CN104077552A - Rail traffic signal comprehensive operation and maintenance method and system based on cloud computing - Google Patents
Rail traffic signal comprehensive operation and maintenance method and system based on cloud computing Download PDFInfo
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Abstract
The invention relates to a rail traffic signal comprehensive operation and maintenance method and system based on cloud computing. The mode of four stages including a railway company, the railway administration, an electrical service section and a station is adopted, the railway company and the railway administration are respectively provided with a data center, a data acquisition device and a terminal, and the electrical service section and the station are only respectively provided with a data acquisition device and a terminal; meanwhile, real-time data analysis components are deployed, the real-time data analysis components of the station and the electrical service section are deployed in the data acquisition devices, and the real-time data analysis components of the railway administration and the railway company are deployed in the data centers. A hierarchical deployment mode is adopted for the rail traffic signal comprehensive operation and maintenance method and system, signal data can be analyzed in real time by directly deploying the real-time data analysis components on the acquisition devices, the requirement for storing continuously increasing signal data is achieved through a hierarchical storage and indexing strategy, and faults can be fast positioned through a four-layer indexing structure, and corresponding signal data in the faults can be fast retrieved through information such as time, types and positions of the faults.
Description
Technical field
The invention provides the comprehensive O&M method and system of a kind of railway signal based on cloud computing, relate to the technical fields such as railway signal data, railway communication data, railway knowledge data, system alarm data, machine learning, mobile unit, station equipment, central apparatus, trackside equipment, the problem facing in order to solve the comprehensive O&M of railway signal.
Background technology
At present, track traffic (government railway, enterprise railway and urban track traffic) is communicated by letter, the monitoring and maintenance product in signal field mainly contains three classes: have CSM (centralized signal supervision system), each plant maintenance machine, a communication network management system for trackside signal facility.In order to improve the modernization maintenance level of China railways signal system equipment, since the nineties, successively independent development the constantly centralized signal supervision CSM system during upgrading such as TJWX-I type and TJWX-2000 type.Current most of station has all adopted centralized signal supervision system, realize the Real-Time Monitoring to signaling at stations equipment state, and by the main running status of inspecting and recording signalling arrangement, grasping the current state of equipment and carry out crash analysis for telecommunication and signaling branch provides basic foundation, has brought into play vital role.And, to Urban Rail Transit Signal equipment, concentrate monitoring CSM system to be also widely deployed in city rail cluster/rolling stock section etc. and locate, for city rail O&M.For vehicle-mounted signal device have a DMS system, to mobile unit dynamic monitoring.In addition, follow the construction development of China Express Railway, the distinctive RBC system of high ferro etc., are also faced with the demand of including centralized signal supervision system in, and be also faced with and improve its monitoring capability, O&M ability, and the demand of equipment self-diagnosis ability.
In the face of increasing communication data, signal data, and current network condition, although make the railway system produce a large amount of Various types of data, but well do not utilize these data.Most data are to be stored in each station at present, and station also just done simple storage to data, check relevant data so that analyzing failure cause in the time breaking down.The Various types of data that this situation has caused railway to produce can not effectively be stored and utilize, and the analysis of fault still needs to rely on artificial experience analysis judgement at present, in a lot of situations, in the time there is accident, could find fault, while not only having caused Artificial Diagnosis railway signal system fault, the technical matters such as large, the Fault monitoring and diagnosis inefficiency of workload, has also increased the danger of driving.Therefore, improve railway signal integrated management O&M ability, look into hidden danger, control hidden danger, promote fault and repair to trimming the hair exhibition of state, thereby guarantee driving safety, raising transport power is the active demand of field of track traffic.
Summary of the invention
The problems such as in prior art, signal data amount is large, efficiency is low, risk is high in order to solve, manual analysis fault labour intensity is large, the invention provides a kind of signal synthesis O&M method and system based on cloud computing.System comprises data gather computer, three kinds of hardware of terminal and data center.Software comprises that data acquisition subsystem, data storage subsystem, data preprocessing subsystem, data real-time analysis subsystem, off-line data excavate subsystem, show subsystem, data query system etc.
The technical solution used in the present invention is as follows:
A track traffic signal synthesis O&M system based on cloud computing, it comprises:
Data gather computer, for acquisition trajectory data traffic signal;
Data center, connects described data gather computer, comprises Yunan County's holostrome, basic resource layer, virtualization layer, data storage layer, computing engines layer, component layer and Web cluster; Wherein, Yunan County's holostrome is by data backup, data reduction and access control, the safety of safeguards system; The hardware platform of basic resource Ceng Shi data center; Virtualization layer is realized virtual to hardware, the hardware differences of shielding bottom by virtualization software; Data storage layer comprises distributed file system, row formula database, relational database, is respectively used to store destructuring, semi-structured and structurized data; Computing engines layer adopts cloud computing to process frame; Component layer is specifically to process the assembly of miscellaneous service; Web cluster is that layer is issued in the service based on load balancing;
Terminal, connects described data gather computer and described data center, for display data analysis result.
