CN113627955A - Railway traceability analysis system and method - Google Patents
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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 product type; then, screening data in the database by taking a target area, target traceability content and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine railway train operation data and/or passenger and cargo carrying path data corresponding to the research requirement; and finally, counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research demand, and/or counting and visually displaying the source tracing data of the target goods based on the passenger-cargo carrying path data corresponding to the research demand. The invention has the technical effect of carrying out highly customized fast traceability analysis on the nationwide railway train and/or goods 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 a railway traceability analysis method.
Background
The tracing technology in the traffic field is a technology for tracing and restoring traffic flow sources, destination paths, passing paths and flow distribution of vehicles based on traffic vehicles and related equipment information, and source flow characteristics of the operation of a traffic system are described through tracing a large number of tracks.
In recent years, due to the rapid development of high-speed rail construction and bulk freight, railway transportation has gradually become the first transportation mode for daily travel and cargo operation of residents, but the traceability analysis technology of railway trains is very few.
Disclosure of Invention
In view of this, the invention provides a railway tracing analysis system and method.
In order to achieve the purpose, the invention provides the following scheme:
a railroad train traceability analysis system, comprising:
a target area selection module to:
selecting a target area corresponding to research requirements according to different area 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 grade type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, a land area, a city group area, a province area, a city area and a county area;
a target traceability content selection module to:
selecting a target railway train type corresponding to the research requirement according to different train types;
and/or selecting the target category type corresponding to the research requirement according to different classification granularities;
the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses; the type of the target railway train is one or more of a high-speed rail train, a motor train, an intercity train, an express train, a direct train and other trains;
a traceability analysis mode selection module configured to:
selecting a target traceability analysis mode corresponding to the research requirement;
the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
a first data screening module to:
screening the railway train operation data in the database by taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions 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 to determine the passenger and cargo carrying path data corresponding to the research requirement;
a statistics module to:
counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement;
and/or counting and visually displaying the tracing data of the target categories based on the passenger-cargo carrying path data corresponding to the research demand;
the target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
A method for analyzing the source of a railway train comprises the following steps:
selecting a target area corresponding to research requirements according to different area granularities; the research demand includes at least a target area and a target railroad train type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, 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 train types; the type of the target railway train is one or more of a high-speed rail train, a motor train, an intercity train, an 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 full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
screening the railway train operation data in the database by taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the railway train operation data corresponding to the research requirement;
counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement;
the target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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 method for analyzing the source of a railway train comprises the following steps:
selecting a target area corresponding to research requirements according to different area granularities; the research requirements at least comprise a target area and a target category type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, a land area, a city group area, a province area, a city area and a county area;
selecting a target class type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
screening passenger and cargo carrying path data in a database by taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the passenger and cargo carrying path data corresponding to the research requirement;
counting and visually displaying the target category traceability data based on the passenger-cargo carrying path data corresponding to the research demand;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
A method for analyzing the source of a railway train comprises the following steps:
selecting a target area corresponding to research requirements according to different area 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 product type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, 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 train types; the type of the target railway train is one or more of a high-speed rail train, a motor train, an intercity train, an express train, a direct train and other trains;
selecting a target class type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
screening the railway train operation data in the database by taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the railway train operation data corresponding to the research requirement;
screening passenger and cargo carrying path data in a database by taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the passenger and cargo carrying path data corresponding to the research requirement;
counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement;
counting and visually displaying the target category traceability data based on the passenger-cargo carrying path data corresponding to the research demand;
the target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
the invention is directed at the technical field of railway passenger and goods transportation and operation, and is based on national railway train routing data, railway topological network and the like, a railway traceability analysis system and a method are innovatively developed, multi-mode track traceability such as global traceability, local traceability, channel traceability and the like of railway trains and/or categories is realized through traceability analysis of national railway network train and/or category transportation capacity, highly customized rapid traceability analysis under the conditions of multiple granularities, multiple dimensions and multiple modes is supported, and for the field of railway transportation, the invention can provide efficient and convenient technical support for analysis, research and judgment and engineering research of various service scenes such as railway system planning, construction, operation and the like.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without inventive exercise.
