A long downhill safety prevention and control method, device, electronic equipment and system

Abstract

The application provides a long downhill slope safety prevention and control method, device, electronic equipment and system. The long downhill slope safety prevention and control method comprises the following steps: collecting registration information of a passing vehicle at a source early warning section before entering a long downhill slope section; identifying a stall risk level of the passing vehicle according to the registration information, wherein the stall risk level at least comprises a high risk; and warning that a high-risk vehicle has a safety hazard, or / and giving a detour suggestion to the high-risk vehicle to detour the long downhill slope section. The registration information of the vehicle is collected at the source early warning section before the long downhill slope section, and the high-risk vehicle is identified according to the registration information of the vehicle, the high-risk vehicle is warned or given a detour suggestion to detour the long downhill slope section, so that the number of dangerous vehicles passing through the long downhill slope section can be reduced, or the high-risk vehicle can be warned in advance, and the stall monitoring and safety inspection of the high-risk vehicle can be focused on subsequently, so that the long downhill slope accident probability can be effectively reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of traffic safety, and in particular to a long downhill safety prevention and control method, device, electronic equipment and system. BACKGROUND

[0002] Long downhill sections on expressways are prone to cause traffic accidents due to vehicle stalling. Therefore, how to prevent and control the safety of long downhill sections has become a key link to reduce traffic accidents. At present, in terms of safety prevention and control of long downhill sections, the driving state of vehicles passing through long downhill sections is mainly monitored, vehicle driving data collected by speed measurement portals is analyzed by a stalling model algorithm to determine whether the vehicle stalls, and a linkage warning device is prompted to stall and avoid danger when a stalled vehicle is detected. However, in this method, all warning devices are linked and triggered after the vehicle stalls. Once the vehicle stalls, it is difficult to reduce the vehicle speed to a safe driving value, and the effect of the warning device prompting the vehicle to slow down is limited. SUMMARY

[0003] The present application provides a long downhill safety prevention and control method, device, electronic equipment and system, which reduces the number of dangerous vehicles passing through long downhill sections, thereby effectively reducing the probability of long downhill accidents.

[0004] In a first aspect, the present application provides a long downhill safety prevention and control method, which comprises: collecting registration information of passing vehicles at a source warning section before entering a long downhill section; identifying the stalling risk level of the passing vehicles according to the registration information, wherein the stalling risk level at least includes high risk; warning that high-risk vehicles have safety hazards, or / and giving a detour suggestion to high-risk vehicles to detour the long downhill section.

[0005] In the above-mentioned scheme, by collecting the registration information of vehicles at the source warning section before the long downhill section, and identifying high-risk vehicles according to the registration information of vehicles, high-risk vehicles are warned or given a detour suggestion to detour the long downhill section, thereby reducing the number of dangerous vehicles passing through the long downhill section, or warning high-risk vehicles in advance, facilitating subsequent stalling monitoring and safety inspection of high-risk vehicles, thereby effectively reducing the probability of long downhill accidents.

[0006] In a specific embodiment, the long downhill slope safety prevention method further comprises: identifying whether there is a high-risk vehicle at a circle layer filtering road section after the source early warning road section; wherein the circle layer filtering road section is located before the long downhill slope road section; and warning the high-risk vehicle that has not exited the highway to exit the highway from a highway exit ramp of the circle layer filtering road section. By identifying whether there is a high-risk vehicle at the circle layer filtering road section after the source early warning road section, and warning the high-risk vehicle that has not exited the highway to exit the highway from the highway exit ramp of the circle layer filtering road section, the missing detection phenomenon of the source early warning road section is improved, the number of dangerous vehicles passing through the long downhill slope road section is further reduced, and the probability of long downhill slope accidents is further reduced.

[0007] In a specific embodiment, identifying whether there is a high-risk vehicle at the circle layer filtering road section after the source early warning road section comprises: capturing license plate numbers of passing vehicles at the circle layer filtering road section; comparing the captured license plate numbers with license plate numbers of high-risk vehicles identified at the source early warning road section to screen out high-risk vehicles that have not exited the highway at the source early warning road section. This facilitates quick identification of high-risk vehicles that have not exited the highway at the source early warning road section.

[0008] In a specific embodiment, identifying whether there is a high-risk vehicle at the circle layer filtering road section after the source early warning road section comprises: capturing license plate numbers of passing vehicles at the circle layer filtering road section; comparing the captured license plate numbers with license plate numbers of high-risk vehicles identified at the source early warning road section to screen out high-risk vehicles that have not exited the highway at the source early warning road section. This facilitates quick identification of high-risk vehicles that have not exited the highway at the source early warning road section.

[0009] In a specific embodiment, the stall risk level further at least includes a medium risk. The long downhill slope safety prevention and control method further includes: identifying the high-risk vehicle that has not driven off after the circle layer filtering road section; and warning the high-risk vehicle and the medium-risk vehicle to conduct a safety check before entering the long downhill slope road section. The high-risk vehicle that has not driven off at high speed is screened again at the precise control road section before the long downhill slope road section, and the high-risk vehicle and the medium-risk vehicle are warned to conduct a safety check before entering the long downhill slope road section, which effectively helps the traffic police user to find the high-risk vehicle and conduct precise control, so as to achieve the effect of not missing the control and effectively controlling.

[0010] In a specific embodiment, identifying the stall risk level of the passing vehicle includes: identifying whether the passing vehicle passes through the long downhill slope road section according to the destination information. If the passing vehicle passes through the long downhill slope road section, identifying whether the passing vehicle that belongs to the three-axle and above truck satisfies any one of the following conditions according to the passing vehicle information, the driver information and the carried goods information: carrying dangerous chemicals, carrying non-dissociable oversize goods, carrying heavy machinery, carrying construction equipment without being tied according to the regulation, the driver being overdue for examination, the vehicle being overdue for annual inspection, being saved in the high-risk database; if any one of the above conditions is satisfied, identifying the passing vehicle as the high-risk vehicle. If the passing vehicle does not belong to the high-risk vehicle, but satisfies any one of the following conditions: the vehicle that passes through the long downhill slope road section for the first time, the driver with a driving age of less than 3 years and passing through the long downhill slope road section less than 2 times, the vehicle with a service life of more than 8 years, identifying the passing vehicle as the medium-risk vehicle. If the passing vehicle does not belong to the high-risk vehicle and the medium-risk vehicle, identifying the passing vehicle as the low-risk vehicle. The accuracy of classifying the stall risk level of different vehicles is improved.

