Digital-based railway construction method and system

Abstract

The application discloses a digital-based railway construction method, comprising the following steps: S1, laying related equipment in a construction section and an adjacent operating line section; S2, establishing a digital twin model; S3, calculating a safe operation time window available for a construction vehicle; S4, when it is predicted that a crossing occurs in the future safe operation time window, prohibiting the construction vehicle from entering the interval, and assigning an optimal conflict-free travel path to the construction vehicle; S5, monitoring the construction vehicle in real time, and instructing other construction vehicles to adjust a task sequence according to a real-time state; S6, the construction vehicle executes a task and returns position and progress information, and the digital twin system executes S3-S5 again according to data. The application dynamically calculates a safe operation time window and quantitatively predicts a track by constructing a real-time-prediction-scheduling-feedback data closed loop, realizes spatial and temporal double collision detection, and simultaneously rearranges a shortest path and a task priority.

Description

Technical Field

[0001] This invention relates to the technical field of railway construction, and in particular to a digitally based railway construction method and system. Background Technology

[0002] In traditional railway line construction, construction vehicles need to operate and pass other trains on the same track section, often relying on manual scheduling or static work plans to determine construction periods and routes. With the development of high-speed railways and densely populated lines, the shortcomings of traditional methods in terms of safety, timeliness, and resource utilization have become increasingly apparent: static window allocation and manual monitoring cannot accurately respond to changes in the dynamic position of trains, and the actual entry and exit times and occupied section lengths of construction vehicles lack real-time verification, easily causing time or space conflicts such as "the preceding train has not finished" and "the following train arrives suddenly"; fixed time slot allocation ignores the differences in the working time of different construction projects and fails to prioritize the scheduling of delayed vehicles or short tasks, resulting in large tasks often occupying the entire window while small tasks are idle and waiting, wasting available construction time; when multiple types of construction vehicles (such as ballast cars, sleeper replacement cars, and flaw detection cars) operate in parallel in the same section, the lack of a unified digital platform and automated path planning mechanism requires a lot of manual intervention in scheduling, making it difficult to avoid mutual interference between vehicles in a timely manner. Summary of the Invention

[0003] The purpose of this section is to outline some aspects of embodiments of the present invention and to briefly describe some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of this application, to avoid obscuring the purpose of these documents; however, such simplifications or omissions should not be construed as limiting the scope of the invention.

[0004] To solve the above-mentioned technical problems, the present invention provides the following technical solution:

[0005] In a first aspect, the present invention provides a digitally based railway construction method, comprising:

[0006] S1. Deploy relevant equipment in the construction section and adjacent operating line sections to obtain the three-dimensional position, speed and identity information of construction vehicles in real time, and obtain relevant data of operating trains from the railway dispatch center and perform preprocessing.

[0007] S2. Establish a digital twin model to map the real-time status of each construction vehicle and the data of the operating trains into the digital twin model in real time, so as to achieve a one-to-one correspondence between the virtual environment and the physical environment.

[0008] S3. Based on the arrival and departure times of commercial trains in the construction area, calculate the safe operating time window available for construction vehicles;

[0009] S4. In the digital twin model, predict the intersection of the construction vehicle and the operational train tracks in real time. When the intersection is predicted to occur within the future safe operation time window, prohibit the construction vehicle from entering the section and assign the construction vehicle the optimal travel path without conflict.

[0010] S5. Real-time monitoring of construction vehicles. When a vehicle's operation is delayed, the system instructs other construction vehicles to adjust their task order based on the real-time status, thereby reducing the overall waiting time.

[0011] S6. The construction vehicle performs the task and transmits its location and progress information back. The digital twin system then executes S3-S5 again based on the data.

[0012] As a preferred embodiment of the digital-based railway construction method of the present invention, the safe operation time window in S3 is calculated by finding the minimum value among all train intervals through the time difference between two operating trains entering and leaving the same section, and deducting the safety buffer time, thus obtaining the available safe operation time window.

