A train temporary speed limit generation method based on crowd sensing

Abstract

This invention discloses a method, electronic device, and storage medium for generating temporary train speed limits based on crowdsourced sensing. The method includes: detecting the track environment using crowdsourced sensing technology; sending a speed limit request to a temporary speed limit server based on the detection results; the speed limit request including the requested speed limit area and the requested speed limit value; the temporary speed limit server generating a temporary speed limit command based on the received speed limit request and sending the temporary speed limit command to a train control center or radio block center covering the requested speed limit area; the temporary speed limit command including the speed limit area and the speed limit value; and the train control center or radio block center automatically issuing the temporary speed limit command to trains entering the speed limit area. This invention's technical solution can promptly detect and automatically propagate problems, avoiding human error in problem discovery and entry into the system.

Description

Technical Field

[0001] This invention relates to the field of railway rail transit technology, and in particular to a method for generating temporary train speed limits based on crowd intelligence perception, an electronic device, and a storage medium. Background Technology

[0002] Safety of the Intended Functionality (SOTIF) has become a hot research topic in automotive safety. SOTIF aims to mitigate unacceptable risks caused by insufficient intended functionality of a system (design deficiencies or performance limitations) or foreseeable human error. In the field of train safety, research on SOTIF is still in its infancy. Under harsh environments such as wind, rain, snow, track construction, and trackside faults, existing technologies require manual issuance of speed limits and human judgment on whether these limits should be enforced. In wind, rain, and snow conditions, protection relies heavily on manual commands.

[0003] Therefore, it is necessary to propose a method, electronic device and storage medium for generating temporary train speed limits based on collective intelligence perception, in order to solve the problem of relying on manual issuance of temporary speed limit commands in the existing technology. Summary of the Invention

[0004] The purpose of this invention is to provide a method, electronic device and storage medium for generating temporary speed limits for trains based on crowd intelligence perception, 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 objectives, the present invention provides a method for generating temporary train speed limits based on crowd intelligence perception, comprising:

[0006] The system detects the track environment based on swarm intelligence sensing technology and sends a speed limit request to a temporary speed limit server based on the detection results. The speed limit request includes the requested speed limit area and the requested speed limit value.

[0007] The temporary speed limiting server generates a temporary speed limiting command based on the received speed limiting request, and sends the temporary speed limiting command to the train control center equipment or radio block center equipment whose jurisdiction covers the requested speed limiting area. The temporary speed limiting command includes the speed limiting area and the speed limiting value.

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

[0009] Preferably, the system detects the track environment based on swarm intelligence sensing technology, and sends a speed limit request to a temporary speed limit server based on the detection results, including:

[0010] When the train is conducting track slippage detection, it sends a speed limit request to the temporary speed limit server via wireless network when the train wheels are detected to be spinning freely.

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

[0012] The temporary rate-limiting server checks whether a corresponding rate-limiting command exists internally based on the rate-limiting request. If it does, it checks:

[0013] Does the speed limit area corresponding to an existing speed limit command cover the requested speed limit area?

[0014] Is the speed limit value corresponding to an existing speed limit command lower than the requested speed limit value?

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

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

[0017] Based on the formula:

[0018] Safe distance = Gradient * Gradient weighting factor + Traveling speed * Speed ​​weighting factor + Train slippage detection severity * Slippage weighting factor + Basic train correction value

[0019] Calculate the safe distance, where the slope of an uphill slope is taken as a negative number and the slope of a downhill slope is taken as a positive number;

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

[0021] Preferably, the system detects the track environment based on swarm intelligence sensing technology, and sends a speed limit request to a temporary speed limit server based on the detection results, including:

[0022] The dispatch system periodically triggers the drone to perform route inspections, photographs the route, and compares the images with the route stored locally on the drone. When an inconsistency is detected, the drone sends a request to the dispatch system to obtain temporary speed limit command information for the area where the inconsistency occurs. If no temporary speed limit command exists, the drone sends an alarm message to the dispatch system, which then sends a speed limit request to the temporary speed limit server based on the alarm message.

