Rail transit signal controller control system based on big data

Abstract

The invention relates to the technical field of rail traffic, in particular to a rail traffic signal controller control system based on big data, which comprises a big data analysis module, a historical database and a plurality of monitoring control modules, the plurality of monitoring control modules respectively transmit the monitored track state environment data and the train running state to the big data analysis module for simulation analysis; the output end of each monitoring control module is connected with terminal equipment, and the terminal equipment executes operation according to a control signal sent by the monitoring control module; a mobile monitoring unit is introduced into the monitoring control module, so that the train can safely and efficiently respond to the command of a signal machine when running on a standby track, the safety risk is reduced, and the transportation efficiency is improved; according to the invention, the technical problems of rapidly adjusting the operation plan and improving the coordination ability in the construction scene of the rail traffic signal controller control system and accurately capturing the train speed information and timely providing the command signal in the standby rail scene are solved.

Description

Technical Field

[0001] The present invention relates to the field of rail transit technology, and in particular to a rail transit signal control system based on big data. Background Art

[0002] Rail transit undertakes the task of transporting a large number of people or goods with its advantages of large capacity, high efficiency and low pollution, which greatly alleviates traffic pressure and provides solid guarantee. In the rail transit system, signal machines are particularly important. Through various signal instructions, such as light display and sound prompts, they can accurately control the running status of trains, ensure that trains run safely and orderly according to the predetermined route, speed and interval, and are key equipment to ensure driving safety and improve transportation efficiency.

[0003] However, the existing rail transit signal control system has certain limitations. In construction scenarios, especially temporary construction, it is difficult for traditional signal machines to quickly adjust train operation plans, which can easily lead to chaotic train operations during construction and affect operational efficiency. Furthermore, the coordination ability of signal machines is insufficient, and it is often difficult to make optimal decisions in terms of rescue guidance, fault area protection, and prevention of collective delays. In addition, although some traditional fixed monitoring units can monitor the arrival of trains near the signal machine and start command actions on the main track, in the backup track scenario, due to differences in train operation modes and speeds, the signal machine may not be able to capture the speed information of all trains in a timely and accurate manner, which in turn causes the signal machine to be unable to provide command signals in a timely manner. If the current train needs to stop immediately but the train has no tendency to stop, traffic accidents are likely to occur.

[0004] Therefore, it is extremely important to solve the problem of how to quickly adjust the operation plan of the rail transit signal control system in the construction scenario, improve the coordination ability, and accurately capture the train speed information and provide command signals in time in the spare track scenario. Summary of the invention

[0005] The purpose of this application is to provide a rail transit signal control system based on big data, which solves the technical problems of the rail transit signal control system to quickly adjust the operation plan in the construction scenario, improve the coordination ability, and accurately capture the train speed information in the spare track scenario and provide command signals in time.

[0006] In order to solve the above technical problems, the solution adopted by this application is as follows:

[0007] The present invention provides a rail transit signal control system based on big data, characterized in that it comprises a big data analysis module, a historical database, and a plurality of monitoring and control modules, wherein the plurality of monitoring and control modules respectively transmit the monitored track state environment data and train running state to the big data analysis module for analysis; after the analysis is completed, the big data analysis module transmits the analysis results to the plurality of monitoring and control modules respectively; the output end of each monitoring and control module is connected to a terminal device, and the terminal device performs an operation according to the control signal sent by the monitoring and control module;

[0008] The historical database stores historical track maintenance information, including but not limited to track maintenance times, track maintenance problems, and total maintenance time;

[0009] The big data analysis module includes a data processing unit, a first communication unit, a track maintenance unit, and a train operation unit, wherein the track maintenance unit, the train operation unit, and the data processing unit are connected; the data processing unit transmits data to each other with the plurality of monitoring and control modules through the first communication unit;

[0010] The track maintenance unit is used to store track maintenance information; the track information includes the remaining time of track maintenance, track position, and track maintenance type; the track maintenance type includes long-term maintenance track, short-term maintenance track, and temporary maintenance track;

