Railway multi-dimensional environment intelligent route selection method and system
By acquiring and analyzing basic data and multidimensional environmental information of the route area, screening and confirming the areas to be laid, constructing a set of connecting lines and evaluating the results, the problem of high difficulty in railway line confirmation in the existing technology is solved, and efficient selection and wide service of railway lines are realized.
Patent Information
- Application Number
- CN202510539948.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-04-27
- Publication Date
- 2025-11-18
- Estimated Expiration
- 2045-04-27
AI Technical Summary
Existing technologies have failed to effectively screen out the areas to be laid in the route region and have not conducted multi-dimensional environmental analysis, which increases the difficulty of railway line confirmation, fails to provide effective decision-making data support, and reduces the efficiency and accuracy of railway line confirmation.
By acquiring basic data and multidimensional environmental information of the route area, the areas to be laid out are selected, the multidimensional results are analyzed, a set of connecting lines is constructed, and traffic and construction simulations are conducted to evaluate the results and confirm the railway route.
This enabled the selection of optimal railway lines, reduced construction difficulty, improved the accuracy and efficiency of decision-making, and made railway services more extensive and comprehensive.
Smart Images

Figure CN120450216B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of intelligent railway alignment technology, specifically to an intelligent alignment method and system based on a multi-dimensional railway environment. Background Technology
[0002] With the continuous expansion of railway lines, travel has become increasingly convenient. Therefore, the selection of railway lines is of paramount importance. By gaining a preliminary understanding of the location of various areas along the route, suitable wiring areas are determined. Furthermore, a multi-dimensional environmental analysis of the wiring areas is conducted to obtain multi-dimensional routes between regions. These multi-dimensional routes are then evaluated to achieve optimal selection of railway lines, improve the accuracy and efficiency of route decision-making, and enable railway applications to cover a wider and more comprehensive range of services.
[0003] Existing technologies, such as the invention patent application CN118469309B, disclose a knowledge graph-driven intelligent railway route selection method for karst areas. This method constructs a knowledge graph for karst area route selection based on relevant railway line design specifications and karst area treatment specifications; it then builds a risk-cost dual-objective route optimization model based on this knowledge graph; using the knowledge graph query function, it employs an intelligent railway route selection algorithm to generate multiple candidate routes for a specific study area; based on the risk-cost dual-objective route optimization model, it calculates the dual-objective solution results for each candidate route; and it uses a multi-criteria tournament decision-making system to rank the dual-objective solution results for each candidate route, with the candidate route corresponding to the optimal dual-objective solution result being the final recommended route. This invention can consider the influence of multi-dimensional environmental factors, satisfy multiple complex coupling constraints, and balance difficult-to-quantify and conflicting multi-dimensional evaluation objectives to obtain high-quality route solutions.
[0004] The above-mentioned solution has the following technical problems: The invention mainly generates multiple candidate routes for a specific research area, and then selects the final recommended route from these candidate routes. However, it does not perform preliminary screening of the locations of each area corresponding to the route, fails to achieve preliminary area confirmation, does not effectively determine the primary area, and fails to provide effective data support for subsequent route confirmation. Furthermore, it does not analyze the multi-dimensional environmental information of each pre-confirmed area to be routed in the route area, thus failing to understand the overall multi-dimensional value of each area to be routed under a multi-dimensional environment. This makes further area screening and confirmation impossible, increasing the difficulty of route confirmation. It also fails to analyze from the perspective of the areas to be routed, failing to obtain an effective and comprehensive set of connecting routes. Moreover, it does not simulate the traffic and construction conditions in real-world applications based on the analyzed set of connecting routes between the areas to be routed, failing to know the traffic and construction results of each connecting route between the areas to be routed. This fails to provide effective decision-making data bias for the final route confirmation, reducing the efficiency of railway route confirmation. Finally, it fails to consider the route screening perspective of each area to be routed in the route area and fails to achieve comprehensive intelligent route selection based on the multi-dimensional environment of railways. Summary of the Invention
[0005] To address the aforementioned technical shortcomings, the purpose of this invention is to provide an intelligent route selection method and system based on a multi-dimensional railway environment.
