Road patrol coverage rate analysis method and system based on road maintenance

Abstract

The invention is suitable for the technical field of road inspection, and particularly relates to a road inspection coverage rate analysis method and system based on road maintenance, and the method comprises the steps: obtaining a road inspection task, determining an inspection route, segmenting the inspection route into a plurality of segments, and collecting the attribute data of each segment, risk levels are set, each risk level corresponds to an adaptive speed, and a vehicle speed monitoring strategy is constructed; and issuing the road patrol task to the patrol vehicle. According to the method, manual work is matched with optical verification equipment for verification, so that the accuracy of road patrol can be further improved, the anomaly recognition precision is improved, the data reliability is enhanced, and a solid foundation is provided for road maintenance decision, thereby greatly improving the road patrol coverage rate, eliminating patrol dead angles, realizing efficient road patrol management, and improving the road patrol efficiency. And the scientificity of maintenance decision and the road safety are improved.

Description

Technical Field

[0001] This invention relates to the field of road patrol technology, and in particular to a method and system for analyzing road patrol coverage based on road maintenance. Background Technology

[0002] Road inspection is an indispensable and fundamental task in road maintenance. Its main function is to continuously track and dynamically monitor the operational status of road facilities. Through routine inspections of the pavement structure, traffic ancillary facilities, and the surrounding environment, potential defects and safety hazards can be identified in a timely manner. During inspections, special attention should be paid to cracks, potholes, subsidence, water accumulation, missing signs and markings, and abnormalities in safety protection facilities.

[0003] Existing inspection methods are generally carried out manually, which is prone to blind spots and is affected by factors such as personnel experience, inspection frequency and environmental conditions, making it difficult to reflect the true operating status of the road in a timely and comprehensive manner.

[0004] Therefore, "how to improve the coverage of road patrols through dashcams and optical verification equipment" is the technical problem that this invention needs to solve. Summary of the Invention

[0005] The purpose of this invention is to provide a road patrol coverage analysis method and system based on road maintenance, so as to solve the problem of "how to improve road patrol coverage through driving recorders and optical verification equipment" mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution:

[0007] A method for analyzing road patrol coverage based on road maintenance, the method comprising:

[0008] Obtain road patrol tasks, determine patrol routes, and divide them into several segments. Collect attribute data for each segment, including at least: traffic flow and type. Set risk levels, with each risk level corresponding to an adaptive speed, and construct a vehicle speed monitoring strategy.

[0009] Road patrol tasks are assigned to patrol vehicles, and dashcams pre-installed in the patrol vehicles are used to collect video data of the roads and construct a risk set consisting of several risk characteristics;

[0010] Traverse the risk set, determine whether there are risk features in the video data, and if so, activate the pre-edited emergency response rules, extract the snapshot containing the risk features, generate alarm information, and push it to the patrol vehicle;

[0011] Grant access to the optical verification device installed in the patrol vehicle, verify the alarm information, extract the alarm object from the verified alarm information, write the alarm object into a preset template, generate a verification task, and send it to a preset terminal.

[0012] Furthermore, the steps of acquiring road patrol tasks, determining patrol routes, dividing them into several segments, and collecting attribute data for each segment include:

[0013] Collect multi-source data for each segment, wherein the multi-source data includes at least: historical patrol data and publicly available data; adjust the risk level, wherein the adjustment includes: increasing and decreasing.

[0014] Integrate all sections and risk levels to create a map showing the distribution of hazardous road sections.

[0015] Furthermore, the step of setting risk levels, with each risk level corresponding to an adaptation speed, includes:

[0016] Generate alert policies that correspond one-to-one with risk levels and write them to preset terminals;

[0017] Create a public information platform for road maintenance, and publish the distribution map of the dangerous road sections and the warning strategies on the public information platform.

[0018] Furthermore, the step of collecting video data from the roads and constructing a risk set consisting of several risk features includes:

[0019] Obtain historical segments of the video data to identify risk characteristics;

[0020] Descriptive information is inserted into the risk characteristics to obtain a risk set.

[0021] Furthermore, the step of traversing the risk set to determine whether risk features exist in the video data, and if so, activating the pre-edited emergency response rules, includes:

[0022] Record the snapshot generation time and write it to the alarm information;

[0023] Align the snapshots, generation times, and risk characteristics, and grant access to the snapshots to the public disclosure platform.