Further, adopt the level Four pattern at railroad, Railway Bureau, electricity business section, station, dispose respectively data center, data gather computer and terminal in railroad, Railway Bureau, only dispose data gather computer and terminal at electricity business section, station.AT STATION, electricity business section, Railway Bureau, railroad all dispose real-time data analysis assembly, wherein the real-time data analysis deployment of components of station, electricity business section is in data gather computer, and the real-time data analysis deployment of components of Railway Bureau, railroad is in data center.
Further, computing engines layer comprises off-line data processing framework MapReduce, real-time distributed processing framework spark and data mobile engine sqoop and underlying resource management system yarn, and Yarn is for coming memory allocated resource and computational resource for the treatment of this task according to the task of user's submission.
Further, component layer comprises data management component, components of data analysis, fault diagnosis assembly etc.
The track traffic signal synthesis O&M method based on cloud computing that adopts said system, its step comprises:
1) what first signal synthesis O&M platform needed solution is the problem of data acquisition, the level Four management mode at the railroad, Railway Bureau that adopt for current rail, electricity business section, station, data gather computer is also distributed in these four levels for gathering dissimilar signal data, and data are done to different processing; Dispose respectively data center, data gather computer and terminal in railroad, Railway Bureau, only dispose data gather computer and terminal at electricity business section, station; AT STATION, electricity business section, Railway Bureau, railroad all dispose real-time data analysis assembly, wherein the real-time data analysis deployment of components of station, electricity business section is in data gather computer, and the real-time data analysis deployment of components of Railway Bureau, railroad is in data center;
In view of the current network presence of railway, each railway internal signal system is all to adopt the cable network of 2M bandwidth to carry out data transmission, along with the signal data kind of station collection and improving constantly of frequency, the single station signal data collecting per second is about between 200-500kb, and an electricity business section has about tens to up to a hundred stations; So just cause the data at station can not be transferred to electricity business section completely; According to this situation, Monitoring Data is adopted the strategy of the local storage of harvester, only business section and Railway Bureau, the railroad of conducting electricity on partial data;
2) data gather computer at station gathers the real time data at station, utilize, at the real-time data analysis assembly of local disposition, signal data is carried out to pre-service, feature extraction, feature selecting, then utilize analytical model to carry out real-time analysis to characteristic, obtain the current running status of signal system, and corresponding data (comprise Partial Feature and the analysis result of extraction, also can comprise the raw data at each station) can be transferred to electricity business section;
3) data gather computer of electricity business section is accepted the data that transmit from each station of inside, the data analysis of the real-time data analysis assembly that utilizes local disposition to the different stations that receive, obtain the analysis result of whole electricity business section, and analysis result is transferred to the data gather computer of Railway Bureau;
4) data gather computer of Railway Bureau receives the data from each electricity business section, and data conversion storage is arrived to data center, then the real-time data analysis assembly that utilizes data center to dispose is processed and is analyzed data, and analysis result and Partial Feature is transferred to the data gather computer of railroad;
5) data gather computer of railroad receives the data that send over of Railway Bureau, and by data conversion storage to data center, utilize the real-time data analysis assembly of data center to carry out analyzing and processing, obtain the analysis result of railroad's overall situation;
6) utilize the terminal that is deployed in railroad, Railway Bureau, electricity business section and station, carry out the displaying of data results.
Further, also comprise step 7), this step is set up index to the data of railroad, Railway Bureau, electricity business section and station storage, in the time breaking down according to the various types of signal data of this index quick obtaining section correlation time and position, so that carry out fast fault analysis, location and solution.
Further, described data gather computer can multiplexing existing machine, only corresponding data storage component, data pre-processing assembly, real-time data analysis assembly and data transfer components need to be installed.The data gather computer of railroad, Railway Bureau only need to be disposed data transfer components, the function of do not needed data storage, processing.The data storage of data gather computer adopts classification storage policy, and when can directly the characteristic of extraction being transferred to upper strata in the enough situation of railway network bandwidth, harvester this locality does not just need stored signal data like this.
Further, described data gather computer is kept in local system for the local signal data that collect, and then carrys out the storage organization of management data with the form of metadata on upper strata.A main innovation of the present invention is hierarchical data distributed storage mode, it is not simple distributed storage, but network limits based on railway and a kind of new hierarchical data storage architecture that designs, that is: raw data is stored in respectively collected level, upper strata is except storing the data of this layer, (metadata mainly refers to index data here also to need to store the metadata of lower floor, the namely storage information of lower floor's True Data, such as where some data is stored in), be used for the particular location of locator data fast, the data of lower floor are managed on upper strata by metadata.In the time that data are calculated, neither simply lower floor's analysis result upwards be transmitted, except needs transimiison analysis result, the foundation that also needs hop raw data to analyze as upper layer data.Thereby form a kind of data storage, processing framework of hierarchical.Being the data that electricity business section gathers itself as electricity business section comprises two class data, a class, is the metadata at each station in area under control in addition, comprises the information such as Station XXX, device numbering, time interval, memory location, to ensure locator data fast.Upwards can be by that analogy.