FIG. 1 is a schematic structural 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 target railroad train type selection operation interface of the present invention;
FIG. 4 is a diagram of a target category type selection operation interface according to the present invention;
FIG. 5 is a diagram of a traceability analysis mode selection operation interface according to the present invention;
FIG. 6 is a graph showing the result of the global scope target railroad train or target passenger and cargo traceability data of the present invention;
FIG. 7 is a diagram showing the result of the source-tracing data of the target railroad train or the target passenger and cargo class in the specified area (taking the sea city as an example) according to the present invention; the map is a local map of a Chinese map;
FIG. 8 is a schematic flow chart of a railway traceability analysis method of the present invention;
FIG. 9 is a schematic flow chart of a railway traceability analysis method of the present invention;
fig. 10 is a flow chart of a railway traceability analysis method according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in further detail below.
In order to better explain the technical solution disclosed in the present invention, the following detailed description is made on the OD survey and tracing concept.
The OD survey is a survey of the start and stop points of traffic, which is also called OD traffic survey, and the OD traffic refers to the amount of traffic between the start and stop points. "O" is derived from ORIGIN, english, and refers to the starting point of a trip, and "D" is derived from DESTINATION, english, and refers to the DESTINATION of a trip. This can be divided into passenger flow OD surveys and cargo flow OD surveys. The former survey content mainly includes the distribution of the starting points and the stopping points, the purpose of travel, the mode of travel, the time of travel, the distance of travel, the number of times of travel and the like. The contents of the cargo flow OD survey mainly include shippers of each unit, shipment volumes, the freight traffic volumes between traffic areas on survey days and between traffic areas and other places, and some basic data of each unit calendar year.
It is obvious that OD survey data focuses on the starting point, the end point, and the traffic volume, but does not reflect the process conditions such as the distribution of the transportation path and the distribution of the flow rate.
The tracing technology in the traffic field is a technology for tracing and restoring traffic flow sources, forward paths, pass paths and flow distribution of vehicles, passenger transport and freight transport based on information of traffic vehicles and related equipment, and source flow characteristics of the operation of a traffic system are described through a large amount of trace tracing.
Obviously, the tracing technology further reflects and pays attention to the transportation path condition and the flow distribution condition between the starting point and the ending point on the basis of reflecting the starting point and the ending point of transportation.
Example one
Aiming at the functional requirements of engineering research, analysis and study under various service scenes such as railway system planning, construction and operation, the highly customized train tracing function supporting multiple granularities, multiple modes and multiple modes is developed by combining the actual application requirements of service work.
Multi-granularity functional design: the method mainly comprises the variable granularity design of a multistage geographic space, the self-defined design of the whole train type of the railway train, the self-defined design of the passenger and freight cargo, the functional design of the railway operation diagram at different times and the like.
Multi-mode functional design: the multi-dimensional design under the railway system planning, designing and operating scenes mainly comprises a user-defined optional station type, a user-defined optional line type, a user-defined optional path type and the like.
And (3) 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, the present embodiment provides a railway train traceability analysis system, please refer to fig. 1, which includes:
a target area selection module 101 configured to: selecting a target area corresponding to research requirements according to different area 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 grade type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, a land area, a city group area, a province area, a city area and a county area. The target area selection operational interface is shown in FIG. 2.
Wherein, the network level granularity of the railway line is as follows: the network topological line covers more than 6000 sections of railway line station section elements and has detailed attribute information of the line station sections.
Railway site level granularity: the system covers 7000 railway station elements and is provided with station detailed attribute information.
Granularity of railway cell level: 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 information data of the administrative divisions at the region level, the city group level, the province level, the prefecture level and the county and district level are covered, and independent mapping relations are established with the railway line network level, the railway station level and the railway district level.
