Heavy haul railway construction influence approach intelligent recommendation method
By using intelligent recommendation methods, the impact of construction on routes is automatically analyzed, and affected and recommended routes are marked. This solves the problem of low efficiency of manual analysis during heavy-haul railway construction and achieves efficient and accurate scheduling decision support.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHUOHUANG RAILWAY DEV
- Filing Date
- 2026-03-24
- Publication Date
- 2026-06-30
AI Technical Summary
During the construction of heavy-haul railways, traditional scheduling methods rely on manual analysis of the impact range of equipment, resulting in a large workload, easy misjudgment and untimely recommendations, which affect transportation efficiency and safety. Existing intelligent systems are insufficient in the automated analysis and intelligent recommendation of routes affected by construction, making it difficult to meet the scheduling needs under high-load transportation scenarios.
This paper provides an intelligent route recommendation method for the impact of heavy-haul railway construction. By responding to query operations and displaying query parameter setting pages, matching and displaying query results, generating a list of affected routes, and marking affected and recommended routes on the train operation plan map, the paper achieves efficient and intelligent planning and visualization.
It reduces the complexity of manual inquiries, improves business processing efficiency, ensures the accuracy and relevance of information acquisition, reduces human judgment errors, and enhances the efficiency and security of the route scheduling system.
Smart Images
Figure CN122300575A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of heavy-haul railway dispatching automation technology, and in particular to an intelligent route recommendation method for the impact of heavy-haul railway construction. Background Technology
[0002] With the increasing density of heavy-haul railway transportation, the temporary shutdown of equipment such as turnouts and turnoutless sections during construction has a more significant impact on train routes. In traditional dispatching methods, dispatchers usually rely on manual analysis of the impact range of equipment, identification of affected routes, and planning of alternative solutions. This is not only labor-intensive but also prone to problems such as omissions in the assessment of the impact range and untimely recommendations for route changes due to human factors, thus affecting transportation efficiency and safety.
[0003] Currently, while more intelligent heavy-haul railway dispatching systems have achieved centralized monitoring of train operation status, they still have shortcomings in the automated analysis and intelligent recommendation of routes affected by construction, making it difficult to meet the dispatching needs under high-load transportation scenarios. Therefore, under construction conditions, the technical problem of low efficiency in heavy-haul railway route dispatching systems still exists. Summary of the Invention
[0004] Therefore, it is necessary to address the aforementioned technical problem of low efficiency in the current route scheduling system for heavy-haul railways by providing a method, device, computer equipment, computer-readable storage medium, and computer program product for intelligent route recommendation in response to the impact of construction on heavy-haul railways.
[0005] Firstly, this application provides an intelligent route recommendation method for the impact of heavy-haul railway construction, including:
[0006] In response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface.
[0007] In response to a query operation triggered based on the input target query parameters on the query parameter settings page, query results that are associated with the target query item and adapted to the target query parameters are displayed.
[0008] In response to an adjustment operation on the query results, a list of affected paths associated with the query results is displayed;
[0009] In response to a confirmation operation on the list of affected routes, a driving plan map including affected route markers and recommended route markers is displayed.
[0010] In one embodiment, in response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter settings page is displayed in the construction impact query interface, including:
[0011] In response to the query list on the construction impact query interface, a query initiation operation is triggered based on the selected target equipment name and construction time range for the target query item, and the query parameter setting page is displayed on the construction impact query interface.
[0012] In one embodiment, displaying the query parameter settings page in the construction impact query interface includes:
[0013] The construction impact query interface displays a query parameter setting page that includes filtering by impact range type, station range, and route priority.
[0014] In one embodiment, the step of responding to a query operation triggered based on input target query parameters on the query parameter settings page, and displaying query results associated with the target query item and adapted to the target query parameters, includes:
[0015] In response to a query operation triggered on the query parameter setting page based on the input target query parameters, a query request corresponding to the query operation is sent to the intelligent control server; the query request is used to instruct the server to match routes in the route table of the train route database, and to filter the matched routes to obtain query results that are associated with the target query item and adapted to the target query parameters.