[0011] In a second aspect, the present application further provides a long downhill slope safety prevention and control device, which includes a registration module, a first identification module and a first warning information generation module. The registration module is used to collect registration information of a passing vehicle at a source warning road section before entering a long downhill slope road section. The first identification module is used to identify a stall risk level of the passing vehicle according to the registration information, wherein the stall risk level includes a high risk. The first warning information generation module is used to generate warning information that a high-risk vehicle has a safety hidden danger, or / and gives a detour suggestion of detouring the long downhill slope road section to the high-risk vehicle.

[0012] In the above scheme, the registration information of the vehicle is collected at the source warning road section before the long downhill slope road section, and the high-risk vehicle is identified according to the registration information of the vehicle, so that the high-risk vehicle is warned or given a detour suggestion of detouring the long downhill slope road section, thereby reducing the number of dangerous vehicles passing through the long downhill slope road section, or warning the high-risk vehicle in advance, facilitating subsequent stall monitoring and safety check of the high-risk vehicle, so as to effectively reduce the probability of long downhill slope accidents.

[0013] In a specific embodiment, the stall risk level further at least includes a medium risk. The long downhill slope safety prevention and control device further comprises a second identification module, a second early warning information generation module, a third identification module and a third early warning information generation module.

[0014] The second identification module is configured to identify whether there is a high-risk vehicle on the circle filtering road section after the source early warning road section; the circle filtering road section is located before the long downhill slope road section; the second identification module is further configured to compare the license plate numbers of the passing vehicles captured on the circle filtering road section with the license plate numbers of the high-risk vehicles identified on the source early warning road section, and screen out high-risk vehicles that are identified as high-risk vehicles on the source early warning road section but have not driven away; the second identification module is further configured to compare the license plate numbers of the passing vehicles captured on the circle filtering road section with the license plate numbers of the vehicles with stall risk levels identified on the source early warning road section, and screen out first target vehicles that are identified as high-risk vehicles on the source early warning road section and second target vehicles that are not identified as having stall risk levels; the second identification module is further configured to identify the stall risk levels of the first target vehicles and the second target vehicles according to the collected vehicle information of the first target vehicles and the second target vehicles, review whether the first target vehicles need to be changed to high-risk vehicles, and confirm whether there are high-risk vehicles in the second target vehicles. The second early warning information generation module is configured to generate early warning information for the high-risk vehicles identified by the second identification module to drive away from the circle filtering road section.

[0015] The third identification module is configured to identify high-risk vehicles and medium-risk vehicles that have not driven away on the precise control road section after the circle filtering road section; the precise control road section is located before the long downhill slope road section. The third early warning information generation module is configured to generate early warning information for the high-risk vehicles and the medium-risk vehicles identified by the third identification module to perform safety checks before entering the long downhill slope road section.

[0016] The first identification module and the second identification module each comprise a stall risk identification module, which comprises a judgment module, a high-risk identification module, a medium-risk identification module, and a low-risk identification module. The judgment module is configured to identify whether the passing vehicle passes through a long downhill road section according to destination information of the passing vehicle. The high-risk identification module is configured to, when the judgment module determines that the passing vehicle passes through the long downhill road section, identify whether the passing vehicle that belongs to a three-axle or more truck satisfies any one of the following conditions according to passing vehicle information, driver information, and carried cargo information: carrying dangerous chemicals, carrying non-dissociative oversized cargo, carrying heavy machinery, carrying construction equipment without being tied according to regulations, the driver being overdue for examination, the vehicle being overdue for annual inspection, and being stored in a high-risk database; and identify the passing vehicle as a high-risk vehicle when any one of the above conditions is satisfied. The medium-risk identification module is configured to, when the high-risk identification module identifies that the passing vehicle does not belong to a high-risk vehicle, determine whether the passing vehicle satisfies any one of the following conditions: the vehicle is passing through the long downhill road section for the first time, the driver has a driving age of less than 3 years and has passed through the long downhill road section less than 2 times, and the vehicle has a service life of more than 8 years; and identify the passing vehicle as a medium-risk vehicle when any one of the above conditions is satisfied. The low-risk identification module is configured to, when the high-risk identification module and the medium-risk identification module determine that the passing vehicle does not belong to a high-risk vehicle and a medium-risk vehicle, identify the passing vehicle as a low-risk vehicle.

[0017] In a third aspect, the present application further provides an electronic device, which comprises at least one processor and a memory connected with the at least one processor. The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform any one of the long downhill safety prevention and control methods.

[0018] In a fourth aspect, the present application further provides a long downhill safety prevention and control system, which comprises the electronic device described above, and further comprises a snapshot device and a vehicle information acquisition device arranged at a circle filtering road section. The circle filtering road section is located between a source early warning road section and a long downhill road section. The snapshot device is configured to capture license plate numbers of passing vehicles at the circle filtering road section. The vehicle information acquisition device is configured to acquire vehicle information of a first target vehicle that is not identified as a high-risk vehicle at the source early warning road section, and further configured to acquire vehicle information of a second target vehicle that is not identified as a stall risk level at the source early warning road section.

[0019] In a specific embodiment, the system further comprises a first early warning device arranged at the source early warning road section, which is configured to play early warning information that a high-risk vehicle has a stall safety hazard, and / or give a detour suggestion to the high-risk vehicle to detour the long downhill road section.

[0020] In a specific embodiment, the system further comprises a second early warning device arranged at the circle filtering section, the second early warning device being configured to play the early warning information that the high-risk vehicle identified by the second identification module leaves the circle filtering section.

[0021] In a specific embodiment, the system further comprises a third early warning device arranged at the precise control section, the precise control section being located between the circle filtering section and the long downhill section, the third early warning device being configured to play the early warning information that the high-risk vehicle and the medium-risk vehicle identified by the third identification module are subjected to safety inspection before entering the long downhill section. BRIEF DESCRIPTION OF DRAWINGS

[0022] Figure 1 A flowchart of a long downhill safety prevention and control method provided for an embodiment of the present application;

[0023] Figure 2 A flowchart of another long downhill safety prevention and control method provided for an embodiment of the present application;

[0024] Figure 3 A traffic state schematic diagram of the long downhill section and the previous section provided for an embodiment of the present application;

[0025] Figure 4 A traffic state schematic diagram of the circle filtering section provided for an embodiment of the present application;

[0026] Figure 5 A flowchart of another long downhill safety prevention and control method provided for an embodiment of the present application

[0027] Figure 6 A flowchart of another long downhill safety prevention and control method provided for an embodiment of the present application;

[0028] Figure 7 A flowchart of another long downhill safety prevention and control method provided for an embodiment of the present application;

[0029] Figure 8 A traffic state schematic diagram of the long downhill section provided for an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to make the objectives, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described below in connection with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0031] For the convenience of understanding the long downhill safety prevention method provided by the embodiments of the present application, the application scenario of the long downhill safety prevention method provided by the embodiments of the present application is first described below, and the long downhill safety prevention method is applied to the safety prevention process of a long downhill road section. The long downhill safety prevention method is described in detail below with reference to the accompanying drawings.

[0032] Reference Figure 1 The long downhill safety prevention method provided by the embodiments of the present application comprises:

[0033] Step 10: Collecting registration information of passing vehicles at a source early warning section before entering the long downhill road section;

[0034] Step 20: Identifying the stall risk level of the passing vehicles according to the registration information, wherein the stall risk level at least comprises a high risk;

[0035] Step 30: Warning that the high-risk vehicles have safety hazards, or / and giving a detour recommendation to the high-risk vehicles to detour the long downhill road section.

[0036] In the above scheme, the registration information of the vehicles is collected at the source early warning section before entering the long downhill road section, and the high-risk vehicles are identified according to the registration information of the vehicles, and the high-risk vehicles are warned or given a detour recommendation to detour the long downhill road section, so as to reduce the number of dangerous vehicles passing through the long downhill road section, or to warn the high-risk vehicles in advance, so as to facilitate subsequent stall monitoring and safety inspection of the high-risk vehicles, thereby effectively reducing the probability of long downhill accidents. Each of the above steps is described in detail below with reference to the accompanying drawings.

[0037] First, reference Figure 1 , Figure 2 and Figure 3 Collect the registration information of passing vehicles at a source early warning section before entering the long downhill road section. For example, collecting the registration information of passing vehicles at a source early warning section before entering the long downhill road section can include but is not limited to: passing vehicle information, driver information, destination information, and carried goods information. Therefore, when identifying the stall risk level of the vehicles, the stall risk level of the vehicles can be more accurately identified by considering the vehicle, the driver, the destination, and the carried goods information comprehensively.

[0038] In specific implementation, reference Figure 3The truck code scanning passing mechanism can be set up at the highway toll station, provincial boundary inspection station and service area of the long downhill road section of all possible routes by using the highway closed road attribute. All passing vehicles are required to pass through the WeChat applet to scan the code and fill in the passing vehicle information, driver information, destination information and carried goods information. In addition, before the driver scans the code and fills in the information, the applet can be set to first pop up a window to play a safety propaganda video of the location information of the long downhill road section and the driving requirements.

[0039] Next, according to the registration information, the stall risk level of the passing vehicle is identified with reference to Figure 1 , Figure 2 and Figure 3 . The stall risk level at least includes high risk, i.e., high-risk vehicles are identified from the passing vehicles of the source early warning road section. Of course, it needs to be understood that the stall risk level can include other grades in addition to the high risk grade. For example, the stall risk level can also include medium risk, i.e., medium-risk vehicles can also be identified from the passing vehicles of the source early warning road section. The stall risk level can also include low risk, i.e., low-risk vehicles can also be identified from the passing vehicles of the source early warning road section. When the stall risk level includes three risk levels of high risk, medium risk and low risk, the above-mentioned mode can divide different vehicles into at least high-risk vehicles, medium-risk vehicles and low-risk vehicles according to the registration information of different passing vehicles. Specifically, different vehicles can be identified as vehicles of different stall risk levels by comprehensively considering the vehicle condition, the driver state and the carried goods situation.

[0040] For example, in identifying the speed loss risk level of the passing vehicle according to the registration information, the destination information can be used to identify whether the passing vehicle passes through a long downhill section. If the passing vehicle does not pass through a long downhill section, there is no need to divide the speed loss risk level. If the passing vehicle passes through a long downhill section, it can be further identified whether it is a high-risk vehicle. Specifically, according to the passing vehicle information, the driver information and the cargo information, it can be identified whether the passing vehicle belonging to a three-axle or more truck satisfies any of the following conditions: carrying dangerous chemicals, carrying non-dissociable oversized cargo, carrying heavy machinery, carrying construction equipment without being tied according to regulations, the driver has not been inspected for more than a certain period of time, the vehicle has not been inspected for more than a certain period of time, and is saved in a high-risk database. If any of the above conditions is met, the passing vehicle is identified as a high-risk vehicle, otherwise, the passing vehicle is identified as not belonging to a high-risk vehicle. If the passing vehicle does not belong to a high-risk vehicle, but satisfies any of the following conditions: the vehicle passes through a long downhill section for the first time, the driver has a driving age of less than 3 years and passes through a long downhill section less than 2 times, the vehicle has a service life of more than 8 years, the passing vehicle is identified as a medium-risk vehicle. Otherwise, the passing vehicle is identified as not belonging to a medium-risk vehicle. If the passing vehicle does not belong to a high-risk vehicle or a medium-risk vehicle, the passing vehicle is identified as a low-risk vehicle. Through the above identification method, the accuracy of dividing the speed loss risk level of different vehicles can be improved.

[0041] In addition, as shown in Figure 2 After dividing different vehicles into different speed loss risk levels, the vehicle passing code with different colors can be assigned to the passing vehicle according to the speed loss risk level of the passing vehicle, and the vehicle passing code is fed back to the corresponding vehicle, improving the visualization effect of different speed loss risk levels, and facilitating the driver to quickly understand the risk level of the vehicle he drives. For example, when the speed loss risk level includes three risk levels of high risk, medium risk and low risk, the speed loss risk level of the vehicle can be marked with red, yellow and green color codes. Specifically, a red code can be assigned to a high-risk vehicle, and the corresponding high-risk vehicle is a red code vehicle; a yellow code can be assigned to a medium-risk vehicle, and the corresponding medium-risk vehicle is a yellow code vehicle; a green code can be assigned to a low-risk vehicle, and the corresponding low-risk vehicle is a green code vehicle. After dividing the speed loss risk level and assigning the corresponding vehicle passing code, the vehicle passing code is fed back to the driver, and the driver can see the current vehicle passing code state on the WeChat applet interface of the mobile phone. At the same time, the vehicle passing code information can be updated and stored in the database and uploaded to the traffic center command platform, facilitating remote monitoring by the traffic police. It should be understood that the assignment of vehicle passing codes with different colors to vehicles with different speed loss risk levels is not limited to the red, yellow and green code method shown above, and other methods can also be used.

[0042] After identifying the high-risk vehicle, the next step is to refer to Figure 1, the high-risk vehicle is warned of safety hazards, or / and, the high-risk vehicle is given a detour recommendation for detouring the long downhill road section, the driver is prompted to detour away from the long downhill road section, and a detour scheme is given, so as to reduce the number of dangerous vehicles passing through the long downhill road section, or to give an early warning to the high-risk vehicle, facilitating subsequent speed monitoring and safety inspection of the high-risk vehicle, thereby effectively reducing the probability of long downhill accidents. In specific implementation, the high-risk vehicle can be warned by the first warning information generation module and the first warning device. The first warning information generation module is used to generate warning information that the high-risk vehicle has safety hazards, and / or is used to generate warning information that the high-risk vehicle is given a detour recommendation for detouring the long downhill road section. The first warning device can be arranged at the source warning road section and is in communication connection with the first warning information generation module, receives the warning information generated by the first warning information generation module, and plays the warning information that the high-risk vehicle has safety hazards and / or the warning information that the high-risk vehicle is given a detour recommendation for detouring the long downhill road section, to inform the high-risk vehicle. The first warning device can be an induction display screen, a loudspeaker, or / and a warning light arranged at the source warning road section.

[0043] In addition, with reference to Figure 3 and Figure 4 , the high-risk vehicle that has not left can also be identified at the circle filtering road section after the source warning road section, wherein the circle filtering road section is located before the long downhill road section; then, the high-risk vehicle identified is warned to leave the highway from the exit ramp of the circle filtering road section. By identifying whether there is a high-risk vehicle that has not left at the circle filtering road section after the source warning road section, and warning the high-risk vehicle that has not left to leave the highway from the exit ramp of the circle filtering road section when the high-risk vehicle that has not left is identified, the missing detection phenomenon of the source warning road section is improved, the number of dangerous vehicles passing through the long downhill road section is further reduced, and the probability of long downhill accidents is further reduced. With reference to Figure 4 , the range of the two nearest highway toll stations (the last two toll station exits where vehicles can leave the highway before passing through the long downhill road section) before the long downhill road section can be designated as the circle filtering road section.

[0044] When the circle filtering road section after the source warning road section identifies whether there is a high-risk vehicle that has not left, with reference to Figure 4 and Figure 5The license plate number of the passing vehicle on the circle filtering section can be captured first, and the capture device arranged on the circle filtering section can be used for capturing, which can be a speed measurement port system arranged at the front end of the circle filtering section, capturing the driving vehicle on the circle filtering section, and obtaining the license plate number of the passing vehicle. Then, the captured license plate number is compared with the license plate number of the high-risk vehicle identified on the source early warning section, and the high-risk vehicle that is identified as a high-risk vehicle on the source early warning section but has not driven off is screened out. When the high-risk vehicle is a red code vehicle, the red code vehicle that is identified as a red code vehicle on the source early warning section but has not driven off the highway on the source early warning section is screened out. This facilitates rapid identification of high-risk vehicles that have been identified on the source early warning section but have not driven off the highway.

[0045] In addition, in the process of identifying whether there is a high-risk vehicle that has not driven off the highway on the circle filtering section after the source early warning section, the following is referred to Figure 4 and Figure 5 After capturing the license plate number of the passing vehicle on the circle filtering section, the captured license plate number on the circle filtering section can be further compared with the license plate number of the medium-risk and low-risk vehicles identified on the source early warning section, and the first target vehicle identified as a high-risk vehicle on the source early warning section and the second target vehicle not identified as a speed risk level are screened out. The first target vehicle is a vehicle identified as a speed risk level on the source early warning section, but the speed risk level identified on the source early warning section is a risk level other than a high-risk level, for example, when the speed risk level includes medium-risk and low-risk, the first target vehicle can be a medium-risk vehicle or a low-risk vehicle. The second target vehicle is a vehicle that is not identified as a speed risk level on the source early warning section due to missed detection or other reasons. When different speed risk levels are assigned to vehicles, the second target vehicle will not have a vehicle pass code due to missed detection or other reasons.

[0046] After identifying the first target vehicle and the second target vehicle, the vehicle information of the first target vehicle and the second target vehicle can be further collected. Referring to Figure 4 and Figure 5, specifically, the vehicle information collection device can be a laser detection unit and an AI intelligent camera, which are arranged on the circle layer filtering road section, and further collect the vehicle axle number, vehicle type and carried goods type of the passing vehicle on the circle layer filtering road section, and capture and detect the driving vehicle on the road section to identify the vehicle axle number, vehicle type and carried goods type of the passing vehicle. Then, the stall risk level of the first target vehicle and the second target vehicle is identified according to the collected vehicle information. Specifically, the stall risk level of the first target vehicle and the second target vehicle can be identified according to the collected vehicle axle number, vehicle type and carried goods type of the passing vehicle by using the method described above. Then, it is reviewed whether the first target vehicle needs to be changed to a high-risk vehicle, and it is confirmed whether there is a high-risk vehicle in the second target vehicle. Specifically, if the vehicle is identified as a high-risk vehicle according to the identified vehicle axle number, vehicle type and carried goods type, but is identified as a low-risk vehicle or a medium-risk vehicle in the source early warning road section, it means that the review result is inconsistent with the stall risk level before. When there is a step of assigning a vehicle pass code, it means that the review result is inconsistent with the vehicle pass code information assigned by the source early warning road section, so it is determined that the vehicle pass code is not matched. The vehicle pass code state needs to be changed, for example, the green code needs to be changed to the red code. For the second target vehicle which is not identified as a stall risk level in the source early warning road section, the stall risk level classification can be performed according to the collected vehicle information of the second target vehicle according to the stall risk level classification rule described above, to determine whether to identify it as a high-risk vehicle. When the stall risk level also includes medium risk and low risk, it can also further identify whether the second target vehicle is identified as a medium-risk vehicle or a low-risk vehicle. By screening the passing vehicles missed by the source early warning road section in the circle layer filtering road section, and re-identifying whether there is a high-risk vehicle, the probability of finding a high-risk vehicle before a long downhill road section is improved, the number of dangerous vehicles passing through a long downhill road section is further reduced, and the probability of long downhill accidents is further reduced.

[0047] After identifying the high-risk vehicle on the circle layer filtering road section, a warning can be given to the high-risk vehicle identified on the circle layer filtering road section to exit the highway from the high-speed exit ramp of the circle layer filtering road section. Specifically, this can be achieved through a second warning information generation module and a second warning device. The second warning information generation module is used to generate warning information for the high-risk vehicle identified on the circle layer filtering road section to exit the circle layer filtering road section. The second warning device is installed on the circle layer filtering road section and is communicatively connected to the second warning information generation module to receive the warning information generated by the second warning information generation module and play the warning information for the high-risk vehicle identified on the circle layer filtering road section to exit the circle layer filtering road section. Similarly, the second warning device can use an induction display screen, a loudspeaker, or / and a warning light installed on the circle layer filtering road section. For example, the text information of the high-risk vehicle exiting the highway can be displayed on the induction display screen in front of the circle layer filtering road section, and the loudspeaker and warning light can be activated simultaneously to accurately prompt the high-risk vehicle to exit the highway from the front high-speed exit ramp and take the long downhill road section. The induction display screen displays the license plate number and exit prompt information, and the loudspeaker plays the license plate number and exit prompt information. The interval between the vehicle snapshot device, the vehicle information collection device, and the second warning device on the circle layer filtering road section is about 3 km, and the distance between the second warning device and the high-speed exit ramp is also about 3 km. It is necessary to ensure that the vehicle can be captured and analyzed, and the vehicle can see the prompt information when it reaches the second warning device, and the driver has enough reaction time to exit the highway from the front high-speed exit ramp. By actively discovering and automatically prompting the high-risk vehicle to exit the highway and take the long downhill road section, the number of high-risk vehicles on the long downhill road section is reduced, and the risk of accidents is reduced. The above scheme filters the passing vehicles that are missed by the source warning road section on the circle layer filtering road section, and further identifies whether the low-risk vehicles and the missed vehicles without a risk level are high-risk vehicles, thereby increasing the probability of discovering high-risk vehicles before the long downhill road section, further reducing the number of dangerous vehicles on the long downhill road section, and further reducing the probability of long downhill accidents.

[0048] Furthermore, with reference to Figure 3 , Figure 6 and Figure 7 , the long downhill safety control method can further include: re-identifying whether there are high-risk vehicles that have not exited on a precise control road section after the circle layer filtering road section, wherein the precise control road section is located before the long downhill road section. Then, warning the high-risk vehicles and the medium-risk vehicles to perform safety checks before entering the long downhill road section. By re-selecting the high-risk vehicles that have not exited the highway on the precise control road section before the long downhill road section and warning the high-risk vehicles and the medium-risk vehicles to perform safety checks before entering the long downhill road section, the police user can effectively discover high-risk vehicles and perform precise control, achieving the effect of not missing the control and effective control. In implementation, reference can be made toFigure 3 The precisely controlled road section is located between the ring-shaped filtering road section and the long downhill road section. The vehicle capture equipment in the precisely controlled road section can be located about 3km away from the safety checkpoint.

[0049] In precisely controlled road sections, vehicles that do not exit the highway after passing through the tiered filtering section will inevitably traverse long downhill sections. Therefore, it is possible to continue identifying high-risk vehicles that have not exited the highway in these precisely controlled sections. Specifically, vehicle capture systems installed in these sections can collect real-time data on vehicles about to pass through long downhill sections. The captured license plate numbers are then compared with the license plate numbers of high-risk vehicles in the vehicle stall risk database established by the source warning and control sections and the tiered filtering sections to identify high-risk vehicles. (Reference) Figure 6 It can also identify vehicles that were previously identified as low-risk vehicles but have a high frequency of dangerous driving behaviors (speeding, illegal lane changes, etc.) on long downhill sections. If necessary, the vehicle can be changed from a low-risk vehicle to a high-risk or medium-risk vehicle, adding a safety inspection step.

[0050] After identifying high-risk and medium-risk vehicles, refer to Figure 6 This system can provide early warnings to high-risk and medium-risk vehicles, prompting them to undergo safety checks before entering long downhill sections. Specifically, this is achieved through a third early warning information generation module and a third early warning device. The third early warning information generation module generates warning messages indicating that high-risk and medium-risk vehicles identified by the third identification module are subject to safety checks before entering long downhill sections. The third early warning device communicates with the third early warning information generation module to receive and broadcast the warning messages, identifying high-risk and medium-risk vehicles in the precisely controlled road sections and instructing them to undergo safety checks before entering long downhill sections. The third early warning information generation module can also push its generated warning messages to the mobile apps of police officers at checkpoints or service area police stations before long downhill sections, alerting officers that high-risk or medium-risk vehicles are about to enter the long downhill section and prompting timely interception and safety checks. The third early warning device can be a guidance and information display screen set up in front of the joint police station in the precisely controlled road section. This screen displays text prompts to guide high-risk and medium-risk vehicles to the checkpoint or service area for security checks and safety education. Afterwards, refer to... Figure 6 After the police officers educate the passengers and show them the cautionary video, they will determine whether the conditions for release are met. If the conditions are met, the passengers will be released. If the conditions are not met, a police car will accompany the passengers as they slowly enter the long downhill section and continue driving at a low speed on the downhill section.

[0051] Additionally, refer to Figure 3 , Figure 7 andFigure 8 The long downhill slope safety prevention and control method can further include emergency disposal of the long downhill road section. The speeds of vehicles such as trucks, dangerous chemical vehicles, and passenger vehicles are collected by using multiple continuous speed measurement ports on the long downhill road section, and whether the vehicles are stalled is calculated and analyzed by using a stall model. The traffic settings of the long downhill road section are as shown in Figure 7 . Different emergency disposal plans are linked to different levels of stall early warning by using multi-level stall early warning for early warning and judgment. In combination with the foregoing manner, the entire long downhill road section is divided into four sections for hierarchical control measures, and different control measures are taken for each section of the road, and the hierarchical control is as shown in Figure 7 . That is, source early warning -> circle layer filtering -> precise control -> emergency disposal hierarchical precise control is a whole business process system covering pre-prevention, mid-warning, and post-disposal, and the long downhill traffic accident prevention is realized in combination with multiple control means.

[0052] When emergency disposal is performed on the uphill and downhill road sections, the speeds of vehicles passing the upper half of the long downhill road section can be collected continuously and multiple times, and Figure 8 the speeds of the passing vehicles can be detected by the speed measurement ports 1, 2, and 3 continuously distributed on the long downhill road section, and the vehicles are captured in real time.