[0006] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides an intelligent route selection method based on a multi-dimensional railway environment, including: S1, preliminary screening of the route area: obtaining basic data of the location of each area corresponding to the route area, and based on the area standard intervals for screening historical railway lines corresponding to the route area stored in the database, thereby screening out each area to be laid out corresponding to the route area.
[0007] S2. Multidimensional analysis of the area to be wired: Obtain multidimensional environmental information of each area to be wired corresponding to the path area, and then analyze the multidimensional results of each area to be wired corresponding to the path area, and analyze the set of connection lines between each area to be wired corresponding to the path area.
[0008] S3. Railway Line Confirmation: Based on the analysis of the set of connecting lines between each area to be wired, a traffic simulation and construction simulation of the set of connecting lines between each area to be wired are constructed in actual application. Then, the traffic result value and construction result value of each connecting line between each area to be wired are evaluated. Based on the evaluated traffic result value and construction result value, the railway traffic line corresponding to the passage area is confirmed.
[0009] S4. Route Display: Displays the railway routes corresponding to the areas accessible by rail.
[0010] In a second aspect, the present invention provides an intelligent railway route selection system based on a multi-dimensional railway environment, comprising: a preliminary screening module for the route area, used to obtain basic data of the location of each area corresponding to the route area, and based on the regional standard intervals for screening historical railway lines corresponding to the route area stored in the database, thereby screening out each area to be laid out corresponding to the route area.
[0011] Multidimensional analysis of the area to be wired is used to obtain multidimensional environmental information of each area to be wired in the path area, and then analyze the multidimensional results of each area to be wired in the path area, and analyze the set of connection lines between each area to be wired in the path area.
[0012] The railway line confirmation module is used to construct traffic simulation and construction simulation of the connection line set between each area to be laid based on the analysis of the connection line set between each area to be laid. Then, it evaluates the traffic result value and construction result value of each connection line between each area to be laid. Based on the evaluated traffic result value and construction result value, it confirms the railway traffic line corresponding to the passage area.
[0013] The line display terminal is used to display the railway lines corresponding to the areas through which the railway passes.
[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: 1. The present invention provides a method and system for intelligent route selection based on multi-dimensional railway environment. By screening out each area to be laid in the passage area, and then analyzing the multi-dimensional environmental information of each area to be laid, the multi-dimensional results of each area to be laid in the passage area are understood. This allows for further screening and confirmation of the areas to be laid, resulting in a set of connecting lines between each area to be laid in the passage area. The system also evaluates the traffic result value and construction result value of each connecting line in the area, confirming the railway traffic line corresponding to the passage area. This enables the optimal selection of railway traffic lines in the passage area, reduces the difficulty and high loss of railway line construction in the passage area, ensures the effectiveness of railway line construction in the passage area, and enables railway lines in the passage area to better serve regional economic development. At the same time, based on the analysis of the multi-dimensional environment of the laying area, the correctness and efficiency of route decision-making are improved, making the application coverage of railway services more extensive and comprehensive.
[0015] 2. Obtain basic data on the location of each area corresponding to the route area, and filter out each area to be laid out in the route area to achieve preliminary regional establishment of the route area, avoid unnecessary blind analysis, and improve the efficiency of intelligent railway route selection.
[0016] 3. Obtain multi-dimensional environmental information of each area to be wired in the pathway area, and then analyze the multi-dimensional results of each area to be wired in the pathway area. Analyze the set of connecting lines between each area to be wired in the pathway area, and achieve analysis from multiple dimensions. This ensures that the pathway area has a comprehensive understanding of the data, provides multi-dimensional data support for line selection, and further improves the accuracy and effectiveness of decision-making.