[0013] As a preferred embodiment of the digital-based railway construction method of the present invention, the method for real-time prediction of the intersection point of construction vehicles and operational train tracks is as follows:

[0014] S4.1 Data Acquisition: Acquire the current location, speed, and direction of travel of each construction vehicle and report them at a certain frequency; obtain train operation diagrams and real-time positioning from the railway center to obtain train location, speed, and estimated arrival and departure times, and preprocess all input data to form a unified spatiotemporal dataset;

[0015] S4.2. Based on the current speed and historical data, predict the trajectories of construction vehicles and commercial trains in the future, and make spatial collision and temporal conflict judgments. If either judgment is valid, the construction vehicle is not allowed to enter the construction area within the current time window.

[0016] As a preferred embodiment of the digital-based railway construction method of the present invention, the specific method for predicting the trajectories of construction vehicles and commercial trains is as follows:

[0017] S4.2.a1. Collect velocity measurements at two consecutive moments using a sensor, obtain the current position, and calculate the current acceleration vector based on the difference between the two velocities;

[0018] S4.2.a2, perform position estimation based on acceleration and position information for any predicted time.

[0019] S4.2.a3. Collect speed information at a certain frequency and repeat the above "prediction" process.

[0020] As a preferred embodiment of the digital-based railway construction method of the present invention, the specific method for spatial collision determination in S4.2 is as follows:

[0021] S4.2.b1, Take the time from the current moment to the end of the safe operation window;

[0022] S4.2.b2, Set the step size, represent the continuous movement of construction vehicles and commercial trains from the current time to the end of the safe operation window with a series of discrete time points, predict the unknown future of both, and generate two point sequences;

[0023] S4.2.b3, Set a "safe distance threshold";

[0024] S4.2.b4, for each time step Calculate the Euclidean distance between two points. If there exists any time step where the distance between the two points is less than the safe distance threshold, then determine "spatial collision risk" and prohibit the vehicle from entering and continuing operations.

[0025] As a preferred embodiment of the digital-based railway construction method of the present invention, the time conflict judgment method in section 4.2 is as follows:

[0026] S4.2.c1, Determine key time points:

[0027] Time of construction vehicles entering the section; Time of construction vehicles leaving the section; Time of arrival of commercial trains; Time of departure of commercial trains;

[0028] S4.2.c2, Conflict Detection:

[0029] Risk of overlapping trains ahead: Construction vehicles enter the construction area too early, causing the interval between their entry time and the departure time of the previous train to be less than the safe buffer time.

[0030] Risk of overlapping trains: Construction vehicles leave the construction area too late, causing the interval between the departure time of the construction vehicle and the arrival time of the next train to be less than the safe buffer time.

[0031] S4.2.c3 If any of the above conditions are met, it is determined that there is a risk of time conflict, and the construction vehicle is prohibited from entering and continuing to work within this time window; otherwise, it is considered that the vehicle is "time safe" and is allowed to enter and exit as planned.

[0032] S4.2.c4. As the train schedule and construction vehicle progress are updated in real time, the above-mentioned key moments will be dynamically recalculated, that is, time conflict judgment will be re-performed.

[0033] As a preferred embodiment of the digital-based railway construction method of the present invention, the method for allocating the optimal travel path is as follows:

[0034] S4.3.1 Abstract all key operation points, turnouts, construction section entrances and exits, and avoidance zones in the digital twin model into a set of nodes in a graph. For each vehicle on the road, insert an "occupancy node" at the start and end of the section it occupies for subsequent avoidance judgment.

[0035] S4.3.2, corresponding to the physical channel between two nodes, is abstracted as a set of weighted edges;

[0036] Each edge connects two nodes and has the following attributes:

[0037] Time cost: Based on the point sequence generated in the above spatial collision judgment, the estimated arrival time of the two points is obtained, and the estimated passage time is calculated;

[0038] Occupancy Status: If the physical lane is occupied by other vehicles within the planned time window, a large penalty will be applied.

[0039] Train priority impact: When the edge is in the same direction as the next train, an additional small penalty value is added to encourage vehicles to avoid the passage that is traveling in the same direction as the train.

[0040] The comprehensive weight of each edge is defined by considering the time cost, occupancy status, and train priority, and the shortest path is found based on the weight.

[0041] Before applying the shortest path algorithm, the above paths are filtered for feasibility:

[0042] Only retain edges that are reachable within the predicted safe operating time window;

[0043] Edges that are predicted to pose a collision risk with vehicle trajectories already in operation within the zone are directly removed from the graph.

