Highway road condition sensing alarm device and method

Abstract

The present invention discloses a highway road condition perception and alarm device and method, which relates to the technical field of road condition perception. The present invention comprises a data acquisition module, a congestion analysis module, a congestion alarm module and a database. The device acquires a monitoring section and sets each sub-section according to a preset distance threshold, detects the road surface condition, vehicle density and traffic volume of each sub-section, and analyzes whether the monitoring section is congested. When the monitoring section is congested, the total number of vehicles on the monitoring section is acquired, and it is analyzed whether each vehicle on the monitoring section needs to be alarmed in batches. If not, each vehicle on the monitoring section is alarmed at the same time. If batch alarms are needed, the alarm batches of each vehicle on the monitoring section are analyzed, and alarms are issued according to the alarm batches of each vehicle on the monitoring section, thereby ensuring that each vehicle on the monitoring section receives an alarm, and also ensuring the accuracy of road congestion analysis and the timeliness of congestion alarms.

Description

Technical Field

[0001] The present invention relates to the technical field of road condition perception, and in particular to a highway road condition perception alarm device and method. Background Art

[0002] With the continuous expansion of road networks, the increasing traffic volume, and the vigorous development of emerging fields such as smart transportation and autonomous driving, traditional highway road condition monitoring and alarm technologies have gradually exposed many drawbacks, making it difficult to meet the urgent needs of smart transportation development, and putting higher and more complex requirements on highway road condition perception and alarm technologies.

[0003] Traditional highway road condition perception and alarm equipment and methods obtain the vehicle density and traffic flow of the current monitoring section, and compare them with the fixed warning value to determine whether the current monitoring section is congested. If the current section is congested, an early warning is issued to each vehicle on the monitoring section. Obviously, this type of highway road condition perception and alarm equipment and method has the following shortcomings: 1. Traditional highway road condition perception and alarm equipment and methods determine whether the monitoring section is congested based on vehicle density, traffic flow and fixed warning values. In reality, the road surface condition affects the vehicle density and traffic flow, so the accuracy of road congestion analysis cannot be guaranteed.

[0004] 2. When monitoring road congestion, traditional highway road condition perception and alarm equipment and methods will simultaneously alarm all vehicles on the monitored section. If there are too many vehicles that need to be alarmed during this process, the alarm may be delayed or missed. Therefore, the timeliness of the alarm cannot be guaranteed, nor can it be guaranteed that all vehicles on the monitored section receive the alarm. Summary of the Invention

[0005] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a highway road condition perception and alarm device and method.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solutions: In the first aspect, the present invention provides a highway road condition perception and alarm device, including the following modules: a data acquisition module, a congestion analysis module, a congestion alarm module and a database.

[0007] The data acquisition module is used to acquire the monitoring section, set each sub-section according to a preset distance threshold, and detect the road surface condition, vehicle density and traffic flow of each sub-section.

[0008] The congestion analysis module is used to obtain the road surface conditions, vehicle density and traffic flow of each sub-section, and obtain the road surface conditions, vehicle density and traffic flow of each sub-section at each historical warning from the database, and analyze whether each sub-section is congested. When there is a congested sub-section, it means that the monitored section is congested.

[0009] The congestion alarm module is used to obtain the total number of vehicles on the monitored section when the monitored section is congested, analyze whether each vehicle on the monitored section needs to be alarmed in batches, and if not, alarm each vehicle on the monitored section at the same time. If alarm is required in batches, analyze the alarm batches of each vehicle on the monitored section and alarm according to the alarm batches of each vehicle on the monitored section.

[0010] The database is used to store the road surface conditions, vehicle density, traffic flow and cargo of various danger levels of each sub-section during each historical warning, as well as the total number of vehicles on the monitored section, alarm time, reception time of each vehicle that received the alarm, the total number of vehicles that did not receive the alarm and traffic accident reports during each historical congestion of the monitored section.

[0011] In the second aspect, the present invention provides a highway road condition perception and alarm method, comprising the following steps: S1, data acquisition: acquiring a monitoring section, setting each sub-section according to a preset distance threshold, and detecting the road surface condition, vehicle density and traffic flow of each sub-section.