[0017] 4. Based on the analyzed set of connection lines between each area to be wired, a traffic simulation and construction simulation of the connection lines between each area to be wired are constructed in practical applications. Then, the traffic result value and construction result value of each connection line between each area to be wired are evaluated. Based on the evaluated traffic result value and construction result value, the railway traffic line corresponding to the passage area is confirmed, thereby realizing the optimal selection of railway traffic line in the passage area, so that the railway line can better serve the regional economic development and make the application coverage of railway more extensive and comprehensive. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0019] Figure 1 This is a schematic diagram of the implementation steps of the method of the present invention.
[0020] Figure 2 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation
[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0022] Please see Figure 1 As shown, an intelligent route selection method based on multi-dimensional railway environment includes: S1, preliminary screening of the route area: obtaining basic data of the location of each area corresponding to the route area, and based on the area standard interval of the historical railway line corresponding to the route area stored in the database, thereby selecting each area to be laid out corresponding to the route area.
[0023] It should be noted that the location of each area in the passageway is monitored using the Global Navigation Satellite System, and satellite signals are received to obtain the three-dimensional coordinates of each location. This allows the acquisition of terrain data for each area in the passageway from these three-dimensional coordinates. Ground-penetrating radar is used to probe each area in the passageway to obtain geological data. The terrain data includes topographic elevation and slope, while the geological data includes the distribution of geological faults and groundwater levels.
[0024] In a specific embodiment of the present invention, the filtering process for obtaining each area to be wired in the route area is as follows: obtaining basic data of the location of each area in the route area, including terrain data and geological data.
[0025] The terrain data corresponding to each location in the access area is compared with the standard terrain data range of the historical railway lines corresponding to the access area stored in the database. At the same time, the geological data corresponding to each location in the access area is also compared with the standard geological data range of the historical railway lines corresponding to the access area stored in the database. If the terrain data corresponding to a certain location in the access area is within the standard terrain data range of the historical railway lines corresponding to the access area stored in the database, and the geological data of the corresponding location in the access area is also within the standard geological data range of the historical railway lines corresponding to the access area stored in the database, then the corresponding location in the access area is recorded as the area to be wired. By comparing and analogizing in this way, each area to be wired corresponding to the access area is obtained.
[0026] The system acquires basic data on the location of each area corresponding to the route and filters out the areas to be laid out in the route area, thus laying the initial regional foundation for the route area, avoiding unnecessary blind analysis, and improving the efficiency of intelligent railway route selection.
[0027] S2. Multidimensional analysis of the area to be wired: Obtain multidimensional environmental information of each area to be wired corresponding to the path area, and then analyze the multidimensional results of each area to be wired corresponding to the path area, and analyze the set of connection lines between each area to be wired corresponding to the path area.
[0028] It should be noted that the railway intelligent system obtains multi-dimensional environmental information for each area to be laid along the route. Natural environmental data includes the frequency and level of disasters; social connectivity data includes the number of regional connections and the level of economic development; and technological level data includes the level of construction equipment and the level of construction technology.
[0029] In a specific embodiment of the present invention, the analysis obtains multidimensional results for each area to be wired in the access area. The specific analysis process is as follows: Multidimensional environmental information includes natural environment data, social correlation data, and technological height data. The multidimensional environmental information for each area to be wired in the access area is imported into the multidimensional environmental comprehensive condition evaluation model. Then, the multidimensional result value for each area to be wired in the access area is obtained. If the multidimensional result value for a certain area to be wired in the access area is 1, it is determined that the multidimensional environment of the area to be wired meets the conditions for railway line construction, and the area to be wired is retained. If the multidimensional result value for a certain area to be wired in the access area is -1, it is determined that the multidimensional environment of the area to be wired does not meet the conditions for railway line construction, and the area to be wired is removed. This process is repeated for each area to be wired that does not meet the multidimensional environment conditions, resulting in the retained areas to be wired.
