Rail transit planning analysis and decision-making support method and system based on CIM model

Abstract

The present application discloses a rail transit planning analysis and decision-making assistance method and system based on a CIM model, which relates to the field of rail transit technology and discloses a rail transit planning analysis and decision-making assistance method based on a CIM model, including: responding to a data demonstration request for a rail transit planning path, determining the area information associated with the data demonstration request; obtaining statistical data and area layer information associated with the area information in the CIM model; outputting the statistical data based on the area layer information, and performing a data simulation demonstration of traffic changes on the statistical data when a simulated roaming instruction is triggered. Displaying through real-time data updates and an interactive visual rail transit planning system dynamically reflects the layout of multiple rail transit plans, thereby improving the decision-making management efficiency of rail transit planning.

Description

Technical Field

[0001] The present application relates to the field of rail transit technology, and in particular to a rail transit planning analysis and auxiliary decision-making method and system based on a CIM model. Background Art

[0002] In the process of rail transit planning, the relevant data sources of various factors such as passenger flow, construction cost, and economic impact are scattered in different fields. Therefore, it is necessary to organize multiple data tables, design multiple three-dimensional models, and use GIS (Geographic Information System) technology to build and analyze the transportation network.

[0003] However, since different data sources correspond to different data models, that is, the above data information is not associated and aggregated, it is difficult for decision makers to make decisions based on rail transit planning information, resulting in low efficiency in decision-making management of rail transit planning.

[0004] The above contents are only used to assist in understanding the technical solution of the present application and do not constitute an admission that the above contents are prior art. Summary of the invention

[0005] The main purpose of this application is to provide a rail transit planning analysis and auxiliary decision-making method and system based on the CIM model, aiming to solve the technical problem of low efficiency in decision-making management of rail transit planning.

[0006] To achieve the above objectives, the present application proposes a rail transit planning analysis and decision-making assistance method based on the CIM model, the method comprising:

[0007] In response to a data demonstration request for a rail transit planning path, determining area information associated with the data demonstration request;

[0008] Obtaining statistical data and regional layer information associated with the regional information in the CIM model;

[0009] The statistical data is output based on the regional layer information, and a data simulation demonstration of traffic changes is performed on the statistical data when a simulated roaming instruction is triggered.

[0010] In one embodiment, before the step of responding to the data demonstration request of the rail transit planning path and determining the area information associated with the data demonstration request, the step further includes:

[0011] Acquire building information of a rail transit planning area, and construct multiple physical building information based on the building information and the statistical data of the rail transit area;

[0012] The plurality of physical building information is added to the CIM model.

[0013] In one embodiment, after the step of adding the plurality of physical building information to the CIM model, the method further comprises:

[0014] Acquire track laying information and station information of the CIM model;

[0015] generating a plurality of the rail transit planning paths according to the track laying information, the station information and the statistical data; or

[0016] Determine the site information and the track path corresponding to the received track laying instruction, and generate the rail transit planning path according to the site information and the track path.

[0017] In one embodiment, the step of generating a plurality of the rail transit planning paths according to the track laying information, the station information and the statistical data comprises:

[0018] Establishing a transportation network optimization model according to the track path and the station information;

[0019] The statistical data is used as an input parameter of the transportation network model to obtain a plurality of rail transit planning paths.

[0020] In one embodiment, the step of obtaining statistical data and regional layer information associated with the regional information in the CIM model includes:

[0021] Acquire the statistical data associated with the region information in the CIM model;

[0022] Determine a path to be planned corresponding to the data demonstration request, and determine a plurality of city planning maps based on planning requirements of the path to be planned;

[0023] The regional layer information is constructed according to a plurality of the city planning maps.

[0024] In one embodiment, the step of outputting the statistical data based on the regional layer information and performing a data simulation demonstration of traffic changes on the statistical data when a simulated roaming instruction is triggered includes:

[0025] Determine the data category corresponding to the statistical data and determine the layer category of the regional layer information, wherein different layer categories are bound to statistical data of different data categories;

[0026] Outputting the statistical data bound to the layer category;

[0027] When the simulated roaming instruction is triggered, determining a simulated site associated with the simulated roaming instruction;

[0028] A data simulation demonstration is performed based on the statistical data corresponding to the location of the simulated site.

