CN109993840A - For the big data analysis system of railway automatic ticket selling and checking monitoring of tools state - Google Patents
For the big data analysis system of railway automatic ticket selling and checking monitoring of tools state Download PDFInfo
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- CN109993840A CN109993840A CN201711492060.XA CN201711492060A CN109993840A CN 109993840 A CN109993840 A CN 109993840A CN 201711492060 A CN201711492060 A CN 201711492060A CN 109993840 A CN109993840 A CN 109993840A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B11/00—Apparatus for validating or cancelling issued tickets
- G07B11/11—Apparatus for validating or cancelling issued tickets for cancelling tickets
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- General Engineering & Computer Science (AREA)
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Abstract
The invention discloses a kind of big data analysis system for railway automatic ticket selling and checking monitoring of tools state, the system comprises: basal layer, management level, analysis layer and application layer.With the increase of automatic ticket inspection equipment installation amount, existing automatic ticket inspection business datum is made full use of, using accident analysis and early warning means, system stability is improved, reduces maintenance time and cost, be current AFC system development key.The present invention in order to overcome the problems, such as challenge location difficulty in automatic ticket inspection network operation operation, excessively rely on maintenance personnel's experience artificial treatment, by doing clustering to system response time data, using big data technology, effectively fault observer is found out from system mass data, excavate the relationship being out of order between system environments, user behavior, realize the monitoring level of raising system, the effect of the normal operation of AFC system.
Description
Technical field
The invention belongs to big data analysis technical field, it is related to a kind of for railway automatic ticket selling and checking monitoring of tools state
Big data analysis system.
Background technique
With the increase of automatic ticket inspection equipment installation amount, automatic ticket inspection network is in China Railway High-speed (abbreviation: high
Iron) effect that plays in passenger traffic service is also more and more obvious, and the reliable of equipment, stable operation are also more and more important.
The software and hardware complexity of high-speed rail automatic ticket inspection network is higher at present.What automatic machine was sold is to meet
The standard-sized magnetic medium ticket of ISO7816 supports cash and bank card payment, while setting currency and coins small change；Automatic selling
Ticket software systems support traveler self-help to obtain train number, are dealt into that station, date, ticket kind, seat are other by bus, provide procedure booking for passenger
Service, and interactive supervision interface and Maintenance Wizard are provided for administrative staff and operator.Automatic ticket checking system is taken by interface
Business device connects Ticketing and Reservation System, obtains the information such as train number catalogue, train bus stop, electronic ticket, passes through special purpose interface connection trip clothes and is
System obtains information, the automatic ticket checkers such as start-stop out of the station inspection time, train be early late and supports to read magnetic medium ticket, two generation bodies
Part card electronic ticket, middle iron Yin Tongka stored-value ticket lockage.
Existing automatic ticket inspection business datum is made full use of, using accident analysis and early warning means, improves system stability,
Maintenance time and cost are reduced, is current AFC system development key.
Summary of the invention
It is an object of that present invention to provide a kind of big data analysis system for railway automatic ticket selling and checking monitoring of tools state,
In order to overcome challenge location difficulty in automatic ticket inspection network operation operation, excessively rely on maintenance personnel's experience artificial treatment
The problem of, by doing clustering to system response time data, using big data technology, effectively from system mass data
Fault observer is found out, the relationship being out of order between system environments, user behavior is excavated, realizes the monitoring level of raising system,
The effect of the normal operation of AFC system.
In order to solve the above-mentioned technical problem, the present invention adopts the following technical scheme: a kind of set for railway automatic ticket selling and checking
The big data analysis system of standby monitor state, which includes: basal layer, management level, analysis layer and application layer；Wherein, described
Basal layer collects transaction data, status data in database, operating system host running environment data, day by Collection agent
Will file and video data form the multidimensional big data source of AFC system；The management level are mentioned in the basal layer
On the basis of the multi-dimensional data source of confession, it is responsible for providing the off-line data for being based on massive parallel processing framework (MPP) and MapReduce
Processing and flow data management based on Complex event processing model, and processing result is uploaded to the analysis layer；It is described
Analysis layer is the core of system control, is responsible for executing the data mining for monitoring data and machine learning algorithm, establishes failure
Tree and Event Tree Analysis model, Statistic analysis models, Decision Model, provide data and technical support for the application layer；
The application layer is responsible for providing railway automatic ticket selling and checking monitoring management platform, and integrated operation environmental monitoring, is set key business monitoring
The standby multinomial application such as monitoring, statistical analysis, aid decision, and support the Seamless integration- between diversification application.