[0012] S2. Congestion analysis: Obtain the road surface conditions, vehicle density and traffic volume of each sub-section, and obtain the road surface conditions, vehicle density and traffic volume of each sub-section at each historical warning from the database, and analyze whether each sub-section is congested. When there is a congested sub-section, it means that the monitored section is congested.

[0013] S3. Congestion alarm: When the monitored section is congested, the total number of vehicles on the monitored section is obtained, and it is analyzed whether each vehicle on the monitored section needs to be alarmed in batches. If alarms in batches are not required, all vehicles on the monitored section are alarmed at the same time. If alarms in batches are required, the alarm batches of each vehicle on the monitored section are analyzed, and alarms are issued according to the alarm batches of each vehicle on the monitored section.

[0014] The beneficial effects of the present invention are: 1. The present invention provides a highway road condition perception alarm device and method, which obtains a monitoring section and sets each sub-section according to a preset distance threshold, detects the road surface condition, vehicle density and traffic flow of each sub-section, and analyzes whether the monitoring section is congested. When the monitoring section is congested, the total number of vehicles on the monitoring section is obtained, and it is analyzed whether each vehicle on the monitoring section needs to be alarmed in batches. If alarms in batches are not required, each vehicle on the monitoring section is alarmed at the same time. If alarms in batches are required, the alarm batches of each vehicle on the monitoring section are analyzed, and alarms are issued according to the alarm batches of each vehicle on the monitoring section, thereby ensuring that each vehicle on the monitoring section receives an alarm, and also ensuring the accuracy of road congestion analysis and the timeliness of congestion alarms.

[0015] The present invention obtains the road surface conditions, vehicle density and traffic flow of each sub-section at each historical warning from a database, obtains the vehicle density warning value and traffic flow warning value of each sub-section under different road surface conditions, obtains the current road surface conditions of each sub-section, and obtains the vehicle density warning value and traffic flow warning value of each sub-section based on the current road surface conditions of each sub-section. At the same time, the vehicle density and traffic flow of each sub-section are compared with the vehicle density warning value and traffic flow warning value of each sub-section to determine whether each sub-section is congested. When there is a congested sub-section in the monitored section, it means that the monitored section is congested, thereby ensuring the accuracy of road congestion analysis.

[0016] 3. When the monitored section is congested, the present invention obtains from the database the total number of vehicles on the monitored section, the alarm time, the reception time of each vehicle that received the alarm, and the total number of vehicles that did not receive the alarm during each historical congestion of the monitored section, and simultaneously obtains the total number of vehicles on the current monitored section, and analyzes whether each vehicle on the current monitored section needs to be alarmed in batches. When each vehicle on the current monitored section does not need to be alarmed in batches, each vehicle on the monitored section is alarmed at the same time. When each vehicle on the current monitored section needs to be alarmed in batches, each accident-prone area on the monitored section is obtained from the database, and the position, speed, and cargo on board of each vehicle on the current monitored section are obtained. Traffic accident reports for each historical congestion of the monitored section are obtained from the database, and the alarm batches of each vehicle on the current monitored section are analyzed. Alarms are issued in sequence according to the alarm batches of each vehicle on the current monitored section, thereby ensuring that each vehicle on the monitored section receives an alarm and ensuring the timeliness of congestion alarms. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 This is a schematic diagram of the system structure connection of the present invention.

[0019] Figure 2 The figure is a schematic flow chart of the steps for implementing the method of the present invention. DETAILED DESCRIPTION

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0021] See also Figure 1 As shown, the present invention provides a highway road condition perception and alarm device, including: a data acquisition module, a congestion analysis module, a congestion alarm module and a database.

[0022] The data acquisition module is connected to the congestion analysis module, the congestion analysis module is connected to the congestion warning module, and the database is connected to the congestion analysis module and the congestion alarm module.

[0023] The data acquisition module is used to acquire the monitoring section, set each sub-section according to a preset distance threshold, and detect the road surface condition, vehicle density and traffic flow of each sub-section.

[0024] It should be noted that the preset distance threshold is a critical value used to determine whether the division of sub-segments is reasonable, and is set by relevant staff.

[0025] It should also be noted that road conditions include ice, snow, water and damage.