[0024] Furthermore, the steps of extracting the alarm object, writing the alarm object into a preset template, generating a verification task, and sending it to a preset terminal include:

[0025] The type of defect corresponding to the alarm object is determined, and voice feedback is collected via the patrol vehicle. The voice feedback and defect type are integrated to generate a patrol report.

[0026] Blind spots are extracted from the alarm information, and the blind spots and alarm objects are compared to obtain the coverage analysis results, where each segment corresponds to an analysis result.

[0027] Furthermore, the system includes:

[0028] The module is used to acquire road patrol tasks, determine patrol routes, divide them into several segments, collect attribute data for each segment, wherein the attribute data includes at least: traffic flow and type, set risk levels, each risk level corresponds to an adaptive speed, and construct a vehicle speed monitoring strategy.

[0029] The dispatch module is used to dispatch road patrol tasks to patrol vehicles. It uses the driving recorder pre-installed in the patrol vehicle to collect video data of the road and construct a risk set composed of several risk features.

[0030] The traversal module is used to traverse the risk set, determine whether there are risk features in the video data, and if so, activate the pre-edited emergency response rules, extract the snapshot containing the risk features, generate alarm information, and push it to the patrol vehicle.

[0031] The open module is used to grant access to the optical verification equipment installed in the patrol vehicle, verify the alarm information, extract the alarm object from the verified alarm information, write the alarm object into a preset template, generate a verification task, and send it to a preset terminal.

[0032] Furthermore, the building module includes:

[0033] The data acquisition unit is used to collect multi-source data for each segment, wherein the multi-source data includes at least: historical patrol data and publicly available data, and to adjust the risk level, wherein the adjustment includes: increasing and decreasing.

[0034] The drawing unit is used to integrate all segments and risk levels to draw a map showing the distribution of hazardous road sections.

[0035] The writing unit is used to generate an alert policy that corresponds one-to-one with the risk level and write it to the preset terminal.

[0036] The publishing unit is used to create a public information platform for road maintenance, and to publish the dangerous road section distribution map and reminder strategies to the public information platform.

[0037] Furthermore, the distribution module includes:

[0038] The identification unit is used to acquire historical segments of the video data and identify risk characteristics;

[0039] An integration unit is used to insert descriptive information into the risk features and integrate them to obtain a risk set.

[0040] Furthermore, the traversal module includes:

[0041] The recording unit is used to record the snapshot generation time and write it into the alarm information;

[0042] The alignment unit is used to align the snapshot, generation time, and risk characteristics, and to grant access to the snapshot to the public disclosure platform.

[0043] Compared with the prior art, the beneficial effects of the present invention are:

[0044] By setting adaptive speeds, high-risk sections can be inspected in a refined manner. Inspection strategies can be set according to the actual conditions of each section, improving the adaptability of road inspections. By using dashcams for preliminary screening of roads, the intensity of manual inspections can be reduced, while obtaining intuitive road condition information. By combining manual inspections with optical verification equipment for verification, the accuracy of road inspections can be further improved, the precision of anomaly identification can be increased, and the reliability of data can be enhanced, providing a solid foundation for road maintenance decisions. This greatly increases the coverage of road inspections, eliminates blind spots, achieves efficient road inspection management, and enhances the scientific nature of maintenance decisions and road safety. Attached Figure Description

[0045] Figure 1 A flowchart illustrating the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention;

[0046] Figure 2 This is a first sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in an embodiment of the present invention;

[0047] Figure 3 This is a second sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in an embodiment of the present invention;

[0048] Figure 4 The third sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention;

[0049] Figure 5 The fourth sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention;

[0050] Figure 6 This is a block diagram of a road patrol coverage analysis system based on road maintenance, provided in an embodiment of the present invention.

[0051] Figure 7 A block diagram showing the components of the construction module in the road patrol coverage analysis system based on road maintenance provided in this embodiment of the invention;

[0052] Figure 8 This is a block diagram of the distribution module in the road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention.

[0053] Figure 9 This is a block diagram of the traversal module in the road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention.

[0054] Figure 10 This is a block diagram of the open modules in the road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0056] In Example 1, Figure 1 The implementation flow of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention is illustrated below, and is described in detail below:

[0057] S100: Obtain road patrol tasks, determine patrol routes, divide them into several segments, collect attribute data for each segment, wherein the attribute data includes at least: traffic flow and type, set risk levels, each risk level corresponds to an adaptive speed, and construct a vehicle speed monitoring strategy.