[0023] Preferably, the system detects the track environment based on swarm intelligence sensing technology, and sends a speed limit request to a temporary speed limit server based on the detection results, including:

[0024] The following vehicle periodically sends a request to the preceding vehicle based on vehicle-to-vehicle communication, requesting to obtain the preceding vehicle's current location information and surrounding image information. The preceding vehicle then sends its current location information and surrounding image information to the following vehicle.

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

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

[0027] When the temporary speed limit server receives "multi-train mutual verification error" messages from 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 on the corresponding line, and the speed limit area is the maximum range of the reporting areas of different trains.

[0028] Preferably, the system detects the track environment based on swarm intelligence sensing technology, and sends a speed limit request to a temporary speed limit server based on the detection results, including:

[0029] Based on their own understanding, train drivers observe the surrounding environment. When they find the surrounding environment to be unfavorable, they enter a speed limit request through the operation interface of the automatic protection system or the automatic operation system, and report it to the temporary speed limit server through the automatic protection system or the automatic operation system.

[0030] Preferably, the system detects the track environment based on swarm intelligence sensing technology, and sends a speed limit request to a temporary speed limit server based on the detection results, including:

[0031] Based on satellite remote sensing, the line is photographed by a low revisit period, software-defined radio satellite. The remote sensing image receiver receives the images, analyzes and processes them to obtain disaster analysis results, and sends a rate limiting request to the temporary rate limiting server based on the disaster analysis results.

[0032] Preferably, it further includes:

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

[0034] Preferably, it further 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 they are met, the driverless single locomotive exceeds the speed limit and passes through the speed limit area, and reports the track environment detection results to the temporary speed limit server. Passenger and cargo trains strictly adhere to the speed limit when passing through the speed limit area and report the detection results.

[0036] After receiving N consecutive safety responses, the temporary speed limit server, in conjunction with the feedback from each train, will lift the temporary speed limit order if the safety threshold is exceeded.

[0037] Preferably, determining whether the detection conditions are met includes:

[0038] It can determine whether there are other trains or dangerous spots within a set distance ahead of the train. If not, it is considered to have this capability.

[0039] The present invention also provides an electronic device, including a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, it implements the train temporary speed limit generation method based on crowd intelligence perception as described in any one of the present invention.

[0040] The present invention also provides a readable storage medium storing a computer program, which, when executed by a processor, implements the train temporary speed limit generation method based on crowd intelligence perception as described in any one of the present invention.

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

[0042] This invention provides a method for generating temporary train speed limits based on crowdsourced sensing. It detects the train's track environment using crowdsourced sensing technology and sends speed limit requests to temporary speed limit service areas based on the detection results. This reduces the number and frequency of track inspection vehicles used. The train can perform self-inspection based on its own information or vehicle-to-vehicle communication. The train itself serves as both a transportation vehicle and a track environment inspection vehicle, eliminating the need for additional environmental detection systems. Existing automatic protection systems or automatic train operation systems can reuse speed and distance measurement data required for train control. The train can promptly detect problems without waiting for dedicated track inspections, shortening the detection cycle in harsh environments and saving on manual verification and data entry. Automatic problem detection and propagation avoid human error in problem discovery and data entry by operators. Furthermore, this invention achieves automatic integration of multi-channel information from crowdsourced sensing, further improving system security. Attached Figure Description

[0043] Figure 1 This is a flowchart illustrating a method for generating temporary train speed limits based on swarm intelligence perception, according to an embodiment of the present invention.

[0044] Figure 2 This is a schematic diagram illustrating the working principle of a train temporary speed limit generation method based on crowd intelligence perception according to an embodiment of the present invention.

[0045] Figure 3 This is a flowchart illustrating a method for generating temporary train speed limits based on swarm intelligence perception, according to an embodiment of the present invention.

