A highway construction inspection system

Abstract

The invention discloses a highway construction inspection system, and relates to the technical field of construction inspection. The invention comprises: a highway construction information acquisition unit, an intelligent vehicle construction area inspection unit, an inspection feedback processing unit and a local database. The invention reduces the occurrence rate of the situation that the passing vehicles in the adjacent lanes are scratched against the fences of the construction area of ​​the highway due to the problem of blurred vision in rainy days by appropriately moving the fences to the inside of the construction area on rainy days. At the same time, on rainy days, the intelligent vehicle continuously inspects the fences of the construction area of ​​the highway to ensure that the fences of the construction area of ​​the highway will not be excessively tilted, thereby ensuring the construction safety of the construction area of ​​the highway, and automatically operating the intelligent vehicle to return to the initial position at regular intervals, thereby ensuring the accurate positioning of the intelligent vehicle, thereby improving the accuracy of the inspection.

Description

Technical Field

[0001] The invention relates to the technical field of construction inspection, and in particular to a highway construction inspection system. Background Art

[0002] There are a large number of highways. Many of the initially constructed highways often require multiple maintenance and construction due to reasons such as their service life and environmental damage. Due to improper supervision in some construction areas, there is sometimes a danger that the fences in the construction area will tilt toward the adjacent lanes in heavy rain and strong winds. If the visibility is poor on rainy days, it is easy for drivers to be unable to distinguish in time, resulting in traffic accidents. Therefore, it is very necessary to inspect the construction areas of highways on rainy days.

[0003] Prior art, such as the invention patent application with announcement number: CN118553088A, discloses a highway operation area patrol joint control and early warning system using the Internet of Things cloud service, the system includes: solving the problem that the existing monitoring and early warning equipment cannot realize the traffic situation monitoring of all key areas and the control of the construction status of the operation area, and it is difficult to give timely and effective early warning to the operators; including: AI patrol terminal: generating detection signals based on patrol data recognition; cloud platform: extracting abnormal signals in the detection signals and the corresponding positioning information; generating early warning instructions based on the abnormal signals and positioning information; and sending the early warning instructions to the management department; making the early warning during the inspection of the highway operation area more flexible and timely.

[0004] Prior art, such as the invention patent application with announcement number: CN118116196A, discloses a method and system for monitoring the construction safety of a highway reconstruction and expansion project. The system includes: obtaining maintenance width information, and determining the enclosure area according to the maintenance width information; obtaining maintenance equipment information, and determining the equipment activity interval according to the maintenance equipment information; judging whether the maintenance equipment activity interval is greater than the maintenance width information, if so, expanding the enclosure area so that the enclosure area is greater than the maintenance equipment activity interval, if not, maintaining the original enclosure area; uploading the enclosure area information, synchronizing it to the vehicle navigation system, and setting guide signs on the road. This application has the effect of reducing safety accidents during construction.

[0005] With regard to the above scheme, it can be seen that the current highway construction inspection system lacks certain attention to the use of smart cars for automatic inspection with repositioning on rainy days. Most of the existing technologies use drones for inspection. However, drones are often unusable in rainy conditions. At this time, it is necessary to use smart cars that are less affected by weather to conduct inspections. When using smart cars in construction areas, it is necessary to position the smart cars in real time. However, due to the influence of clouds and moisture on rainy days, the existing positioning algorithms cannot completely avoid errors. Smart cars will continuously accumulate positioning deviation values ​​when running on rainy days. If they are not repositioned, the positioning of the smart cars will be distorted, making it impossible to match the position with the analysis data. At the same time, for There is a lack of attention paid to the adjustment of fences based on weather and data from adjacent lanes in the construction area. During highway construction, fences are needed to enclose the construction site. The fences will inevitably tilt during installation. When there is heavy precipitation and high wind speed on rainy days, the impact of the rain and the thrust generated by the wind will cause the fences to further tilt, endangering the safety of the surrounding lanes. In addition, due to poor visibility on rainy days, if the fences are installed close to the adjacent lanes where driving is allowed, and the drivers of the adjacent lanes have little driving experience, if the fences are not adjusted inward appropriately, the lack of experience of the drivers may cause the vehicles to scratch the fences, thereby endangering the safety of the construction site and the personal safety of the drivers. Summary of the invention

[0006] The purpose of the present invention is to provide a highway construction inspection system that solves the problems existing in the background technology.

