CN104751602A - Big data concept based railway geological disaster early warning system - Google Patents

Big data concept based railway geological disaster early warning system Download PDF

Info

Publication number
CN104751602A
CN104751602A CN201510098198.6A CN201510098198A CN104751602A CN 104751602 A CN104751602 A CN 104751602A CN 201510098198 A CN201510098198 A CN 201510098198A CN 104751602 A CN104751602 A CN 104751602A
Authority
CN
China
Prior art keywords
railway
geological disaster
data
large data
warning system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201510098198.6A
Other languages
Chinese (zh)
Inventor
朱尔玉
刘中豪
王宏亮
潘卫兵
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Jiaotong University
Original Assignee
Beijing Jiaotong University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Jiaotong University filed Critical Beijing Jiaotong University
Priority to CN201510098198.6A priority Critical patent/CN104751602A/en
Publication of CN104751602A publication Critical patent/CN104751602A/en
Pending legal-status Critical Current

Links

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B61RAILWAYS
    • B61LGUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
    • B61L23/00Control, warning, or like safety means along the route or between vehicles or vehicle trains
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/02Alarms for ensuring the safety of persons
    • G08B21/10Alarms for ensuring the safety of persons responsive to calamitous events, e.g. tornados or earthquakes

Abstract

The invention discloses a big data concept based railway geological disaster early warning system and belongs to the technical field of railway geological disaster early warning. The big data concept based railway geological disaster early warning system comprises a railway data mining system (1), a railway big data storage system (2), a railway big data analysis system (3) and a railway big data geological disaster early warning system (4) and is characterized in that railway geological disaster early warning big data streams are created by adopting multiple means, the big data streams collected by the system are processed by adopting a cloud storage technology, a cloud computing distributed processing technology, a virtualization technology and the like, and the data required by the railway geological disaster early warning system are quickly formed. The system is huge in data amount, various in data types, high in data processing speed and capable of achieving timely and accurate railway geological disaster early warning. The big data concept based railway geological disaster early warning system is reasonable in design, good in applicability, high in reliability and convenient to popularize and apply.

