Construction safety facility management method, device, equipment, storage medium and product

Abstract

The application relates to a construction safety facility management method, device, equipment, storage medium and product, and relates to the technical field of road safety. The method comprises the following steps: acquiring curvature radius data of a construction section; a construction safety facility is arranged between a construction lane in the construction section and an adjacent non-construction lane; acquiring turning angle data of a target vehicle; the target vehicle is a vehicle driving into the non-construction lane of the construction section; determining lane deviation of the target vehicle based on the turning angle data of the target vehicle and the curvature radius data of the construction section; and determining the position state of the construction safety facility based on the lane deviation of the target vehicle. Through the above method, all-weather and automatic monitoring of the safety state of the construction area can be realized, and the safety management efficiency and the intelligent level of the road construction area are improved.

Description

Technical Field

[0001] This application relates to the field of road safety technology, and in particular to a method, apparatus, equipment, storage medium and product for managing construction safety facilities. Background Technology

[0002] With the continued deepening of urbanization, road construction has become a crucial link in promoting urban development and infrastructure upgrading. To ensure continuous traffic flow during construction, traffic cones, barriers, and other facilities are often deployed around the construction area to warn vehicles and pedestrians and prevent accidents. However, these facilities are prone to displacement under complex traffic environments and external disturbances, thus posing traffic safety hazards.

[0003] In related technologies, common facility status monitoring mainly relies on manual inspections or the installation of positioning devices in the facilities for dynamic tracking. However, manual inspections are inefficient and have limited coverage; while installing positioning modules is complex to implement, costly, and prone to false alarms due to slight displacement of the facility itself or signal interference, resulting in low detection accuracy. In addition, this method cannot cover temporary obstacles that do not have integrated positioning functions, resulting in low detection comprehensiveness. Summary of the Invention

[0004] This application provides a construction safety facility management method, device, equipment, storage medium, and product, which can realize all-weather, automated monitoring of the safety status of the construction area, improve the safety management efficiency and intelligence level of the road construction area, and the technical solution is as follows.

[0005] On the one hand, a method for managing construction safety facilities is provided, the method comprising: Obtain the curvature radius data of the construction section; construction safety facilities are installed at the lane edges between the construction lane and the adjacent non-construction lane in the construction section; Obtain the steering angle data of the target vehicle; the target vehicle is a vehicle that has entered the non-construction lane of the construction section. Based on the steering angle data of the target vehicle and the curvature radius data of the construction section, the lane deviation of the target vehicle is determined; The location and status of the construction safety facilities are determined based on the lane departure of the target vehicle.

[0006] On the other hand, a construction safety facility management device is provided, the device comprising: The first data acquisition module is used to acquire the curvature radius data of the construction section; construction safety facilities are set at the lane edges between the construction lane and the adjacent non-construction lane in the construction section. The second data acquisition module is used to acquire the steering angle data of the target vehicle; the target vehicle is a vehicle that has entered the non-construction lane of the construction section. The lane deviation determination module is used to determine the lane deviation of the target vehicle based on the steering angle data of the target vehicle and the curvature radius data of the construction section. The status determination module is used to determine the position status of the construction safety facility based on the lane deviation of the target vehicle.

[0007] In one possible implementation, the offset determination module includes: The radius calculation submodule is used to calculate the real-time turning radius sequence of the target vehicle based on the steering angle data and the wheelbase of the target vehicle. The deviation calculation submodule is used to calculate the radius deviation value between each real-time turning radius in the real-time turning radius sequence and the radius of curvature corresponding to the real-time position of the target vehicle in the radius of curvature data, so as to obtain a radius deviation value sequence. The offset determination submodule is used to determine that the target vehicle has lane deviation when the radius deviation value sequence contains multiple consecutive target radius deviation values, and the absolute value of the target radius deviation value is greater than a preset radius deviation threshold.

[0008] In one possible implementation, the offset determination submodule is used for, If the target radius deviation value is negative, it is determined that the target vehicle has an offset towards the construction lane at the corresponding position; If the target radius deviation is positive, it is determined that the target vehicle is offset from the construction lane at the corresponding position.

[0009] In one possible implementation, the state determination module includes: The first quantity acquisition submodule is used to acquire the number of first-type vehicles and the number of second-type vehicles in the same location area. The first-type vehicles refer to target vehicles that are deviating towards the construction lane as indicated by the lane deviation situation, and the second-type vehicles refer to target vehicles that are deviating away from the construction lane as indicated by the lane deviation situation. The statistics submodule is used to perform a weighted summation of the number of vehicles of various types to obtain a statistical value; the counting coefficient of the first type of vehicles is less than the counting coefficient of the second type of vehicles; The status determination submodule is used to determine that the construction safety facilities in the location area have been displaced outside the construction lane when the number statistics value is greater than or equal to a preset first vehicle number threshold.

[0010] In one possible implementation, the state determination module is used for, If the number of first-type vehicles in the same location area is greater than or equal to a preset second vehicle number threshold, it is determined that the construction safety facilities in the location area have been displaced into the construction lane; the first-type vehicles refer to target vehicles whose lane deviation indicates a deviation towards the construction lane. If the number of second-type vehicles in the same location area is greater than or equal to a preset threshold for the number of third-type vehicles, it is determined that the construction safety facilities in the location area have been displaced outside the construction lane; the second-type vehicles refer to target vehicles whose lane deviation indicates a deviation away from the construction lane.

