CN113627955B - Railway traceability analysis system and method - Google Patents
Railway traceability analysis system and method Download PDFInfo
- Publication number
- CN113627955B CN113627955B CN202110917751.XA CN202110917751A CN113627955B CN 113627955 B CN113627955 B CN 113627955B CN 202110917751 A CN202110917751 A CN 202110917751A CN 113627955 B CN113627955 B CN 113627955B
- Authority
- CN
- China
- Prior art keywords
- target
- area
- railway
- tracing
- train
- 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.)
- Active
Links
- 238000004458 analytical method Methods 0.000 title claims abstract description 287
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000011160 research Methods 0.000 claims abstract description 162
- 238000012216 screening Methods 0.000 claims abstract description 43
- 235000019580 granularity Nutrition 0.000 claims description 102
- 238000013507 mapping Methods 0.000 claims description 56
- 230000000007 visual effect Effects 0.000 claims description 12
- 230000000694 effects Effects 0.000 abstract description 2
- 238000013461 design Methods 0.000 description 10
- 238000010586 diagram Methods 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 9
- 238000010276 construction Methods 0.000 description 4
- 238000011835 investigation Methods 0.000 description 4
- 238000001914 filtration Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 3
- 230000008520 organization Effects 0.000 description 3
- 239000000969 carrier Substances 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 238000007619 statistical method Methods 0.000 description 2
- 238000000547 structure data Methods 0.000 description 2
- 241000239290 Araneae Species 0.000 description 1
- 229920000742 Cotton Polymers 0.000 description 1
- 229910019142 PO4 Inorganic materials 0.000 description 1
- 239000003245 coal Substances 0.000 description 1
- 239000000571 coke Substances 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003337 fertilizer Substances 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 239000000575 pesticide Substances 0.000 description 1
- 239000003208 petroleum Substances 0.000 description 1
- NBIIXXVUZAFLBC-UHFFFAOYSA-K phosphate Chemical compound [O-]P([O-])([O-])=O NBIIXXVUZAFLBC-UHFFFAOYSA-K 0.000 description 1
- 239000010452 phosphate Substances 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 150000003839 salts Chemical class 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/018—Certifying business or products
-
- 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
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/40—Business processes related to the transportation industry
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Marketing (AREA)
- Databases & Information Systems (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- General Business, Economics & Management (AREA)
- Remote Sensing (AREA)
- Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Train Traffic Observation, Control, And Security (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a railway train traceability analysis system and a method, which relate to the technical field of traffic flow traceability analysis and comprise the following steps: firstly, determining a target area, target traceability content and traceability analysis content corresponding to research requirements; the target tracing content comprises a target railway train type and a target class type; then screening data in a database by taking a target area, target traceability content and target traceability analysis mode corresponding to the research requirements as constraint conditions so as to determine railway train operation data and/or passenger and cargo carrying path data corresponding to the research requirements; finally, based on the railway train operation data corresponding to the research requirements, the target railway train traceability data is counted and visually displayed, and/or based on the passenger and cargo carrying path data corresponding to the research requirements, the target class traceability data is counted and visually displayed. The invention has the technical effect of carrying out highly self-defined quick traceability analysis on national railway trains and/or class transport capacity.
Description
Technical Field
The invention relates to the technical field of traffic flow traceability analysis, in particular to a railway traceability analysis system and method.
Background
The tracing technology in the traffic field is a technology for tracing and restoring traffic flow sources, directions, routes and flow distribution of vehicles based on traffic vehicles and related equipment information, and features of source flows operated by a traffic system are characterized by tracing a large number of tracks.
In recent years, due to the rapid development of high-speed rail construction and bulk freight transportation, railway traffic mode has gradually become the first traffic mode for daily travel of residents and freight operation, but the tracing analysis technology of railway trains is quite few.
Disclosure of Invention
In view of the above, the invention provides a railway traceability analysis system and a railway traceability analysis method.
In order to achieve the above object, the present invention provides the following solutions:
a railroad train traceability analysis system comprising:
a target area selection module, configured to:
selecting a target region corresponding to the research requirement according to different region granularities;
the research requirements at least comprise a target area and target traceability content; the target tracing content is at least one of a target railway train type and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
The target traceability content selection module is used for:
selecting a target railway train type corresponding to the research requirement according to different vehicle types;
and/or selecting the type of the target product corresponding to the research requirement according to different classification granularities;
the target class type comprises passenger class, freight class, passenger subclass and freight subclass; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, a express train, a direct train and other trains;
the tracing analysis mode selection module is used for:
selecting a target traceability analysis mode corresponding to the research requirement;
the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
A first data screening module for:
taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
and/or screening the passenger and cargo carrying path data in the database by taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement;
a statistics module for:
based on the railway train operation data corresponding to the research requirements, counting and visually displaying target railway train traceability data;
and/or based on passenger-cargo carrying path data corresponding to the research requirements, counting and visually displaying target class traceability data;
the target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition taking a target area, a target railway train type and a target tracing analysis mode as constraints;
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
A railway train traceability analysis method comprises the following steps:
selecting a target region corresponding to the research requirement according to different region granularities; the research requirements include at least a target area and a target railroad train type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
Selecting a target railway train type corresponding to the research requirement according to different vehicle types; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, a express train, a direct train and other trains;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
Taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
based on the railway train operation data corresponding to the research requirements, counting and visually displaying target railway train traceability data;
the target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition which takes a target area, a target railway train type and a target tracing analysis mode as constraints.