Description

A kind of railway Geological Disaster Warning System based on large data theory
Technical field
The invention belongs to railway geo-hazard early-warning technical field, relate to a kind of railway Geological Disaster Warning System based on large data theory.
Background technology
China is located in circum-Pacific tectonic belt and Himalaya structural belt converges position, and the underriding of Pacific-oceanic plate and Indian make China's Mainland subject topmost geodynamic effect to the collision of Asiatic plate northwards.These two kinds of active tectonic zones converge and west rises eastern physical features contrast of falling, and not only define the elementary contour of Tectonics of China and landform, are also form the miscellaneous basic reason of China's geologic hazard simultaneously.
In order to forecast with unerring accuracy to geologic hazard, Chinese scholars has carried out large quantifier elimination, such as utility model patent " Geological Hazards Monitoring early warning system " (application number: 201120283972.8) disclose a kind of Geological Hazards Monitoring early warning system, establish a set of geo-hazard early-warning monitoring system of carrying out detecting for surface displacement, solving the geologic hazard that caused by surface displacement can not the problem of accurately and timely prediction.Patent of invention " a kind of geologic hazard Real-Time Monitoring and early warning system " (application number: 201110374375.0) disclose a kind of geologic hazard Real-Time Monitoring and early warning system, comprise monitoring subsystem, data center subsystem, early warning subsystem and communication network, disaster monitoring and early warning information are timely provided, improve the work efficiency of disaster monitoring and early warning, to reduce the life and property loss that geologic hazard causes.
China not yet sets up railway Geological Disaster Warning System.Safety is transportation by railroad basis.Railway, because train speed is fast, density is high, is had higher requirement to travel safety ensuring system.In the disaster affecting railway operation safety, geologic hazard is the less but larger disaster of harm of a kind of probability of happening.Train in railway operation has huge inertia, when there is the geologic hazards such as surface collapse, sedimentation, avalanche, landslide along the railway, slows down in time or stops significant for railway operation safety.
The Geological Disaster Warning System just come into operation both at home and abroad at present, in Data Collection, be generally utilize monitoring station to obtain, the data volume obtained is little, data type is single, the multiple geologic hazard simultaneously cannot brought out under the acting in conjunction of Accurate Prediction many factors.In data management, because failing the potential value of abundant mining data by the restriction of data-handling capacity, data processing cycle is longer.Along with the arriving in cloud epoch, under the promoting technology being representative with cloud computing, large data technique is subject to the extensive concern of Chinese scholars.The feature of large data may be summarized to be that data volume is huge, data type is various, treatment cycle is short, large data technique refers in dissimilar mass data, fast processing obtains the ability of potential valuable information, the data being originally difficult to Collection and use are made to start easily to be utilized, fast processing mass data can also arrange the foundation becoming railway Geological Disaster Warning System and need in the short period of time, in railway Geological Disaster Warning System, there is great application potential.
Therefore, invent a kind of railway Geological Disaster Warning System based on large data theory and seem particularly important.
Summary of the invention
The key issue that the present invention will solve is for above-mentioned the deficiencies in the prior art, a kind of railway Geological Disaster Warning System based on large data theory is proposed, its data type is many, data volume is large, data processing cycle is short, analysis result fast and accurately can be drawn to imminent geologic hazard, and timely and accurately emergency deceleration or cutoff command be sent to the train that railway is running according to analysis result.
For solving above-mentioned key technical problem, invent a kind of railway Geological Disaster Warning System based on large data theory, it is characterized in that: based on the railway Geological Disaster Warning System of large data theory by the large data digging system 1 of railway, the large data-storage system 2 of railway, the large data analysis system 3 of railway, the large data Geological Disaster Warning System 4 of railway forms, system data amount is huge, data type is various, data processing cycle is short, analysis result fast and accurately can be drawn to imminent geologic hazard, and timely and accurately emergency deceleration or cutoff command are sent to the train that railway is running according to analysis result.
A kind of railway Geological Disaster Warning System based on large data theory, it is characterized in that: the large data digging system 1 of described railway, with geologic hazard research station co-operation, gather by gps system, mobile Internet etc. the geologic hazard that design, construction and the data of operation aspect and geologic hazard research station capture and bring out information creating railway geo-hazard early-warning high amount of traffic.
Based on a railway Geological Disaster Warning System for large data theory, it is characterized in that: the large data-storage system 2 of described railway, comprise cloud and store computing platform, internet and extendible storage system; Rapid, intelligently can read and write operation to railway geo-hazard early-warning high amount of traffic.
Based on a railway Geological Disaster Warning System for large data theory, it is characterized in that: the large data analysis system 3 of described railway, energy accurate discrimination noise data, effectively carries out the pretreatment work such as data cleansing; Can process mass data fast, extraction and integrated is carried out to the data source of extensive isomery; Rely on the distributed proccessing of cloud computing and Intel Virtualization Technology etc. to systematic collection to high amount of traffic handle it, form real-time analysis report.
A kind of railway Geological Disaster Warning System based on large data theory, it is characterized in that: the large data Geological Disaster Warning System 4 of described railway, be connected with the terminal of railway signal train control system, emergency deceleration or cutoff command are sent to the train that railway is running.
The above-mentioned railway Geological Disaster Warning System based on large data theory, can draw analysis result fast and accurately to imminent geologic hazard, and sends emergency deceleration or cutoff command to the train that railway is running timely and accurately according to analysis result.
The present invention is reasonable in design, and applicability is strong, and good reliability, has wide practical use.
Accompanying drawing explanation
Below in conjunction with accompanying drawing, the present invention is further illustrated.
Fig. 1 is the railway Geological Disaster Warning System theory diagram based on large data theory.
In figure: the large data digging system of 1-railway; The large data-storage system of 2-railway; The large data analysis system of 3-railway; The large data Geological Disaster Warning System of 4-railway.
Embodiment
Certain geologic hazard prone areas, for ensureing the security of operation of railroad train, employs the railway Geological Disaster Warning System based on large data theory that this patent provides.
Implementation step:
The large data digging system of step one railway 1 and geologic hazard research station co-operation, information creating railway geo-hazard early-warning high amount of traffic is brought out in the geologic hazard that the design gathered by gps system, mobile Internet etc., construction and operation aspect data and geologic hazard research station capture.
The large data-storage system 2 of step 2 railway reads and writes operation to railway geo-hazard early-warning high amount of traffic rapidly, intelligently.
Step 3 railway large data analysis system 3 accurate discrimination noise data, effectively carry out data cleansing, fast mass data is processed, extraction and integrated is carried out to the data source of extensive isomery, rely on the distributed proccessing of cloud computing and Intel Virtualization Technology etc. to systematic collection to high amount of traffic handle it, form real-time analysis report.
The large data Geological Disaster Warning System 4 of step 4 railway, according to being about to the analysis result that geologic hazard occurs, sends emergency deceleration or cutoff command to the railroad train run, to ensure train operating safety by the terminal of railway signal train control system.
Above-described specific implementation method, is illustrated the object of patent of the present invention, technical scheme and beneficial effect.It is emphasized that the foregoing is only the specific embodiment of patent of the present invention, can not be used for limiting the scope of the invention.Within the spirit and principles in the present invention all, any amendment made, equivalent replacement or improvement etc., all should be included within protection scope of the present invention.
In sum, the invention provides a kind of railway Geological Disaster Warning System based on large data theory, use this system realization railway geo-hazard early-warning promptly and accurately.The present invention has novelty, practicality, meets each requirement of patent of invention, therefore proposes application for a patent for invention in accordance with the law.

