CN106845801A - A kind of railway adjusts machine operation efficiency statistical analysis technique - Google Patents

A kind of railway adjusts machine operation efficiency statistical analysis technique Download PDF

Info

Publication number
CN106845801A
CN106845801A CN201611250065.7A CN201611250065A CN106845801A CN 106845801 A CN106845801 A CN 106845801A CN 201611250065 A CN201611250065 A CN 201611250065A CN 106845801 A CN106845801 A CN 106845801A
Authority
CN
China
Prior art keywords
shunter
data
time
database
efficiency
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
CN201611250065.7A
Other languages
Chinese (zh)
Inventor
赵东源
高瑞强
周勇
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.)
HENAN THINKING INFORMATION TECHNOLOGY Co Ltd
Original Assignee
HENAN THINKING INFORMATION TECHNOLOGY Co Ltd
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 HENAN THINKING INFORMATION TECHNOLOGY Co Ltd filed Critical HENAN THINKING INFORMATION TECHNOLOGY Co Ltd
Priority to CN201611250065.7A priority Critical patent/CN106845801A/en
Publication of CN106845801A publication Critical patent/CN106845801A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06313Resource planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/40Business processes related to the transportation industry

Landscapes

  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Engineering & Computer Science (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

A kind of railway adjusts machine operation efficiency statistical analysis technique, and shunter log data is obtained from the LKJ log data files recorded on LKJ operation recording devices;Shunter log data is processed:Database is pre-build, the parameter retrieved to the critical data in shunter log data is set in database, according to the critical data of different parameter acquiring shunter log datas, by critical data storage in database;The corresponding critical data of different parameters to being stored in database carries out statistical computation, obtains the Efficiency Statistics object of shunter, and the data write into Databasce that will be obtained as key message with engine number, time, Efficiency Statistics object.The present invention can optimize shunter allotment mechanism, and the wasting of resources situation of shunter is reduced to greatest extent, make great efforts to improve the utilization ratio of each place shunter.