[0030] In a specific embodiment of the present invention, the analysis yields multidimensional result values for each area to be wired in the pathway region. The specific analysis process is as follows: A multidimensional environmental comprehensive condition evaluation model is used:
[0031] Where D q This represents the multidimensional result value for the q-th area to be wired in the pathway region, where q is the number of each area to be wired, q = 1, 2, ..., a, where a is any integer greater than 2. Z′ represents the set reference natural environment data, S′ represents the set reference social connectivity data, G′ represents the set technological level data, and W represents the set reference multidimensional result value. q S represents the natural environment data of the q-th area to be wired in the pathway region. q Social correlation data for the q-th area to be wired in the access area, G q The technical height data of the q-th area to be wired in the access area.
[0032] It should be noted that the reference natural environment data, reference social correlation data, reference technical height data, and reference multidimensional result values are set by professional railway personnel. The reference natural environment data is used to determine whether the multidimensional environment of each area to be laid in the current route area meets the conditions for railway line construction. The reference social correlation data, reference technical height data, and reference multidimensional result values have the same function as the reference natural environment data, so they will not be elaborated on further.
[0033] In a specific embodiment of the present invention, the analysis obtains a set of connection lines between each area to be wired corresponding to the pass area. The specific analysis process is as follows: obtain the distance between each area to be wired that is retained in the pass area, arrange the distance between each area to be wired in ascending order, and then connect the two areas with the shortest distance between each area to be wired. After the two areas are connected, continue to extend the connection of the lines in ascending order of the distance between each area to be wired. When the connection is made to the highest distance value in the ascending order of the distance between each area to be wired, the complete line between the areas to be wired is obtained. This process is repeated to obtain a set of connection lines between each area to be wired corresponding to the pass area.
[0034] By acquiring multi-dimensional environmental information of each area to be wired in the pathway region, and then analyzing the multi-dimensional results of each area to be wired in the pathway region, and analyzing the set of connecting lines between each area to be wired in the pathway region, the analysis can be carried out from multiple dimensions. This ensures that the pathway region has a comprehensive understanding of the data, provides multi-dimensional data support for line selection, and further improves the accuracy and effectiveness of decision-making.
[0035] S3. Railway Line Confirmation: Based on the analysis of the set of connecting lines between each area to be wired, a traffic simulation and construction simulation of the set of connecting lines between each area to be wired are constructed in actual application. Then, the traffic result value and construction result value of each connecting line between each area to be wired are evaluated. Based on the evaluated traffic result value and construction result value, the railway traffic line corresponding to the passage area is confirmed.
[0036] It should be noted that railway simulation software includes VISSIM and AnyLogic, among others.
[0037] In a specific embodiment of the present invention, the construction process of simulating the traffic flow and construction of the set of connecting lines between each area to be wired in practical applications is as follows: by setting a common destination and a unified departure time for the traffic lines, the traffic flow simulation of each connecting line between each area to be wired is carried out, and the traffic information of each connecting line between each area to be wired is obtained under the unified conditions set, including traffic efficiency, smoothness, traffic volume and signal coverage.
[0038] The system sets up a unified construction team and a pre-defined area of buildings to be demolished around the pre-defined routes. It also simulates the location of each area to be wired and the location of the equipment. Then, it obtains the construction information of each connecting line between each area to be wired under the pre-defined simulation, including construction and purchase costs, construction period, construction and retrieval distance, and resettlement costs. By combining the above line traffic simulation, it constructs a traffic simulation and construction simulation of the connecting line set between each area to be wired in actual application.
[0039] It should be noted that professional railway personnel set the common destination and unified departure time for the routes; professional railway personnel also set up a simulated unified construction team and pre-determined the area of buildings to be demolished around the routes; and professional railway personnel also set corresponding resettlement costs based on the area of buildings to be demolished around each route.