[0011] In one possible implementation, the device further includes: The working condition information acquisition module is used to acquire the current construction working condition information of the location area when the position status indication of the construction safety facility is displaced; The first information sending module is used to generate and send alarm information to a first target user when the current construction condition information indicates that the location area is under construction; the first target user is the user responsible for the road section construction. The second information sending module is used to generate and send the alarm information to a second target user when the current construction status information indicates that the location area is in a non-construction state. The second target user is the user responsible for facility operation and maintenance.

[0012] On the other hand, a computer device is provided, the computer device including a processor and a memory, the memory storing at least one computer program, the at least one computer program being loaded and executed by the processor to implement the above-described construction safety facility management method.

[0013] On the other hand, a computer-readable storage medium is provided, wherein at least one computer program is stored in the computer-readable storage medium, the computer program being loaded and executed by a processor to implement the above-described construction safety facility management method.

[0014] On the other hand, a computer program product is provided, the computer program product including a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions, which, when executed by a computer, cause the computer to perform to implement the construction safety facility management method provided in the above-described various optional implementations.

[0015] The technical solution provided in this application may include the following beneficial effects: The construction safety facility management method provided in this application collects steering angle data of vehicles entering non-construction lanes of a construction section and performs real-time matching analysis with the road's designed curvature radius. This allows for intelligent inference of the displacement state of construction safety facilities based on whether vehicles exhibit evasive deviations. This method treats vehicles as dynamic sensing units, indirectly monitoring facility status by analyzing group vehicle behavior. It achieves 24 / 7 automated monitoring of the safety status of the construction area, improving the efficiency and intelligence level of safety management in road construction zones.

[0016] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0018] Figure 1 A flowchart of a construction safety facility management method provided in an exemplary embodiment of this application is shown; Figure 2 A schematic diagram of the layout of an image acquisition device provided in an exemplary embodiment of this application is shown; Figure 3 A block diagram of a construction safety facility management device provided in an exemplary embodiment of this application is shown; Figure 4 A structural block diagram of a computer device illustrated in an exemplary embodiment of this application is shown; Figure 5 A structural block diagram of a computer device illustrated in an exemplary embodiment of this application is shown. Detailed Implementation

[0019] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0020] It should be understood that the data acquisition process involved in each embodiment of this specification is carried out in accordance with the principles of legal data source, compliant data content, compliant data governance, and with user authorization.

[0021] To effectively reduce the risk of traffic accidents caused by the displacement of road traffic safety facilities, this application provides a method for managing construction safety facilities. By locating vehicles traveling on construction sections and analyzing their driving conditions, the method determines whether there are obstacles affecting normal vehicle travel in non-construction lanes, thereby determining the location and status of construction safety facilities. Based on this solution, the accuracy and comprehensiveness of construction safety facility management can be improved, thereby enhancing road safety in construction areas, reducing traffic accidents, and ensuring safe and smooth road use during construction.

[0022] Figure 1 This application illustrates a flowchart of a construction safety facility management method provided in an exemplary embodiment. This method can be executed by a computer device, which can be implemented as a server or a terminal device, such as… Figure 1 As shown, the construction safety facility management method may include the following steps.

[0023] Step 110: Obtain the curvature radius data of the construction section; construction safety facilities are installed between the construction lane and the adjacent non-construction lane in the construction section.

[0024] In this embodiment of the application, the computer device can extract the curvature radius data of the construction section from map data. The map data may include lane-level feature information, which may include the number of lanes, shape, curvature radius, and slope, etc. The construction section may be composed of multiple sections, and different sections may have different curvature radii. That is, the curvature radius of the construction section may include the curvature radii of each section on the construction section.

[0025] Based on the number of lanes in the construction section and the road construction data, it can be determined which construction lanes and non-construction lanes are separated by construction safety facilities. In other words, the construction safety facilities are set at the edge of the lanes between the construction lanes and non-construction lanes. For example, the construction safety facilities can be traffic cones, guardrails, barriers, and other obstacles that can have a separation effect, such as mud, rocks, building materials, etc.

[0026] Step 120: Obtain the steering angle data of the target vehicle; the target vehicle is a vehicle that has entered the non-construction lane of the construction section.

[0027] In this embodiment, a computer device can determine target vehicles entering non-construction lanes of a construction section by acquiring image acquisition devices configured at various entrances and exits of the construction section. These image acquisition devices can be surveillance cameras, intelligent roadside units with video stream analysis capabilities, or other image sensing devices. The image acquisition devices can be configured at the start and end points of the construction section, as well as at various intersections along the construction section, to collect vehicle information within the construction section. Schematic, vehicles entering the construction section are marked as target vehicles and continuously tracked until they leave the construction section, at which point the marking is lifted. After locking onto a target vehicle within the construction section, the computer device can collect the target vehicle's steering data in real time through an in-vehicle communication system or a remote monitoring platform. Furthermore, by acquiring the target vehicle's GPS data, i.e., its real-time location information, the computer device can determine the target vehicle's steering angle data at various locations within the construction section, providing a data basis for subsequent analysis of the matching degree between the vehicle's steering behavior and the curvature radius of the road section.

