CN103530715A - Grid management system and grid management method of high-speed railway train operation fixed equipment - Google Patents
Grid management system and grid management method of high-speed railway train operation fixed equipment Download PDFInfo
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Abstract
The invention relates to a grid management system and a grid management method of high-speed railway train operation fixed equipment. Primarily, a grid management system of train operation fixed equipment is constructed on the basis of the conventional professional management information systems such as public service, electric service and traction power supply of the high-speed railway train operation fixed equipment; the high-speed railway line is divided into a plurality of grid units according to a certain standard; the equipment state is more completely and more timely sensed by using a modern information technology and a coordination mechanism, more complete equipment state information interconnection and intercommunication are realized, and the equipment repair decision is more intelligently made to finally achieve the purposes of guaranteeing the operation safety, scientifically controlling the operation risk, integrating the maintenance resources, reducing the repair cost and improving the management efficiency.
Description
Technical field
The present invention relates to railway equipment management, particularly relate to high-speed railway driving fixed equipment gridding management system and management method.
Background technology
(1) feature of high-speed railway driving fixed equipment
1) high-speed railway driving fixed equipment technical characterstic
High-speed railway driving fixed equipment mainly refers to permanent way equipment, electric business equipment, and traction power supply equipment.These equipment are bases of whole high ferro technological system.Their common feature is that locus is fixed, combines together with geographical environment around, and most of personalized customization, the variation of state is inseparable with geographical environment.
(A) device intelligence degree significantly improves
The latest technological achievements of the multiple ambits such as the design of high-speed railway driving fixed equipment relates to material, processing, construction, measurement, control with manufacture, communicates by letter, computing machine, the intelligent degree in equipment itself and equipment Manufacture Process significantly improves.
(B) the multi-specialized device height such as work business, electricity business, traction power supply are associated
Work business, electricity business and three specialty driving fixed equipments of traction power supply are all distributed in High Speed Railway curb line and station, in locus, structure forms and logical relation co-relation is close, the different angles such as equipment state when, design integrated from high speed rail system, construction, operation and maintenance of equipment, have height relevance between different majors equipment.
2) the deteriorated feature of high-speed railway driving fixed equipment
High-speed railway driving fixed equipment deteriorated has following characteristics:
(A) typical bathtub curvilinear characteristic
The crash rate of railways train operation fixed equipment has typical tub curve feature.After a newly built railway construction completes, in the joint-trial uniting and adjustment stage, in a large amount of problem sets, occur, railway construction department and operation department are through the break-in between debugging, repairing, different system, by joint-trial uniting and adjustment and the trial run of some cycles, equipment performance is settled out, transfer to operation department formally to run.Equipment state is under the effect of the many factors such as the weight of train, speed, density afterwards, and state will be progressively deteriorated.
(B) Memorability feature
The deteriorated Memorability of driving fixed equipment state shows two aspects: (a), for a certain driving fixed equipment, the deterioration state in its past can affect its current state, and the variation of to-be.(b) for a certain driving fixed equipment, the state after its repairing in time degradation curve is very similar to the degradation curve before repairing, and the deteriorated rule of this fixed equipment state further shows as periodically.
(C) periodic feature
Driving fixed equipment state deteriorated Memorability, has caused the periodicity of its deteriorated rule, shows between adjacent maintenance, and the deteriorated rule of its equipment state has similarity, and its maintenance intervals is also roughly the same simultaneously, has periodic feature.Particular device in particular spatial location is deteriorated to be had periodically, the equipment in different spatial, and its deteriorated periodicity is often different.
(D) linkage feature
Due to the technical characterstic of the multi-specialized device height associations such as high-speed railway work business, electricity business, traction power supply, high-speed railway is driven a vehicle, and fixed equipment state is deteriorated has a linkage.Show, the deterioration process between each professional equipment of same mileage position (or within the scope of same mileage) is interactional.If disease or defect appear in one of them equipment, tend to cause relative equipment and occur disease or defect.Deteriorated linkage and the equipment locus of living in of high-speed railway driving fixed equipment state is closely related.
(E) heterogeneity
High-speed railway driving fixed equipment state is subject to geogen, Transportation Organization factor, design and manufacture factor, supports the impact of repairing the many factors such as management factors, and geogen often has decisive action.This has caused the equipment of one species to be in different spatial having different deteriorated rules, the deteriorated heterogeneity of driving fixed equipment state that Here it is, above-mentioned influence factor be called driving fixed equipment deteriorated heterogeneous factor.Need to carry out personalized modeling to the deteriorated rule of equipment state.
(2) feature of high-speed railway driving fixed equipment management
At present, the management of high-speed railway driving fixed equipment has following characteristics:
1) management of high-speed railway driving fixed equipment is that division of labor business, electricity business and three specialties of traction power supply manage in organizational structure.
2) three specialties are independently built respectively work business management information system, the electricity business agrment information system traction power supply management information system of unifying, its principal feature examination realizes the digitizing of the day to day operation activities such as device data acquisition operation stage, statistical report form, lacks the depth analysis to equipment state Changing Pattern.
3) on maintenance mode, followed the maintenance mode of general fast railway " fault is repaiied "+" cycle repaiies ".
Traditional railway equipment management mode can not adapt to the managerial demand of high-speed railway, and the management of high-speed railway driving fixed equipment faces following challenge:
1) management expectancy of high repairing standard, high stability, high reliability
High-speed railway driving fixed equipment is repaired the more general fast railway of standard and is improved largely, and is embodied in two aspects: more general fast circuit, and driving fixed equipment state deviation permissible range is less, and maintenance fine degree improves a lot; Division for driving fixed equipment state grade is meticulousr, manages stricter.
