Crowdsensing-based method for generating temporary speed restriction of train

Abstract

Disclosed in the present invention are a crowdsensing-based method for generating a temporary speed restriction of a train, an electronic device and a storage medium. The method comprises: monitoring a traveling rail environment on the basis of crowdsensing technology, and sending a speed restriction request to a temporary speed restriction server on the basis of a monitoring result, the speed restriction request comprising a requested speed restriction area and a requested speed restriction value; on the basis of the received speed restriction request, the temporary speed restriction server generating a temporary speed restriction command, and sending the temporary speed restriction command to a train control center device or radio block center device of which the administration range covers the requested speed restriction area, the temporary speed restriction command comprising a speed restriction area and a speed restriction value; and the train control center device or the radio block center device automatically issuing the temporary speed restriction command to trains entering the speed restriction area. The technical solution of the present invention can discover problems in a timely manner, automatically detect problems and automatically communicate the problems, thereby avoiding the problem of human-caused failures in problem discovery by operational staff and of problem entry systems.

Description

Train temporary speed limit generation method based on crowd sensing TECHNICAL FIELD

[0001] The present application relates to the field of railway track transportation technology, in particular to a train temporary speed limit generation method based on crowd sensing, an electronic device and a storage medium. BACKGROUND

[0002] Safety of the intended functionality (SOTIF) has become a hot research direction in the field of automotive safety. SOTIF is used to reduce unacceptable risks caused by insufficient intended functions of the system (design deficiencies or performance limitations) or foreseeable human errors. In the field of train safety, research related to SOTIF is still in its infancy. In adverse environments such as wind, rain, snow, line construction, and trackside faults, based on existing technology, temporary speed limits need to be issued manually, and manual judgment is needed to determine whether the speed limit needs to be executed. In terms of wind, rain and snow, manual instructions are often relied on for protection.

[0003] Therefore, it is necessary to provide a train temporary speed limit generation method based on crowd sensing, an electronic device and a storage medium to solve the problem of relying on manual issuance of temporary speed limit commands in the prior art. DISCLOSURE OF THE INVENTION

[0004] The purpose of the present application is to provide a train temporary speed limit generation method based on crowd sensing, an electronic device and a storage medium to solve the problem of relying on manual issuance of temporary speed limit commands in the prior art.

[0005] To achieve the above-mentioned purpose, the present application provides a train temporary speed limit generation method based on crowd sensing, comprising: detecting the track environment based on crowd sensing technology, sending a speed limit request to a temporary speed limit server based on the detection result, the speed limit request including a request speed limit area and a request speed limit value; the temporary speed limit server generates a temporary speed limit command based on the received speed limit request and sends the temporary speed limit command to a train control center device or a wireless block center device covering the request speed limit area, the temporary speed limit command including a speed limit area and a speed limit value; the train control center device or the wireless block center device automatically issues the temporary speed limit command to the train entering the speed limit area.

[0006] Preferably, the track environment is detected based on crowd sensing technology, and a speed limit request is sent to a temporary speed limit server based on the detection result, comprising: the train performs track wet slip detection, and when the train wheel free running slip is detected, a speed limit request is sent to the temporary speed limit server through a wireless network.

[0007] Preferably, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including: the temporary speed limit server detects whether there is a corresponding speed limit command internally according to the speed limit request, if there is, checks: whether the existing speed limit command corresponding to the speed limit area covers the request speed limit area; whether the speed limit value corresponding to the existing speed limit command is lower than the request speed limit value; if the above conditions are not met, a temporary speed limit command is generated.

[0008] Preferably, the step of obtaining the request speed limit area includes: based on the formula:

[0009] The safety distance = slope × slope weighting coefficient + travel speed × speed weighting coefficient + train slip detection severity × slip weighting coefficient + train basic correction value

[0010] The safety distance is calculated, wherein the slope of uphill is taken as negative number and the slope of downhill is taken as positive number; the request speed limit area is obtained, the range of the request speed limit area is from the position of the safety distance before the train reports the slip point to the position of the safety distance after the train reports the slip point.