[0007] To solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides a highway construction inspection system, including: a highway construction information acquisition unit, which is used to obtain various construction-related information in the construction area of ​​the highway when it rains in the construction area of ​​the highway.

[0008] The expressway construction information acquisition unit includes: a construction area environment information acquisition module and an adjacent lane vehicle information acquisition module.

[0009] The construction area environmental information acquisition module is used to obtain the cloud thickness and rainfall per unit time in the construction area of ​​the expressway when it rains in the construction area of ​​the expressway.

[0010] The adjacent lane vehicle information acquisition module is used to acquire the vehicle model and driver's age of each vehicle entering the expressway within a target monitoring time period at the entrance of the expressway where the construction area is located.

[0011] The smart car construction area inspection unit is used to determine the inspection plan of the smart car in the construction area of ​​the expressway, and dispatch the smart car to inspect the edge fences of the construction area of ​​the expressway, obtain the inspection information of the edge fences of the construction area of ​​the expressway, and analyze it.

[0012] The intelligent vehicle construction area inspection unit comprises: an intelligent vehicle inspection module, a fence information acquisition module, a fence edge adjustment module and a fence threat analysis module.

[0013] The intelligent car inspection module is used to analyze the rainy day positioning signal reduction coefficient of the construction area of ​​the expressway on rainy days, calculate the repositioning interval of the intelligent car in the construction area of ​​the expressway during rainy day inspections, start the intelligent car to continuously inspect the edge fences of the construction area of ​​the expressway, and use real-time positioning and map construction technology to determine the real-time position of the intelligent car.

[0014] The fence information acquisition module is used to obtain, through the intelligent car, the shortest distance between the fence and each adjacent lane in the construction area of ​​the expressway within the target time period, the inclination direction and inclination angle of each fence, and the wind speed and wind direction at the location.

[0015] The enclosure edge adjustment module is used to analyze the inward offset value of the enclosures of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days.

[0016] The fence threat analysis module is used to analyze the tilt threat coefficient of each fence in the construction area of ​​the expressway, screen the threatening fences in the construction area of ​​the expressway, and determine the location of each threatening fence in the construction area of ​​the expressway through the real-time position of the smart car.

[0017] The inspection feedback processing unit is used to send the analysis data of the construction area of ​​the expressway to the person in charge of the expressway construction, adjust the expressway construction area, and use the smart car to perform re-inspection operations.

[0018] The inspection feedback processing unit includes: a construction area adjustment module and an intelligent vehicle re-inspection module.

[0019] The construction area adjustment module is used to send the positions of each threatening fence in the construction area of ​​the expressway and the inward offset value of the fence of each adjacent lane within the target monitoring time period on rainy days to the person in charge of the expressway construction.

[0020] The smart car re-inspection module is used to return the smart car to the initial position for a re-positioning operation during the re-positioning interval of the smart car during the rainy day inspection each time the smart car passes through the construction area of ​​the expressway. After re-positioning, the smart car continues to inspect.

[0021] The beneficial effects of the present invention are as follows: (1) The highway construction information acquisition unit of the present invention acquires relevant information of the construction area of ​​the highway and relevant information of each vehicle entering the highway on rainy days, thereby facilitating subsequent analysis.