High-speed railway has the features such as speed is high, density is large, mainly take passenger traffic as main, its shipping mass characteristic is more complicated more various than freight transportation, any one link is all directly connected to the people's life security, safety management of traffic requires more general fast railway to increase substantially, and requires to have high stability, high reliability.
2) regulatory requirement of the preventative maintenance based on equipment state
Due to the requirement of high-speed railway high security, traditional " fault is repaiied "+" cycle repaiies " maintenance mode can not meet the managerial demand of driving fixed equipment, and preventative maintenance is that high-speed railway equipment is supported the inevitable choice of repairing.But the challenge that realizes preventative maintenance is timely perception, Accurate Prediction, rapid reaction to equipment state.
Grasping the deteriorated rule of equipment state is the basis of the plan of preventative maintenance, by the prediction fixed equipment state of driving a vehicle, where grasp equipment that those states are becoming " bad ", there is any problem, adopt preventive maintenance plan substitute by the time carry out should acute maintenance plan, guarantee " zero error, zero-fault, zero failure ", accomplish neither superfluous repairing not again in bad repair, avoid the blindness in maintenance, guarantee that equipment is all the time in reliable slave mode.
Preventative maintenance needs apparatus for establishing Life cycle Life Prediction Model.For each specialty driving fixed equipment, setting up the requirement that unique separately Life cycle Life Prediction Model is the deteriorated heterogeneity of driving fixed equipment state, is the key point that realizes " pre-prevent revisionism ", " accurately repairing " and " accurately repairing ".Only have and grasped life period of an equipment Life Prediction Model and just can make the repair scheme of economical rationality, according to the careful repairing of set standard, guarantee both quality and quantity.
What " life period of an equipment Life Prediction Model " stressed is the prediction to equipment residual life; What " the deteriorated rule of equipment state " stressed is the grasp to equipment state degradation trend.But both have again mutual contact aspect a lot, as set up " life period of an equipment Life Prediction Model ", be the one side of grasping " the deteriorated rule of equipment state ".
How the creationary life-span to high-speed railway driving fixed equipment is predicted, is the significant challenge of high-speed railway management of preventive maintenance.
3) requirement of multi-specialized centralized maintenance
Because the height of high-speed railway is repaired standard, high stability and high reliability request, and the height linkage technical characterstic between equipment, traditional maintenance mode has been not suitable with the maintenance requirements of high-speed railway, need to adopt multi-specialized centralized maintenance pattern.But, realize the transformation from traditional minute professional maintenance model to multi-specialized comprehensive maintenance pattern, there is following challenge:
The multi-specialized infrastructure maintenance of high-speed railway system need to re-start business process reengineering.The requirements of process of high ferro maintenance business redesigns, and organizational structure need to adjust accordingly.Check process need to be considered Integrated Checkout, and equipment state analysis process need be considered multi-specialized equipment complex evaluation, repairs flow process and need set up multi-specialized coordination system etc.
Concentrate and to repair the journey of repairing that needs Erecting and improving to meet China railways feature and repair the rules and regulations such as system; The analysis tool of foundation to multi-specialized equipment complex state-evaluation; Concentrate repair be each specialties such as work business, electricity business, power supply under unified maintenance skylight, complete maintenance task, therefore need how jointly definite method of keeping in repair section of research.
In addition, the equipment state of high-speed railway different majors is deteriorated is subject to geogen, Transportation Organization factor, design and manufacture factor, foster impact of repairing the multiple heterogeneous factors such as management factors, and geogen often has decisive role.Even this has caused each professional equipment one species, but be in different spatial, therefore its deteriorated rule is different, simultaneously, the multi-specialized device height associations such as the business of high-speed railway work, electricity business, traction power supply, the deterioration process between each professional equipment of same mileage position (or within the scope of same mileage) is interactional.
Meanwhile, how based on locus, the state of different majors variety classes equipment being carried out to comprehensive evaluation is also the new challenge that high ferro maintenance management faces.
Summary of the invention
For above the deficiencies in the prior art, fundamental purpose of the present invention is to build one towards the decision support system (DSS) of high-speed railway driving fixed equipment management, i.e. high-speed railway driving fixed equipment gridding management system on the specialized management infosystem bases such as the existing work business of high-speed railway driving fixed equipment, electricity business and traction power supply.A kind of new high-speed railway driving fixed equipment management method has been proposed simultaneously, i.e. high-speed railway driving fixed equipment gridding management method.
The present invention mainly solves following technical matters:
(1) collection, management, integration and the visual sharing problem of high-speed railway driving fixed equipment Life cycle status information
The present invention proposes comprehensive collecting device Whole life period design, the status information of the different phases such as construction and operation, adopt the high-speed railway unit grid of life period of an equipment, parts, event code method, status information of equipment is carried out to code Design, based on data warehouse technology, build high-speed railway driving fixed equipment integrated data base, realize the spatial data of high-speed railway driving fixed equipment status data and the integrated storage administration of attribute data, based on unit grid, set up grid and grid, grid and parts, grid and event, parts and event, incidence relation between event and event, realize the integration of device status data, adopting WebGIS technology to realize the visual of status information of equipment shares.
(2) the state evaluation problem of high-speed railway driving fixed equipment based on space
The present invention is according to high-speed railway driving fixed equipment feature, by the high-speed railway circuit to continuous, divide some elementary cell grids, for unit grid, set up state evaluation index system, angle from space, rather than from professional angle, equipment state in grid is carried out to overall assessment, realize the fine-grained management of equipment state.