Further, step 2) in the data gather computer at station obtain signal data by the signal station machine at station, whether the prow of standing first needs to transmit by existing rule judgment, thereby signal data is compressed to processing.If the value of voltage (can be also other signal value) is in the situation that standard value fluctuation is no more than 20% (can be also other threshold value), think that data do not change, do not need transmission.Data gather computer is connected by setting up socket with the signal station machine at station, and the signal station machine at station will compress data transmission after treatment to data gather computer, and data gather computer utilizes existing rule to reduce to data.
Further, step 2)～5) described real-time data analysis assembly is mainly to carry out failure prediction according to the characteristic obtaining, and utilizes disaggregated model to classify to feature, judges whether to produce fault.Particularly, real-time data analysis is to excavate according to the historical signal data analysis having marked the disaggregated model obtaining for all kinds of faults.The data analysis algorithm that real-time data analysis assembly uses comprises support vector machine, Bayes classifier, rough set, decision tree, neural network etc., utilize algorithm to carry out unified processing to the signal data collecting in data center, excavate the model of Fault Identification, offer real-time analysis and set up use.
Further, step 6) in: the terminal at described station is mainly used in showing all kinds of analysis results of this inside, station, comprises real-time running status, and various fault analysis result; The terminal of electricity business section is mainly used in showing the running status of entirety in this electricity business section, and in the time breaking down in the station in area under control, this terminal also needs to show corresponding failure message; The terminal of Railway Bureau, for showing the running status of Railway Bureau's aspect, various fault alarm information etc.; The terminal of railroad for showing the running status of whole railroad, also needs show fast and follow the tracks of in the time breaking down in station.
Further, step 7) first described process need set up index at each station according to the data of storage, then the index file at station is transferred to electricity business section, the data that electricity business section gathers this locality and the station index file receiving are set up secondary index, then index is transferred to the data center of Railway Bureau, the data center of Railway Bureau sets up three level list to the Various types of data receiving, then index is transferred to the data center of railroad, the data center of railroad sets up level Four index to the Various types of data receiving, form a railroad, Railway Bureau, electricity business section, the level Four index at station.When concrete enforcement, can set up index according to modes such as Railway Bureau, electricity business section, station, equipment.And then by means of the index file of setting up, can directly get concrete signal data according to the time of fault, positional information.
Compared with prior art, advantage of the present invention is:
The present invention has unified the integrated management of railway signal data, comprises that collection, data storage, data analysis and the result of data shown.By the life cycle unified management of whole signal data, form an organic whole, improve the utilization factor of signal data.
The present invention, by data acquisition system (DAS), carries out unified acquisition and processing by the various signal datas that are dispersed in each electricity business section, station, thereby has changed the present situation that various signal datas are isolated mutually.For future signal data being carried out further excavating good acquisition platform being provided.
The present invention is by the deployment way of level, adapt to the level Four management mode at railroad, Railway Bureau, electricity business section and the station of railway, and the deployment way of this level is to be also applicable to the current network presence of railway, optimize the mode of data centralization, greatly reduced the data volume that is transferred to electricity business section and railroad.
The present invention, by the identification fault that uses a model, has saved a large amount of human costs, no longer needs artificial going to observe monitoring information and then carries out Fault Identification and analysis; Can improve the accuracy rate of track traffic Monitoring Data Fault Identification, shorten fault correction time, greatly improve the fault handling efficiency of track traffic, improve O&M ability.
The present invention, by directly dispose real-time data analysis assembly on harvester, can realize the real-time analysis to signal data, has improved the real-time of data analysis, and analysis result can directly be shown in this locality.
The present invention has realized the storage demand to ever-increasing signal data by the strategy of classification storage and index, and realizes the quick location to fault by four layer index structures, corresponding signal data when the information such as time that related personnel can occur by fault, type, position retrieve fault generation fast.Technician and managerial personnel can directly locate fault more fast like this, and propose solution.
Brief description of the drawings
Fig. 1 is railway signal system institutional framework schematic diagram.
Fig. 2 is the integrated stand composition of comprehensive O&M system of the present invention.
Fig. 3 is the integral deployment figure of data gather computer of the present invention, data center and terminal.
Tu4Shi data center of the present invention Organization Chart.
The effect schematic diagram of Fig. 5 comprehensive O&M system of the present invention in Digital Railway " integrated " platform.
Fig. 6 is the process flow diagram of a 25Hz phase-sensitive track circuits differentiation indoor and outdoor fault in embodiment.
Embodiment
Below by specific embodiments and the drawings, the present invention is described in detail.
The comprehensive O&M scheme of railway signal of the present invention is used for solving the technical matterss such as prior art signal data dispersion treatment, workload are large, inefficiency, risk is high, fault inquiry is difficult.User object of the present invention is mainly government railway and domestic large enterprise's railway, as urban track traffic etc.As can be seen from Figure 1, railway signal system inside is divided into railway main office, Railway Bureau, electricity business section and station level Four.Introduce the function of iron signal system inner stages department of state and their correspondences below in conjunction with Fig. 1.