[0011] The train operation unit is used to store train operation information; the train operation information includes train number, train operation time period, train type, train location, and train travel path; the train type includes passenger train and freight train;

[0012] The first communication unit is used to receive data transmitted by the plurality of monitoring control modules and transmit the analysis result data packets to the corresponding monitoring receiving modules;

[0013] The data processing unit reads the track maintenance information in the track maintenance unit and the train operation information in the train operation unit, receives the monitoring data packets transmitted by the multiple monitoring control modules and parses them to obtain the monitoring data; obtains the available track data according to the track maintenance information and the monitoring data; obtains multiple groups of signal machine command data according to the track data and the train operation information; the data processing unit packs the multiple groups of signal machine command data respectively and labels the data packets to obtain multiple signal machine command data packets; the first communication unit transmits the signal machine command data packets to the corresponding monitoring control modules according to the label information; the data processing unit receives the alarm signals of the multiple monitoring control modules, and optimizes the signal machine command data according to the alarm signals;

[0014] The signal command data includes the preset position of the mobile monitoring unit, the working mode of the terminal device, the monitoring control module number, and the distance between the monitoring area on the track where the monitoring control module is located and the nearest train;

[0015] The monitoring and control module includes a monitoring unit, an edge processing unit, a control unit, and a second communication unit; the edge processing unit is connected to the monitoring unit, the control unit, and the second communication unit respectively; the edge processing unit transmits data to and from the big data analysis module via the second communication unit;

[0016] The control unit controls the operation of the terminal device and controls the mobile monitoring unit to move to a preset position according to the control signal received from the edge processing unit;

[0017] The second communication unit is used to receive data transmitted by the big data analysis module and transmit the monitoring data packet to the big data analysis module.

[0018] The monitoring unit includes a mobile monitoring unit and a fixed monitoring unit; the mobile monitoring unit is used to collect first train operation data and track environment data along the track, and transmit the first train operation data and track environment data to the edge processing unit; the fixed monitoring unit is used to collect second train operation data and terminal device operation data along the track, and transmit the second train operation data and terminal device operation data to the edge processing unit;

[0019] The edge processing unit receives the signal command data packet transmitted by the big data analysis module and parses it to obtain the signal command data. The edge processing unit outputs a control signal to the control unit according to the signal command data to control the mobile monitoring unit to move to a preset position. The edge processing unit receives the data of the mobile monitoring unit and pre-processes the data. After the pre-processing is completed, it is determined whether the first operation data of the train exceeds the preset first threshold, and the second preset threshold is modified according to the determination result. At the same time, a control signal is output to the control unit, and the control unit controls the operation of the terminal device. The edge processing unit receives the data of the fixed monitoring unit and pre-processes the data. After the pre-processing is completed, it is determined whether the second operation data of the train exceeds the preset second threshold, and an alarm signal is transmitted to the big data analysis module according to the determination result. The edge processing module determines the track safety status according to the track environment data and the terminal equipment operation data. The edge processing unit packages and labels the monitoring data to obtain a monitoring data packet. The monitoring data packet is transmitted to the big data analysis module by the edge processing unit through the second communication unit.

[0020] The monitoring data includes track environment data and terminal equipment operation data.

[0021] In some embodiments, the data processing unit receives a plurality of monitoring data packets transmitted by the monitoring control modules and parses them to obtain monitoring data, and determines the track safety status according to the track environment data and the terminal equipment operation data in the detection data;

[0022] A track with a higher track safety status coefficient is used as an alternative track in a track use model; and available track data is obtained according to the track maintenance information and the alternative track.

[0023] Tracks with lower track safety status coefficients are regarded as problematic tracks. The data processing unit collects statistics on the problematic tracks to obtain a problematic track table. The data processing unit sends the problematic track table to the monitoring center for warning.

[0024] The data processing unit retrieves historical track maintenance information from a historical database to determine whether the problematic track can be used as a future spare track.