A railway train traceability analysis method comprises the following steps:
selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
Selecting the target class type corresponding to the research requirement according to different classification granularities; the target class type comprises passenger class, freight class, passenger subclass and freight subclass;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
Taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening the passenger and cargo carrying path data in a database to determine the passenger and cargo carrying path data corresponding to the research requirement;
based on passenger-cargo carrying path data corresponding to the research requirements, statistics and visual display of target class traceability data are carried out;
the target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
A railway train traceability analysis method comprises the following steps:
selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and target traceability content; the target tracing content comprises a target railway train type and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
Selecting a target railway train type corresponding to the research requirement according to different vehicle types; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, a express train, a direct train and other trains;
selecting the target class type corresponding to the research requirement according to different classification granularities; the target class type comprises passenger class, freight class, passenger subclass and freight subclass;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
Taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening the passenger and cargo carrying path data in a database to determine the passenger and cargo carrying path data corresponding to the research requirement;
based on the railway train operation data corresponding to the research requirements, counting and visually displaying target railway train traceability data;
based on passenger-cargo carrying path data corresponding to the research requirements, statistics and visual display of target class traceability data are carried out;
the target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition taking a target area, a target railway train type and a target tracing analysis mode as constraints;
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention innovatively develops a railway traceability analysis system and method based on national railway train route data, railway topology network and the like aiming at the technical fields of railway passenger and goods transportation and operation, realizes multi-mode track traceability such as global traceability, local traceability, channel traceability and the like of railway trains and/or goods through traceability analysis of national railway network trains and/or goods transportation capacity, supports highly customized rapid traceability analysis under multi-granularity, multi-dimension and multi-mode conditions, and can provide high-efficiency and convenient technical support for analysis, research and judgment and engineering research of various business scenes such as railway system planning, construction, operation and the like for the railway traffic field.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings that are needed in the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a railway traceability analysis system according to the present invention;
FIG. 2 is a diagram of a target area selection operation interface of the present invention;
FIG. 3 is a diagram of a type selection operation interface for a target railroad train of the present invention;
FIG. 4 is a diagram of a target class type selection operation interface of the present invention;
FIG. 5 is a diagram of a trace-source analysis mode selection operation interface of the present invention;
FIG. 6 is a schematic flow chart of a railway tracing analysis method of the invention;
FIG. 7 is a flow chart diagram II of a railway tracing analysis method of the invention;
fig. 8 is a flow schematic three diagrams of a railway tracing analysis method of the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
In order to better illustrate the technical scheme disclosed by the invention, the OD investigation and tracing concepts are described in detail below.
OD investigation is also called OD traffic volume investigation, and OD traffic volume refers to the traffic volume between starting and ending points. "O" is derived from the English ORIGIN and refers to the departure place of the trip, and "D" is derived from the English DESTINATION and refers to the DESTINATION of the trip. This in turn can be divided into passenger OD surveys and cargo OD surveys. The investigation content of the former mainly comprises starting and stopping point distribution, trip purpose, trip mode, trip time, trip distance, trip times and the like. The contents of the cargo flow OD survey mainly include the freight carriers of each unit, the amount of transportation, the amount of cargo coming and going between each traffic area and the outside, and some basic data of each unit in the past year.
It is apparent that OD survey data focuses on start point, end point, traffic, but does not reflect the process conditions of transportation path distribution and flow distribution.
The source tracing technology in the traffic field is a technology for tracing and restoring traffic flow sources, directions, routes and flow distribution of vehicles, passenger transportation and freight transportation based on traffic vehicles and related equipment information, and features source flow running in a traffic system through a large number of trace source tracing.
Obviously, the source tracing technology further reflects and pays attention to the condition of the transportation path and the flow distribution between the starting point and the destination point on the basis of reflecting the starting point and the destination point of transportation.
Example 1
Aiming at the functional requirements of engineering research, analysis and research under various business scenes such as railway system planning, construction, operation and the like, the highly self-defined train tracing function supporting multiple granularity, modes and modes is developed in combination with the practical application requirements of business work.
