Train temporary speed limit generation method based on crowd sensing

Abstract

The invention discloses a train temporary speed limit generation method based on crowd sensing, electronic equipment and a storage medium, and the method comprises the steps: detecting a driving track environment based on a crowd sensing technology, and sending a speed limit request to a temporary speed limit server based on a detection result, the speed limit request comprising a requested speed limit area and a requested 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 radio block center device of which the jurisdiction range covers the speed limit request area, and the temporary speed limit command comprises a speed limit area and a speed limit value; and the train control center equipment or the radio block center equipment automatically issues the temporary speed limit command to the train driving into the speed limit area. According to the technical scheme, problems can be found in time, automatically detected and automatically spread, and the problem that operators find the problems and cause man-made failure when the problems are input into a system is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of railway track transportation, and in particular to a method for generating a temporary train speed limit based on crowd intelligence perception, an electronic device and a storage medium. Background Art

[0002] Safety of the Intended Functionality (SOTIF) has become a hot research topic in the field of automotive safety. Safety of the intended function 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 safety of the intended function is still in its infancy. In harsh environments such as wind, rain, snow, line construction, and trackside faults, based on existing technologies, speed limits need to be issued manually, and it is manually determined whether speed limits need to be implemented. In terms of wind, rain, snow, and rain, protection mostly relies on manual instructions.

[0003] Therefore, it is necessary to propose a method for generating temporary train speed limit based on crowd intelligence perception, an electronic device and a storage medium to solve the problem of relying on manual temporary speed limit commands in the prior art. Summary of the invention

[0004] The purpose of the present invention is to provide a method for generating a temporary train speed limit based on crowd intelligence perception, an electronic device and a storage medium, so as to solve the problem of relying on manual issuance of temporary speed limit commands in the prior art.

[0005] To achieve the above object, the present invention provides a method for generating a temporary train speed limit based on crowd intelligence perception, comprising:

[0006] Detect the driving track environment based on the crowd sensing technology, and send a speed limit request to the temporary speed limit server based on the detection result, wherein the speed limit request includes a requested speed limit area and a requested speed limit value;

[0007] 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 whose jurisdiction covers the requested speed limit area, wherein the temporary speed limit command includes a speed limit area and a speed limit value;

[0008] The train control center equipment or the radio block center equipment automatically issues the temporary speed limit command to the train entering the speed limit area.

[0009] Preferably, the track environment is detected based on the crowd intelligence sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including:

[0010] The train performs track slippery detection. When it detects that the train wheels are idling and slipping, it sends a speed limit request to the temporary speed limit server through the wireless network.

[0011] Preferably, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including:

[0012] The temporary speed limit server detects whether there is a corresponding speed limit command inside according to the speed limit request, and if so, checks:

[0013] Whether the speed limit area corresponding to the existing speed limit command covers the requested speed limit area;

[0014] Whether the speed limit value corresponding to the existing speed limit command is lower than the requested speed limit value;

[0015] If the above conditions are not met, a temporary speed limit command is generated.

[0016] Preferably, the step of obtaining the requested speed limit area includes:

[0017] Based on the formula:

[0018] Safety distance = slope * slope weighting factor + driving speed * speed weighting factor + train slip detection severity * slip weighting factor + basic train correction value

[0019] Calculate the safety distance, where the uphill slope is a negative number and the downhill slope is a positive number;

[0020] The requested speed limit area is obtained, and the range of the requested speed limit area is from the position of the safe distance before the train reports the slip point to the position of the safe distance after the train reports the slip point.

[0021] Preferably, the track environment is detected based on the crowd intelligence sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including:

[0022] The dispatching system triggers the drone at a fixed time. The drone conducts line inspections, takes pictures of the line routes, and compares them with the routes stored locally by the drone. When inconsistencies are detected, an application is sent to the dispatching system to obtain temporary speed limit command information for the area where the line inconsistency is located. If no temporary speed limit command exists, an alarm message is sent to the dispatching system. Based on the alarm message, the dispatching system sends a speed limit request to the temporary speed limit server.