[0011] Preferably, the track environment is detected based on crowd sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including: the dispatching system triggers a drone at a fixed time, the drone performs line inspection, and the line running route is photographed and compared with the line stored locally in the drone, when the inconsistency is detected, the dispatching system is applied to apply for the temporary speed limit command information of the area where the line inconsistency is located, if there is no temporary speed limit command, an alarm information is sent to the dispatching system, and the dispatching system sends a speed limit request to the temporary speed limit server based on the alarm information.

[0012] Preferably, the track environment is detected based on crowd sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including: the rear vehicle periodically sends an application to the front vehicle based on vehicle-to-vehicle communication to apply for the current position information and surrounding image information of the front vehicle, and the front vehicle sends the current position information and surrounding image information to the rear vehicle; the rear vehicle continues to move forward, and after reaching the position of the front vehicle or finding the position of the surrounding image sent by the front vehicle, the position of the front vehicle and the surrounding image are compared, for the determined position, when the surrounding image is found to be mismatched, or for the determined surrounding image, when the position of the front vehicle is found to be mismatched, a "multi-vehicle verification error" is sent to the temporary speed limit server.

[0013] Preferably, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including: when the temporary speed limit server receives the "multi-vehicle mutual verification error" information sent by more than N trains, the temporary speed limit server generates a temporary speed limit command, and the speed limit value of the temporary speed limit command is the minimum speed allowed on the corresponding line, and the speed limit area is the maximum range of different train reporting areas.

[0014] Preferably, the track environment is detected based on crowd-sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including: the train driver observes the surrounding environment based on his own knowledge, when he finds that the surrounding environment is bad, he enters a speed limit request through the operation interface of the train automatic protection system or the train automatic operation system, and reports to the temporary speed limit server through the train automatic protection system or the train automatic operation system.

[0015] Preferably, the track environment is detected based on crowd-sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including: based on satellite remote sensing, the line is remotely sensed and photographed by a low revisit period and a software-defined radio satellite, a remote sensing image receiver receives, analyzes and processes the image, obtains a disaster analysis result, and sends a speed limit request to the temporary speed limit server based on the disaster analysis result.

[0016] Preferably, it also includes: when the speed limit area no longer needs speed limit, the temporary speed limit command can be manually released.

[0017] Preferably, it also includes: the temporary speed limit server issues a "release temporary speed limit" test task, after the train receives the test task, it judges whether it has detection conditions, if it has, the unmanned single locomotive drives through the speed limit area at a speed exceeding the speed limit, feeds back the track environment detection result to the temporary speed limit server, the manned and cargo-carrying train strictly drives through the speed limit area at a speed limit, and feeds back the detection result; after the temporary speed limit server receives N continuous safety replies, combined with the feedback results of each train, if it exceeds the safety threshold, the temporary speed limit command is released.

[0018] Preferably, the judgment of whether it has detection conditions includes: judging whether there are other trains and dangerous points within a set distance in front of the train, if not, it has.

[0019] The application also provides an electronic device comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is executed by the processor to implement any one of the train temporary speed limit generation methods based on crowd-sensing provided by the application.

[0020] The application further provides a readable storage medium, wherein the readable storage medium stores a computer program, and the computer program is executed by a processor to realize the group intelligence perception-based temporary speed limit generation method for trains. Advantages

[0021] The group intelligence perception-based temporary speed limit generation method for trains provided by the application detects the track environment of the train through the group intelligence perception technology, and sends a speed limit request to the temporary speed limit service area based on the detection result, thereby reducing the number and frequency of use of the track detection vehicle, and the train can realize self-detection based on its own information or train-to-train communication. The train itself is both a train for completing the transportation task and a track environment detection train, and no additional environment detection system needs to be added, and the measurement data such as speed measurement and distance measurement required for train control by the existing train automatic protection system or train automatic operation system can be reused; the train can discover problems in time, and no special track detection is needed, so that the detection period of the adverse environment can be shortened, and the period of manual confirmation and input is saved. The problems are automatically detected and propagated, and the human failure problem of problem discovery by the operation personnel and problem input into the system is avoided. Moreover, the application realizes the automatic integration of group intelligence perception multi-path information, and further improves the safety of the system. BRIEF DESCRIPTION OF DRAWINGS

