Highway tunnel maintenance route planning method and system based on image analysis and storage medium

Abstract

The invention discloses a highway tunnel maintenance route planning method and system based on image analysis and a storage medium, and relates to the technical field of road maintenance monitoring. According to the method, the road grid model is constructed in advance, then the road state image of each road planning interval in the target area is obtained, whether the abnormal area exists in each road planning interval in the target area is judged, and then whether maintenance configuration needs to be carried out on the abnormal area is determined according to the condition of the abnormal area. And meanwhile, according to the maintenance configuration condition of each road planning interval in the target area, the maintenance route of each road planning interval in the target area is planned, so that the abnormal area of each road planning interval in the target area can be rapidly maintained. And the traffic safety of each road planning interval in the target area is ensured. Therefore, the defects of low road maintenance efficiency and high cost in the prior art are effectively overcome.

Description

Technical Field

[0001] The present invention relates to the technical field of road maintenance monitoring, and in particular to a method, system and storage medium for planning a highway tunnel maintenance route based on image analysis. Background Art

[0002] With the continuous improvement and construction of road traffic facilities, the traffic network composed of road traffic facilities is intricate and widespread, and the corresponding road maintenance management also needs to be managed. It plays an important role in improving the social and economic benefits of roads, promoting the rapid development of the national economy, maintaining the smoothness of road traffic, stimulating domestic demand, and reducing transportation costs.

[0003] At present, the judgment of road maintenance is generally determined by some methods such as manual or external notification to determine whether the road needs maintenance, and then the road maintenance unit formulates the maintenance route and maintenance work flow of the area. However, this maintenance process has a long cycle and low maintenance efficiency, which is easy to affect road operation and increase personnel and material costs. Especially in areas where roads need maintenance, when there are large-scale and multi-point maintenance needs, it is particularly easy to cause low road maintenance efficiency and high costs. Summary of the invention

[0004] The purpose of the present invention is to solve the shortcomings of low road maintenance efficiency and high cost in the prior art, and to propose a highway tunnel maintenance route planning method, system and storage medium based on image analysis.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a highway tunnel maintenance route planning method based on image analysis, comprising:

[0007] Obtain road design information of the target area and construct a road grid model of the target area;

[0008] According to the road grid model of the target area and in combination with the road design information of the target area, the target area is divided into regions, and at least two road planning intervals are obtained in the target area;

[0009] Obtaining road status information of each road planning section in the target area, analyzing the road status information of each road planning section in the target area, and determining abnormal warning information of each road planning section in the target area respectively;

[0010] Determine the maintenance configuration information in the target area based on the abnormal warning information of each road planning section in the target area and the road design information in the target area;

[0011] According to the abnormal warning information of each road planning section in the target area and the maintenance configuration information in the target area, and combined with the road grid model of the target area, the maintenance planning route in the target area is determined.

[0012] In some feasible solutions, the method for respectively determining abnormal warning information of each road planning section in the target area includes:

[0013] Obtain image information of any road planning section in the target area, and determine the position coordinate information of the current road planning section in combination with the road grid model of the target area;

[0014] Perform image analysis and recognition on the image information of the current road planning section to determine the grayscale area distribution information of the current road planning section;

[0015] Determine the abnormal grayscale area information of the current road planning section according to the grayscale area distribution information of the current road planning section;

[0016] According to the abnormal grayscale area information of the current road planning section and combined with the road grid model of the target area, the abnormal area feature information of the current road planning section is determined;

[0017] According to the road design information of the target area, set the early warning monitoring information of the current road planning section;

[0018] The abnormal area feature information of the current road planning section is matched and compared with the early warning monitoring information of the current road planning section to determine the abnormal early warning information of the current road planning section.

[0019] In some feasible solutions, the method for determining the abnormal area characteristic information of the current road planning section includes:

[0020] Assume that there is any abnormal area m in the image information of any road planning interval in the target area, then the gray value feature of any abnormal area m is for:

[0021]

[0022] In the formula, S m is the area of ​​the abnormal region in the image information of the current road planning interval, n is the number of abnormal regions in the image information of the current road planning interval, L1 is the actual length of the abnormal region in the current road planning interval, L2 is the length of the abnormal region in the image information of the current road planning interval, and h m is the actual depth corresponding to the image grayscale value in the current road planning interval image information, and K is the compensation coefficient between the distance in the road planning interval image information and the actual distance.

[0023] In some feasible solutions, the method for determining the maintenance planning route in the target area includes:

[0024] Determine the maintenance configuration information of each road planning section in the target area according to the abnormal area characteristic information of each road planning section in the target area and in combination with the road design information of the target area;

[0025] Analyze the maintenance configuration information of each road planning section in the target area, and determine the maintenance allocation weight of each road planning section in the target area;

[0026] According to the maintenance allocation weight of each road planning section in the target area and combined with the road grid model of the target area, the time sequence information of each road planning section in the target area is formulated;

[0027] According to the maintenance time sequence information of each road planning section in the target area and combined with the road design information of the target area, the maintenance planning route in the target area is determined.

[0028] In some feasible solutions, the method for formulating the time sequence information of each road planning section in the target area to be maintained includes:

[0029] Assuming that there are n broken surfaces in any road planning interval in the target area, the priority P of the current road planning interval is:

[0030]

[0031] In the formula, A i is the area of ​​the i-th broken surface in the current road planning interval, V1 is the traffic flow (vehicles / hour) in the current road planning interval, T1 is the traffic type in the current road planning interval, ω1, ω2 and ω3 are A i , V1, and T1 are the weight ratio coefficients.