[0044] Ensure that there is a feasible path from each work point to the nearest avoidance zone.

[0045] As a preferred embodiment of the digital-based railway construction method of the present invention, the method for adjusting the task sequence of construction vehicles is as follows: the priority is calculated by the ratio of the remaining working time required by the current state of the vehicle to the remaining available time of the current safe operation window.

[0046] Secondly, the present invention also provides a digitally based railway construction system, comprising:

[0047] Data acquisition module: used to collect real-time location, speed, direction and identity information of construction vehicles, and to obtain the timetable of operating trains and the location data of trains in the section from the railway dispatch center;

[0048] Digital Twin Building Module: Used to generate digital twin models of construction areas based on 3D GIS and BIM modeling, and to realize real-time mapping of vehicle data and train data;

[0049] Time window calculation module: used to calculate safe operation time windows based on the arrival and departure times of commercial trains;

[0050] Conflict detection module: used to predict the intersection of construction vehicle and commercial train tracks and determine whether there is a conflict within the safe operation time window;

[0051] Scheduling module: Used by the shortest path algorithm to allocate conflict-free travel paths for construction vehicles and adjust the task order when vehicles are delayed;

[0052] Closed-loop control module: Used to feed back the work progress and location data transmitted by the construction vehicles to the digital twin system in real time, and to perform time window calculation, conflict detection and scheduling in a loop.

[0053] Thirdly, embodiments of the present invention provide a computer device, including a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, implements any step of the digital-based railway construction method as described in the first aspect of the present invention.

[0054] The beneficial effects of this invention are:

[0055] This invention constructs a data closed loop of "real-time—prediction—scheduling—feedback," mapping the operation of commercial trains and the status of construction vehicles onto a digital twin platform. It dynamically calculates safe operation time windows and quantitatively predicts trajectories, achieving dual spatial and temporal collision detection. Simultaneously, it reorders the shortest path and task priorities, assigning optimal, conflict-free travel and operation sequences to each construction vehicle. This provides an innovative, implementable, and easily integrated digital solution for railway line construction. Attached Figure Description

[0056] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments 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. Wherein:

[0057] Figure 1 This is a flowchart of the digital-based railway construction method proposed in this invention;

[0058] Figure 2 This is a flowchart illustrating the digital-based railway construction method proposed in this invention.

[0059] Figure 3 for Figure 2 A flowchart illustrating the process of collision detection in mid-space.

[0060] Figure 4 for Figure 2 A flowchart illustrating the process of determining time conflicts in China;

[0061] Figure 5 This is a system architecture diagram of the digital-based railway construction system proposed in this invention. Detailed Implementation

[0062] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0063] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0064] Reference Figure 1-5 This invention provides a digitally based railway construction method, comprising:

[0065] S1. Deploy relevant equipment (including 5G base stations, millimeter-wave radar, GNSS positioning modules and RFID tags) in the construction section and adjacent operating sections to obtain the three-dimensional position, speed and identity information of construction vehicles in real time, and obtain relevant data of operating trains (including timetables and train location data in the section) from the railway dispatch center and perform preprocessing.

[0066] S2. Establish a digital twin model (the digital twin model is generated based on a 3D GIS geographic information system and BIM modeling technology), and map the real-time status of each construction vehicle (including real-time location, speed, and operation status) and the data of the operating trains to the digital twin model in real time to achieve a one-to-one correspondence between the virtual environment and the physical environment.

[0067] S3. Based on the arrival and departure times of commercial trains in the construction area, calculate the safe operating time window available for construction vehicles;

[0068] The calculation of the safe operation time window in S3 is based on the time difference between two operating trains entering and leaving the same section (this time difference is the potential operation window that construction can utilize), finding the minimum value among all train intervals, and subtracting the safety buffer time to obtain the available safe operation time window. Its specific expression is as follows: ,in For safe operating time windows, The time for the next operational train to arrive at the current construction section. The time when the previous operating train left the current construction area. To allow for a safe buffer period, factors such as braking distance, communication delay, human response, and weather effects must be considered.