[0022] (2) The smart car construction area inspection unit of the present invention calculates the interval between each repositioning of the smart car based on the weather data of the highway construction area on rainy days, thereby ensuring that the smart car will not have positioning distortion problems. In addition, the fence will be appropriately moved toward the inside of the construction area on rainy days to reduce the incidence of vehicles in adjacent lanes scratching the fences of the highway construction area due to blurred vision on rainy days. At the same time, on rainy days, the smart car continuously inspects the fences of the highway construction area to ensure that the fences of the highway construction area will not tilt excessively, thereby avoiding collisions with surrounding passing vehicles due to excessive tilting. This ensures the construction safety of the highway construction area while improving the safety of surrounding passing vehicles.

[0023] (3) The inspection feedback processing unit of the present invention can ensure the accurate positioning of the smart car by giving early warning to the person in charge of highway construction, prompting him to perform safety assurance operations, and automatically operating the smart car to return to the initial position at regular intervals, thereby reducing the incidence of positioning distortion of the smart car due to reduced satellite signal strength on rainy days, and avoiding the smart car from being unable to accurately feedback the geographical location of the problematic place to the person in charge of highway construction due to positioning distortion, thereby improving the accuracy of inspection. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 creative work.

[0025] Figure 1 It is a schematic diagram of the system module of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0027] Reference Figure 1 As shown, the present invention provides a highway construction inspection system, including: a highway construction information acquisition unit, an intelligent vehicle construction area inspection unit, an inspection feedback processing unit and a local database.

[0028] It should be noted that the highway construction information acquisition unit is connected to the smart car construction area inspection unit, the smart car construction area inspection unit is connected to the inspection feedback processing unit, and the local database is connected to the highway construction information acquisition unit, the smart car construction area inspection unit, and the inspection feedback processing unit.

[0029] It should also be noted that the local database is used to store the suitable cloud thickness range and the maximum allowable rainfall per unit time when the smart car in the construction area of ​​the expressway receives the positioning signal, the repositioning interval corresponding to the positioning signal reduction coefficient interval of the smart car in the construction area of ​​the expressway on each rainy day, the inward offset value of the fence corresponding to each vehicle threat coefficient interval, the suitable driving age and the suitable number of vehicles traveling per unit time corresponding to each vehicle driving danger coefficient interval, the width of a single lane of the expressway, the minimum speed limit of the expressway, the gravity of the fence itself, the thrust generated by the fence in a vertical upright state under the condition of unit wind speed value, the impact force generated by the rainfall per unit time, and the tilt threat coefficient threshold.

[0030] The expressway construction information acquisition unit is used to acquire various construction related information in the construction area of ​​the expressway when it rains in the construction area of ​​the expressway.

[0031] It should be noted that the construction-related information includes: the cloud thickness in the construction area of ​​the expressway, the rainfall per unit time, the type of vehicles entering the expressway during the target monitoring time period, and the driving experience of the drivers.

[0032] In a specific embodiment of the present invention, the highway construction information acquisition unit includes: a construction area environment information acquisition module and an adjacent lane vehicle information acquisition module.

[0033] The construction area environmental information acquisition module is used to obtain the cloud thickness and rainfall per unit time in the construction area of ​​the expressway when it rains in the construction area of ​​the expressway.

[0034] In a specific embodiment, the cloud thickness and rainfall per unit time in the construction area of ​​the expressway are obtained by a specific method: obtaining the cloud thickness and rainfall per unit time in the construction area of ​​the expressway through a meteorological management platform.

[0035] The adjacent lane vehicle information acquisition module is used to acquire the vehicle model and driver's age of each vehicle entering the expressway within a target monitoring time period at the entrance of the expressway where the construction area is located.

[0036] In a specific embodiment, the vehicle model and the driving age of the driver of each vehicle entering the expressway within the target monitoring time period are obtained by the following specific method: when each vehicle enters the expressway through a toll station, the driving age of the driver of each vehicle entering the expressway within the target monitoring time period is obtained through ETC (electronic toll collection), and the vehicle model of each vehicle entering the expressway within the target monitoring time period is obtained through the camera at the toll station.