[0016] Display the query results.
[0017] In one embodiment, the step of displaying a driving plan map including affected route markers and recommended route markers in response to a confirmation operation on the affected route list includes:
[0018] In response to the confirmation operation for the affected route list, a change route recommendation request is sent to the intelligent control server; the change route recommendation request is used to instruct the intelligent control server to determine the alternative path adapted to each affected route for each affected route in the affected route list, so as to obtain the recommended change route adapted to each affected route.
[0019] The system displays a driving plan map including affected route markers and recommended route markers; the affected route markers are determined based on the affected routes, and the recommended route markers are determined based on the recommended alternative routes.
[0020] In one embodiment, the method further includes:
[0021] The train schedule map, including the affected route markers and recommended route markers, is synchronized to the train monitoring terminal.
[0022] Secondly, this application also provides an intelligent route recommendation device for heavy-haul railway construction affecting routes, comprising:
[0023] The query parameter settings page display module is used to respond to the query initiation operation of the target query item in the query list of the construction impact query interface and display the query parameter settings page in the construction impact query interface.
[0024] The query results display module is used to respond to a query operation triggered based on the input target query parameters in the query parameter setting page, and to display query results that are associated with the target query item and adapted to the target query parameters.
[0025] The route list display module is used to display a list of affected routes associated with the query results in response to adjustment operations on the query results;
[0026] The driving plan display module is used to display a driving plan including affected route markers and recommended route markers in response to a confirmation operation on the affected route list.
[0027] Thirdly, this application also provides a computer device, the computer device including a memory and a processor, the memory storing a computer program, and the processor executing the computer program to perform the following steps:
[0028] In response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface.
[0029] In response to a query operation triggered based on the input target query parameters on the query parameter settings page, query results that are associated with the target query item and adapted to the target query parameters are displayed.
[0030] In response to an adjustment operation on the query results, a list of affected paths associated with the query results is displayed;
[0031] In response to a confirmation operation on the list of affected routes, a driving plan map including affected route markers and recommended route markers is displayed.
[0032] Fourthly, this application also provides a computer-readable storage medium having a computer program stored thereon, the computer program performing the following steps when executed by a processor:
[0033] In response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface.
[0034] In response to a query operation triggered based on the input target query parameters on the query parameter settings page, query results that are associated with the target query item and adapted to the target query parameters are displayed.
[0035] In response to an adjustment operation on the query results, a list of affected paths associated with the query results is displayed;
[0036] In response to a confirmation operation on the list of affected routes, a driving plan map including affected route markers and recommended route markers is displayed.
[0037] Fifthly, this application also provides a computer program product, which includes a computer program that, when executed by a processor, performs the following steps:
[0038] In response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface.
[0039] In response to a query operation triggered based on the input target query parameters on the query parameter settings page, query results that are associated with the target query item and adapted to the target query parameters are displayed.
[0040] In response to an adjustment operation on the query results, a list of affected paths associated with the query results is displayed;
[0041] In response to a confirmation operation on the list of affected routes, a driving plan map including affected route markers and recommended route markers is displayed.