[0022] Fig. 1 is a flowchart of the group intelligence perception-based temporary speed limit generation method for trains according to an embodiment of the application;

[0023] Fig. 2 is a schematic diagram of the working principle of the group intelligence perception-based temporary speed limit generation method for trains according to an embodiment of the application;

[0024] Fig. 3 is a flowchart of the group intelligence perception-based temporary speed limit generation method for trains according to an embodiment of the application;

[0025] Fig. 4 is a working diagram of the test task for removing the temporary speed limit according to an embodiment of the application. Best mode for carrying out the application

[0026] A train temporary speed limit generation method based on crowd-sourced perception, an electronic device, and a storage medium are further described in detail below in combination with the accompanying drawings and specific embodiments. The advantages and features of the present application will be more apparent from the following description. It should be noted that the drawings are greatly simplified and all use non-precise proportions, only to facilitate, clear and assist in the purpose of describing the embodiments of the present application. In order to make the purpose, features and advantages of the present application more apparent and easy to understand, please refer to the accompanying drawings. It should be noted that the structure, proportion, size, etc. shown in the drawings attached to the present specification are only used to cooperate with the content disclosed in the specification, so that those skilled in the art can understand and read, and are not used to limit the conditions for implementing the present application. Therefore, any modification of structure, change of proportion relationship or adjustment of size, which does not affect the effect and purpose that can be achieved by the present application, should still fall within the scope of the technical content disclosed by the present application.

[0027] It should be noted that in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the term "include", "contain" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or device. Without more limitations, the element defined by the sentence "includes a" does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0028] Please refer to FIG. 1, which is a flowchart of a basic crowd-sourced perception-based train temporary speed limit generation method according to an embodiment of the present application, which includes:

[0029] Step S1: detecting the track environment based on crowd-sourced perception technology, and sending a speed limit request to a temporary speed limit server based on the detection result, wherein the speed limit request includes a request speed limit area and a request speed limit value.

[0030] In the step S1, the crowd-sourced perception technology can include multiple information such as the train itself, the train driver, the unmanned aerial vehicle, and satellite remote sensing. By automatically fusing multiple information, the safety of the system is improved.

[0031] Step S2: The temporary speed restriction server (TSRS) generates a temporary speed restriction command based on the received speed restriction request, and sends the temporary speed restriction command to a train control center (TCC) device or a radio block center (RBC) device in a jurisdictional range covering the requested speed restriction area, wherein the temporary speed restriction command includes a speed restriction area and a speed restriction value.

[0032] Step S3: The train control center device or the radio block center device automatically issues the temporary speed restriction command to a train entering the speed restriction area.

[0033] The train temporary speed restriction generation method based on crowd-sourced perception provided by the present application can timely detect problems, does not need to wait for special track detection, can shorten the detection period in adverse environments, and saves the period of manual confirmation and input. The temporary speed restriction in the prior art is generated by a dispatcher through a centralized traffic control (CTC) system, is issued to a trackside train control device, and is then issued to a train-mounted train control device. The technical solution of the present embodiment detects a train track based on crowd-sourced perception technology, sends a speed restriction request to a temporary speed restriction server based on a detection result, and the temporary speed restriction server generates a temporary speed restriction command based on the speed restriction request and issues the temporary speed restriction command, which generates the temporary speed restriction command at the source, improves the safety of the system, and does not need manual issuance.

[0034] In some embodiments, the crowd-sourced perception technology detects a track environment, and sends a speed restriction request to a temporary speed restriction server based on a detection result, including:

[0035] The train performs track wet-slip detection, and when it is detected that the train wheels are slipping in an idle state, a speed restriction request is sent to the temporary speed restriction server through a wireless network. In some embodiments, a speed restriction request containing slip information can also be sent to surrounding train-mounted ATP (Automatic Train Protection) / ATO (Automatic Train Operation) devices.

