Road maintenance patrol system and method thereof

Abstract

The invention is suitable for the field of road maintenance, and provides a road maintenance patrol system and method, and the method comprises the steps: obtaining a preset patrol road region, and generating a planned patrol path; based on the planned patrol path, collecting a patrol path directional monitoring video stream; decomposing and identifying a patrol path directional monitoring video stream, and generating and extracting a disease point location image; based on the disease point position image, matching and storing disease point position information, and generating a maintenance priority sequence; the method can automatically analyze and identify road diseases without parking, significantly improves the efficiency and accuracy of road inspection, reduces the errors and subjectivity of manual judgment, generates a maintenance priority sequence according to the severity of the diseases, and improves the maintenance efficiency. Scientific basis and decision support are provided for road maintenance management, and the maintenance work is more targeted and efficient.

Description

Technical Field

[0001] The present invention belongs to the field of road maintenance, and in particular relates to a road maintenance inspection system and method. Background Art

[0002] With the rapid development of social economy and the acceleration of urbanization, the scale and complexity of road traffic networks are increasing, and the requirements of all sectors of society for road safety, comfort and efficient operation are also increasing. As a key link to ensure road performance and extend service life, road maintenance is becoming more and more important. However, traditional road maintenance inspection methods have many drawbacks, such as heavy workload, low inspection efficiency, low manual recognition accuracy, high missed reporting rate, and untimely data aggregation, which seriously restrict the efficiency and level of road maintenance management.

[0003] Specifically, traditional road maintenance inspections mostly rely on manual inspections. Inspection routes are divided, and inspectors drive to inspect and use their naked eyes to identify road defects such as potholes, cracks, and abnormal manhole covers. When traffic is heavy, stopping to take pictures not only affects traffic, but also poses a safety hazard. To address the above issues, it is urgent to develop a road maintenance inspection system and method. Summary of the invention

[0004] The purpose of the present invention is to provide a road maintenance inspection system and method thereof, aiming to solve the problems raised in the above-mentioned background technology.

[0005] The present invention is implemented in this way. On the one hand, a road maintenance inspection method comprises:

[0006] Obtain the preset inspection road area and generate the planned inspection path;

[0007] Based on the planned inspection route, collect the inspection route directional monitoring video stream;

[0008] Decompose and identify the patrol path directional monitoring video stream, generate and extract disease point images;

[0009] Based on the disease point image, match and store the disease point location information and generate maintenance priority ranking;

[0010] Obtain the location information of the diseased points, generate and send inspection marking instructions.

[0011] As a further solution of the present invention, obtaining a preset inspection road area and generating a planned inspection path specifically includes:

[0012] Obtain historical inspection data and road thermal information within the preset inspection road area;

[0013] Extract the location information of historical disease points from historical inspection data;

[0014] Extract key thermal roads from thermal information of roads in the preset inspection road area;

[0015] Identify the overlapping points of key thermal roads and historical disease point location information, and generate key route points;

[0016] Get the inspection cycle frequency;

[0017] Determine whether the inspection cycle frequency is less than the frequency threshold;

[0018] If the inspection cycle frequency is less than the frequency threshold;

[0019] Obtain basic inspection routes and import key route points to calculate and generate planned inspection routes.

[0020] As a further solution of the present invention, the acquisition of the patrol path directional monitoring video stream based on the planned patrol path specifically includes:

[0021] Associating timeline information with patrol route directional monitoring video streams to generate time-stamped monitoring video streams;

[0022] Upload and store time-stamped surveillance video streams.

[0023] As a further solution of the present invention, the decomposition and identification of the patrol path directional monitoring video stream, and the generation and extraction of the disease point image specifically include:

[0024] Decomposing the annotated monitoring video stream into a number of monitoring image frames;

[0025] Identify the disease features and feature types of several monitoring image frames;

[0026] If a monitoring image frame has disease features, the image frame is marked and the time information of the monitoring image frame is extracted.