[0029] In one embodiment, after the step of outputting the statistical data based on the regional layer information and performing a data simulation demonstration of traffic changes on the statistical data when the simulated roaming instruction is triggered, the method further includes:

[0030] When receiving an adjustment instruction for the rail transit planned path, determining a target area associated with the adjustment instruction;

[0031] Acquiring planning information of the target area, and generating an adjustment priority according to the planning information;

[0032] When the adjustment priority is lower than a preset level, outputting an alarm prompt corresponding to the adjustment instruction;

[0033] When the adjustment priority is higher than or equal to the preset level, the adjustment action corresponding to the adjustment instruction is executed.

[0034] In one embodiment, after the step of outputting the statistical data based on the regional layer information and performing a data simulation demonstration of traffic changes on the statistical data when the simulated roaming instruction is triggered, the method further includes:

[0035] When receiving the scoring setting of the rail transit planning path, binding the scoring information associated with the scoring setting to the rail transit planning path;

[0036] In response to the decision instruction of the rail transit planned path, the rail transit planned path with the highest score is output.

[0037] In addition, to achieve the above-mentioned objectives, the present application also proposes a rail transit planning analysis and decision support system based on the CIM model, and the rail transit planning analysis and decision support system based on the CIM model includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the rail transit planning analysis and decision support method based on the CIM model as described above.

[0038] One or more technical solutions proposed in this application have at least the following technical effects:

[0039] The rail transit planning system first displays multiple rail transit planning paths, and then responds to a data demonstration request for one of the paths, determines the area information associated with the request, and then obtains the statistical data and area layer information associated with the area in the CIM model, outputs the statistical data in the area layer information, and simultaneously triggers a simulated roaming instruction to perform a data simulation demonstration of traffic changes on the statistical data. Based on this, through real-time data updates and interactive visualization of the rail transit planning system for display, the layout of multiple rail transit plans is dynamically reflected, thereby improving the decision-making and management efficiency of rail transit planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0042] Figure 1 A flowchart of the first embodiment of the rail transit planning analysis and decision-making assistance method based on the CIM model provided by the present application;

[0043] Figure 2 A flow chart of a second embodiment of the rail transit planning analysis and decision-making assistance method based on the CIM model provided in this application;

[0044] Figure 3 A flowchart of a third embodiment of the rail transit planning analysis and decision-making assistance method based on the CIM model provided in this application;

[0045] Figure 4 A flowchart of a fourth embodiment of the rail transit planning analysis and decision-making assistance method based on the CIM model provided in this application;

[0046] Figure 5 This is a schematic diagram of the equipment structure of the hardware operating environment involved in the rail transit planning analysis and auxiliary decision-making method based on the CIM model in the embodiment of the present application.

[0047] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0048] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0049] In this embodiment, for ease of description, the following description is made by taking the rail transit planning analysis and decision support system based on the CIM model as the execution subject.

[0050] In the prior art, when conducting rail transit planning, different data sources correspond to different data models, and data on various factors such as passenger flow, construction costs and economic impact are not associated and aggregated. It is difficult for decision makers to make decisions based on rail transit planning information, resulting in low efficiency in decision-making and management of rail transit planning.

[0051] The present application provides a solution, which is based on the rail transit planning system to display multiple rail transit planning paths, and then respond to the data demonstration request of one of the paths, determine the area information associated with the request, and then obtain the statistical data and area layer information associated with the area in the CIM model, output the statistical data in the area layer information, and when the simulation roaming instruction is triggered, perform a data simulation demonstration of traffic changes on the statistical data.

[0052] It can be seen from the above embodiments that the present application, through real-time data updates and interactive visual rail transit planning system display, dynamically reflects the layout of multiple rail transit planning, and improves the decision-making and management efficiency of rail transit planning.

[0053] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0054] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, a rail transit planning analysis and decision support system based on a CIM model, hereinafter referred to as a planning analysis and decision support system. The following takes the planning analysis and decision support system as an example to illustrate this embodiment and the following embodiments.