(3) the personalized modeling problem of high-speed railway driving fixed equipment state variation rule
The present invention is according to the geospatial feature of high-speed railway driving fixed equipment, and each equipment has its unique equipment state Changing Pattern feature and lifetime change law characteristic, large data characteristics based on high-speed railway driving fixed equipment status data, proposition, based on unit grid (locus), adopts large data technique equipment state Changing Pattern to be carried out to the method for personalized modeling.
(4) technical matters of high-speed railway driving fixed equipment equipment disease (fault) diagnosis and device security risk identification.
The present invention is according to high-speed railway driving fixed equipment feature, spacial analytical method has been proposed for high-speed railway driving fixed equipment disease (fault) diagnosis, propose based on fault diagnosis result, equipment state Changing Pattern model and equipment life the distributed model regularity of distribution for the identification of security risk source.
Object of the present invention is achieved through the following technical solutions:
High-speed railway driving fixed equipment gridding management system, this management system comprises:
Railways train operation fixed equipment data acquisition module, the status data producing in design, construction, each stage of operation Life cycle for gathering high-speed railway driving fixed equipment;
Data Storage, for carrying out spatial data and attribute data integrated management to the data of described data collecting module collected;
Application system, for integrating and shared, equipment state evaluation, modeling and forecasting and decision support the device status data of described Data Storage storage.
Described application system comprises:
Electronics library query analysis unit, for the visual query to device history status information and current device status information, in realization construction and management process, status information of equipment reviews;
Equipment state analyzing evaluation unit, for carrying out analyzing evaluation to equipment and trellis state;
Equipment state modeling and forecasting unit, for carrying out personalized modeling and status predication to equipment state Changing Pattern;
Auxiliary management decision package, for the decision support of Condition Detection, equipment fault diagnosis, equipment state safe early warning and equipment repair plan establishment.
High-speed railway driving fixed equipment gridding management method, this management method comprises:
1) high-speed railway circuit is carried out to unit grid division, and the driving fixed equipment of different majors is carried out to parts definition, railway component attribute information is carried out to event definition;
2) according to grid, parts and the event of dividing, set up the attribute data standard of grid, parts and event, gather the status data information that driving fixed equipment produced in design, construction, each stage of operation Life cycle;
3) status data each stage of described Life cycle being produced carries out Life cycle information coding;
4) data after information coding are carried out to space and the storage of attribute integration data, realize interconnecting between data;
5) data of described storage administration integrated and shared;
6) according to the data of described storage administration, unit grid is set up to state evaluation index system, from the angle in space, the equipment state in grid is carried out to overall assessment;
7) according to the data of described storage administration, adopt large data technique to carry out the personalized modeling of equipment state Changing Pattern, find out unique Changing Pattern of equipment state in different spatial, for Condition Prediction of Equipment;
8), according to the data of described storage administration, carry out equipment fault diagnosis and security risk identification.
Described unit grid division refers to divides from the enterprising line of length road railway, and railways train operation equipment is carried out to grid division from space.
Described attribute data standard refers to from space characteristics, thematic feature and temporal characteristics aspect carries out data definition and division to the data message of grid, equipment and event.
Described Life cycle information coding comprises the coding of the coding of grid, the coding of equipment and event, adopt parts dimension, event dimension, 4 dimensions of geographical space peacekeeping life period of an equipment dimension to encode, being encoded to of described grid: line name code+row name code+position code+sequence code, being encoded to of described equipment: the little category code+sequence code of the large category code+equipment of grid coding+equipment, being encoded to of described event: the little category code+sequence code of the large category code+event of device coding+event.
Data carried out to Data Integration refer to sharing in described step 5, from space, the equipment dimension different with event, to a certain place, equipment, in the time, in different driving fixed equipment lifecycle process, relate to, build and run the status data information that three different phases produce and integrate.
Described grid cell is divided and is adopted 200m length circuit as basic grid unit.
Described personalized modeling is that each equipment is set up separately to model, and model comprises driving fixed equipment state variation rule model and life distribution law model.
Described equipment fault diagnosis and security risk identification comprise: analytical equipment disease failure cause, discovering device fault signature and fault mode, according to the health status of current device and grid and variation characteristic, find device security risk source, carry out security risk evaluations, realize equipment state safe early warning.
The invention has the advantages that:
(1) native system has formed a kind of new management method---the gridding management method of high-speed railway driving fixed equipment management, gridding management has been emphasized to understand equipment, assurance equipment from the angle of locus, carry out the modeling of personalized analysis, personalization, personalized management, can assist supvr to realize the fine-grained management of equipment.
(2) native system is by the division to high-speed railway unit grid, the status data of the life period of an equipment different phases such as collecting device design comprehensively, construction and operation, the coding of unifying to carry out Life cycle based on unit grid, adopt the integrated storage and management of spatial data and attribute data, realize the integrated, shared of information and integrate, unit grid is the tie that information is integrated, longitudinally the upper information by construction and operation connects, transversely the status information of equipment of different majors is associated, occur associated with geographical environment information simultaneously.
(3) native system carries out the personalized modeling of high-speed railway equipment state Changing Pattern based on large data technique, the deteriorated feature that meets high-speed railway driving fixed equipment, more meet objective reality, the equipment control decision-makings such as the Condition Detection carrying out based on this, equipment disease (fault) diagnosis, equipment state safe early warning, equipment repair plan establishment are more meaningful.