Claims (5)

1. the railway Geological Disaster Warning System based on large data theory, it is characterized in that: based on the railway Geological Disaster Warning System of large data theory by the large data digging system of railway (1), the large data-storage system of railway (2), the large data analysis system of railway (3), large data Geological Disaster Warning System (4) composition of railway, system data amount is huge, data type is various, data processing cycle is short, analysis result fast and accurately can be drawn to imminent geologic hazard, and timely and accurately emergency deceleration or cutoff command are sent to the train that railway is running according to analysis result.
2. according to a kind of railway Geological Disaster Warning System based on large data theory according to claim 1, it is characterized in that: the large data digging system of described railway (1), with geologic hazard research station co-operation, gather by gps system, mobile Internet etc. the geologic hazard that design, construction and the data of operation aspect and geologic hazard research station capture and bring out information creating railway geo-hazard early-warning high amount of traffic.
3. according to a kind of railway Geological Disaster Warning System based on large data theory according to claim 1, it is characterized in that: the large data-storage system of described railway (2), comprise cloud and store computing platform, internet and extendible storage system; Operation can be read and write rapidly, intelligently to railway geo-hazard early-warning high amount of traffic.
4. according to a kind of railway Geological Disaster Warning System based on large data theory according to claim 1, it is characterized in that: the large data analysis system of described railway (3), energy accurate discrimination noise data, effectively carries out the pretreatment work such as data cleansing; Can process mass data fast, extraction and integrated is carried out to the data source of extensive isomery; Rely on the distributed proccessing of cloud computing and Intel Virtualization Technology etc. to systematic collection to high amount of traffic handle it, form real-time analysis report.
5. according to a kind of railway Geological Disaster Warning System based on large data theory according to claim 1, it is characterized in that: the large data Geological Disaster Warning System (4) of described railway, be connected with the terminal of railway signal train control system, emergency deceleration or cutoff command are sent to the train that railway is running.
CN201510098198.6A 2015-03-05 2015-03-05 Big data concept based railway geological disaster early warning system Pending CN104751602A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510098198.6A CN104751602A (en) 2015-03-05 2015-03-05 Big data concept based railway geological disaster early warning system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510098198.6A CN104751602A (en) 2015-03-05 2015-03-05 Big data concept based railway geological disaster early warning system

Publications (1)

Publication Number Publication Date
CN104751602A true CN104751602A (en) 2015-07-01