[0055] Based on this, an embodiment of the present application provides a rail transit planning analysis and decision-making support method based on the CIM model, wherein the planning analysis and decision-making support system can associate the population, economic and other data around the track corresponding to the rail transit planning path with the surrounding building information, so as to facilitate users to select any range in the map display area of ​​the planning analysis and decision-making support system, and output and display statistical data such as the population size and economic scale of the selected area, so as to prepare data analysis for the decision-making of the rail transit planning path.

[0056] Furthermore, the planning analysis and decision-making support system can overlay multiple related layers such as existing rail distribution maps, key economic zones / industrial park distribution maps, rail station distribution maps, regional economic conditions, public transportation distribution maps, and important infrastructure (cultural and sports venues, schools, hospitals, etc.) distribution maps on the CIM (City Information Modeling) platform, thereby displaying the overall situation of rail planning and the impact on surrounding areas. At the same time, on the planning analysis and decision-making support system, users can also roam through the planned rails, and display simulation analysis data in real time during the roaming process, including but not limited to the main industries, public facilities, and residential areas around the rail path, expected passenger flow analysis, overall time, economic driving conditions, and rail operation income, etc., so as to provide analysis data from a macro and meso perspective and improve the decision-making efficiency of rail transit planning paths. Among them, the planning analysis and decision-making support system displays multiple sets of rail transit planning path solutions, and improves decision-making efficiency by displaying and comparing the advantages and disadvantages of each planning solution.

[0057] Based on this, please refer to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the rail transit planning analysis and auxiliary decision-making method based on the CIM model of this application.

[0058] In this embodiment, the rail transit planning analysis and auxiliary decision-making method based on the CIM model includes steps S10 to S30:

[0059] Step S10, in response to a data demonstration request for a rail transit planning path, determining area information associated with the data demonstration request;

[0060] It should be noted that the planned rail transit path refers to the traffic path information to be laid displayed in the display interface of the planning analysis and decision support system, which can intuitively display the location of the station, the curvature of the line, and the length of the track. The data demonstration request refers to the request instruction triggered by the user selecting a station corresponding to a planned path on the planning analysis and decision support system, or demarcating an area in a rail transit planned path for data viewing. The area information refers to the area information corresponding to the user selecting a station or demarcating an area. Among them, the data demonstration request includes the data demonstration of the station, the simulated path demonstration of the current area, and the demonstration of regional traffic changes.

[0061] In this embodiment, after the planning analysis and decision support system is started, multiple rail transit planning paths are output and displayed, and then the user responds to the data demonstration request operation triggered by the planning analysis and decision support system, and the area information associated with the request is determined, so as to display the data based on the area information, thereby improving the display effect of the rail transit planning path.

[0062] Step S20, obtaining statistical data and regional layer information associated with the regional information in the CIM model;

[0063] It should be noted that the statistical data includes the population, legal person, business operation data, traffic congestion data, and building data of the area. The regional layer information refers to the corresponding information of the existing rail distribution map, key economic zone / industrial park distribution map, rail station distribution map, regional economic conditions, public transportation distribution map, important infrastructure (cultural and sports venues, schools, hospitals, etc.) distribution map and other urban planning maps corresponding to the area. After being superimposed and displayed on the planning analysis and decision support system, the planning analysis and decision support system can be applied to the CIM platform.

[0064] As an optional implementation, the statistical data associated with the regional information in the CIM model can be obtained, and then the path to be planned corresponding to the data demonstration request is determined, and multiple city planning maps are determined based on the planning requirements of the path to be planned, wherein the path to be planned refers to the rail path to be planned that exists in the regional information defined by the user, and the city planning map includes the existing rail distribution map of the current city, the distribution map of key economic areas / industrial parks, the distribution map of rail stations, the economic conditions of each region, the public transportation distribution map, and the distribution map of important infrastructure (cultural and sports venues, schools, hospitals, etc.). Finally, the regional layer information is constructed based on multiple city planning maps, that is, multiple different city planning maps are superimposed and displayed on the planning analysis and decision support system to form regional layer information.