Accompanying drawing explanation
Fig. 1 High-speed Railway Network grid management infosystem forms structure principle chart;
Fig. 2: application system functional structure chart;
Fig. 3: gridding management flow chart;
Fig. 4: the four-dimensional view model of life period of an equipment;
Fig. 5: the coding structure figure of grid;
Fig. 6: the coding structure figure of equipment;
Fig. 7: the coding structure figure of event;
Fig. 8: the integrated storage administration structural drawing of spatial data and attribute data;
Fig. 9: the Data Integration based on unit grid
Figure 10: Ningbo-Hangzhou high ferro grid is divided Local map;
Figure 11: the main surface chart of electronics library module;
Figure 12: network analysis homepage;
Figure 13: grid reliability index and maintenance cycle prediction interface.
Embodiment
Below in conjunction with accompanying drawing, the present invention is described in detail, an object of the present invention is to provide a kind of High-speed Railway Network grid management infosystem, is illustrated in figure 1 High-speed Railway Network grid management infosystem and forms structure principle chart.The present invention mainly comprises hardware environment, software environment, data acquisition module, data storage management and application system five parts.
1) hardware environment
System hardware environment comprises network environment, server end, client three parts.
A) network environment is railway Office Network;
B) server end hardware comprises database server, application server and disk array;
C) client hardware is PC or the panel computer of access railway Office Network.
2) software environment
System software environment comprises database server platform software and applied server platform software.
3) high-speed railway travelling facility status data acquisition module
High-speed railway driving fixed equipment mainly refers to permanent way equipment, electric business equipment, and traction power supply equipment, the status data that the main collecting device of data acquisition module produced in each stage of the Life cycle such as design, construction, operation.Life period of an equipment management is the actual operation policy according to enterprise, from the investigation of equipment, start with, the planning of production equipment, design, the overall process manufacturing, choose, install, use, keep in repair, transform, upgrade until scrap are managed, correspondingly carry out the general name of a series of technology, economy and organization and administration activity.The data of design, construction period mainly comprise that equipment, at the status data of design, construction period, also comprises the joint-trial uniting and adjustment in later stage construction period and the device status data in final acceptance of construction period.The status data of operation stage is mainly derived from the various production management systems that the railway system is being used, such as work business management information system, electricity business management information system, traction power supply management information system, dispatching and command system etc., these production system acquisition and recordings grid, parts, event in the various dynamic attribute data of operation stage.
This data acquisition module provides the status information of equipment collection of four kinds of modes:
A) set up data-interface, Real-time Obtaining driving fixed equipment status data with the high-speed railway driving fixed equipment state collecting device of various employing Internet of Things and Sensor Network technology.
B) data-interface of foundation and various production management systems, obtains equipment dynamic attribute information.
C) provide the client transmissions instrument of history data file, by Network Capture data file.
D) provide the data typing instrument of standalone version, subscriber's local recording device status attribute information, forms Microsoft Excel, then upload server, carries out data loading.
4) Data Storage
Data Storage mainly adopts geographic information system technology, data warehouse technology and metadata technique to realize equipment in spatial data and the attribute data integrated management of the Life cycle status datas such as design, construction, operation.
5) applied systems unit
As shown in Figure 2, application system is divided into electronics library query analysis, equipment state analyzing evaluation, equipment state modeling and forecasting and auxiliary management decision-making support four module.
A) electronics library query analysis module provides the integrated retrieval query function of status information of equipment, realizes the visual query to device history status information and current device status information, and in realization construction and management process, status information of equipment reviews.
Electronics library query analysis module provides the query functions such as line facility synthesizing map, the inquiry of equipment base attribute, equipment tabulate statistics inquiry, completion information, multi-medium data, problem base, by facility information and problem base information, repair message, comprehensively, in line facility synthesizing map, provide the convenient mode of visual query intuitively.
B) equipment state analyzing evaluation module
First, based on the up-to-date detection data of equipment, carry out equipment state evaluation and trellis state evaluation.
Secondly, from different dimensions such as circuit, kilometer, grid, parts, event, work area ,Duan He road bureaus, equipment health status and grid health status are carried out to comprehensive statistics analysis, search the weak link of driving fixed equipment management.
C) equipment state modeling and forecasting module
Adopt large data technique to build equipment state variation model and Lifetime Distribution Model for single driving fixed equipment.
On equipment state variation model and Lifetime Distribution Model basis, equipment state is predicted and maintenance cycle prediction.
D) auxiliary management decision-making module
The decision support functions such as Condition Detection, equipment (fault) diagnosis, equipment state safe early warning, equipment repair plan establishment are provided.
Another object of the present invention is to provide a kind of management method of high-speed railway driving fixed equipment, utilize modern information technologies and the coordination system, more thoroughly, carry out more timely equipment state perception, realizing more fully status information of equipment interconnects, more wisdom carry out equipment repair decision-making, finally to reach, ensure that operation security, science control operations risks, integrate Maintenance Resource, reduce maintenance cost, improve the modernized railway equipment Managing Model of the efficiency of management.
Be illustrated in figure 3 gridding information management method process flow diagram, the basic step of gridding management method is divided into division, data acquisition, information coding, data storage management, the Data Integration of net member event and shares.The method can further include the steps such as state evaluation and analysis, equipment modeling and prediction and auxiliary management decision.
The first step, the division of grid, parts and event
The definition of grid, parts and event is the basis of gridding management with dividing.
A) mesh definition and division
High-speed railway grid is by continuous rail track discretize, by certain rule, cuts apart, and forms many little track sections, and each track section is called unit grid, and gives identifier (being grid coding).