[0026] Among them, vehicle density and traffic flow are detected through coil detection technology, and road conditions are detected through infrared scanning technology and AI vision algorithms.

[0027] It needs to be explained that road surface images are acquired through infrared scanning technology, and the road surface images are visually processed in real time. At the same time, the texture features, color features and shape features of the road surface images are extracted, and the texture features, color features and shape features of the road surface images are identified using AI visual algorithms to obtain the road surface status.

[0028] The congestion analysis module is used to obtain the road surface conditions, vehicle density and traffic flow of each sub-section, and obtain the road surface conditions, vehicle density and traffic flow of each sub-section at each historical warning from the database, and analyze whether each sub-section is congested. When there is a congested sub-section, it means that the monitored section is congested.

[0029] In a specific embodiment, the congestion analysis module has the following specific process: obtaining the road surface conditions, vehicle density and traffic flow of each sub-section at each historical warning from the database, and obtaining the vehicle density warning value and traffic flow warning value of each sub-section under different road surface conditions.

[0030] Obtain the current road surface status of each sub-road section, and based on the current road surface status of each sub-road section, obtain the vehicle density warning value and traffic flow warning value of each sub-road section. At the same time, compare the current vehicle density and traffic flow of each sub-road section with the vehicle density warning value and traffic flow warning value of each sub-road section to obtain the congestion value of each sub-road section. When the congestion value of a sub-road section is 1, it means that the sub-road section is congested. When the congestion value of a sub-road section is 0, it means that the sub-road section is not congested. This method is used to determine whether each sub-road section is congested.

[0031] It should be noted that when the vehicle density of a sub-section is greater than the vehicle density warning value of the sub-path, or the traffic volume of the sub-section is greater than the traffic volume warning value of the sub-path, the congestion value of the sub-section is 1. When the vehicle density of a sub-section is less than the vehicle density warning value of the sub-path and the traffic volume of the sub-section is less than the traffic volume warning value of the sub-path, the congestion value of the sub-section is 0.

[0032] When there is a congested sub-section within the monitoring section, it means that the monitoring section is congested.

[0033] In the above, the vehicle density warning value and traffic flow warning value of each sub-section under different road conditions are obtained. The specific process is as follows: in each sub-section, the road surface conditions at each historical warning are compared, and the historical warnings with the same road surface conditions are divided into a warning group, and each warning group is obtained in this way.

[0034] In each warning group of each sub-road section, the road surface condition corresponding to the warning group is obtained, and the vehicle density and traffic flow of the sub-road section at each historical warning are compared. The minimum vehicle density and the minimum traffic flow are used as the vehicle density warning value and traffic flow warning value of the sub-road section under the road surface condition. In this way, the vehicle density warning value and traffic flow warning value of each sub-road section under different road surface conditions are obtained.

[0035] The congestion alarm module is used to obtain the total number of vehicles on the monitored section when the monitored section is congested, analyze whether each vehicle on the monitored section needs to be alarmed in batches, and if not, alarm each vehicle on the monitored section at the same time. If alarm is required in batches, analyze the alarm batches of each vehicle on the monitored section and alarm according to the alarm batches of each vehicle on the monitored section.

[0036] In a specific embodiment, the congestion alarm module has the following specific process: when the monitored section is congested, the total number of vehicles on the monitored section, the alarm time, the reception time of each vehicle that received the alarm, and the total number of vehicles that did not receive the alarm during each historical congestion of the monitored section are obtained from the database, and at the same time, the total number of vehicles on the current monitored section is obtained, and it is analyzed whether each vehicle on the current monitored section needs to be alarmed in batches.

[0037] When each vehicle on the current monitoring section does not need to be warned in batches, an alarm will be issued to each vehicle on the monitoring section at the same time. When each vehicle on the current monitoring section needs to be warned in batches, the accident-prone areas on the monitoring section will be obtained from the database, and the position, speed and cargo on board of each vehicle on the current monitoring section will be obtained. Traffic accident reports of each historical congestion on the monitoring section will be obtained from the database, the alarm batches of each vehicle on the current monitoring section will be analyzed, and alarms will be issued in sequence according to the alarm batches of each vehicle on the current monitoring section.

[0038] It should be noted that the alarm will be issued starting from the first alarm batch.