[0037] It should be noted that the time period during which the smart car conducts a complete inspection along the construction area of ​​the highway is used as the target monitoring time period.

[0038] The highway construction information acquisition unit of the present invention acquires relevant information of the construction area of ​​the highway and relevant information of each vehicle entering the highway on rainy days, thereby facilitating subsequent analysis.

[0039] The smart car construction area inspection unit is used to determine the inspection plan of the smart car in the construction area of ​​the expressway, and dispatch the smart car to inspect the edge fences of the construction area of ​​the expressway, obtain the inspection information of the edge fences of the construction area of ​​the expressway, and analyze the inspection information to obtain the analysis data of the construction area of ​​the expressway.

[0040] It should be noted that the analysis data include: the inward offset value of the fences of each adjacent lane in the construction area of ​​the expressway during the target monitoring time period on rainy days, and the location of each threatening fence in the construction area of ​​the expressway.

[0041] In a specific embodiment of the present invention, the smart car construction area inspection unit includes: a smart car inspection module, a fence information acquisition module, a fence edge adjustment module and a fence threat analysis module.

[0042] The intelligent car inspection module is used to analyze the rainy day positioning signal reduction coefficient of the construction area of ​​the expressway on rainy days, calculate the repositioning interval of the intelligent car in the construction area of ​​the expressway during rainy day inspections, start the intelligent car to continuously inspect the edge fences of the construction area of ​​the expressway, and use real-time positioning and map construction technology to determine the real-time position of the intelligent car.

[0043] The fence information acquisition module is used to obtain, through the intelligent car, the shortest distance between the fence and each adjacent lane in the construction area of ​​the expressway within the target time period, the inclination direction and inclination angle of each fence, and the wind speed and wind direction at the location.

[0044] It should be noted that the adjacent lanes of the present invention are adjacent lanes in the left and right directions of the construction area of ​​the expressway. If the construction area of ​​the expressway has only adjacent lanes on one side, only the data of the single side needs to be calculated.

[0045] In a specific embodiment, the shortest distance between the fences in the construction area of ​​the expressway and each adjacent lane, the inclination direction and inclination angle of each fence, and the wind speed and wind direction at the location are obtained in the target time period. The specific acquisition method is as follows: a range image formed by the fences in the construction area of ​​the expressway is drawn by a smart car, and the shortest distance between the fences in the construction area of ​​the expressway and each adjacent lane is obtained based on the range image; an image of each fence in the construction area of ​​the expressway in the target time period is obtained by a camera of the smart car, and the inclination direction and inclination angle of each fence in the construction area of ​​the expressway in the target time period are obtained by image recognition technology; the wind speed and wind direction sensor carried by the smart car is used to obtain the wind speed and wind direction at the location of each fence in the construction area of ​​the expressway in the target time period.

[0046] The enclosure edge adjustment module is used to analyze the inward offset value of the enclosures of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days.

[0047] The fence threat analysis module is used to analyze the tilt threat coefficient of each fence in the construction area of ​​the expressway, screen the threatening fences in the construction area of ​​the expressway, and determine the location of each threatening fence in the construction area of ​​the expressway through the real-time position of the smart car.

[0048] In a specific embodiment of the present invention, the rainy day positioning signal reduction coefficient of the construction area of ​​the expressway is analyzed, and the specific analysis method is: obtaining the suitable cloud thickness interval and the maximum allowable rainfall per unit time g of the smart car in the construction area of ​​the expressway when receiving the positioning signal from the local database, and extracting the maximum value h of the suitable cloud thickness interval when the smart car in the construction area of ​​the expressway receives the positioning signal.

[0049] According to the cloud thickness G and rainfall per unit time H in the construction area of ​​the expressway, the rainy day positioning signal reduction coefficient of the construction area of ​​the expressway is analyzed. , where e is represented by a natural constant.

