CN109657812A - A kind of locomotive maintenance method based on expert knowledge library - Google Patents

A kind of locomotive maintenance method based on expert knowledge library Download PDF

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Publication number
CN109657812A
CN109657812A CN201811497960.8A CN201811497960A CN109657812A CN 109657812 A CN109657812 A CN 109657812A CN 201811497960 A CN201811497960 A CN 201811497960A CN 109657812 A CN109657812 A CN 109657812A
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China
Prior art keywords
knowledge
maintenance
expert
library
locomotive
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CN201811497960.8A
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宁鑫
吕彬龙
何鹏
赵红
来瑞珉
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Tianjin Jinhang Computing Technology Research Institute
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Tianjin Jinhang Computing Technology Research Institute
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance

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  • General Business, Economics & Management (AREA)
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Abstract

The invention belongs to locomotive maintenance fields, and in particular to a kind of locomotive maintenance method based on expert knowledge library, including knowledge point is arranged according to fixed mapping ruler, establish expert knowledge library;Existing maintenance knowledge is input to expert knowledge library according to fixation mapping ruler described in S1;Information required for field maintenance person inputs according to regulation mapping ruler to knowledge base, knowledge base export result to maintenance personnel according to mapping ruler.The present invention greatly improves the maintenance management level of maintenance support system by the foundation of knowledge base;And the lesson of successful experience and failure is subjected to sorting-out in statistics, so that maintenance personnel is more quickly and accurate to the maintenance of signalling arrangement.