[0039] It should also be noted that the position and speed of each vehicle on the monitored road section are obtained through the Beidou positioning terminal.

[0040] Among them, high-definition cameras are used to collect vehicle images of the current sub-sections, and visual Transformer technology is used to identify the cargo on each vehicle on each sub-section.

[0041] It should also be noted that the traffic accident report contains information such as the vehicle that caused the traffic accident, the type of vehicle that caused the traffic accident, and the time of the accident.

[0042] In the above, the analysis of whether each vehicle on the current monitored section needs to be alarmed in batches is as follows: obtain the total number of vehicles on the monitored section, the alarm time, the reception time of each vehicle that received the alarm, and the total number of vehicles that did not receive the alarm during each historical congestion of the monitored section, and obtain the alarm effect return value during each historical congestion of the monitored section. If the alarm effect return value during a certain historical congestion of the monitored section is 1, it means that the alarm effect of the monitored section during that historical congestion was good. If the alarm effect return value during a certain historical congestion of the monitored section is 0, it means that the alarm effect of the monitored section during that historical congestion was poor.

[0043] It should be noted that the vehicles that receive the alarm are called marked vehicles. In each historical congestion of the monitored section, the difference between the time when each marked vehicle receives the alarm and the alarm time is calculated, and the average value is calculated, which is called the alarm duration. At the same time, the total number of vehicles that have not received the alarm is counted, and the proportion of vehicles that have not received the alarm is calculated. The alarm duration and the proportion of vehicles that have not received the alarm are compared with the preset duration threshold and the preset proportion threshold. If the alarm duration is greater than the preset duration threshold or the proportion of vehicles that have not received the alarm is greater than the preset proportion threshold, then the alarm effect return value for this congestion in the history of the monitored section is 0. If the alarm duration is less than the preset duration threshold and the proportion of vehicles that have not received the alarm is less than the preset proportion threshold, then the alarm effect return value for this congestion in the history of the monitored section is 1. This method is used to obtain the alarm effect return value for each historical congestion on the monitored section.

[0044] It should also be noted that the preset duration threshold and the preset proportion threshold are both critical values ​​used to judge the warning effect, and are set by relevant staff based on the ideal alarm effect.

[0045] The historical congestions with good alarm effects are called historical marked congestions. The total number of vehicles on the monitoring section during the historical marked congestions of the monitoring section is obtained and compared. The maximum total number of vehicles on the monitoring section is used as the total number of vehicles threshold, and the total number of vehicles on the current monitoring section is compared with the total number of vehicles threshold. If the total number of vehicles on the current monitoring section is less than the total number of vehicles threshold, then the vehicles on the current monitoring section do not need to be alarmed in batches. If the total number of vehicles on the current monitoring section is greater than the total number of vehicles threshold, then the vehicles on the current monitoring section need to be alarmed in batches.

[0046] In the above, the alarm batches of each vehicle on the current monitored section are analyzed, and the specific process is as follows: traffic accident reports of each historical congestion on the monitored section are obtained, and the historical congestion shown in the traffic accident report is called historical accident congestion. The vehicles that caused the traffic accident are obtained from the traffic reports of historical accident congestion, and are called each accident vehicle. At the same time, the vehicle type of each accident vehicle is obtained and compared, and the accident vehicles of the same vehicle type are divided into a group, and each vehicle group is obtained in this way.

[0047] It should be noted that vehicle types include mini trucks, light trucks, heavy trucks, light buses and medium-sized buses.

[0048] Obtain the vehicle type, cargo on board and vehicle groups of each vehicle on the current monitoring section, and obtain the danger level of the cargo on board each vehicle on the current monitoring section. At the same time, analyze the danger level of each vehicle on the current monitoring section, obtain each accident-prone area on the monitoring section, the position and speed of each vehicle on the current monitoring section, and obtain the alarm priority of each vehicle on the current monitoring section based on the danger level, position and speed of each vehicle on the current monitoring section, as well as the accident-prone area on the monitoring section. The alarm batch of each vehicle with an alarm priority of 1 is the first batch of alarms, the alarm batch of each vehicle with an alarm priority of 2 is the second batch of alarms, the alarm batch of each vehicle with an alarm priority of 3 is the second batch of alarms, and the alarm batch of each vehicle with an alarm priority of 4 is the fourth batch of alarms.