[0036] In the above embodiments, the number and frequency of use of track detection vehicles are reduced, and the train can realize self-detection based on its own information. The train is both a functional train and an environmental monitoring train, and the train itself does not need to increase an additional environmental monitoring system, and can reuse measurement data such as speed measurement and distance measurement required by the existing ATP / ATO train control.

[0037] In the above embodiment, the safety factor of the system is improved. The train can discover problems in time according to its own conditions, does not need to wait for special track detection, can shorten the detection period in adverse environments, and saves the period of manual confirmation and input. In many serious accidents on site, the equipment or the driver discovers the problem, but when interacting with the dispatch, there is omission, and the subsequent work of the dispatch also has omission, which causes other trains to be unable to know the safety warning information. The technical scheme of the embodiment automatically detects the problem and automatically propagates the problem, avoiding the human failure problem of the operation personnel in discovering and inputting the problem into the system.

[0038] For example, refer to FIG. 2, which is a working principle diagram of a train temporary speed limit generation method based on crowd sensing according to an embodiment of the present application. It is assumed that it snows on a certain day, but because the snow condition is not obvious, the dispatch does not issue a temporary speed limit command. The train itself detects the free running and slipping, and then the train brakes and stops, the driver reports to the dispatch in time through the dispatch telephone, and the dispatch does not inform the rear train of the front condition because of negligence (or the rear train driver forgets that there is a speed limit in the front), but the technical scheme of the embodiment is adopted, the current train that discovers the problem sends a speed limit warning to the rear train in time, and the rear train receives the speed limit warning and takes a speed reduction measure.

[0039] Meanwhile, the train also automatically sends the information to the TSRS device, the TSRS generates a temporary speed limit command according to the reported temporary speed limit condition, the TSRS identifies the TCC / RBCs that have a jurisdiction range overlapping the region, and supplements the speed limit information to the related TCC / RBCs. The current train drives at a low speed through the speed limit region, and the rear train also drives at a low speed through the speed limit region according to the speed limit warning sent by the front train. After one day, the manual speed limit is still not canceled, and the TCC / RBC still maintains the temporary speed limit. Each train that is authorized to pass through the region receives the temporary speed limit information through the transponder or wireless network, and drives at a low speed in advance to safely pass through the dangerous region.

[0040] In some embodiments, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including:

[0041] The temporary speed limit server detects whether there is a corresponding speed limit command in the internal according to the speed limit request, if there is, checks:

[0042] Whether the speed limit region corresponding to the existing speed limit command covers the request speed limit region;

[0043] Whether the speed limit value corresponding to the existing speed limit command is lower than the request speed limit value;

[0044] If the above conditions are not met, a temporary speed limit command is generated.

[0045] In some embodiments, the step of obtaining the requested speed-limiting area comprises: based on the formula:

[0046] The safety distance = slope × slope weighting factor + travel speed × speed weighting factor + train skid detection severity × skid weighting factor + train basic correction value;

[0047] The safety distance is calculated, wherein the slope of uphill is taken as negative number and the slope of downhill is taken as positive number;

[0048] The requested speed-limiting area is: (train-reported skid point - safety distance, train-reported skid point + safety distance).

[0049] In some embodiments, the track environment is detected based on crowd-sensing technology, and a speed-limiting request is sent to the temporary speed-limiting server based on the detection result, comprising: the dispatching system triggers the unmanned aerial vehicle periodically, the unmanned aerial vehicle performs line inspection, takes pictures of the line route, compares the pictures with the line stored locally in the unmanned aerial vehicle, and when inconsistency is detected, sends an application to the dispatching system to apply for temporary speed-limiting command information of the area where the line inconsistency is located. If there is no temporary speed-limiting command, an alarm information is sent to the dispatching system, and the dispatching system sends a speed-limiting request to the temporary speed-limiting server based on the alarm information.