[0023] Preferably, the track environment is detected based on the crowd intelligence sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including:

[0024] Based on the vehicle-to-vehicle communication, the rear vehicle periodically sends a request to the front vehicle to obtain the current location information and surrounding image information of the front vehicle, and the front vehicle sends the current location information and surrounding image information to the rear vehicle;

[0025] The following vehicle continues to move forward. After reaching the position of the preceding vehicle or finding the position of the surrounding image sent by the preceding vehicle, the following vehicle compares the position and surrounding image with the preceding vehicle. For the determined position, when the surrounding image is found not to match, or for the determined surrounding image, when it is found not to match the position of the preceding vehicle, a "multi-vehicle mutual verification error" is sent to the temporary speed limit server.

[0026] Preferably, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including:

[0027] When the temporary speed limit server receives "multi-vehicle mutual verification error" information sent by more than N trains, the temporary speed limit server generates a temporary speed limit command. The speed limit value of the temporary speed limit command is the minimum speed allowed for the corresponding line, and the speed limit area is the maximum range of reporting areas of different trains.

[0028] Preferably, the track environment is detected based on the crowd intelligence sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including:

[0029] 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 it to the temporary speed limit server through the train automatic protection system or the train automatic operation system.

[0030] Preferably, the track environment is detected based on the crowd intelligence sensing technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including:

[0031] Based on satellite remote sensing, remote sensing photos of the line are taken through a low revisit period, software defined radio satellite, and the remote sensing image receiver receives the image, analyzes and processes the image, obtains the disaster analysis result, and sends a speed limit request to the temporary speed limit server based on the disaster analysis result.

[0032] Preferably, it also includes:

[0033] When it is manually confirmed that the speed limit area no longer requires speed limit, the temporary speed limit command can be manually released.

[0034] Preferably, it also includes:

[0035] The temporary speed limit server issues a "lift temporary speed limit" test task. After receiving the test task, the train determines whether the detection conditions are met. If so, the unmanned locomotive exceeds the speed limit and passes through the speed limit area, and the track environment detection result is fed back to the temporary speed limit server. The manned and cargo train strictly follows the speed limit and passes through the speed limit area, and the detection result is fed back.

[0036] After receiving N consecutive safety replies, the temporary speed limit server will remove the temporary speed limit command based on the feedback results of each train if the safety threshold is exceeded.

[0037] Preferably, the determining whether the detection condition is met includes:

[0038] Determine whether there are other trains and dangerous points within the set distance in front of the train. If not, it is available.

[0039] The present invention also provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, any method for generating a temporary train speed limit based on crowd intelligence perception provided by the present invention is implemented.

[0040] The present invention also provides a readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, any method for generating a temporary train speed limit based on crowd intelligence perception provided by the present invention is implemented.

[0041] Compared with the prior art, the technical solution of the present invention has the following beneficial effects:

[0042] The method for generating temporary speed limits for trains based on crowd intelligence perception provided by the present invention detects the train track environment through crowd intelligence perception technology, and sends a speed limit request to the temporary speed limit service area based on the detection results, thereby reducing the number and frequency of track detection vehicles used. The train can realize self-inspection based on its own information or vehicle-to-vehicle communication. The train itself is both a train that completes the transportation task and a train for detecting the track environment. There is no need to add an additional environmental detection system, and the existing speed and distance measurement data required by the train automatic protection system or the train automatic operation system for controlling the train can be reused; the train can find problems in time without waiting for special track detection, which can shorten the detection cycle of harsh environments and save the cycle of manual confirmation and entry. Problems are automatically detected and propagated to avoid the problem of human failure of operators in problem discovery and problem entry systems. In addition, this case realizes the automatic integration of multi-channel information of crowd intelligence perception, further improving the security of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a flow chart of a method for generating a temporary train speed limit based on crowd intelligence perception according to an embodiment of the present invention;

[0044] Figure 2 A schematic diagram of the working principle of a method for generating a temporary train speed limit based on crowd intelligence perception according to an embodiment of the present invention;

[0045] Figure 3 This is a flow chart of a method for generating a temporary train speed limit based on crowd intelligence perception according to an embodiment of the present invention;

[0046] Figure 4 The present invention is a schematic diagram of a working method for releasing a temporary speed limit test task in a method for generating a temporary train speed limit based on crowd intelligence perception according to an embodiment of the present invention. DETAILED DESCRIPTION