[0065] Based on this, the planning analysis and decision support system can decompose the rail planning principles and influencing factors, namely statistical data, according to the specific needs of rail planning, and select the existing map layer, namely the urban planning map, based on these factors, and then overlay multiple related urban planning maps on the CIM platform corresponding to the planning analysis and decision support system, so that the overall situation of rail planning and its impact on surrounding areas can be displayed as needed, thereby facilitating the analysis of statistical data and improving the decision-making efficiency of rail transit planning routes.

[0066] In this embodiment, by obtaining the statistical data of regional information in the CIM model and the regional layer information, it is possible to effectively calculate and analyze the population, enterprises and economic conditions in the region through the building information covered by the region, and display it on the regional layer information, thereby providing dynamic data support for rail transit planning and improving the decision-making management effect and efficiency of rail transit planning.

[0067] Step S30, outputting the statistical data based on the regional layer information, and performing a data simulation demonstration of traffic changes on the statistical data when a simulated roaming instruction is triggered.

[0068] In this embodiment, after constructing the regional layer information, different superimposed urban planning maps can display different categories of data. Therefore, statistical data can be output and displayed based on the layer category of the regional layer information. The simulated roaming instruction refers to the content of simulating and demonstrating data such as traffic changes, changes in surrounding road conditions, and possible changes in economic benefits at a certain simulated site. Among them, since the statistical data is displayed in the regional layer, data simulation demonstration can be performed based on the statistical data in the simulated site.

[0069] Specifically, the data category corresponding to the statistical data and the layer category of the regional layer information can be determined first, wherein different layer categories are bound to statistical data of different data categories, and then the statistical data bound to the layer category is output. For example, when the layer category is school, the statistical information of the number of students / teachers that match the school information is output in the school area. Then, when the simulated roaming instruction is triggered, the simulated site associated with the simulated roaming instruction is determined, and a data simulation demonstration is performed based on the statistical data corresponding to the location of the simulated site. For example, after the user clicks the simulated roaming instruction corresponding to the simulated site A, the planning analysis and decision support system simulates the traffic change information based on the data of the simulated site A.

[0070] In this implementation, after displaying the personnel information, economic information, etc. of the simulated site, the traffic pressure changes corresponding to the planned rail transit path can be intuitively displayed through simulated roaming, that is, better displaying future traffic changes and the corresponding economic demand changes after the rail station is built. At the same time, through simulation, the advantages and disadvantages of multiple tracks to be planned can be more intuitively compared, thereby more intuitively displaying the information of the current planned rail transit path.

[0071] This embodiment provides a rail transit planning analysis and decision-making assistance method based on the CIM model. After responding to the data demonstration request of the rail transit planning path, the regional information of the data demonstration request is determined, and then different layer information is superimposed through CIM, all statistical data are aggregated into the regional layer information, and the planning-related information is superimposed in the form of charts and text to improve the display effect of the rail transit planning. Furthermore, by superimposing multiple map layers in the CIM model and associating the data with the layers, the planning analysis and display of rail transit are performed, and then the layout of the rail transit planning and future simulation operation data are dynamically reflected on one screen, so that the planning analysis and decision-making assistance system can intuitively display the traffic operation status and its changing trend in a specific area, so that users can more accurately evaluate the potential impact of different planning schemes on traffic conditions, thereby improving the efficiency and accuracy of planning and decision-making.

[0072] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the first embodiment can refer to the above introduction, and will not be repeated in the following. Figure 2 Before step S10, the rail transit planning analysis and decision-making assistance method based on the CIM model further includes steps S01-S02:

[0073] Step S01, obtaining building information of a rail transit planning area, and constructing a plurality of entity building information based on the building information and the statistical data of the rail transit area;

[0074] Step S02: adding the plurality of entity building information to the CIM model.

[0075] In rail transit planning, some variables are changing dynamically, such as the number of people affected by the planned station. This value is closely related to the station's impact range, which may cover an area within 100 meters of the station or extend to a range of 1 kilometer. Different coverage ranges will lead to significant differences in the number of people. Usually, each time a different range appears, the corresponding number of people needs to be recalculated, such as the number of people using / changing, which affects the decision-making efficiency of rail transit planning.