1) railway main office
The railway signals equipment of the national each road bureau of railway main office telecommunication and signaling branch supervisor, is the final Rendezvous Point of all monitor datas, and equipment coverage rate is the widest, relate to the data volume maximum the most comprehensively, for analyzing of device category.Main task comprises: (1) equipment angle: the duty of grasping at any time the whole signalling arrangements of each road bureau; By statistical report form function, understand the information such as failure rate in actual applications of various signalling arrangements, failure mode, fault effects; Grasp the maintenance condition of each road bureau signalling arrangement; By statistical report form function, the combination property of the signalling arrangement to different manufacturers, variety classes, different model compares, for equipment purchase, operation, maintenance etc. provide Data support and quantize reference; Analyze by Data Integration, the weak link of discovery signals equipment, for the introducing of the upgrading of equipment and new system, new equipment provides specific aim suggestion; (2) O&M angle: grasp the O&M situation of each Railway Bureau, arrange targeted specifically to check emphasis, rectification emphasis, prevent trouble before it happens.
2) Railway Bureau
The signalling arrangement kind of each road bureau is more unified comparatively speaking, and main task comprises: (1) equipment angle: the warning message of checking each signalling arrangement; By statistical report form function, understand the information such as failure rate in actual applications of various signalling arrangements, failure mode, fault effects; Understand in time the disposition of fault; The duty of the monitoring supervisor of institute signalling arrangement; While breaking down, warning message, the state monitoring information etc. of Comprehensive Correlation mobile unit and uphole equipment, judgement causes the basic reason of fault; By the function such as statistical report form and data analysis, different vendor's equipment is compared, and provide corresponding demand and suggestion to equipment manufacturer; (2) O&M angle: the O&M situation of each electricity business section under grasping, arrange targeted specifically to check emphasis, rectification emphasis, prevent trouble before it happens.
3) electricity business section
All signalling arrangements in its pipe are totally monitored, job guide is carried out in each workshop of its subordinate.Carry out the concrete maintenance work of equipment, be concerned about again aggregate analysis processing and the comparative result of Various types of data.
4) station/work area
Between station comprises that common workshop, vehicle-mounted workshop, fortune are shunt, some station also comprises between speed car etc.Be respectively used to manage different monitoring equipments, comprise the equipment such as the interior signalling arrangement in station and Block signaling equipment, mobile unit, CTC, RBC, TDCS.Find in time fault and identify the reason of fault by comprehensive monitoring system.The information such as place, equipment occurring by various statistical report forms identification faults, carries out the monitoring of emphasis for the position that rate of breakdown is higher, and the equipment that commute breaks down carries out statistical study, for equipment replacement and buying provide foundation.
The data Storage and Processing mode of stagewise of the present invention is highly suitable for the classification feature of state's iron and data analysis demand at different levels.The present invention adopts the level Four pattern at railroad, Railway Bureau, electricity business section, station, disposes respectively data center, data gather computer and terminal in railroad, Railway Bureau, only disposes data gather computer and terminal at electricity business section, station.AT STATION, electricity business section, Railway Bureau, railroad dispose real-time data analysis assembly, wherein the real-time data analysis deployment of components at station, electricity business section is in data gather computer, the real-time data analysis deployment of components of Railway Bureau, railroad is in data center.Railway Bureau, railway main office also need to dispose off-line data digging system, the model using for analysis mining real-time data analysis in data center.The solution of the present invention mainly comprises the content of six parts below:
(1) data acquisition:
The various types of signal data acquisition that railway need to be produced is got up, and comprises communication data, mobile unit data, station equipment data, central apparatus data, trackside device data etc.
Railway signal comprises polytype, as communication data, vehicle-mounted data, trackside data, station data etc., the position producing also comprises station, electricity business section, administrative center of Railway Bureau, railroad center etc., and therefore data acquisition subsystem also needs to be deployed in station, electricity business section, Railway Bureau and signal center of railroad.Data acquisition subsystem need to, according to the specification of signal data, receive and analytic signal data.The signal data collecting is transferred to data preprocessing subsystem by signals collecting subsystem, and signal data is carried out to analyzing and processing.
(2) data pre-service:
Data preprocessing subsystem receives the signal data collecting from data acquisition subsystem, according to different faults, finds the signal data relevant to this fault, then first data is carried out to the pre-service such as duplicate removal, denoising, ensures the validity of data.According to signal data, data are converted to vector space model, and as required, utilize feature selecting algorithm such as information gain algorithm etc. to feature extract, duplicate removal and selection, find the feature useful to failure modes, the final proper vector that is suitable for model training and real-time analysis that generates.
(3) disaggregated model excavates:
First manually mark for the data that collect, obtain all kinds of fault datas of mark, train by these data, can produce corresponding disaggregated model and parameter, for next step signal data analysis.
This subsystem is for the analysis of the Historical Monitoring data by artificial mark, first the data that these marked are carried out data pre-service, produce the proper vector of band mark classification, then select suitable feature and initial parameter to train these data, thereby obtain the model of failure modes.
Selection meets the model of rule, to model training, finds for concrete fault and finds corresponding disaggregated model and parameter, makes it have best classifying quality to such fault.