[0028] In actual road construction, to guide vehicles to smoothly decelerate and safely merge into adjacent non-construction lanes, construction safety facilities are often installed by gradually narrowing the width of the construction lane. Therefore, at the beginning and end of construction sections, lane changes due to changes in lane width are quite common and considered normal driving behavior. To avoid misjudging these normal lane changes as abnormal lane deviations, one possible approach is to position the image acquisition equipment at the starting point of the construction section after the lane width has gradually narrowed (or returned to its original width), i.e., in a section where vehicle trajectories tend to stabilize. Figure 2 A schematic diagram of the layout of an image acquisition device provided in an exemplary embodiment of this application is shown, such as... Figure 2 As shown, the construction section includes a construction lane 210 and a non-construction lane. Construction safety facilities 220 are installed between the construction lane and the adjacent non-construction lane to isolate them. To ensure driving safety, the installation of construction safety facilities follows a gradual guidance principle. That is, in the entry section of the construction section, the drivable area of ​​the construction section gradually narrows due to the installation of construction safety facilities 220. In the exit section, the drivable area of ​​the construction section gradually returns to its original width due to the installation of construction safety facilities 220. Therefore, based on the above road characteristics, the image acquisition device can be set at the end position 230 of the narrowing of the entry section and the beginning position 240 of the lane width restoration of the exit section. If the construction section includes a fork in the road, an image acquisition device is installed at the fork in the road 250 to collect vehicle information entering or leaving the construction section.

[0029] Using the above method, based on the specific road conditions of the constructed road section, several image acquisition devices can be set up in the construction section to collect information on vehicles traveling through the construction section, thereby obtaining the steering angle data of these target vehicles.

[0030] Step 130: Based on the steering angle data of the target vehicle and the curvature radius data of the construction section, determine the lane deviation of the target vehicle.

[0031] The steering angle data of the target vehicle can include the steering angle of the target vehicle at various time points during the time period from entering the construction section to leaving the construction section. Based on the steering angle data of the target vehicle, the turning radius of the target vehicle at each time point can be determined. Combined with the position information of the target vehicle at each time point, the turning radius of the target vehicle at each position can be obtained. By comparing the turning radius of the target vehicle at each position with the curvature radius of the construction section at the corresponding position, the lane deviation of the target vehicle at the corresponding position can be determined.

[0032] When a vehicle turns, there is a direct relationship between its steering angle and its turning radius, which can be expressed by a formula from vehicle dynamics:

[0033] Where R is the turning radius, L is the wheelbase of the vehicle, and δ is the steering angle, which can be the front wheel steering angle. The wheelbase of the vehicle can be determined based on the vehicle information collected by the image acquisition device. For illustration, the computer device can obtain the model of the target vehicle based on the license plate information or model information of the target vehicle collected by the image acquisition device, and obtain the wheelbase of the vehicle by querying the specification data of the model.

[0034] After calculating the turning radius of the target vehicle using the above formula, the turning radius of the target vehicle is compared with the curvature radius of the road at the corresponding location to determine whether the turning radius of the vehicle at the corresponding location matches the curvature radius of the current road. If the two do not match, it is determined that the target vehicle is changing lanes or deviating from the lane; if they match, it is determined that the target vehicle has not deviated from the lane.

[0035] In this embodiment, to prevent instantaneous, unintentional trajectory fluctuations caused by factors such as normal fine-tuning by the driver, inherent sensor noise, or minor local changes in road curvature from being misjudged as lane departure, the computer device can set a radius deviation threshold to robustly determine the matching between the turning radius and the current road curvature radius. Based on this, the process of determining the lane departure of the target vehicle based on the steering angle data of the target vehicle and the curvature radius data of the construction section can be implemented as follows: Based on the target vehicle's steering angle data and wheelbase, calculate the target vehicle's real-time turning radius sequence. Calculate the radius deviation between each real-time turning radius in the real-time turning radius sequence and the radius deviation between each real-time turning radius and the radius deviation corresponding to the real-time position of the target vehicle in the radius of curvature data, and obtain the radius deviation value sequence. If the radius deviation value sequence contains multiple consecutive target radius deviation values, it is determined that the target vehicle has lane deviation, and the absolute value of the target radius deviation value is greater than the preset radius deviation threshold.

[0036] The real-time turning radius sequence includes the real-time turning radius of the target vehicle at each location. The difference between each real-time turning radius of the target vehicle and the curvature radius of the road at the corresponding location is calculated to obtain the radius deviation value sequence.

[0037] To eliminate false lane departures caused by unintentional driver operation or sensor noise, this embodiment determines lane departure when the target radius deviation value appears continuously over time. The number of consecutive occurrences of the target radius deviation value can be set based on actual needs, but this embodiment does not set this number. The above determination method can capture continuous deviation behavior that reflects the true driving intention, thereby improving the accuracy of lane departure detection and the reliability of the system.

[0038] Furthermore, by analyzing the numerical relationship between the turning radius of the target vehicle and the radius of curvature of the road, the deflection direction of the target vehicle can be determined. In one possible implementation, the deflection direction of the target vehicle is determined based on the sign of this radius deviation value. Based on this, when the radius deviation value sequence contains multiple consecutive target radius deviation values, it is determined that the target vehicle has a lane deviation, including: If the target radius deviation value is negative, it is determined that the target vehicle has a deviation towards the construction lane at the corresponding position; If the target radius deviation is positive, it is determined that the target vehicle has deviated from the construction lane at the corresponding location.