[0046] Figure 4 This is a schematic diagram illustrating the operation of the temporary speed limit release test task in a train temporary speed limit generation method based on crowd intelligence perception according to an embodiment of the present invention. Detailed Implementation

[0047] The following detailed description, in conjunction with the accompanying drawings and specific embodiments, provides a further detailed explanation of the train temporary speed limit generation method, electronic device, and storage medium based on crowd-sensing. The advantages and features of the present invention will become clearer from the following description. It should be noted that the accompanying drawings are in a very simplified form and use non-precise proportions, used only to facilitate and clearly illustrate the embodiments of the present invention. Please refer to the accompanying drawings to make the objectives, features, and advantages of the present invention more apparent and understandable. It should be understood that the structures, proportions, sizes, etc., depicted in the accompanying drawings are only for illustrative purposes to aid those skilled in the art and are not intended to limit the implementation conditions of the present invention. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in proportions, or adjustments to the size, without affecting the effects and objectives achieved by the present invention, should still fall within the scope of the technical content disclosed in the present invention.

[0048] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0049] Please see Figure 1 , Figure 1 This is a flowchart illustrating a basic crowd-sensing method for generating temporary train speed limits according to an embodiment of the present invention, including:

[0050] Step S1: Detect the track environment based on swarm intelligence sensing technology, and send a speed limit request to the temporary speed limit server based on the detection results. The speed limit request includes the requested speed limit area and the requested speed limit value.

[0051] In step S1, the crowd sensing technology may include multiple sources of information such as the train itself, the train driver, drones, and satellite remote sensing. By automatically fusing multiple sources of information, the system’s security is improved.

[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 the Train Control Center (TCC) or Radio Block Center (RBC) equipment whose jurisdiction covers the requested speed restriction area. The temporary speed restriction command includes the speed restriction area and the speed restriction value.

[0053] Step S3: The train control center equipment or the wireless block center equipment automatically issues the temporary speed limit command to the train that has entered the speed limit area.

[0054] The present invention provides a method for generating temporary train speed limits based on crowdsourced sensing. This method allows trains to detect problems promptly without waiting for dedicated track inspections, shortening the detection cycle in harsh environments and saving on manual confirmation and data entry. Existing temporary speed limits are generated by dispatchers through a Centralized Traffic Control (CTC) system, sent to trackside train control equipment, and then to the train's onboard train control equipment. The technical solution in this embodiment uses crowdsourced sensing technology to detect the train's track. Based on the detection results, a speed limit request is sent to a temporary speed limit server. The temporary speed limit server generates and issues a temporary speed limit command based on the request, generating the command at the source, thus improving system security and eliminating the need for manual issuance.

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

[0056] When a train detects slippage on the track, it sends a speed limit request to a temporary speed limit server via a wireless network. In some embodiments, the train may also send a speed limit request containing slippage information to the onboard ATP (Automatic Train Protection) / ATO (Automatic Train Operation) devices of surrounding trains.

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

[0058] The above embodiments improve the system's safety factor. Trains can promptly detect problems based on their own conditions without waiting for specialized track inspections, shortening the detection cycle in harsh environments and saving on manual confirmation and data entry. In several serious accidents, equipment or drivers detected problems, but omissions occurred during information exchange with dispatch, and subsequent dispatch work also failed to address these omissions, preventing other trains from being aware of the safety warning information. The technical solution in this embodiment automatically detects and propagates problems, avoiding human error issues related to operators discovering and entering problems into the system.

[0059] For example, please see Figure 2 , Figure 2 This is a schematic diagram illustrating the working principle of a train temporary speed limit generation method based on crowdsourced sensing according to an embodiment of the present invention. Assume it snows on a certain day, but because the snowfall is not significant, no temporary speed limit order is issued by the dispatcher. The train itself detects slippage and brakes to a stop. The driver promptly reports this to the dispatcher via telephone. Due to negligence, the dispatcher fails to notify following trains of the situation ahead (or the drivers of the following trains forget about the speed limit ahead). However, using the technical solution of this embodiment, the train that detects the problem promptly sends a speed limit warning to the following trains, which then take measures to reduce their speed.