A target content selection module 102, configured to: selecting a target railway train type corresponding to the research requirement according to different train types; and/or selecting the target category type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses; the target railroad train type is one or more of a high-speed train, a bullet train, an intercity train, an express train, a express train, and other trains. The target railroad train type selection operation interface is shown in fig. 3, and the target grade type selection operation interface is shown in fig. 4.
And realizing the self-defined traceability analysis of the whole train type of the railway train according to the train attribute information of the railway transportation system. The railway train source tracing analysis technology is designed and developed strictly according to the specifications of a railway transportation system, and the train type attributes of the railway train mainly comprise two major types and a plurality of minor types of high-speed railway trains and ordinary-speed railway trains. And the tracing of the running tracks and the distribution analysis of the transport capacity of trains of different vehicle types are realized through the self-defined selection of different vehicle types.
The high-speed railway train comprises a high-speed rail train (G train), a bullet train (D train) and an intercity train (C train).
The ordinary-speed railway train comprises an express train (T train), a express train (Z train) and other trains (K train, Y train and the like).
The passenger transport class comprises a high-speed motor train unit train (G-shaped head), an intercity motor train unit train (C-shaped head), a common motor train unit train (D-shaped head), a express passenger train (Z-shaped head), an express passenger train (T-shaped head), a express passenger train (K-shaped head), a common passenger express train (common express) and a common passenger express train; the freight category includes food, agriculture, energy, materials, ores, containers, and other totals; the food comprises grains, salt and the like; the agriculture comprises cotton, chemical fertilizer, pesticide and the like; the energy sources include coal, petroleum, coke and the like; the material comprises metal ore, non-metal ore, phosphate ore and the like; the other totality is a freight category other than food, agriculture, energy, materials, ore, containers.
A traceability analysis mode selection module 103 configured to: selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets. The trace analysis mode selection operational interface is shown in fig. 5.
Local tracing analysis mode: the method mainly supports the railway train traceability analysis under 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.
The method supports user-defined selection of any target element or one element set storing a plurality of target elements, and identifies and analyzes the data analysis statistics of the capacity distribution, the track distribution and the reachable range of all railway trains approaching the target element or the element set.
And in a visual form, visually displaying the source and destination of the railway train of the path target elements on a map, and displaying the statistical analysis result of the relevant data (including data indexes such as railway train capacity distribution, social and economic population and the like) of the train reachable area in a data chart form.
Channel tracing mode: the method mainly supports the railway train traceability analysis under the analysis scene of 'constraint at two ends', and researches the train transport capacity distribution condition and related index results of a railway passage between two target element areas.
The method supports user-defined selection of any two target elements or two element sets storing a plurality of target elements, and identifies and analyzes the data analysis statistics in the capacity distribution, the track distribution and the reachable range of all the railway trains with the two selected target elements or element sets. And displaying the train capacity distribution and the reachable range of the railway channel between the two selected target element areas in a visual form in a map form, and displaying the statistical analysis result of the related data (data indexes such as the train capacity distribution of the railway, social and economic population and the like) in the railway channel range between the two target element areas in a data chart form.
The source tracing mode of the whole network: and taking the whole national railway network as an analysis network, carrying out whole-network source tracing on the railway trains, and displaying the train traffic distribution of the national railway network in a map visual form.
A first data screening 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 a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the passenger and cargo carrying path data corresponding to the research requirement.
A statistics module 105 configured to:
and counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement.
And/or counting and visually displaying the tracing data of the target categories based on the passenger and cargo carrying path data corresponding to the research demand.
The target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
Further, a statistics module 105 for
And visually displaying the source path, the destination path and the traffic of each section on the path of the target railway train in the target area on a map in a visual form based on the railway train operation data corresponding to the research demand, and displaying the transportation capacity distribution data of the reachable area of the target railway train in a data chart form.