[0058] The process involves acquiring the required road patrol tasks, determining the patrol route based on task requirements and road network information, and dividing the patrol route into segments according to predetermined lengths or using intersections as nodes; for example, dividing the patrol route into segments at 100-meter intervals. Detailed data collection is performed on each segment to determine its attribute data, including traffic flow, surrounding environment, road width, and road type. A corresponding risk level is assigned to each segment: a high-risk level indicates poor road conditions, high traffic volume, or many heavily loaded vehicles, while a low-risk level corresponds to good road conditions and low traffic volume. Each risk level is associated with an adaptation speed, which is the speed the patrol vehicle should maintain during the patrol segment. Higher-risk levels require lower adaptation speeds, and there is a negative correlation between risk level and adaptation speed—the higher the risk level, the lower the adaptation speed. By monitoring the speed of patrol vehicles in real time, we can ensure that they can patrol at an appropriate speed in each section, thereby optimizing data collection accuracy and improving patrol efficiency.

[0059] S200: Distribute road patrol tasks to patrol vehicles, and use the driving recorders pre-installed in the patrol vehicles to collect video data of the roads and construct a risk set consisting of several risk characteristics.

[0060] Road patrol tasks are assigned to patrol vehicles, which are road maintenance vehicles belonging to municipal departments or relevant units. These vehicles are responsible for manually inspecting and detecting potential road risks. Patrol vehicles operate according to patrol routes and predetermined times, using dashcams or other video equipment installed in the vehicles to collect road information during the journey, obtaining video data. A risk set is created, which is a collection of risk characteristics, including: potholes, unclear road markings, road surface cracks, water accumulation or poor drainage, road obstacles and debris accumulation, etc.

[0061] S300: Traverse the risk set, determine whether there are risk features in the video data, and if so, activate the pre-edited emergency response rules, extract the snapshot containing the risk features, generate alarm information, and push it to the patrol vehicle.

[0062] The collected video data is compared and analyzed in real time with the risk set. Through image recognition, target detection, or behavior analysis, it is determined whether there are risk characteristics in the video data that are the same as those in the risk set. If risk characteristics are detected in the video data, emergency response rules are activated. Emergency response rules include: sending early warning information, playback speed prompts, recording location and time, and triggering on-site alarm devices.

[0063] Video frames containing risk characteristics are extracted from video data to obtain snapshots, and alarm information is generated. The alarm information should include: snapshot, location, and time, etc. The alarm information is sent to the patrol vehicle for storage, and then uploaded to the road maintenance management system after the patrol is completed.

[0064] S400: Grant access to the optical verification device installed in the patrol vehicle, verify the alarm information, extract the alarm object from the verified alarm information, write the alarm object into a preset template, generate a verification task, and send it to a preset terminal.

[0065] After initial verification of road risk characteristics using a dashcam, access to the optical verification device installed in the patrol vehicle is granted to the patrol personnel. The personnel use the device, either handheld or at an adjusted angle, to illuminate the road surface where the risk characteristic is located. This device can be a high-intensity flashlight or an infrared lamp, or other equipment for precise illumination and observation. The personnel manually verify the alarm information. If the verification confirms the existence of a risk characteristic, the road segment corresponding to the snapshot of that risk characteristic is defined as an alarm object. The location of the alarm object and the time corresponding to the snapshot are written into a preset template to generate a verification task, which is then sent to a preset terminal. This preset terminal refers to the patrol personnel's management terminal or a road maintenance management system. The verification task is primarily used for close-up verification and maintenance during subsequent patrols.

[0066] For example, based on the location in the snapshot and alarm information, the alarm object is determined, where the alarm object is "a certain road section in XX District of XX City (e.g., the section from 100 meters to 200 meters of Renmin Road)", and written into the preset template to obtain the verification task. The verification task is: Task No. VT-20251223-001, Alarm Object: Section from 100 meters to 200 meters of Renmin Road, Risk Type: Pothole, Risk Level: High, Task Content: Take pictures of the location of the pothole in the road section, confirm the size and depth of the pothole and the condition of the surrounding road surface, and contact relevant personnel for repair.

[0067] In Example 2, Figure 2 The first sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention is shown. The following details the steps of obtaining the road patrol task, determining the patrol route, dividing it into several segments, and collecting attribute data for each segment:

[0068] S101: Collect multi-source data for each segment, wherein the multi-source data includes at least: historical inspection data and publicly available data, and adjust the risk level, wherein the adjustment includes: increasing and decreasing.