[0076] Based on this, it is necessary to use the function of CIM to operate the buildings in the area individually, that is, to make each building a separately manageable data entity, and then associate statistical data such as population, legal person, and business operations with building data. In this way, when planning rail transit, by arbitrarily selecting an area near a station, the changes in statistical data in the area, such as changes in population, enterprises, and economic conditions, can be calculated and analyzed based on the building information covered in the area, thereby providing dynamic data for rail transit planning and improving the decision-making efficiency of rail transit planning.

[0077] Therefore, in this embodiment, when the buildings in the area are operated individually, it is necessary to obtain the building information of the rail transit planning area, which covers the information of each building. Based on the building information and the statistical data of the rail transit area, multiple entity building information is constructed. For example, the population data in the statistical information is attached to the specific building, and then the multiple entity building information is added to the CIM model, so that the buildings operated individually are accurately located on the CIM map. When demonstrating the data of the rail transit planning path, the user selects any range on the CIM map of the planning analysis and decision support system, and then the system automatically calculates the population, enterprise information and economic data of the buildings within the range, and outputs and displays these data in the corresponding area layer, so as to achieve dynamic calculation and analysis of statistical data and improve the decision-making efficiency of the rail transit planning path.

[0078] This embodiment provides a rail transit planning analysis and decision-making assistance method based on the CIM model. By acquiring the building information of the rail transit planning area, and constructing multiple entity building information based on this information and the statistical data of the rail transit area, and then adding these entity building information to the CIM model, the statistical data can be associated with the entity data in the CIM, so that the statistical data has geographical attributes, which is convenient for statistical analysis of geography-related data. At the same time, the population data and economic data are associated with the buildings, so that the buildings have specific locations on the map, so that the population and economic conditions in the area can be statistically analyzed through the buildings contained in the area, and then the rail transit planning decision can be made through the analysis results, thereby improving the decision-making efficiency.

[0079] Based on the second embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those of the second embodiment can be referred to the above introduction, and will not be repeated in the following. Figure 3 After step S02, the rail transit planning analysis and decision-making assistance method based on the CIM model further includes steps S03-S04:

[0080] Step S03, obtaining track laying information and station information of the CIM model;

[0081] Step S04: generating a plurality of the rail transit planning paths according to the track laying information, the station information and the statistical data.

[0082] In this embodiment, after adding the physical building information to the CIM model, the planning analysis and decision support system can automatically generate multiple rail transit planning paths based on the current track laying information, station information and statistical data corresponding to these information of the CIM model.

[0083] Optionally, when generating a rail transit planning path, in addition to automatically generating it in the background through the planning analysis and auxiliary decision-making system, you can also manually select a track laying instruction in the display interface, then set the corresponding station and track path, and connect these stations and track paths to obtain the rail transit planning path. Therefore, the planning analysis and auxiliary decision-making system can determine the station information and track path corresponding to the received track laying instruction, and generate the rail transit planning path based on the station information and the track path.

[0084] As an optional implementation method for automatically generating rail transit planning paths based on a planning analysis and decision support system, a transportation network optimization model can be established based on the rail path and the station information, and then the statistical data can be used as input parameters of the transportation network optimization model to obtain multiple rail transit planning paths.

[0085] Specifically, first collect the existing track route direction, length and other information in the CIM model, then establish a rail transit optimization model based on the collected statistical laying information and station information, and use the statistical data as the input parameter of the rail transit network optimization model. Based on optimization algorithms such as genetic algorithms, ant colony algorithms or particle swarm optimization algorithms, the statistical data is processed, the algorithm is implemented and the parameters are adjusted. For example, after the statistical data is input as input parameters into the optimization model, according to the specific requirements of the selected algorithm, the parameters such as group size, number of iterations, and crossover rate are adjusted to ensure that the algorithm runs effectively and finds high-quality solutions. Finally, after the algorithm runs, multiple rail transit planning path solutions are generated.