Multi-granularity functional design: the method mainly comprises variable granularity design of a multi-level geographic space, full-vehicle type custom design of a railway train, custom design of passenger and cargo carriers, functional design of railway running diagrams at different times and the like.
And (3) multi-mode functional design: the multi-dimensional design under the planning, design and operation scene of the railway system mainly comprises a custom optional site type, a custom optional line type, a custom optional path type and the like.
Multi-mode functional design: the method mainly comprises a full-network traceability analysis mode, a local traceability analysis mode, a channel traceability analysis mode and the like.
In view of this, this embodiment provides a railway train tracing analysis system, please refer to fig. 1, which includes:
A target area selection module 101, configured to: selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and target traceability content; the target tracing content is at least one of a target railway train type and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area. The target area selection operation interface is shown in fig. 2.
Wherein, the granularity of the railway line network grade: the network topology line covers over 6000 railway line station section elements and has detailed attribute information of the line station section.
Railway station grade granularity: over 7000 railway station elements are covered, and the station detail attribute information is provided.
Railway cell grade granularity: according to the railway system management mechanism and specification, the granularity covers 583 railway system cell elements and has corresponding detailed attribute information.
Five-level administrative division granularity: the regional level, the city group level, the province level, the city level and the county-district level five-level administrative division information data are covered, and independent mapping relations are established with the railway network level, the railway station level and the railway cell level.
The target traceability content selection module 102 is configured to: selecting a target railway train type corresponding to the research requirement according to different vehicle types; and/or selecting the type of the target product corresponding to the research requirement according to different classification granularities; the target class type comprises passenger class, freight class, passenger subclass and freight subclass; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, an express train, a direct train and other trains. The target railway train type selection operation interface is shown in fig. 3, and the target class type selection operation interface is shown in fig. 4.
And according to train attribute information of the railway transportation system, the self-defined tracing analysis of the whole train type of the railway train is realized. The railway train tracing analysis technology is strictly designed and developed according to the specification of a railway transportation system, and the train type attribute of the railway train mainly comprises two major categories and a plurality of minor categories of high-speed railway trains and common-speed railway trains. And the trace tracing and the capacity distribution analysis of trains of different vehicle types are realized through the custom selection of different vehicle types.
The high-speed railway trains comprise a high-speed railway train (G train), a motor train (D train) and an inter-city train (C train).
The common speed railway train comprises a super-speed train (T train), a direct train (Z train), and other trains (K train, Y train and the like).
The passenger transportation class comprises a high-speed motor train unit train (G-shaped head), an inter-city motor train unit train (C-shaped head), a common motor train unit train (D-shaped head), a direct express passenger train (Z-shaped head), a express passenger train (T-shaped head), a fast passenger train (K-shaped head), a common passenger express train (ordinary) and a common passenger express train; the shipping class includes food, agriculture, energy, materials, ores, containers, and other totals; the food comprises grains, salt and the like; the agriculture comprises cotton, chemical fertilizers, pesticides and the like; the energy sources comprise coal, petroleum, coke and the like; the material comprises metal ore, nonmetallic ore, phosphate ore and the like; the other aggregate is freight class other than food, agriculture, energy, materials, ore, containers.
The trace source analysis mode selection module 103 is configured to: selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region composed of two target element regions, a target element region and a target element set or two target element sets. The trace source analysis mode selection operation interface is shown in fig. 5.
Local tracing analysis mode: the method mainly supports the traceability analysis of the railway train in the 'one-end constraint' analysis scene, and researches the reachable range of the area where the target element is located and the related index result.
And supporting the custom selection of any target element or an element set storing a plurality of target elements, and identifying and analyzing the data analysis statistics in the capacity distribution, track distribution and reach of all railway trains passing through the target element or the element set.
The source and the destination of the railway train of the path target element are visually displayed on a map in a visual mode, and the statistical analysis result of the related data (including data indexes such as railway train capacity distribution, socioeconomic population and the like) of the train reachable range area is displayed in a data chart mode.
Channel tracing mode: the method mainly supports the traceability analysis of the railway train in the 'two-end constraint' analysis scene, and researches the train capacity distribution condition and related index results of the railway channel between two target element areas.
The method supports the self-defining selection of any two target elements or two element sets storing a plurality of target elements, and identifies and analyzes data analysis statistics in the capacity distribution, track distribution and reach of all railway trains of the two target elements or element sets. And displaying the railway channel train capacity distribution and the reachable range between the two target element areas selected by the way in a map form, and displaying the statistical analysis results of related data (including data indexes such as railway train capacity distribution, socioeconomic population and the like) in the railway channel range between the two target element areas in a data chart form.
Full network tracing mode: the whole national railway network is taken as an analysis network, the whole railway train is traced to the source, and the train flow distribution of the national railway network is displayed in a map visual form.
A first data filtering module 104, configured to:
and screening the railway train operation data in the database by taking the target area, the target railway train type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the railway train operation data corresponding to the research requirement.