(4) signal data real-time analysis:
Comprise the steps such as data filtering, duplicate removal, feature extraction, feature selecting, normalization, then utilize fault model to carry out failure prediction and classification to these data.This subsystem receives the live signal data after processing through data preprocessing subsystem, and the disaggregated model that utilizes disaggregated model excavation subsystem to obtain calculates these data analysis, obtains the running status of current system.Do not have out of order time and show normally, in the time breaking down, need to remind related personnel in the mode of warning.
(5) analysis result is shown:
This subsystem is various display terminals, be deployed in the signal center of station, electricity business section, Railway Bureau and railroad, for the running status in real-time display tube area under one's jurisdiction, timely reminding alarm information, request signal data etc., offer field technician and managerial personnel and use.Being convenient to related personnel can the current running status of more intuitive understanding system.Exhibition method and the scope of the result of analyzing for the signal data of different levels (station, electricity business section, Railway Bureau, railroad) are also different, and station is the real-time analysis situation of this inside, station of real-time exhibition; What electricity business section was shown is the partial analysis result at all stations of administration and all failure messages; What railroad's station section was shown is running status and the analysis result at all electricity business sections, station in company.
For step (2)～(4) above, be engaged in section two-stage because do not dispose data center, (being real-time data analysis assembly) therefore completing exactly in harvester with electricity AT STATION; Complete in data center in Railway Bureau and railroad.When concrete enforcement, Railway Bureau and railroad also can not need special data gather computer, directly data acquisition deployment of components on central server, realize the function of data gather computer.
(6) data of railroad, Railway Bureau, electricity business section and station storage are set up to index, in the time breaking down according to the various types of signal data of this index quick obtaining section correlation time and position, so that carry out fast fault analysis, location and solution.
A) structure of hierarchical index
Railway signal system departments at different levels only carry out inquiry and analysis to the signal data in administrative area, and therefore demand data has obvious locality.According to the feature of the current network presence of the railway system and demand data, adopt the mode of classification to carry out signal data storage, for the data query that carries out rapidly and efficiently, adopt the data directory strategy of stagewise.Namely AT STATION, electricity business section, Railway Bureau, railroad adopt respectively different data directory structures to ensure the speed of data query.Here introducing the concept of data block (Block), is the storage space with 64M fixed size, by the data center server of railroad, the signal data memory device of the whole network is carried out to unified numbering.
B) station data directory structure, as shown in table 1.
Table 1. station data directory structure
| workid | deviceid | blockid | offset | length |
Workid: the numbering in workshop, inside is unique AT STATION;
Deviceid: the numbering of monitoring equipment in workshop;
Blockid: data block numbering, this is the unique numbering of the overall situation, the particular location of data storage, can map directly to corresponding physical storage locations by this id;
Offset: signal data is in the reference position of this data block;
Length: the size of signal data is also the memory length that data take;
The index data at station generates in the time of data storage, and is stored in local machine, when station terminal carries out data query, first in local machine, reads index file, then goes to read real data according to data block, side-play amount.
C) electricity business segment data index structure
Two kinds of data of electricity business section storage are respectively actual signal data and the index datas collecting.Index data is also divided into two classes: the index of station index data; The index of local data.Seemingly, just workid becomes the depotid that represents electricity business section, as shown in table 2 for local data index and station data class.
The local data index structure of table 2. electricity business section
| depotid | deviceid | blockid | offset | length |
Table 3 is data structures of the index of station index data:
The index structure of the station index data of table 3. electricity business section
| Stationid | workid | blockid | offset | length |
Stationed: the numbering at station is unique within the scope of system-wide;
This index has increased a Station XXX with respect to the index at station, and for identifying station, an index record has just represented the particular location of the index file storage in work area, a station, and the length of index file etc.
D) Railway Bureau's data directory structure
Railway Bureau is similar with electricity business section, and the data of storage are divided into two classes: the data that Railway Bureau itself collects and index data.Wherein index data is divided into the index of electricity business segment index in local data index and area under control.
Local data index data structure is as shown in table 4:
The local data index data structure of table 4. Railway Bureau
| officeid | deviceid | blockid | offset | length |
Officeid: be the numbering of Railway Bureau, for identifying unique coding of this Railway Bureau.
The index data structure of electricity business segment index is as shown in table 5:
The index data structure of the electricity business segment index of table 5. Railway Bureau
| deoptid | Stationid | blockid | offset | length |
This index has increased an electricity business segment number with respect to the index of electricity business section, and for identifying electricity business section, an index record has just represented the particular location of the index file storage of an electricity business section, and the length of index file etc.
E) railroad's data directory structure
Railroad and Railway Bureau are similar, and the data of storage are divided into two classes: the data that railroad itself collects and index data.Wherein index data is divided into the index of local data index and each Railway Bureau's index data.