[0042] The aforementioned intelligent route recommendation method, device, computer equipment, storage medium, and computer program product for the impact of heavy-haul railway construction, in the process of intelligent route recommendation for the impact of heavy-haul railway construction, first responds to the query initiation operation of the target query item in the query list of the construction impact query interface, and displays the query parameter setting page in the construction impact query interface; then responds to the query operation triggered by the input target query parameters in the query parameter setting page, and displays the query results associated with the target query item and adapted to the target query parameters; next, responds to the adjustment operation of the query results, and displays the list of affected routes associated with the query results; finally, responds to the confirmation operation of the list of affected routes, and displays the train schedule map including the affected route marker and the recommended route marker. In the above process, efficient and intelligent planning of train operation schedules under the influence of construction is achieved through layered interactive logic. The operation is guided step by step through the query list and parameter setting page, with a clear and standardized process, reducing the complexity of manual queries and improving business processing efficiency. By accurately matching and displaying the corresponding query results based on the target query parameters, the accurate retrieval and targeted output of construction impact information are achieved, ensuring the accuracy and relevance of information acquisition. Furthermore, it supports flexible adjustment of query results and generation of an affected route list, which facilitates quick verification and correction by staff and reduces human judgment errors. Finally, the confirmation operation synchronously marks the affected routes and recommended routes on the train operation schedule map, achieving a visual and intuitive display, providing an intuitive basis for scheduling decisions, and effectively improving the efficiency of the route scheduling system for heavy-haul railways. Attached Figure Description
[0043] To more clearly illustrate the technical solutions in the embodiments or related technologies of this application, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0044] Figure 1 This is a flowchart illustrating the intelligent route recommendation method for the impact of heavy-haul railway construction in one embodiment;
[0045] Figure 2 This is a flowchart illustrating the intelligent route recommendation steps that are affected by heavy-haul railway construction in one embodiment.
[0046] Figure 3 This is a flowchart illustrating the intelligent route recommendation method for the impact of heavy-haul railway construction in another embodiment;
[0047] Figure 4 This is a flowchart illustrating the intelligent route recommendation method for the impact of heavy-haul railway construction in another embodiment;
[0048] Figure 5 This is a schematic diagram of an intelligent route recommendation system for the impact of heavy-haul railway construction in one embodiment;
[0049] Figure 6 This is a structural block diagram of an intelligent route recommendation device for heavy-haul railway construction impact in one embodiment;
[0050] Figure 7 This is an internal structural diagram of a computer device in one embodiment. Detailed Implementation
[0051] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.
[0052] With the increasing density of heavy-haul railway transportation, the temporary shutdown of equipment such as turnouts and turnoutless sections during construction has a more significant impact on train operation routes. In the traditional dispatching method, dispatchers rely on manual analysis of the impact range of equipment, identification of affected routes, and planning of alternative solutions. This is not only labor-intensive, but also prone to problems such as omissions in the assessment of the impact range and untimely recommendations for route changes due to human factors, which affect transportation efficiency and safety.
[0053] Currently, while heavy-haul railway dispatching systems have achieved centralized monitoring of train operation status, they still have shortcomings in the automated analysis and intelligent recommendation of routes affected by construction. They lack batch processing mechanisms for multiple trains and shunting operations, and their visualization management capabilities for route status are limited, making it difficult to meet the dispatching needs of high-load transportation scenarios. Analysis of the impact range of construction equipment relies on manual labor, resulting in low automation and potential omissions. The identification of affected trains and shunting routes lacks an efficient batch processing mechanism. The correlation between route change recommendations and actual train operation status is insufficient, and accuracy needs improvement. The visualization of route status is not intuitive, hindering dispatchers' rapid decision-making. The full-process tracking and management capabilities for route adjustments during construction are limited. Therefore, the low efficiency of heavy-haul railway route dispatching systems has become a problem that needs to be addressed.
[0054] To address the aforementioned technical problems, in an exemplary embodiment, such as Figure 1 As shown, a method for intelligently recommending routes affected by heavy-haul railway construction is provided. Taking the application of this method to a terminal as an example, the method includes the following steps S102 to S106. Wherein:
[0055] Step S102: In response to the query initiation operation of the target query item in the query list of the construction impact query interface, the query parameter setting page is displayed in the construction impact query interface.
[0056] The construction impact query interface is an interactive page specifically designed for railway traffic construction impact analysis. It can be used to centrally complete a series of operations such as construction impact query, parameter configuration, and result viewing. The query list is a collection of projects to be analyzed for construction impact, which can include construction plans or train operation-related projects that need to be verified or processed. The target query project is a single construction plan or train operation task selected by the user from the query list that requires specific analysis of its construction impact. The query initiation operation is the user's query start command triggered by the target query project, such as clicking, selecting, or confirming. The query parameter setting page is a page for inputting and editing query conditions.
[0057] Step S104: In response to the query operation triggered by the input target query parameters in the query parameter settings page, display the query results that are related to the target query item and adapted to the target query parameters.
[0058] Among them, the target query parameters are key query conditions that users define and input, such as construction time period, affected section, train type, route range, etc.; the query operation is a retrieval command triggered by the user after completing the parameter input. The system can perform matching calculations based on the parameters and generate corresponding results; the query results are preliminary conclusions on the construction impact calculated by the system based on the target project and query parameters, which may include basic data such as the affected area and conflict information.
[0059] Step S106: In response to the adjustment operation for the query results, display a list of affected paths associated with the query results.
[0060] The adjustment operation involves users optimizing the initial query results by filtering, modifying, or deleting them; the affected route list is a set of routes that are unusable or have security conflicts due to construction, generated after the adjustment.
[0061] Step S108: In response to the confirmation operation for the list of affected routes, a driving plan map including the affected route markers and recommended route markers is displayed.
[0062] Among them, the confirmation operation is a confirmation command triggered by the user after verifying that the list of affected routes is correct; the affected route mark is a prominent mark on the train operation plan map for routes occupied by construction or in conflict, used to visually indicate risk sections; the recommended route mark is an alternative route and optimized train route automatically planned and marked by the system; the train operation plan map is a professional chart that graphically displays the train operation path, timing, and route usage.
[0063] In the aforementioned intelligent route recommendation method for the impact of heavy-haul railway construction, the process first responds to the query initiation operation of the target query item in the query list of the construction impact query interface, and displays the query parameter setting page in the construction impact query interface; then, responds to the query operation triggered by the input target query parameters in the query parameter setting page, and displays the query results associated with the target query item and adapted to the target query parameters; next, responds to the adjustment operation of the query results, and displays the list of affected routes associated with the query results; finally, responds to the confirmation operation of the list of affected routes, and displays the train schedule map including the affected route marker and the recommended route marker. In the above process, efficient and intelligent planning of train operation schedules under the influence of construction is achieved through layered interactive logic. The operation is guided step by step through the query list and parameter setting page, with a clear and standardized process, reducing the complexity of manual queries and improving business processing efficiency. By accurately matching and displaying the corresponding query results based on the target query parameters, the accurate retrieval and targeted output of construction impact information are achieved, ensuring the accuracy and relevance of information acquisition. Furthermore, it supports flexible adjustment of query results and generation of an affected route list, which facilitates quick verification and correction by staff and reduces human judgment errors. Finally, the confirmation operation synchronously marks the affected routes and recommended routes on the train operation schedule map, achieving a visual and intuitive display, providing an intuitive basis for scheduling decisions, and effectively improving the efficiency of the route scheduling system for heavy-haul railways.
[0064] In an exemplary embodiment, in response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface, including: in response to a query initiation operation for a target query item triggered based on the selected target equipment name and construction time range in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface.
[0065] Among them, the target equipment name is the specific equipment identifier that the user selects during the construction impact query process, such as the names of railway or rail transit related equipment like signal lights, turnouts, track sections, and overhead contact line equipment. It can be used to identify the specific equipment objects involved in the construction. The construction time range is the interval parameter set by the user from the start time to the end time of construction. It is used to define the duration of the construction operation. The system can filter the train operation plan within the corresponding time period based on the construction time range to determine the impact of construction on train routes and train operation within the construction time range.
[0066] In this embodiment, by directly selecting the target equipment name and construction time range in the construction impact query interface, the manual screening and input steps can be reduced, improving the efficiency of query initiation. By entering the parameter setting page based on the time parameter, the query conditions can be further refined, reducing the complexity of operation and the probability of misoperation, making the entire query process more standardized and efficient, and providing strong support for subsequent traffic plan adjustments and safety scheduling.
[0067] In one embodiment, displaying a query parameter settings page in the construction impact query interface includes: displaying a query parameter settings page that includes filtering by impact range type, station range, and route priority.
[0068] Among them, the impact range type is a classification condition used to divide the construction impact area, which can be set according to different dimensions such as equipment, section, and the entire station; the station range is the station and related area involved in the construction impact selected by the user, which is used to limit the geographical and jurisdictional boundaries of the query to avoid the range being too large or too small; the route priority filter is a filter condition set according to train operation level, route importance, etc., which can prioritize the passage of core routes and key trains, and improve the rationality of scheduling.
[0069] In this embodiment, by integrating conditions such as impact range type, station range, and route priority filtering into the query parameter setting page, the query of construction impact becomes more targeted and refined; through multi-dimensional parameter combination configuration, invalid data interference can be avoided, and the reliability of the results can be improved; at the same time, priority filtering can prioritize the passage of key routes, thereby improving the efficiency of traffic organization during construction.
[0070] In one embodiment, such as Figure 2 As shown, in response to a query operation triggered based on the input target query parameters on the query parameter settings page, query results related to the target query item and adapted to the target query parameters are displayed, including:
[0071] Step S202: In response to the query operation triggered by the input target query parameters on the query parameter setting page, a query request corresponding to the query operation is sent to the intelligent control server; the query request is used to instruct the server to match routes with the route table in the train route database, and to filter the matched routes to obtain query results that are related to the target query item and adapted to the target query parameters; Step S204: Display the query results.
[0072] Among them, the intelligent control server is the core server-side equipment responsible for construction impact query calculation, data processing and logical judgment; the query request is the instruction data generated by the terminal based on the target query parameters and sent to the server; the train route database is a database that stores basic data such as train route information, station data, and route association relationships; the route table is a structured data table in the database that records information such as route number, route path, associated equipment, and applicable conditions.
[0073] In this embodiment, a query request is sent to the intelligent control server via the terminal, and automatic matching and filtering are performed based on the train route database and route table. This not only improves the efficiency of query processing but also avoids errors caused by manual verification. Through accurate matching based on the route table, query results that match the target project and query parameters can be quickly output, making data processing more efficient and the results more accurate, providing solid data support for subsequent analysis of affected routes and adjustment of train scheduling.
[0074] Furthermore, in one embodiment, such as Figure 3 As shown, in response to a confirmation action on the list of affected routes, a driving plan map is displayed, including affected route markers and recommended route markers, including:
[0075] Step S302: In response to the confirmation operation for the affected route list, a change route recommendation request is sent to the intelligent control server; the change route recommendation request is used to instruct the intelligent control server to determine the alternative path adapted to each affected route for each affected route in the affected route list, so as to obtain the recommended change route adapted to each affected route; Step S304: Display a driving plan map including affected route markers and recommended route markers; the affected route markers are determined based on the affected routes, and the recommended route markers are determined based on the recommended change routes.
[0076] Among them, the route change recommendation request is a business request initiated by the terminal to the server after confirming the affected route to apply for an alternative route, which is the core instruction that triggers intelligent recommendation; the alternative route is a backup route planned by the system that allows trains to pass safely when the original route is affected by construction and cannot be used, ensuring continuous train operation; the recommended route change is a compliant and feasible route scheme that can replace the affected route, which is intelligently calculated and optimized by the server based on the line conditions and train operation constraints.
[0077] In this embodiment, by sending a route change recommendation request to the server, the system automatically matches a suitable alternative path for each affected route, improving route adjustment efficiency and reducing the time and errors of manual planning. By synchronously marking affected routes and recommended routes on the traffic planning map, a visual and intuitive display is achieved, making it easier for dispatchers to quickly identify conflict sections and optimization solutions, effectively improving traffic organization efficiency during construction.