[0039] When the target radius deviation value is negative, it indicates that the vehicle's real-time turning radius is smaller than the road's curvature radius. The target vehicle turns more sharply than the road curve, and its movement trend points towards the inside of the curve. Therefore, if the construction lane is located inside the vehicle's direction of travel, this deviation is a deviation towards the construction lane. When the target radius deviation value is positive, it indicates that the vehicle's real-time turning radius is larger than the road's curvature radius. The target vehicle turns more gently than the road curve, and its movement trend points towards the outside of the curve. Therefore, if the construction lane is located inside the vehicle's direction of travel, this deviation is a deviation away from the construction lane.

[0040] Step 140: Determine the location and status of construction safety facilities based on the lane departure of the target vehicle.

[0041] For the target vehicle, if its lane departure is determined to be a deviation towards the construction lane, it indicates that the construction safety facilities between the construction lane and the non-construction lane may have shifted towards the construction lane, increasing the actual passable width of the construction lane and providing space for the target vehicle to deviate to that side. If its lane departure is determined to be a deviation away from the construction lane, it indicates that the construction safety facilities between the construction lane and the non-construction lane may have shifted towards the non-construction lane, decreasing the actual passable width of the non-construction lane, causing the target vehicle to deviate away from the construction lane to bypass the shifted construction safety facilities and maintain safe driving.

[0042] In order to avoid misjudging the position status of construction safety facilities due to accidental operation of a single vehicle, in this embodiment of the application, the computer device can determine the position status of construction safety facilities based on the lane deviation of multiple target vehicles. When most vehicles show deviation away from the construction lane, it is determined that the construction safety facilities are deviating away from the construction lane. When most vehicles show deviation towards the construction lane, it is determined that the construction safety facilities are deviating towards the construction lane. Computer equipment can statistically and weightedly analyze the lane departure tendency of vehicles at the same position. In this embodiment, it can determine whether the construction safety facility has shifted to the outside of the construction lane based on the vehicle's lane departure tendency. Taking the determination process of whether the construction safety facility has shifted to the outside of the construction lane as an example, the position status of the construction safety facility is determined based on the lane departure of the target vehicle, including: Obtain the number of Class I vehicles and Class II vehicles within the same location area. Class I vehicles refer to target vehicles whose lane departure status indicates a deviation towards the construction lane, and Class II vehicles refer to target vehicles whose lane departure status indicates a deviation away from the construction lane. The number of vehicles in each category is weighted and summed to obtain the statistical value; the counting coefficient of the first category of vehicles is less than that of the second category of vehicles. If the number of vehicles is greater than or equal to the preset first vehicle number threshold, the construction safety facilities in the determined location area have been moved out of the construction lane.

[0043] Conversely, if the number of vehicles is less than the first vehicle number threshold, then the construction safety facilities in the determined location area have not shifted out of the construction lane.

[0044] The division of location areas can be set based on actual needs. Within the same location area, different vehicles may have different lane deviations due to different driver operations. By counting the number of the first type of vehicles and the second type of vehicles, the number of each type of vehicle in the location area can be determined. After the computer equipment performs weighted fusion on the number of the two types of vehicles, if the weighted total value (i.e. the statistical value) exceeds the preset first vehicle number threshold, it is determined that the construction safety facility has been substantially displaced to the outside of the construction lane, thereby realizing automated and highly reliable detection of abnormal facility status.

[0045] When performing weighted fusion, the allocation of counting coefficients can be configured according to different safety monitoring focuses. In scenarios focusing on detecting facilities encroaching on passable lanes: if construction safety facilities shift to the non-construction lane side, they will directly encroach on normal traffic space, forcing vehicles to make emergency maneuvers, resulting in significant safety hazards. In this scenario, the behavior of vehicles far from the construction lane (i.e., the number of second-type vehicles) is direct evidence of facility encroachment and should be assigned a higher counting coefficient to improve the detection sensitivity of this type of high-risk displacement. For example, if the construction safety facility is located on the left side of the passable lane, assuming the counting coefficient of target vehicles shifting to the left is 0.4 and the counting coefficient of target vehicles shifting to the right is 1.8, and the first vehicle quantity threshold is C, then when 0.4a + 1.8b ≥ C, it is determined that there is a road anomaly in this location area, i.e., the construction safety facility encroaching on the passable lane, where a is the number of target vehicles shifting to the left in this location area and b is the number of target vehicles shifting to the right in this location area.

[0046] In scenarios where the focus is on detecting misjudgments due to deviations within the detection facility: If construction safety facilities shift towards the inside of the construction lane, lane boundaries can become blurred, leading to driver misjudgments and potentially causing vehicles to mistakenly enter the construction zone or collide with normal construction safety facilities (i.e., those that have not shifted). In this scenario, vehicle behavior deviating towards the construction lane (i.e., the number of vehicles in the first category) may indicate lane boundary confusion or disappearance, and should be assigned a higher counting coefficient to enhance the ability to identify this type of induced risk. Through the aforementioned counting coefficient assignment strategy, the detection needs of facilities with different risk orientations can be adapted, thereby enabling targeted analysis and early warning of various displacement situations of construction safety facilities.

[0047] In another possible implementation, the computer device can determine the position status of the construction safety facility based on the consistency of the deflection directions of a majority of vehicles. In this method, the position status of the construction safety facility is determined based on the lane deviation of the target vehicle, including: If the number of Category 1 vehicles in the same location area is greater than or equal to a preset threshold for the number of Category 2 vehicles, it is determined that the construction safety facilities in the location area have shifted into the construction lane; Category 1 vehicles refer to target vehicles whose lane deviation indicates a deviation towards the construction lane. If the number of second-class vehicles in the same location area is greater than or equal to the preset threshold for the number of third-class vehicles, it is determined that the construction safety facilities in the location area have been displaced outside the construction lane; second-class vehicles refer to target vehicles whose lane deviation indicates that they have deviated away from the construction lane.