Description

A kind of locomotive maintenance method based on expert knowledge library
Technical field
The invention belongs to locomotive maintenance fields, and in particular to a kind of locomotive maintenance method based on expert knowledge library.
Background technique
As shown in Figure 1, maintenance personnel ties up according to signal of the maintenance support system monitoring situation to all operations of route Pillar reason,
After maintenance support system monitoring to some signalling arrangement breaks down alarm, one can be generated according to this warning message A maintenance work order is simultaneously issued in the mailbox of maintenance personnel, after maintenance personnel receives this maintenance work order, according to maintenance work order The content of description repairs the scene equipment that breaks down, and maintenance personnel is as shown in Figure 2 to the treatment process of maintenance work order.
The maintenance work order process flow of existing maintenance support system depends entirely on the efficiency of maintenance management and result The professional skill of maintenance personnel itself, wherein having lacked the maintenance guidance to maintenance personnel and the receipts to each success maintenance experience Collection.
When maintenance personnel receives a maintenance work order, maintenance personnel can only be by personal experience to existing after reaching scene Can field failure be diagnosed, then repair and successfully also be completely dependent on Personal Skills' level, it is possible to field failure occur not It can be in time and the case where correctly repair.
In addition, maintenance support system only can be according to work after maintenance personnel successfully repairs a field failure alarm case Single receipt records that this is repaired as a result, there is no the successful experience of maintenance is summarized and utilized.
Industry slang is explained as follows:
Abbreviation English Chinese
CBTC Communication Base Train Control Communication-based train control system
MSS Maintenance Support System Maintenance support system
DCS Data Communication System Data communication system
AP Access Point Access point
ZC Zone Controller Zone controller
ATS Automatic Train Supervision Train is supervised automatically
CI Computer Interlocking Computer interlocking
Summary of the invention
(1) technical problems to be solved
The technical problem to be solved by the present invention is existing locomotive maintenance excessively relies on the professional skill of maintenance personnel.
(2) technical solution
In order to solve the above technical problems, the present invention provides a kind of locomotive maintenance method based on expert knowledge library, including
S1, the foundation of knowledge base
Knowledge point is arranged according to fixed mapping ruler, establishes expert knowledge library;
S2, the input of knowledge base
Existing maintenance knowledge is input to expert knowledge library according to fixation mapping ruler described in S1;
S3, the output of knowledge base
Information required for field maintenance person inputs according to regulation mapping ruler to knowledge base, knowledge base are advised according to mapping Then result is exported to maintenance personnel.
Further, when step S1 establishes expert knowledge library, mapping ruler between knowledge in knowledge base point: R [s, d]=(s → d);
Knowledge node s is the starting knowledge point under rule R, and d is the object knowledge point under rule R.
S be ATP, ZC, CI, ATS, semaphore, track section, meter shaft, all monitorings of transponder line track traffic letter The set of number equipment;
Each starting knowledge point can generate a knowledge according to regular R in s, so d is to be known according to what regular R was generated The set of knowledge.
Element includes: signalling arrangement, warning message, processing method and work order executor during maintenance management;R= Signalling arrangement+warning message+processing method+work order executor, work order executor are divided into specific breakdown maintenance personnel and expert Group.
Further, the knowledge inputted in step S2 is divided to two kinds, one is based on industry specialists theoretical knowledge and experience know Know, one is direct field experience knowledge acquisitions.
From the knowledge acquisition process of industry specialists:
S211, by industry specialists about signalling arrangement breakdown maintenance knowledge entry;
S212 holds specialists meeting and is evaluated
S213, every knowledge typing knowledge base that evaluation is passed through;
Source directly acquires knowledge process on site:
S221, maintenance personnel complete the maintenance of a faulty equipment;
S222, judges whether failure repairs success, if success, fills in work order receipt and is uploaded to maintenance support system, A knowledge is generated according to rule, by the knowledge typing knowledge base of generation;If unsuccessful, fill in work order receipt and be uploaded to maintenance Terminate after support system.
Further, step S3 maintenance personnel obtains after carrying out locomotive maintenance behind knowledge point, and result is arranged, knowledge is added to In library.
(3) beneficial effect
Compared with prior art, the present invention have it is following the utility model has the advantages that
The present invention greatly improves the maintenance management level of maintenance support system by the foundation of knowledge base;And it will be at The experience of function and the lesson of failure carry out sorting-out in statistics, so that maintenance personnel is more quickly and accurate to the maintenance of signalling arrangement.
Detailed description of the invention
Fig. 1 is the maintenance management composition schematic diagram of maintenance support system in the prior art.
Fig. 2 is to safeguard work order process flow diagram in the prior art.
Fig. 3 is that expertise acquires input process chart.
Fig. 4 is that scene directly acquires knowledge input process chart.
Fig. 5 is based on maintenance work order process flow diagram of the invention.
Specific embodiment
To keep the purpose of the present invention, content and advantage clearer, with reference to the accompanying drawings and examples, to of the invention Specific embodiment is described in further detail.
Embodiment 1
A kind of locomotive maintenance method based on expert knowledge library, including
S1, the foundation of knowledge base
Knowledge point is arranged according to fixed mapping ruler, establishes expert knowledge library;
The mapping ruler between knowledge in knowledge base point: R [s, d]=(s → d) is defined first;
Knowledge node s is the starting knowledge point under rule R, and d is the object knowledge point under rule R.
The main monitoring object of maintenance support system be rail line overall signal equipment, so s be ATP, ZC, CI, ATS, semaphore, track section, meter shaft, transponder,.All monitorings line track traffic signals equipment set.
Each starting knowledge point can generate a knowledge according to regular R in s, so d is to be known according to what regular R was generated The set of knowledge.
Important elements include: that (attribute: device type, location of the machine to be installed are set signalling arrangement during maintenance management Standby service life, equipment have used the time), warning message (attribute: when alarm title, alarm level, alarm generate place, alarm Between), processing method and work order executor.
Wherein work order executor is divided into specific breakdown maintenance personnel and expert group.
So R=[signalling arrangement+warning message+processing method+work order executor].
S2, the input of knowledge base
Existing maintenance knowledge is input to expert knowledge library according to fixation mapping ruler described in S1;
The knowledge inputted in knowledge base is divided to two kinds, and one is theoretical knowledges and Heuristics based on industry specialists, a kind of It is direct field experience knowledge acquisition.
Knowledge acquisition process from industry specialists is as shown in Figure 3:
S211, by industry specialists about signalling arrangement breakdown maintenance knowledge entry;
S212 holds specialists meeting and is evaluated
S213, every knowledge typing knowledge base that evaluation is passed through;
Wherein, R principle is deferred to, work order executor fills in expert group.
Directly acquisition knowledge process is as shown in Figure 4 on site in source:
S221, maintenance personnel complete the maintenance of a faulty equipment;
S222, judges whether failure repairs success, if success, fills in work order receipt and is uploaded to maintenance support system, A knowledge is generated according to rule, by the knowledge typing knowledge base of generation;If unsuccessful, fill in work order receipt and be uploaded to maintenance Terminate after support system.
S3, the output of knowledge base
Information required for field maintenance person inputs according to regulation mapping ruler to knowledge base, knowledge base are advised according to mapping Then result is exported to maintenance personnel;
The output of expert knowledge library is mainly to provide live same type or like device breakdown maintenance for maintenance personnel It is recommended that so the output of expert knowledge library is one or more knowledge most like with failure described by current maintenance workers list.Dimension Shield personnel can repair failure described in maintenance work order with reference to these knowledge.
The solution of most like knowledge:
It will be according to an output representation of knowledge are as follows:
[a* device type+location of the machine to be installed+b* equipment life+equipment has used time+c* alarm title+d* report to D= Alert grade+alarm place+e* alarm generation time+f* work order executor]
The wherein value range of each weight are as follows: { a, b, c, d, e, f } ∈ [0,1], and meet a+b+c+d+e+f=1.
(each weight depending on project reality.Such as, when work order executes some artificial maintenance personnel, f= 0.05, when work order executes artificial expert group, f=0.15.)
Define degree of fitting: N=a+b+c+d+e+f.
After maintenance support system acquisition to a live fault alarm information, system software is asked according to degree of fitting formula Solve preceding 10 (configurable) Heuristicses of degree of fitting N greater than P (e.g., P=0.5, can configure), as maintenance reference proposition with Maintenance workers list sends jointly to maintenance personnel.
The maintenance work order process flow of maintenance support system based on expert knowledge library is as shown in Figure 5.
Maintenance personnel obtains after carrying out locomotive maintenance behind knowledge point, and result is arranged, is added in knowledge base.