And/or screening the passenger and cargo carrying path data in the database by taking the target area, the target class type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
A statistics module 105 for:
and counting and visually displaying the tracing data of the target railway train based on the railway train operation data corresponding to the research requirements.
And/or based on passenger and cargo carrying path data corresponding to the research requirements, counting and visually displaying target class traceability data.
The target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition taking a target area, a target railway train type and a target tracing analysis mode as constraints;
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
Further, a statistics module 105 is used for
Based on the railway train operation data corresponding to the research requirements, visually displaying the source path, the destination path and the flow of each section on the path of the target railway train passing through the target area on a map, and displaying the capacity distribution data of the reachable range area of the target railway train in a data chart form.
And/or based on passenger and cargo carrying path data corresponding to the research requirements, visually displaying the source path, the destination path and the flow of each section on the path of the target product in the target area on a map in a visual mode, and displaying the traffic distribution data of the reachable range area of the target product in a data chart mode.
As a preferred implementation manner, the technical solution provided in this embodiment further includes: and a second data screening module.
The second data screening module is used for:
determining railway train operation data between the target area and a first calibration area based on the railway train operation data corresponding to the research requirements; the first calibration area is an area of the target railway train route, and the first calibration area and the target area are not the same area.
And/or determining passenger-cargo carrying path data between the target area and a second calibration area based on passenger-cargo carrying path data corresponding to the research requirement; the second calibration area is an area of the target class path, and the second calibration area and the target area are not the same area.
As a preferred implementation manner, the technical solution provided in this embodiment further includes: a calibration area selection module and a second data screening module.
The calibration area selection module is used for:
and selecting a calibration area corresponding to the research requirement according to different area granularities. The calibration area comprises a first calibration area and/or a second calibration area; the first calibration area is an area of the target railway train route, and the first calibration area and the target area are not the same area; the second calibration area is an area of the target class path, and the second calibration area and the target area are not the same area.
The second data screening module is used for:
and screening the railway train operation data in the database by taking a target area, a target railway train type, a target traceability analysis mode and the first calibration area corresponding to the research requirement as constraint conditions, and determining the railway train operation data between the target area and the first calibration area.
And/or screening the passenger and cargo carrying path data in the database by taking the target area, the target class type, the target traceability analysis mode and the second calibration area corresponding to the research requirement as constraint conditions, and determining the passenger and cargo carrying path data between the target area and the second calibration area.
On this basis, the statistics module 105 is configured to:
and displaying the source path, the destination path and the path flow of the target railway train between the target area and the first calibration area on a map in a visual mode based on the railway train running data corresponding to the research requirements, and displaying the capacity distribution data of the target railway train between the target area and the first calibration area in a data chart mode.
And/or displaying the source route, the destination route and the flow of each section on the route of the target product between the target area and the second calibration area on a map in a visual form based on passenger-cargo carrying route data corresponding to the research requirement, and displaying the traffic distribution data of the target product between the target area and the second calibration area in a data chart form.
And according to the time version attribute of the railway train running chart and the railway train schedule data, the self-defined train tracing is realized for the railway transportation in different time ranges so as to support the research and analysis of the railway system planning design and construction operation in different time periods.
Further, the study requirement further includes a target time; the railway train traceability analysis system further comprises: and a target time selection module.
The target time selection module is used for: and selecting target time corresponding to the research requirement according to the time version attribute of the railway train running chart and the railway train schedule data.
A first data filtering module 104, configured to:
and screening the railway train operation data in the database by taking the target area, the target railway train type, the target traceability analysis mode and the target time corresponding to the research requirement as constraint conditions so as to determine the railway train operation data corresponding to the research requirement.
And/or screening the passenger and cargo carrying path data in the database by taking the target area, the target class type, the target traceability analysis mode and the target time corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
As a preferred specific implementation manner, the platform provided in this embodiment further includes a database; the database stores railway network structure data, train routing data, and railway station data.
The railway network structure data mainly comprises, but is not limited to, railway network data, railway topological relation data, railway transportation contact spider network data and the like.
The train routing data includes primarily, but is not limited to, railway operating diagram data and railway train schedule data.
The railroad site data includes primarily, but is not limited to, railroad site data, railroad abstract site data. The railway abstract site data is strongly associated with cities or geographic elements, and an independent mapping relation is established with the railway site data to serve as a logical abstract site.
As a preferred specific implementation manner, the platform provided in this embodiment has a multi-mode scenario tracing analysis principle, specifically:
The railway train tracing analysis technology realizes self-defined tracing analysis under a multi-mode scene. Mainly comprises a custom optional site type, a custom optional route type, a custom optional path type and the like.
First, custom selectable site types
Providing a self-defined analysis function according to the type attribute of the railway station, which mainly comprises the following steps:
station grade: the railway stations are classified according to the grades of railway stations, and mainly comprise an superfine station, a first-class station, a second-class station and the like.