[0048] In other words, within the same location area, if the number of vehicles deviating towards the construction lane reaches a corresponding preset threshold, it is determined that the construction safety facility has shifted inwards. If the number of vehicles deviating away from the construction lane reaches another corresponding preset threshold, it is determined that the facility has shifted outwards from the construction lane. This determination method achieves direct judgment of the displacement direction of the construction safety facility by statistically analyzing the consistency of the behavior of vehicle groups within the same location area. When most vehicles show a tendency to deviate towards the construction lane, it indicates that the construction safety facility may have shifted inwards, providing space for vehicles to shift inwards. When most vehicles show a tendency to shift away from the construction lane, it indicates that the construction safety facility may have shifted outwards, forcing vehicles to avoid it, thereby achieving highly reliable identification of the position status of the construction safety facility.

[0049] Since the displacement of construction safety facilities poses a significant safety hazard to the normal operation of vehicles, the computer equipment can also issue an alarm message to prompt relevant users to handle the construction safety facilities when displacement is confirmed. In one possible implementation, the computer equipment can be configured with alarm rules to generate alarm messages when displacement of construction safety facilities is confirmed, and send the alarm messages to one or more designated target users according to the alarm rules.

[0050] In one possible implementation, the alarm rule may include a hierarchical rule. In this case, generating alarm information includes: determining the alarm level based on the severity of the displacement or the number of affected vehicles, such as classifying alarms into alert, warning, and severe levels based on the magnitude of the deviation or the number of affected vehicles. Different levels correspond to different response processes and notification recipients.

[0051] The alarm rules may also include notification channel rules to indicate how alarm information is sent, such as sending interface alarms through the construction management platform, sending text alarms through SMS channels, and sending push alarms to the application through message push services, etc.

[0052] In one possible implementation, the computer device can also combine the current construction status information of the location area to push differentiated alarms, thereby improving the intelligence level and handling efficiency of construction safety facility management. The method further includes: When the location status indicator of the construction safety facility is displaced, obtain the current construction condition information of the location area; When the current construction status information indicates that the location area is under construction, an alarm message is generated and sent to the first target user; the alarm message includes at least one of the following: location area information, type of construction safety facility, and offset direction of construction safety facility; the first target user is the user responsible for the road section construction; If the area indicated by the current construction status information is in a non-construction state, an alarm message is generated and sent to the second target user, who is the user responsible for facility operation and maintenance.

[0053] The computer equipment can retrieve road construction data and analyze it to determine whether there are construction workers on site in the corresponding construction area at the current time. If the current construction status information indicates that the location area is in an active construction period, the generated alarm information will be pushed to the terminal of the on-site construction supervisor or operator, prompting them to review the compliance of the facility displacement. If the current construction status information indicates that the location area is in a non-construction period, the generated alarm information will be pushed to the maintenance user. Furthermore, the computer equipment can also send the alarm information to the nearest maintenance user based on the distance between the maintenance user and the location area to improve processing efficiency.

[0054] In one possible implementation, when the area indicated by the current construction status information is under construction, the computer equipment can also perform user filtering based on the responsiveness of each primary target user, selecting users with the best responsiveness to send alarm information to; wherein, the process of evaluating the user's responsiveness can be implemented as follows: Obtain real-time location and age data for each primary target user; Based on the real-time location and age data of each primary target user, a response capability score is obtained for each primary target user by using response capability assessment rules. Users are selected based on their responsiveness scores, and alarm messages are sent to the selected users.

[0055] In one possible implementation, the response capability assessment rule can quantify and score a user's overall response capability by integrating the user's real-time location data and age data. For example, it can calculate the distance or estimated arrival time between the user and the alarm location based on real-time location data, assess the compatibility between the user's physiological functions and reaction speed based on age data, and generate a corresponding response capability score by combining the two according to preset weights.

[0056] Alternatively, the response capability assessment rule can be expressed by the formula:

[0057] To score responsiveness, For correction parameters, Here, S is the distance influence coefficient, where S is the distance between the first target user and the construction safety facility where the displacement occurred. The influence coefficient is the age factor. The age of the primary target users.

[0058] The response capability scores of each primary target user will serve as a data-driven decision-making basis for the accurate delivery of alarm information and personnel scheduling.

[0059] Once a user receives an alarm notification and confirms they can proceed to the site via their user terminal, they can claim the removal task online. After receiving confirmation from the first user, the computer system automatically sends a notification to other users who received the alarm notification, indicating that the task has been accepted. This achieves single-point task acceptance and global synchronization. This mechanism ensures timely handling of displaced construction safety facilities while avoiding work disruptions and resource waste caused by repeatedly assigning tasks to multiple personnel.

[0060] The alarm information may include at least one of the following: location area information, type of construction safety facility, and offset direction of construction safety facility; furthermore, the alarm information may also include on-site images, etc.; wherein, the location area information and displacement direction can be obtained directly from the process of determining the position status of construction safety facility; the type of construction safety facility can be determined by image recognition technology, and the image may be a video frame image collected by monitoring equipment deployed at the start and end points of the construction section or at intersections, or it may also be an image from the video data recorded by the target vehicle's dashcam.