[0025] In some embodiments, available track data is obtained according to the track maintenance information and the alternative track; the available track data includes currently available track data and future available track data;

[0026] The acquisition of available orbital data includes the following steps:

[0027] Classifying the tracks according to the track maintenance type to obtain a long-term maintenance track set, a short-term maintenance track set, and a temporary maintenance track set; performing threshold comparison on the data in the long-term maintenance track set, the short-term maintenance track set, and the temporary maintenance track set to screen out current spare tracks and future spare tracks;

[0028] The current spare track and the spare track are combined into a currently usable track; the current spare track, the spare track, and the future spare track are combined into a future usable track.

[0029] In some embodiments, the determination of whether the problematic track can be used as a future backup track is performed by the following steps:

[0030] Step S201: retrieve the number of repairs, track repair problems, and total repair time of the problem track from the historical database according to the problem track information;

[0031] Step S202: predicting the total possible maintenance time of the problematic track based on the track maintenance problem of the problematic track;

[0032] Step S203: predicting the total maintenance time of the problematic track according to the total maintenance time and maintenance times of the problematic track;

[0033] Step S204: determine whether the total maintenance time of the problem track exceeds a threshold; if it exceeds the threshold, the problem track cannot be used as a future spare track; if it exceeds the threshold, the problem track can be used as a future spare track.

[0034] In some embodiments, obtaining multiple sets of signal control data according to the track data and train operation information includes the steps of:

[0035] Simulate the future operation status of the train based on the current train operation data and the train travel data to be used on the day;

[0036] During the simulation, potential train conflicts are detected and corresponding signal control data is generated according to the type and severity of the conflict to remind the train to slow down or stop.

[0037] In some embodiments, the data processing unit packages multiple groups of signal machine command data respectively and labels the data packets to obtain multiple signal machine command data packets, including the steps of:

[0038] Step S101: reading multiple sets of signal control data;

[0039] Step S102: Prioritize the distance between the monitoring area on the track where the monitoring control module is located and the nearest train in the signal command data; and mark the signal command data packet for the first time according to the priority order;

[0040] Step S103: marking the signal command data packet for the second time according to the monitoring control module number in the signal command data packet; after completion, the signal command data packet is obtained;

[0041] The first communication unit preferentially sends data packets with higher priorities according to the label information of the signal machine command data packets.

[0042] In some embodiments, the mobile monitoring unit includes an image acquisition module and a vehicle speed sensor; the image acquisition module is used to obtain the train number of the train; the vehicle speed sensor is used to monitor the first running speed of the train; the first running speed of the train is transmitted to the edge processing unit by the mobile monitoring unit; the edge processing unit compares the first running speed with the first preset threshold, and determines whether it is necessary to open the terminal device in advance to remind the train to slow down or stop.

[0043] In some embodiments, the terminal device includes a signal machine and a switch machine, and the signal machine and the switch machine are respectively connected to the control unit;

[0044] The signal machine directs the train operation according to the control signal sent by the control unit;

[0045] The switch machine switches or locks the turnout according to the control signal sent by the control unit.

[0046] The technical solution of the present application has at least the following advantages and beneficial effects:

[0047] 1. The present invention integrates a monitoring and control module and a big data analysis module, wherein the monitoring and control module includes fixed and mobile monitoring units, which are deployed beside the track to collect track environment, train travel and terminal equipment data in real time and transmit them to the big data analysis module. The module analyzes the track status, outputs a command signal to the monitoring and control module, commands the mobile monitoring unit to a preset position, detects the train in advance and uploads the speed to the edge processing unit. The edge processing unit quickly sends out a command signal based on the speed information to prevent traffic accidents caused by insufficient braking of the train, significantly improving the safety and emergency response capabilities of rail transit;

[0048] 2. In the present invention, if the train route needs to be adjusted urgently due to track construction, the big data analysis module will respond quickly and send a control signal to the monitoring control module, which will control the mobile monitoring unit to go to the preset position. When a train passes the signal smoothly, the mobile monitoring unit can capture the dynamics of the subsequent train in advance and make the signal to command, ensuring a safe interval between the two trains;

[0049] 3. Although traditional fixed monitoring units can monitor the running status of trains on the track, they may have limitations in the spare track scenario. Since the running mode and speed of the train on the spare track may be different from those on the main track, the fixed monitoring unit may not be able to capture the dynamic information of all trains in a timely and accurate manner, resulting in the signal provided by the signal machine not being responded to by the train in a timely manner. The purpose of setting up a mobile monitoring unit in the present invention is to enhance the monitoring capability of the spare track, improve the signal response speed, adapt to the flexible use characteristics of the spare track, and improve the reliability of the entire rail transit system. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the overall structure of the present invention.