And/or visually displaying the source path, the destination path and each section of traffic on the path of the target item in the target area in a visual form based on the passenger and cargo carrying path data corresponding to the research demand, and displaying the traffic distribution data of the reachable area of the target item in a data chart form.
The global scope target railway train or target passenger and cargo source tracing data result is shown in fig. 6.
As a preferred implementation, the technical solution provided in this embodiment further includes: and the second data screening module.
The second data screening module is configured to:
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 requirement; the first calibration area is an area of the target railway train path, and the first calibration area and the target area are not the same area.
And/or determining the passenger and cargo carrying path data between the target area and the second calibration area based on the passenger and cargo carrying path data corresponding to the research requirement; the second calibration area is an area of the target product pathway, and the second calibration area and the target area are not the same area.
As a preferred implementation, the technical solution provided in this embodiment further includes: the device comprises a calibration area selection module and a second data screening module.
The calibration area selection module is configured to:
and selecting a calibration area corresponding to the research requirement according to the granularity of different areas. 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 path, and the first calibration area and the target area are not the same area; the second calibration area is an area of the target product pathway, and the second calibration area and the target area are not the same area.
The second data screening module is 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 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 passenger and cargo carrying path data in a database by taking a target area, a target category type, a 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 statistical module 105 is configured to:
and displaying a source path, a destination path and each section of flow on the path of the target railway train between the target area and the first calibration area on a map in a visual form based on the railway train operation data corresponding to the research demand, 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 a source path, a destination path and each section of traffic on the path of the target category between the target area and the second calibration area on a map in a visual form based on the passenger-cargo carrying path data corresponding to the research demand, and displaying the transportation volume distribution data of the target category between the target area and the second calibration area in a data chart form.
Fig. 7 shows the result of the source-tracing data of the target railroad train or the target passenger/cargo class in the predetermined area (sea city, above).
According to the time version attributes of the railway train operation diagram and the railway train schedule data, custom train tracing is realized for railway transportation in different time ranges, so that the research and analysis of railway system planning design and construction operation in different time periods are supported.
Further, the research requirements also include a target time; the railway train traceability analysis system further comprises: and a target time selection module.
The target time selection module is configured to: and selecting target time corresponding to the research requirement according to the time version attributes of the railway train operation diagram and the railway train schedule data.
A first data screening 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 a target area, a target class type, a target traceability analysis mode and target time corresponding to the research requirement as constraint conditions 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 connection spider web data and the like.
Train routing data mainly includes, but is not limited to, railway operation diagram data, railway train schedule data.
The railway station data mainly comprises but is not limited to railway station data and railway abstract station data. The railway abstract site data is strongly associated with the city or geographic elements, and an independent mapping relation is established with the railway site data to serve as a logic abstract site.
As a preferred specific implementation manner, the platform provided in this embodiment has a multi-mode scenario tracing analysis principle, which specifically includes:
the railway train traceability analysis technology realizes self-defined traceability analysis in a multi-mode scene. The method mainly comprises the steps of customizing selectable site types, customizing selectable line types, customizing selectable path types and the like.
First, custom optional site types
The method provides a function of self-defining analysis according to the type attribute of the railway station, and mainly comprises the following steps:
station grade: the classification according to the railway station grades mainly comprises an extra station, a first station, a second station and the like.
The administration institution: and classifying according to the jurisdiction of the railway system.
The technical properties are as follows: and classifying according to the technical properties of railway stations.
Service property: the railway station is classified according to the service properties of the railway station and mainly comprises a passenger station, a freight station, a high-speed rail station and the like.
Second, custom selectable line types
The method provides a function of self-defining analysis according to the type attribute of the railway line, and mainly comprises the following steps:
line type: the railway line type classification mainly comprises high-speed railway special passenger trains, freight railways, passenger-freight mixed railways and the like.
Single and double line attributes: the classification is divided into single-track railways and double-track railways according to the attribute of the railway track.
The administration institution: and classifying according to the jurisdiction of the railway line.
Vehicle logarithm: and carrying out logarithmic classification on the vehicles running according to the railway line.
