CN105844435A - Subway vehicle fault information management system based on FMECA - Google Patents
Subway vehicle fault information management system based on FMECA Download PDFInfo
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Abstract
The invention discloses a subway vehicle fault information management system based on FMECA. The system comprises a user management module, an information management module, a statistical analysis module, a system maintenance module and a help module. The information management module comprises a fault information storage module, a fault information input module, a fault information identification module, a fault information updating module, a calculation and decision module and a fault information output module. The statistical analysis module comprises a fault data statistical module, a fault rate analysis module, an FMECA analysis module and a maintenance decision analysis module. Standardized management of vehicle field data, mining analysis of the field data and determination of the reliability state of equipment parts are mainly realized so that a preliminary decision can be formed and vehicle maintenance rationality can be enhanced.
Description
Technical field
The invention belongs to railcar technical field of information management, particularly to a kind of ground based on FMECA
Iron vehicle trouble messages management system.
Background technology
Along with the development of China's economy, the continuous expansion of city size, urban public transport system
Artery as urban population trip flowing is faced with the increasing pressure.Urban track traffic relies on
The plurality of advantages such as its carrying capacity is big, run on schedule, safety and environmental protection become the important set of urban public transport
Become part, not only facilitate civic trip, bring bigger economy and society's effect to city especially
Benefit.Urban track traffic becomes the important directions of China's each public traffic in metropolis development.
Subway transportation system is a kind of important composition form of City Rail Transit System.Railcar is made
For the important component part of subway transportation system, its serviceability is related to whole subway traffic system
Normal operation.Owing to the parts of each composition system of railcar can be along with the increase of distance travelled
And can occur aging, wear and tear and the problem such as corrosion, be likely to be damaged at random in utilization process simultaneously
Wound, this may make the state of the art of parts be difficult to meet the normal service requirement of railcar and lead
Cause railcar be delayed, late, even result in the major accident of the proteges of the powerful who stay with their benefactions like parasites and rescue.Therefore, to subway
The Maintenance and Repair work of vehicle is particularly important, is to ensure that the necessary condition that railcar is properly functioning.
Fault message is railcar fault letter in main track utilization and storehouse recorded in maintenance process
Breath, reflects railcar and respectively forms fault characteristic and the fault observer of system unit.To railcar
Fault message effectively manages and is conducive to improving the conjunction that railcar Maintenance and Repair work with mining analysis
Rationality and operating efficiency.
But, although the rolling stock section of many metro operation companies all possesses the fault information managing system of self
System, but there is fault message input, tissue not in the fault information management system of many metro depots
Specification, fault information managing flow process are excessively simple, failure data analyzing excavates the shortcomings such as the most abundant,
This makes the precious information reflecting railcar reliability state, fault characteristic and fault observer be difficult to fill
Divide and utilize.
Summary of the invention
Goal of the invention: the present invention provides a kind of railcar fault information management system based on FMECA,
Be in order to make up current subway vehicle trouble messages management system at fault message tissue, manage and analyze
Etc. aspect design present on not enough.Can be standardized railcar fault message by the present invention
Input, is processed by FMECA flow process fault message, it is achieved the continuous renewal of FMECA database,
Improve the analysis mining efficiency to fault message and form decision-making, for instructing subway according to analysis result
Maintenance and Repair work provide foundation.
Technical scheme: for achieving the above object, the technical solution used in the present invention is:
A kind of railcar fault information management system based on FMECA, including user management module,
Information management module, statistical analysis module, system maintaining module and help module,
Described information management module includes fault message memory module, fault message input module, fault
Information identification module, fault message more new module, calculating and decision-making module and fault message output module；
All fault messages that described fault message memory module associates with fault phase for storage；
Described fault message input module is stored in the information in fault message memory module for retrieval；
Described fault message identification module is used for identifying whether the fault message of input exists, if input
Fault message does not exists, and needs more fresh information；
Described fault message updates mould and is used for adding renewal fault message；
Described calculating and decision-making module are used for adding up the fault message of each system, parts or subassembly,
Calculate each system, parts or the subassembly fault rate in each distance travelled interval of train, calculate
Its various faults affect probability, frequency ratio and density of infection, and realize the renewal of fault message, with
Time by local polynomial regression approximating method build parts bathtub curve, it is judged that parts thereof
Bathtub curve type in the range of current mileage, analyzes nature of trouble；By hierarchical clustering algorithm structure
Build criticality category interval, clearly go out the density of infection scope corresponding to each interval, on this basis
Building fault mode density of infection matrix, the adjustment for the Maintenance and Repair work of trouble unit provides decision-making to depend on
According to；
Quantitatively harmfulness Matrix Analysis Method mainly calculates each fault respectively by formula (1), formula (2)
Pattern density of infection Cmj and key components and parts density of infection Cr, and to different Cmj and the Cr value tried to achieve point
It is not ranked up, or the Cmj of each fault mode, the Cr of product are carried out by application harmfulness matrix diagram
HAZAN.