[0050] In some embodiments, the track environment is detected based on crowd-sensing technology, and a speed-limiting request is sent to the temporary speed-limiting server based on the detection result, comprising: the following vehicle periodically sends an application to the preceding vehicle based on vehicle-to-vehicle communication to apply for the current position information and surrounding image information of the preceding vehicle, and the preceding vehicle sends the current position information and surrounding image information to the following vehicle; the following vehicle continues to move forward and reaches the position of the preceding vehicle or finds the position of the surrounding image sent by the preceding vehicle, and then compares the position and surrounding image of the preceding vehicle, and for the determined position, when the surrounding image is found to be mismatched or for the determined surrounding image, when the position of the preceding vehicle is found to be mismatched, sends a "multi-vehicle mutual verification error" to the temporary speed-limiting server.

[0051] In the above embodiments, when the temporary speed limit is formed, the information of multiple vehicles is fused, and the fusion of multiple train sensing information is realized.

[0052] In some embodiments, the temporary speed-limiting server generates a temporary speed-limiting command based on the received speed-limiting request, comprising: when the temporary speed-limiting server receives more than N train-sent "multi-vehicle mutual verification error" information, the temporary speed-limiting server generates a temporary speed-limiting command, the speed-limiting value of the temporary speed-limiting command is the lowest speed allowed on the corresponding line, and the speed-limiting area is the maximum range of the reported areas of different trains.

[0053] In some embodiments, the group intelligence perception technology detects the track environment, sends a speed limit request to the temporary speed limit server based on the detection result, and includes: the train driver observes the surrounding environment based on his own perception, when he finds that the surrounding environment is bad, he enters a speed limit request through the operation interface of the train automatic protection system or the train automatic operation system, and reports it to the temporary speed limit server through the train automatic protection system or the train automatic operation system.

[0054] For example, please refer to FIG. 3, which is a flowchart of a group intelligence perception-based train temporary speed limit generation method according to an embodiment of the present application. Assuming that a certain tunnel in the west has multiple accidents, the track in the tunnel deforms, and a train driver finds that the train body vibrates violently after driving through the tunnel. While calling the dispatcher according to the existing process, the driver can further enter temporary speed limit data through the DMI (Desktop Management Interface) operation interface, including the speed limit area, the recommended speed limit value, and the speed limit reason information. The ATP / ATO device sends this data to the TSRS device through the wireless network, and the TSRS automatically identifies the relevant TCC / RBC according to the driver's reported position and issues it to the relevant TCC / RBC. The train driver drives out of the dangerous area at a low speed. Before the speed limit is cancelled, all subsequent trains passing through this area can receive speed limit information from the TCC / RBC, so as to reduce the speed in advance and pass through this area at a low speed.

[0055] In some embodiments, the group intelligence perception technology detects the track environment, sends a speed limit request to the temporary speed limit server based on the detection result, and includes: based on satellite remote sensing, the line is remotely sensed and photographed by a low revisit period and a software-defined radio satellite, a remote sensing image receiver receives and analyzes and processes the image to obtain a disaster analysis result, and sends a speed limit request to the temporary speed limit server based on the disaster analysis result.

[0056] In some embodiments, the group intelligence perception-based train temporary speed limit generation method further includes: when the speed limit area no longer needs speed limit, the temporary speed limit command can be manually cancelled.

[0057] In other embodiments, the temporary speed limit server can also automatically release the temporary speed limit. The temporary speed limit server issues a "release temporary speed limit" test task. After receiving the test task, the train determines whether the detection condition is met. If the condition is met, the unmanned single locomotive train exceeds the speed limit and drives through the speed limit area. The train feeds back the track environment detection result to the temporary speed limit server. The manned train strictly drives through the speed limit area at the speed limit and feeds back the detection result. After receiving N continuous safe responses, the temporary speed limit server combines the feedback results of the trains. If the threshold is exceeded, the temporary speed limit command is released. When feeding back the result, the result needs to be increased by a credibility coefficient according to the vehicle itself. The higher the speed, the higher the credibility. The heavier the load, the higher the credibility.

[0058] In some embodiments, the determination of whether the detection condition is met includes determining whether there is another train or a dangerous point within a set distance in front of the train. If there is not, the condition is met. The set distance includes a braking distance of N times the maximum speed.