[0049] In the above, the specific process of obtaining the danger level of the cargo on each vehicle on the current monitored section is as follows: obtain each cargo of each danger level from the database, and use a high-definition camera to capture the vehicle image of each current sub-section, and identify the cargo on the vehicles on each sub-section, and compare the cargo on each vehicle on the current sub-section with the cargo of each danger level in the database. If the cargo on a vehicle on a certain sub-section is the same as the cargo of a certain danger level in the database, then the danger level is used as the danger level of the cargo on the vehicle on the sub-section. In this way, the danger level of the cargo on each vehicle on the current monitored section is obtained.

[0050] It should be noted that there are four levels of hazard levels for items in the database. For example, goods with a hazard level of one include people, water, and food; goods with a hazard level of two include hydrogen, pesticides, and fireworks; goods with a hazard level of three include sulfur and gasoline; and goods with a hazard level of four include explosives and detonators.

[0051] Among them, the higher the hazard level, the more dangerous the goods are.

[0052] In the above, the analysis of the danger level of each vehicle on the current monitoring section is as follows: count the number of vehicles involved in accidents and the total number of vehicles involved in accidents in each vehicle group, and calculate the vehicle proportion of each vehicle group, which is used as the accident proportion of the corresponding vehicle type of each vehicle group, obtain the vehicle type of each vehicle on the current monitoring section, obtain the accident proportion of each vehicle based on the vehicle type of each vehicle on the current monitoring section, and at the same time obtain the danger level of the cargo on each vehicle on the current monitoring section, and determine the danger level of each vehicle on the current monitoring section based on the accident proportion of each vehicle on the current monitoring section and the danger level of the cargo on the vehicle.

[0053] It should be noted that the total number of vehicles involved in accidents is obtained by adding up the number of vehicles involved in accidents during each historical congestion on the monitored road section.

[0054] It should also be noted that, for each vehicle, the vehicle's accident rate and the danger level of the cargo on the vehicle are compared with the preset accident rate threshold and the preset cargo danger level. If the vehicle's accident rate is greater than the preset accident rate threshold and the danger level of the cargo on the vehicle is greater than the preset cargo danger level, the vehicle's danger level is level three.

[0055] If the vehicle's accident ratio is greater than the preset accident ratio threshold and the danger level of the cargo on the vehicle is less than the preset cargo danger level, or the vehicle's accident ratio is less than the preset accident ratio threshold and the danger level of the cargo on the vehicle is greater than the preset cargo danger level, the vehicle's danger level is level two.

[0056] If the accident rate of the vehicle is less than the preset accident rate threshold, and the danger level of the cargo on the vehicle is less than the preset cargo danger level, the danger level of the vehicle is level one.

[0057] Among them, the vehicle proportion of each vehicle group is obtained and compared, and sorted in order from large to small. The vehicle group with the smallest vehicle proportion in the top 40% is selected, and the vehicle proportion of this vehicle group is used as the preset accident proportion threshold, and the preset cargo hazard level is level two.

[0058] It should also be noted that the higher the danger level of a vehicle, the more dangerous the vehicle is.

[0059] In the above, the alarm priority of each vehicle on the current monitored section is obtained, and the specific process is as follows: among each vehicle on the monitored section, the accident-prone place closest to the vehicle is called the marked accident-prone place, and the distance between the vehicle and the marked accident-prone place is calculated, and the distance between the vehicle and the marked accident-prone place, the vehicle's danger level and the vehicle speed are compared with the preset distance threshold, the preset danger level and the preset speed threshold to obtain the alarm priority of each vehicle. The alarm priorities include 1, 2, 3 and 4.

[0060] It should be noted that when the distance between the vehicle and the marked accident-prone area is less than a preset distance threshold, the vehicle's danger level is greater than a preset danger level, and the vehicle's speed is greater than a preset speed threshold, the vehicle's alarm priority is 1.

[0061] When the distance between the vehicle and the marked accident-prone area is greater than the preset distance threshold and the vehicle's danger level and speed are both greater than the preset values, or when the distance between the vehicle and the marked accident-prone area is less than the preset distance threshold and one of the vehicle's danger level and speed is greater than the preset values, the vehicle's alarm priority is 2.