[0040] It should be noted that the construction and procurement costs are as follows: The region type of each connecting line between each area to be wired is compared with the region type of the corresponding railway line in the historical data stored in the database. If the region type of a connecting line between a certain area to be wired is the same as the region type of a historical railway line in the database, then the equipment used to construct that railway line in the past is used as the equipment for constructing that connecting line between the current areas. This process is repeated to obtain the construction and equipment used for each connecting line between each area to be wired, thus obtaining the corresponding connecting lines between each area to be wired. Construction and procurement costs; Construction period: Simultaneously, a unified construction team is set up to simulate the construction of each connecting line between each area to be wired, and the construction period of each connecting line between each area to be wired is obtained; Construction retrieval distance: Based on the simulated location of each area to be wired and the location of the equipment, the construction retrieval distance of each connecting line between each area to be wired is obtained; Relocation cost: Based on the overall location of each connecting line between each simulated area to be wired, the area of the buildings to be demolished around the line is preset, and the relocation cost of each connecting line between each area to be wired is obtained.
[0041] In a specific embodiment of the present invention, the evaluation process for assessing the passage results of each connecting line between each area to be wired is as follows: The passage information of each connecting line between each area to be wired is imported into the line passage evaluation model:
[0042] Among them N rLet x′ be the reference passage efficiency, y′ be the reference smoothness, u′ be the reference throughput, and d′ be the reference signal coverage. qr Let y be the throughput efficiency of the r-th connection line between the q-th areas to be wired. qr u represents the smoothness of the r-th connection line between the q-th areas to be wired. qr Let d be the throughput of the r-th connection line between the q-th areas to be wired. qr Let r be the signal coverage area of the r-th connection line between the q-th areas to be wired, where r is the number of each connection line.
[0043] It should be noted that reference construction and procurement costs, reference construction period, reference construction retrieval distance, and reference resettlement costs are set by professional railway personnel. The reference construction and procurement costs are used as a reference value to evaluate the construction status of each connecting line between each area to be laid. The reference construction period, reference construction retrieval distance, and reference resettlement costs serve the same purpose as the reference construction and procurement costs, so they will not be elaborated upon further.
[0044] In a specific embodiment of the present invention, the evaluation process for assessing the construction results of each connecting line between each area to be wired is as follows: The construction information of each connecting line between each area to be wired is imported into the line construction evaluation model:
[0045] H r Here, v′ represents the construction result value for the r-th connection line between the areas to be wired, b′ represents the set reference construction and procurement cost, ε′ represents the set reference construction retrieval distance, and ω′ represents the set reference installation cost. qr b represents the construction and purchase cost of the r-th connection line between the q-th areas to be wired. qr Let ε be the construction time for the r-th connection line between the q-th areas to be wired. qr ω represents the construction and retrieval distance between the q-th areas to be wired and the corresponding r-th connection line. qr This represents the cost of installing the r-th connection line between the q-th areas to be wired.
[0046] It should be noted that reference construction and procurement costs, reference construction period, reference construction retrieval distance, and reference resettlement costs are set by professional railway personnel. The reference construction and procurement costs are used as a reference value to evaluate the construction status of each connecting line between each area to be laid. The reference construction period, reference construction retrieval distance, and reference resettlement costs serve the same purpose as the reference construction and procurement costs, so they will not be elaborated upon further.
[0047] In a specific embodiment of the present invention, the confirmation process for obtaining the railway lines corresponding to the access areas is as follows: based on the access result value N of each connecting line between the areas to be wired. r and construction result value H r If (N) r ≥Ν′)∧(Η r If ≥Η′), then the corresponding connecting line between the areas to be wired will be taken as the railway passage line corresponding to the passage area, N′ is the set reference passage result value, Η′ is the set reference construction result value, and ∧ represents and .
[0048] If (N) r <N′)∨(Η r <Η′) will take the corresponding connection line between the areas to be wired as the alternative railway line for the passage area, and ∨ represents or.