Jurisdictional organization: classified according to the jurisdictional organization of the railway system.
Technical properties: classified according to the technical nature of the railway station.
Service properties: the rail stations are classified according to the service properties of the rail stations, and mainly comprise passenger stations, freight stations, high-speed rail stations and the like.
Second, custom selectable line types
Providing a self-defined analysis function according to the attribute of the railway line type, which mainly comprises the following steps:
line type: the railway line type classification mainly comprises a high-speed railway passenger train, a freight railway, a passenger-freight mixed railway and the like.
Single-double line attribute: according to the attribute classification of railway lines, the railway lines are classified into single-line railways and double-line railways.
Jurisdictional organization: classified according to railway line jurisdictions.
Logarithm of vehicle: the number of running vehicles is classified according to railway lines.
Electrification properties: the method is classified according to the electrified attribute of the railway line, and mainly comprises electrified railways and non-electrified railways.
On time.
Operation speed: classification is based on the highest allowable operating speed of the railway line.
Third, custom alternative pathway types
The tracing analysis technology of the railway train supports the self-defined tracing of selectable route types for tracing target elements such as any selected stations, lines, areas, combined sets and the like according to a train operation mechanism of a railway system. The main functions include:
originating tracing: and tracing all railway starting trains by arbitrarily selected tracing analysis target elements. The geographical space range reachable by all railway starting trains and the data statistics analysis results in the range are analyzed and displayed, including but not limited to socioeconomic analysis, population analysis, number of trains/logarithm, number of shifts/logarithm, ratio of tracing trains to global trains and the like.
Finally tracing to source: and tracing all the railway final trains by arbitrarily selected tracing analysis target elements. The geographical space range reachable by all the railway final trains and the data statistics analysis results in the range are analyzed and displayed, including but not limited to socioeconomic analysis, population analysis, number of trains/logarithm, number of shifts/logarithm, ratio of tracing trains to global trains and the like.
Tracing the route: and tracing all the railway starting, ending and stopping trains by arbitrarily selected tracing analysis target elements. The geographical space range reachable by all the railway starting, ending and stopping trains and the data statistics analysis result in the range are analyzed and displayed, including but not limited to socioeconomic analysis, population analysis, number of trains/logarithm, number of shifts/logarithm, proportion of tracing trains to global trains and the like.
Therefore, the railway train traceability analysis system provided by the embodiment further comprises: the system also comprises a target site type selection module, a target line type selection module and a target path type selection module.
The target site type selection module is used for selecting the target site type corresponding to the research requirement according to the railway site type attribute.
The target line type selection module is used for selecting the target line type corresponding to the research requirement according to the railway line type attribute.
The target path type selection module is used for selecting a target path type corresponding to the research requirement according to the railway train path type attribute.
A first data filtering module 104, configured to:
and screening railway train operation data in a database by taking a target area, target traceability content, target time, target site type, target route type, target path type and target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the railway train operation data corresponding to the research requirement.
And/or screening the passenger and cargo carrying path data in the database by taking the target area, the target traceability content, the target time, the target site type, the target line type, the target path type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
Example two
Referring to fig. 6, the method for tracing and analyzing a railway train provided in this embodiment includes:
step 801: selecting a target region corresponding to the research requirement according to different region granularities; the research requirements include at least a target area and a target railroad train type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area.
Step 802: selecting a target railway train type corresponding to the research requirement according to different vehicle types; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, an express train, a direct train and other trains.
Step 803: selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region composed of two target element regions, a target element region and a target element set or two target element sets.
Step 804: and screening the railway train operation data in the database by taking the target area, the target railway train type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the railway train operation data corresponding to the research requirement.
Step 805: and counting and visually displaying the tracing data of the target railway train based on the railway train operation data corresponding to the research requirements.
The target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition which takes a target area, a target railway train type and a target tracing analysis mode as constraints.
Example III
Referring to fig. 7, a method for tracing and analyzing a railway train is characterized by comprising:
step 901: selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area.
Step 902: selecting the target class type corresponding to the research requirement according to different classification granularities; the target class types include passenger class, freight class, passenger subclass and freight subclass.
Step 903: selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region composed of two target element regions, a target element region and a target element set or two target element sets.
Step 904: and screening the passenger and cargo carrying path data in the database by taking the target area, the target class type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
Step 905: and counting and visually displaying the target class traceability data based on the passenger and cargo carrying path data corresponding to the research requirements.
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
Example IV
Referring to fig. 8, the method for tracing analysis of a railway train provided in this embodiment includes:
step 1001: selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and target traceability content; the target tracing content comprises a target railway train type and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area.
Step 1002: selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region composed of two target element regions, a target element region and a target element set or two target element sets.