[0053] Then, whether the passing vehicles are stalled is analyzed according to the continuously and multiple collected speeds. Specifically, the speed limit values of vehicles such as trucks, dangerous chemical vehicles, and passenger vehicles can be set at the speed measurement ports 1, 2, and 3, and the speed limit values of each speed measurement port can be determined according to the historical passing vehicle data to analyze the maximum speed values of each type of vehicle safely passing the long downhill road section. Then, whether the key passing vehicles are stalled is calculated and analyzed by using a stall model, and the logic of stall judgment by using the captured data of the speed measurement ports 1, 2, and 3 can refer to the following logical judgment manner:

[0054] (1) The vehicle exceeds the speed limit value of each speed measurement port 1, 2, and 3, and the speed is in an increasing trend, so it is judged that the vehicle is stalled in the slope.

[0055] (2) The vehicle exceeds the speed limit value of each speed measurement port 1, 2, and 3, and the speed does not decrease when passing through the three speed measurement ports, so it is judged that the vehicle is stalled in the slope.

[0056] (3) The vehicle passes through the speed measurement port 1 normally, exceeds the speed limit value of the speed measurement ports 2 and 3, and the speed is in an increasing trend, so it is judged that the vehicle is stalled in the slope.

[0057] (4) The vehicle passes through the speed measurement ports 1 and 2 normally, exceeds the speed limit value of the speed measurement port 3, and the speed is in an increasing trend, so it is judged that the vehicle is stalled in the slope.

[0058] After monitoring the stalled vehicle, the reference Figure 8 The stalled vehicle can be warned by the warning system distributed on the upper half of the long downhill section, prompting the stalled vehicle to brake in time or rush to the first emergency lane in front for emergency, wherein the first emergency lane is located between the upper half and the lower half of the long downhill section.

[0059] For vehicles that normally drive on the upper half of the long downhill section and have no risk of stalling, the reference Figure 8 The safety of the lower half of the section can also be monitored by the speed measurement port 4 distributed on the lower half of the long downhill section. If the driving speed of the vehicle through the speed measurement port 4 exceeds the speed limit value, the warning system distributed on the lower half of the long downhill section can be linked to warn the stalled vehicle driver to brake in time or rush to the second emergency lane in front, while the broadcast warning system 3 at the bottom of the long downhill section is linked to remind the stalled vehicle behind the bottom of the long downhill section to take emergency measures.

[0060] In addition, the reference Figure 8 The driving speed of the vehicle that has stalled on the upper half of the long downhill section and has failed to take emergency measures on the lower half of the long downhill section can also be collected and analyzed for stalling. After monitoring the stalled vehicle, the stalled vehicle is again warned to brake in time or rush to the second emergency lane in front for emergency, wherein the second emergency lane is located at the end of the lower half of the long downhill section. By using segmented stalling monitoring on the long downhill section, the vehicles on the entire long downhill section can be monitored for stalling, and different emergency disposal means can be used for different stalling situations, so as to realize safety monitoring and warning of all vehicles on the slope.

[0061] After that, the vehicle information and driver information of the stalled vehicle can also be marked as high-risk vehicles and high-risk drivers and saved into a high-risk database. By marking the vehicle information and driver information of the stalled vehicle as high-risk vehicles and high-risk drivers and saving them into a high-risk database, different risk levels can be assigned according to whether there is a record of stalled vehicles in the future, and high-risk vehicles can be accurately identified. When such vehicles or drivers enter the long downhill control section again, they will be marked as high-risk vehicles at the source warning section, the circle filtering section, the precise control section, and the long downhill section, and will be disposed of as high-risk vehicles respectively. By accumulating historical vehicle information and driver information passing through the long downhill section, high-risk vehicles and high-risk drivers can be analyzed based on big data models combined with traffic data in the future, providing effective technical means for precise control of vehicles and people in the future.

[0062] In addition, all vehicle passing states of the long downhill road section can be monitored, and after a vehicle stall early warning is generated, the early warning is timely pushed to the command center, and a video monitoring of a second half road section of the early warning location is pushed to monitor the stall vehicle by video relay. The vehicle stalled on the long downhill road section or the refuge lane can be found in time through video analysis of the speed measuring camera and the video of the refuge lane, and early warning information is pushed to the command center to remind the relevant command personnel to handle the alarm.

[0063] In the various embodiments shown above, the registration information of the vehicle is collected at the source early warning section before the long downhill road section, and the high-risk vehicle is identified according to the registration information of the vehicle, and the high-risk vehicle is warned or given a detour suggestion to bypass the long downhill road section, so that the number of dangerous vehicles passing through the long downhill road section can be reduced, or the high-risk vehicle is warned in advance, and the high-risk vehicle can be monitored and safety checked in the subsequent process, so that the probability of long downhill accidents can be effectively reduced.

[0064] In addition, the embodiment of the present application also provides a long downhill safety prevention and control device, which comprises a registration module, a first identification module and a first early warning information generation module. The registration module is used to collect the registration information of the passing vehicle at the source early warning section before entering the long downhill road section. The first identification module is used to identify the stall risk level of the passing vehicle according to the registration information, wherein the stall risk level at least includes high risk. The first early warning information generation module is used to generate early warning information that the high-risk vehicle has safety hidden danger, or / and give a detour suggestion to bypass the long downhill road section to the high-risk vehicle. The registration information of the vehicle is collected at the source early warning section before the long downhill road section, and the high-risk vehicle is identified according to the registration information of the vehicle, and the high-risk vehicle is warned or given a detour suggestion to bypass the long downhill road section, so that the number of dangerous vehicles passing through the long downhill road section can be reduced, or the high-risk vehicle is warned in advance, and the high-risk vehicle can be monitored and safety checked in the subsequent process, so that the probability of long downhill accidents can be effectively reduced.

[0065] The registration module, the first identification module and the first early warning information generation module described above are functional modules capable of performing corresponding functions, and can specifically include necessary hardware and software integrated on the hardware. In addition, it should be noted that the long downhill safety prevention and control system can also include other functional modules to realize all method steps described in the above long downhill safety prevention and control method.

[0066] For example, the stall risk level can also at least include medium risk. The long downhill safety prevention and control device can also comprise a second identification module, a second early warning information generation module, a third identification module and a third early warning information generation module.

[0067] The second identification module is configured to identify whether there is a high-risk vehicle on a circle filtering road section after the source early warning road section; the circle filtering road section is located before the long downhill road section; the second identification module is further configured to compare license plate numbers of passing vehicles captured on the circle filtering road section with the license plate numbers of the high-risk vehicles identified on the source early warning road section, and screen out high-risk vehicles that are identified as high-risk vehicles on the source early warning road section but have not left; the second identification module is further configured to compare the license plate numbers of the passing vehicles captured on the circle filtering road section with the license plate numbers of the vehicles with the stall risk level identified on the source early warning road section, and screen out the first target vehicles that are identified as high-risk vehicles on the source early warning road section and the second target vehicles that are not identified as having the stall risk level; the second identification module is further configured to identify the stall risk levels of the first target vehicles and the second target vehicles according to the collected vehicle information of the first target vehicles and the second target vehicles, review whether the first target vehicles need to be changed to high-risk vehicles, and confirm whether there is a high-risk vehicle in the second target vehicles. The second early warning information generation module is configured to generate early warning information of the high-risk vehicles identified by the second identification module leaving the circle filtering road section.

[0068] The third identification module is configured to identify high-risk vehicles and medium-risk vehicles that have not left on a precise control road section after the circle filtering road section; the precise control road section is located before the long downhill road section. The third early warning information generation module is configured to generate early warning information of the high-risk vehicles and the medium-risk vehicles identified by the third identification module for safety inspection before entering the long downhill road section.

[0069] And the first identification module and the second identification module can both contain a stall risk identification module, and the stall risk identification module includes a judgment module, a high-risk identification module, a medium-risk identification module, and a low-risk identification module. The judgment module is configured to identify whether the passing vehicle passes through a long downhill road section according to destination information of the passing vehicle. The high-risk identification module is configured to identify whether the passing vehicle belonging to a three-axle or more truck satisfies any of the following conditions: carrying dangerous chemicals, carrying non-dissociative oversize goods, carrying heavy machinery, carrying construction equipment without being tied according to regulations, the driver being overdue for inspection, the vehicle being overdue for annual inspection, and being saved in a high-risk database, according to the passing vehicle information, the driver information, and the carried goods information, when the judgment module judges that the passing vehicle passes through the long downhill road section. The high-risk identification module is further configured to identify the passing vehicle as a high-risk vehicle when any of the above conditions is satisfied. The medium-risk identification module is configured to identify the passing vehicle as a medium-risk vehicle when the passing vehicle does not belong to a high-risk vehicle, according to any of the following conditions: the vehicle passing through the long downhill road section for the first time, the driver having a driving age of less than 3 years and passing through the long downhill road section less than 2 times, and the vehicle having a service life of more than 8 years, when the high-risk identification module identifies that the passing vehicle does not belong to a high-risk vehicle. The low-risk identification module is configured to identify the passing vehicle as a low-risk vehicle when the passing vehicle does not belong to a high-risk vehicle and a medium-risk vehicle, when the high-risk identification module and the medium-risk identification module judge that the passing vehicle does not belong to a high-risk vehicle and a medium-risk vehicle.

[0070] Furthermore, the embodiment of the present application further provides an electronic device, which comprises at least one processor and a memory connected with the at least one processor in communication. The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform any of the above long downhill safety prevention and control methods.

[0071] In addition, the embodiment of the present application further provides a long downhill safety prevention and control system, which comprises the above electronic device, and further comprises a snapshot device and a vehicle information acquisition device arranged at a circle filtering road section. The circle filtering road section is located between a source early warning road section and a long downhill road section. The snapshot device is configured to capture license plate numbers of passing vehicles at the circle filtering road section. The vehicle information acquisition device is configured to acquire vehicle information of a first target vehicle that is not identified as a high-risk vehicle at the source early warning road section, and further configured to acquire vehicle information of a second target vehicle that is not identified as a stall risk level at the source early warning road section.

[0072] The system can further comprise a first early warning device arranged at the source early warning road section, configured to play early warning information that a high-risk vehicle has a stall safety hazard, or / and give a detour suggestion to the high-risk vehicle to detour the long downhill road section.

[0073] The system can further include a second early warning device arranged at the circle layer filtering section, and the second early warning device is configured to play the early warning information that the high-risk vehicle identified by the second identification module leaves the circle layer filtering section.

[0074] The system can further include a third early warning device arranged at a precise management section, and the precise management section is located between the circle layer filtering section and the long downhill section, and the third early warning device is configured to play the early warning information that the high-risk vehicle and the medium-risk vehicle identified by the third identification module are subjected to safety inspection before entering the long downhill section.

[0075] The above is only a specific embodiment of the present application, but the protection scope of the present application is not limited to this, any person skilled in the art can easily think of changes or replacements within the technical range disclosed by the present application, which should be covered within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A safety control method for long downhill slopes, characterized in that, include: At the source warning section before entering the long downhill section, collect the registration information of passing vehicles; Based on the registration information, the stall risk level of the passing vehicles is identified; wherein the stall risk level includes at least high risk; after classifying different vehicles into different stall risk levels, different colored vehicle access codes can be assigned to the vehicles according to their stall risk levels, and the vehicle access codes can be fed back to the corresponding vehicles to improve the visualization of different stall risk levels and make it easier for drivers to quickly understand the risk level of their own vehicles. Warnings are issued that high-risk vehicles pose a safety hazard due to stalling, and / or detour suggestions are given to high-risk vehicles to bypass the aforementioned long downhill sections; Also includes: In the concentric filtering section following the source warning section, the presence of high-risk vehicles is identified; wherein, the concentric filtering section is located before the long downhill section. For identified high-risk vehicles, issue a warning to drive them away from the aforementioned filtered road sections; The identification of high-risk vehicles in the ring-filtering sections following the source warning section includes: Capture the license plate numbers of vehicles passing through the aforementioned filtered road sections; The captured license plate numbers are compared with the license plate numbers of high-risk vehicles identified in the source warning section to filter out high-risk vehicles that were identified as high-risk vehicles in the source warning section but have not left. The identification of high-risk vehicles in the ring-filtering sections following the source warning section includes: Capture the license plate numbers of vehicles passing through the aforementioned filtered road sections; The captured license plate numbers are compared with the license plate numbers of vehicles with stall risk levels identified in the source warning section, and the first target vehicles other than those identified as high-risk vehicles in the source warning section and the second target vehicles that have not been identified as having stall risk levels are selected. Collect vehicle information of the first target vehicle and the second target vehicle; The stall risk levels of the first target vehicle and the second target vehicle are identified based on the collected vehicle information; Verify whether the first target vehicle needs to be reclassified as a high-risk vehicle, and confirm whether there are any high-risk vehicles among the second target vehicles; The stall risk level also includes at least medium risk; The safety control methods for long downhill slopes also include: In the precise control section following the loop filter section, high-risk vehicles that have not left are identified; wherein, the precise control section is located before the long downhill section; in the precise control section, by collecting real-time data on vehicles about to pass through the long downhill section, the license plate numbers captured in real-time are compared with the license plate numbers of high-risk vehicles in the vehicle stall risk database established by the source warning control section and the loop filter section, and high-risk vehicles are identified; High-risk and medium-risk vehicles are warned to undergo safety checks before entering the long downhill section. The identified stall risk levels for passing vehicles include: Based on the destination information of the passing vehicles, identify whether the passing vehicles pass through the long downhill section; If the passing vehicle travels through the long downhill section, then based on the passing vehicle information, driver information, and cargo information, identify whether the passing vehicle, which is a three-axle or higher freight truck, meets any of the following conditions: transporting hazardous chemicals, transporting non-separable oversized cargo, transporting heavy machinery, transporting construction equipment that is not properly secured, driver whose license has expired, vehicle whose annual inspection has expired, or is stored in the high-risk database; if any of the above conditions are met, then the passing vehicle is identified as a high-risk vehicle. If a vehicle is not considered a high-risk vehicle, but meets any of the following conditions: it is the first time it has traveled on a long downhill section, the driver has less than 3 years of driving experience and has traveled on a long downhill section less than 2 times, or the vehicle is more than 8 years old, then the vehicle is identified as a medium-risk vehicle. If a passing vehicle is not classified as a high-risk or medium-risk vehicle, it is identified as a low-risk vehicle. It also includes: marking the vehicle information and driver information of stalled vehicles as high-risk vehicles and high-risk drivers, and saving them to a high-risk database so that different risk levels can be assigned based on whether the vehicle has a history of stalling, thus accurately identifying high-risk vehicles.