[0051] Figure 2 This is a schematic diagram of a big data analysis module of the present invention;

[0052] Figure 3 It is a schematic diagram of the monitoring control module of the present invention. DETAILED DESCRIPTION

[0053] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further defined and explained in the subsequent figures. If the terms "center", "upper", "lower", "inner", "outer", etc. indicate an orientation or position relationship based on the orientation or position relationship shown in the figure, or the orientation or position relationship in which the product of the application is usually placed when in use, it is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application. It should also be noted that unless otherwise clearly specified and limited, if the terms "set", "install", and "connect" appear, they should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or it can be a connection between the two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0055] Example 1

[0056] Please refer to Figure 1-Figure 3 The present invention provides a rail transit signal control system based on big data, including a big data analysis module, a historical database, and multiple monitoring and control modules. The multiple monitoring and control modules transmit the monitored track state environment data and train running state to the big data analysis module for analysis; after the analysis is completed, the big data analysis module transmits the analysis results to the multiple monitoring and control modules respectively; the output end of each monitoring and control module is connected to a terminal device, and the terminal device performs an operation according to the control signal sent by the monitoring and control module;

[0057] A historical database storing historical track maintenance information, including but not limited to track maintenance times, track maintenance problems, and total maintenance time;

[0058] The big data analysis module includes a data processing unit, a first communication unit, a track maintenance unit, and a train operation unit. The track maintenance unit, the train operation unit, and the data processing unit are connected; the data processing unit transmits data to and from the plurality of monitoring and control modules through the first communication unit;

[0059] Track maintenance unit, used to store track maintenance information; track information includes remaining track maintenance time, track position, and track maintenance type; track maintenance types include long-term maintenance track, short-term maintenance track, and temporary maintenance track;

[0060] The train operation unit is used to store train operation information; the train operation information includes train number, train operation time period, train type, train location, and train travel path; the train type includes passenger train and freight train;

[0061] A first communication unit, used to receive data transmitted by a plurality of monitoring control modules and transmit analysis result data packets to corresponding monitoring receiving modules;

[0062] The data processing unit reads the track maintenance information in the track maintenance unit and the train operation information in the train operation unit, receives the monitoring data packets transmitted by the multiple monitoring and control modules and parses them to obtain the monitoring data; obtains the available track data according to the track maintenance information and the monitoring data; obtains multiple groups of signal machine command data according to the track data and the train operation information; the data processing unit packages the multiple groups of signal machine command data respectively and labels the data packets to obtain multiple signal machine command data packets; the first communication unit transmits the signal machine command data packets to the corresponding monitoring and control modules according to the label information; the data processing unit receives the alarm signals of the multiple monitoring and control modules, and optimizes the signal machine command data according to the alarm signals;

[0063] The signal command data includes the preset position of the mobile monitoring unit, the working mode of the terminal equipment, the monitoring control module number, and the distance between the monitoring area on the track where the monitoring control module is located and the nearest train.

[0064] It should be noted that the data processing unit receives monitoring data packets transmitted by multiple monitoring control modules and parses them to obtain monitoring data, and determines the track safety status according to the track environment data and terminal equipment operation data in the detection data;

[0065] Tracks with higher track safety status coefficients are used as candidate tracks in the track use model; available track data are obtained based on track maintenance information and candidate tracks;

[0066] Tracks with low track safety status coefficients are regarded as problematic tracks. The data processing unit collects statistics on the problematic tracks to obtain a problematic track table. The data processing unit sends the problematic track table to the monitoring center for warning.

[0067] The data processing unit retrieves the historical track maintenance information from the historical database to determine whether the problematic track can be used as a future spare track.