Description

A kind of railway adjusts machine operation efficiency statistical analysis technique
Technical field
The present invention relates to a kind of railway shunting machine operation efficiency statistical analysis technique.
Background technology
Shunter is used exclusively for marshalling yard or switchyard and carries out the locomotive of train marshalling list, disassembling operation.Shunter just as It is compartment porter, is responsible for one by one decomposing the compartment for arriving at a station, then transport to the goods yard or destination for needing to reach.Meanwhile, also bear A row are weaved into the compartment of decomposition by duty, are sent on bigger locomotive engine, then transport to all parts of the country.In each locomotive depot, adjust Car machine is to need to rent, and more than ten thousand yuan, shunter is rented to the daily car rental cost of each shunter by most locomotive depots year Expense more than annual hundred million yuan, and shunter it is daily should the working time at 22 more than hour, but in reality, usually there is tune Not going into operation for car machine, only strikes sparks and pretends open state, but be practically in state as you were;Or some locomotive depots are due to industry Business is less, and required rental shunter number is less, and leasing excessive shunter can cause to waste, and cause the interests of lease side to be subject to Very big loss.
The content of the invention
The present invention provides a kind of method being analyzed to the working time of shunter and operating efficiency, to solve existing skill The problem that art is present.
In order to solve the above technical problems, the present invention uses following technical scheme:
A kind of railway adjusts machine operation efficiency statistical analysis technique,
Data are obtained from data source:Shunter is obtained from the LKJ log data files recorded on LKJ operation recording devices Log data;
Shunter log data is processed:Database is pre-build, is set in database to shunter log The parameter that critical data in data is retrieved, the parameter refers to, for each Efficiency Statistics object, to carry out information retrieval Parameter, according to the critical data of different parameter acquiring shunter log datas, by critical data storage in database In;
Calculate shunter operating efficiency:The corresponding critical data of different parameters to being stored in database carries out statistical computation, obtains Take the working time of shunter, stop wheel time, engine number, traction ton kilometre number, running kilometre number, commutation number of times, and with locomotive Number, the time, Efficiency Statistics object be key message will obtain data write into Databasce;
Data to write into Databasce are analyzed:Respectively in units of shunter, fleet, station, section, locomotive depot, road bureau, Collect statistics are carried out to the efficiency of the affiliated shunter of constituent parts according to shunter membership information, shunting for its constituent parts is calculated Machine average operation efficiency, sends to client and shows.
When the stopping the wheel time of shunter of calculating, stop the wheel time does not include in shunter less than wheel time that stops of given threshold Stop in the wheel time, only calculate and be not less than the shunter of given threshold and stop the wheel time.
During the calculating shunter running kilometre number, combined by timely speed and run time, obtain running kilometre number, I.e. with shunter travel time as time shaft, the different speeds of travel and walking under the speed in acquisition shunter walking process Time, the product and acquisition running kilometre number according to friction speed and correspondence time.
During the working time of statistical computation shunter, class's time shunter data are split according to the group of shunter, It is accurate to calculate the shunter daily working time.
Beneficial effects of the present invention:Based on shunter data, the handling situations for shunter are analyzed, retrieval Go out the wherein not full locomotive of live load, count the shunter whole work efficiency of each operating location, optimization shunter allotment Mechanism, reduces the wasting of resources situation of shunter to greatest extent, makes great efforts to improve the utilization ratio of each place shunter.
Brief description of the drawings
Fig. 1 is system construction drawing of the invention.
Specific embodiment
The present invention is described in further detail with reference to the accompanying drawings and detailed description.
The method that operation efficiency to shunter of the invention carries out statistical analysis is:
Data are obtained from data source:The data of the data source are the storage device records on car during service on buses or trains of shunter LKJ service datas, usually driver's IC-card, after the information in IC-card is read in the file server of processing server, makes Shunter log data is obtained from LKJ log data files with data server.
Shunter log data is processed:Database is set up in processing server in advance, in the database Different parameter types are set, for being retrieved to the critical data in shunter log data according to different parameters Extract, these parameters refer to, for each Efficiency Statistics object, to carry out the parameter of information retrieval, can according to different parameter or The object of certain operation efficiency of shunter, critical data are counted in the combination acquisition shunter log data of the several parameters of person After extracting, it is respectively stored in database.For example, when the wheel time is stopped by extracting shunter data acquisition, with pre- The motor speed value being first arranged in database and time are parameter, such as according to above-mentioned two parameter by shunter data Time when motor speed is zero all extracts, and calculate in each continuous time stopping take turns total time, as stop wheel when Between Efficiency Statistics object.
When calculating shunter operating efficiency, the corresponding critical data of different parameters to being stored respectively in database is united Meter is calculated, and obtains the objects of statistics for characterizing shunter operation efficiency:The working time of shunter, stop wheel time, engine number, traction Ton kilometre number, running kilometre number, commutation number of times, then with engine number, the time, Efficiency Statistics object be key message by acquisition Data write into Databasce;Shunter data file transition is also stored to archive catalogue the inside into tabular form file simultaneously, for adjusting Car job analysis client reads.Shunting service analyzes client according to the condition that user inquires about to retrieve the data letter of correlation Breath, and data summarization is counted, form final statistics user is shown in client.
Data to write into Databasce are analyzed:It is with shunter, fleet, station, section, locomotive depot, road bureau respectively Unit, collect statistics are carried out according to shunter membership information to the efficiency of the affiliated shunter of constituent parts, calculate its constituent parts Shunter operation efficiency, send to client and show.
Stop the wheel time because shunter midway has, but the of short duration wheel time that stops is probably driver's pause or other Reason, can not count as real the carrying out for stopping the wheel time.Therefore, it is above-mentioned to calculate when stopping the wheel time of shunter, stop The wheel time does not include and stops in the wheel time in shunter less than the wheel time that stops of given threshold, only calculates and is not less than shunting for given threshold Machine stops the wheel time.And this threshold value may be configured as 20 minutes.Calculated by the wheel time that always stops to each shunter, can be with Calculate certain shunter always stopping the wheel time in the course of the work, judgement is whether stop the wheel time excessive, and then judges shunter Quantity whether saturation.
Running kilometre number is the milimeter number of shunter walking, and the walking that can be counted in the shunter course of work altogether is long Degree, if while the shunter works many days, can calculate the average daily running kilometre number of shunter machine, judges shunter Walking operating efficiency, when calculating shunter running kilometre number, combined by timely speed and run time, obtain running kilometre Number, i.e., with shunter travel time as time shaft, the different speeds of travel and the speed are descending in acquisition shunter walking process The time walked, the product and acquisition running kilometre number according to friction speed and correspondence time.
Traction ton kilometre number refers to that shunter transports the tonnage of goods and the product of milimeter number, can be according to record in IC-card Data are calculated.
In said process, system is supported to send class's time according to daily shunter to carry out shunter file according to the time Segmentation, the operating efficiency of the shunter is calculated according to two parts data after segmentation respectively.
After client end interface is shown on the display screen of industrial computer, can be carried out by these shunter data Data abnormal conditions can be further searched for by analysis, can find specific locomotive and specific time, place.
Above-described is only the preferred embodiment of the present invention, it is noted that for a person skilled in the art, Under the premise of general idea of the present invention is not departed from, some changes and improvements can also be made, these should also be considered as of the invention Protection domain.