[0059] For example, refer to FIG. 4, which is a working schematic diagram of the release of a temporary speed limit test task in the temporary speed limit generation method based on crowd-sourced perception according to an embodiment of the present application. The TSRS (temporary speed limit server) issues a track test task at 0 o'clock every day (configurable). The task is to cancel the temporary speed limit task. The test task indicates that the speed limit is due to weather. The train 1 is a single locomotive. The train is performing a cross-station shunting task. The driver (which can be a remote control driver) confirms that the train braking performance is good, the distance to the front station is far, the line is straight, and the surrounding weather is sunny. The driver decides to accept the test task. The vehicle drives through the speed limit area at a speed slightly exceeding the speed limit. After the vehicle reports the test result, the wheels do not slip, the TSRS accepts the test result. The next three trains accept the test task and feed back that the speed limit area is operating normally. The TSRS automatically sends a cancellation request to the dispatching device. After the dispatcher manually confirms that the cancellation condition is met, the dispatcher clicks to cancel the speed limit. The speed limit command is successfully canceled.

[0060] The embodiment further provides an electronic device including a processor and a memory. The memory stores a computer program. When the computer program is executed by the processor, the computer program implements the temporary speed limit generation method based on crowd-sourced perception according to any of the above embodiments.

[0061] The embodiment further provides a readable storage medium. The readable storage medium stores a computer program. When the computer program is executed by a processor, the computer program implements the temporary speed limit generation method based on crowd-sourced perception according to any of the above embodiments.

[0062] It should be noted that the apparatus and method disclosed in the embodiments herein can also be implemented in other ways. The apparatus embodiments described above are merely exemplary, and the schematic flowcharts and block diagrams in the accompanying drawings show possible implementation architectures, functions and operations of the apparatus, method and computer program product according to the embodiments herein. In this regard, each block in the flowcharts and block diagrams can represent a module, a program segment or a part of code which contains one or more executable instructions for implementing the specified logic function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can also be executed in reverse order, depending on the involved functions. It should also be noted that each block in the block diagrams and / or flowcharts, and the combination of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0063] In addition, each functional module in the embodiments herein can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0064] Although the present application has been described in detail through the preferred embodiments above, it should be recognized that the above description is not to be considered as limiting the present application. Various modifications and alterations to this application will be apparent to those skilled in the art upon reading the above description. It is intended that the scope of the application be defined by the following claims and their equivalents.

Claims

1. A method for generating temporary speed limit of train based on crowd sensing, characterized in that, The application comprises: Detecting the track environment based on crowd-sensing technology, and sending a speed limit request to a temporary speed limit server based on the detection result, wherein the speed limit request comprises a request speed limit area and a request speed limit value; The temporary speed limit server generates a temporary speed limit command based on the received speed limit request, and sends the temporary speed limit command to a train control center device or a wireless block center device in a jurisdictional range covering the request speed limit area, wherein the temporary speed limit command comprises a speed limit area and a speed limit value; The train control center device or the wireless block center device automatically issues the temporary speed limit command to a train entering the speed limit area. 2.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Detecting the track environment based on crowd-sensing technology, and sending a speed limit request to a temporary speed limit server based on the detection result, comprising: The train performs track wet and slippery detection, and sends a speed limit request to the temporary speed limit server through a wireless network when detecting that the train wheel is slipping. 3.The crowd-sourcing perception based temporary speed limit generation method of claim 2, wherein, The temporary speed limit server generates a temporary speed limit command based on the received speed limit request, comprising: The temporary speed limit server detects whether there is a corresponding speed limit command in the internal according to the speed limit request, if there is, checks: Whether the speed limit area corresponding to the existing speed limit command covers the request speed limit area; Whether the speed limit value corresponding to the existing speed limit command is lower than the request speed limit value; If the above conditions are not met, a temporary speed limit command is generated. 4.The crowd-sourcing perception based temporary speed limit method of claim 2, wherein, The step of obtaining the request speed limit area comprises: Based on the formula: Safety distance = slope × slope weighting coefficient + travel speed × speed weighting coefficient + train slip detection severity × slip weighting coefficient + train basic correction value Calculate the safety distance, wherein the slope of uphill is negative and the slope of downhill is positive; Obtain the request speed limit area, and the range of the request speed limit area is from the position of the safety distance before the train reports the slipping point to the position of the safety distance after the train reports the slipping point. 5.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Detecting the track environment based on crowd-sensing technology, and sending a speed limit request to a temporary speed limit server based on the detection result, comprising: The dispatching system triggers the unmanned aerial vehicle periodically, the unmanned aerial vehicle performs line inspection, and takes pictures of the line walking route, and compares the line walking route with the line stored locally in the unmanned aerial vehicle, when detecting inconsistency, sends an application to the dispatching system, applies for the temporary speed limit command information of the area where the line is inconsistent, if there is no temporary speed limit command, sends an alarm information to the dispatching system, and the dispatching system sends a speed limit request to the temporary speed limit server based on the alarm information. 6.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Detecting the track environment based on crowd-sensing technology, and sending a speed limit request to a temporary speed limit server based on the detection result, comprising: The rear vehicle periodically sends an application to the front vehicle based on vehicle-to-vehicle communication, and applies for the current position information and surrounding image information of the front vehicle, and the front vehicle sends the current position information and surrounding image information to the rear vehicle; The rear vehicle continues to move forward, reaches the position of the front vehicle or finds the position of the surrounding image sent by the front vehicle, compares the position and surrounding image of the front vehicle, and sends "multi-vehicle mutual verification error" to the temporary speed limit server when the surrounding image is found to be inconsistent or the position of the front vehicle is found to be inconsistent.