[0068] Specifically, determine whether the problematic track can be used as a future backup track by following the steps below:

[0069] Step S201: retrieve the number of repairs, track repair problems, and total repair time of the problem track from the historical database according to the problem track information;

[0070] Step S202: predicting the total possible maintenance time of the problematic track based on the track maintenance problem of the problematic track;

[0071] Step S203: predicting the total maintenance time of the problematic track according to the total maintenance time and maintenance times of the problematic track;

[0072] Step S204: determine whether the total maintenance time of the problem track exceeds a threshold; if it exceeds the threshold, the problem track cannot be used as a future spare track; if it exceeds the threshold, the problem track can be used as a future spare track.

[0073] Further, available track data is obtained according to the track maintenance information and the candidate track; the available track data includes currently available track data and future available track data;

[0074] The acquisition of available orbital data includes the following steps:

[0075] The tracks are classified according to the track maintenance type to obtain a long-term maintenance track set, a short-term maintenance track set, and a temporary maintenance track set; threshold comparison is performed on the data of the long-term maintenance track set, the short-term maintenance track set, and the temporary maintenance track set to screen out the current spare tracks and the future spare tracks;

[0076] The current spare track and the spare track are combined into the currently usable track; the current spare track, the spare track, and the future spare track are combined into the future usable track.

[0077] Furthermore, the data processing unit packages the multiple groups of signal machine command data respectively and labels the data packets to obtain multiple signal machine command data packets, including the steps of:

[0078] Step S101: reading multiple sets of signal control data;

[0079] Step S102: Prioritize the distance between the monitoring area on the track where the monitoring control module is located and the nearest train in the signal control data; and mark the signal control data packet for the first time according to the priority order;

[0080] Step S103: marking the signal command data packet for the second time according to the monitoring control module number in the signal command data packet; after completion, the signal command data packet is obtained;

[0081] The first communication unit preferentially sends data packets with higher priorities according to the label information of the signal machine command data packets.

[0082] It should be noted that obtaining multiple sets of signal control data according to track data and train operation information includes the following steps:

[0083] Simulate the future operation status of the train based on the current train operation data and the train travel data to be used on the day;

[0084] During the simulation, potential train conflicts are detected and corresponding signal control data is generated according to the type and severity of the conflict to remind the train to slow down or stop.

[0085] The specific steps include:

[0086] Step S1: simulating the position and acceleration of the train at a future time according to the current train operation data and the train travel data to be used on the day;

[0087] Step S2: Detect whether there is a potential conflict between two trains on the same track;

[0088] Step S3: Generate the command status of the signal according to the current train position, speed, travel plan, signal position and conflict detection result;

[0089] In step S1, the formula:

[0090]

[0091] Among them, T i (t) is the position of the i-th train at time t; V i (t) is the speed of the i-th train at time t; A i (t) is the acceleration of the i-th train at time t; Δt is the time interval;

[0092] Thus, the position of the train at the future time is obtained;

[0093] By formula:

[0094]

[0095] Among them, D brake,i is the braking distance of the i-th train, that is, the distance required to decelerate from the current speed to stop; a brake,i is the braking acceleration of the i-th train;

[0096] Thus, the braking acceleration of the train at the future time is obtained;

[0097] In step S2, the formula:

[0098]

[0099] Among them, Δt conflict To predict the time interval of conflict, D safe For safe distance;

[0100] This detects whether there is a potential conflict between two trains.

[0101] The step S3 is performed by formula:

[0102] C j (t) = f(T i (t), V i (t), P i , S j ,Conflict( i , k, t))

[0103] Among them, S j is the position of the jth signal; C j (t) is the command status of the jth signal at time t (such as green light, yellow light, red light). i The travel plan of the i-th train, including but not limited to the departure time, arrival time, and stations along the way;

[0104] The command status of the signal machine is thus generated.