Claims (4)

1. a kind of railway adjusts machine operation efficiency statistical analysis technique, it is characterised in that:
Data are obtained from data source:Shunter is obtained from the LKJ log data files recorded on LKJ operation recording devices Log data;
Shunter log data is processed:Database is pre-build, is set in database to shunter log The parameter that critical data in data is retrieved, the parameter refers to, for each Efficiency Statistics object, to carry out information retrieval Parameter, according to the critical data of different parameter acquiring shunter log datas, by critical data storage in database In;
Calculate shunter operating efficiency:The corresponding critical data of different parameters to being stored in database carries out statistical computation, obtains Take the working time of shunter, stop wheel time, engine number, traction ton kilometre number, running kilometre number, commutation number of times, and with locomotive Number, the time, Efficiency Statistics object be key message will obtain data write into Databasce;
Data to write into Databasce are analyzed:Respectively in units of shunter, fleet, station, section, locomotive depot, road bureau, Collect statistics are carried out to the efficiency of the affiliated shunter of constituent parts according to shunter membership information, shunting for its constituent parts is calculated Machine average operation efficiency, sends to client and shows.
2. a kind of railway according to claim 1 adjusts machine operation efficiency statistical analysis technique, it is characterised in that:
It is described calculating when stopping the wheel time of shunter, stop the wheel time less than given threshold stop the wheel time do not include shunter stop wheel In time, only calculate and be not less than the shunter of given threshold and stop the wheel time.
3. a kind of railway according to claim 1 adjusts machine operation efficiency statistical analysis technique, it is characterised in that:
During the calculating shunter running kilometre number, combined by timely speed and run time, obtain running kilometre number, i.e., with Shunter travel time is time shaft, obtain walked under the different speed of travel and the speed in shunter walking process when Between, the product and acquisition running kilometre number according to friction speed and correspondence time.
4. a kind of railway according to claim 1 adjusts machine operation efficiency statistical analysis technique, it is characterised in that:
During the working time of statistical computation shunter, class's time shunter data are split according to the group of shunter, accurately Calculate the shunter daily working time.
CN201611250065.7A 2016-12-29 2016-12-29 A kind of railway adjusts machine operation efficiency statistical analysis technique Pending CN106845801A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611250065.7A CN106845801A (en) 2016-12-29 2016-12-29 A kind of railway adjusts machine operation efficiency statistical analysis technique

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611250065.7A CN106845801A (en) 2016-12-29 2016-12-29 A kind of railway adjusts machine operation efficiency statistical analysis technique

Publications (1)

Publication Number Publication Date
CN106845801A true CN106845801A (en) 2017-06-13

Family

ID=59113984

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611250065.7A Pending CN106845801A (en) 2016-12-29 2016-12-29 A kind of railway adjusts machine operation efficiency statistical analysis technique