[0069] Example as follows:

[0070] Construction is underway on an operational railway section. Trains run on this section during the day. The dispatching system obtains the following schedules for adjacent trains within this section from the railway dispatching center:

[0071]

[0072] Safety buffer time =3 minutes;

[0073] Calculate train intervals:

[0074] The interval between train A and train B: 37200s - 36420s = 780s = 13min;

[0075] The interval between train B and train C: 38280s - 37320s = 960s = 16min;

[0076] Minimum interval: min(13,16) = 13min;

[0077] Deducting safety buffer time: =13-3=10min;

[0078] Calculate the safe working time window =10min indicates that within the interval between the departure of train A and the arrival of train B, the construction vehicle can only operate for a maximum of 10 minutes. The system will issue this time window to the construction dispatcher to ensure that the allocation of construction tasks does not exceed the safe time. At the same time, the construction vehicle must be evacuated to the safe avoidance zone before the 10-minute period expires.

[0079] S4. In the digital twin model, predict the intersection of the construction vehicle and the operational train tracks in real time. When the intersection is predicted to occur within the future safe operation time window, prohibit the construction vehicle from entering the section and assign the construction vehicle the optimal travel path without conflict.

[0080] The specific method for real-time prediction of the intersection point of construction vehicle and commercial train trajectories is as follows:

[0081] S4.1 Data Acquisition: Acquire the current location, speed, and direction of travel of each construction vehicle and report them at a certain frequency; obtain train operation diagrams and real-time positioning from the railway center to obtain train location, speed, and estimated arrival and departure times, and preprocess all input data to form a unified spatiotemporal dataset;

[0082] S4.2. Based on the current speed and historical data, predict the trajectories of construction vehicles and commercial trains in the future, and make spatial collision judgments and time conflict judgments. If either judgment is valid, the construction vehicle is not allowed to enter the construction area within the current time window.

[0083] The specific methods for predicting the trajectories of construction vehicles and commercial trains are as follows:

[0084] S4.2.a1, Collect velocity measurements at two consecutive moments using a sensor. and as well as and and obtain the current position. Calculate the current acceleration vector based on the difference between the two velocities. and This acceleration is considered to remain constant in the near future;

[0085] S4.2.a2, for any prediction time ( Position estimation is performed based on acceleration and position information, using the following formula:

[0086] ;

[0087] S4.2.a3. Collect speed information at a certain frequency and repeat the above "prediction" process, continuously updating the data and its predicted position to ensure its real-time performance.

[0088] Example as follows: Suppose a ballast leveling vehicle performs the following sensor data within a single work window: using intervals ,time time: ; , , ; , ;

[0089] Calculate acceleration components ; ;

[0090] If safe working time window =10s, take s makes a prediction:

[0091] ;

[0092] That is, the estimated position of the vehicle after 5 seconds is (1018.5, 1996.75).

[0093] The specific method for determining spatial collisions in S4.2 is as follows:

[0094] S4.2.b1, Take from the current time End of the safe operation window ;

[0095] S4.2.b2, Set step size The continuous movement of construction vehicles and commercial trains from the current moment to the end of the safe operation window is represented by a series of discrete time points. ，k For points, , Predicting the unknown future of both, two point sequences are generated: and ;

[0096] S4.2.b3, Set a "safe distance threshold" , ,in The outer radius of the construction vehicle. The outer radius of the operating train. The safety buffer distance ensures that even if the vehicle and the train approach each other and the outer contours become tangent, there is still a certain margin for braking response.

[0097] S4.2.b4, for each time step Calculate the Euclidean distance between two points:

[0098] If there exists any time step This ensures that the distance between two points is less than the safe distance threshold, i.e. If the vehicle is deemed to pose a "space collision risk," it will be prohibited from entering and continuing operations.

[0099] The specific method for determining time conflicts in section 4.2 is as follows:

[0100] S4.2.c1, Determine key time points:

[0101] Construction vehicle entry time The estimated time when construction vehicles enter the construction zone can be obtained using the aforementioned construction vehicle trajectory prediction method; the time when construction vehicles leave the zone. This refers to the estimated time when the construction vehicle completes its work in this section and leaves the end track position of the section. , The estimated duration of operation for construction vehicles; arrival time of commercial trains. This refers to the time when the next operating train enters the starting track position of this section; the departure time of the operating train. This refers to the moment when the previous operating train departed from the end track position of this section;

[0102] S4.2.c2, Conflict Detection:

[0103] Risk of overlapping vehicles ahead: Construction vehicles entering the construction zone too early, causing their entry time to be too long. departure time of the previous train The interval between them is less than the safety buffer time. ,Right now This indicates that the construction vehicle may have entered the section before the preceding vehicle had completely left, posing a safety hazard.