[0105] The monitoring and control module includes a monitoring unit, an edge processing unit, a control unit, and a second communication unit; the edge processing unit is connected to the monitoring unit, the control unit, and the second communication unit respectively; the edge processing unit transmits data to and from the big data analysis module through the second communication unit;

[0106] A control unit, which controls the operation of the terminal device and controls the mobile monitoring unit to move to a preset position according to the control signal received from the edge processing unit;

[0107] The second communication unit is used to receive data transmitted by the big data analysis module and transmit the monitoring data packet to the big data analysis module

[0108] The monitoring unit includes a mobile monitoring unit and a fixed monitoring unit; the mobile monitoring unit is used to collect first train operation data and track environment data along the track, and transmit the first train operation data and track environment data to the edge processing unit; the fixed monitoring unit is used to collect second train operation data and terminal device operation data along the track, and transmit the second train operation data and terminal device operation data to the edge processing unit;

[0109] The edge processing unit receives the signal command data packet transmitted by the big data analysis module and parses it to obtain the signal command data. The edge processing unit outputs a control signal to the control unit according to the signal command data to control the mobile monitoring unit to move to a preset position. The edge processing unit receives the data of the mobile monitoring unit and pre-processes the data. After the pre-processing is completed, it is determined whether the first operation data of the train exceeds the preset first threshold value, and the second preset threshold value is modified according to the determination result. At the same time, a control signal is output to the control unit, and the control unit controls the operation of the terminal device. The edge processing unit receives the data of the fixed monitoring unit and pre-processes the data. After the pre-processing is completed, it is determined whether the second operation data of the train exceeds the preset second threshold value, and an alarm signal is transmitted to the big data analysis module according to the determination result. The edge processing module determines the track safety status according to the track environment data and the terminal equipment operation data. The edge processing unit packages and labels the monitoring data to obtain a monitoring data packet. The monitoring data packet is transmitted to the big data analysis module by the edge processing unit through the second communication unit.

[0110] Monitoring data include track environment data and terminal equipment operation data.

[0111] The mobile monitoring unit includes an image acquisition module and a vehicle speed sensor; the image acquisition module is used to obtain the train number of the train; the vehicle speed sensor is used to monitor the first running speed of the train; the first running speed of the train is transmitted to the edge processing unit by the mobile monitoring unit; after the edge processing unit compares the first running speed with the first preset threshold, it determines whether it is necessary to open the terminal device in advance to remind the train to slow down or stop.

[0112] It should be noted that although the traditional fixed monitoring unit can monitor the running status of trains on the track, it may have limitations in the spare track scenario. Since the running mode and speed of the train on the spare track may be different from those on the main track, the fixed monitoring unit may not be able to capture the dynamic information of all trains in a timely and accurate manner, resulting in the signal provided by the signal cannot be responded to by the train in a timely manner. The purpose of setting up a mobile monitoring unit in the present invention is to enhance the monitoring capability of the spare track, improve the signal response speed, adapt to the flexible use characteristics of the spare track, and improve the reliability of the entire rail transit system. By introducing a mobile monitoring unit, it can be ensured that the train can safely and efficiently respond to the command of the signal when running on the spare track, reduce safety risks, and improve transportation efficiency.

[0113] The fixed monitoring unit includes a vehicle speed sensor, which is used to monitor a second running speed of the train; the second running speed of the train is transmitted to the edge processing unit by the fixed monitoring unit; the edge processing unit compares the second running speed with a second preset threshold value, and when the second running speed shows a trend inconsistent with the second preset threshold value, the edge processing unit issues a fault warning to the big data analysis module in advance, and the big data analysis module judges the running status and potential risks of the train based on this signal, and sends an alarm signal to the monitoring center at the same time, so that maintenance personnel can take timely measures to carry out maintenance or adjustments.

[0114] It should be noted that if a track fails and needs temporary repair, and the fault point is close to the signal, the mobile monitoring unit on the track can be quickly converted into a temporary communication unit and upload data to the monitoring center through the edge processing unit.

[0115] It should be noted that the terminal equipment includes a signal machine and a switch machine, which are respectively connected to the control unit; the signal machine commands the train operation according to the control signal sent by the control unit; the switch machine switches or locks the turnout according to the control signal sent by the control unit.

[0116] So far, various embodiments of the present invention have been described in detail. In order to avoid obscuring the concept of the present invention, some details known in the art are not described. Those skilled in the art can fully understand how to implement the technical solution invented here based on the above description, and the scope of the present invention is defined by the attached claims.