Electrification properties: the classification according to the electrification attribute of the railway line mainly comprises an electrified railway and a non-electrified railway.
The on time.
Operation speed: and classifying according to the highest allowable running speed of the railway line.
Third, custom alternate pathway types
The railway train traceability analysis technology supports self-defined traceability of optional path types on traceability target elements such as randomly selected stations, lines, areas, merging sets and the like according to a railway system train operation mechanism. The main functions include:
originating tracing: and (4) analyzing the target elements by any selected source tracing, and tracing all the railway starting trains. Analyzing and displaying the geographical space range which can be reached by all railway starting trains and the data statistical analysis result in the range, including but not limited to social economic analysis, population analysis, train number/logarithm, shift number/logarithm, the ratio of the source train to the global train, and the like.
And (4) ending to tracing: and (4) carrying out source tracing on all the railway terminal trains by randomly selecting the source tracing analysis target elements. Analyzing and displaying the geographical space range which can be reached by all railways to the train and the data statistical analysis result in the range, wherein the geographical space range comprises but is not limited to social economic analysis, population analysis, number/logarithm of trains, number/logarithm of shifts, proportion of the source train to the global train and the like.
Tracing the path: and (4) analyzing the target elements by arbitrarily selected tracing, and tracing all the trains of the origin, the terminal and the stop of the railways. Analyzing and displaying the geographic space range which can be reached by all railway starting, ending and stopping trains and the data statistical analysis result in the range, wherein the geographic space range comprises but is not limited to social economic analysis, population analysis, train number/logarithm, shift number/logarithm, the ratio of the source train to the global train and the like.
Therefore, the system for analyzing the source of the railway train 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.
And 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.
And the target line type selection module is used for selecting the target line type corresponding to the research requirement according to the attribute of the railway line type.
And the target path type selection module is used for selecting the target path type corresponding to the research requirement according to the railway train path type attribute.
A first data screening module 104 configured to:
and screening the railway train operation 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 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, target traceability content, target time, a target site type, a target route 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.
Example two
Referring to fig. 8, the method for analyzing the source of the train according to the present embodiment includes:
step 801: selecting a target area corresponding to research requirements according to different area granularities; the research demand includes at least a target area and a target railroad train type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, 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 train types; the target railroad train type is one or more of a high-speed train, a bullet train, an intercity train, an express train, a express 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 full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of 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 source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement.
The target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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. 9, a method for analyzing a train traceability is characterized by comprising:
step 901: selecting a target area corresponding to research requirements according to different area granularities; the research requirements at least comprise a target area and a target category type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, a land area, a city group area, a province area, a city area and a county area.
Step 902: selecting a target class type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses.
Step 903: selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of 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 category traceability data based on the passenger-cargo carrying path data corresponding to the research demand.
The target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
Example four
Referring to fig. 10, the method for analyzing the source of the train according to the present embodiment includes:
step 1001: selecting a target area corresponding to research requirements according to different area 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 product type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, 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 full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets.
Step 1003: selecting a target railway train type corresponding to the research requirement according to different train types; the target railroad train type is one or more of a high-speed train, a bullet train, an intercity train, an express train, a express train, and other trains.
Step 1004: selecting a target class type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses.
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 source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement.
Step 1008: and counting and visually displaying the target category traceability data based on the passenger-cargo carrying path data corresponding to the research demand.
The target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The method disclosed by the embodiment corresponds to the system disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the system part for description.
The principles and embodiments of the present invention have been described herein using specific examples, which are provided only to help understand the method and the core concept of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, the specific embodiments and the application range may be changed. In view of the above, the present disclosure should not be construed as limiting the invention.