[0104] Risk of overlapping vehicles: Construction vehicles leaving the construction zone too late, resulting in excessive time for vehicles to leave the zone. Arrival time of the next train The interval between them is less than the safety buffer time. ,Right now This indicates that the construction vehicle may not have been fully inside the vehicle before the following vehicle arrived, which could have caused a conflict.

[0105] S4.2.c3 If any of the above conditions are met, it is determined that there is a risk of time conflict, and the construction vehicle is prohibited from entering and continuing to work within this time window; otherwise, it is considered that the vehicle is "time safe" and is allowed to enter and exit as planned.

[0106] S4.2.c4. As the train timetable and construction vehicle progress are updated in real time, the above-mentioned key moments will be dynamically recalculated, that is, time conflict judgment will be re-performed to ensure their real-time performance.

[0107] Example as follows:

[0108] departure time of the previous operating train 10:07; Arrival time of the next operating train 10:20; Time for construction vehicles to enter the section 10:08; Estimated duration of operation for construction vehicles 8 minutes; Time for construction vehicles to leave the area 10:08 + 8 = 10:16; Safety buffer time =3 minutes;

[0109] Forward vehicle overlap determination (10:08) - (10:07) = 1 minute < (3 minutes);

[0110] If a construction vehicle enters before the preceding vehicle has completely left, and the buffer period is less than 3 minutes, it is considered a risk of overlapping with the preceding vehicle and is prohibited from entering the site.

[0111] The optimal path allocation method is as follows:

[0112] S4.3.1 Abstract all key work points, turnouts, construction section entrances and exits, and avoidance zones in the digital twin model into a set of nodes in a graph. For each vehicle on the road, an "occupancy node" is inserted at the start and end of the section it occupies for subsequent avoidance judgment.

[0113] S4.3.2, corresponding to the physical channel between two nodes, is abstracted as a set of weighted edges. ;

[0114] Each edge Connect two nodes and And with the following attributes:

[0115] Time cost The point sequence generated through the above spatial collision determination Obtain the estimated arrival times of the two points and calculate the estimated transit time. ;

[0116] Occupancy Status: If the physical lane is occupied by other vehicles within the planned time window, a large penalty will be applied.

[0117] Train priority impact: When the edge is traveling in the same direction as the next train, an additional small penalty value is added. This is used to encourage vehicles to avoid passageways that are traveling in the same direction as the train;

[0118] Each edge is defined based on the aforementioned time cost, occupancy status, and train priority. Overall weight Overall weighting The algorithm is as follows: ,in For the estimated travel time, The penalty for occupancy is set to a maximum value if other construction vehicles or commercial trains occupy the space during that time period, otherwise it is 0. The penalty is for trains traveling in the same direction (if the direction of the side is the same as the direction of the train that is about to arrive, take 1; otherwise, take 0). , The weighting coefficient can be set to , , And find the shortest path based on the weight;

[0119] Before applying the shortest path algorithm, the above paths are filtered for feasibility:

[0120] Only retain within the predicted safe operation time window Inner reachable edge: If the minimum cumulative time from the start point to the end point exceeds the safe working time window. If so, then the edge is considered invalid;

[0121] Edges that are predicted to pose a collision risk with vehicle trajectories already in operation within the zone are directly removed from the graph.

[0122] Ensure that there is a feasible path from each work point to the nearest avoidance zone: if route planning fails, switch to "emergency avoidance mode" to retain only the shortest feasible path to the avoidance zone;

[0123] Example as follows: Ballast leveling vehicles need to start from temporary stockpiling point A ( Head to work point B ( );

[0124] The node set is as follows ,in The nearest avoidance zone; edge set and properties:

[0125] : , , ;

[0126] : , (Already occupied by other vehicles) ; : , , ;

[0127] : , , ;

[0128] : , , ;

[0129] : , , ;

[0130] Eliminate Weight calculation: , , , ;

[0131] The shortest path is: The total weight is 1.5 + 7.5 + 1.0 = 10.0.