[0086] The embodiment of the present application discloses a rail transit planning analysis and decision-making assistance method based on the CIM model. After adding the physical building information to the CIM model to complete the unitization operation of the building information in the rail transit planning area, the track laying information and station information in the CIM model are obtained, and multiple rail transit planning path solutions are generated in combination with statistical data. This can effectively improve the accuracy of the planning, ensure that the planning solution can be closer to the actual needs and geographical conditions, and reduce planning errors caused by incomplete or inaccurate information. At the same time, using the data of the CIM model for planning can significantly shorten the planning cycle, improve planning efficiency, and enable the planning analysis and decision-making assistance system to more intuitively display the information of the rail transit planning path.

[0087] Based on the first embodiment of the present application, in the fourth embodiment of the present application, the same or similar contents as those in the first embodiment can refer to the above description and will not be described in detail later. Figure 4 After step S30, the rail transit planning analysis and decision-making assistance method based on the CIM model further includes steps S40 to S60:

[0088] Step S40, upon receiving an adjustment instruction for the rail transit planning path, determining a target area associated with the adjustment instruction;

[0089] In this embodiment, after the user triggers the data simulation demonstration of rail transit changes based on the simulated roaming instruction, one or more of the planned rail transit paths can be adjusted according to the results of the simulation demonstration, thereby optimizing the planned rail transit paths based on the actual simulation demonstration content, and further improving the decision-making efficiency of whether the optimized paths are put into use.

[0090] Therefore, after the planning analysis and decision support system receives the rail transit route adjustment instruction input by the user, it first determines the target area information associated with the instruction. For example, if the user extends a station D between stations B and C, the target area information associated with the instruction is the area information of station D. By obtaining the target area associated with the adjustment instruction, the current path planning status can be determined based on the area, so as to provide prompts for whether to adjust and the subsequent impact based on the current planning status, provide auxiliary assistance for subsequent decision-making, and thus improve decision-making efficiency.

[0091] Step S50, obtaining planning information of the target area, and generating an adjustment priority according to the planning information;

[0092] In this embodiment, the planning information includes the future development blueprint of the target area, including detailed information on land use planning, architectural design, public facilities layout, transportation system structure, environmental protection measures, etc. After obtaining the planning information of the area, the adjustment priority can be determined according to the planning information. For example, in the planning information, the target area is built into an ecological nature reserve. The area usually has rich biodiversity and a unique ecosystem. The construction of rail transit may destroy the original ecological environment. Therefore, the priority corresponding to the planning information is usually less than the preset level. For example, the priority is between 1 and 5, and the preset level is 3. When the priority is less than 3, it means that the target area is not suitable for laying rail transit. Or the target area is a densely populated area. Although rail transit can alleviate traffic pressure, construction in an old urban area with too dense a population will face the problem of land acquisition and demolition, and the adjustment priority is usually lower than the preset level. When the target area is a commercial center or is about to become a commercial center, the area usually needs to lay tracks, and the adjustment priority will be greater than the preset level.

[0093] The adjustment priority is determined through the planning information of the target area, which facilitates the planning analysis and decision-making support system to provide data-assisted prompts, thereby improving decision-making efficiency.

[0094] Step S60: When the adjustment priority is higher than or equal to a preset level, executing an adjustment action corresponding to the adjustment instruction.

[0095] Specifically, if the adjustment priority is higher than or equal to the preset level, it means that tracks need to be laid in the target area, and the adjustment action of the rail transit path is performed at this time.

[0096] Optionally, when the adjustment priority is lower than a preset level, an alarm prompt corresponding to the adjustment instruction is output so that the user can make further optimization decisions based on the alarm information.

[0097] In another optional implementation, after performing a data simulation demonstration of traffic changes on the statistical data when the simulated roaming instruction is triggered, the user can score multiple rail transit planning paths so as to output the rail transit planning path corresponding to the decision instruction based on the scoring result. Specifically, when the scoring setting of the rail transit planning path is received, the scoring information associated with the scoring setting is bound to the rail transit planning path, and then in response to the decision instruction of the rail transit planning path input by the user, the rail transit planning path with the highest score is output. Among them, when performing the scoring setting, the entire path and multiple stations of multiple rail transit planning paths can be scored.