Step 1003: selecting a target railway train type corresponding to the research requirement according to different vehicle types; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, an express train, a direct train and other trains.
Step 1004: selecting the target class type corresponding to the research requirement according to different classification granularities; the target class types include passenger class, freight class, passenger subclass and freight subclass.
Step 1005: and screening the railway train operation data in the database by taking the target area, the target railway train type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the railway train operation data corresponding to the research requirement.
Step 1006: and screening the passenger and cargo carrying path data in the database by taking the target area, the target class type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
Step 1007: and counting and visually displaying the tracing data of the target railway train based on the railway train operation data corresponding to the research requirements.
Step 1008: and counting and visually displaying the target class traceability data based on the passenger and cargo carrying path data corresponding to the research requirements.
The target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition taking a target area, a target railway train type and a target tracing analysis mode as constraints;
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other. For the method disclosed in the embodiment, since it corresponds to the system disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the system part.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (10)
1. A railroad train traceability analysis system, comprising:
a target area selection module, configured to:
selecting a target region corresponding to the research requirement according to different region granularities;
the research requirements at least comprise a target area and target traceability content; the target tracing content is at least one of a target railway train type and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
the target traceability content selection module is used for:
selecting a target railway train type corresponding to the research requirement according to different vehicle types;
and/or selecting the type of the target product corresponding to the research requirement according to different classification granularities;
The target class type comprises passenger class, freight class, passenger subclass and freight subclass; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, a express train, a direct train and other trains;
the tracing analysis mode selection module is used for:
selecting a target traceability analysis mode corresponding to the research requirement;
the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
A first data screening module for:
taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
and/or screening the passenger and cargo carrying path data in the database by taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement;
a statistics module for:
based on the railway train operation data corresponding to the research requirements, counting and visually displaying target railway train traceability data;
and/or based on passenger-cargo carrying path data corresponding to the research requirements, counting and visually displaying target class traceability data;
the target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition taking a target area, a target railway train type and a target tracing analysis mode as constraints;
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
2. The railroad train tracing analysis system according to claim 1, wherein,
the statistics module is used for:
based on the railway train operation data corresponding to the research requirements, visually displaying the source path, the destination path and the flow of each section on the path of the target railway train passing through the target area on a map, and displaying the capacity distribution data of the reachable range area of the target railway train in a data chart form;
and/or based on passenger and cargo carrying path data corresponding to the research requirements, visually displaying the source path, the destination path and the flow of each section on the path of the target product in the target area on a map in a visual mode, and displaying the traffic distribution data of the reachable range area of the target product in a data chart mode.
3. The railroad train tracing analysis system of claim 1, further comprising: a second data screening module;
the second data screening module is used for:
determining railway train operation data between the target area and a first calibration area based on the railway train operation data corresponding to the research requirements; the first calibration area is an area of the target railway train route, and the first calibration area and the target area are not the same area;
and/or determining passenger-cargo carrying path data between the target area and a second calibration area based on passenger-cargo carrying path data corresponding to the research requirement; the second calibration area is an area of the target class path, and the second calibration area and the target area are not the same area.
4. The railroad train tracing analysis system of claim 1, further comprising: a calibration area selection module and a second data screening module;
the calibration area selection module is used for:
selecting a calibration area corresponding to the research requirement according to different area granularities;
the calibration area comprises a first calibration area and/or a second calibration area; the first calibration area is an area of the target railway train route, and the first calibration area and the target area are not the same area; the second calibration area is an area of the target class path, and the second calibration area and the target area are not the same area;
The second data screening module is used for:
screening railway train operation data in a database by taking a target area, a target railway train type, a target traceability analysis mode and the first calibration area corresponding to the research requirement as constraint conditions, and determining the railway train operation data between the target area and the first calibration area;
and/or screening the passenger and cargo carrying path data in the database by taking the target area, the target class type, the target traceability analysis mode and the second calibration area corresponding to the research requirement as constraint conditions, and determining the passenger and cargo carrying path data between the target area and the second calibration area.
5. A railroad train tracing analysis system according to claim 3 or 4, wherein said statistics module is configured to:
displaying the source path, the destination path and the path flow of the target railway train between the target area and the first calibration area on a map in a visual form based on railway train operation data corresponding to the research requirements, and displaying the capacity distribution data of the target railway train between the target area and the first calibration area in a data chart form;
And/or displaying the source route, the destination route and the flow of each section on the route of the target product between the target area and the second calibration area on a map in a visual form based on passenger-cargo carrying route data corresponding to the research requirement, and displaying the traffic distribution data of the target product between the target area and the second calibration area in a data chart form.