[0078] In one exemplary embodiment, the intelligent route recommendation method for the impact of heavy-haul railway construction further includes synchronizing a train schedule map including affected route markers and recommended route markers to a train monitoring terminal.
[0079] Synchronization involves transmitting the marked train operation plan data from the dispatching system to the corresponding terminal equipment in real time and consistently, ensuring information consistency across multiple terminals. The train monitoring terminal is a display terminal deployed in the dispatching center, station, or on the train to monitor the train operation plan, route status, and construction impact in real time. It is an important piece of equipment for on-site execution and monitoring.
[0080] In this embodiment, by synchronizing the train schedule map with route markings to the train monitoring terminal, real-time consistency of information between the dispatching end and the field end can be achieved, avoiding information transmission delays or deviations. The synchronized display method is clear and intuitive, facilitating rapid on-site response and handling, reducing communication costs and the risk of misoperation, ensuring unified command of train dispatching during construction, and providing reliable information support for safe train operation and orderly adjustments.
[0081] This application provides an intelligent route recommendation method for the impact of heavy-haul railway construction. To better understand the process of the above-mentioned intelligent route recommendation method for the impact of heavy-haul railway construction, combined with... Figure 4 As shown below, the specific process of the intelligent route recommendation method for the impact of heavy-haul railway construction in this application is described in detail, including the following steps:
[0082] Step S402: The dispatcher logs into the train schedule terminal and enters the construction impact query interface to perform operations.
[0083] The dispatcher inputs the name of the target equipment, such as turnouts, turnout-free sections within the station, and the construction time range according to the construction plan; the system provides an equipment name search function and a quick selection template for the time range to reduce repetitive input; after the input is completed, the information is temporarily stored in the query list.
[0084] In step S404, the dispatcher confirms the target device and time range information in the query list.
[0085] When the dispatcher clicks the "Initiate Impact Query" button, the system displays an impact range query parameter settings interface. In this interface, the dispatcher can select the impact range type (train route, shunting route, or all), the affected station range (all stations or specific areas), and route priority filtering (prioritizing routes for heavy-load trains), among other conditions. After setting these parameters, the system automatically sends an impact range query request to the intelligent control server. Upon receiving the request, the intelligent control server, in conjunction with the route table in the train route database, automatically matches all routes containing the target equipment.
[0086] Step S406: The intelligent control server filters the matched routes.
[0087] The intelligent control server retains the train routes and shunting routes affected within the construction time frame and associates them with the corresponding train numbers and shunting operation plans. Dispatchers can view the preliminary screening results on the train schedule terminal, manually check or fine-tune the affected routes, and exclude canceled operation routes. After the dispatcher confirms the list of affected routes, the system sends a route change recommendation request to the intelligent control server. For each affected train route, the intelligent control server calculates a safe and available alternative path and prioritizes it according to safety and efficiency.
[0088] In step S408, the intelligent control server summarizes the affected route information (including train number, time, and track) and recommended route changes and feeds it back to the train schedule terminal.
[0089] The system uses specific graphic symbols to mark affected routes and recommended routes on the electronic train operation plan, and different colors are used to distinguish changed routes of different priorities. The system stores the final scope of impact and changed route information in the train route database and updates it synchronously to the train / shunting monitoring terminal to ensure that operators can obtain the latest route adjustment suggestions in real time.
[0090] In practical applications, the system also supports operations such as modifying and unbinding bound commands to ensure flexible adjustment of binding information. To improve operational efficiency, the system provides batch binding and a graphical operation interface, making the binding process more intuitive and efficient.
[0091] More often, in one embodiment, such as Figure 5 As shown, a heavy-haul railway dispatching and command system is proposed, which includes a train schedule map, an intelligent control server, a train route database, a wireless communication network, and a train / shunting monitoring terminal. The components achieve real-time data interaction through a secure network.