Family

ID=53591214

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510098198.6A Pending CN104751602A (en) 2015-03-05 2015-03-05 Big data concept based railway geological disaster early warning system

Country Status (1)

Country Link
CN (1) CN104751602A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105549587A (en) * 2015-12-09 2016-05-04 北京交控科技股份有限公司 Train autopilot control method and train autopilot control system for rainy or snowy days
CN106886840A (en) * 2017-02-23 2017-06-23 上海喆之信息科技有限公司 A kind of earthquake early-warning system based on big data theory
RU180631U1 (en) * 2017-06-07 2018-06-19 Открытое Акционерное Общество "Российские Железные Дороги" Warning device on the fall of foreign objects on the way
RU183223U1 (en) * 2017-06-07 2018-09-13 Открытое Акционерное Общество "Российские Железные Дороги" Foreign objects fall warning device
CN108961688A (en) * 2018-07-13 2018-12-07 福建特力惠信息科技股份有限公司 A kind of big data support under Geological Hazards Monitoring and method for early warning
CN112298283A (en) * 2020-07-13 2021-02-02 上海悠络客电子科技股份有限公司 Railway auxiliary system based on big data
US11169269B2 (en) 2019-05-16 2021-11-09 Tetra Tech, Inc. System and method for generating and interpreting point clouds of a rail corridor along a survey path
US11196981B2 (en) 2015-02-20 2021-12-07 Tetra Tech, Inc. 3D track assessment apparatus and method
US11305799B2 (en) 2018-06-01 2022-04-19 Tetra Tech, Inc. Debris deflection and removal method for an apparatus and method for gathering data from sensors oriented at an oblique angle relative to a railway track
US11377130B2 (en) 2018-06-01 2022-07-05 Tetra Tech, Inc. Autonomous track assessment system

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201732170U (en) * 2010-07-29 2011-02-02 中国铁道科学研究院电子计算技术研究所 Railway earthquake monitoring and emergency treatment system
CN201800737U (en) * 2010-09-21 2011-04-20 中国铁道科学研究院电子计算技术研究所 Railway disaster prevention safety monitoring system
CN201820337U (en) * 2010-10-28 2011-05-04 成都智胜通科技有限责任公司 Railway geological disaster forecasting and monitoring system
CN202093657U (en) * 2011-06-24 2011-12-28 福州富海电子科技有限公司 Novel intelligent real-time monitoring and pre-warning system for geological environment
CN203118168U (en) * 2012-12-27 2013-08-07 同方威视技术股份有限公司 High speed railway disaster prevention safety monitoring three-level alarm system
CN103978996A (en) * 2014-05-15 2014-08-13 南京理工大学 High speed railway environmental information collection, assessment and early warning device and method
CN104157099A (en) * 2014-08-28 2014-11-19 蒋和平 Railway disaster prevention monitoring system and method based on Internet of Things
JP2014228325A (en) * 2013-05-21 2014-12-08 公益財団法人鉄道総合技術研究所 Detection of natural disaster other than earthquake using seismometer, and alarm output method to train

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201732170U (en) * 2010-07-29 2011-02-02 中国铁道科学研究院电子计算技术研究所 Railway earthquake monitoring and emergency treatment system
CN201800737U (en) * 2010-09-21 2011-04-20 中国铁道科学研究院电子计算技术研究所 Railway disaster prevention safety monitoring system
CN201820337U (en) * 2010-10-28 2011-05-04 成都智胜通科技有限责任公司 Railway geological disaster forecasting and monitoring system
CN202093657U (en) * 2011-06-24 2011-12-28 福州富海电子科技有限公司 Novel intelligent real-time monitoring and pre-warning system for geological environment
CN203118168U (en) * 2012-12-27 2013-08-07 同方威视技术股份有限公司 High speed railway disaster prevention safety monitoring three-level alarm system
JP2014228325A (en) * 2013-05-21 2014-12-08 公益財団法人鉄道総合技術研究所 Detection of natural disaster other than earthquake using seismometer, and alarm output method to train
CN103978996A (en) * 2014-05-15 2014-08-13 南京理工大学 High speed railway environmental information collection, assessment and early warning device and method
CN104157099A (en) * 2014-08-28 2014-11-19 蒋和平 Railway disaster prevention monitoring system and method based on Internet of Things