Country Status (1)

Country Link
CN (1) CN106845801A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN111645730A (en) * 2020-06-16 2020-09-11 武汉钢铁有限公司 Locomotive operation efficiency analysis system
CN114524004A (en) * 2022-01-04 2022-05-24 国能包神铁路集团有限责任公司 Statistical method, device, equipment and storage medium for locomotive operation

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101916402A (en) * 2010-08-03 2010-12-15 中南大学 Railway marshalling and shunting method
CN102887159A (en) * 2012-09-25 2013-01-23 中国铁道科学研究院 Method and device for railway vehicle tracking and planned reporting
US20150310571A1 (en) * 2014-04-28 2015-10-29 Elwha Llc Methods, systems, and devices for machines and machine states that facilitate modification of documents based on various corpora
CN105989456A (en) * 2015-02-11 2016-10-05 成都诺铱科技有限公司 Logistics multistage shunting distribution process

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101916402A (en) * 2010-08-03 2010-12-15 中南大学 Railway marshalling and shunting method
CN102887159A (en) * 2012-09-25 2013-01-23 中国铁道科学研究院 Method and device for railway vehicle tracking and planned reporting
US20150310571A1 (en) * 2014-04-28 2015-10-29 Elwha Llc Methods, systems, and devices for machines and machine states that facilitate modification of documents based on various corpora
CN105989456A (en) * 2015-02-11 2016-10-05 成都诺铱科技有限公司 Logistics multistage shunting distribution process

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
张大鹏: "基于DGPS技术的铁路车站调车作业监测系统设计", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN111645730A (en) * 2020-06-16 2020-09-11 武汉钢铁有限公司 Locomotive operation efficiency analysis system
CN114524004A (en) * 2022-01-04 2022-05-24 国能包神铁路集团有限责任公司 Statistical method, device, equipment and storage medium for locomotive operation
CN114524004B (en) * 2022-01-04 2023-06-20 国能包神铁路集团有限责任公司 Locomotive operation statistical method, device, equipment and storage medium

Similar Documents

Publication Publication Date Title
US6637703B2 (en) Yard tracking system
CN106845801A (en) A kind of railway adjusts machine operation efficiency statistical analysis technique
CN103208055A (en) Intelligent railway transport logistics dispatching system and locomotive location tracking method thereof
US20070276555A1 (en) Data integrity improvements of rail car identification process in localities having adjacent railway tracks
Agunloye et al. Factors influencing the quality of rail transport services in metropolitan Lagos
CN105493135A (en) Fee refund system, and method for same
JP5941771B2 (en) Delay loss evaluation apparatus, delay loss calculation and display method
AU2002235233B2 (en) Yard tracking system
CN117115562B (en) Inbound railway freight train carriage counting method based on deep learning
CN111277668A (en) System suitable for ITCS vehicle-mounted log intelligent analysis
Sameni et al. Profit-generating capacity for a freight railroad
CN107563686A (en) A kind of railway transportation stearic alcohol data verification method, system and storage medium
CN106845743A (en) A kind of EMUs driver manipulation information moves back diligent analysis method and its system
Van Oort et al. Ridership evaluation and prediction in public transport by processing smart card data: a Dutch approach and example
Joborn et al. Understanding causes of unpunctual trains: Delay contribution and critical disturbances
Židová et al. The impact of the use of technology in international rail freight transport on transport processes
CN1256255C (en) Marshalling station comprehensive integrated automation system
Morant et al. Cloud computing for maintenance of railway signalling systems
CN110228508B (en) Train passing message abnormity detection method and detection device
CN103679347A (en) Heavy-load train smooth control recording and analyzing system and method
Kozachenko et al. Improving the methods of estimation of the unit train effectiveness
Longo et al. Estimating train motion using detailed sensor data
Xin et al. Research on the big data platform and its key technologies for the railway locomotive system
Chechenova Artificial Intelligence as a Basic Resource of Modern Transport Infrastructure
RU2738778C1 (en) Railroad network direction control system based on cars virtual sorting

Legal Events

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

Application publication date: 20170613