Local data index data structure is as shown in table 6:
The local data index data structure of table 6. railroad
| companyid | deviceid | blockid | offset | length |
The index data structure of Railway Bureau's index is as shown in table 7:
The index data structure of Railway Bureau's index of table 7. railroad
| officeid | deoptid | blockid | offset | length |
This index has increased Railway Bureau's numbering with respect to the index of Railway Bureau, and for identifying Railway Bureau, an index record has just represented the particular location of the index file storage of a Railway Bureau, and the length of index file etc.
By above-mentioned each DBMS storage and index structure, ensure that all departments at different levels can inquire all signal datas in area under control fast according to the index file of self, taken into account the access speed that has ensured signal data in the situation of railway signal system current network, storage space actual conditions.
The present invention utilizes comprehensive O&M platform to realize the centralized management to railway signal data, has realized the unified of railway various types of signal data gathered and centralized stores.Data preprocessing subsystem carries out unified pre-service to all kinds of Monitoring Data that collect, and extracts useful feature and uses to offer data mining and real-time analysis.Disaggregated model excavates subsystem by the data analysis processing to mark, finds out suitable disaggregated model and parameter for concrete failure problems, and Result is transferred to the use of real-time data analysis subsystem.Data analytics subsystem utilizes disaggregated model to classify to live signal characteristic after pre-service, obtain fault analysis result, and this result is transferred to result displaying subsystem, result displaying subsystem is shown corresponding analysis result according to residing position own, comprises the ruuning situation of inside, station, electricity business intersegmental part and whole railroad.Illustrate the idiographic flow of the method below by diagram and example:
Fig. 2 is the integrated stand composition of system, this system comprises data acquisition system (DAS) (being data gather computer), data center and terminal, and data center comprises the modules such as structural data storage, semi-structured data storage, unstructured data storage, off-line data processing, in real time large data processing, statistical study, data mining, fault pre-alarming, query engine, propelling movement engine.Terminal can be various types of receiving terminals, comprises PC computer, notebook, Pad, smart mobile phone etc.
Fig. 3 is the deployment schematic diagram of system, and point four levels are disposed, and is respectively railroad, Railway Bureau, electricity business section and station.
A) railroad
This level need to be disposed data center, data gather computer and terminal.The concrete framework of data center, with reference to figure 3, because this data center need to manage and process all electricity business sections in whole railroad, the various types of signal data at station, therefore needs larger storage, computing power.Data gather computer is mainly used in receiving the data that each Railway Bureau sends over, and needs to dispose data acquisition subsystem, data preprocessing subsystem on this machine, is responsible for after the signal data pre-service collecting, being transferred to data center; Terminal is connected the running status for showing whole company with data center, comprise that live signal is shown, signal data is inquired about and fault alarm.
B) Railway Bureau
Railway Bureau need to dispose small-sized data center, data gather computer and a terminal.Data center of Railway Bureau, for accepting and processing the signal data that the interior electricity business of administration section is uploaded, needs deployment to comprise the assemblies such as distributed file system, parallel processing framework, real-time data analysis; Data gather computer is mainly used in gathering the various types of signal data that Railway Bureau's aspect produces, and data are carried out being transferred to data center after pre-service.The various types of signal data of terminal for showing, in inquiry and early warning Railway Bureau.
C) electricity business section
Electricity business section and station do not need to dispose data center, only need data gather computer and terminal.These harvesters, except having the function of signals collecting, also have the ability of data pre-service, real-time data analysis, data storage and data transmission.After data gather computer image data, data are carried out to pre-service and real-time analysis, analysis result is shown by local terminal, and partial analysis result and signal data are transferred in data center of Railway Bureau.The data acquisition system (DAS) of electricity business section receives signal data and the analysis result from each station transmission in area under control.Terminal is for demonstration and inquire about various signal datas and analysis result.
D) station
Station is the same with electricity business section only need to dispose data gather computer and terminal, its function is also similar, just the data gather computer at station only need to gather the signal data at this station, and these data are carried out to pre-service and real-time analysis, and according to demand partial data and analysis result are transferred to the harvester of electricity business section.Terminal is mainly used in showing the real-time analysis situation of various signal datas in station and data.
The Organization Chart of Tu4Shi data center, mainly comprises Yunan County's holostrome, basic resource layer, virtualization layer, storage system layer, computing engines layer, component layer and web cluster.Yunan County's holostrome, by data backup, data reduction and access control, has ensured the safety of system.Basic resource layer building the hardware platform of data center, this part can multiplexing existing server apparatus.Virtualization layer is realized virtual to hardware by virtualization software, and the hardware differences of shielding bottom, forms high available, scalable, an extendible cluster.Data storage layer consists of distributed file system, row formula database, relational database, is respectively used to store destructuring, semi-structured and structurized data.Computing engines layer comprises off-line data processing framework MapReduce, real-time distributed processing framework spark and data mobile engine sqoop and underlying resource management system yarn.Yarn is for coming memory allocated resource and computational resource for the treatment of this task according to the task of user's submission.Component layer is specifically to process the assembly of miscellaneous service, comprises data management component, components of data analysis, fault diagnosis assembly etc.The result of various data acquisitions, analysis all needs to release by the framework of B/S or C/S, and Web cluster is that layer is issued in the service based on load balancing.