[0061] To illustrate, taking the video data recorded by the dashcam of the target vehicle as an example, if it is determined that the construction safety facilities in the target location area have shifted, the computer equipment can retrieve the video data of the dashcam of the target vehicle that most recently deviated from its lane in the target location area; if the target vehicle does not have a dashcam installed, or the video data of the dashcam does not meet the preset clarity standard, then the video data of the dashcam of the previous target vehicle that deviated from its lane in the target location area is retrieved in reverse chronological order until video data that meets the preset clarity standard is obtained, so as to determine the type of construction safety facilities.

[0062] After acquiring the video data from the dashcam, the computer equipment can preprocess the video data to reduce the impact of environmental factors on the recognition effect, thereby improving the image quality and enhancing the accuracy of facility recognition. This preprocessing can include noise reduction, correction, and enhancement.

[0063] After obtaining the preprocessed image data, the computer equipment can extract video frames from the image data and use machine learning classification algorithms to identify facilities in the video frames. For example, the computer equipment can use computer vision algorithms to extract image features from the video frames and input the image features into a pre-trained facility recognition model to obtain the construction safety facilities in the video frames and their positions in the video frames. Then, the feature data of the construction safety facilities at the corresponding positions is extracted and compared with the pre-stored facility feature database. Based on the comparison results, the type of construction safety facility is determined.

[0064] The image features may include at least one of the following: edge features, corner features, texture features, and shape contours; the facility recognition model may be built based on a convolutional neural network and trained under supervision using image samples containing various construction safety facilities and their corresponding location annotation information.

[0065] The process of comparing the feature data of construction safety facilities with a pre-stored facility feature database can be achieved as follows: Calculate the similarity between the feature data of construction safety facilities and the feature data of each pre-stored facility in the database; The type corresponding to the pre-stored facility feature with the highest similarity is determined as the type of construction safety facility.

[0066] Furthermore, after capturing keyframes of displaced construction safety facilities, the computer equipment can capture images at that moment, structurally encapsulate the identified location coordinates of the displaced construction safety facilities and the captured images, generate standardized analysis data packets, and push them to the road management platform in real time. These data packets can provide managers with intuitive on-site evidence and a basis for handling, prompting them to promptly address any abnormal construction safety facilities on the relevant road sections.

[0067] Furthermore, the computer equipment can also provide prompts to vehicles entering the current road segment to remind them to avoid abnormal construction safety facilities (i.e., construction safety facilities that have shifted); in one possible implementation, the computer equipment can provide different prompts to different types of vehicles. If the vehicle is identified as an autonomous vehicle, a lane-level avoidance instruction is generated based on the attribute information of the abnormal construction safety facilities, and the vehicle is controlled to change to an unaffected lane in advance. Controlling the autonomous vehicle to change lanes in advance can mean sending a command containing the target lane or a lane change instruction to the vehicle before it reaches the preset decision point.

[0068] If a vehicle is identified as a non-autonomous vehicle, the computer equipment can calculate the distance between the vehicle and the abnormal construction safety facilities in real time. When the distance narrows to a preset safety avoidance threshold, it can send avoidance warning information to the vehicle through onboard or roadside equipment. For example, it can send voice or text prompts to the in-vehicle infotainment system via vehicle-to-infrastructure communication; or it can issue a warning of an obstacle ahead via roadside variable message signs. The safety avoidance threshold is dynamically adjusted according to the type of obstacle, vehicle speed, and road conditions, and this application does not impose any restrictions on it.

[0069] In summary, the construction safety facility management method provided in this application collects steering angle data of vehicles entering non-construction lanes of a construction section and performs real-time matching analysis with the road's designed radius of curvature. This allows for intelligent inference of the displacement state of construction safety facilities based on whether vehicles exhibit evasive deviations. This method treats vehicles as dynamic sensing units, indirectly monitoring facility status by analyzing group vehicle behavior. It achieves 24 / 7 automated monitoring of the safety status of the construction area, improving the efficiency and intelligence level of safety management in road construction zones.

[0070] Figure 3 This illustration shows a block diagram of a construction safety facility management device provided in an exemplary embodiment of this application, the device being used to perform, for example... Figure 1 All or part of the steps in the illustrated embodiments, such as Figure 3 As shown, the device may include the following modules.

[0071] The first data acquisition module 310 is used to acquire the curvature radius data of the construction section; construction safety facilities are provided at the lane edges between the construction lane and the adjacent non-construction lane in the construction section. The second data acquisition module 320 is used to acquire the steering angle data of the target vehicle; the target vehicle is a vehicle that has entered the non-construction lane of the construction section. The offset determination module 330 is used to determine the lane offset of the target vehicle based on the steering angle data of the target vehicle and the curvature radius data of the construction section. The status determination module 340 is used to determine the position status of the construction safety facility based on the lane deviation of the target vehicle.

[0072] In one possible implementation, the offset determination module 330 includes: The radius calculation submodule is used to calculate the real-time turning radius sequence of the target vehicle based on the steering angle data and the wheelbase of the target vehicle. The deviation calculation submodule is used to calculate the radius deviation value between each real-time turning radius in the real-time turning radius sequence and the radius of curvature corresponding to the real-time position of the target vehicle in the radius of curvature data, so as to obtain a radius deviation value sequence. The offset determination submodule is used to determine that the target vehicle has lane deviation when the radius deviation value sequence contains multiple consecutive target radius deviation values, and the absolute value of the target radius deviation value is greater than a preset radius deviation threshold.