[0069] In addition to using attribute data to classify risk levels, multi-source data should also be referenced. Multi-source data includes historical inspection data and publicly available data. Historical inspection data includes information such as road surface defects, maintenance status, inspection frequency, and abnormal events found in previous inspections, while publicly available data is road surface defect data uploaded or reported by the public. Based on multi-source data, the risk level can be adjusted, including raising or lowering the risk level of a segment.

[0070] S102: Integrate all sections and risk levels, and draw a map showing the distribution of hazardous road sections.

[0071] By integrating all segments and their corresponding risk levels, each segment is visualized and mapped according to its risk level. Different risk levels of segments are intuitively distinguished by using color depth, symbol markings, or heat maps, thus generating a dangerous road segment distribution map.

[0072] In Example 3, Figure 2 The first sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention is shown. The following details the step of setting risk levels, each risk level corresponding to an adaptation speed:

[0073] S103: Generate an alert policy that corresponds one-to-one with the risk level and write it to the preset terminal.

[0074] A corresponding alert strategy is set for each risk level. The alert strategy can be a voice alert or a visual cue. The alert strategy is written into a preset terminal to ensure that patrol personnel can obtain the risk level of the current segment in a timely manner and adjust the speed of the patrol vehicle accordingly.

[0075] S104: Create a public information platform for road maintenance, and publish the distribution map of dangerous road sections and reminder strategies on the public information platform.

[0076] Establish a public information platform that integrates modules such as information dissemination, risk warnings, and public interaction. Publish maps of dangerous road sections and warning strategies on the platform so that the public can promptly understand the risk levels of different sections.

[0077] In Example 4, Figure 3 The second sub-flowchart of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention is shown. The following details the steps of collecting video data from the road and constructing a risk set composed of several risk features:

[0078] S201: Obtain historical segments of the video data and identify risk characteristics.

[0079] The system acquires historical video clips of roads captured by dashcams and identifies risk characteristics through manual annotation. These risk characteristics include: potholes, unclear road markings, road surface cracks, water accumulation or poor drainage, road obstacles and debris accumulation, etc.

[0080] S202: Insert descriptive information into the risk features and integrate them to obtain a risk set.

[0081] Descriptive information is written into the risk characteristics, including risk type (such as potholes, cracks, landslides, water accumulation, etc.), probability of occurrence, scope of impact, and maintenance difficulty. All risk characteristics are integrated to generate a risk set.

[0082] In Example 5, Figure 4 The diagram illustrates the third sub-process flowchart of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention. The following details the steps of traversing the risk set, determining whether risk features exist in the video data, and activating pre-edited emergency response rules if so:

[0083] S301: Record the snapshot generation time and write it to the alarm information.

[0084] S302: Align the snapshot, generation time, and risk characteristics, and grant access to the snapshot to the public disclosure platform.

[0085] By aligning snapshots, generation times, and risk characteristics with the generation time, each snapshot is linked to its specific shooting time and the marked risk level to form a complete data entry. This ensures the accuracy and verifiability of the information. Furthermore, access to the snapshots is made available to the public information platform, supporting the public in proactively obtaining road condition information and raising awareness of road safety.

[0086] In Example 5, Figure 5 The fourth sub-flow diagram of the road patrol coverage analysis method based on road maintenance provided in this embodiment of the invention is shown. The steps of extracting alarm objects, writing alarm objects into a preset template, generating a verification task, and sending it to a preset terminal are described in detail below:

[0087] S401: Determine the type of defect corresponding to the alarm object, collect voice feedback via the patrol vehicle, integrate the voice feedback and defect type, and generate a patrol report.

[0088] Based on the video data collected by the patrol vehicles, the alarm objects are analyzed and identified to determine the corresponding defect types, such as road surface cracks, potholes, subsidence, worn road markings, or damaged ancillary facilities. The voice feedback content of the patrol personnel is collected in real time, and the voice feedback content is timestamped, location-bound, and processed into text to supplement the subjective description of the defect status, severity, and on-site environment. The identified defect types are integrated with the converted voice feedback information to obtain a complete patrol report.

[0089] S402: Extract blind spots from the alarm information, compare the blind spots with the alarm objects, and obtain the coverage analysis results, where each segment corresponds to an analysis result.

[0090] Based on the voice feedback from the patrol personnel, the corresponding road segments with confirmed risk characteristics in the alarm information are defined as alarm objects, while the road segments with possible or no risk characteristics are defined as blind spots, and the coverage rate is calculated. The coverage rate is the accuracy rate of the dashcam in identifying risk characteristics, and each segment with alarm information corresponds to an analysis result.