Further, basic data, transaction and status data, the device log, multi-medium data of the basal layer acquisition,
It is storable in relational database, file, in distributed file system.
Further, the analysis layer is directed to batching data, by MapReduce technology according to specific transactions to data
It is filtered, directly in local analytics or is loaded into data warehouse after filtering, be associated with other business datums and execute analysis industry together
Business.
Further, the application layer helps railway to improve and innovate in real time railway production by the behavioural analysis to passenger
Product, and according to the real-time feedback information of passenger, service is improved, predicts the business risk faced.
The present invention have compared with prior art it is below the utility model has the advantages that
The present invention program is for challenge location difficulty, excessively dependence maintenance people in the operation of automatic ticket inspection network operation
The problem of member's experience artificial treatment, by doing clustering to system response time data, using big data technology, from system sea
Fault observer is found out in amount data, the relationship being out of order between system environments, user behavior is excavated, improves the monitoring water of system
It is flat, the effect of the normal operation of AFC system.
Detailed description of the invention
Fig. 1 is the general frame figure for the big data analysis system of railway automatic ticket selling and checking monitoring of tools state.
Fig. 2 is big data integrated technology used in the big data analysis system for railway automatic ticket selling and checking monitoring of tools state
Schematic diagram.
Fig. 3 is the event tree exemplary diagram for the big data analysis system of railway automatic ticket selling and checking monitoring of tools state.
Fig. 4 is the failure pretreatment process for the big data analysis system of railway automatic ticket selling and checking monitoring of tools state
Figure.
Specific embodiment
With reference to the accompanying drawing and specific embodiment to the present invention carry out in further detail with complete explanation.It is understood that
It is that described herein the specific embodiments are only for explaining the present invention, rather than limitation of the invention.
Referring to Fig.1, the present invention is a kind of big data analysis system for railway automatic ticket selling and checking monitoring of tools state, should
System includes: basal layer, management level, analysis layer and application layer；Wherein, the basal layer is collected in database by Collection agent
Transaction data, status data, operating system host running environment data, journal file and video data, formed automatic selling
The multidimensional big data source of ticket-checking system；The management level are responsible for mentioning on the basis of the multi-dimensional data source that the basal layer provides
For the processing based on massive parallel processing framework (MPP) and the off-line data of MapReduce and it is based on Complex event processing mould
The flow data management of type, and processing result is uploaded to the analysis layer；The analysis layer is the core of system control, is responsible for holding
Fault tree and Event Tree Analysis model, statistical analysis mould are established in data mining and machine learning algorithm of the hand-manipulating of needle to monitoring data
Type, Decision Model provide data and technical support for the application layer；The application layer is responsible for providing the inspection of railway automatic selling
Ticket monitoring management platform, integrated operation environmental monitoring, key business monitoring, monitoring of tools, statistical analysis, aid decision etc. are multinomial
Using, and support the Seamless integration- between diversification application.
It can for the basic data of system acquisition, transaction and status data, device log, multi-medium data referring to Fig. 2
It is stored in relational database, file, in distributed system (such as NoSQL and HDFS).Intermediate organized layer will not only organize to own
Data type and domain, reduce traditional data acquisition, data processing shelf and big data acquisition and processing frame between difference,
Also there is processing high speed, the ability of high-frequency data, the ability with processing mass data, make up the interstructural difference of different data
Away from the two-way services between realization Hadoop/MapReduce and traditional data warehouse and transaction data base are integrated.Analysis layer will
Big data analysis result is loaded into execute in data warehouse or transaction data base and further analyzes and show.Complex event processing
Targeted real time business analysis can be executed for real-time flow data.Decision-making level is by using statistical analysis, data in library
The methods of visualization, advanced analysis (data mining etc.) provide the information such as report, instrument board, early warning, decision recommendation.
Referring to Fig. 3, the pretreatment to certain failures needs maintenance experience abundant.According to system current operating conditions,
It formulates corresponding pretreatment measure, is the key step for realizing automation troubleshooting target.Utilize Event Tree Analysis mould
Type finds out the incidence relation between system event, infers subsequent result caused by outgoing event occurs, design error failure prediction algorithm, if
The failure pretreatment process for counting automation issues pre-alert notification to maintenance personnel for can not being automatically performed for task.Pretreatment
Defect content include cleaning log, arrange disk, reset routine, member reset etc..