[0073] In one possible implementation, the offset determination submodule is used for, If the target radius deviation value is negative, it is determined that the target vehicle has an offset towards the construction lane at the corresponding position; If the target radius deviation is positive, it is determined that the target vehicle is offset from the construction lane at the corresponding position.

[0074] In one possible implementation, the state determination module 340 includes: The first quantity acquisition submodule is used to acquire the number of first-type vehicles and the number of second-type vehicles in the same location area. The first-type vehicles refer to target vehicles that are deviating towards the construction lane as indicated by the lane deviation situation, and the second-type vehicles refer to target vehicles that are deviating away from the construction lane as indicated by the lane deviation situation. The statistics submodule is used to perform a weighted summation of the number of vehicles of various types to obtain a statistical value; the counting coefficient of the first type of vehicles is less than the counting coefficient of the second type of vehicles; The status determination submodule is used to determine that the construction safety facilities in the location area have been displaced outside the construction lane when the number statistics value is greater than or equal to a preset first vehicle number threshold.

[0075] In one possible implementation, the state determination module 340 is used for, If the number of first-type vehicles in the same location area is greater than or equal to a preset second vehicle number threshold, it is determined that the construction safety facilities in the location area have been displaced into the construction lane; the first-type vehicles refer to target vehicles whose lane deviation indicates a deviation towards the construction lane. If the number of second-type vehicles in the same location area is greater than or equal to a preset threshold for the number of third-type vehicles, it is determined that the construction safety facilities in the location area have been displaced outside the construction lane; the second-type vehicles refer to target vehicles whose lane deviation indicates a deviation away from the construction lane.

[0076] In one possible implementation, the device further includes: The working condition information acquisition module is used to acquire the current construction working condition information of the location area when the position status indication of the construction safety facility is displaced; The first information sending module is used to generate and send alarm information to a first target user when the current construction condition information indicates that the location area is under construction; the first target user is the user responsible for the road section construction. The second information sending module is used to generate and send the alarm information to a second target user when the current construction status information indicates that the location area is in a non-construction state. The second target user is the user responsible for facility operation and maintenance.

[0077] In summary, the construction safety facility management device provided in this application collects steering angle data of vehicles entering non-construction lanes of a construction section and performs real-time matching analysis with the road's designed curvature radius. This allows for intelligent inference of the displacement state of construction safety facilities based on whether vehicles exhibit evasive deviations. By treating vehicles as dynamic sensing units and analyzing group vehicle behavior, the device indirectly monitors facility status, achieving 24 / 7 automated monitoring of the safety status of the construction area and improving the efficiency and intelligence level of safety management in road construction zones.

[0078] Figure 4A structural block diagram of a computer device 400 illustrated in an exemplary embodiment of this application is shown. This computer device can be implemented as a server as described above in this application. The computer device 400 includes a Central Processing Unit (CPU) 401, a system memory 404 including Random Access Memory (RAM) 402 and Read-Only Memory (ROM) 403, and a system bus 405 connecting the system memory 404 and the CPU 401. The computer device 400 also includes a mass storage device 406 for storing an operating system 409, application programs 410, and other program modules 411.

[0079] Without loss of generality, the computer-readable medium may include computer storage media and communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented using any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media include RAM, ROM, erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other solid-state storage technologies, CD-ROM, digital versatile disc (DVD) or other optical storage, magnetic tape cassettes, magnetic tape, disk storage, or other magnetic storage devices. Of course, those skilled in the art will recognize that the computer storage media are not limited to the above-mentioned types. The system memory 404 and mass storage device 406 described above can be collectively referred to as memory.

[0080] According to various embodiments of this disclosure, the computer device 400 can also be connected to a remote computer on a network, such as the Internet. That is, the computer device 400 can be connected to a network 408 via a network interface unit 407 connected to the system bus 405, or it can use the network interface unit 407 to connect to other types of networks or remote computer systems (not shown).

[0081] The memory also includes at least one instruction, at least one program, code set, or instruction set, which are stored in the memory. The central processing unit 401 executes the at least one instruction, at least one program, code set, or instruction set to implement all or part of the steps in the construction safety facility management method shown in the above embodiments.

[0082] Figure 5 A structural block diagram of a computer device 500 illustrating an exemplary embodiment of this application is shown. The computer device 500 can be implemented as the aforementioned terminal device, such as a smartphone, tablet computer, laptop computer, desktop computer, etc. The computer device 500 may also be referred to as user equipment, portable terminal, laptop terminal, desktop terminal, or other names.

[0083] Typically, computer device 500 includes a processor 501 and a memory 502.

[0084] In some embodiments, the computer device 500 may also optionally include a peripheral device interface 503 and at least one peripheral device. The processor 501, memory 502, and peripheral device interface 503 can be connected via a bus or signal line. Each peripheral device can be connected to the peripheral device interface 503 via a bus, signal line, or circuit board. Specifically, the peripheral device includes at least one of the following: a radio frequency circuit 504, a display screen 505, a camera assembly 506, an audio circuit 507, and a power supply 508.

[0085] In some embodiments, the computer device 500 further includes one or more sensors 509. The one or more sensors 509 include, but are not limited to, an accelerometer 510, a gyroscope 511, a pressure sensor 512, an optical sensor 513, and a proximity sensor 514.