2. A safety control device for long downhill slopes, characterized in that, include: The registration module is used to collect registration information of passing vehicles at the source warning section before entering the long downhill section; The first identification module is used to identify the stall risk level of passing vehicles based on the registration information; wherein the stall risk level includes at least high risk; after classifying different vehicles into different stall risk levels, different colored vehicle access codes can be assigned to vehicles according to their stall risk levels, and the vehicle access codes can be fed back to the corresponding vehicles to improve the visualization effect of different stall risk levels and make it easier for drivers to quickly understand the risk level of their own vehicles. The first early warning information generation module is used to generate early warning information indicating that high-risk vehicles have a potential safety hazard of stalling, and / or to provide detour suggestions for high-risk vehicles to detour through the long downhill section; The stall risk level also includes at least medium risk; The long downhill safety control device also includes: The second identification module is used to identify whether there are high-risk vehicles in the concentric filtering section after the source warning section; wherein the concentric filtering section is located before the long downhill section; the second identification module is also used to compare the license plate numbers of vehicles captured in the concentric filtering section with the license plate numbers of high-risk vehicles identified in the source warning section, and filter out high-risk vehicles that were identified as high-risk vehicles in the source warning section but have not left; the second identification module is also used to compare the license plate numbers of vehicles captured in the concentric filtering section with the license plate numbers of vehicles with stall risk levels identified in the source warning section, and filter out first target vehicles other than those identified as high-risk vehicles in the source warning section, and second target vehicles that have not been identified with stall risk levels; the second identification module is also used to identify the stall risk levels of the first target vehicle and the second target vehicle based on the collected vehicle information of the first target vehicle and the second target vehicle, verify whether the first target vehicle needs to be reclassified as a high-risk vehicle, and confirm whether there are high-risk vehicles among the second target vehicles; The second early warning information generation module is used to generate early warning information for high-risk vehicles identified by the second identification module as leaving the circle-filtered road section; The third identification module is used to identify high-risk and medium-risk vehicles that have not left the precise control section after the ring-filtered road section; wherein, the precise control section is located before the long downhill section; in the precise control section, by collecting real-time data on vehicles about to pass through the long downhill section, the license plate numbers captured in real-time are compared with the license plate numbers of high-risk vehicles in the vehicle stall risk database established by the source warning control section and the ring-filtered road section, and high-risk vehicles are identified; The third early warning information generation module is used to generate early warning information for high-risk and medium-risk vehicles identified by the third identification module, and to conduct safety checks before entering the long downhill section. Both the first and second identification modules include a stall risk identification module, wherein the stall risk identification module includes: The judgment module is used to identify whether a passing vehicle passes through the long downhill section based on the destination information of the passing vehicle; The high-risk identification module is used to identify, based on the vehicle information, driver information, and cargo information, whether a three-axle or higher freight vehicle meets any of the following conditions when the judgment module determines that the passing vehicle is passing through the long downhill section: transporting hazardous chemicals, transporting non-separable oversized cargo, transporting heavy machinery, transporting construction equipment that is not properly secured, driver whose license has expired, vehicle whose annual inspection has expired, or is stored in the high-risk database; it is also used to identify the passing vehicle as a high-risk vehicle if any of the above conditions are met. The medium-risk identification module is used to determine whether the communicating vehicle meets any of the following conditions when the high-risk identification module identifies that the passing vehicle is not a high-risk vehicle: the vehicle is passing through a long downhill section for the first time, the driver has less than 3 years of driving experience and has passed through a long downhill section less than 2 times, or the vehicle has been in use for more than 8 years. If any of the above conditions are met, the passing vehicle is identified as a medium-risk vehicle. The low-risk identification module is used to identify a passing vehicle as a low-risk vehicle when the high-risk identification module and the medium-risk identification module determine that the passing vehicle does not belong to the high-risk vehicle and the medium-risk vehicle categories. High-risk database: This database is used to mark and save the vehicle and driver information of stalled vehicles as high-risk vehicles and high-risk drivers, so that different risk levels can be assigned based on whether the driver has a history of stalling, thus accurately identifying high-risk vehicles.

3. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of claim 1.

4. A safety control system for long downhill slopes, characterized in that, Including the electronic device as described in claim 3, further comprising: The system includes a camera, a vehicle information collection device, and a second early warning device installed on a concentric filtering road section. The concentric filtering road section is located between the source warning road section and a long downhill section. The camera is used to capture the license plate numbers of vehicles passing through the concentric filtering road section. The vehicle information collection device is used to collect vehicle information of first target vehicles (excluding those identified as high-risk vehicles in the source warning road section) and also to collect vehicle information of second target vehicles that have not been identified as having a stall risk level in the source warning road section.

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