[0091] Figure 6 This diagram illustrates the structural block diagram of a road patrol coverage analysis system based on road maintenance, provided in an embodiment of the present invention. The road patrol coverage analysis system 1 based on road maintenance includes:

[0092] Module 11 is used to acquire road patrol tasks, determine patrol routes, divide them into several segments, collect attribute data for each segment, wherein the attribute data includes at least: traffic flow and type, set risk levels, each risk level corresponds to an adaptive speed, and construct a vehicle speed monitoring strategy.

[0093] The distribution module 12 is used to distribute road patrol tasks to patrol vehicles and use the driving recorder pre-installed in the patrol vehicles to collect video data of the road and construct a risk set composed of several risk features.

[0094] Traversal module 13 is used to traverse the risk set, determine whether there are risk features in the video data, and if so, activate the pre-edited emergency response rules, extract the snapshot containing the risk features, generate alarm information, and push it to the patrol vehicle.

[0095] The open module 14 is used to grant access to the optical verification device installed in the patrol vehicle, verify the alarm information, extract the alarm object from the verified alarm information, write the alarm object into a preset template, generate a verification task, and send it to a preset terminal.

[0096] Figure 7 This diagram illustrates the composition of module 11 in the road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention. Module 11 includes:

[0097] The data acquisition unit 111 is used to acquire multi-source data for each segment, wherein the multi-source data includes at least: historical patrol data and publicly available data, and to adjust the risk level, wherein the adjustment includes: increasing and decreasing.

[0098] Drawing unit 112 is used to integrate all segments and risk levels to draw a distribution map of dangerous road sections;

[0099] The writing unit 113 is used to generate an alert policy that corresponds one-to-one with the risk level and write it to a preset terminal.

[0100] The publishing unit 114 is used to create a public information platform for road maintenance, and to publish the dangerous road section distribution map and reminder strategies to the public information platform.

[0101] Figure 8 This diagram illustrates the structural composition of the distribution module 12 in the road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention. The distribution module 12 includes:

[0102] The identification unit 121 is used to acquire historical segments of the video data and identify risk characteristics;

[0103] Integration unit 122 is used to insert descriptive information into the risk features and integrate them to obtain a risk set.

[0104] Figure 9 This diagram illustrates the structural block diagram of the traversal module 13 in the road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention. The traversal module 13 includes:

[0105] Recording unit 131 is used to record the snapshot generation time and write it into the alarm information;

[0106] Alignment unit 132 is used to align the snapshot, generation time and risk characteristics, and grant access to the snapshot to the public disclosure platform.

[0107] Figure 10 This diagram illustrates the structural composition of open module 14 in a road patrol coverage analysis system based on road maintenance provided in an embodiment of the present invention. Open module 14 includes:

[0108] Feedback unit 141 is used to determine the type of defect corresponding to the alarm object, collect voice feedback via the patrol vehicle, integrate the voice feedback and the defect type, and generate a patrol report;

[0109] Unit 142 is used to extract blind spots from the alarm information, compare the blind spots with the alarm objects, and obtain the coverage analysis results, wherein each segment corresponds to an analysis result.

[0110] The construction module 11 is mainly used to complete step S100, the distribution module 12 is mainly used to complete step S200, the traversal module 13 is mainly used to complete step S300, and the opening module 14 is mainly used to complete step S400.

[0111] The acquisition unit 111 is mainly used to complete step S101, the drawing unit 112 is mainly used to complete step S102, the writing unit 113 is mainly used to complete step S103, and the publishing unit 114 is mainly used to complete step S104.

[0112] The identification unit 121 is mainly used to complete step S201, and the integration unit 122 is mainly used to complete step S202.

[0113] Recording unit 131 is mainly used to complete step S301, and alignment unit 132 is mainly used to complete step S302;

[0114] Feedback unit 141 is mainly used to complete step S401, and obtaining unit 142 is mainly used to complete step S402.

[0115] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0116] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0117] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A road patrol coverage analysis method based on road maintenance, characterized by, The method includes: Obtain road patrol tasks, determine patrol routes, and divide them into several segments. Collect attribute data for each segment, including at least: traffic flow and type. Set risk levels, with each risk level corresponding to an adaptive speed, and construct a vehicle speed monitoring strategy. Road patrol tasks are assigned to patrol vehicles, and driving recorders pre-installed in the patrol vehicles are used to collect video data of the roads and construct a risk set consisting of several risk characteristics; Traverse the risk set, determine whether there are risk features in the video data, and if so, activate the pre-edited emergency response rules, extract the snapshot containing the risk features, generate alarm information, and push it to the patrol vehicle; Grant access to the optical verification device installed in the patrol vehicle, verify the alarm information, extract the alarm object from the verified alarm information, write the alarm object into a preset template, generate a verification task, and send it to a preset terminal.