[0098] The embodiment of the present application discloses a rail transit planning analysis and decision-making assistance method based on the CIM model. Based on the adjustment instructions of the received rail transit path, the target area that needs to be adjusted is determined, and then the adjustment priority is generated through the planning information of the target area to ensure that only adjustments with a priority level higher than or equal to the preset level will be executed. At the same time, in the case of a lower priority, a corresponding alarm prompt is output to remind the user to optimize the decision. Based on this, the decision-making efficiency is improved while improving the optimization efficiency of the rail transit planning path. At the same time, by setting a scoring mechanism, multiple scoring processes are performed on multiple rail transit planning paths, so that users can make auxiliary decisions based on the scoring operation, thereby improving the decision-making efficiency of the rail transit planning path.

[0099] It should be noted that the above embodiments are only used to understand the present application and do not constitute a limitation of the present application. More simple transformations based on this technical concept are all within the protection scope of the present application.

[0100] The present application provides a rail transit planning analysis and auxiliary decision-making system based on a CIM model. The rail transit planning analysis and auxiliary decision-making system based on a CIM model includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the rail transit planning analysis and auxiliary decision-making method based on the CIM model in the above-mentioned first embodiment.

[0101] Reference below Figure 5, which shows a schematic diagram of the structure of a rail transit planning analysis and decision-making assistance system based on a CIM model suitable for implementing an embodiment of the present application. The rail transit planning analysis and decision-making assistance system based on a CIM model in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions: tablet computers), PMPs (Portable Media Players: portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 5 The rail transit planning analysis and auxiliary decision-making system based on the CIM model shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0102] like Figure 5 As shown, the rail transit planning analysis and auxiliary decision-making system based on the CIM model may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 to the random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the rail transit planning analysis and auxiliary decision-making system based on the CIM model are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; output devices 1008 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 1003 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 1009. The communication device 1009 can allow the rail transit planning analysis and decision support system based on the CIM model to communicate wirelessly or wired with other devices to exchange data. Although the figure shows a rail transit planning analysis and decision support system based on the CIM model with various systems, it should be understood that it is not required to implement or have all the systems shown. More or fewer systems may be implemented or have alternatively.

[0103] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0104] The rail transit planning analysis and decision support system based on the CIM model provided by the present application adopts the rail transit planning analysis and decision support method based on the CIM model in the above-mentioned embodiment, which can solve the technical problem of low efficiency of decision-making management of rail transit planning. Compared with the prior art, the beneficial effects of the rail transit planning analysis and decision support system based on the CIM model provided by the present application are the same as the beneficial effects of the rail transit planning analysis and decision support method based on the CIM model provided by the above-mentioned embodiment, and the other technical features of the rail transit planning analysis and decision support system based on the CIM model are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0105] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0106] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0107] The present application provides a computer-readable storage medium having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the rail transit planning analysis and auxiliary decision-making method based on the CIM model in the above-mentioned embodiment.

[0108] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, systems or devices, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0109] The above-mentioned computer-readable storage medium may be included in the rail transit planning analysis and auxiliary decision-making system based on the CIM model; or it may exist independently without being assembled into the rail transit planning analysis and auxiliary decision-making system based on the CIM model.

[0110] The computer-readable storage medium carries one or more programs. When the one or more programs are executed by the rail transit planning analysis and auxiliary decision-making system based on the CIM model, the rail transit planning analysis and auxiliary decision-making system based on the CIM model:

[0111] In response to a data demonstration request for a rail transit planning path, determining area information associated with the data demonstration request;

[0112] Obtaining statistical data and regional layer information associated with the regional information in the CIM model;

[0113] The statistical data is output based on the regional layer information, and a data simulation demonstration of traffic changes is performed on the statistical data when a simulated roaming instruction is triggered.

[0114] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0115] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0116] The modules involved in the embodiments of the present application may be implemented by software or hardware, wherein the name of the module does not limit the unit itself in some cases.