[0027] As a further solution of the present invention, matching and storing the location information of the diseased points based on the diseased point image and generating the maintenance priority ranking specifically includes:

[0028] Based on the time information of the monitoring image frame, matching the real-time position information of the patrol vehicle under the time information;

[0029] Based on the real-time location information of the inspection vehicle under the time information, the location information of the diseased point is generated and uploaded;

[0030] Associating a number of marked image frames corresponding to the location information of the diseased points, and obtaining the feature type of each marked image frame;

[0031] Obtain and match the preset disease feature sequence to generate a marked image frame sequence;

[0032] Based on the sequence of marked image frames, a sequence of maintenance positions is generated and sent.

[0033] As a further solution of the present invention, the obtaining of the location information of the diseased point and the generation and sending of the inspection mark instruction specifically include:

[0034] Obtain location information of several disease points and calculate and generate the longitude and latitude coordinate values ​​of the markers;

[0035] Collect the real-time latitude and longitude coordinates of the vehicle for the next inspection;

[0036] When the real-time longitude and latitude coordinates of the patrol vehicle are consistent with the marked longitude and latitude coordinates for the next inspection, a spraying instruction is generated.

[0037] As a further solution of the present invention, on the other hand, a road maintenance inspection system comprises:

[0038] A first acquisition module is used to acquire a preset patrol road area;

[0039] The first generation module is used to generate a planned inspection path;

[0040] A collection module is used to collect the patrol path directional monitoring video stream based on the planned patrol path;

[0041] Decomposition and recognition module, used to decompose and recognize patrol path directional monitoring video stream;

[0042] A generation and extraction module is used to generate and extract disease point images;

[0043] A matching and storage module is used to match and store the location information of the diseased points based on the diseased point images;

[0044] The second generation module is used to generate maintenance priority ranking;

[0045] The second acquisition module is used to obtain the location information of the disease point;

[0046] Generate and send module, used to generate and send inspection mark instructions.

[0047] As a further solution of the present invention, the first acquisition module specifically includes:

[0048] A first acquisition unit is used to acquire historical patrol data and road thermal information within a preset patrol road area;

[0049] The first extraction unit is used to extract the location information of historical disease points in the historical inspection data;

[0050] The second extraction unit is used to extract key thermal roads from the thermal information of roads in a preset patrol road area;

[0051] An identification unit is used to identify the overlapping points of key thermal roads and historical disease point location information;

[0052] A generation unit, used to generate key route points;

[0053] The second acquisition unit is used to acquire the inspection cycle frequency;

[0054] A judgment unit, used to judge whether the inspection cycle frequency is less than a frequency threshold;

[0055] The third acquisition unit is used to acquire the basic inspection path and import key route points if the inspection cycle frequency is less than the frequency threshold;

[0056] The calculation and generation unit is used to calculate and generate the planned inspection path.

[0057] The present method and system can automatically analyze and identify road defects without stopping the vehicle, significantly improving the efficiency and accuracy of road inspections and reducing the errors and subjectivity of manual judgment. At the same time, it generates maintenance priority rankings according to the severity of the defects, providing a scientific basis and decision-making support for road maintenance management, making maintenance work more targeted and efficient. By spraying markings on the pavement of problematic roads by inspection vehicles, it not only effectively reminds passing drivers to pay attention to road conditions and reduces the risk of traffic accidents, but also facilitates maintenance units to quickly identify and deal with defects in subsequent work, further improving the overall safety of the road. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a main flow chart of a road maintenance inspection method.

[0059] Figure 2 The invention relates to a flow chart for obtaining a preset inspection road area and generating a planned inspection route in a road maintenance inspection method.

[0060] Figure 3 The invention discloses a flow chart of collecting a directional monitoring video stream of a patrol path based on a planned patrol path in a road maintenance patrol method.

[0061] Figure 4 The invention discloses a flow chart for decomposing and identifying inspection paths, generating directional monitoring video streams and extracting disease point images in a road maintenance inspection method.