[0092] The system includes: a train operation plan diagram (providing an equipment information input interface, supporting the initiation of impact range query requests and the visualization of results, and providing a human-computer interaction interface for dispatchers); an intelligent control server (receiving query requests, calculating the equipment impact range based on train route data, identifying affected routes, and recommending route changes, serving as the core processing unit); a train route database (storing basic data such as route tables, providing data support for impact range calculation); and a train / shunting monitoring terminal (providing real-time feedback on train and shunting operation status, assisting the intelligent control server in accurately determining the impact range).
[0093] In addition, it includes two core modules: equipment impact range analysis and alternative route recommendation. The equipment impact range analysis module automatically calculates the impact range of construction equipment on trains and shunting routes. The alternative route recommendation module generates safe and usable alternative routes for affected trains and visualizes them through a train schedule diagram. This method is highly automated, provides accurate recommendations, and enables real-time management of route status, improving scheduling efficiency and safety during construction.
[0094] It should be understood that although the steps in the flowcharts of the embodiments described above are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the embodiments described above may include multiple steps or multiple stages. These steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the steps or stages of other steps.
[0095] Based on the same inventive concept, this application also provides an intelligent route recommendation device for implementing the intelligent route recommendation method for heavy-haul railway construction impacts as described above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more embodiments of the intelligent route recommendation device for heavy-haul railway construction impacts provided below can be found in the limitations of the intelligent route recommendation method for heavy-haul railway construction impacts described above, and will not be repeated here.
[0096] In one exemplary embodiment, such as Figure 6 As shown, a smart route recommendation device for heavy-haul railway construction impacts is provided, comprising: a query parameter setting page display module 601, a query result display module 602, a route list display module 603, and a train operation plan display module 604, wherein:
[0097] The query parameter setting page display module 601 is used to respond to the query initiation operation of the target query project in the query list of the construction impact query interface and display the query parameter setting page in the construction impact query interface.
[0098] The query results display module 602 is used to respond to the query operation triggered by the target query parameters input in the query parameter settings page, and to display the query results that are related to the target query items and adapted to the target query parameters.
[0099] The route list display module 603 is used to display a list of affected routes associated with the query results in response to adjustment operations on the query results.
[0100] The driving plan display module 604 is used to display a driving plan including affected route markers and recommended route markers in response to a confirmation operation on the affected route list.
[0101] Furthermore, in one embodiment, the query parameter setting page display module 601 is also used to display the query parameter setting page in the construction impact query interface in response to a query initiation operation triggered by the selected target equipment name and construction time range in the query list of the construction impact query interface.
[0102] Furthermore, in one embodiment, the query parameter setting page display module 601 is also used to display a query parameter setting page, including the type of impact range, station range, and route priority filtering, in the construction impact query interface.
[0103] Furthermore, in one embodiment, the query result display module 602 is also used to send a query request corresponding to the query operation to the intelligent control server in response to a query operation triggered based on the input target query parameters in the query parameter setting page; the query request is used to instruct the server to match routes in combination with the route table in the train route database, and to filter the matched routes to obtain query results that are associated with the target query item and adapted to the target query parameters; and to display the query results.
[0104] Furthermore, in one embodiment, the driving plan display module 604 is also configured to send a change route recommendation request to the intelligent control server in response to a confirmation operation on the affected route list; the change route recommendation request is used to instruct the intelligent control server to determine an alternative path adapted to each affected route in the affected route list, so as to obtain a recommended change route adapted to each affected route; and to display a driving plan including affected route markers and recommended route markers; the affected route markers are determined based on the affected routes, and the recommended route markers are determined based on the recommended change routes.
[0105] The modules in the aforementioned intelligent route recommendation device for heavy-haul railway construction impacts can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.
[0106] In one exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 7 As shown, the computer device includes a processor, memory, input / output (I / O) interfaces, and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is also connected to the system bus via the I / O interfaces. The processor provides computational and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and a database. The internal memory provides the environment for the operating system and computer programs stored in the non-volatile storage media. The database stores intelligent route recommendation data affecting heavy-haul railway construction. The I / O interfaces are used for information exchange between the processor and external devices. The communication interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements an intelligent route recommendation method for the impact of heavy-haul railway construction.