Claims

1. A rail transit signal control system based on big data, characterized in that: It includes a big data analysis module, a historical database, and multiple monitoring and control modules. The multiple monitoring and control modules transmit the monitored track status environment data and train operation status to the big data analysis module for analysis; after the analysis is completed, the big data analysis module transmits the analysis results to the multiple monitoring and control modules respectively; the output end of each monitoring and control module is connected to a terminal device, and the terminal device performs an operation according to the control signal sent by the monitoring and control module; The historical database stores historical track maintenance information, including but not limited to track maintenance times, track maintenance problems, and total maintenance time; The big data analysis module includes a data processing unit, a first communication unit, a track maintenance unit, and a train operation unit, wherein the track maintenance unit, the train operation unit, and the data processing unit are connected; the data processing unit transmits data to each other with the plurality of monitoring and control modules through the first communication unit; The track maintenance unit is used to store track maintenance information; the track information includes the remaining time of track maintenance, track position, and track maintenance type; the track maintenance type includes long-term maintenance track, short-term maintenance track, and temporary maintenance track; The train operation unit is used to store train operation information; the train operation information includes train number, train operation time period, train type, train location, and train travel path; Train types include passenger trains and freight trains; The first communication unit is used to receive data transmitted by the plurality of monitoring control modules and transmit the analysis result data packets to the corresponding monitoring receiving modules; The data processing unit reads the track maintenance information in the track maintenance unit and the train operation information in the train operation unit, receives a plurality of monitoring data packets transmitted by the monitoring control modules and parses them to obtain monitoring data; and obtains available track data according to the track maintenance information and the monitoring data; A plurality of groups of signal machine command data are obtained according to the track data and the train operation information; the data processing unit packages the plurality of groups of signal machine command data respectively and labels the data packets to obtain a plurality of signal machine command data packets; the first communication unit transmits the signal machine command data packets to the corresponding monitoring and control modules respectively according to the label information; the data processing unit receives the alarm signals of the plurality of monitoring and control modules, and optimizes the signal machine command data according to the alarm signals; The signal command data includes the preset position of the mobile monitoring unit, the working mode of the terminal device, the monitoring control module number, and the distance between the monitoring area on the track where the monitoring control module is located and the nearest train; The monitoring and control module includes a monitoring unit, an edge processing unit, a control unit, and a second communication unit; the edge processing unit is connected to the monitoring unit, the control unit, and the second communication unit respectively; the edge processing unit transmits data to and from the big data analysis module via the second communication unit; The control unit controls the operation of the terminal device and controls the mobile monitoring unit to move to a preset position according to the control signal received from the edge processing unit; The second communication unit is used to receive data transmitted by the big data analysis module and transmit the monitoring data packet to the big data analysis module. The monitoring unit includes a mobile monitoring unit and a fixed monitoring unit; the mobile monitoring unit is used to collect first train operation data and track environment data along the track, and transmit the first train operation data and track environment data to the edge processing unit; The fixed monitoring unit is used to collect the second operation data of the train and the operation data of the terminal device along the track, and transmit the second operation data of the train and the operation data of the terminal device to the edge processing unit; The edge processing unit receives the signal command data packet transmitted by the big data analysis module and parses it to obtain the signal command data. The edge processing unit outputs a control signal to the control unit according to the signal command data to control the mobile monitoring unit to move to a preset position. The edge processing unit receives the data of the mobile monitoring unit and pre-processes the data. After the preprocessing is completed, it is determined whether the first running data of the train exceeds the preset first threshold value, and the second preset threshold value is modified according to the determination result, and a control signal is output to the control unit at the same time, and the control unit controls the operation of the terminal device; The edge processing unit receives data from the fixed monitoring unit and pre-processes the data; After the preprocessing is completed, it is determined whether the second running data of the train exceeds the preset second threshold value, and an alarm signal is transmitted to the big data analysis module according to the determination result; The edge processing module determines the track safety status according to the track environment data and the terminal equipment operation data; the edge processing unit packages and labels the monitoring data to obtain a monitoring data packet; the monitoring data packet is transmitted by the edge processing unit to the big data analysis module through the second communication unit; The monitoring data includes track environment data and terminal equipment operation data.