[0062] Figure 5 The invention discloses a flowchart for generating maintenance priority ranking based on image matching of diseased points and storing location information of diseased points in a road maintenance inspection method.

[0063] Figure 6 The invention discloses a flow chart for obtaining the location information of a disease point in a road maintenance inspection method, generating and sending an inspection mark instruction.

[0064] Figure 7 It is a main structural diagram of a road maintenance and inspection system.

[0065] Figure 8 The present invention is a structural block diagram of the first acquisition module in a road maintenance and inspection system. DETAILED DESCRIPTION

[0066] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0067] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0068] The present invention provides a road maintenance inspection system and method thereof, which solve the technical problems in the background technology.

[0069] like Figure 1 FIG. 1 is a main flow chart of a road maintenance inspection method provided by an embodiment of the present invention, wherein the road maintenance inspection method comprises:

[0070] Step S100: obtaining a preset patrol road area and generating a planned patrol route;

[0071] Step S200: Based on the planned patrol path, collecting the patrol path directional monitoring video stream;

[0072] Step S300: decomposing and identifying the patrol path directional monitoring video stream, generating and extracting the disease point image;

[0073] Step S400: Based on the disease point image, match and store the disease point location information, and generate a maintenance priority ranking;

[0074] Step S500: obtaining the location information of the diseased point, generating and sending an inspection mark instruction;

[0075] When this embodiment is applied, a patrol vehicle is provided. The patrol vehicle is equipped with a camera component and a control communication platform. The camera component is used to obtain video data. The control communication platform receives the data of the camera component and sends the data to the remote system after integration, realizes real-time communication with the remote system, transmits instructions and feedback information, and each patrol vehicle corresponds to a patrol road range. A periodic patrol plan is provided. The patrol vehicle will conduct multiple repeated patrols along the planned patrol path within a set time period. When conducting a single road patrol, a patrol road area is preset. First, the preset patrol road area is obtained, and a planned patrol path is generated. The patrol vehicle travels along the planned patrol path. Based on the planned patrol path, during the driving process of the patrol vehicle, a monitoring video stream of the directional position of the patrol path is continuously collected, and then the directional position of the patrol path is decomposed and identified. Monitor the video stream, decompose the patrol path directional monitoring video stream into several image frames, generate and extract the disease point image by identifying several image frames, the disease point is the road surface with problems, and then match and store the disease point location information based on the disease point image, determine the specific location of the road surface with problems, generate maintenance priority ranking according to the severity of the disease on the problem road surface, formulate corresponding maintenance plans, and assign them to corresponding maintenance units for implementation. At the same time, obtain the disease point location information, generate and send inspection mark instructions, when the next patrol vehicle receives the inspection mark instruction during the cycle, the next time it patrols along the planned patrol path, the problem road surface will be sprayed with marks to remind passing drivers and facilitate maintenance units to identify when performing maintenance.

[0076] like Figure 2 As shown, as a preferred embodiment of the present invention, the obtaining of the preset inspection road area and the generation of the planned inspection path specifically include:

[0077] Step S101: Acquire historical inspection data and road thermal information within a preset inspection road area;

[0078] Step S102: extracting historical disease point location information from historical inspection data;

[0079] Step S103: extracting key thermal roads from thermal information of roads in a preset patrol road area;

[0080] Step S104: identifying the overlapping points of the key thermal roads and the historical disease point location information, and generating key route points;

[0081] Step S105: Obtaining the inspection cycle frequency;

[0082] Step S106: Determine whether the inspection cycle frequency is less than the frequency threshold;

[0083] Step S107: If the inspection cycle frequency is less than the frequency threshold;

[0084] Step S108: Obtain the basic inspection path and import key route points, calculate and generate the planned inspection path;