Comprehensive O&M system based on cloud computing of the present invention, can integrate with other processing platform.Be illustrated in figure 5 a kind of Digital Railway unified platform, adopt the mode of " general purpose module " and " business plug-in unit " to build.Wherein " data center and large data management & data mining analysis platform " can realize as basis taking one the present invention of the mode of general purpose module, it is the core of data acquisition, storage and data processing, and integrate with equipment complex monitor supervision platform, shipping platform, O&M platform, scheduling collaborative platform etc., jointly form Digital Railway unified platform.
Describe the workflow of platform in detail below by a concrete example:
Fig. 6 is the process flow diagram that 25Hz phase-sensitive track circuits are distinguished indoor and outdoor fault.The track circuit failure analysis of causes is a classification problem, and the method that is applicable to very much usage data excavation is carried out analysis mining.Relative signals collecting comes from station equipment.First be the model training stage, existing data are manually marked, marking out those is out of order data.So just formed a training set, usage data excavates subsystem these data sets is trained, and selects Bayes classifier as training pattern, obtains corresponding various model parameters.Then these disaggregated models are deployed in the data gather computer at station, first data gather computer receives the Monitoring Data from each monitoring equipment, then these data is carried out to pre-service, obtains the proper vector for analyzing.The disaggregated model that the utilization of real-time data analysis assembly obtains carries out analytical calculation to real time data, and whether obtain system has fault at present.Then the result of fault analysis is shown by display systems, and relevant analysis result and feature are transferred in electricity business section, Railway Bureau and railway in the heart, for the analysis in higher level.
After data pre-service and feature selecting, the feature extraction result completing is:
| Junction box is subject to terminal voltage | Throw cable terminal outside voltage away | Sending end voltage | Data acquisition time stamp |
| 25.00 | 25.00 | 25.00 | 521365 |
| 24.00 | 24.00 | 25.00 | 521365 |
| 27.00 | 27.00 | 27.00 | 521365 |
| 0.00 | 0.00 | 0.00 | 521365 |
| … | … | … | … |
For the purpose of simplifying the description, in upper table, the normal voltage value of three test points is all set to 25v.The type of fault is divided three classes:
(1) non-fault;
(2) fault is indoor;
(3) fault is outdoor;
(4) indoor short circuit;
(5) indoor open circuit;
Above-mentioned data are carried out to vectorization, calculate so that improve Bayes classifier:
Instance data position:
0?1:25.0?2:25.0?3:25.0
0?1:25.0?2:25.0?3:25.0
0?1:25.0?2:25.0?3:25.0
4?1:30.0?2:25.0?3:25.0
4?1:30.0?2:35.0?3:20.0
1?1:0.0?2:0.0?3:0.0
2?1:0.0?2:25.0?3:25.0
3?1:0.0?2:50.0?3:25.0
3?1:15.0?2:50.0?3:25.0
1?1:0.0?2:0.0?3:0.0
1?1:0.0?2:0.0?3:0.0
The type of a top column of figure representing fault:
● 0 represents not have fault
● 1 represents that fault is indoor
● 2 represent that fault is outdoor
● 3 represent indoor short circuit
● 4 represent indoor open circuit
Above embodiment is only in order to technical scheme of the present invention to be described but not be limited; those of ordinary skill in the art can modify or be equal to replacement technical scheme of the present invention; and not departing from the spirit and scope of the present invention, protection scope of the present invention should be as the criterion with described in claim.
Claims (10)
1. the track traffic signal synthesis O&M system based on cloud computing, is characterized in that, comprising:
Data gather computer, for acquisition trajectory data traffic signal;
Data center, connects described data gather computer, comprises Yunan County's holostrome, basic resource layer, virtualization layer, data storage layer, computing engines layer, component layer and Web cluster; Wherein, Yunan County's holostrome is by data backup, data reduction and access control, the safety of safeguards system; The hardware platform of basic resource Ceng Shi data center; Virtualization layer is realized virtual to hardware, the hardware differences of shielding bottom by virtualization software; Data storage layer comprises distributed file system, row formula database, relational database, is respectively used to store destructuring, semi-structured and structurized data; Computing engines layer adopts cloud computing to process frame; Component layer is specifically to process the assembly of miscellaneous service; Web cluster is that layer is issued in the service based on load balancing;
Terminal, connects described data gather computer and described data center, for display data analysis result.
2. the system as claimed in claim 1, it is characterized in that: the level Four pattern that adopts railroad, Railway Bureau, electricity business section, station, dispose respectively data center, data gather computer and terminal in railroad, Railway Bureau, only dispose data gather computer and terminal at electricity business section, station; AT STATION, electricity business section, Railway Bureau, railroad all dispose real-time data analysis assembly, wherein the real-time data analysis deployment of components of station, electricity business section is in data gather computer, and the real-time data analysis deployment of components of Railway Bureau, railroad is in data center.
3. the system as claimed in claim 1, it is characterized in that: described computing engines layer comprises off-line data processing framework MapReduce, real-time distributed processing framework spark and data mobile engine sqoop and underlying resource management system yarn, Yarn is for coming memory allocated resource and computational resource for the treatment of this task according to the task of user's submission.