Because railway land is zonal arrangement, line length, point are many, wide, and device distribution is intensive, and the boundary of a piece of land width of railway land both sides determines, thus railway grid be different from other field by area division, and should divide with the length of circuit.
The principle that general geographic grid is divided is followed in the division of high-speed railway grid, also will consider the management characteristic of high-speed railway driving fixed equipment.Adopt 200m length circuit grid division unit, both met existing business feature, also meet the requirement that high-speed railway becomes more meticulous to equipment control.Suggestion high-speed railway adopts 200m track section as basic grid unit, usings the hundred-metre post of high-speed railway as the separation of adjacent mesh.
The localized management principle of dividing according to grid, the maximum boundary of unit grid is the border in minimum management unit (work area), Bu Yingkua management unit is cut apart, high-speed railway is when dividing the basic grid unit of 200m track section, also should carry out special processing for the separation of different management units, with separation, cut apart, likely occur being less than the grid cell of 200m.
B) parts definition and division
Parts in the management of high-speed railway grid refer to the driving fixed equipment of the different majors such as work business, electricity business, traction power supply.Different driving fixed equipments has different separately features in space layout, composition configuration aspects.
Due to the complicacy of high-speed railway driving fixed equipment, parts (equipment) are also more complicated with the relation of grid.
The driving fixed equipment having on space characteristics is continuous device or the equipment of growing up, as work be engaged in professional track, roadbed, gapless track, railway roadbed, curve, the gradient, bridge, tunnel, the track circuit that electricity business is professional, contact net of power supply profession etc., they will be across a plurality of grids.
For continuous device or the equipment of growing up, from space, be divided into the grid that a plurality of length is less, be conducive to equipment state segmentation, disease location and repair work arrangement, be applicable to very much the needs of fine-grained management.
The driving fixed equipment having on space characteristics is point-like equipment, as work be engaged in professional leveling base, milepost, three-dimensional accurate measurement observation stake, teleseme, transponder, insulation joint that electricity business is professional, the transformer of traction power supply specialty, pillar, isolating switch, disconnector, on-load switch, etc., each will belong to a unique grid this kind equipment.
Form the equipment having in structure be aggregation device as station, station track, track switch, bridge, ,Han Qu, road, tunnel jaws equipment, anchor section etc., both needed holistic management, need again its ingredient (subset) to manage; Although some equipment is individual equipment, also by a plurality of component units (material or device), formed.
The classification of high-speed railway driving fixed equipment can be divided into three large classes according to current work business, electricity business, three specialties of traction power supply, then is different groups according to the granularity division of high-speed railway driving fixed equipment management, forms the device class tree of different majors.
C) event definition and division
Event in the management of high-speed railway grid refers to a kind of attribute information of railway parts (equipment), and a kind of state of reflection railway parts, can obtain by inspection or detection means, also comprises the various administration behaviours relevant with parts.
From definition, event can reflect parts status flag at a time, through overwriting, can follow the trail of, and conveniently carries out life period of an equipment management.The status flag of equipment, there is the administration behaviour of manual operation, can reflect equipment state and variation thereof, also the abnormality that has the state evolution of equipment own to form, as disease (fault), also there is the equipment state that natural cause causes to change, as disasteies such as flood, earthquake, landslide, snow disasters.
Kind of event in high-speed railway grid management is numerous, the contents are multifarious and disorderly, can divide according to the design of equipment, construction and three different phases of operation.
Second step, data data acquisition
The main collecting device of data acquisition module of system, at the status data that each stage of the Life cycle such as design, construction, operation produces, comprises spatial data and the attribute data of grid, parts and event, need to set up attribute data standard, carries out attribute design.
The attribute design of high-speed railway grid, equipment, event is exactly according to the requirement of gridding management, to carry out standardization to attribute, to facilitate, carries out computer management.
Due to the complicacy of high-speed railways, the attribute data of grid, equipment, event is numerous and complicated various, is that they own together: space characteristics, thematic feature and temporal characteristics but there are three essential characteristics.We carry out the attribute design of high-speed railway grid, equipment, event based on this three large feature.
A) space characteristics
Space characteristics mainly refers to grid, equipment, the characteristic of event aspect locus, and it comprises again the information of 3 aspects such as volume coordinate, geometric configuration, topological relation, is called again spatial data.
B) thematic feature
What the thematic data of high-speed railway grid, equipment, event reflected is that driving fixed equipment is at the attribute information of the non-space of design, construction and operation different phase.As attribute informations such as management unit, person liable, inspection detection, disease or fault, repairings.This category information is numerous, is closely connected with equipment management information, can, according to its feature, divide different special topics and be described.Special topic can be divided by life period of equipment stage and different business feature.
C) temporal characteristics
All attribute datas all at a time produce, the temporal characteristics of Here it is attribute data.
The spatial data of high-speed railway grid, equipment, event and thematic data be always at a certain special time or collect or calculate generation in the time period, reflection be them in space characteristics and thematic feature sometime.
The 3rd step, information coding
The present invention proposes the Life cycle coding method of grid, parts and event.
Coding is the basis of identification management object, is the basis of carrying out Information Resources Integration.Lifecycle management theory based on equipment, the code Design of grid, equipment, event should be able to cover their lifecycle process, realizes information association and the integration of Life cycle.
Life period of an equipment model is integrated to the structuring of various information in life period of an equipment management, is illustrated in figure 4 the four-dimensional view model of life period of an equipment, and these information have 4 dimensions.Concerning the supvr of railways train operation fixed equipment, geospatial location information is the basis of all information.From facility information forming process, facility information has again stage.