[0060] Simultaneously, the train automatically sends this information to the TSRS equipment. Based on the reported temporary speed limit, the TSRS automatically generates a temporary speed limit command. After identifying the TCC / RBC whose jurisdiction overlaps with this area, the TSRS sends the speed limit information to the relevant TCC / RBC. When the current train passes through the speed-limited area at a low speed, subsequent trains also pass through the speed-limited area at a low speed based on the speed limit warning issued by the preceding train. One day later, if the speed limit is not manually lifted, the TCC / RBC maintains the temporary speed limit. Each authorized train passing through this area receives the temporary speed limit information via transponder or wireless network, reduces its speed in advance, and safely passes through the danger zone.

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

[0062] The temporary rate-limiting server checks whether a corresponding rate-limiting command exists internally based on the rate-limiting request. If it does, it checks:

[0063] Does the speed limit area corresponding to an existing speed limit command cover the requested speed limit area?

[0064] Is the speed limit value corresponding to an existing speed limit command lower than the requested speed limit value?

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

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

[0067] Based on the formula:

[0068] Safe distance = Gradient * Gradient weighting factor + Traveling speed * Speed ​​weighting factor + Train slippage detection severity * Slippage weighting factor + Basic train correction value

[0069] Calculate the safe distance, where the slope of an uphill slope is taken as a negative number and the slope of a downhill slope is taken as a positive number;

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

[0071] In some embodiments, the vehicle 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 results, including:

[0072] The dispatch system periodically triggers the drone to perform route inspections, photographs the route, and compares the images with the route stored locally on the drone. When an inconsistency is detected, the drone sends a request to the dispatch system to obtain temporary speed limit command information for the area where the inconsistency occurs. If no temporary speed limit command exists, the drone sends an alarm message to the dispatch system, which then sends a speed limit request to the temporary speed limit server based on the alarm message.

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

[0074] The following vehicle periodically sends a request to the preceding vehicle based on vehicle-to-vehicle communication, requesting to obtain the preceding vehicle's current location information and surrounding image information. The preceding vehicle then sends its current location information and surrounding image information to the following vehicle.

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

[0076] In the above embodiments, when a temporary speed limit is formed, information from multiple trains is integrated, thus achieving the fusion of multiple train perception information.

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

[0078] When the temporary speed limit server receives "multi-train mutual verification error" messages from 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 on the corresponding line, and the speed limit area is the maximum range of the reporting areas of different trains.

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

[0080] Based on their own understanding, train drivers observe the surrounding environment. When they find the surrounding environment to be unfavorable, they enter a speed limit request through the operation interface of the automatic protection system or the automatic operation system, and report it to the temporary speed limit server through the automatic protection system or the automatic operation system.

[0081] For example, please see Figure 3 , Figure 3 This is a flowchart illustrating a method for generating temporary train speed limits based on crowdsourced sensing, according to an embodiment of the present invention. Assume a tunnel-prone area in western China experiences track deformation within the tunnel. After passing through the tunnel, a train driver notices severe vibration in the train. While notifying the dispatcher by phone according to existing procedures, the driver can further input temporary speed limit data through the DMI (Desktop Management Interface) interface, including the speed limit area, suggested speed limit value, and reason for the speed limit. The ATP / ATO device transmits this data to the TSRS device via a wireless network. The TSRS automatically identifies the relevant TCC / RBC based on the driver's reported location and issues the necessary instructions to the relevant TCC / RBC. The train driver then visually moves out of the danger zone at a low speed. Before the speed limit is lifted, all subsequent trains passing through this area will receive speed limit information from the TCC / RBC, thus reducing their speed in advance and passing through the area at a low speed.