Fault mode density of infection quantitative calculation method is calculated by formula (1).
Cmj=αjβjλpt (1)
In formula:
J=1,2,3 ..., N, N are the fault mode sum of parts.
αj(fault mode frequency ratio) parts jth kind fault mode frequency is all with parts
The ratio of possible breakdown pattern occurrences.MeetThe frequency ratio of the most all fault modes it
With for 1.αjCan be by the fault data of railcar main track record and the fault of maintenance repair and maintenance record
Data statistic analysis is tried to achieve.
βjUnder conditions of (failure mode effect probability) jth kind fault mode occurs, it finally affects
Cause " the most about given layer " that the conditional probability of its severity grade occurs.Main by experience or fault
Data results carries out quantitative predication, and value can be chosen according to table 1.
λjParts fault rate in its a certain task phase, unit is 1/km.
T parts are in the working time of a certain task phase, and unit is km.
Table 1 fault affects probability βjRecommendation
On the basis of obtaining fault mode density of infection, the density of infection quantitative calculation method of certain various parts
Calculate by formula (2).
In formula, j=1,2,3 ..., N, N are the fault mode sum of parts.
To the fault rate in the range of a certain mileage, formula (3) is used to carry out point estimation:
In formula:
Δ t is statistics mileage interval, and unit is km；
ΔnfFor in Δ t, the component number broken down；
nsFor the component number not broken down before statistical interval mileage.Generally, due to maintenance
The regeneration function of work, it is believed that all carried out maintenance after each fault of parts or replacing processes,
Therefore for specific parts, nsIt is considered a definite value.
Described fault message output module is for fault message Query Result and calculating and the result of decision
Output；
Described statistical analysis module includes that fault data statistical module, fault rate analyze module, FMECA divides
Analysis module and maintenance decision analyze module；
Described fault data statistical module includes the inquiry of fault data statistical information and fault data statistics letter
Breath operation,
Described fault rate is analyzed module and is included that fault rate inquiry, fault rate calculate and bathtub curve analysis,
Described FMECA analyzes module and includes that railcar FMEA analyzes and railcar CA analyzes,
Described maintenance decision is analyzed module and is finally drawn maintenance decision strategy.
Described fault message is divided into each blockette and stores, including fault essential information, inspection
Repair personal information, train essential information, train system information, train overhaul information, FMEA information with
And CA information；Total framework and the sub-information module of fault message are connected by numbering opening relationships, in event
In the total framework of barrier information, can be obtained in sub-information module by the numbering retrieving each sub-information module
Specifying information；
Described fault essential information includes that fault occurs date, time, failure-description etc.,
Described maintainer's information includes Trouble Report people, troubleshooting people etc.,
Described train essential information includes the current distance travelled of train number, train, train maintenance last time
Grade, train currently overhaul grade etc.,
Described train system information includes the essential information of each system, parts or subassembly, and each is
System, parts or the fault rate information etc. of subassembly,
Described train overhaul information includes the date and time etc. changed component information, overhauled,
Described FMEA information includes fault mode, impact analysis,
Described CA information includes fault harm degree analysis.
The inquiry of described fault data statistical information is capable of the fault to different system, parts or subassembly
The inquiry of frequency information, and draw bar shaped statistical chart, thus judge each system, parts or son
The relative frequency size of component malfunction, provides foundation for maintenance decision analysis.
Fault data statistical information operation in described fault data statistical module includes that fault message is added up
With interpolation fault statistics object.
Described fault rate analyzes the fault rate calculating in module can be real to each system, parts or sub-portion
The point estimation of part fault rate on different traffic coverage mileages is worth inquiry, it is achieved to new typing fault
The process of data also calculates fault rate, draws bathtub curve and provides foundation for Analysis of Policy Making.
Described railcar FMEA analyzes and includes failure mode analysis (FMA), failure reason analysis, fault impact
With severity analysis, fault detection method analysis and fault correction measures analysis.
Described railcar CA analyzes and includes that density of infection calculates and analyze and build density of infection matrix judgement mark
Accurate.
Described user management module include user profile inquiry, user's registration management, for rights management and
User cipher manages；
Described system maintaining module includes system data back-up and system data reduction；
Described help module includes System Privileges explanation, function operation instruction and about us.
Described information management module includes the input of fault message, stores, updates and export, and specifically wraps
Include following steps:
Step 1: user passes through account name and password login fault information management system；
Step 2: user is according to system failure MIM message input module input fault information；In the process,
Fault message input module will transfer every prestored message from the database of fault message memory module,
Provide the user option；
Step 3: when user is carrying out when the filling in of a certain content of fault message, if the letter now filled in
Breath mates with the fault message of fault message memory module, then user can complete in this by choosing
The input held, otherwise needs self-defined fault message to improve this content；
Step 4: when user completes after fault message inputs and submit to, and fault message identification module will be to this
Fault message is identified, it is determined that this fault message is in the fault stored of fault message memory module
Whether information exists, if not existing, then by fault message more new module directly by this fault message
It is stored in fault message memory module, directly updates existing fault message；
Step 5: owing to the addition of new fault message, the calculating in information management module and decision-making module
CA will be recalculated, and updated the CA letter in fault message memory module by fault message more new module
Breath, so far fault information management system completes the storage of fault message.
Described statistical analysis module comprises the following steps:
Step 1: user passes through account name and password login fault information management system；
Step 2: user uses the inquiry input of fault data statistical information to need the FMECA information of inquiry,
Fault message identification module is according to the fault letter in the Query Information inquiry fault message memory module of input
Breath, inquiry FMEA information and then inquiry CA information；
Step 3: if the result of inquiry exists, fault message output module input FMECA information, otherwise
Prompting user's Query Information does not exists, and needs re-enter querying condition or abandon inquiry.
Step 4: after fault message output module input FMECA information, user can set analysis condition
Proceed by computational analysis, if computational analysis is obtained a result, then output Calculation results and decision-making
Result；If computational analysis makes mistakes, need analysis condition is provided again or abandons analyzing.
Beneficial effect: compared with prior art, the method have the advantages that
The theoretical foundation of the present invention is FMECA analysis method for reliability, and this analysis method is widely used in
The fields such as Aeronautics and Astronautics even civil equipment, are mainly used in the fault mode of reductive analysis object, therefore
Barrier reason, fault affects and calculates fault harm degree.The analysis result of FMECA can be product design,
The later maintenance of product provides foundation.The inventive method is by simulating the analysis process of FMECA, it is achieved
Standardisation body and high efficiency to fault message process, and enable fault message more effectively to be managed
Reason and utilization.The present invention can be the most complete vehicle-state maintenance decision-making system.Realize fault message record
Enter, fault data statistics and analysis, fault rate calculate and bathtub curve output, each critical system weight
The functions such as the FMECA wanting parts analyzes, State Maintenance judgement.So far, domestic metro project
The construction of comprehensive maintenance KXG is in the starting stage.Owing to there is no suitable system to greatly
The fault data of amount carries out collecting, trend analysis, it is impossible to meet the reality of domestic vehicles and maintenance of equipment
Need, cause technical staff and lack accurate failure predication foundation, the not science of management, flow process
Random.Vehicle-state maintenance decision-making system will be developed under windows environment, use
Client/Sever system architecture, using Visual studio as development platform, using C# as exploitation
Language, using SQL Server as background data server.Vehicle-state maintenance decision-making system is mainly divided
For user management module, information management module, statistical analysis module, system maintaining module and help
Part.This system mainly realizes the standardized management to vehicle field data, the excavation of field data
Analyze, judge that equipment component reliability state, to form preliminary decision-making, improves car inspection and repair reasonability
Accompanying drawing explanation
Fig. 1 is the module frame chart of the present invention；
Fig. 2 is the block diagram of statistical analysis module of the present invention；
Fig. 3 is the development process figure of the present invention；
Fig. 4 is fault message memory module database structure relational design figure of the present invention；
Fig. 5 is that fault message of the present invention stores process chart；
Fig. 6 is FMECA information inquiry of the present invention and analysis decision process chart.
Detailed description of the invention
Below in conjunction with embodiment, the present invention is further described.
A kind of railcar fault information management system based on FMECA, including user management module,
Information management module, statistical analysis module, system maintaining module and help module,
Described information management module includes fault message memory module, fault message input module, fault
Information identification module, fault message more new module, calculating and decision-making module and fault message output module；
All fault messages that described fault message memory module associates with fault phase for storage；Fault
Information storage module, this module mainly stores all information associated with fault phase, including fault base
This information (fault occur date, time, failure-description etc.), maintainer's information (Trouble Report people,
Troubleshooting people etc.), train essential information (the current distance travelled of train number, train, train last time
Maintenance grade, train currently overhaul grade etc.), train system information (the basic letter of each system parts
Breath, be respectively the fault rate information etc. of parts), train overhaul information (change component information, overhauled
Become date, time etc.), FMEA (fault mode, impact analysis) information and CA (fault harm degree
Analyze) information etc..This module is the basis of whole subway vehicle trouble messages management system.
Described fault message input module is stored in the information in fault message memory module for retrieval；
Being fault information management system foreground interface portion, this module can be retrieved and be stored in fault message storage
Information in module, by providing selectable normalized item of information for information manager, guides
The regular input fault information that information manager is formulated by system, on the one hand achieves fault message defeated
The standardization entered, decreases the generation that statement is not clear, state the phenomenon of ambiguity, on the other hand also reduces
Technology requirement to administrative staff, the most beneficially collection of reliability field test data.
Described fault message identification module is used for identifying whether the fault message of input exists, if input
Fault message does not exists, and needs more fresh information；The fault message of input is identified, retouches according to it
The letters such as the fault mode stated, failure cause, fault impact, fault detection method, fault correction measure
Breath judges whether the FMEA information that this fault message is corresponding exists, if not existing, needs to update FMEA
Database.This module is capable of the FMEA database information of railcar fault information management system
Constantly update and perfect.
Described fault message updates mould and is used for adding renewal fault message；Sentence at fault message identification module
After the FMEA information that disconnected fault message is corresponding does not exists, it is achieved the renewal to FMEA database, simultaneously
This module also is able to realize the renewal of other all related informations.
Described calculating and decision-making module are used for adding up the fault message of each system, parts or subassembly,
Calculate each system, parts or the subassembly fault rate in each distance travelled interval of train, calculate
Its various faults affect probability, frequency ratio and density of infection, and realize the renewal of fault message, should
Module mainly by adding up the fault message of each system parts, calculates each system parts each at train
Fault rate in individual distance travelled interval, calculates the probability that affects of its each fault mode, frequency ratio and
Density of infection, and realize the renewal of CA database, predict component failure by built-in forecast model simultaneously
Rate and fault mode density of infection, analyze fault rate and density of infection curvilinear trend, resolves fault mode harm
Degree matrix, the adjustment for the Maintenance and Repair work of parts provides decision-making foundation；
Built the bathtub curve of parts by local polynomial regression approximating method, it is judged that part simultaneously
Bathtub curve type in the range of the current mileage of parts, analyzes nature of trouble；Pass through hierarchical clustering
It is interval that algorithm builds criticality category, clearly goes out the density of infection scope corresponding to each interval, at this
On the basis of build fault mode density of infection matrix, for trouble unit Maintenance and Repair work adjustment provide
Decision-making foundation；
Quantitatively harmfulness Matrix Analysis Method mainly calculates each fault respectively by formula (1), formula (2)
Pattern density of infection Cmj and key components and parts density of infection Cr, and to different Cmj and the Cr value tried to achieve point
It is not ranked up, or the Cmj of each fault mode, the Cr of product are carried out by application harmfulness matrix diagram
HAZAN.
Fault mode density of infection quantitative calculation method is calculated by formula (1).
Cmj=αjβjλpt (1)
In formula:
J=1,2,3 ..., N, N are the fault mode sum of parts.
αj(fault mode frequency ratio) parts jth kind fault mode frequency is all with parts
The ratio of possible breakdown pattern occurrences.MeetThe frequency ratio of the most all fault modes it
With for 1.αjCan be by the fault data of railcar main track record and the fault of maintenance repair and maintenance record
Data statistic analysis is tried to achieve.
βjUnder conditions of (failure mode effect probability) jth kind fault mode occurs, it finally affects
Cause " the most about given layer " that the conditional probability of its severity grade occurs.Main by experience or fault
Data results carries out quantitative predication, and value can be chosen according to table 1.
λjParts fault rate in its a certain task phase, unit is 1/km.
T parts are in the working time of a certain task phase, and unit is km.
Table 1 fault affects probability βjRecommendation
On the basis of obtaining fault mode density of infection, the density of infection quantitative calculation method of certain various parts
Calculate by formula (2).
In formula, j=1,2,3 ..., N, N are the fault mode sum of parts.
To the fault rate in the range of a certain mileage, formula (3) is used to carry out point estimation:
In formula:
Δ t is statistics mileage interval, and unit is km；
ΔnfFor in Δ t, the component number broken down；
nsFor the component number not broken down before statistical interval mileage.Generally, due to maintenance
The regeneration function of work, it is believed that all carried out maintenance after each fault of parts or replacing processes,
Therefore for specific parts, nsIt is considered a definite value.
Described fault message output module is for fault message Query Result and calculating and the result of decision
Output；This module mainly realizes failure information system Query Result or calculates and the output of the result of decision.
Described statistical analysis module includes that fault data statistical module, fault rate analyze module, FMECA divides
Analysis module and maintenance decision analyze module；
Described fault data statistical module includes the inquiry of fault data statistical information and fault data statistics letter
Breath operation,
Described fault rate is analyzed module and is included that fault rate inquiry, fault rate calculate and bathtub curve analysis,
Described FMECA analyzes module and includes that railcar FMEA analyzes and railcar CA analyzes,
Described maintenance decision is analyzed module and is finally drawn maintenance decision strategy.
Described fault message is divided into each blockette and stores, including fault essential information, inspection
Repair personal information, train essential information, train system information, train overhaul information, FMEA information with
And CA information；Total framework and the sub-information module of fault message are connected by numbering opening relationships, in event
In the total framework of barrier information, can be obtained in sub-information module by the numbering retrieving each sub-information module
Specifying information；Fault essential information numbering, train essential information numbering, maintainer's information encoding,
Train system information encoding, train overhaul information encoding, FMEA information encoding, CA information encoding, as
Shown in Fig. 4.
Described fault essential information includes that fault occurs date, time, failure-description etc.,
Described maintainer's information includes Trouble Report people, troubleshooting people etc.,
Described train essential information includes the current distance travelled of train number, train, train maintenance last time
Grade, train currently overhaul grade etc.,
Described train system information includes the essential information of each system, parts or subassembly, and each is
System, parts or the fault rate information etc. of subassembly,
Described train overhaul information includes the date and time etc. changed component information, overhauled,
Described FMEA information includes fault mode, impact analysis,
Described CA information includes fault harm degree analysis.
The inquiry of described fault data statistical information is capable of the fault to different system, parts or subassembly
The inquiry of frequency information, and draw bar shaped statistical chart, thus judge each system, parts or son
The relative frequency size of component malfunction, provides foundation for maintenance decision analysis.
Fault data statistical information operation in described fault data statistical module includes that fault message is added up
With interpolation fault statistics object.
Described fault rate analyzes the fault rate calculating in module can be real to each system, parts or sub-portion
The point estimation of part fault rate on different traffic coverage mileages is worth inquiry, it is achieved to new typing fault
The process of data also calculates fault rate, draws bathtub curve and provides foundation for Analysis of Policy Making.
Described railcar FMEA analyzes and includes failure mode analysis (FMA), failure reason analysis, fault impact
With severity analysis, fault detection method analysis and fault correction measures analysis.
Described railcar CA analyzes and includes that density of infection calculates and analyze and build density of infection matrix judgement mark
Accurate.
Described user management module include user profile inquiry, user's registration management, for rights management and
User cipher manages；
Described system maintaining module includes system data back-up and system data reduction；
Described help module includes System Privileges explanation, function operation instruction and about us.
Described information management module includes the input of fault message, stores, updates and export, and specifically wraps
Include following steps:
Step 1: user passes through account name and password login fault information management system；
Step 2: user is according to system failure MIM message input module input fault information；In the process,
Fault message input module will transfer every prestored message from the database of fault message memory module,
Provide the user option；
Step 3: when user is carrying out when the filling in of a certain content of fault message, if the letter now filled in
Breath mates with the fault message of fault message memory module, then user can complete in this by choosing
The input held, otherwise needs self-defined fault message to improve this content；
Step 4: when user completes after fault message inputs and submit to, and fault message identification module will be to this
Fault message is identified, it is determined that this fault message is in the fault stored of fault message memory module
Whether information exists, if not existing, then by fault message more new module directly by this fault message
It is stored in fault message memory module, directly updates existing fault message；
Step 5: owing to the addition of new fault message, the calculating in information management module and decision-making module
CA will be recalculated, and updated the CA letter in fault message memory module by fault message more new module
Breath, so far fault information management system completes the storage of fault message.
Described statistical analysis module comprises the following steps:
Step 1: user passes through account name and password login fault information management system；
Step 2: user uses the inquiry input of fault data statistical information to need the FMECA information of inquiry,
Fault message identification module is according to the fault letter in the Query Information inquiry fault message memory module of input
Breath, inquiry FMEA information and then inquiry CA information；
Step 3: if the result of inquiry exists, fault message output module input FMECA information, otherwise
Prompting user's Query Information does not exists, and needs re-enter querying condition or abandon inquiry.
Step 4: after fault message output module input FMECA information, user can set analysis condition
Proceed by computational analysis, if computational analysis is obtained a result, then output Calculation results and decision-making
Result；If computational analysis makes mistakes, need analysis condition is provided again or abandons analyzing.
The present invention can be the most complete vehicle-state maintenance decision-making system.Realize fault message typing, event
Barrier data statistics and analysis, fault rate calculate and bathtub curve output, important zero of each critical system
The functions such as the FMECA analysis of part, State Maintenance judgement.So far, domestic metro project is comprehensively tieed up
The construction repairing KXG is in the starting stage.Owing to there is no suitable system to substantial amounts of event
Barrier data carry out collecting, trend analysis, it is impossible to meet being actually needed of domestic vehicles and maintenance of equipment,
Cause technical staff and lack accurate failure predication foundation, the not science of management, the randomness of flow process.
Vehicle-state maintenance decision-making system will be developed under windows environment, use Client/Sever
System architecture, using Visual studio as development platform, using C# as development language, with SQL
Server is as background data server.Vehicle-state maintenance decision-making system is broadly divided into user and manages mould
Block, information management module, statistical analysis module, system maintaining module and help part.This system
Mainly realizing the standardized management to vehicle field data, the mining analysis of field data, judgement set
Standby part reliability state, to form preliminary decision-making, improves car inspection and repair reasonability.
As it is shown on figure 3, the basic flow sheet of railcar fault information management system of the present invention exploitation,
This flowchart illustrates the input data required for whole system exploitation, FMEA and CA analytical procedure, be
The organizational process of each functional module of uniting and the final output result of system, below in conjunction with Fig. 1 to respectively opening
Send out step to explain:
Step 1: be ready for data, i.e. collects the detailed technology data about railcar, check man
Guide, the historical failure information etc. of this model railcar of on-the-spot record, and to these technical data
Arrange and analyze, it is therefore an objective to each several part about railcar is formed substantially, functions
Principle, the maintenance mode of each several part, time between overhauls(TBO), the scope of repair, maintenance corner etc. have deep recognizing
Know, simultaneously by the finishing analysis to railcar historical failure information, for the FMECA of railcar
Analysis lays the foundation.
Step 2: railcar is carried out FMEA qualitative analysis, mainly according to step 1 to input money
The finishing analysis of material, determines each definition forming system to railcar, and determines each composition system
Minimum indenture level；List each composition system minimum indenture level fault mode that may be present；Row
Go out to cause every failure cause of every fault mode；List what every fault mode may cause
Impact (includes the impact running train main track and the infringement causing train system or equipment), and
According to related definition, determine the severity grade of every fault mode；It is listed in Current vehicle section to be equipped with
Under conditions of, the detection mode of every fault mode；List the fault caused for different faults reason
The correction processing mode of pattern.
Step 3: to railcar on the basis of FMEA qualitative analysis, to the ground arranged in step 1
Iron vehicle historical failure information carries out statistics and quantitatively calculates with CA, and according to the quantitative result of calculation of CA,
Every fault mode density of infection of each system is carried out grade classification, in conjunction with density of infection trip current, structure
Build fault mode density of infection matrix criterion.
Step 4: build the fault message memory module of fault information management system, including FMECA information
Database and other information databases, wherein FMECA database is the core of information system of the present invention
Part, builds according to the FMECA analysis result obtained by step 2 and step 3, is mainly used in
Realizing the FMECA procedure to fault message to process, other information databases are for storage and fault
Other information that information is associated.
Step 5: build the fault message input module of fault information management system, fault message identification mould
Block, fault message more new module, analysis and decision-making module, fault message output module.
Step 6: system failure message output module exports looking into of fault message by system foreground to user
Ask result or FMECA analysis decision result.
As shown in Figure 4, invention railcar fault information management system fault message memory module data
Library structure relational design figure, illustrates fault message memory module database structurally below in conjunction with Fig. 4
Physical relationship form:
1) fault message memory module database uses database relation model to be designed.
2) fault message is divided into the blockette of several part and stores, and substantially believes including fault
Breath, train essential information, maintainer's information, train system information, train overhaul information, FMEA
These sub-information modules of information, CA information.
3) total framework and the sub-information module of fault message is connected by numbering opening relationships, believes in fault
Cease in total framework, by the numbering retrieving each sub-information module can obtain in sub-information module concrete
Information.
4) in the total framework of fault message during the information of FMEA message sub-module to be inquired about, it is necessary to first lead to
Cross train system information encoding and enter in train system message sub-module, at train system message sub-module
In inquire the FMEA information encoding of correspondence after could enter and FMEA message sub-module inquires specifically
FMEA information.
5) in the total framework of fault message during the information of CA message sub-module to be inquired about, then must first hold
Row 4), after entering FMEA message sub-module, inquire the CA letter of correspondence at FMEA message sub-module
Could enter after breath numbering and CA message sub-module inquires concrete CA information.
As it is shown in figure 5, at railcar fault information management system fault message storage service of the present invention
Reason flow chart, illustrates fault information management system fault message storage service of the present invention below in conjunction with Fig. 5
Handling process:
Step 1: user passes through account name and password login fault information management system.
Step 2: the fault message that user provides at interface, foreground according to system failure MIM message input module is defeated
Enter prompting, by default FMECA flow processing mode, be gradually completing every input of fault message
Content；In the process, fault message input module is by from the database of fault message memory module
Transfer every prestored message, provide the user option so that the tissue of fault message and input standardization.
Step 3: when user is carrying out when the filling in of a certain content of fault message, if the choosing that system provides
Item and current failure information matches, then user is by choosing the input that can complete this content, otherwise,
Need this content of the self-defined fault message of rule arranged by system.
Step 4: when user completes fault message input and after system is submitted to, system failure information identification
Fault message will be identified by module, it is determined that maintainer's information, train essential information, train system
Whether system information, FMEA information exist in the correspondence database of fault message memory module, if not depositing
, the most directly store fault message, otherwise also need to by system failure information updating module more cenotype
The database information answered.
Step 5: after system failure system memory module has stored fault message, owing to system with the addition of
New fault message, the system failure is calculated and will recalculate CA with decision-making module and be believed by the system failure
Ceasing more new module and update CA database, so far fault information management system completes fault message storage industry
The process of business.
As shown in Figure 6, railcar fault information management system FMECA information inquiry of the present invention with point
Analysis decision business process chart, illustrates fault information management system FMECA of the present invention below in conjunction with Fig. 6
Information inquiry and analysis decision business processing flow:
Step 1: user passes through account name and password login fault information management system.
Step 2: the FMECA information that user provides at interface, foreground according to system failure MIM message input module
Querying condition hurdle input FMECA querying condition, system failure information identification module is by looking into according to input
Ask the database of condition query system failure information storage module, inquiry FMEA information and then inquiry CA
Information.
Step 3: if the result of inquiry exists, then system failure message output module input FMECA information,
Otherwise promote user's Query Information not exist, need re-enter querying condition or abandon inquiry.
Step 4: user provides analysis to set prompting according to system failure input module at interface, foreground, if
Setting analysis condition also performs analysis, calculates the analysis condition set according to user with decision-making module and counts
Calculating, will be tied by system failure message output module input Calculation results and decision-making if calculating parsing
Really, the information inquiry of system FMECA completes with analysis decision business；Otherwise, prompting customer analysis is made mistakes,
Need to reset analysis condition.
The above is only the preferred embodiment of the present invention, it should be pointed out that: for the art
For those of ordinary skill, under the premise without departing from the principles of the invention, it is also possible to make some improvement
And retouching, these improvements and modifications also should be regarded as protection scope of the present invention.
Claims (10)
1. a railcar fault information management system based on FMECA, it is characterised in that: include user management module, information management module, statistical analysis module, system maintaining module and help module,
Described information management module includes fault message memory module, fault message input module, fault message identification module, fault message more new module, calculates and decision-making module and fault message output module；
All fault messages that described fault message memory module associates with fault phase for storage；
Described fault message input module is stored in the information in fault message memory module for retrieval；
Described fault message identification module, for identifying whether the fault message of input exists, if the fault message of input does not exists, needs more fresh information；
Described fault message updates mould and is used for adding renewal fault message；
Described calculating and decision-making module are for adding up the fault message of each system, parts or subassembly, calculate each system, parts or the subassembly fault rate in each distance travelled interval of train, calculate its various faults affects probability, frequency ratio and density of infection, and realizes the renewal of fault message；
Described fault message output module is for fault message Query Result and the output calculated with the result of decision；
Described statistical analysis module includes that fault data statistical module, fault rate analyze module, FMECA analyzes module and maintenance decision analyzes module；
Described fault data statistical module includes that the inquiry of fault data statistical information and fault data statistical information operate,
Described fault rate is analyzed module and is included that fault rate inquiry, fault rate calculate and bathtub curve analysis,
Described FMECA analyzes module and includes that railcar FMEA analyzes and railcar CA analyzes,
Described maintenance decision is analyzed module and is finally drawn maintenance decision strategy.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterized in that: described fault message is divided into each blockette and stores, including fault essential information, maintainer's information, train essential information, train system information, train overhaul information, FMEA information and CA information；Total framework and the sub-information module of fault message are connected by numbering opening relationships, in the total framework of fault message, can obtain the specifying information in sub-information module by the numbering retrieving each sub-information module.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterized in that: the inquiry of described fault data statistical information is capable of the inquiry of the fault frequency information to different system, parts or subassembly, and draw bar shaped statistical chart, thus judge the relative frequency size that each system, parts or subassembly break down, provide foundation for maintenance decision analysis.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterised in that: the fault data statistical information operation in described fault data statistical module includes fault message statistics and adds fault statistics object.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterized in that: described fault rate is analyzed the fault rate in module and calculated and the point estimation of fault rate on different traffic coverage mileages of each system, parts or subassembly can be worth reality inquiry, realize the process to new typing fault data and calculate fault rate, drawing bathtub curve and provide foundation for Analysis of Policy Making.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterised in that: described railcar FMEA analyzes and includes failure mode analysis (FMA), failure reason analysis, fault impact and severity analysis, fault detection method analysis and fault correction measures analysis.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterised in that: described railcar CA analyzes and includes that density of infection calculates and analyzes and builds density of infection matrix criterion.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterised in that: described user management module includes user profile inquiry, user's registration management, manages for rights management and user cipher；
Described system maintaining module includes system data back-up and system data reduction；
Described help module includes System Privileges explanation, function operation instruction and about us.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterised in that: described information management module includes the input of fault message, stores, updates and export, and comprises the following steps:
Step 1: user passes through account name and password login fault information management system；
Step 2: user is according to system failure MIM message input module input fault information；In the process, fault message input module, by transferring every prestored message from the database of fault message memory module, provides the user option；
Step 3: when user is carrying out when the filling in of a certain content of fault message, if the information now filled in is mated with the fault message of fault message memory module, then user is by choosing the input that can complete this content, otherwise needs self-defined fault message to improve this content；
Step 4: when user completes after fault message inputs and submit to, this fault message will be identified by fault message identification module, judge whether this fault message exists in the fault message stored of fault message memory module, if not existing, then directly this fault message is stored in by fault message more new module fault message memory module, directly updates existing fault message；
Step 5: owing to the addition of new fault message, calculating in information management module and decision-making module will recalculate CA, and update the CA information in fault message memory module by fault message more new module, so far fault information management system completes the storage of fault message.
Railcar fault information management system based on FMECA the most according to claim 1, it is characterised in that: described statistical analysis module comprises the following steps:
Step 1: user passes through account name and password login fault information management system；
Step 2: user uses the inquiry input of fault data statistical information to need the FMECA information of inquiry, and fault message identification module is according to the fault message in the Query Information inquiry fault message memory module of input, inquiry FMEA information and then inquiry CA information；
Step 3: if the result of inquiry exists, fault message output module input FMECA information, otherwise prompting user's Query Information does not exists, and needs re-enter querying condition or abandon inquiry；
Step 4: after fault message output module input FMECA information, user can set analysis condition and proceed by computational analysis, if computational analysis is obtained a result, then output Calculation results and the result of decision；If computational analysis makes mistakes, need analysis condition is provided again or abandons analyzing.
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| CN109740772A (en) * | 2019-01-09 | 2019-05-10 | 昆山高新轨道交通智能装备有限公司 | Railroad train Measuring error analysis method based on big data |
| CN110531608A (en) * | 2019-07-29 | 2019-12-03 | 华东计算技术研究所（中国电子科技集团公司第三十二研究所） | High-reliability electronic equipment quantitative FMECA analysis method and system based on redundancy design |
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| CN110941255A (en) * | 2019-12-05 | 2020-03-31 | 中国航发贵阳发动机设计研究所 | Fault information management system |
| CN110941255B (en) * | 2019-12-05 | 2023-11-24 | 中国航发贵阳发动机设计研究所 | Fault information management system |
| CN111709124A (en) * | 2020-05-26 | 2020-09-25 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Product FMECA analysis method, product FMECA analysis device, computer equipment and storage medium |
| CN111709124B (en) * | 2020-05-26 | 2024-03-29 | 中国电子产品可靠性与环境试验研究所（（工业和信息化部电子第五研究所）（中国赛宝实验室）） | Product FMECA analysis method, device, computer equipment and storage medium |
| CN111667392A (en) * | 2020-06-12 | 2020-09-15 | 成都国铁电气设备有限公司 | Railway contact net defect hot spot area early warning method based on space-time clustering |
| CN112307132A (en) * | 2020-10-29 | 2021-02-02 | 上海岱宗检测技术有限公司 | FMEA database system |
| CN112307132B (en) * | 2020-10-29 | 2023-11-07 | 上海岱宗检测技术有限公司 | FMEA database system |
| CN113361858A (en) * | 2021-05-10 | 2021-09-07 | 上海工程技术大学 | Vehicle state evaluation method and system based on rail transit vehicle fault data |
| CN113408078A (en) * | 2021-07-14 | 2021-09-17 | 北京广利核系统工程有限公司 | Control system analysis method and device |
| CN113607441A (en) * | 2021-08-24 | 2021-11-05 | 湖南工业大学 | Universal intelligent operation and maintenance system and method for flexible variable maintenance process of high-speed train |
| CN113988542A (en) * | 2021-10-08 | 2022-01-28 | 广州运达智能科技有限公司 | Method and system for evaluating main line fault of urban rail train |
| CN113988542B (en) * | 2021-10-08 | 2023-12-19 | 广州运达智能科技有限公司 | Method and system for evaluating urban rail train positive line fault |
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