[0050] In a specific embodiment of the present invention, the repositioning interval duration of the smart car in the construction area of ​​the expressway during rainy day inspections is calculated by the following specific calculation method: the repositioning interval duration corresponding to the positioning signal reduction coefficient interval of the smart car in the construction area of ​​the expressway in each rainy day is obtained from the local database, and the repositioning interval duration of the smart car in the construction area of ​​the expressway during rainy day inspections is mapped according to the positioning signal reduction coefficient of the construction area of ​​the expressway.

[0051] In a specific embodiment of the present invention, the inward offset value of the fence of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days is analyzed, and the specific analysis method is as follows: based on the model of each vehicle entering the expressway within the target monitoring time period and the driving age of the driver, the vehicle threat coefficient of each adjacent lane in the construction area of ​​the expressway is calculated.

[0052] It should be noted that the present invention simulates the threat to the construction area of ​​the expressway when vehicles are driving to the greatest extent by simulating extreme situations. If the model of a vehicle entering the expressway during the target monitoring time period is allowed to travel on a certain adjacent lane, it is considered that the vehicle must be traveling on the adjacent lane, thereby obtaining an upper limit on the number of vehicles allowed to enter the expressway during the target monitoring time period and allowed to travel on each adjacent lane in the construction area, thereby reducing the impact of the randomness of the number of vehicles entering the expressway during the target monitoring time period.

[0053] The inward offset value of the enclosure corresponding to each vehicle threat coefficient interval is obtained from the local database, and the inward offset value of the enclosure of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days is mapped.

[0054] It should be noted that the greater the vehicle threat coefficient, the greater the inward offset value of the fence, and the inward offset of the fence is towards the inner direction of the construction area.

[0055] It should also be noted that the more permitted vehicles that enter the expressway during the target monitoring time period and are allowed to travel in the adjacent lanes in the construction area, the greater the inward offset value of the fence; the older the driving experience of the drivers of the permitted vehicles that enter the expressway during the target monitoring time period and are allowed to travel in the adjacent lanes in the construction area, the smaller the inward offset value of the fence.

[0056] In a specific embodiment of the present invention, the vehicle threat coefficient of each adjacent lane of the construction area of ​​the expressway is calculated, and its specific calculation method is as follows: each allowed vehicle type of each adjacent lane of the construction area of ​​the expressway is obtained from the construction plan, and each allowed vehicle that enters the expressway during the target monitoring time period and is allowed to travel in each adjacent lane of the construction area is mapped according to the vehicle type of each vehicle entering the expressway during the target monitoring time period, and the number of allowed vehicles that enter the expressway during the target monitoring time period and are allowed to travel in each adjacent lane of the construction area is counted. , where i represents the number of each adjacent lane, .

[0057] Based on the driving experience of the drivers of each vehicle that enters the expressway during the target monitoring period, extract the driving experience of each driver of each vehicle that enters the expressway during the target monitoring period and is allowed to drive in each adjacent lane in the construction area , where n represents the number of each vehicle allowed to travel, , m is a positive integer greater than 2.

[0058] Calculate the vehicle driving hazard coefficient of the fences in the construction area of ​​the expressway and each adjacent lane.

[0059] Obtain the appropriate driving age corresponding to each vehicle driving risk coefficient interval and the appropriate number of vehicles traveling per unit time from the local database, and map the appropriate driving age of each adjacent lane in the construction area of ​​the highway The number of vehicles suitable for driving in a unit time is calculated based on the duration of the target time period and the number of vehicles suitable for driving in each adjacent lane of the construction area of ​​the expressway in the target time period. .

[0060] Calculate the vehicle threat coefficient of each adjacent lane in the construction area of ​​the highway , where m is the number of vehicles allowed to travel.