[0085] When this embodiment is applied, after a certain position of the road is repaired and maintained, the position will be marked and stored to form historical inspection data, and when a single road inspection is carried out, a basic inspection path will be preset. First, the historical inspection data and the road thermal information in the preset inspection road area are obtained. The road thermal information is the road information with large traffic volume. The historical disease point location information in the historical inspection data is extracted, that is, the road disease location that has been repaired in the past. If the road is marked and stored as a road disease location, it indicates that the location is likely to be damaged and needs periodic monitoring. Then, the overlapping points of the key thermal roads and the historical disease point location information are identified. , generate key route points. In order to prevent the accumulation of too many key route points and cause the planned inspection path to be too long, the inspection cycle frequency is preset, that is, the number of inspections within the cycle. First, obtain the inspection cycle frequency, and determine whether the inspection cycle frequency is less than the frequency threshold. If the inspection cycle frequency is less than the frequency threshold, obtain the basic inspection path and import the key route points. On the basis of the basic inspection path, set several key route points as route points, calculate and generate the most time-saving and shortest distance planned inspection path. If the inspection cycle frequency is greater than the frequency threshold, the key route points will no longer be imported into the basic inspection path to prevent the inspection path from being too long.

[0086] like Figure 3 As shown, as a preferred embodiment of the present invention, the acquisition of the patrol path directional monitoring video stream based on the planned patrol path specifically includes:

[0087] Step S201: Associating time axis information with the patrol path directional monitoring video stream to generate a time-stamped monitoring video stream;

[0088] Step S202: Upload and store the time-stamped monitoring video stream;

[0089] When this embodiment is applied, time information is added to the directional monitoring video stream to generate a time-tagged monitoring video stream, and the time-tagged monitoring video stream is uploaded and stored for subsequent analysis and processing.

[0090] like Figure 4 As shown, as a preferred embodiment of the present invention, the decomposition and identification of the patrol path directional monitoring video stream, and the generation and extraction of the disease point image specifically include:

[0091] Step S301: decomposing the annotated monitoring video stream into a plurality of monitoring image frames;

[0092] Step S302: identifying disease features and feature types of a plurality of monitoring image frames;

[0093] Step S303: if a monitoring image frame has a disease feature, mark the image frame and extract the time information of the monitoring image frame;

[0094] It should be understood that the annotated monitoring video stream is first decomposed into several monitoring image frames, and the disease features and feature types of several monitoring image frames are identified. When identifying several monitoring image frames, a preset machine learning algorithm can be used to automatically identify the disease features in the video, such as cracks, potholes, etc. If a monitoring image frame has disease features, the image frame is marked and the time information of the monitoring image frame is extracted.

[0095] like Figure 5 As shown, as a preferred embodiment of the present invention, the generation of maintenance priority ranking based on the disease point image, matching and storing the disease point location information, specifically includes:

[0096] Step S401: Based on the time information of the monitoring image frame, matching the real-time position information of the patrol vehicle under the time information;

[0097] Step S402: Generate and upload the location information of the damaged point based on the real-time location information of the inspection vehicle under the time information;

[0098] Step S403: associating a number of marked image frames corresponding to the location information of the diseased points, and obtaining the feature type of each marked image frame;

[0099] Step S404: obtaining and matching a preset disease feature sequence to generate a marked image frame sequence;

[0100] Step S405: generating and sending a maintenance position sequence based on the marked image frame sequence;

[0101] When this embodiment is applied, first, based on the time information of the monitoring image frame, the real-time position information of the inspection vehicle under the time information is matched. The inspection vehicle has a built-in positioning system, which can locate the vehicle position in real time and view the real-time position of the vehicle at historical moments. Based on the real-time position information of the inspection vehicle under the time information, the location information of the damaged point is generated and uploaded, and several marked image frames corresponding to the location information of the damaged point are associated to obtain the feature type of each marked image frame. A damage feature sequence is preset. Different types of road damage features have different road impact severity. Different types of road damage features are maintained and sorted in advance, and then the preset damage feature sequence is obtained and matched to generate a marked image frame sequence. Based on the marked image frame sequence, a maintenance position sequence is generated and sent. The corresponding maintenance unit can subsequently perform maintenance and navigation in sequence according to the received maintenance position sequence. The maintenance position sequence includes several orderly arranged damage road position information and the damage type information of the damage road position.