2. A rail transit signal control system based on big data according to claim 1, characterized in that: The data processing unit receives the monitoring data packets transmitted by the monitoring control modules and parses them to obtain monitoring data, and determines the track safety status according to the track environment data and the terminal equipment operation data in the detection data; A track with a higher track safety status coefficient is used as an alternative track in a track use model; and available track data is obtained according to the track maintenance information and the alternative track. Tracks with lower track safety status coefficients are regarded as problematic tracks. The data processing unit collects statistics on the problematic tracks to obtain a problematic track table. The data processing unit sends the problematic track table to the monitoring center for warning. The data processing unit retrieves historical track maintenance information from a historical database to determine whether the problematic track can be used as a future spare track.

3. A rail transit signal control system based on big data according to claim 2, characterized in that: Obtaining available track data according to the track maintenance information and the candidate track; the available track data includes currently available track data and future available track data; The acquisition of available orbital data includes the following steps: Classifying the tracks according to the track maintenance type to obtain a long-term maintenance track set, a short-term maintenance track set, and a temporary maintenance track set; performing threshold comparison on the data in the long-term maintenance track set, the short-term maintenance track set, and the temporary maintenance track set to screen out current spare tracks and future spare tracks; The current spare track and the spare track are combined into a currently usable track; The current spare track, the spare track, and the future spare track are combined into a track that can be used in the future.

4. A rail transit signal control system based on big data according to claim 2, characterized in that: The determination of whether the problematic track can be used as a future backup track is performed through the following steps: Step S201: retrieve the number of repairs, track repair problems, and total repair time of the problem track from the historical database according to the problem track information; Step S202: predicting the total possible maintenance time of the problematic track based on the track maintenance problem of the problematic track; Step S203: predicting the total maintenance time of the problematic track according to the total maintenance time and maintenance times of the problematic track; Step S204: determining whether the total time for repairing the problematic track exceeds a threshold; If the threshold is exceeded, the problematic track cannot be used as a future backup track; If the threshold is exceeded, the problematic track can be used as a future backup track.

5. The rail transit signal control system based on big data according to claim 1 is characterized in that: The method of obtaining a plurality of sets of signal control data according to the track data and the train operation information comprises the following steps: Simulate the future operation status of the train based on the current train operation data and the train travel data to be used on the day; During the simulation, potential train conflicts are detected and corresponding signal control data is generated according to the type and severity of the conflict to remind the train to slow down or stop.

6. The rail transit signal control system based on big data according to claim 1 is characterized in that: The data processing unit packages multiple groups of signal machine command data respectively and labels the data packets to obtain multiple signal machine command data packets, including the steps of: Step S101: reading multiple sets of signal control data; Step S102: Prioritize the distance between the monitoring area on the track where the monitoring control module is located and the nearest train in the signal command data; and mark the signal command data packet for the first time according to the priority order; Step S103: marking the signal command data packet for the second time according to the monitoring control module number in the signal command data packet; after completion, the signal command data packet is obtained; The first communication unit preferentially sends data packets with higher priorities according to the label information of the signal command data packets.

7. The rail transit signal control system based on big data according to claim 1 is characterized in that: The mobile monitoring unit includes an image acquisition module and a vehicle speed sensor; the image acquisition module is used to obtain a train number of a train; the vehicle speed sensor is used to monitor a first running speed of the train; the first running speed of the train is transmitted from the mobile monitoring unit to the edge processing unit; After comparing the first running speed with the first preset threshold, the edge processing unit determines whether it is necessary to open the terminal device in advance to remind the train to slow down or stop.

8. The rail transit signal control system based on big data according to claim 1 is characterized in that: The terminal equipment includes a signal machine and a switch machine, and the signal machine and the switch machine are respectively connected to the control unit; The signal machine directs the train operation according to the control signal sent by the control unit; The switch machine switches or locks the turnout according to the control signal sent by the control unit.

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