[0049] If there are multiple railway lines in the passage result value and construction result value of each connecting line between the areas to be wired, then the difference between the passage result value and construction result value of each connecting line between the areas to be wired and the set passage result value and construction result value is obtained. The difference values are arranged in ascending order, and the connecting line between the areas to be wired corresponding to the first difference value is taken as the railway line corresponding to the passage area.
[0050] It should be noted that the reference traffic result value and the reference construction result value are set by professional railway personnel; the reference traffic result value and the reference construction result value are used to comprehensively evaluate the railway traffic lines in each connecting line.
[0051] Based on the analyzed set of connection lines between each area to be wired, a traffic simulation and a construction simulation of the connection lines between each area to be wired are constructed in practical applications. Then, the traffic result value and construction result value of each connection line between each area to be wired are evaluated. Based on the evaluated traffic result value and construction result value, the railway traffic line corresponding to the passage area is determined, thereby realizing the optimal selection of railway traffic line in the passage area, so that the railway line can better serve the regional economic development and make the application coverage of railway more extensive and comprehensive.
[0052] S4. Route Display: Displays the railway routes corresponding to the areas accessible by rail.
[0053] Please see Figure 2 As shown, a railway multi-dimensional environment-based intelligent route selection system includes a preliminary screening module for the passable area, a multi-dimensional analysis module for the area to be laid, a railway line confirmation module, a route display terminal, and a database.
[0054] The preliminary screening module for the access area is connected to the multidimensional analysis module for the area to be wired and the database, respectively. The multidimensional analysis module for the area to be wired is connected to the railway line confirmation module and the database, respectively. The railway line confirmation module is connected to the line display terminal and the database, respectively.
[0055] The preliminary screening module for the route area is used to obtain basic data on the location of each area corresponding to the route area, and based on the regional standard intervals for screening the historical railway lines corresponding to the route area stored in the database, it can then screen out each area to be laid out corresponding to the route area.
[0056] Multidimensional analysis of the area to be wired is used to obtain multidimensional environmental information of each area to be wired in the path area, and then analyze the multidimensional results of each area to be wired in the path area, and analyze the set of connection lines between each area to be wired in the path area.
[0057] The railway line confirmation module is used to construct traffic simulation and construction simulation of the connection line set between each area to be laid based on the analysis of the connection line set between each area to be laid. Then, it evaluates the traffic result value and construction result value of each connection line between each area to be laid. Based on the evaluated traffic result value and construction result value, it confirms the railway traffic line corresponding to the passage area.
[0058] The database is used to store basic data, regional standard ranges, multidimensional environmental information, access data, and construction data.
[0059] This invention, through screening out the areas to be wired in a passageway region, and then analyzing the multi-dimensional environmental information of each area to be wired, provides a multi-dimensional result for each area to be wired in the passageway region. This allows for further screening and confirmation of the areas to be wired, resulting in a set of connecting lines between the areas to be wired in the passageway region. The travel and construction results of each connecting line in the region are evaluated to confirm the railway lines to be wired in the passageway region. This enables the optimal selection of railway lines to be wired in the passageway region, reduces the difficulty and high losses in railway line construction, ensures the effectiveness of railway line construction in the passageway region, and allows railway lines in the passageway region to better serve regional economic development. At the same time, based on the analysis of the multi-dimensional environment of the wiring area, the correctness and efficiency of line decision-making are improved, making the application coverage of railways more extensive and comprehensive.
[0060] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.