The coding of grid, equipment and event, considers parts dimensions, event dimension, 4 dimensions of geographical space peacekeeping life period of an equipment dimension and encodes.
(1) code Design of grid
For high-speed railway grid, its geographical space dimension information should comprise: line name, and row is other, position, in conjunction with cryptoprinciple, its code Design is: the other code+position code+sequence code of line name code+row, corresponding coding structure is as shown in Figure 5.
Every bits of coded number of grid coding is formulated as the case may be.
(2) code Design of equipment
For high-speed railway equipment, its parts dimension information refers to that equipment is by the device class of different granularity division, and its geographical space dimension information should comprise: line name, and row is other, position, available its corresponding grid coding represents.In conjunction with cryptoprinciple, its code Design is: the little category code+sequence code of the large category code+equipment of grid coding+equipment, corresponding coding structure as shown in Figure 6.This code Design, by " grid coding ", can be by equipment and corresponding grid opening relationships.
In the present embodiment, the large category code of equipment can comprise work business specialty, electricity business specialty, traction power supply specialty etc., the little category code of equipment can comprise line facility, bridge tunnel equipment, roadbed equipment, safeguard, signalling arrangement, communication facilities etc., equipment can be specifically station, rail, railway roadbed, fence equipment, track switch signalling arrangement, contact net, converting equipment etc.Every bits of coded number of device coding is formulated as the case may be.
(3) code Design of event
For high-speed railway event, its event dimension information refers to the event category that event is divided by different grain size, and its parts dimension information refers to that finger equipment is by the device class of different granularity division, and the corresponding device coding of available event represents.In conjunction with cryptoprinciple, its code Design is: the little category code+sequence code of the large category code+event of device coding+event, corresponding coding structure as shown in Figure 7.This code Design, by " device coding ", can associate event and equipment.
In the present embodiment, the large category code of event can be feasibility study stage, concept phase, Construction in Preparatory Stage, production phase etc., the event group stage can be project proposal, preliminary design review, construction plan, circuit Static Detection, signalling arrangement state-detection etc.
The 4th step, data storage management
Gridding management to the basic demand of spatial data and attribute data integrated management is: can realize the picture and text of spatial data and attribute data are exchanged visits, can querying attributes information based on spatial object, based on attribute information, can navigate to the extraterrestrial target in thematic maps, also can implementation space data and the correlation inquiry of attribute data, for spatial data and attribute data, set respectively querying condition, two conditions can be carried out logical operation, find the spatial data satisfying condition simultaneously, and corresponding attribute data.
The basis of spatial data and attribute data integrated management is that spatial data and attribute data all adopt database (data warehouse) to carry out store and management, in the present embodiment, adopt Spatial Data Engine mode, spatial data is managed together with attribute data as a kind of special data type, two databases logically can synthesize a database, unify store and management.
For above-mentioned requirements, the spatial data that employing database manufacturer provides and the solution of attribute data integrated management, database manufacturer provides the database platform software of enterprise-level, comprise data warehouse component and spatial database engine, triplicity can implementation space data and attribute data integrated management.
System to the high-speed railway fixed equipment of driving a vehicle, has proposed the integrated storage administration scheme of spatial data and attribute data, shown in storage organization Fig. 8 based on unit grid.
Spatial data and attribute data integrated management comprise data base management system (DBMS), Spatial Data Engine, data warehouse component and metadatabase four partial contents.Carry out inquiry, the analysis of spatial data and attribute data and excavate, need to first access unified metadatabase, visiting again related data.
The 5th step, Data Integration is with shared
Native system has proposed a set of device data integration method based on unit grid.
The different dimension such as (grid, mileage), equipment and time from space, integrate a certain place (grid, mileage), particular device, sometime or in the time period, in different majors driving fixed equipment lifecycle process, design, build and run the status data information that three different phases produce, comprise the full detail of relevant grid, parts, event.As shown in Figure 9.
Adopt the visual information technological development electronics library query analysis modules such as WebGIS, Internet video, photo multimedia.
The basic thought of data visualization technique is using each data item in database as single pel element representation, and a large amount of data set composition data images, passes on crucial feature intuitively.High-speed railway driving fixed equipment status data has typical large data characteristics, and the visual of data is the inevitable choice of gridding management, and its efficient expression data content and relation thereof, is the basis that manages decision-making.
The 6th step, state evaluation and analysis
The present invention is directed to grid and parts and formed respectively a set of state evaluation index system.
A) parts (equipment) state evaluation index system
Native system has proposed the index system of an equipment state evaluation based on reliability theory, comprise the indexs such as front time of designed life, stable state availability, mean first disease or fault, average disease or failure rate, average disease or time between failures, disease or fault multiplicity, disease or fault concentration degree.
B) trellis state deliberated index system
The state evaluation of grid is that the general performance based on grid inner part is made, and is the tolerance to the integrated operation state of component set.The state of grid was both related with unit status, had one's individual peculiarity again.
Native system has proposed the index system of a trellis state evaluation, comprises the indexs such as track quality index (TQI), track structure index (TSI), average availability, average disease rate, average disease multiplicity and average disease concentration degree.
The foundation of unit grid state evaluation index system, is our angle from space, rather than from professional angle, and the equipment state in grid is carried out to overall assessment and analysis provides a set of management tool.
The 7th step, equipment modeling and prediction
Native system has proposed the personalized modeling method of a kind of equipment state Changing Pattern based on large data, mainly based on high-speed railway driving fixed equipment data set, there is typical large data characteristics, utilize large data technique, unique Changing Pattern of the equipment state of research in different spatial.