6. The railroad train tracing analysis system of claim 1, further comprising: a target time selection module;
the target time selection module is used for: selecting target time corresponding to the research requirement according to the time version attribute of the railway train running chart and the railway train schedule data;
a first data screening module for:
taking a target area, a target railway train type, a target traceability analysis mode and target time corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
and/or screening the passenger and cargo carrying path data in the database by taking the target area, the target class type, the target traceability analysis mode and the target time corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
7. The system of claim 5, further comprising a destination site type selection module, a destination route type selection module, and a destination route type selection module;
the target site type selection module is used for selecting a target site type corresponding to the research requirement according to the railway site type attribute;
the target line type selection module is used for selecting a target line type corresponding to the research requirement according to the railway line type attribute;
the target route type selection module is used for selecting a target route type corresponding to the research requirement according to the railway train route type attribute; the path types comprise originating tracing, terminating tracing and path tracing;
a first data screening module for:
taking a target area, target traceability content, target time, target site type, target route type, target path type and target traceability analysis mode corresponding to the research requirements as constraint conditions, and screening railway train operation data in a database to determine railway train operation data corresponding to the research requirements;
and/or screening the passenger and cargo carrying path data in the database by taking the target area, the target traceability content, the target time, the target site type, the target line type, the target path type and the target traceability analysis mode corresponding to the research requirement as constraint conditions so as to determine the passenger and cargo carrying path data corresponding to the research requirement.
8. The method for analyzing the tracing of the railway train is characterized by comprising the following steps of:
selecting a target region corresponding to the research requirement according to different region granularities; the research requirements include at least a target area and a target railroad train type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
selecting a target railway train type corresponding to the research requirement according to different vehicle types; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, a express train, a direct train and other trains;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
Taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
based on the railway train operation data corresponding to the research requirements, counting and visually displaying target railway train traceability data;
the target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition which takes a target area, a target railway train type and a target tracing analysis mode as constraints.
9. The method for analyzing the tracing of the railway train is characterized by comprising the following steps of:
selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
Selecting the target class type corresponding to the research requirement according to different classification granularities; the target class type comprises passenger class, freight class, passenger subclass and freight subclass;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
Taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening the passenger and cargo carrying path data in a database to determine the passenger and cargo carrying path data corresponding to the research requirement;
based on passenger-cargo carrying path data corresponding to the research requirements, statistics and visual display of target class traceability data are carried out;
the target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
10. The method for analyzing the tracing of the railway train is characterized by comprising the following steps of:
selecting a target region corresponding to the research requirement according to different region granularities; the research requirements at least comprise a target area and target traceability content; the target tracing content comprises a target railway train type and a target class type; the regional granularity comprises railway line network granularity, railway station section granularity, railway station granularity, railway traffic district granularity and five-level administrative division granularity; the target area is one of a target element area, two target element areas, a target element set and two target element sets; the target element set comprises a plurality of target element areas; the target element area is one of an area where a railway line station section is located, an area where a railway station is located, a railway traffic cell, a land area, a city group area, a province area, a city area and a county area;
Selecting a target railway train type corresponding to the research requirement according to different vehicle types; the target railway train type is one or more of a high-speed rail train, a bullet train, an inter-city train, a express train, a direct train and other trains;
selecting the target class type corresponding to the research requirement according to different classification granularities; the target class type comprises passenger class, freight class, passenger subclass and freight subclass;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a whole network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network tracing analysis mode is a mode of carrying out whole network tracing analysis on railway trains in the global area by taking a global area network as an analysis network, the local tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the local area by taking a local area network as an analysis network, and the channel tracing analysis mode is a mode of carrying out local tracing analysis on the railway trains in the channel area by taking a channel area network as an analysis network; the local area is an area formed by a target element area or a target element set; the channel region is a region formed by two target element regions, a target element region and a target element set or a region formed by two target element sets;
Taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening railway train operation data in a database to determine the railway train operation data corresponding to the research requirement;
taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions, and screening the passenger and cargo carrying path data in a database to determine the passenger and cargo carrying path data corresponding to the research requirement;
based on the railway train operation data corresponding to the research requirements, counting and visually displaying target railway train traceability data;
based on passenger-cargo carrying path data corresponding to the research requirements, statistics and visual display of target class traceability data are carried out;
the target railway train tracing data comprise the capacity distribution data of the target railway train under the condition of tracing the target railway train based on a first set mapping relation; the first set mapping relation is the mapping relation between the running track of the railway train and a railway line, a railway station or a geographic space; the target railway train tracing condition is a condition taking a target area, a target railway train type and a target tracing analysis mode as constraints;
The target product class tracing data comprise the traffic distribution data of the target product class based on the second set mapping relation and the target product class tracing condition; the second set mapping relation is the mapping relation between the passenger and cargo carrying path data and railway lines, railway stations or geographic spaces; the target class tracing condition is a condition which takes a target area, a target class type and a target tracing analysis mode as constraints.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110917751.XA CN113627955B (en) | 2021-08-11 | 2021-08-11 | Railway traceability analysis system and method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110917751.XA CN113627955B (en) | 2021-08-11 | 2021-08-11 | Railway traceability analysis system and method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN113627955A CN113627955A (en) | 2021-11-09 |
CN113627955B true CN113627955B (en) | 2023-06-20 |
Family
ID=78384305
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110917751.XA Active CN113627955B (en) | 2021-08-11 | 2021-08-11 | Railway traceability analysis system and method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113627955B (en) |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2006081849A1 (en) * | 2005-01-31 | 2006-08-10 | Siemens Schweiz Ag | Control system for controlling and/or monitoring an object |
CN109345823A (en) * | 2018-09-19 | 2019-02-15 | 连云港杰瑞电子有限公司 | A kind of Data Analysis System for Intelligent Transportation based on big data |
CN110675631A (en) * | 2019-10-15 | 2020-01-10 | 中国城市规划设计研究院 | Traffic flow traceability analysis method and system |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
ATE498165T1 (en) * | 2001-06-22 | 2011-02-15 | Caliper Corp | TRAFFIC DATA MANAGEMENT AND SIMULATION SYSTEM |
-
2021
- 2021-08-11 CN CN202110917751.XA patent/CN113627955B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2006081849A1 (en) * | 2005-01-31 | 2006-08-10 | Siemens Schweiz Ag | Control system for controlling and/or monitoring an object |
CN109345823A (en) * | 2018-09-19 | 2019-02-15 | 连云港杰瑞电子有限公司 | A kind of Data Analysis System for Intelligent Transportation based on big data |
CN110675631A (en) * | 2019-10-15 | 2020-01-10 | 中国城市规划设计研究院 | Traffic flow traceability analysis method and system |
Non-Patent Citations (4)
Title |
---|
江苏沿江城际铁路路网作用和功能定位研究;解振全;《铁道标准设计》;第11-14页 * |
疫情对我国铁路行业发展的影响与对策;林晓言;李明真;陈小君;;铁道经济研究(第02期);第1-6页 * |
铁路物流全程化网络布局优化方法研究;施路等;铁道运输与经济(第01期);第39-45页 * |
高速铁路列车运行图编制云计算系统研究;祝建平等;《铁道运输与经济》;第42卷(第13期);第1-20页 * |
Also Published As
Publication number | Publication date |
---|---|
CN113627955A (en) | 2021-11-09 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bofinger | Africa's transport infrastructure: Mainstreaming maintenance and management | |
CN110599765A (en) | Road passenger and cargo transportation volume index statistical method based on multi-source data fusion | |
Ferreira | Planning Australian freight rail operations: an overview | |
Gorman | Evaluating the public investment mix in US freight transportation infrastructure | |
Carboni et al. | Dry ports and related environmental benefits: a case study in Italy | |
Ogochukwu et al. | Assessment of the performance of railway transportation in Nigeria from 1970 to 2010 | |
Basnak et al. | Technology choices in public transport planning: A classification framework | |
Kreutzberger et al. | Intermodal versus unimodal road freight transport: a review of comparisons of the external costs | |
CN113627955B (en) | Railway traceability analysis system and method | |
Janić | Multicriteria evaluation of intermodal (rail/road) freight transport corridors | |
Jacyna et al. | The EMITRANSYS model and the possibilities of its application for the analysis of the development of sustainable transport systems | |
Hartmann et al. | Development of Sustainable Transport Corridors the Scandria-Case | |
Wiśniewski | of Poland’s Space to the Trans-European Transport Network | |
Al-Shikh et al. | Logistics in Yemen: optimal intermodal freight transportation | |
Nuritdinovna et al. | Transport Logistics Main Advantages and Disadvantages of Different Types of Transport | |
Shelton et al. | Strategies for Managing Freight Traffic Through Urban Areas: Technical Report | |
Derpich et al. | Chasing Optimization on Multimodal Transportation System: A Strategic Approach to Minimizing Costs and CO2 Emissions | |
Saeed et al. | GIS-based modeling for optimal freight routes: A case study from Al-Najaf city (Iraq) | |
McFallan et al. | Rail corridor and freight analysis for the Limestone Coast and South West Victoria | |
Bacher et al. | The potential of combining passenger rail with freight: A New York City case study | |
Marzano et al. | A large scale analysis of the competitiveness of new Short-Sea Shipping services in the Mediterranean | |
Dalkıç | Evaluation of factors affecting mode choice of highspeed railway (HSR) users in Turkey | |
Mudge | Energy use in freight transportation | |
Baghestani et al. | Logistics Village Location with Capacity Planning Problem, an MILP Model Approach. Sustainability 2023, 15, 4633 | |
Rahman et al. | Airport-MPO Collaboration: Challenges and Opportunities for Cooperative Megaregional Transportation Planning |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |