en) | Method and device, the interlock system of interlock defect analysis based on MBSE | |
| CN112816933A (en) | Maintenance diagnosis method and system for electric energy meter terminal | |
| CN112447027A (en) | State detection method, state detection device, computer device and readable storage medium | |
| CN114034972B (en) | Intelligent cable fault determining method and device based on image data | |
| CN112668912B (en) | Training method, dynamic calculation segmentation scheduling method, storage medium and system for artificial neural network | |
| CN110825065A (en) | Method and system for detecting operation state of industrial internet control system in real time | |
| CN109557453A (en) | A kind of more main control chip identifying processing method and system | |
| CN112764852A (en) | Operation and maintenance safety monitoring method and system for intelligent wave recording master station and computer readable storage medium | |
| CN113326196A (en) | Method and device for testing case | |
| CN112132544A (en) | Inspection method and device of business system | |
| CN113650656B (en) | Intelligent fault diagnosis method based on train operation scene | |
| CN112559238B (en) | Troubleshooting strategy generation method and device for Oracle database, processor and storage medium | |
| CN117424985B (en) | Multi-scene network video monitoring and early warning system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |