Video detection warning method, device and storage medium considering vehicle braking safety on long downhill sections

Abstract

The present application discloses a video detection and early warning method, device and storage medium that consider the braking safety of vehicles on long downhill sections, including the following contents: collecting or identifying the vehicle model, vehicle speed, vehicle gross mass and vehicle brake temperature of vehicles passing through the upstream of the rest area on the long downhill section; searching for the vehicle model information of the target vehicle according to the vehicle model; obtaining the road information and environmental information of the current long downhill section; calculating the distance from the upstream of the rest area on the long downhill section to the failure of the braking ability according to the vehicle model information, the long downhill section information and the environmental information, and judging whether to send an early warning signal to the target vehicle. The present application aims at the problem of the attenuation of the braking ability of vehicles on long downhill sections, and provides early warning information for vehicles on the long downhill section based on basic data such as vehicle parameters and long downhill section parameters, so as to reduce the situation of the vehicle's braking ability failure on the long downhill section, which can significantly improve the safety of vehicle driving.

Description

Technical Field

[0001] The present application relates to the field of traffic safety technology, and in particular to a video detection and early warning method, device and storage medium that take into account the braking safety of vehicles on long downhill sections. Background Art

[0002] Vehicles driving on long downhill sections often face the problem of brake performance degradation, especially for heavy-loaded and large vehicles. Overheating caused by long-term use of the brakes is one of the main reasons for brake performance degradation, which is particularly common when driving downhill. When the brake temperature rises to a certain level, the braking effect will be significantly reduced, and in extreme cases, it may even fail completely, leading to serious traffic accidents.

[0003] In response to this problem, there are some solutions in current technology, such as using engine braking and auxiliary braking systems to reduce reliance on traditional friction brakes. However, these technologies still have limitations, especially under extreme or special road and environmental conditions, their effects may not be ideal. In addition, current driver warning systems usually focus on the immediate vehicle status or external environmental changes, and cannot effectively predict the trend of braking performance degradation. When a vehicle fails to brake on a long downhill section, the solution of existing technology is usually to drive the vehicle into an emergency escape lane, but this method is passive, especially on a long downhill section. Since the trend of braking performance degradation cannot be effectively predicted, it is impossible to estimate the time point when the vehicle fails to brake, and it is difficult to ensure that the vehicle will have an emergency escape lane for it to enter when a brake failure occurs.

[0004] Therefore, developing a new technical solution that can monitor and warn of the braking performance degradation of vehicles on long downhill sections in real time is of great significance to improving road traffic safety. This technical solution needs to comprehensively consider factors such as the specific type of vehicle, the state of the braking system, the vehicle load, and the length and slope of the downhill section. By collecting this data and using data analysis technology to predict the changing trend of braking performance, it is possible to issue a warning to the driver in time before the braking system is about to fail, so that the driver has enough time to take measures to avoid or mitigate the occurrence of accidents. Summary of the invention

[0005] In response to the problem of vehicle braking ability attenuation on long downhill sections, the present application proposes a video detection warning method, device and storage medium that take into account the braking safety of vehicles on long downhill sections, which can provide early warning of whether the vehicle's braking ability is attenuated, thereby reducing the situation of vehicle braking ability failure on long downhill sections and improving vehicle driving safety.

[0006] In a first aspect, the present application provides a video detection and early warning method considering the braking safety of a vehicle on a long downhill section, including the following steps of calculating the vehicle braking failure distance:

[0007] At the preset distance dkm upstream of the i-th rest area on the long downhill section, the model, speed V, gross vehicle mass M, and brake temperature T of the target vehicle passing by are collected. i ;

[0008] Search the model information of the target vehicle according to the model; the model information includes the drag coefficient , frontal area , Conversion factor , percentage of engine brake , Rated power of the engine , brake wheel number , Brake quality , the specific heat of the brake drum or brake disc , Number of wheels involved in braking n ;

[0009] Obtain the road information and environmental information of the current long downhill section, wherein the road information of the long downhill section includes the average longitudinal slope of the section between the preset distance dkm upstream of the i-th rest area and the i+1-th rest area The environmental information includes the air mass density corresponding to different local temperatures. ;

[0010] According to the above vehicle model information, vehicle speed V, vehicle gross mass M, vehicle brake temperature T i , the road information and environmental information of the long downhill section are used to calculate the distance D from the preset distance dkm upstream of the i-th rest area on the long downhill section to the point where the braking ability fails i ; The distance D i The calculation formula is:

[0011] .

[0012] In an optional implementation of the first aspect, the preset distance dkm is 2~5km.

[0013] In an optional implementation of the first aspect, the temperature ranges from the lowest temperature to the highest temperature in the local area in the past five years, with an interval of 1°C.

[0014] In an optional implementation of the first aspect, the method further includes the following early warning step:

[0015] Determine whether the target vehicle can drive directly to the i+1th rest area without brake failure; if not, issue a warning to the target vehicle to notify it to enter the i-th rest area for brake cooling until the target vehicle enters the entrance of the i-th rest area. If it can, no warning is issued.

[0016] Specifically, in the early warning step, the long downhill road section road information also includes the current rest area position x i , i=1,2,3…N, N is the number of rest areas;

[0017] Calculate the distance x between the i+1th rest area and the ith rest area i+1 -x i ;

[0018] If x i+1 -x i +d> D i , it is determined that the target vehicle cannot drive directly to the i+1 rest area, and should enter the i rest area for brake cooling; a warning message is sent to the target vehicle, notifying it to enter the i rest area for brake cooling, and the vehicle position of the target vehicle is obtained in real time, and the trajectory of the target vehicle is tracked in real time according to the vehicle position to determine whether the target vehicle enters the i rest area entrance. When the target vehicle enters the i rest area entrance, the warning is stopped;

[0019] If x i+1 -x i +d≤D i , no processing is done.

[0020] In a second aspect, the present application provides a device for executing the video detection early warning method, comprising:

[0021] The video detection module is used to collect the model and speed V of the target vehicle passing through the i-th rest area upstream of the long downhill section at a preset distance dkm;

[0022] A weight detection module is used to detect the total vehicle mass M of a target vehicle passing through a preset distance dkm upstream of the i-th rest area on a long downhill section;

[0023] The vehicle-mounted module includes a temperature detection unit, wherein the temperature detection unit is used to measure the brake temperature T of the vehicle passing through the i-th rest area upstream of the long downhill section at a preset distance dkm i ;

[0024] Data center, used to receive and store the target vehicle model information, vehicle speed V, vehicle gross mass M, vehicle brake temperature T i , road information and environmental information of the long downhill section, and calculate the distance D from the vehicle continuing to travel from the preset distance dkm upstream of the i-th rest area on the long downhill section to the point where the braking ability fails i ;

[0025] The networked joint control module is used to ensure communication between the data center and the video detection module, weight detection module, and vehicle-mounted module.

[0026] In an optional implementation of the second aspect, the vehicle-mounted module includes a positioning unit, and the positioning unit is used to obtain a vehicle position;

[0027] When the data center determines x i+1 -x i +d> D i When the target vehicle enters the i-th rest area, the data center generates a warning signal and sends it to the target vehicle through the networked joint control device. At the same time, the data center obtains the vehicle position fed back by the positioning unit in real time to determine whether the target vehicle enters the i-th rest area.

[0028] In an optional implementation of the second aspect, the video detection module is installed at a preset distance dkm upstream of the i-th rest area on the long downhill section.

[0029] In an optional implementation of the second aspect, the weight detection module is installed at a preset distance dkm upstream of the i-th rest area on the long downhill section.

[0030] In a third aspect, the present application provides a computer-readable storage medium, wherein the storage medium stores at least one executable instruction. When the executable instruction is executed on an electronic device, the electronic device executes the video detection and warning method that takes into account the braking safety of the vehicle on a long downhill section.

[0031] Compared with the existing methods, this application has the following beneficial effects:

[0032] This application starts from the perspective of traffic safety and aims to reduce the failure of vehicle braking ability. Based on basic data such as vehicle parameters and long downhill section parameters, a model simulation method is used to construct a calculation formula for the braking failure distance of vehicles on long downhill sections. The formula can accurately evaluate the vehicle's braking ability and provide early warning of whether the vehicle's braking ability has declined. This application uses digital calculation to predict whether the target vehicle can drive directly to the i+1 rest area without failure of braking ability before reaching the i-th rest area, and effectively and accurately provides warning information for vehicles on long downhill sections. The data acquisition and transmission are reliable, the module installation and layout are simple, and it is easy to implement. It has the advantages of low cost, repeatability, and easy parameter acquisition. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 A schematic flow chart of a method for calculating the braking failure distance of a vehicle on a long downhill section of a road provided in one embodiment of the present application;

[0034] Figure 2 A schematic flow chart of a video detection and early warning method considering vehicle braking safety on a long downhill section provided in one embodiment of the present application;

[0035] Figure 3 A schematic diagram of the module installation position of a video detection and warning device considering the braking safety of vehicles on long downhill sections provided in one embodiment of the present application;

[0036] Explanation of the accompanying drawings: 1. Video detection module; 2. Weight detection module; 3. Vehicle-mounted module; 4. Networked joint control module. DETAILED DESCRIPTION

[0037] In order to make the objectives, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings.

[0038] It should be clear that the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application.

[0039] The terms used in the embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to limit the present application. The singular forms "a", "said" and "the" used in the embodiments of the present application and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings.

[0040] In addition, in the present application, the directional terms are defined relative to the orientation of the components in the drawings. It should be understood that these directional terms are relative concepts. They are used for relative description and clarification, and they can change accordingly according to the changes in the orientation of the components in the drawings.

[0041] In a first aspect, the present application provides a video detection and early warning method considering the braking safety of a vehicle on a long downhill section, including the following steps of calculating the vehicle braking failure distance:

[0042] S1, collect or identify the model, speed V, gross vehicle mass M, and brake temperature T of the target vehicle passing by at a preset distance dkm upstream of the i-th rest area on the long downhill section i ; The optional range of the preset distance dkm is 2~5km, and 3km is selected in this embodiment.

[0043] S2, according to the model of the target vehicle, find the corresponding drag coefficient of different models in the vehicle information database , frontal area , Conversion factor , JakeBrake's percentage , Rated power of the engine , brake wheel number , Brake quality , the specific heat of the brake drum or brake disc , Number of wheels involved in braking n .

[0044] S3, obtaining the road information and environmental information of the current long downhill section; the road information includes but is not limited to the average longitudinal slope of the section between 3 km upstream of the i-th rest area and the i+1-th rest area on the long downhill section. Environmental information includes but is not limited to the air mass density corresponding to different local temperatures. .

[0045] S4, based on the above vehicle model information, vehicle speed V, vehicle gross mass M, vehicle brake temperature T i , road information of the long downhill section, environmental information, and based on the law of energy conversion, calculate the distance D from the vehicle continuing to travel 3 km upstream of the i-th rest area on the long downhill section to the point where the braking ability fails i , the formula is as follows:

[0046] .

[0047] Further, the distance D from the vehicle continuing to travel 3 km upstream of the i-th rest area on the long downhill section to the point where the braking ability fails is obtained. i After that, the following early warning steps are also included:

[0048] S5, determining whether the target vehicle can drive directly to the (i+1)th rest area without entering the i-th rest area for brake cooling if the braking capability has not failed; if not, issuing a warning to the target vehicle until the target vehicle enters the entrance of the i-th rest area; if so, not issuing a warning.

[0049] Specifically, step S5 includes the following contents:

[0050] The road information of the long downhill section also includes the location of each rest area. The location of the i-th rest area is defined as x i (i=1,2,3…); Calculate the distance between the i+1th rest area and the ith rest area as x i+1 -x i ; if x i+1 -x i +3> D i , it is determined that the current target vehicle (located 3 km upstream of the i-th rest area) cannot directly drive to the i+1-th rest area without brake failure, but needs to enter the i-th rest area for brake cooling; at this time, the target vehicle is tracked by real-time location information to determine whether it has entered the i-th rest area entrance. When the target vehicle enters the i-th rest area entrance, the warning is stopped; if x i+1 -x i+3≤D i , no warning processing will be performed.

[0051] In a second aspect, the present application provides a device for executing the above-mentioned video detection and early warning method, the device including a video detection module, a weight detection module, a vehicle-mounted module, a network joint control module and a data center.

[0052] The video detection module is used to collect or identify the model and vehicle speed V of the target vehicle passing through the i-th rest area 3 km upstream of the long downhill section, and send it to the data center.

[0053] The weight detection module is used to measure the total vehicle mass M of the target vehicle passing through the i-th rest area 3 km upstream of the long downhill section and send it to the data center.

[0054] The vehicle-mounted module is installed on the vehicle and includes a temperature detection unit for measuring the vehicle brake temperature T of the target vehicle 3 km upstream of the i-th rest area on the long downhill section. i , and sent to the data center.