[0047] The following is a further detailed description of a method for generating temporary train speed limits based on group intelligence perception, an electronic device and a storage medium proposed by the present invention in combination with the accompanying drawings and specific embodiments. According to the following description, the advantages and features of the present invention will be clearer. It should be noted that the accompanying drawings are in a very simplified form and use non-precise proportions, which are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention. In order to make the purposes, features and advantages of the present invention more obvious and easy to understand, please refer to the accompanying drawings. It should be noted that the structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification for people familiar with this technology to understand and read, and are not used to limit the limiting conditions for the implementation of the present invention, so they have no technical substantive significance. Any structural modification, change in proportional relationship or adjustment of size, without affecting the effects that the present invention can produce and the purposes that can be achieved, should still fall within the scope of the technical content disclosed by the present invention.

[0048] It should be noted that, in this article, relational terms such as first and second, etc. 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 these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0049] See also Figure 1 , Figure 1 The present invention is a flowchart of a method for generating a temporary train speed limit based on basic crowd intelligence perception according to an embodiment of the present invention, including:

[0050] Step S1: Detect the driving track environment based on the crowd sensing technology, and send a speed limit request to the temporary speed limit server based on the detection result, wherein the speed limit request includes a requested speed limit area and a requested speed limit value;

[0051] In step S1, the crowd intelligence sensing technology may include multiple information such as the train itself, the train driver, the drone, and satellite remote sensing, and improve the safety of the system by automatically fusing multiple information;

[0052] 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 whose jurisdiction covers the requested speed restriction area, wherein the temporary speed restriction command includes a speed restriction area and a speed restriction value;

[0053] Step S3: the train control center equipment or the radio block center equipment automatically issues the temporary speed limit command to the train entering the speed limit area.

[0054] The method for generating temporary speed limit of train based on crowd intelligence perception provided by the present invention can detect problems in time without waiting for special track detection, shorten the detection cycle of harsh environment, and save the cycle of manual confirmation and input. The temporary speed limit of the prior art is generated by the dispatcher through the dispatching system (Centralized Traffic Control, abbreviated as CTC), sent to the trackside train control equipment, and then sent to the train on-board train control equipment. The technical solution of this embodiment detects the train running track based on crowd intelligence perception technology, sends a speed limit request to the temporary speed limit server based on the detection result, and the temporary speed limit server generates and issues a temporary speed limit command based on the speed limit request, and generates a temporary speed limit command at the source, which improves the safety of the system and does not need to be issued manually.

[0055] In some embodiments, the detecting the driving track environment based on the crowd intelligence sensing technology and sending a speed limit request to the temporary speed limit server based on the detection result includes:

[0056] The train performs track slip detection, and when it detects that the train wheels are spinning and slipping, it sends a speed limit request to the temporary speed limit server through the wireless network. In some embodiments, the speed limit request containing slip information can also be sent to the ATP (Automatic Train Protection, automatic train protection) / ATO (Automatic Train Operation, automatic train operation) equipment on the surrounding trains.

[0057] In the above embodiment, the number and frequency of track inspection vehicles are reduced, and the train can perform self-inspection based on its own information. The train itself is both a train that completes the function and an environmental monitoring train, and the train itself does not need to add an additional environmental monitoring system, and can reuse the existing speed and distance measurement data required by ATP / ATO vehicle control.

[0058] In the above embodiment, the safety factor of the system is improved. The train can find problems in time according to its own situation, without waiting for special track inspection, which can shorten the detection cycle in harsh environments and save the cycle of manual confirmation and entry. There have been many serious accidents on site. The equipment or the driver found the problem, but when exchanging information with the dispatcher, there was an omission, and the subsequent dispatch work was omitted, resulting in other trains being unable to know the safety warning information. The technical solution of this embodiment is that the equipment automatically detects the problem and automatically propagates the problem, avoiding the problem of human failure of the operator to find the problem and enter the problem into the system.

[0059] For example, see Figure 2 , Figure 2 The schematic diagram of the working principle of the method for generating a temporary speed limit for a train based on crowd intelligence perception according to an embodiment of the present invention is as follows. Assume that it snows on a certain day, but because the snow situation is not obvious, the dispatcher does not issue a temporary speed limit order. The train detects idling and slipping, and then the train brakes and stops. The driver promptly reports to the dispatcher through the dispatcher phone. The dispatcher neglects to inform the following train of the situation ahead (or the driver of the following train forgets that there is a speed limit ahead). However, by adopting the technical solution of this embodiment, the train that finds the problem sends a speed limit warning to the following train in time, and the following train takes speed reduction measures after receiving it.