Claims (7)

1. a kind of locomotive maintenance method based on expert knowledge library, which is characterized in that including
S1, the foundation of knowledge base
Knowledge point is arranged according to fixed mapping ruler, establishes expert knowledge library;
S2, the input of knowledge base
Existing maintenance knowledge is input to expert knowledge library according to fixation mapping ruler described in S1;
S3, the output of knowledge base
Information required for field maintenance person inputs according to regulation mapping ruler to knowledge base, knowledge base will according to mapping ruler As a result it exports to maintenance personnel.
2. the locomotive maintenance method based on expert knowledge library according to claim 1, which is characterized in that step S1 establishes expertise When library, mapping ruler between knowledge in knowledge base point: R [s, d]=(s → d);
Knowledge node s is the starting knowledge point under rule R, and d is the object knowledge point under rule R.
3. the locomotive maintenance method according to claim 2 based on expert knowledge library, which is characterized in that s ATP, ZC, CI, ATS, The set of the line track traffic signals equipment of all monitorings of semaphore, track section, meter shaft, transponder;
Each starting knowledge point can generate a knowledge according to regular R in s, so d is according to the regular R knowledge generated Set.
4. the locomotive maintenance method based on expert knowledge library according to claim 1, which is characterized in that when establishing expert knowledge library, Element includes: signalling arrangement, warning message, processing method and work order executor during maintenance management;R=signalling arrangement + warning message+processing method+work order executor, work order executor are divided into specific breakdown maintenance personnel and expert group.
5. the locomotive maintenance method based on expert knowledge library according to claim 1, which is characterized in that the knowledge inputted in step S2 It is divided to two kinds, one is theoretical knowledges and Heuristics based on industry specialists, and one is direct field experience knowledge acquisitions.
6. the locomotive maintenance method according to claim 5 based on expert knowledge library, which is characterized in that
From the knowledge acquisition process of industry specialists:
S211, by industry specialists about signalling arrangement breakdown maintenance knowledge entry;
S212 holds specialists meeting and is evaluated
S213, every knowledge typing knowledge base that evaluation is passed through;
Source directly acquires knowledge process on site:
S221, maintenance personnel complete the maintenance of a faulty equipment;
S222, judges whether failure repairs success, if success, fills in work order receipt and is uploaded to maintenance support system, according to Rule generates a knowledge, by the knowledge typing knowledge base of generation;If unsuccessful, fill in work order receipt and be uploaded to maintenance support Terminate after system.
7. the locomotive maintenance method based on expert knowledge library according to claim 1, which is characterized in that step S3 maintenance personnel obtains After carrying out locomotive maintenance behind knowledge point, result is arranged, is added in knowledge base.
CN201811497960.8A 2018-12-07 2018-12-07 A kind of locomotive maintenance method based on expert knowledge library Pending CN109657812A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111130889A (en) * 2019-12-26 2020-05-08 天津津航计算技术研究所 Signal maintenance support method with alarm information mail notification function

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104442931A (en) * 2014-11-20 2015-03-25 上海富欣智能交通控制有限公司 Comprehensive rail transit maintenance and management system
CN106570653A (en) * 2016-11-10 2017-04-19 国网山东省电力公司济南供电公司 Support system for rush-repair work order distributing of distribution network and optimization method
CN106908696A (en) * 2017-03-24 2017-06-30 国电南瑞科技股份有限公司 A kind of distribution network failure feature and diagnostician's construction of knowledge base method
CN107784456A (en) * 2017-11-20 2018-03-09 深圳市亿联智能有限公司 A kind of method of work order from turn knowledge base
CN108681886A (en) * 2018-07-17 2018-10-19 上海水顿智能科技有限公司 A kind of method and system of wisdom Emergency decision disposition using four library of a net

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104442931A (en) * 2014-11-20 2015-03-25 上海富欣智能交通控制有限公司 Comprehensive rail transit maintenance and management system
CN106570653A (en) * 2016-11-10 2017-04-19 国网山东省电力公司济南供电公司 Support system for rush-repair work order distributing of distribution network and optimization method
CN106908696A (en) * 2017-03-24 2017-06-30 国电南瑞科技股份有限公司 A kind of distribution network failure feature and diagnostician's construction of knowledge base method
CN107784456A (en) * 2017-11-20 2018-03-09 深圳市亿联智能有限公司 A kind of method of work order from turn knowledge base
CN108681886A (en) * 2018-07-17 2018-10-19 上海水顿智能科技有限公司 A kind of method and system of wisdom Emergency decision disposition using four library of a net

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111130889A (en) * 2019-12-26 2020-05-08 天津津航计算技术研究所 Signal maintenance support method with alarm information mail notification function

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