[0061] In a specific embodiment of the present invention, the specific calculation method for calculating the vehicle driving risk coefficient of the fence and each adjacent lane in the construction area of ​​the expressway is: obtaining the width A of a single lane of the expressway from a local database.

[0062] Obtain the permissible speed range of each adjacent lane in the construction area of ​​the expressway from the construction plan, and extract the maximum permissible speed of each adjacent lane in the construction area of ​​the expressway .

[0063] The minimum speed limit B of the expressway is obtained from the local database, and the shortest distance between the fence and each adjacent lane in the construction area of ​​the expressway during the target time period is calculated. , calculate the vehicle driving risk coefficient of the fences and adjacent lanes in the construction area of ​​the expressway .

[0064] In a specific embodiment of the present invention, the tilt threat coefficient of each fence of the construction area of ​​the expressway is analyzed, and the specific analysis method is: according to the tilt direction of each fence of the construction area of ​​the expressway, and according to the wind direction of the location of each fence of the construction area of ​​the expressway, the vector angle formed by the two directions is used as the vector angle between the wind direction and the tilt direction of each fence of the construction area of ​​the expressway , where p is the number of each enclosure, , q is a positive integer greater than 2.

[0065] The gravity L of the fence itself, the thrust T generated by the fence in a vertical erected state under unit wind speed conditions, and the impact force R generated by rainfall per unit time are obtained from the local database.

[0066] According to the inclination angle of each fence in the construction area of ​​the expressway , wind speed value at the location , calculate the thrust exerted by the wind speed on each enclosure in the construction area of ​​the expressway .

[0067] Analyze the tilt threat coefficient of each fence in the construction area of ​​the expressway .

[0068] In a specific embodiment, the screening of the threatening fences in the construction area of ​​the expressway is performed by obtaining a tilt threat coefficient threshold from a local database, comparing the tilt threat coefficient of each fence in the construction area of ​​the expressway with the tilt threat coefficient threshold; if the tilt threat coefficient of a fence in the construction area of ​​the expressway is greater than the tilt threat coefficient threshold, marking the fence as a threatening fence, thereby screening the threatening fences in the construction area of ​​the expressway.

[0069] The intelligent car construction area inspection unit of the present invention calculates the interval time of each repositioning of the intelligent car through the weather data of the construction area of ​​the expressway on rainy days, thereby ensuring that the intelligent car will not have the problem of positioning distortion, and appropriately moves the fence to the inside of the construction area on rainy days, thereby reducing the incidence of passing vehicles in adjacent lanes scratching the fences of the construction area of ​​the expressway due to the problem of blurred vision on rainy days. At the same time, on rainy days, the intelligent car continuously inspects the fences of the construction area of ​​the expressway, thereby ensuring that the fences of the construction area of ​​the expressway will not tilt excessively, and avoiding the fences from colliding with surrounding passing vehicles due to excessive tilt, thereby ensuring the construction safety of the construction area of ​​the expressway and improving the safety of surrounding passing vehicles.

[0070] The inspection feedback processing unit is used to send various analysis data of the construction area of ​​the expressway to the person in charge of the expressway construction, adjust the expressway construction area, and use the smart car to perform re-inspection operations.

[0071] In a specific embodiment of the present invention, the inspection feedback processing unit includes: a construction area adjustment module and an intelligent vehicle re-inspection module.

[0072] The construction area adjustment module is used to send the positions of each threatening fence in the construction area of ​​the expressway and the inward offset value of the fence of each adjacent lane within the target monitoring time period on rainy days to the person in charge of the expressway construction.

[0073] The smart car re-inspection module is used to return the smart car to the initial position for a re-positioning operation during each re-positioning interval of the smart car during rainy day inspections when passing through the construction area of ​​the expressway. After re-positioning, the smart car continues to inspect.