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

[0083] Based on satellite remote sensing, the line is photographed by a low revisit period, software-defined radio satellite. The remote sensing image receiver receives the images, analyzes and processes them to obtain disaster analysis results, and sends a rate limiting request to a temporary rate limiting server based on the disaster analysis results.

[0084] In some embodiments, the train temporary speed limit generation method based on crowd-sensing further includes:

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

[0086] In other embodiments, the temporary speed limit can also be automatically lifted. 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 they are met, the driverless single locomotive exceeds the speed limit and passes through the speed limit area, and reports the track environment detection results to the temporary speed limit server. Passenger and cargo trains strictly adhere to the speed limit when passing through the speed limit area and report the detection results.

[0087] After receiving N consecutive safety responses, the temporary speed limit server, in conjunction with feedback from each train, will lift the temporary speed limit order if the safety threshold is exceeded. When providing feedback, a reliability coefficient needs to be added to the result based on the specific conditions of the vehicle; higher speeds and heavier loads also increase reliability.

[0088] In some embodiments, determining whether the detection conditions are met includes:

[0089] The system determines whether there are other trains or hazards within a predetermined distance ahead of the train. If none are found, the system is considered operational. The predetermined distance includes the braking distance of maximum speed * N.

[0090] For example, please see Figure 4 , Figure 4 This is a schematic diagram illustrating the operation of a temporary speed limit cancellation test task in a train temporary speed limit generation method based on crowdsourced sensing, according to an embodiment of the present invention. The TSRS (Temporary Speed ​​Limit Server) issues a track test task at 00:00 daily during off-peak hours (configurable). This task is to cancel a temporary speed limit. The test task specifies that the speed limit is due to weather conditions. Car 1 is a single-locomotive, currently performing a cross-station shunting task. The driver (who can be a remotely controlled driver) confirms that the train's braking performance is good, that the distance to the next station is far, the track is straight, and the surrounding weather is clear, and decides to accept the test task. The vehicle travels through the speed-limited area at a speed slightly exceeding the limit, reports the test results, and confirms that there was no wheel slippage. The TSRS accepts the test results. After three consecutive vehicles accept the test task and report that the speed-limited area is operating normally, the TSRS automatically sends a cancellation request to the dispatching equipment. After the dispatcher manually confirms that the cancellation conditions are met, they click to confirm the cancellation of the speed limit, and the speed limit command is successfully cancelled.

[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, it implements the train temporary speed limit generation method based on crowd intelligence perception as described in any of the above embodiments.

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

[0093] It should be noted that the apparatus and methods disclosed in the embodiments herein can also be implemented in other ways. The apparatus embodiments described above are merely illustrative; for example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments herein. In this regard, each block in a flowchart or block diagram may represent a module, program, or part of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram and / or flowchart, and combinations of blocks in block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system to perform the specified function or action, or can be implemented using a combination of dedicated hardware and computer instructions.

[0094] In addition, the functional modules in the various embodiments of this article 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.