Claims
1. A method for intelligent route selection based on a multi-dimensional railway environment, characterized in that, include: S1. Initial screening of the route area: Obtain the basic data of the location of each area corresponding to the route area, and based on the area standard interval of the historical railway line corresponding to the route area stored in the database, the area to be laid out is obtained. S2. Multidimensional analysis of the area to be wired: Obtain multidimensional environmental information of each area to be wired in the path area, and then analyze the multidimensional results of each area to be wired in the path area, and analyze the set of connection lines between each area to be wired in the path area. The analysis yielded multidimensional results for each area to be wired in the pathway region. The specific analysis process is as follows: Multidimensional environmental information includes natural environment data, social correlation data, and technological height data. The multidimensional environmental information of each area to be laid in the access area is imported into the multidimensional environmental comprehensive condition assessment model. Then, the multidimensional result value of each area to be laid in the access area is obtained. If the multidimensional result value of a certain area to be laid in the access area is 1, it is determined that the multidimensional environment of the area to be laid meets the conditions for railway line construction, and the area to be laid is retained. If the multidimensional result value of a certain area to be laid in the access area is -1, it is determined that the multidimensional environment of the area to be laid does not meet the conditions for railway line construction, and the area to be laid is removed. This process is repeated for each area to be laid that does not meet the multidimensional environment conditions, resulting in the retained areas to be laid. S3. Railway Line Confirmation: Based on the analysis of the set of connecting lines between each area to be wired, a traffic simulation and construction simulation of the set of connecting lines between each area to be wired in actual application are constructed. Then, the traffic result value and construction result value of each connecting line between each area to be wired are evaluated. Based on the evaluated traffic result value and construction result value, the railway traffic line corresponding to the passage area is confirmed. The specific construction process for building the set of connecting lines between each area to be wired is as follows: By setting a common destination and a unified departure time for the routes, the system simulates the route traffic between each connecting line in each area to be wired, and obtains the traffic information of each connecting line between each area to be wired under the unified conditions set, including traffic efficiency, smoothness, traffic volume and signal coverage. The system sets up a unified construction team and a pre-defined area of buildings to be demolished around the pre-defined route. It also simulates the location of each area to be wired and the location of the equipment. Then, it obtains the construction information of each connecting line between each area to be wired under the pre-defined simulation, including construction and purchase costs, construction period, construction and retrieval distance, and resettlement costs. It combines the above line traffic simulation to construct a traffic simulation and construction simulation of the connecting line set between each area to be wired in actual application. S4. Route Display: Displays the railway routes corresponding to the areas accessible by rail.
2. The intelligent route selection method based on multi-dimensional railway environment as described in claim 1, characterized in that, The filtering process yields the corresponding wiring areas for the pathway regions. The specific filtering process is as follows: Obtain basic data on the location of each region in the route area, including topographic and geological data; The terrain data corresponding to each location in the access area is compared with the standard terrain data range of the historical railway lines corresponding to the access area stored in the database. At the same time, the geological data corresponding to each location in the access area is also compared with the standard geological data range of the historical railway lines corresponding to the access area stored in the database. If the terrain data corresponding to a certain location in the access area is within the standard terrain data range of the historical railway lines corresponding to the access area stored in the database, and the geological data of the corresponding location in the access area is also within the standard geological data range of the historical railway lines corresponding to the access area stored in the database, then the corresponding location in the access area is recorded as the area to be wired. By comparing and analogizing in this way, each area to be wired corresponding to the access area is obtained.
3. The intelligent route selection method based on multi-dimensional railway environment as described in claim 1, characterized in that, The analysis yields multidimensional result values for each area to be wired in the pathway region. The specific analysis process is as follows: Through a multi-dimensional comprehensive environmental condition assessment model: ,in For the corresponding area of the passage Multidimensional result values for each area to be wired Assign numbers to each area to be wired. The reference natural environment data is used for setting. For the reference social correlation data, Data on the set technical height, The set reference multidimensional result value, For the corresponding area of the passage Natural environmental data for the area to be wired. Corresponding to the passage area Social connectivity data for the area to be wired. Corresponding to the passage area Technical height data for the area to be wired.