Claims (10)
1. A railway train traceability analysis system, comprising:
a target area selection module to:
selecting a target area corresponding to research requirements according to different area 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 grade type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, a land area, a city group area, a province area, a city area and a county area;
a target traceability content selection module to:
selecting a target railway train type corresponding to the research requirement according to different train types;
and/or selecting the target category type corresponding to the research requirement according to different classification granularities;
the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses; the type of the target railway train is one or more of a high-speed rail train, a motor train, an intercity train, an express train, a direct train and other trains;
a traceability analysis mode selection module configured to:
selecting a target traceability analysis mode corresponding to the research requirement;
the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
a first data screening module to:
screening the railway train operation data in the database by taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions 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 to determine the passenger and cargo carrying path data corresponding to the research requirement;
a statistics module to:
counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement;
and/or counting and visually displaying the tracing data of the target categories based on the passenger-cargo carrying path data corresponding to the research demand;
the target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
2. The railroad train traceability analysis system of claim 1,
the statistic module is configured to:
visually displaying a source path, a destination path and each section of flow on the path of the target railway train in the target area on a map in a visual form based on the railway train operation data corresponding to the research demand, and displaying the transportation capacity distribution data of the reachable area of the target railway train in a data chart form;
and/or visually displaying the source path, the destination path and each section of traffic on the path of the target item in the target area in a visual form based on the passenger and cargo carrying path data corresponding to the research demand, and displaying the traffic distribution data of the reachable area of the target item in a data chart form.
3. The railroad train traceability analysis system of claim 1, further comprising: a second data screening module;
the second data screening module is configured to:
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 requirement; the first calibration area is an area of the target railway train path, and the first calibration area and the target area are not the same area;
and/or determining the passenger and cargo carrying path data between the target area and the second calibration area based on the passenger and cargo carrying path data corresponding to the research requirement; the second calibration area is an area of the target product pathway, and the second calibration area and the target area are not the same area.
4. The railroad train traceability analysis system of claim 1, further comprising: a calibration area selection module and a second data screening module;
the calibration area selection module is configured to:
selecting a calibration area corresponding to the research requirement according to the granularity of different areas;
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 path, and the first calibration area and the target area are not the same area; the second calibration area is an area of the target product path, and the second calibration area and the target area are not the same area;
the second data screening module is configured to:
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, screening railway train operation data in a database, and determining the railway train operation data between the target area and the first calibration area;
and/or screening passenger and cargo carrying path data in a database by taking a target area, a target category type, a 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. The railroad train traceability analysis system of claim 3 or 4, wherein the statistical module is configured to:
displaying a source path, a destination path and each section of flow on the path of the target railway train between the target area and the first calibration area on a map in a visual form based on the railway train operation data corresponding to the research demand, 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 a source path, a destination path and each section of traffic on the path of the target category between the target area and the second calibration area on a map in a visual form based on the passenger-cargo carrying path data corresponding to the research demand, and displaying the transportation volume distribution data of the target category between the target area and the second calibration area in a data chart form.
6. The railroad train traceability analysis system of claim 1, further comprising: a target time selection module;
the target time selection module is configured to: selecting target time corresponding to the research requirement according to the time version attributes of the railway train operation diagram and the railway train schedule data;
a first data screening module to:
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 target time corresponding to the research requirement as constraint conditions 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, a target traceability analysis mode and target time corresponding to the research requirement as constraint conditions to determine the passenger and cargo carrying path data corresponding to the research requirement.
7. The railway train source-tracing analysis system of claim 5, further comprising a target site type selection module, a target route type selection module and a target pathway 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 attribute of the railway line type;
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; the path types comprise an originating tracing source, a final tracing source and a path tracing source;
a first data screening module to:
screening the railway train operation data in the database by taking a target area, target traceability content, target time, a target site type, a target line type, a target path type and a target traceability analysis mode corresponding to the research requirement as constraint conditions 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, target traceability content, target time, a target site type, a target route 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.