2. The road maintenance-based road patrol coverage analysis method of claim 1, characterized by, The steps of obtaining road patrol tasks, determining patrol routes, dividing them into several segments, and collecting attribute data for each segment include: Collect multi-source data for each segment, wherein the multi-source data includes at least: historical patrol data and publicly available data; adjust the risk level, wherein the adjustment includes: increasing and decreasing. Integrate all road segments and risk levels to create a map showing the distribution of hazardous road sections.

3. The road patrol coverage analysis method based on road maintenance according to claim 2, characterized in that, The step of setting risk levels, with each risk level corresponding to an adaptation speed, includes: Generate alert policies that correspond one-to-one with risk levels and write them to preset terminals; Create a public information platform for road maintenance, and publish the distribution map of the dangerous road sections and the warning strategies on the public information platform.

4. The road patrol coverage analysis method based on road maintenance according to claim 1, characterized in that, The steps for constructing a risk set consisting of several risk features from the collected road video data include: Obtain historical segments of the video data to identify risk characteristics; Descriptive information is inserted into the risk characteristics to obtain a risk set.

5. The road patrol coverage analysis method based on road maintenance according to claim 4, characterized in that, The step of traversing the risk set, determining whether there are risk features in the video data, and activating the pre-edited emergency response rules if so, includes: Record the snapshot generation time and write it to the alarm information; Align the snapshots, generation times, and risk characteristics, and grant access to the snapshots to the public disclosure platform.

6. The road patrol coverage analysis method based on road maintenance according to claim 1, characterized in that, The steps of extracting alarm objects, writing alarm objects into a preset template, generating a verification task, and sending it to a preset terminal include: The type of defect corresponding to the alarm object is determined, and voice feedback is collected via the patrol vehicle. The voice feedback and defect type are integrated to generate a patrol report. Blind spots are extracted from the alarm information, and the blind spots and alarm objects are compared to obtain the coverage analysis results, where each segment corresponds to an analysis result.

7. A road patrol coverage analysis system based on road maintenance, characterized in that, The system includes: The module is used to acquire road patrol tasks, determine patrol routes, divide them into several segments, collect attribute data for each segment, wherein the attribute data includes at least: traffic flow and type, set risk levels, each risk level corresponds to an adaptive speed, and construct a vehicle speed monitoring strategy. The dispatch module is used to dispatch road patrol tasks to patrol vehicles. It uses the driving recorder pre-installed in the patrol vehicle to collect video data of the road and construct a risk set composed of several risk features. The traversal module is used to traverse the risk set, determine whether there are risk features in the video data, and if so, activate the pre-edited emergency response rules, extract the snapshot containing the risk features, generate alarm information, and push it to the patrol vehicle. The open module is used to grant access to the optical verification equipment installed in the patrol vehicle, verify the alarm information, extract the alarm object from the verified alarm information, write the alarm object into a preset template, generate a verification task, and send it to a preset terminal.

8. The road patrol coverage analysis system based on road maintenance according to claim 7, characterized in that, The building module includes: The data acquisition unit is used to collect multi-source data for each segment, wherein the multi-source data includes at least: historical patrol data and publicly available data, and to adjust the risk level, wherein the adjustment includes: increasing and decreasing. The drawing unit is used to integrate all segments and risk levels to draw a map showing the distribution of hazardous road sections. The writing unit is used to generate an alert policy that corresponds one-to-one with the risk level and write it to the preset terminal. The publishing unit is used to create a public information platform for road maintenance, and to publish the dangerous road section distribution map and reminder strategies to the public information platform.

9. The road patrol coverage analysis system based on road maintenance according to claim 7, characterized in that, The distribution module includes: The identification unit is used to acquire historical segments of the video data and identify risk characteristics; An integration unit is used to insert descriptive information into the risk features and integrate them to obtain a risk set.

10. The road patrol coverage analysis system based on road maintenance according to claim 9, characterized in that, The traversal module includes: The recording unit is used to record the snapshot generation time and write it into the alarm information; The alignment unit is used to align the snapshot, generation time, and risk characteristics, and to grant access to the snapshot to the public disclosure platform.

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