[0102] like Figure 6 As shown, as a preferred embodiment of the present invention, the acquisition of the location information of the disease point and the generation and sending of the inspection mark instruction specifically include:

[0103] Step S501: obtaining location information of several disease points, and calculating and generating longitude and latitude coordinate values ​​of the marks;

[0104] Step S502: Collect the real-time latitude and longitude coordinates of the vehicle for the next inspection;

[0105] Step S503: When the real-time latitude and longitude coordinates of the next patrol vehicle are consistent with the marked longitude and longitude coordinates, a spraying instruction is generated;

[0106] When this embodiment is applied, the location information of several disease points is obtained, and the longitude and latitude coordinate values ​​of the mark are calculated and generated. When the next patrol vehicle travels according to the planned patrol route, it will pass through several disease points. When the real-time longitude and latitude coordinate values ​​of the next patrol vehicle are consistent with the longitude and latitude coordinate values ​​of the mark, a spraying instruction is generated, and the spraying equipment installed at the bottom of the patrol vehicle will spray the ground to mark it.

[0107] like Figure 7 As shown, as another preferred embodiment of the present invention, on the other hand, a road maintenance inspection system comprises:

[0108] The first acquisition module 100 is used to acquire a preset patrol road area;

[0109] The first generation module 200 is used to generate a planned inspection path;

[0110] The acquisition module 300 is used to acquire the patrol path directional monitoring video stream based on the planned patrol path;

[0111] Decomposition and identification module 400, used to decompose and identify the patrol path directional monitoring video stream;

[0112] A generation and extraction module 500 is used to generate and extract disease point images;

[0113] A matching storage module 600 is used to match and store the location information of the diseased point based on the diseased point image;

[0114] The second generation module 700 is used to generate a maintenance priority ranking;

[0115] The second acquisition module 800 is used to obtain the location information of the disease point;

[0116] A generating and sending module 900 is used to generate and send an inspection mark instruction;

[0117] When this embodiment is applied, the first acquisition module 100 acquires a preset patrol road area, the first generation module 200 generates a planned patrol path, based on the planned patrol path, the acquisition module 300 acquires a directional monitoring video stream of the patrol path, the decomposition and recognition module 400 decomposes and recognizes the directional monitoring video stream of the patrol path, the generation and extraction module 500 generates and extracts disease point images, based on the disease point images, the matching and storage module 600 matches and stores the disease point location information, the second generation module 700 generates a maintenance priority ranking, the second acquisition module 800 acquires the disease point location information, and the generation and sending module 900 generates and sends an inspection mark instruction.

[0118] like Figure 8 As shown, as another preferred embodiment of the present invention, the first acquisition module 100 specifically includes:

[0119] The first acquisition unit 101 is used to acquire historical inspection data and road thermal information in a preset inspection road area;

[0120] The first extraction unit 102 is used to extract the historical disease point location information in the historical inspection data;

[0121] The second extraction unit 103 is used to extract key thermal roads from the thermal information of roads in the preset patrol road area;

[0122] An identification unit 104 is used to identify the overlapping points of the key thermal roads and the historical disease point location information;

[0123] A generating unit 105, used for generating key route points;

[0124] The second acquisition unit 106 is used to acquire the inspection cycle frequency;

[0125] A judging unit 107, used to judge whether the inspection cycle frequency is less than a frequency threshold;

[0126] The third acquisition unit 108 is used to acquire the basic inspection path and import key route points if the inspection cycle frequency is less than the frequency threshold;

[0127] A calculation and generation unit 109, used to calculate and generate a planned inspection path;

[0128] When this embodiment is applied, the first acquisition unit 101 acquires historical inspection data and road thermal information within a preset inspection road area, the first extraction unit 102 extracts historical disease point location information in the historical inspection data, the second extraction unit 103 extracts key thermal roads in the road thermal information within the preset inspection road area, the identification unit 104 identifies the overlapping points of key thermal roads and historical disease point location information, the generation unit 105 generates key route points, the second acquisition unit 106 acquires the inspection cycle frequency, the judgment unit 107 judges whether the inspection cycle frequency is less than the frequency threshold, if the inspection cycle frequency is less than the frequency threshold, the third acquisition unit 108 acquires the basic inspection path and imports the key route points, and the calculation generation unit 109 calculates and generates the planned inspection path.