[0062] When the distance between the vehicle and the marked accident-prone area is greater than the preset distance threshold and one of the vehicle's danger level and speed is greater than the preset value, or the distance between the vehicle and the marked accident-prone area is less than the preset distance threshold and both the vehicle's danger level and speed are less than the preset values, the vehicle's alarm priority is 3.

[0063] When the distance between the vehicle and the marked accident-prone area is greater than a preset distance threshold, the vehicle's danger level is less than a preset danger level, and the vehicle's speed is less than a preset speed threshold, the vehicle's alarm priority is 4.

[0064] Among them, the preset distance threshold and the preset speed threshold are set by relevant staff, and the preset danger level is level two.

[0065] The database is used to store the road surface conditions, vehicle density, traffic flow and cargo of various danger levels of each sub-section during each historical warning, as well as the total number of vehicles on the monitored section, alarm time, reception time of each vehicle that received the alarm, the total number of vehicles that did not receive the alarm and traffic accident reports during each historical congestion of the monitored section.

[0066] See also Figure 2 As shown, the present invention provides a highway road condition perception and alarm method, including: S1, data acquisition: acquiring a monitoring section, and setting each sub-section according to a preset distance threshold, and detecting the road surface condition, vehicle density and traffic flow of each sub-section.

[0067] S2. Congestion analysis: Obtain the road surface conditions, vehicle density and traffic volume of each sub-section, and obtain the road surface conditions, vehicle density and traffic volume of each sub-section at each historical warning from the database, and analyze whether each sub-section is congested. When there is a congested sub-section, it means that the monitored section is congested.

[0068] S3. Congestion alarm: When the monitored section is congested, the total number of vehicles on the monitored section is obtained, and it is analyzed whether each vehicle on the monitored section needs to be alarmed in batches. If alarms in batches are not required, all vehicles on the monitored section are alarmed at the same time. If alarms in batches are required, the alarm batches of each vehicle on the monitored section are analyzed, and alarms are issued according to the alarm batches of each vehicle on the monitored section.

[0069] The embodiment of the present invention obtains a monitoring section and sets each sub-section according to a preset distance threshold, detects the road surface condition, vehicle density and traffic flow of each sub-section, and analyzes whether the monitoring section is congested. When the monitoring section is congested, the total number of vehicles on the monitoring section is obtained, and it is analyzed whether each vehicle on the monitoring section needs to be alarmed in batches. If alarms in batches are not required, each vehicle on the monitoring section is alarmed at the same time. If alarms in batches are required, the alarm batches of each vehicle on the monitoring section are analyzed, and alarms are issued according to the alarm batches of each vehicle on the monitoring section, thereby ensuring that each vehicle on the monitoring section receives an alarm, and also ensuring the accuracy of road congestion analysis and the timeliness of congestion alarms.

[0070] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A highway road condition sensing and alarm device, characterized in that: Includes the following modules: The data acquisition module is used to obtain the monitoring section, set each sub-section according to the preset distance threshold, and detect the road surface condition, vehicle density and traffic flow of each sub-section; The congestion analysis module is used to obtain the road surface status, vehicle density and traffic flow of each sub-section, and obtain the road surface status, vehicle density and traffic flow of each sub-section at each historical warning from the database, and analyze whether each sub-section is congested. If there is a congested sub-section, it means that the monitored section is congested; The congestion alarm module is used to obtain the total number of vehicles on the monitored section when the monitored section is congested, analyze whether each vehicle on the monitored section needs to be alarmed in batches, and if not, alarm all vehicles on the monitored section at the same time. If alarming in batches is required, analyze the alarm batches of each vehicle on the monitored section and alarm according to the alarm batches of each vehicle on the monitored section; The database is used to store the road conditions, vehicle density, traffic volume and cargo of various danger levels of each sub-section during each historical warning, as well as the total number of vehicles on the monitored section during each historical congestion of the monitored section, the alarm time, the reception time of each vehicle that received the alarm, the total number of vehicles that did not receive the alarm and traffic accident reports.

2. The highway road condition sensing and alarming device according to claim 1, characterized in that: The congestion analysis module has the following specific process: Obtain the road surface conditions, vehicle density and traffic flow of each sub-section at each historical warning from the database, and obtain the vehicle density warning value and traffic flow warning value of each sub-section under different road surface conditions; Obtain the current road surface status of each sub-section, and based on the current road surface status of each sub-section, obtain the vehicle density warning value and traffic flow warning value of each sub-section. At the same time, compare the current vehicle density and traffic flow of each sub-section with the vehicle density warning value and traffic flow warning value of each sub-section to obtain the congestion value of each sub-section. When the congestion value of a sub-section is 1, it means that the sub-section is congested. When the congestion value of a sub-section is 0, it means that the sub-section is not congested. This method is used to determine whether each sub-section is congested. When there is a congested sub-section within the monitoring section, it means that the monitoring section is congested.

3. The highway road condition sensing and alarming device according to claim 2, characterized in that: The specific process of obtaining the vehicle density warning value and traffic flow warning value of each sub-section under different road conditions is as follows: In each sub-road section, the road surface conditions at each historical warning are compared, and historical warnings with the same road surface conditions are divided into a warning group, and each warning group is obtained in this way; In each warning group of each sub-road section, the road surface condition corresponding to the warning group is obtained, and the vehicle density and traffic flow of the sub-road section at each historical warning are compared. The minimum vehicle density and the minimum traffic flow are used as the vehicle density warning value and traffic flow warning value of the sub-road section under the road surface condition. In this way, the vehicle density warning value and traffic flow warning value of each sub-road section under different road surface conditions are obtained.

4. The highway road condition sensing and alarming device according to claim 1, characterized in that: The congestion alarm module has the following specific process: When the monitored section is congested, the total number of vehicles on the monitored section, the alarm time, the reception time of each vehicle that received the alarm, and the total number of vehicles that did not receive the alarm during each historical congestion of the monitored section are obtained from the database. At the same time, the total number of vehicles on the current monitored section is obtained, and it is analyzed whether each vehicle on the current monitored section needs to be alarmed in batches; When each vehicle on the current monitoring section does not need to be warned in batches, an alarm will be issued to each vehicle on the monitoring section at the same time. When each vehicle on the current monitoring section needs to be warned in batches, the accident-prone areas on the monitoring section will be obtained from the database, and the position, speed and cargo on board of each vehicle on the current monitoring section will be obtained. Traffic accident reports of each historical congestion on the monitoring section will be obtained from the database, the alarm batches of each vehicle on the current monitoring section will be analyzed, and alarms will be issued in sequence according to the alarm batches of each vehicle on the current monitoring section.

5. The highway road condition sensing and alarming device according to claim 4, characterized in that: The specific process of analyzing whether each vehicle on the current monitored road section needs to be alarmed in batches is as follows: Get the total number of vehicles on the monitored section, alarm time, reception time of each vehicle that received the alarm, and the total number of vehicles that did not receive the alarm during each historical congestion of the monitored section, and get the alarm effect return value during each historical congestion of the monitored section. If the alarm effect return value during a certain historical congestion of the monitored section is 1, it means that the alarm effect of the monitored section during this historical congestion is good. If the alarm effect return value during a certain historical congestion of the monitored section is 0, it means that the alarm effect of the monitored section during this historical congestion is poor. The historical congestions with good alarm effects are called historical marked congestions. The total number of vehicles on the monitoring section during the historical marked congestions of the monitoring section is obtained and compared. The maximum total number of vehicles on the monitoring section is used as the total number of vehicles threshold, and the total number of vehicles on the current monitoring section is compared with the total number of vehicles threshold. If the total number of vehicles on the current monitoring section is less than the total number of vehicles threshold, then the vehicles on the current monitoring section do not need to be alarmed in batches. If the total number of vehicles on the current monitoring section is greater than the total number of vehicles threshold, then the vehicles on the current monitoring section need to be alarmed in batches.

6. The highway road condition sensing and alarming device according to claim 4, characterized in that: The specific process of analyzing the alarm batches of each vehicle on the current monitored road section is as follows: Obtain traffic accident reports for each historical congestion of the monitored road section, referencing each historical congestion at which a traffic accident occurred as indicated in the traffic accident report as a historical accident congestion, obtain the vehicles that caused the traffic accident from the traffic reports for each historical accident congestion, and refer to them as accident vehicles, obtain the vehicle type of each accident vehicle and compare them, grouping accident vehicles of the same type together, and using this method to obtain vehicle groups; Obtain the vehicle type, cargo on board and vehicle groups of each vehicle on the current monitoring section, and obtain the danger level of the cargo on board each vehicle on the current monitoring section. At the same time, analyze the danger level of each vehicle on the current monitoring section, obtain each accident-prone area on the monitoring section, the position and speed of each vehicle on the current monitoring section, and obtain the alarm priority of each vehicle on the current monitoring section based on the danger level, position and speed of each vehicle on the current monitoring section, as well as the accident-prone area on the monitoring section. The alarm batch of each vehicle with an alarm priority of 1 is the first batch of alarms, the alarm batch of each vehicle with an alarm priority of 2 is the second batch of alarms, the alarm batch of each vehicle with an alarm priority of 3 is the second batch of alarms, and the alarm batch of each vehicle with an alarm priority of 4 is the fourth batch of alarms.

7. The highway road condition sensing and alarming device according to claim 6, characterized in that: The specific process of obtaining the danger level of cargo on each vehicle on the current monitored road section is as follows: The cargo of each hazard level is obtained from the database, and the vehicle images of the current sub-section are collected by high-definition cameras, and the cargo on the vehicles on each sub-section is identified. The cargo on the vehicles on the current sub-section is compared with the cargo of each hazard level in the database. If the cargo on a vehicle on a current sub-section is the same as the cargo of a certain hazard level in the database, then the hazard level is used as the hazard level of the cargo on the vehicle on the sub-section. In this way, the hazard level of the cargo on each vehicle on the current monitored section is obtained.

8. The highway road condition sensing and alarming device according to claim 6, characterized in that: The specific process of analyzing the danger level of each vehicle on the current monitored road section is as follows: Count the number of vehicles involved in accidents and the total number of vehicles involved in accidents in each vehicle group, and calculate the vehicle proportion of each vehicle group, which is used as the accident proportion of the corresponding vehicle type of each vehicle group, and obtain the vehicle type of each vehicle on the current monitoring section. According to the vehicle type of each vehicle on the current monitoring section, obtain the accident proportion of each vehicle, and at the same time obtain the danger level of the cargo on each vehicle on the current monitoring section. According to the accident proportion of each vehicle on the current monitoring section and the danger level of the cargo on the vehicle, determine the danger level of each vehicle on the current monitoring section.

9. The highway road condition sensing and alarming device according to claim 6, characterized in that: The specific process of obtaining the alarm priority of each vehicle on the current monitoring section is as follows: Among the vehicles on the monitored road section, the accident-prone area closest to the vehicle is called the marked accident-prone area, and the distance between the vehicle and the marked accident-prone area is calculated. The distance between the vehicle and the marked accident-prone area, the vehicle's danger level and the vehicle speed are compared with the preset distance threshold, the preset danger level and the preset speed threshold to obtain the alarm priority of each vehicle. The alarm priorities include 1, 2, 3 and 4.

10. A highway road condition perception and alarm method for executing the highway road condition perception and alarm device according to any one of claims 1 to 9, characterized in that: include: S1. Data acquisition: Acquire the monitored road section, set up each sub-section according to the preset distance threshold, and detect the road surface condition, vehicle density and traffic flow of each sub-section; S2. Congestion Analysis: Obtain the road surface conditions, vehicle density, and traffic volume of each sub-section, and obtain the road surface conditions, vehicle density, and traffic volume of each sub-section at each historical warning from the database, and analyze whether each sub-section is congested. If there is a congested sub-section, it means that the monitored section is congested; S3. Congestion alarm: When the monitored section is congested, the total number of vehicles on the monitored section is obtained, and it is analyzed whether each vehicle on the monitored section needs to be alarmed in batches. If alarms in batches are not required, all vehicles on the monitored section are alarmed at the same time. If alarms in batches are required, the alarm batches of each vehicle on the monitored section are analyzed, and alarms are issued according to the alarm batches of each vehicle on the monitored section.

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