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

Claims

1. A method for generating temporary speed limit of train based on crowd sensing, characterized in that, include: The train track environment is detected using swarm intelligence sensing technology, and a speed limit request is sent to a temporary speed limit server based on the detection results. The speed limit request includes the requested speed limit area and the requested speed limit value. The detection of the train track environment using swarm intelligence sensing technology includes: collecting multiple information sources from multiple sources to conduct collaborative detection of the train track environment. The multiple sources include the train itself, the train driver, drones, and satellite remote sensing. The temporary speed limiting server generates a temporary speed limiting command based on the received speed limiting request, and sends the temporary speed limiting command to the train control center equipment or radio block center equipment whose jurisdiction covers the requested speed limiting area. The temporary speed limiting command includes the speed limiting area and the speed limiting value. The train control center equipment or the wireless block center equipment automatically issues the temporary speed limit command to the train that has entered the speed limit area. The collaborative detection includes: When a train performs track slippage detection and its wheels are detected to be spinning freely, it sends a speed limit request to a temporary speed limit server via a wireless network. The step of obtaining the requested speed limit area includes: calculating the safe distance based on the formula: Safe Distance = Gradient * Gradient Weighting Coefficient + Traveling Speed ​​* Speed ​​Weighting Coefficient + Train Slippage Detection Severity * Slippage Weighting Coefficient + Basic Train Correction Value, where the gradient for uphill sections is negative and the gradient for downhill sections is positive; and obtaining the requested speed limit area, which extends from the safe distance before the train reports the slippage point to the safe distance after the train reports the slippage point. The dispatch system periodically triggers the drone to perform route inspection, photograph the route, and compare it with the route stored locally on the drone. When an inconsistency is detected, the drone sends a request to the dispatch system to obtain temporary speed limit command information for the area where the inconsistency occurs. If no temporary speed limit command exists, the drone sends an alarm message to the dispatch system, which then sends a speed limit request to the temporary speed limit server based on the alarm message. The following train periodically sends a request to the preceding train based on vehicle-to-vehicle communication, requesting to obtain the preceding train's current location information and surrounding image information. The preceding train sends its current location information and surrounding image information to the following train. The following train continues to move forward, and after reaching the position of the preceding train or finding the location of the surrounding image sent by the preceding train, it compares its position with the preceding train's position and surrounding image. For a determined position, if a mismatch is found in the surrounding image, or for a determined surrounding image, if a mismatch is found with the position of the preceding train, it sends a "multi-vehicle mutual verification error" to the temporary speed limit server. When the temporary speed limit server receives "multi-vehicle mutual verification error" information from 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 on the corresponding line, and the speed limit area is the maximum range of the areas reported by different trains. Based on their own understanding, train drivers observe the surrounding environment. When they find that the surrounding environment is unfavorable, they enter a speed limit request through the operation interface of the automatic protection system or the automatic operation system and report it to the temporary speed limit server through the automatic protection system or the automatic operation system. Based on satellite remote sensing, the line is remotely photographed by a low revisit period, software-defined radio satellite. The remote sensing image receiver receives the images, analyzes and processes them to obtain disaster analysis results, and sends a rate limiting request to a temporary rate limiting server based on the disaster analysis results. It 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 they are met, the driverless single locomotive exceeds the speed limit and passes through the speed limit area, and reports the track environment detection results to the temporary speed limit server. Passenger and freight trains strictly adhere to the speed limit when passing through the speed limit area and report the detection results. After receiving N consecutive safety responses, the temporary speed limit server combines the feedback results from each train. If the safety threshold is exceeded, the temporary speed limit command is lifted.

2. The method for generating temporary train speed limits based on crowd intelligence perception as described in claim 1, characterized in that, The temporary rate limiting server generates a temporary rate limiting command based on the received rate limiting request, including: The temporary rate-limiting server checks whether a corresponding rate-limiting command exists internally based on the rate-limiting request. If it does, it checks: Does the speed limit area corresponding to an existing speed limit command cover the requested speed limit area? Is the speed limit value corresponding to an existing speed limit command lower than the requested speed limit value? If the above conditions are not met, a temporary speed limit command will be generated. 3.The crowd-sourcing perception based temporary speed limit generation method of claim 1, wherein, Also includes: When it is manually confirmed that the speed limit area no longer requires speed limit, the temporary speed limit order can be manually lifted.

4. The method for generating temporary train speed limits based on crowd intelligence perception as described in claim 1, characterized in that, The determination of whether the detection conditions are met includes: It can determine whether there are other trains or dangerous spots within a set distance ahead of the train. If not, it is considered to have this capability.

5. An electronic device, comprising: It includes a processor and a memory, wherein the memory stores a computer program, which, when executed by the processor, implements the method of any one of claims 1 to 4.

6. A readable storage medium characterized by, The readable storage medium stores a computer program, which, when executed by a processor, implements the method of any one of claims 1 to 4.

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