[0060] At the same time, the train will also automatically send this information to the TSRS equipment. TSRS will automatically generate a temporary speed limit command based on the reported temporary speed limit. After TSRS identifies the TCC / RBC whose jurisdiction overlaps with this area, it will resend the speed limit information to the relevant TCC / RBC. The current train is passing through the speed limit area at a low speed, and the following train is also passing through the speed limit area at a low speed based on the speed limit alarm issued by the preceding train. After 1 day, the speed limit has not been manually cancelled, and the TCC / RBC still maintains the temporary speed limit. Each train authorized to pass through this area will reduce speed in advance after receiving the temporary speed limit information through the transponder or wireless network, and pass the dangerous area safely.

[0061] In some embodiments, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including:

[0062] The temporary speed limit server detects whether there is a corresponding speed limit command inside according to the speed limit request, and if so, checks:

[0063] Whether the speed limit area corresponding to the existing speed limit command covers the requested speed limit area;

[0064] Whether the speed limit value corresponding to the existing speed limit command is lower than the requested speed limit value;

[0065] If the above conditions are not met, a temporary speed limit command is generated.

[0066] In some embodiments, the step of obtaining the requested speed limit area includes:

[0067] Based on the formula:

[0068] Safety distance = slope * slope weighting factor + driving speed * speed weighting factor + train slip detection severity * slip weighting factor + basic train correction value

[0069] Calculate the safety distance, where the uphill slope is a negative number and the downhill slope is a positive number;

[0070] The requested speed limit area is: (train reported slip point - safety distance, train reported slip point + safety distance).

[0071] In some embodiments, the driving track environment is detected based on the crowd intelligence perception technology, and a speed limit request is sent to the temporary speed limit server based on the detection result, including:

[0072] The dispatching system triggers the drone at a fixed time. The drone conducts line inspections, takes pictures of the line routes, and compares them with the routes stored locally by the drone. When inconsistencies are detected, an application is sent to the dispatching system to obtain temporary speed limit command information for the area where the line inconsistency is located. If no temporary speed limit command exists, an alarm message is sent to the dispatching system. Based on the alarm message, the dispatching system sends a speed limit request to the temporary speed limit server.

[0073] In some embodiments, the detecting the driving track environment based on the crowd intelligence sensing technology and sending a speed limit request to the temporary speed limit server based on the detection result includes:

[0074] Based on the vehicle-to-vehicle communication, the rear vehicle periodically sends a request to the front vehicle to obtain the current location information and surrounding image information of the front vehicle, and the front vehicle sends the current location information and surrounding image information to the rear vehicle;

[0075] The following vehicle continues to move forward. After reaching the position of the preceding vehicle or finding the position of the surrounding image sent by the preceding vehicle, the following vehicle compares the position and surrounding image with the preceding vehicle. For the determined position, when the surrounding image is found not to match, or for the determined surrounding image, when it is found not to match the position of the preceding vehicle, a "multi-vehicle mutual verification error" is sent to the temporary speed limit server.

[0076] In the above embodiment, when forming a temporary speed limit, the information of multiple vehicles is integrated, thereby realizing the integration of perception information of multiple trains.

[0077] In some embodiments, the temporary speed limit server generates a temporary speed limit command based on the received speed limit request, including:

[0078] When the temporary speed limit server receives "multi-vehicle mutual verification error" information sent by more than N trains, the temporary speed limit server generates a temporary speed limit command. The speed limit value of the temporary speed limit command is the minimum speed allowed for the corresponding line, and the speed limit area is the maximum range of reporting areas of different trains.

[0079] In some embodiments, the detecting the driving track environment based on the crowd intelligence sensing technology and sending a speed limit request to the temporary speed limit server based on the detection result includes:

[0080] 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 it to the temporary speed limit server through the train automatic protection system or the train automatic operation system.