[0074] The inspection feedback processing unit of the present invention can ensure the accurate positioning of the smart car by giving an early warning to the person in charge of highway construction, prompting him to perform safety assurance operations, and automatically operating the smart car to return to the initial position at regular intervals, thereby reducing the occurrence rate of the problem of positioning distortion of the smart car due to the reduction of satellite signal strength on rainy days, and avoiding the situation where the smart car is unable to accurately feedback the geographical location of the problematic place to the person in charge of highway construction due to positioning distortion, thereby improving the accuracy of inspection.

[0075] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described 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 by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A highway construction inspection system, characterized in that: include: The highway construction information acquisition unit is used to acquire various construction related information of the highway construction area when it rains in the highway construction area; The highway construction information acquisition unit includes: a construction area environment information acquisition module and an adjacent lane vehicle information acquisition module; The construction area environmental information acquisition module is used to obtain the cloud thickness and rainfall per unit time in the construction area of ​​the expressway when it rains in the construction area of ​​the expressway; The adjacent lane vehicle information acquisition module is used to obtain the vehicle model and driver's age of each vehicle entering the expressway within the target monitoring time period at the entrance of the expressway where the construction area is located; The smart car construction area inspection unit is used to determine the inspection plan of the smart car in the construction area of ​​the expressway, and dispatch the smart car to inspect the edge fences of the construction area of ​​the expressway, obtain the inspection information of the edge fences of the construction area of ​​the expressway, and analyze it, so as to obtain the analysis data of the construction area of ​​the expressway; The smart car construction area inspection unit includes: a smart car inspection module, a fence information acquisition module, a fence edge adjustment module and a fence threat analysis module; The intelligent car inspection module is used to obtain the suitable cloud thickness interval and the maximum allowable rainfall per unit time g of the intelligent car in the construction area of ​​the expressway when receiving the positioning signal from the local database on rainy days, extract the maximum value h of the suitable cloud thickness interval when the intelligent car in the construction area of ​​the expressway receives the positioning signal, analyze the rainy day positioning signal reduction coefficient of the construction area of ​​the expressway according to the cloud thickness G and the rainfall per unit time H of the construction area of ​​the expressway, calculate the repositioning interval duration of the intelligent car in the construction area of ​​the expressway during the rainy day inspection, start the intelligent car to continuously inspect along the edge fences of the construction area of ​​the expressway, and use the real-time positioning and map construction technology to determine the real-time position of the intelligent car; The specific analysis method for analyzing the rainy day positioning signal reduction coefficient of the construction area of ​​the expressway is as follows: Where e represents a natural constant; The fence information acquisition module is used to obtain, through the intelligent car, the shortest distance between the fence and each adjacent lane in the construction area of ​​the expressway within the target time period, the inclination direction and inclination angle of each fence, and the wind speed and wind direction at the location; The enclosure edge adjustment module is used to analyze the inward offset value of the enclosures of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days; The specific analysis method for analyzing the inward offset value of the enclosure of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days is as follows: Obtain the permitted vehicle types of each adjacent lane in the construction area of ​​the expressway from the construction plan. Map the permitted vehicles that enter the expressway and are permitted to travel in the adjacent lanes of the construction area during the target monitoring period based on the vehicle types of each vehicle that enters the expressway during the target monitoring period. Count the number of permitted vehicles that enter the expressway and are permitted to travel in the adjacent lanes of the construction area during the target monitoring period. i , where i represents the number of each adjacent lane, i = 1, 2; According to the driving experience of the drivers of each vehicle entering the expressway during the target monitoring period, the driving experience of each driver of the vehicles allowed to enter the expressway during the target monitoring period and allowed to drive in each adjacent lane of the construction area is extracted. in , where n represents the number of each vehicle allowed to travel, n = 1, 2, ..., m, and m is a positive integer greater than 