[0132] Therefore, select As the optimal path without conflict, the occupancy status of the above path is continuously monitored during execution. If a new occupancy risk occurs, a recalculation is triggered.

[0133] S5. Real-time monitoring of construction vehicles. When a vehicle's operation is delayed, the system instructs other construction vehicles to adjust their task order based on the real-time status, thereby reducing the overall waiting time.

[0134] The specific method for adjusting the task sequence of construction vehicles is as follows: Priority is calculated by the ratio of the remaining working time required by the vehicle in its current state to the remaining available time of the current safe operation window, using the following formula: ,in For vehicles Based on the remaining time required in the current state, The remaining time of this safe operation window, when At that time, the vehicle The task can be completed within the current window, and the smaller the value, the lower the remaining time occupies in the window, and the more likely it should be scheduled.

[0135] S6. The construction vehicle performs the task and transmits its location and progress information back. The digital twin system then executes S3-S5 again based on the data.

[0136] This embodiment also provides a digitally based railway construction system, including:

[0137] Data acquisition module: used to collect real-time location, speed, direction and identity information of construction vehicles, and to obtain the timetable of operating trains and the location data of trains in the section from the railway dispatch center;

[0138] Digital Twin Building Module: Used to generate digital twin models of construction areas based on 3D GIS and BIM modeling, and to realize real-time mapping of vehicle data and train data;

[0139] Time window calculation module: used to calculate safe operation time windows based on the arrival and departure times of commercial trains;

[0140] Conflict detection module: used to predict the intersection of construction vehicle and commercial train tracks and determine whether there is a conflict within the safe operation time window;

[0141] Scheduling module: Used by the shortest path algorithm to allocate conflict-free travel paths for construction vehicles and adjust the task order when vehicles are delayed;

[0142] Closed-loop control module: Used to feed back the work progress and location data transmitted by the construction vehicles to the digital twin system in real time, and to perform time window calculation, conflict detection and scheduling in a loop.

[0143] This embodiment also provides a computer device applicable to the case of a digitally based railway construction method, comprising: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to realize the digitally based railway construction method proposed in the above embodiment.

[0144] The computer device can be a terminal, comprising a processor, memory, communication interface, display screen, and input devices connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The communication interface is used for wired or wireless communication with external terminals; wireless communication can be achieved through Wi-Fi, carrier networks, NFC (Near Field Communication), or other technologies. The display screen can be an LCD screen or an e-ink screen. The input devices can be a touch layer covering the display screen, buttons, a trackball, or a touchpad on the computer device's casing, or an external keyboard, touchpad, or mouse.

[0145] In summary, this invention constructs a data closed loop of "real-time-prediction-scheduling-feedback" to map the operation of commercial trains and the status of construction vehicles onto a digital twin platform, dynamically calculates safe operation time windows and quantifies and predicts trajectories, and achieves dual collision detection in both space and time; at the same time, the shortest path and task priority are rearranged to allocate the optimal and conflict-free travel and operation sequence to each construction vehicle.

[0146] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A method of railway construction based on digitization, characterized in that: Comprise: S1, in the construction section and adjacent operating line section, the relevant equipment is laid, the three-dimensional position, speed and identity information of the construction vehicle are obtained in real time, the operating train related data is obtained from the railway dispatching center and is pretreated; S2, a digital twin model is established, the real-time state of each construction vehicle is mapped into the digital twin model with the operating train data in real time, and one-to-one correspondence between virtual environment and physical environment is realized; S3, based on the time difference of two operating trains entering and leaving the same interval, the minimum value in all train intervals is found, and the safety operation time window available is obtained by deducting the safety buffer time. The method for predicting the intersection point of the trajectory of the construction vehicle and the operating train in real time is as follows: S4.1, data acquisition: the position, speed and direction of each construction vehicle are obtained and reported at a set frequency; the train diagram and real-time positioning are obtained from the railway center to obtain the train position, speed and predicted arrival and departure time, and all input data are pretreated to form a unified space-time data set; S4.2, trajectory prediction: the trajectory of each construction vehicle is predicted based on the current state and the train diagram, and the trajectory of each operating train is predicted based on the train diagram and the real-time positioning data; S4.3, the shortest path algorithm is used to find the shortest path from the starting point to the ending point of each construction vehicle, and the shortest path is obtained by defining the weight of each edge based on the time cost, occupation state and train priority influence. ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ ​ 2. The digital-based railway construction method according to claim 1, characterized in that: ​ 3. The digital-based railway construction method according to claim 2, characterized in that: ​ ​ S4.2, predict the trajectory of the construction vehicle and the business train in the future time based on the current speed and historical data, and make a spatial collision judgment and a time conflict judgment, if any of the judgments is established, the construction vehicle is not allowed to enter the construction section in the time window.