4. the system as claimed in claim 1, is characterized in that: described component layer comprises data management component, components of data analysis, fault diagnosis assembly.
5. the track traffic signal synthesis O&M method based on cloud computing that adopts system described in claim 1, its step comprises:
1) adopt the level Four pattern at railroad, Railway Bureau, electricity business section, station, dispose respectively data center, data gather computer and terminal in railroad, Railway Bureau, only dispose data gather computer and terminal at electricity business section, station; AT STATION, electricity business section, Railway Bureau, railroad all dispose real-time data analysis assembly, wherein the real-time data analysis deployment of components of station, electricity business section is in data gather computer, and the real-time data analysis deployment of components of Railway Bureau, railroad is in data center;
2) data gather computer at station gathers the real time data at station, utilize, at the real-time data analysis assembly of local disposition, signal data is carried out to pre-service, feature extraction and feature selecting, then utilize analytical model to carry out real-time analysis to characteristic, obtain the current running status of signal system, and can be by corresponding data transmission to electricity business section;
3) data gather computer of electricity business section is accepted the data that transmit from each station of inside, the data analysis of the real-time data analysis assembly that utilizes local disposition to the different stations that receive, obtain the analysis result of whole electricity business section, and analysis result is transferred to the data gather computer of Railway Bureau;
4) data gather computer of Railway Bureau receives the data from each electricity business section, and data conversion storage is arrived to data center, then the real-time data analysis assembly that utilizes data center to dispose is processed and is analyzed data, and analysis result and Partial Feature is transferred to the data gather computer of railroad;
5) data gather computer of railroad receives the data that send over of Railway Bureau, and by data conversion storage to data center, utilize the real-time data analysis assembly of data center to carry out analyzing and processing, obtain the analysis result of railroad's overall situation;
6) utilize the terminal that is deployed in railroad, Railway Bureau, electricity business section and station, carry out the displaying of data results.
6. method as claimed in claim 5, it is characterized in that: also comprise step 7), this step is set up index to the data of railroad, Railway Bureau, electricity business section and station storage, in the time breaking down according to the various types of signal data of this index quick obtaining section correlation time and position, so that carry out fast fault analysis, location and solution.
7. method as claimed in claim 6, it is characterized in that, the described method of setting up index is: first set up index at each station according to the data of storage, then the index file at station is transferred to electricity business section, the data that electricity business section gathers this locality and the station index file receiving are set up secondary index, then index is transferred to the data center of Railway Bureau, the data center of Railway Bureau sets up three level list to the Various types of data receiving, then index is transferred to the data center of railroad, the data center of railroad sets up level Four index to the Various types of data receiving, form a railroad, Railway Bureau, electricity business section, the level Four index at station.
8. method as claimed in claim 7, is characterized in that, in described level Four index:
Station data directory structure comprises that the numbering, data block numbering, signal data of monitoring equipment in the numbering, workshop in workshop are in the reference position of data block, the size of signal data; The index data at station generates in the time of data storage, and is stored in local machine, when station terminal carries out data query, first in local machine, reads index file, then goes to read real data according to data block, side-play amount;
Electricity business segment data index structure comprises the index of local data index and station index data;
Railway Bureau's data directory structure comprises the index of electricity business segment index data in local data index and area under control;
Railroad's data directory structure comprises the index of local data index and each Railway Bureau's index data.
9. method as claimed in claim 5, is characterized in that: described data gather computer is kept in local system for the local signal data that collect, and the data of lower floor are managed on upper strata by metadata.
10. method as claimed in claim 5, it is characterized in that: step 2) in the data gather computer at station obtain signal data by the signal station machine at station, whether the signal station machine at station needs to transmit by existing rule judgment, thereby signal data is compressed to processing; The data gather computer at station is set up socket with the signal station machine at station and is connected, and the signal station machine at station will compress data transmission after treatment to data gather computer, and data gather computer utilizes described existing rule to reduce to data.
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| CN110481605A (en) * | 2019-08-21 | 2019-11-22 | 沈阳风驰软件股份有限公司 | A kind of railway transportation production managing and control system |
| CN110481605B (en) * | 2019-08-21 | 2022-02-08 | 沈阳风驰软件股份有限公司 | Railway transportation production management and control system |
| CN111106968A (en) * | 2019-12-31 | 2020-05-05 | 国网山西省电力公司信息通信分公司 | Method for constructing information communication intelligent dispatching command sand table |
| CN111332340A (en) * | 2020-03-06 | 2020-06-26 | 东莞理工学院 | Method and system for storing and processing rail transit monitoring data |
| CN111369022A (en) * | 2020-03-10 | 2020-07-03 | 上海申铁信息工程有限公司 | Railway station operation and maintenance monitoring platform and device |
| CN111292218A (en) * | 2020-03-10 | 2020-06-16 | 上海申铁信息工程有限公司 | Method and device for constructing intelligent monitoring system of railway station equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104077552B (en) | 2017-08-25 |
| WO2016004775A1 (en) | 2016-01-14 |
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