[0129] The above embodiment of the present invention provides a road maintenance inspection method and a road maintenance inspection system, which is provided with an inspection vehicle, the inspection vehicle is equipped with a camera component and a control communication platform, the camera component is used to obtain video data, the control communication platform receives the data of the camera component, and sends the data to the remote system after integration, realizes real-time communication with the remote system, transmits instructions and feedback information, each inspection vehicle corresponds to a patrol road range, and is provided with a periodic inspection plan, the inspection vehicle will perform multiple repeated inspections along the planned patrol path within a set time period, and in a single patrol During the first road inspection, a patrol road area is preset. First, the preset patrol road area is obtained to generate a planned patrol path. The patrol vehicle travels along the planned patrol path. Based on the planned patrol path, during the driving process of the patrol vehicle, a monitoring video stream of a directional position of the patrol path is continuously collected, and then the directional monitoring video stream of the patrol path is decomposed and identified. The directional monitoring video stream of the patrol path is decomposed into a number of image frames. By identifying a number of image frames, a disease point image is generated and extracted. The disease point is a road surface with problems. Then, based on the disease point image, matching and existing The method stores the location information of the disease points, determines the specific location of the road surface with problems, generates the maintenance priority ranking according to the severity of the disease on the road surface with problems, formulates the corresponding maintenance plan, and assigns it to the corresponding maintenance unit for implementation. At the same time, the location information of the disease points is obtained, and the inspection mark instruction is generated and sent. When the next inspection vehicle receives the inspection mark instruction within the cycle, the road surface with problems is sprayed with marks when it inspects along the planned inspection path next time, so as to remind the passing drivers and facilitate the identification of the maintenance unit during maintenance. The method and system can automatically analyze and identify road diseases without stopping, significantly improve the efficiency and accuracy of road inspections, and reduce the errors and subjectivity of manual judgment. At the same time, the maintenance priority ranking is generated according to the severity of the disease, which provides a scientific basis and decision-making support for road maintenance management, making the maintenance work more targeted and efficient. The spraying mark on the road surface with problems by the inspection vehicle not only effectively reminds the passing drivers to pay attention to the road conditions and reduces the risk of traffic accidents, but also facilitates the maintenance unit to quickly identify and deal with the disease in the subsequent work, further improving the overall safety of the road.

[0130] In order to load the above-mentioned method and system and enable it to run smoothly, the system, in addition to the various modules mentioned above, may also include more or fewer components than described above, or a combination of certain components, or different components, for example, it may include input and output devices, network access devices, buses, processors and memories, etc.

[0131] The processor may be a central processing unit, or other general-purpose processors, digital signal processors, application-specific integrated circuits, off-the-shelf programmable gate arrays or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the system, and various interfaces and lines are used to connect various parts.

[0132] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described 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.

[0133] The above-mentioned embodiments only express several implementation methods of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

[0134] The above description is only 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 in the protection scope of the present invention.

Claims

1. A road maintenance inspection method, characterized in that: The method comprises: Obtain the preset inspection road area and generate the planned inspection path; Based on the planned inspection route, collect the inspection route directional monitoring video stream; Decompose and identify the patrol path directional monitoring video stream, generate and extract disease point images; Based on the disease point image, match and store the disease point location information and generate maintenance priority ranking; Obtain the location information of the diseased points, generate and send inspection marking instructions.