7. The crowd-sourcing-based train temporary speed limit generation method of claim 6, wherein, The temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including: When the temporary speed limit server receives "multi-car mutual verification error" information sent by more than N trains, the temporary speed limit server generates a temporary speed limit command, and the speed limit value of the temporary speed limit command is the minimum speed allowed on the corresponding line, and the speed limit area is the maximum range of different train reporting areas. 8.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Detect the track environment based on crowd sensing technology, and send a speed limit request to the temporary speed limit server based on the detection results, including: The train driver observes the surrounding environment based on his own knowledge, and when he finds that the surrounding environment is bad, he enters a speed limit request through the operation interface of the train automatic protection system or the train automatic operation system, and reports it to the temporary speed limit server through the train automatic protection system or the train automatic operation system. 9.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Detect the track environment based on crowd sensing technology, and send a speed limit request to the temporary speed limit server based on the detection results, including: Based on satellite remote sensing, the line is remotely sensed and photographed by a low revisit period and a software-defined radio satellite, a remote sensing image receiver receives, analyzes and processes the image, obtains a disaster analysis result, and sends a speed limit request to the temporary speed limit server based on the disaster analysis result. 10.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Also includes: When the artificial confirmation that the speed limit area no longer needs speed limit, the temporary speed limit command can be manually released.

11. The crowd-sourcing based train temporary speed limit generation method of claim 1, wherein, Also includes: The temporary speed limit server issues a "release temporary speed limit" test task, and after the train receives the test task, it judges whether it has detection conditions, if it has, the unmanned single locomotive exceeds the speed limit and drives through the speed limit area, and feeds back the track environment detection result to the temporary speed limit server, and the manned and carrying train strictly executes the speed limit and drives through the speed limit area, and feeds back the detection result; After the temporary speed limit server receives continuous N safety replies, combined with the feedback results of each train, if it exceeds the safety threshold, the temporary speed limit command is released. 12.The crowd-sourcing perception based temporary speed limit generation method of claim 11, wherein, The judgment of whether it has detection conditions includes: Determine whether there are other trains and dangerous points within a certain distance in front of the train, if not, it is available.

13. An electronic device, comprising: The processor and the memory, the memory stores a computer program, the computer program is executed by the processor, realizes the method of any one of claims 1-12.

14. A readable storage medium, characterized by, The readable storage medium stores a computer program, and the computer program is executed by the processor to realize the method of any one of claims 1-12.

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