4. The intelligent route selection method based on multi-dimensional railway environment as described in claim 3, characterized in that, The analysis yields a set of connection lines between each area to be wired in the corresponding pathway region. The specific analysis process is as follows: Obtain the distances between the remaining areas to be wired in the corresponding pass area. Arrange the distances between the areas to be wired in the pass area in ascending order. Then, connect the two areas with the shortest distance between them. After the two areas are connected, continue to extend the connection of the lines in ascending order of the distances between the areas. When the connection reaches the highest distance value between the areas in ascending order, the complete line between the areas to be wired is obtained. Repeat this process to obtain the set of connection lines between the areas to be wired in the pass area.
5. The intelligent route selection method based on multi-dimensional railway environment as described in claim 1, characterized in that, The evaluation process for the connectivity results of each connection line between each area to be wired is as follows: Import the access information of each connecting line between each area to be wired into the line access assessment model: ,in For the corresponding first and second wiring areas The passage result value of each connecting line. This is a set reference traffic efficiency. The set reference smoothness, The reference volume for the setting For the set reference signal coverage area, For the first The corresponding number of areas to be wired is... The throughput efficiency of each connecting line. For the first The corresponding number of areas to be wired is... The smoothness of the connecting lines, For the first The corresponding number of areas to be wired is... The volume of traffic passing through each connecting line. For the first The corresponding number of areas to be wired is... The signal coverage of the connecting lines This refers to the numbering of each connecting line.
6. The intelligent route selection method based on multi-dimensional railway environment as described in claim 1, characterized in that, The evaluation process for constructing the corresponding connection lines between each area to be wired is as follows: Import the construction information of each connection line between each area to be wired into the line construction evaluation model: ,in For the corresponding first and second wiring areas The construction result value of each connecting line. The reference construction and procurement costs are set. This is the set reference construction period. The reference construction retrieval distance is set. The set reference resettlement cost, For the first The corresponding number of areas to be wired is... The construction and purchase costs of the connecting lines, For the first The corresponding number of areas to be wired is... The construction period for each connecting line, For the first The corresponding number of areas to be wired is... The distance for constructing and retrieving the connecting lines. For the first The corresponding number of areas to be wired is... The cost of installing the connecting lines.
7. The intelligent route selection method based on multi-dimensional railway environment as described in claim 1, characterized in that, The specific confirmation process for obtaining the railway routes corresponding to the access areas is as follows: Based on the passage results values of each connection line between the areas to be wired. and construction result value ,like Then the connecting line between the areas to be wired will be regarded as the railway passage line corresponding to the passage area. The set reference passage result value, The set reference construction result value, Represented as and; like The connecting line between the areas to be wired will then be considered as the alternative railway route for the corresponding passage area. Represented as OR; If there are multiple railway lines in the passage result value and construction result value of each connecting line between the areas to be wired, then the difference between the passage result value and construction result value of each connecting line between the areas to be wired and the set passage result value and construction result value is obtained. The difference values are arranged in ascending order, and the connecting line between the areas to be wired corresponding to the first difference value is taken as the railway line corresponding to the passage area.
8. A railway multi-dimensional environment intelligent route selection system implementing the intelligent route selection method based on the railway multi-dimensional environment as described in any one of claims 1-7, characterized in that, include: The preliminary screening module for the route area is used to obtain basic data on the location of each area corresponding to the route area, and based on the regional standard intervals for screening the historical railway lines corresponding to the route area stored in the database, to further screen out each area to be laid out corresponding to the route area. Multidimensional analysis of the area to be wired is used to obtain multidimensional environmental information of each area to be wired in the path area, and then analyze the multidimensional results of each area to be wired in the path area, and analyze the set of connection lines between each area to be wired in the path area. The railway line confirmation module is used to construct a traffic simulation and construction simulation of the connection line set between each area to be laid out based on the analysis of the connection line set between each area to be laid out in actual application, and then evaluate the traffic result value and construction result value of each connection line between each area to be laid out, and confirm the railway traffic line corresponding to the passage area based on the evaluated traffic result value and construction result value. The line display terminal is used to display the railway lines corresponding to the areas through which the railway passes.
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