2; Obtain the width A of a single lane of the highway from the local database; The allowed speed range of each adjacent lane in the construction area of ​​the expressway is obtained from the construction plan, and the maximum allowed speed d of each adjacent lane in the construction area of ​​the expressway is extracted. i ; The minimum speed limit B of the highway is obtained from the local database, and the shortest distance c between the fence of the construction area of ​​the highway and each adjacent lane during the target time period is calculated. i , calculate the vehicle driving risk coefficient of the fences and adjacent lanes in the construction area of ​​the expressway; Obtain the appropriate driving age corresponding to each vehicle driving risk coefficient interval and the appropriate number of vehicles traveling per unit time from the local database, and map the appropriate driving age f of each adjacent lane in the construction area of ​​the highway i and the number of vehicles suitable for driving in a unit time. According to the duration of the target time period, the number of vehicles suitable for driving in each adjacent lane of the construction area of ​​the expressway in the target time period is calculated. i , calculate the vehicle threat coefficient of each adjacent lane in the construction area of ​​the expressway; Obtain the inward offset value of the enclosure corresponding to each vehicle threat coefficient interval from the local database, and map the inward offset value of the enclosure of each adjacent lane in the construction area of ​​the expressway within the target monitoring time period on rainy days; The specific calculation method for calculating the vehicle driving risk coefficient of the fences and adjacent lanes in the construction area of ​​the expressway is as follows: The vehicle threat coefficient of each adjacent lane in the construction area of ​​the expressway is obtained by calculation, and the specific calculation method is: Where m is the number of vehicles allowed to travel; The fence threat analysis module is used to use the vector angle formed by the two directions as the vector angle k between the wind direction and the inclination direction of each fence in the construction area of ​​the expressway according to the inclination direction of each fence in the construction area of ​​the expressway and the wind direction of the location of each fence in the construction area of ​​the expressway. p , where p is the number of each enclosure, p = 1, 2, ..., q, q is a positive integer greater than 2; Obtain from the local database the gravity L of the fence itself, the thrust T generated by the fence in a vertically erected state under the condition of unit wind speed, and the impact force R generated by the rainfall per unit time; According to the inclination angle t of each fence in the construction area of ​​the expressway p , the wind speed value r at the location p , analyze the tilt threat coefficient of each fence in the construction area of ​​the expressway, screen the threat fences in the construction area of ​​the expressway, and determine the location of each threat fence in the construction area of ​​the expressway through the real-time location of the smart car; The specific analysis method for analyzing the tilt threat coefficient of each fence in the construction area of ​​the expressway is as follows: Calculate the thrust λ exerted by the wind speed on each enclosure in the construction area of ​​the expressway p =r p *T*cos(k p )*sin(t p ); Analyze the tilt threat coefficient of each fence in the construction area of ​​the expressway The inspection feedback processing unit is used to send the analysis data of the construction area of ​​the expressway to the person in charge of the expressway construction, adjust the expressway construction area, and use the smart car to perform re-inspection operations.

2. A highway construction inspection system according to claim 1, characterized in that: The specific calculation method for calculating the relocation interval duration of the smart car in the construction area of ​​the highway during the rainy day inspection is as follows: The repositioning interval duration corresponding to the positioning signal reduction coefficient interval in each rainy day in the construction area of ​​the expressway is obtained from the local database. According to the rainy day positioning signal reduction coefficient in the construction area of ​​the expressway, the repositioning interval duration of the smart car in the construction area of ​​the expressway during rainy day inspection is mapped.

3. A highway construction inspection system according to claim 1, characterized in that: The inspection feedback processing unit includes: a construction area adjustment module and an intelligent vehicle re-inspection module; The construction area adjustment module is used to send the positions of each threatening fence in the construction area of ​​the expressway and the inward offset value of the fence of each adjacent lane within the target monitoring time period in rainy days to the person in charge of the expressway construction; The smart car re-inspection module is used to return the smart car to the initial position for a re-positioning operation during each re-positioning interval of the smart car during rainy day inspections when passing through the construction area of ​​the expressway. After re-positioning, the smart car continues to inspect.

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