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11196981B2 (en) 2015-02-20 2021-12-07 Tetra Tech, Inc. 3D track assessment apparatus and method
US11399172B2 (en) 2015-02-20 2022-07-26 Tetra Tech, Inc. 3D track assessment apparatus and method
US11259007B2 (en) 2015-02-20 2022-02-22 Tetra Tech, Inc. 3D track assessment method
CN105549587A (en) * 2015-12-09 2016-05-04 北京交控科技股份有限公司 Train autopilot control method and train autopilot control system for rainy or snowy days
CN106886840A (en) * 2017-02-23 2017-06-23 上海喆之信息科技有限公司 A kind of earthquake early-warning system based on big data theory
RU183223U1 (en) * 2017-06-07 2018-09-13 Открытое Акционерное Общество "Российские Железные Дороги" Foreign objects fall warning device
RU180631U1 (en) * 2017-06-07 2018-06-19 Открытое Акционерное Общество "Российские Железные Дороги" Warning device on the fall of foreign objects on the way
US11305799B2 (en) 2018-06-01 2022-04-19 Tetra Tech, Inc. Debris deflection and removal method for an apparatus and method for gathering data from sensors oriented at an oblique angle relative to a railway track
US11377130B2 (en) 2018-06-01 2022-07-05 Tetra Tech, Inc. Autonomous track assessment system
CN108961688B (en) * 2018-07-13 2020-11-03 特力惠信息科技股份有限公司 Geological disaster monitoring and early warning method under support of big data
CN108961688A (en) * 2018-07-13 2018-12-07 福建特力惠信息科技股份有限公司 A kind of big data support under Geological Hazards Monitoring and method for early warning
US11169269B2 (en) 2019-05-16 2021-11-09 Tetra Tech, Inc. System and method for generating and interpreting point clouds of a rail corridor along a survey path
CN112298283A (en) * 2020-07-13 2021-02-02 上海悠络客电子科技股份有限公司 Railway auxiliary system based on big data

Similar Documents

Publication Publication Date Title
CN104751602A (en) Big data concept based railway geological disaster early warning system
CN104698936A (en) Big data concept-based bridge structure health monitoring system
CN104680722A (en) High-speed rail earthquake early warning system based on big data idea
CN107054411B (en) A kind of Along Railway snow disaster unmanned plane snow depth intelligent measure and Forecasting Methodology and system
CN204173033U (en) A kind of laser radar robot
CN205229000U (en) City haze monitoring system based on GPRS
CN201689541U (en) Data acquisition terminal for high speed railway safety monitoring system
CN204269106U (en) A kind of tunnel-type change monitoring system based on CORS base station
CN104732074A (en) Bridge structure damage recognition system based on big data concept
CN102254050A (en) System for forecasting impact mine pressure
CN204700372U (en) A kind of building pipe cutter sweep
CN107506428A (en) A kind of police service data handling utility system
CN204215259U (en) A kind of high-speed railway weather monitoring system
CN203259855U (en) TD-LTE network-based environment monitoring system
CN203295925U (en) Practical overflowing pipe of asphalt stirring device
CN204983209U (en) Lead core junked tire shock insulation pad
CN205103997U (en) High -speed railway sensor on -line monitoring of system equipment of prevening disaster
CN203006073U (en) Green brick transporter
CN205158475U (en) Developments speed limit warning vehicle traveling data recorder
CN203529767U (en) Overhead travelling crane with balance device
CN103077270B (en) Method for determining highest risk surface of side slope
CN204309811U (en) Based on the safety of subway operation intelligent monitor system of Internet of Things and computing machine
Yu et al. The design of gas monitoring system based on the prediction model
CN205362874U (en) Roll saw cutting auxiliary device
CN203646915U (en) Form filling table for bank

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20150701

RJ01 Rejection of invention patent application after publication