[0117] The readable storage medium provided in the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned rail transit planning analysis and decision-making assistance method based on the CIM model, and can solve the technical problem of low decision-making management efficiency of rail transit planning. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in the present application are the same as the beneficial effects of the rail transit planning analysis and decision-making assistance method based on the CIM model provided in the above-mentioned embodiment, and will not be repeated here.

[0118] The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the rail transit planning analysis and auxiliary decision-making method based on the CIM model as described above.

[0119] The computer program product provided by this application can solve the technical problem of low decision-making management efficiency in rail transit planning. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the rail transit planning analysis and auxiliary decision-making method based on the CIM model provided in the above embodiment, which will not be repeated here.

[0120] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A rail transit planning analysis and decision-making support method based on CIM model, characterized in that: The method comprises: Acquire building information of the rail transit planning area, and construct multiple entity building information based on the building information and statistical data of the rail transit planning area, wherein the statistical data includes population, legal person and business operation data of the area information; Adding a plurality of said physical building information to the CIM model, wherein each physical building information is a separately manageable data entity; Acquire track laying information and station information of the CIM model; Establishing a transportation network optimization model according to the track laying information and the station information; Using the track laying information and the statistical data corresponding to the station information as input parameters of the transportation network optimization model, and processing the input parameters based on a genetic algorithm, an ant colony algorithm or a particle swarm optimization algorithm to obtain a plurality of the rail transit planning paths; In response to a data demonstration request for a rail transit planning path, determining area information associated with the data demonstration request; Acquire the statistical data associated with the region information in the CIM model; Determine the path to be planned corresponding to the data demonstration request, and determine multiple city planning maps based on the planning requirements of the path to be planned, the city planning maps including existing rail distribution maps, key economic areas / industrial park distribution maps, rail station distribution maps, regional economic situation distribution maps, and important infrastructure distribution maps; Constructing regional layer information according to the plurality of city planning maps; Based on the regional layer information, statistical data associated with the regional information in the CIM model are output, and when a simulated roaming instruction is triggered, a data simulation demonstration of traffic pressure changes is performed on the statistical data associated with the regional information in the CIM model.

2. The method according to claim 1, characterized in that The step of outputting the statistical data associated with the regional information in the CIM model based on the regional layer information, and performing a data simulation demonstration of traffic pressure changes on the statistical data associated with the regional information in the CIM model when triggering the simulated roaming instruction includes: Determine the data category corresponding to the statistical data and determine the layer category of the regional layer information, wherein different layer categories are bound to statistical data of different data categories; Outputting the statistical data bound to the layer category; When the simulated roaming instruction is triggered, determining a simulated site associated with the simulated roaming instruction; A data simulation demonstration is performed based on the statistical data corresponding to the location of the simulated site.

3. The method according to claim 1, characterized in that After the step of outputting the statistical data associated with the regional information in the CIM model based on the regional layer information, and performing a data simulation demonstration of traffic pressure changes on the statistical data associated with the regional information in the CIM model when the simulated roaming instruction is triggered, the method further includes: When receiving an adjustment instruction for the rail transit planned path, determining a target area associated with the adjustment instruction; Acquiring planning information of the target area, and generating an adjustment priority according to the planning information; When the adjustment priority is lower than a preset level, outputting an alarm prompt corresponding to the adjustment instruction; When the adjustment priority is higher than or equal to the preset level, the adjustment action corresponding to the adjustment instruction is executed.

4. The method according to claim 1, characterized in that After the step of outputting the statistical data associated with the regional information in the CIM model based on the regional layer information, and performing a data simulation demonstration of traffic pressure changes on the statistical data associated with the regional information in the CIM model when the simulated roaming instruction is triggered, the method further includes: When receiving the scoring setting of the rail transit planning path, binding the scoring information associated with the scoring setting to the rail transit planning path; In response to the decision instruction of the rail transit planned path, the rail transit planned path with the highest score is output.

5. A rail transit planning analysis and decision support system based on CIM model, characterized in that: The display of the rail transit planning includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the rail transit planning analysis and decision support method based on the CIM model as described in any one of claims 1 to 4.

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