2. The road maintenance inspection method according to claim 1, characterized in that: The obtaining of the preset inspection road area and generating the planned inspection path specifically includes: Obtain historical inspection data and road thermal information within the preset inspection road area; Extract the location information of historical disease points from historical inspection data; Extract key thermal roads from thermal information of roads in the preset inspection road area; Identify the overlapping points of key thermal roads and historical disease point location information, and generate key route points; Get the inspection cycle frequency; Determine whether the inspection cycle frequency is less than the frequency threshold; If the inspection cycle frequency is less than the frequency threshold; Obtain basic inspection routes and import key route points to calculate and generate planned inspection routes.

3. The road maintenance inspection method according to claim 2, characterized in that: The collecting of the patrol path directional monitoring video stream based on the planned patrol path specifically includes: Associating timeline information with patrol route directional monitoring video streams to generate time-stamped monitoring video streams; Upload and store time-stamped surveillance video streams.

4. The road maintenance inspection method according to claim 3, characterized in that: The decomposition and identification of the patrol path directional monitoring video stream, and the generation and extraction of the disease point image specifically include: Decomposing the annotated monitoring video stream into a number of monitoring image frames; Identify the disease features and feature types of several monitoring image frames; If a monitoring image frame has disease features, the image frame is marked and the time information of the monitoring image frame is extracted.

5. The road maintenance inspection method according to claim 4, characterized in that: The method of matching and storing the location information of the diseased points based on the diseased point image and generating the maintenance priority ranking specifically includes: Based on the time information of the monitoring image frame, matching the real-time position information of the patrol vehicle under the time information; Based on the real-time location information of the inspection vehicle under the time information, the location information of the diseased point is generated and uploaded; Associating a number of marked image frames corresponding to the location information of the diseased points, and obtaining the feature type of each marked image frame; Obtain and match the preset disease feature sequence to generate a marked image frame sequence; Based on the sequence of marked image frames, a sequence of maintenance positions is generated and sent.

6. The road maintenance inspection method according to claim 5, characterized in that: The obtaining of the location information of the diseased point and generating and sending the inspection mark instruction specifically includes: Obtain location information of several disease points and calculate and generate the longitude and latitude coordinate values ​​of the markers; Collect the real-time latitude and longitude coordinates of the vehicle for the next inspection; When the real-time longitude and latitude coordinates of the patrol vehicle are consistent with the marked longitude and latitude coordinates for the next inspection, a spraying instruction is generated.

7. A road maintenance inspection method system, characterized in that: The road maintenance inspection method according to any one of claims 1 to 6 is applied, wherein the system comprises: A first acquisition module is used to acquire a preset patrol road area; The first generation module is used to generate a planned inspection path; A collection module is used to collect the patrol path directional monitoring video stream based on the planned patrol path; Decomposition and recognition module, used to decompose and recognize patrol path directional monitoring video stream; A generation and extraction module is used to generate and extract disease point images; A matching and storage module is used to match and store the location information of the diseased points based on the diseased point images; The second generation module is used to generate maintenance priority ranking; The second acquisition module is used to obtain the location information of the disease point; Generate and send module, used to generate and send inspection mark instructions.

8. The road maintenance inspection method system according to claim 7, characterized in that: The first acquisition module specifically includes: A first acquisition unit is used to acquire historical patrol data and road thermal information in a preset patrol road area; The first extraction unit is used to extract the location information of historical disease points in the historical inspection data; The second extraction unit is used to extract key thermal roads from the thermal information of roads in a preset patrol road area; An identification unit is used to identify the overlapping points of key thermal roads and historical disease point location information; A generation unit, used to generate key route points; The second acquisition unit is used to acquire the inspection cycle frequency; A judgment unit, used to judge whether the inspection cycle frequency is less than a frequency threshold; The third acquisition unit is used to acquire the basic inspection path and import key route points if the inspection cycle frequency is less than the frequency threshold; The calculation and generation unit is used to calculate and generate the planned inspection path.

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