[0107] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the computer device to which the present application is applied. Specific computer devices may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.
[0108] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps in the above-described method embodiments.
[0109] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps in the above method embodiments.
[0110] In one embodiment, a computer program product is provided, including a computer program that, when executed by a processor, implements the steps in the above method embodiments.
[0111] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.
[0112] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments described above. Any references to memory, databases, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM). The databases involved in the embodiments provided in this application may include at least one type of relational database and non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the embodiments provided in this application may be general-purpose processors, central processing units, graphics processing units, digital signal processors, programmable logic devices, quantum computing-based data processing logic devices, etc., and are not limited to these.
[0113] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.
[0114] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of this patent application. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.
Claims
1. A method for intelligently recommending routes affected by heavy-haul railway construction, characterized in that, The method includes: In response to a query initiation operation for a target query item in the query list of the construction impact query interface, a query parameter setting page is displayed in the construction impact query interface. In response to a query operation triggered based on the input target query parameters on the query parameter settings page, query results that are associated with the target query item and adapted to the target query parameters are displayed. In response to an adjustment operation on the query results, a list of affected paths associated with the query results is displayed; In response to a confirmation operation on the list of affected routes, a driving plan map including affected route markers and recommended route markers is displayed.
2. The method according to claim 1, characterized in that, In response to the query initiation operation of the target query item in the query list of the construction impact query interface, the query parameter settings page is displayed in the construction impact query interface, including: In response to the query list on the construction impact query interface, a query initiation operation is triggered based on the selected target equipment name and construction time range for the target query item, and the query parameter setting page is displayed on the construction impact query interface.
3. The method according to claim 1, characterized in that, The process of displaying the query parameter settings page in the construction impact query interface includes: The construction impact query interface displays a query parameter setting page that includes filtering by impact range type, station range, and route priority.
4. The method according to claim 1, characterized in that, The response to a query operation triggered based on the input target query parameters on the query parameter settings page, displaying query results associated with the target query item and adapted to the target query parameters, includes: In response to a query operation triggered on the query parameter setting page based on the input target query parameters, a query request corresponding to the query operation is sent to the intelligent control server; the query request is used to instruct the server to match routes in the route table of the train route database, and to filter the matched routes to obtain query results that are associated with the target query item and adapted to the target query parameters. Display the query results.
5. The method according to claim 1, characterized in that, In response to a confirmation operation on the list of affected routes, a driving plan map including affected route markers and recommended route markers is displayed, including: In response to the confirmation operation for the affected route list, a change route recommendation request is sent to the intelligent control server; the change route recommendation request is used to instruct the intelligent control server to determine the alternative path adapted to each affected route for each affected route in the affected route list, so as to obtain the recommended change route adapted to each affected route. The system displays a driving plan map including affected route markers and recommended route markers; the affected route markers are determined based on the affected routes, and the recommended route markers are determined based on the recommended alternative routes.
6. The method according to claim 5, characterized in that, The method further includes: The train schedule map, including the affected route markers and recommended route markers, is synchronized to the train monitoring terminal.
7. A smart route recommendation device for heavy-haul railway construction affecting routes, characterized in that, The device includes: The query parameter settings page display module is used to respond to the query initiation operation of the target query item in the query list of the construction impact query interface and display the query parameter settings page in the construction impact query interface. The query results display module is used to respond to a query operation triggered based on the input target query parameters in the query parameter setting page, and to display query results that are associated with the target query item and adapted to the target query parameters. The route list display module is used to display a list of affected routes associated with the query results in response to adjustment operations on the query results; The driving plan display module is used to display a driving plan including affected route markers and recommended route markers in response to a confirmation operation on the affected route list.
8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method according to any one of claims 1 to 6.
9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.
10. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method according to any one of claims 1 to 6.