The unique Changing Pattern of state of the equipment in different spatial necessarily lies in the large data that produce in the life period of an equipment process on this locus, past, why we were difficult to find them, because first we,, less than these large data, are secondly that we lack corresponding means of numerical analysis.And large data technique exactly can help us to address these problems.From the data of magnanimity, find new pattern, new knowledge and new rule, find the factor of the strong correlation that affects grid, unit status variation, and then realize the personalized modeling of equipment, and excavate out the Lifetime Distribution Model of individual device, be the unique advantage of large data technique.
Adopt the data digging methods such as mathematical statistics, correlation rule, cluster analysis, neural net model establishing, regretional analysis, time series analysis to build equipment state variation model and Lifetime Distribution Model for single driving fixed equipment.
On equipment state variation model and Lifetime Distribution Model basis, equipment state is predicted and maintenance cycle prediction.
The driving fixed equipment life distribution law model of take is example, and railways train operation fixed equipment deteriorated has typical tub curve feature, can be divided into earlier failure period, random failure period and wear out failure phase three phases.The earlier failure period of railways train operation fixed equipment is shorter, generally in combined test and test operation stage, the problem of equipment exposure is solved in time, and equipment state is settled out, the railways train operation fixed equipment Lifetime Distribution Model that native system is studied is mainly the state variation Rule Model in random failure period and wear out failure phase to equipment.
Exponential distribution, Wei Buer distribution or Gamma distribution (Γ distribution) etc. are in engineering circles, in fail-safe analysis equipment life, to use model more widely, wherein,
The crash rate function of exponential distribution: r (t)=λ
The crash rate function that Wei Buer distributes: r (t)=λ α (λ t)
α-1
The crash rate function that Γ distributes:
The crash rate function of exponential distribution is constant, and the feature stable with the mid-term stage crash rate of " tub curve " conforms to, and can describe the life distribution law of equipment in random failure period; Along with the span of parameter alpha is different, the crash rate function that Wei Buer distributes and Γ distributes can be described the crash rate variation tendency in earlier failure period, random failure period and stage wear out failure phase in " tub curve ", and Weibull distribution or Γ distribute and can be used for describing driving fixed equipment in the life distribution law of different lifetime stage.
High-speed Railway Network grid management, integrates the attribute information of the Life cycle of all grids, parts, event, is built into driving fixed equipment large data sets.In this data centralization, grid, parts, event all have the coding of I.D. formula, carry out unique identification.Utilize unique coding of equipment, can be from large data sets, till extracting up till now constantly t, this equipment the disease in each stage of Life cycle or fault-time point, form corresponding time series x (1), x (2) ..., x (n) }.This time series data is to describe the censored data of the cut-off time t of this equipment life.
Utilize the different censored datas of distinct device, can determine parameter alpha and the λ of each equipment uniqueness, obtain unique Lifetime Distribution Model of each equipment, thereby help railway operation department to grasp quantitatively the peculiarie of each equipment, reasonable arrangement repair work, ensures railway operation safety.
The 8th step, auxiliary management decision
Auxiliary management decision mainly comprises the equipment control decision-makings such as Condition Detection, equipment (fault) diagnosis, equipment state safe early warning, equipment repair plan establishment.
1) Condition Detection decision-making, mainly according to current device health status and variation characteristic, dynamically formulate the personalized Condition Detection cycle, adopt the personalized Condition Detection cycle to contribute to guarantee to greatest extent equipment security of operation, reduce testing cost simultaneously.
2) equipment disease (fault) diagnosis decision-making, adopts spatial analysis modeling and data mining technology, analytical equipment disease (fault) reason, discovering device fault signature and fault mode.
On unit grid basis, based on large data technique, adopt space correlation analytical approach and spatial data: digging technology carries out equipment fault diagnosis, the space correlation model of apparatus for establishing disease (fault) and geogen, device distribution, from the spatial database of equipment state, extract and there is no clear tacit knowledge and the spatial relationship showing, and find wherein useful equipment failure feature and fault mode.
3) equipment state safe early warning decision-making, according to the health status of current device and grid and variation characteristic, finds device security risk source, carries out security risk evaluations, realizes equipment state safe early warning.
Based on large data technique, carry out the identification of device security risk source, three kinds of methods below main employing:
A) based on fault diagnosis result, we can clearly following risk source: identical with faulty equipment type, to have the device security risk that the same terms (failure cause) not yet breaks down maximum.
B) the personalized state variation rule model based on individual equipment, predict future equipment state will reach or exceed the time of safety management allowable value, and these equipment will manage as security risk source.
C) based on distributed model equipment life, calculate residual life, the time that forecast may be broken down, the shorter equipment of residual life can be used as security risk source and manages.
4) equipment repair plan establishment decision-making, based on unit grid, adopt superimposed analytical technology, space-time analysis technology and the Visualization technology of GIS, auxiliary supvr is according to the unit grid distribution situation overall arrangement equipment repair plan of equipment state and disease (fault), integrate the Maintenance Resource of different majors, to reach cost-saving target.
Native system is through great many of experiments, obtained at present good experiment effect, take Ningbo-Hangzhou high ferro as example, native system gathers grid, the parts attribute datas such as driving fixed equipment account of Ningbo-Hangzhou high ferro, the collection of event attribute data comprises design, builds the attribute data in two stages, also comprise that Ningbo-Hangzhou high ferro carries out between joint-trial uniting and adjustment and trial run period the first half of the year in 2013, the large number quipments status data producing, as the detection data of track checking car, moving inspection car, the static problem base data of checking and accepting.