8. A method for analyzing the source of a railway train is characterized by comprising the following steps:
selecting a target area corresponding to research requirements according to different area granularities; the research demand includes at least a target area and a target railroad train type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, 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 train types; the type of the target railway train is one or more of a high-speed rail train, a motor train, an intercity train, an 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 full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
screening the railway train operation data in the database by taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the railway train operation data corresponding to the research requirement;
counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement;
the target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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. A method for analyzing the source of a railway train is characterized by comprising the following steps:
selecting a target area corresponding to research requirements according to different area granularities; the research requirements at least comprise a target area and a target category type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, a land area, a city group area, a province area, a city area and a county area;
selecting a target class type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
screening passenger and cargo carrying path data in a database by taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the passenger and cargo carrying path data corresponding to the research requirement;
counting and visually displaying the target category traceability data based on the passenger-cargo carrying path data corresponding to the research demand;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
10. A method for analyzing the source of a railway train is characterized by comprising the following steps:
selecting a target area corresponding to research requirements according to different area 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 product type; the region granularity comprises railway line network level granularity, railway station level granularity, railway traffic cell level 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 regions; 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 district, 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 train types; the type of the target railway train is one or more of a high-speed rail train, a motor train, an intercity train, an express train, a direct train and other trains;
selecting a target class type corresponding to the research requirement according to different classification granularities; the target product types comprise passenger transport types, freight transport types, passenger subclasses and freight subclasses;
selecting a target traceability analysis mode corresponding to the research requirement; the target traceability analysis mode is one of a full-network traceability analysis mode, a local traceability analysis mode and a channel traceability analysis mode; the whole network traceability analysis mode is a mode of performing whole network traceability analysis on the railway train in the whole area by taking a whole area network as an analysis network, the local traceability analysis mode is a mode of performing local traceability analysis on the railway train in the local area by taking a local area network as the analysis network, and the channel traceability analysis mode is a mode of performing local traceability analysis on the railway train in the channel area by taking a channel area network as the analysis network; the local area is an area consisting of one target element area or one target element set; the channel area is composed of two target element areas, a target element area and a target element set or a region composed of two target element sets;
screening the railway train operation data in the database by taking a target area, a target railway train type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the railway train operation data corresponding to the research requirement;
screening passenger and cargo carrying path data in a database by taking a target area, a target class type and a target traceability analysis mode corresponding to the research requirement as constraint conditions to determine the passenger and cargo carrying path data corresponding to the research requirement;
counting and visually displaying the source tracing data of the target railway train based on the railway train operation data corresponding to the research requirement;
counting and visually displaying the target category traceability data based on the passenger-cargo carrying path data corresponding to the research demand;
the target railway train tracing data comprises the transport capacity distribution data of the target railway train based on a first set mapping relation and the target railway train tracing condition; the first set mapping relation is a mapping relation between a railway train running track 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;
the target product tracing data comprises the freight volume distribution data of the target product under the target product tracing condition based on a second set mapping relation; the second set mapping relation is a mapping relation between the passenger and cargo carrying path data and a railway line, a railway station or a geographic space; the target item source tracing condition is a condition which takes a target area, a target item type and a target source tracing analysis mode as constraints.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020198694A1 (en) * | 2001-06-22 | 2002-12-26 | Qi Yang | Traffic data management and simulation system |
| 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 |
-
2021
- 2021-08-11 CN CN202110917751.XA patent/CN113627955B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020198694A1 (en) * | 2001-06-22 | 2002-12-26 | Qi Yang | Traffic data management and simulation system |
| 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 |
|---|
| 施路等: "铁路物流全程化网络布局优化方法研究", 铁道运输与经济, no. 01, pages 39 - 45 * |
| 林晓言;李明真;陈小君;: "疫情对我国铁路行业发展的影响与对策", 铁道经济研究, no. 02, pages 1 - 6 * |
| 祝建平等: "高速铁路列车运行图编制云计算系统研究", 《铁道运输与经济》, vol. 42, no. 13, pages 1 - 20 * |
| 解振全: "江苏沿江城际铁路路网作用和功能定位研究", 《铁道标准设计》, pages 11 - 14 * |
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