[0086] Those skilled in the art will understand that Figure 5 The structure shown does not constitute a limitation on the computer device 500, and may include more or fewer components than shown, or combine certain components, or use different component arrangements.

[0087] In one exemplary embodiment, a computer-readable storage medium is also provided, which stores at least one computer program that is loaded and executed by a processor to implement all or part of the steps in the construction safety facility management method described above. For example, the computer-readable storage medium may be a read-only memory (ROM), a random access memory (RAM), a compact disc read-only memory (CD-ROM), magnetic tape, floppy disk, or optical data storage device, etc.

[0088] In one exemplary embodiment, a computer program product is also provided, comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions that, when executed by a computer, cause the computer to perform the above-described actions. Figure 1 All or part of the steps of the construction safety facility management method shown in the embodiment.

[0089] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the claims.

[0090] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for managing construction safety facilities, characterized in that, The method includes: Obtain the curvature radius data of the construction section; construction safety facilities are installed at the lane edges between the construction lane and the adjacent non-construction lane in the construction section; Obtain the steering angle data of the target vehicle; the target vehicle is a vehicle that has entered the non-construction lane of the construction section. Based on the steering angle data of the target vehicle and the curvature radius data of the construction section, the lane deviation of the target vehicle is determined; The location and status of the construction safety facilities are determined based on the lane departure of the target vehicle.

2. The method according to claim 1, characterized in that, The determination of the lane departure of the target vehicle based on the steering angle data of the target vehicle and the curvature radius data of the construction section includes: Based on the steering angle data and wheelbase of the target vehicle, calculate the real-time turning radius sequence of the target vehicle; Calculate the radius deviation value between each real-time turning radius in the real-time turning radius sequence and the radius deviation value between each real-time turning radius and the radius deviation value corresponding to the real-time position of the target vehicle in the radius deviation data, and obtain the radius deviation value sequence. If the radius deviation value sequence contains multiple consecutive target radius deviation values, it is determined that the target vehicle has lane deviation, and the absolute value of the target radius deviation value is greater than a preset radius deviation threshold.

3. The method according to claim 2, characterized in that, Determining that the target vehicle has a lane departure when the radius deviation value sequence contains multiple consecutive target radius deviation values ​​includes: If the target radius deviation value is negative, it is determined that the target vehicle has an offset towards the construction lane at the corresponding position; If the target radius deviation is positive, it is determined that the target vehicle is offset from the construction lane at the corresponding position.

4. The method according to any one of claims 1 to 3, characterized in that, Determining the position status of the construction safety facility based on the lane departure of the target vehicle includes: Obtain the number of first-type vehicles and the number of second-type vehicles in the same location area. The first-type vehicles refer to target vehicles that are deviating towards the construction lane as indicated by the lane deviation situation, and the second-type vehicles refer to target vehicles that are deviating away from the construction lane as indicated by the lane deviation situation. The number of vehicles of each category is weighted and summed to obtain the statistical value; the counting coefficient of the first category of vehicles is less than the counting coefficient of the second category of vehicles; If the statistical value of the number is greater than or equal to a preset first vehicle number threshold, it is determined that the construction safety facilities in the location area have been displaced outside the construction lane.

5. The method according to any one of claims 1 to 3, characterized in that, Determining the position status of the construction safety facility based on the lane departure of the target vehicle includes: If the number of first-type vehicles in the same location area is greater than or equal to a preset second vehicle number threshold, it is determined that the construction safety facilities in the location area have been displaced into the construction lane; the first-type vehicles refer to target vehicles whose lane deviation indicates a deviation towards the construction lane. If the number of second-type vehicles in the same location area is greater than or equal to a preset threshold for the number of third-type vehicles, it is determined that the construction safety facilities in the location area have been displaced outside the construction lane; the second-type vehicles refer to target vehicles whose lane deviation indicates a deviation away from the construction lane.

6. The method according to claim 1, characterized in that, The method further includes: When the location status indicator of the construction safety facility is displaced, the current construction condition information of the location area is obtained; When the current construction status information indicates that the location area is under construction, an alarm message is generated and sent to a first target user; the first target user is the user responsible for the road section construction. When the current construction status information indicates that the location area is in a non-construction state, the alarm information is generated and sent to a second target user, who is the user responsible for facility operation and maintenance.

7. A construction safety facility management device, characterized in that, The device includes: The first data acquisition module is used to acquire the curvature radius data of the construction section; construction safety facilities are set at the lane edges between the construction lane and the adjacent non-construction lane in the construction section. The second data acquisition module is used to acquire the steering angle data of the target vehicle; the target vehicle is a vehicle that has entered the non-construction lane of the construction section. The lane deviation determination module is used to determine the lane deviation of the target vehicle based on the steering angle data of the target vehicle and the curvature radius data of the construction section. The status determination module is used to determine the position status of the construction safety facility based on the lane deviation of the target vehicle.

8. A computer device, characterized in that, The computer device includes a processor and a memory, the memory storing at least one computer program, which is loaded and executed by the processor to implement the construction safety facility management method as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores at least one computer program, which is loaded and executed by a processor to implement the construction safety facility management method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program stored on a non-transitory computer-readable storage medium, the computer program including program instructions that, when executed by a computer device, cause the computer device to perform the construction safety facility management method as described in any one of claims 1 to 6.

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