With the static problem base data instance of checking and accepting of joint-trial uniting and adjustment stage, during joint-trial uniting and adjustment on May 7 in 20 days to 2013 February in 2013, track specialty collects 8674 of problems, 6478 of bridge specialty acquisition problems, 60 of tunnel specialty acquisition problems, roadbed specialty gathers 124,1 of accurate acceptance survey specialty acquisition problems, 171 of security protection facility acquisition problems etc., gather 15508 of static examination problems altogether.
Figure 10 is the up grid division of Ningbo-Hangzhou high ferro figure (part), background in Figure 10 has shown the grid cell of having divided, other information of stack have shown the facility informations such as the curve in grid, the gradient, rail, track plates, what zebra crossing represented is the Ningbo-Hangzhou high ferro combined test stage to repair information, and what round dot represented is the plant issue point of finding in the combined test stage.
Figure 11 is the main interface of query analysis, electronics library of Ningbo-Hangzhou high ferro gridding management system.In main interface, function has six columns: line facility synthesizing map, the inquiry of equipment base attribute, equipment tabulate statistics inquiry, completion information, multi-medium data and problem base.Figure 12 is that trellis state is analyzed main interface.Figure 13 is grid reliability index and maintenance cycle prediction interface.
Should be appreciated that the above detailed description of technical scheme of the present invention being carried out by preferred embodiment is illustrative and not restrictive.Those of ordinary skill in the art modifies reading the technical scheme that can record each embodiment on the basis of instructions of the present invention, or part technical characterictic is wherein equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. high-speed railway driving fixed equipment gridding management system, is characterized in that, this management system comprises:
Railways train operation fixed equipment data acquisition module, the status data producing in design, construction, each stage of operation Life cycle for gathering high-speed railway driving fixed equipment;
Data Storage, for carrying out spatial data and attribute data integrated management to the data of described data collecting module collected;
Application system, for integrating and shared, equipment state evaluation, modeling and forecasting and decision support the device status data of described Data Storage storage.
2. high-speed railway driving fixed equipment gridding management system according to claim 1, is characterized in that, described application system comprises:
Electronics library query analysis unit, for the visual query to device history status information and current device status information, in realization construction and management process, status information of equipment reviews;
Equipment state analyzing evaluation unit, for carrying out analyzing evaluation to equipment and trellis state;
Equipment state modeling and forecasting unit, for carrying out personalized modeling and status predication to equipment state Changing Pattern;
Auxiliary management decision package, for the decision support of Condition Detection, equipment fault diagnosis, equipment state safe early warning and equipment repair plan establishment.
3. high-speed railway driving fixed equipment gridding management method, is characterized in that, this management method comprises:
1) high-speed railway circuit is carried out to unit grid division, and the driving fixed equipment of different majors is carried out to parts definition, railway component attribute information is carried out to event definition;
2) according to grid, parts and the event of dividing, set up the attribute data standard of grid, parts and event, gather the status data information that driving fixed equipment produced in design, construction, each stage of operation Life cycle;
3) status data each stage of described Life cycle being produced carries out Life cycle information coding;
4) data after information coding are carried out to space and the storage of attribute integration data, realize interconnecting between data;
5) data of described storage administration integrated and shared;
6) according to the data of described storage administration, unit grid is set up to state evaluation index system, from the angle in space, the equipment state in grid is carried out to overall assessment;
7) according to the data of described storage administration, adopt large data technique to carry out the personalized modeling of equipment state Changing Pattern, find out unique Changing Pattern of equipment state in different spatial, for Condition Prediction of Equipment;
8), according to the data of described storage administration, carry out equipment fault diagnosis and security risk identification.
4. high-speed railway driving fixed equipment gridding management method according to claim 3, is characterized in that, described unit grid division refers to divides from the enterprising line of length road railway, and railways train operation equipment is carried out to grid division from space.
5. high-speed railway according to claim 3 driving fixed equipment gridding management method, it is characterized in that, described attribute data standard refers to from space characteristics, thematic feature and temporal characteristics aspect carries out data definition and division to the data message of grid, equipment and event.
6. high-speed railway according to claim 3 driving fixed equipment gridding management method, it is characterized in that, described Life cycle information coding comprises the coding of grid, the coding of equipment and the coding of event, employing parts dimension, event dimension, 4 dimensions of geographical space peacekeeping life period of an equipment dimension are encoded, being encoded to of described grid: line name code+row name code+position code+sequence code, being encoded to of described equipment: the little category code+sequence code of the large category code+equipment of grid coding+equipment, being encoded to of described event: the little category code+sequence code of the large category code+event of device coding+event.
7. high-speed railway according to claim 3 driving fixed equipment gridding management method, it is characterized in that, data carried out to Data Integration refer to sharing in step 5, from space, the equipment dimension different with event, to a certain place, equipment, in the time, in different driving fixed equipment lifecycle process, relate to, build and run the status data information that three different phases produce and integrate.
8. high-speed railway driving fixed equipment gridding management method according to claim 3, is characterized in that, described grid cell is divided and adopted 200m length circuit as basic grid unit.
9. high-speed railway according to claim 3 driving fixed equipment gridding management method, it is characterized in that, described personalized modeling is that each equipment is set up separately to model, and model comprises driving fixed equipment state variation rule model and life distribution law model.
10. high-speed railway according to claim 3 driving fixed equipment gridding management method, it is characterized in that, described equipment fault diagnosis and security risk identification comprise: analytical equipment disease failure cause, discovering device fault signature and fault mode, according to the health status of current device and grid and variation characteristic, find device security risk source, carry out security risk evaluations, realize equipment state safe early warning.
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