[0081] For example, see Figure 3 , Figure 3 This is a flow chart of a method for generating temporary speed limits for trains based on crowd intelligence perception according to an embodiment of the present invention. Assuming that there is a tunnel-prone area in the west, the track in the tunnel is deformed to a certain extent. After a train driver passes through the tunnel, he finds that the car body vibrates violently. While notifying the dispatcher by phone according to the existing process, he can further enter temporary speed limit data through the DMI (Desktop Management Interface) operation interface, including speed limit area, recommended speed limit value, and speed limit reason information. The ATP / ATO device sends this data to the TSRS device through the wireless network. The TSRS automatically identifies the relevant TCC / RBC based on the location reported by the driver, and sends it to the relevant TCC / RBC. The driver of this train visually 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 speed in advance and pass through this area at a low speed.

[0082] In some embodiments, the detecting the driving track environment based on the crowd intelligence sensing technology and sending a speed limit request to the temporary speed limit server based on the detection result includes:

[0083] Based on satellite remote sensing, remote sensing photos of the line are taken through low revisit period and software defined radio satellite, and the remote sensing image receiver receives the image, analyzes and processes the image, obtains the disaster analysis result, and sends a speed limit request to the temporary speed limit server based on the disaster analysis result.

[0084] In some embodiments, the method for generating a temporary train speed limit based on crowd intelligence perception further includes:

[0085] When it is manually confirmed that the speed limit area no longer requires speed limit, the temporary speed limit command can be manually released.

[0086] In other embodiments, it can also be automatically released. The temporary speed limit server issues a "release temporary speed limit" test task. After receiving the test task, the train determines whether the detection conditions are met. If so, the unmanned single-machine head exceeds the speed limit and passes through the speed limit area, and the driving track environment detection result is fed back to the temporary speed limit server. The manned and cargo train strictly implements the speed limit and passes through the speed limit area, and the detection result is fed back;

[0087] After receiving N consecutive safety replies, the temporary speed limit server will release the temporary speed limit command if the safety threshold is exceeded based on the feedback results of each train. When feeding back the results, it is necessary to add a credibility factor to the results based on the vehicle's own conditions. The higher the speed, the higher the credibility; the heavier the vehicle load, the higher the credibility.

[0088] In some embodiments, the determining whether the detection condition is met includes:

[0089] Determine whether there are other trains and dangerous points within the set distance in front of the train. If not, then it is available. The set distance includes: the braking distance of the maximum speed*N.

[0090] For example, see Figure 4 , Figure 4 The working diagram of releasing the temporary speed limit test task in the method for generating temporary speed limit of train based on crowd intelligence perception in one embodiment of the present invention is shown in Figure 1. TSRS (temporary speed limit server) publishes track test tasks at 0:00 every day during idle time (configurable). This task is to cancel the temporary speed limit task. The test task points out that the speed limit is caused by weather reasons. Car 1 is a single locomotive, which is performing cross-station shunting tasks. The driver (which can be a remote control driver) confirms that the train has good braking performance, is far from the station ahead, the line is straight, and the surrounding weather is clear, and decides to accept the test task. After the vehicle passes the speed limit area at a speed moderately exceeding the speed limit, it reports the test results. There is no wheel slippage, and TSRS accepts the test results. Three vehicles accept the test task in succession, and feedback that the speed limit area is running normally. TSRS automatically sends a cancellation request to the dispatching device. After the dispatcher manually confirms that the cancellation conditions are met, click to confirm the cancellation of the speed limit, and the speed limit command is successfully canceled.

[0091] This embodiment also provides an electronic device, including a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method for generating temporary train speed limit based on crowd intelligence perception described in any of the above embodiments is implemented.

[0092] This embodiment also provides a readable storage medium, in which a computer program is stored. When the computer program is executed by a processor, the method for generating a temporary train speed limit based on crowd intelligence perception described in any of the above embodiments is implemented.

[0093] It should be noted that the devices and methods disclosed in the embodiments of this article can also be implemented in other ways. The device implementation described above is only schematic. For example, the flowcharts and block diagrams in the accompanying drawings show the possible architecture, functions and operations of the devices, methods and computer program products according to multiple embodiments of this article. In this regard, each box in the flowchart or block diagram can represent a part of a module, program or code, and the module, program segment or part of the code contains one or more executable instructions for implementing the specified logical function, and the module, program segment or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented by a dedicated hardware-based system for performing a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0094] In addition, the functional modules in the various embodiments of this document may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

[0095] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A method for generating temporary train speed limit based on crowd intelligence perception, characterized in that: include: Detect the driving track environment based on the crowd sensing technology, and send a speed limit request to the temporary speed limit server based on the detection result, wherein the speed limit request includes a requested speed limit area and a requested 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 whose jurisdiction covers the requested speed limit area, wherein the temporary speed limit command includes a speed limit area and a speed limit value; The train control center equipment or the radio block center equipment automatically issues the temporary speed limit command to the train entering the speed limit area.

2. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: 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 results, including: The train performs track slippery detection. When it detects that the train wheels are idling and slipping, it sends a speed limit request to the temporary speed limit server through the wireless network.

3. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 2, characterized in that: 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 inside according to the speed limit request, and if so, checks: Whether the speed limit area corresponding to the existing speed limit command covers the requested speed limit area; Whether the speed limit value corresponding to the existing speed limit command is lower than the requested speed limit value; If the above conditions are not met, a temporary speed limit command is generated.

4. The method for temporary train speed limit based on crowd intelligence perception as claimed in claim 2, characterized in that: The step of obtaining the requested speed limit area includes: Based on the formula: Safety distance = slope * slope weighting factor + driving speed * speed weighting factor + train slip detection severity * slip weighting factor + basic train correction value Calculate the safety distance, where the uphill slope is a negative number and the downhill slope is a positive number; The requested speed limit area is obtained, where the range of the requested speed limit area is from a position of a safe distance before a train reported slip point to a position of a safe distance after a train reported slip point.

5. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: 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 results, including: The dispatching system triggers the drone at a fixed time. The drone conducts line inspections, takes pictures of the line routes, and compares them with the routes stored locally by the drone. When inconsistencies are detected, an application is sent to the dispatching system to obtain temporary speed limit command information for the area where the line inconsistency is located. If no temporary speed limit command exists, an alarm message is sent to the dispatching system. Based on the alarm message, the dispatching system sends a speed limit request to the temporary speed limit server.

6. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: 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 results, including: Based on the vehicle-to-vehicle communication, the rear vehicle periodically sends a request to the front vehicle to obtain the current location information and surrounding image information of the front vehicle, and the front vehicle sends the current location information and surrounding image information to the rear vehicle; The following vehicle continues to move forward. After reaching the position of the preceding vehicle or finding the position of the surrounding image sent by the preceding vehicle, the following vehicle compares the position and surrounding image with the preceding vehicle. For the determined position, when the surrounding image is found not to match, or for the determined surrounding image, when it is found not to match the position of the preceding vehicle, a "multi-vehicle mutual verification error" is sent to the temporary speed limit server.

7. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 6, characterized in that: 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-vehicle mutual verification error" information sent by more than N trains, the temporary speed limit server generates a temporary speed limit command. The speed limit value of the temporary speed limit command is the minimum speed allowed for the corresponding line, and the speed limit area is the maximum range of reporting areas of different trains.

8. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: 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 results, 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 it to the temporary speed limit server through the train automatic protection system or the train automatic operation system.

9. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: 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 results, including: Based on satellite remote sensing, remote sensing photos of the line are taken through low revisit period and software defined radio satellite, and the remote sensing image receiver receives the image, analyzes and processes the image, obtains the disaster analysis result, and sends a speed limit request to the temporary speed limit server based on the disaster analysis result.

10. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: Also includes: When it is manually confirmed that the speed limit area no longer requires speed limit, the temporary speed limit command can be manually released.

11. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 1, characterized in that: Also includes: The temporary speed limit server issues a "lift temporary speed limit" test task. After receiving the test task, the train determines whether the detection conditions are met. If so, the unmanned locomotive exceeds the speed limit and passes through the speed limit area, and the track environment detection results are fed back to the temporary speed limit server. The manned and cargo train strictly follows the speed limit and passes through the speed limit area, and the detection results are fed back. After receiving N consecutive safety replies, the temporary speed limit server will remove the temporary speed limit command based on the feedback results of each train if the safety threshold is exceeded.

12. The method for generating temporary train speed limit based on crowd intelligence perception according to claim 11, characterized in that: The determining whether the detection conditions are met includes: Determine whether there are other trains and dangerous points within the set distance in front of the train. If not, it is available.

13. An electronic device, characterized in that: The method comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the method according to any one of claims 1 to 12 is implemented.

14. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the method according to any one of claims 1 to 12 is implemented.

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