[0055] The networking joint control module is used to ensure the information transmission between the data center and the video detection module, weight detection module, and vehicle-mounted module.

[0056] The data center stores vehicle model information. After receiving the target vehicle model image collected by the video detection module, it searches or indexes the specific vehicle model information corresponding to the target vehicle. At the same time, the data center stores the average longitudinal slope of the long downhill section from 3 km upstream of the i-th rest area to the i+1th rest area. And the air mass density corresponding to different local temperatures The data center uses the target vehicle’s model information and the average longitudinal slope of the long downhill section. And the air mass density corresponding to the current temperature Calculate the distance D from the vehicle continuing to travel 3 km upstream of the i-th rest area on the long downhill section to the point where the braking capacity fails i .

[0057] In one embodiment, the vehicle model information can be stored in a table in the vehicle information database of the data center, and the table records the drag coefficients corresponding to different vehicle model names. , frontal area , Conversion factor , JakeBrake's percentage , Rated power of the engine , brake wheel number , Brake quality , the specific heat of the brake drum or brake disc , Number of wheels involved in brakingn The environmental information can also be saved in the data center in the form of a table, which records the air mass density corresponding to different temperatures. The temperature range is preferably from the lowest temperature to the highest temperature in the local area in the past five years, with an interval of 1°C.

[0058] Furthermore, the device is also used to execute the above-mentioned early warning step; specifically, the vehicle-mounted module of the device includes a positioning unit, which is used to obtain the vehicle position and feed it back to the data center.

[0059] The data center calculates the distance x from the i-th rest area to the i+1-th rest area i+1 -x i , judge x i+1 -x i Does x satisfy i+1 -x i +3> D i ; If it is satisfied, a warning signal is generated and sent to the target vehicle through the networked joint control module. For example, the networked joint control module can send a message to the target vehicle that needs a warning, such as "Please go to the rest area 3 km downstream to cool down and restore the braking capacity." In this process, the data center obtains the vehicle location information in real time through the positioning unit to track the vehicle trajectory until the target vehicle enters the i-th rest area; if x i+1 -x i +3≤ D i , no warning signal is generated.

[0060] Preferably, the video detection module is installed 3 km upstream of the i-th rest area on the long downhill section, and the weight detection module is installed 3 km upstream of the i-th rest area on the long downhill section.

[0061] like Figure 3 As shown, this embodiment applies the early warning device to the roadside of the long downhill section of Lewang Expressway (Leye Section), among which the route K35+600-K62+500 is more special. The average longitudinal slope of this section is 2.26%, which is a continuous long downhill section. The device consists of a video detection module 1, a weight detection module 2, a vehicle-mounted module 3, a network joint control module 4 and a data center. The video detection module 1 is installed on the cantilever column on the roadside 3km upstream of the i-th rest area on the long downhill section, the weight detection module 2 is installed 3km upstream of the i-th rest area on the long downhill section, the vehicle-mounted device 3 is installed on the vehicle, the network joint control device 4 is installed on the cantilever column on the roadside 3km upstream of the i-th rest area on the long downhill section, and the data center is established at the traffic command center.

[0062] In addition, the present application also provides a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method in the above embodiment is implemented.

[0063] For example, the above can be achieved Figure 1 The steps of the method for calculating the vehicle braking failure distance shown in Figure 2 The steps of the video detection and early warning method considering the braking safety of vehicles on long downhill sections are shown.

[0064] Computer readable storage media can be tangible devices that can hold and store instructions used by instruction execution devices. Computer readable storage media can be, for example, but not limited to, electronic storage devices, magnetic storage devices, optical storage devices, electromagnetic storage devices, semiconductor storage devices, or any suitable combination of the above.

[0065] The computer program instructions used to perform the operations of the present application may be source code or object code written in any combination of one or more programming languages, and the computer-readable program instructions may be executed entirely on the user's computer, partially on the user's computer, as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server.

[0066] The above embodiments are only for illustrating the technical concept and features of the present application, and their purpose is to enable technicians familiar with the technical field to understand the content of the present application and implement it accordingly, and they cannot be used to limit the protection scope of the present application. For ordinary technicians in the technical field, they can make several improvements and modifications without departing from the principles of the present application, and these improvements and modifications should also be regarded as the protection scope of the present application.

Claims

1. A video detection and early warning method considering the braking safety of vehicles on long downhill sections, characterized in that: The method includes the following steps for calculating the vehicle braking failure distance: At the preset distance dkm upstream of the i-th rest area on the long downhill section, the model, speed V, gross vehicle mass M, and brake temperature T of the target vehicle passing by are collected. i ; Search the model information of the target vehicle according to the model; the model information includes the drag coefficient , frontal area , Conversion factor , percentage of engine brake , Rated power of the engine , brake wheel number , Brake quality , the specific heat of the brake drum or brake disc , Number of wheels involved in braking n ; Obtain the road information and environmental information of the current long downhill section, wherein the road information of the long downhill section includes the average longitudinal slope of the section between the preset distance dkm upstream of the i-th rest area and the i+1-th rest area The environmental information includes the air mass density corresponding to different local temperatures. ; According to the above vehicle model information, vehicle speed V, vehicle gross mass M, vehicle brake temperature T i , the road information and environmental information of the long downhill section are used to calculate the distance D from the preset distance dkm upstream of the i-th rest area on the long downhill section to the point where the braking ability fails i ; The distance D i The calculation formula is: 。 2. The video detection and early warning method according to claim 1, characterized in that: The preset distance dkm is 2~5km.

3. The video detection and early warning method according to claim 1, characterized in that: The temperature range is from the lowest temperature to the highest temperature in the local area in the past five years, with an interval of 1°C.

4. The video detection and early warning method according to claim 1, characterized in that: The following early warning steps are included: Determine whether the target vehicle can drive directly to the i+1th rest area without brake failure; if not, issue a warning to the target vehicle to notify it to enter the i-th rest area for brake cooling until the target vehicle enters the entrance of the i-th rest area. If it can, no warning is issued.

5. The video detection and early warning method according to claim 4 is characterized in that: The long downhill road section road information also includes the current rest area position x i , i=1,2,3…N, N is the number of rest areas; Calculate the distance x between the i+1th rest area and the ith rest area i+1 -x i ; If x i+1 -x i +d> D i , it is determined that the target vehicle cannot drive directly to the i+1 rest area, and should enter the i rest area for brake cooling; a warning message is sent to the target vehicle, notifying it to enter the i rest area for brake cooling, and the vehicle position of the target vehicle is obtained in real time, and the trajectory of the target vehicle is tracked in real time according to the vehicle position to determine whether the target vehicle enters the i rest area entrance. When the target vehicle enters the i rest area entrance, the warning is stopped; If x i+1 -x i +d≤D i , no processing is done.

6. A device for executing the video detection and early warning method according to any one of claims 1 to 5, characterized in that: include: The video detection module is used to collect the model and speed V of the target vehicle passing through the i-th rest area upstream of the long downhill section at a preset distance dkm; A weight detection module is used to detect the total vehicle mass M of a target vehicle passing through a preset distance dkm upstream of the i-th rest area on a long downhill section; The vehicle-mounted module includes a temperature detection unit, wherein the temperature detection unit is used to measure the brake temperature T of the vehicle passing through the i-th rest area upstream of the long downhill section at a preset distance dkm i ; Data center, used to receive and store the target vehicle model information, vehicle speed V, vehicle gross mass M, vehicle brake temperature T i , road information and environmental information of the long downhill section, and calculate the distance D from the vehicle continuing to travel from the preset distance dkm upstream of the i-th rest area on the long downhill section to the point where the braking ability fails i ; The networked joint control module is used to ensure communication between the data center and the video detection module, weight detection module, and vehicle-mounted module.

7. The device according to claim 6, characterized in that The vehicle-mounted module includes a positioning unit, and the positioning unit is used to obtain the vehicle position; When the data center determines x i+1 -x i +d> D i When the target vehicle enters the i-th rest area, the data center generates a warning signal and sends it to the target vehicle through the networked joint control device. At the same time, the data center obtains the vehicle position fed back by the positioning unit in real time to determine whether the target vehicle enters the i-th rest area.

8. The device according to claim 6, characterized in that: The video detection module is installed at a preset distance dkm upstream of the i-th rest area on the long downhill section.

9. The device according to claim 6, characterized in that: The weight detection module is installed at a preset distance dkm upstream of the i-th rest area on the long downhill section.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one executable instruction. When the executable instruction is executed on the electronic device, the electronic device executes the video detection and early warning method considering the braking safety of the vehicle on a long downhill section as described in any one of claims 1 to 5.

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