Referring to Fig. 4, for challenge location difficulty, excessively dependence maintenance personnel in AFC system upkeep operation
The problem of experience artificial treatment, can find out automatic ticket inspection by dense cluster by doing clustering to system response time data
The boundary value of the normal performance indicator of business, the sequence that corresponding one group of performance indicator item is formed, can be used as the parameter of fault tree models
Input.System Construction initial stage can build preliminary fault tree models according to training data and empirical value, and system runs a period of time,
After having accumulated enough data, then the boundary value that is obtained by clustering and association analysis, threshold value readjusted as parameter therefore
Hinder the classifying rules of tree, to form the fault tree models of a dynamic adjustment.According to regulation process flow, maintenance personnel is being sent out
When existing monitoring system detects " disk will expire ": (1) issuing automatic cleaning log order, starting server log cleaning script is opened
Begin to clear up log；(2) command execution results are checked, check disk space utilization rate；(3) if script execution is unsuccessful, hand
Work clears up log, arranges disk space.
The above description is only a preferred embodiment of the present invention, is not intended to restrict the invention, for those skilled in the art
For, the invention can have various changes and changes.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (4)
1. being directed to the big data analysis system of railway automatic ticket selling and checking monitoring of tools state, which is characterized in that the system comprises:
Basal layer, management level, analysis layer and application layer；Wherein, the basal layer collects the number of deals in database by Collection agent
According to, status data, operating system host running environment data, journal file and video data, formed AFC system
Multidimensional big data source；The management level are responsible for providing based on sea on the basis of the multi-dimensional data source that the basal layer provides
Measure the processing of the off-line data of parallel processing architecture (MPP) and MapReduce and the fluxion based on Complex event processing model
The analysis layer is uploaded to according to management, and by processing result；The analysis layer is the core of system control, is responsible for executing for prison
Data mining and the machine learning algorithm for controlling data, establish fault tree and determine with Event Tree Analysis model, Statistic analysis models, auxiliary
Plan model provides data and technical support for the application layer；The application layer is responsible for providing railway automatic ticket selling and checking monitoring pipe
Platform, the multinomial applications such as integrated operation environmental monitoring, key business monitoring, monitoring of tools, statistical analysis, aid decision, and
And the Seamless integration- between supporting diversification to apply.
2. the big data analysis system according to claim 1 for railway automatic ticket selling and checking monitoring of tools state, special
Sign is that basic data, transaction and status data, the device log, multi-medium data of the basal layer acquisition are storable in pass
It is database, file, in distributed file system.
3. the big data analysis system according to claim 1 for railway automatic ticket selling and checking monitoring of tools state, special
Sign is that the analysis layer is filtered data according to specific transactions for batching data, by MapReduce technology,
Directly in local analytics or it is loaded into data warehouse after filtering, is associated with other business datums and executes analysis business together.
4. the big data analysis system according to claim 1 for railway automatic ticket selling and checking monitoring of tools state, special
Sign is that the application layer helps railway to improve in real time and innovate Iron-surfur clusters by the behavioural analysis to passenger, and according to trip
The real-time feedback information of visitor improves service, predicts the business risk faced.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201711492060.XA CN109993840A (en) | 2017-12-31 | 2017-12-31 | For the big data analysis system of railway automatic ticket selling and checking monitoring of tools state |
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| CN201711492060.XA CN109993840A (en) | 2017-12-31 | 2017-12-31 | For the big data analysis system of railway automatic ticket selling and checking monitoring of tools state |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111724489A (en) * | 2020-06-08 | 2020-09-29 | 上海申通地铁集团有限公司 | General software system of ticket selling and checking machine |
| CN114710505A (en) * | 2022-04-02 | 2022-07-05 | 杭州云象网络技术有限公司 | Method and system for realizing ecological safety supervision of digital RMB (national currency) based on block chain |
-
2017
- 2017-12-31 CN CN201711492060.XA patent/CN109993840A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111724489A (en) * | 2020-06-08 | 2020-09-29 | 上海申通地铁集团有限公司 | General software system of ticket selling and checking machine |
| CN111724489B (en) * | 2020-06-08 | 2024-01-23 | 上海申通地铁集团有限公司 | General software system of ticket vending and checking machine |
| CN114710505A (en) * | 2022-04-02 | 2022-07-05 | 杭州云象网络技术有限公司 | Method and system for realizing ecological safety supervision of digital RMB (national currency) based on block chain |
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Application publication date: 20190709 |