4. The digital-based railway construction method according to claim 3, characterized in that: The specific method for predicting the trajectory of the construction vehicle and the business train is as follows: S4.2.a1, collect the speed measurement values of two consecutive time points through the sensor, and obtain the current position, calculate the current acceleration vector according to the difference between the two speeds; S4.2.a2, estimate the position at any predicted time according to the acceleration and position information; S4.2.a3, collect speed information at a set frequency, and repeat the above "prediction" process.

5. The digitally based railway construction method of claim 1, wherein: The specific method for spatial collision judgment in S4.2 is as follows: S4.2.b1, take from the current time to the end of the safe operation window; S4.2.b2, set a step size, represent the continuous motion of the construction vehicle and the business train from the current time to the end of the safe operation window with a series of discrete time points, predict the future positions of the two, and generate two point sequences; S4.2.b3, set a "safe distance threshold"; S4.2.b4, calculate the Euclidean distance between the two points at each time step: If there is any time step that makes the distance between the two points less than the safe distance threshold, it is determined that there is a "spatial collision risk", and the vehicle is prohibited from entering and continuing to operate.

6. The digitally based railway construction method of claim 5, wherein: The specific method for time conflict judgment in 4.2 is as follows: S4.2.c1, determine the key time points: Construction vehicle entry time; Construction vehicle exit time; Business train arrival time; Business train departure time; S4.2.c2, conflict judgment: Lead vehicle overlap risk: the construction vehicle enters the construction interval too early, such that the interval entry time is less than the safe buffer time from the departure time of the previous train in the column Rear vehicle overlap risk: the construction vehicle leaves the construction section too late, so that the interval between the construction vehicle leaving the section time and the arrival time of the next train is less than the safe buffer time; S4.2.c3, if any of the above conditions is established, it is determined that there is a time conflict risk, and the construction vehicle is prohibited from entering and continuing to operate in the time window; otherwise, it is considered "time safe" and the vehicle is allowed to enter and exit according to the plan; S4.2.c4, with the real-time update of the train diagram and the construction vehicle progress, the above key time points will be dynamically recalculated, that is, the time conflict judgment will be performed again.

7. The digitally based railway construction method of claim 6, wherein: The specific method for adjusting the task sequence of the construction vehicle is as follows: calculate the priority by the ratio of the remaining working time required by the current state of the vehicle to the remaining available time of the current safe operation window.

8. Digitally based railway construction system based on the digitally based railway construction method according to any one of claims 1 to 7, characterized in that It includes: Data acquisition module: used for collecting real-time position, speed, direction and identity information of the construction vehicle, and obtaining train schedule and section train position data from the railway dispatching center; Digital twin construction module: used for generating a digital twin model of the construction area based on three-dimensional GIS and BIM modeling, and realizing real-time mapping of vehicle data and train data; Time window calculation module: used for calculating the safe operation time window based on the arrival and departure time of the business train; Conflict detection module: used for predicting the intersection of the trajectory of the construction vehicle and the business train, and judging whether there is a conflict in the safe operation time window; A scheduling module is used to assign conflict-free travel paths to construction vehicles by using the shortest path algorithm, and to adjust the task sequence when the vehicle is delayed. A closed-loop control module is used to feed back the work progress and position data returned by the construction vehicle to the digital twin system in real time, and to perform time window calculation, conflict detection and scheduling in a loop. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that: The processor implements the steps of the digital-based railway construction method of any one of claims 1-7 when executing the computer program.

Images