[0032] In some feasible solutions, the method for determining abnormal area characteristic information of the current road planning section further includes:

[0033] Obtain image information of the current road planning section in the target area;

[0034] According to the road design information of the target area and in combination with the road grid model of the target area, the image information of the current road planning section is divided into plane areas, and the ratio information of the image distance distribution and the actual distance situation of the current road planning section is determined;

[0035] According to the matching information of the image distance situation and the actual distance situation of the current road planning section, two intersecting abnormal area contour reference lines are constructed in the image information of the current road planning section;

[0036] According to two intersecting abnormal area contour reference lines, contour area extraction is performed on each abnormal area in the image information of the current road planning section to determine abnormal area feature information of the current road planning section.

[0037] In some feasible solutions, the method for determining abnormal area characteristic information of the current road planning section further includes:

[0038] Assume that there is a first contour reference line AB and a second contour reference line CD in the image information of any road planning interval. At this time, any abnormal area in the image information of the current road planning interval intersects with the first contour reference line AB at points A' and B', and intersects with the second contour reference line CD at points C' and D', and the first contour reference line AB and the second contour reference line CD intersect at point F. At this time, there is an abnormal area S in the image information of the current road planning interval. m for:

[0039]

[0040] In the formula, S ΔA′FD′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points A', D' and F; ΔA′FC′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points A', C' and F; ΔB′FC′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points B', C' and F; ΔB′FD′ is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points B', D' and F; M is the compensation coefficient of the area where the first contour reference line and the second contour reference line intersect the abnormal area.

[0041] In some feasible solutions, the planning method further includes:

[0042] According to the abnormal area in the road planning section image information, if the intersection area of ​​the first contour reference line and the second contour reference line with the abnormal area is larger than the abnormal area in the road planning section image information, then M>1;

[0043] If the intersection area of ​​the first contour reference line, the second contour reference line and the abnormal area is smaller than the abnormal area in the road planning section image information, then M<1, and M≠0.

[0044] In a second aspect, the present invention provides a highway tunnel maintenance route planning system based on image analysis, which adopts a highway tunnel maintenance route planning method based on image analysis as described in any one of the first aspects; the planning system further includes:

[0045] A model building module, wherein the model building module is used to build a road grid model of a target area;

[0046] A status acquisition module, wherein the status acquisition module is used to obtain road status information of a target area;

[0047] An analysis and processing module, the analysis and processing module is used to identify and analyze abnormal areas in the target area to determine abnormal warning information for each road planning section in the target area;

[0048] A resource configuration module, the resource configuration module is used to generate maintenance configuration information in the target area according to the abnormal warning information of each road planning section in the target area;

[0049] A route planning module is used to generate a maintenance planning route in a target area.

[0050] In a third aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein when the program is executed by a processor, a method for planning a highway tunnel maintenance route based on image analysis as described in any one of the first aspects is implemented.

[0051] The beneficial effects of the present invention are:

[0052] The present invention constructs a road grid model in advance, and then obtains the road state images of each road planning interval in the target area, determines whether there are abnormal areas in each road planning interval in the target area, and then determines whether maintenance configuration is required according to the abnormal area. At the same time, according to the maintenance configuration of each road planning interval in the target area, the maintenance route of each road planning interval in the target area is planned, so that the abnormal areas of each road planning interval in the target area can be quickly maintained. The traffic safety of each road planning interval in the target area is guaranteed. That is, the shortcomings of low road maintenance efficiency and high cost in the prior art are effectively solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 A schematic diagram of the overall process of a highway tunnel maintenance route planning method based on image analysis provided in an embodiment of the present invention;

[0054] Figure 2 This is a schematic diagram of the first part of the process of a highway tunnel maintenance route planning method based on image analysis provided in an embodiment of the present invention;

[0055] Figure 3A schematic diagram of the second part of the flow chart of a highway tunnel maintenance route planning method based on image analysis provided in an embodiment of the present invention;

[0056] Figure 4 A schematic diagram of abnormal region contour area extraction in a highway tunnel maintenance route planning method based on image analysis provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0057] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0058] It should be noted that all directional indications in the embodiments of the present invention (such as up, down, left, right, front, back, etc.) are only used to explain the relative position relationship, movement status, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication will also change accordingly.

[0059] In the present invention, unless otherwise clearly specified and limited, the terms "connection", "fixation", etc. should be understood in a broad sense. For example, "fixation" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0060] In addition, if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing in the full text includes three parallel schemes. Taking "A and / or B" as an example, it includes scheme A, or scheme B, or a scheme that satisfies both A and B. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the ability of ordinary technicians in the field to implement. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0061] Reference Figures 1 to 4In order to solve the shortcomings of low road maintenance efficiency and high cost in the prior art, the present invention provides a highway tunnel maintenance route planning method based on image analysis in this first aspect. The planning method pre-constructs a road grid model to achieve clear and intuitive control of the status of each road planning interval in the target area, and then obtains the road status image of each road planning interval in the target area to determine whether there is an abnormal area in each road planning interval in the target area (such as determining whether there is a broken surface), and then determines whether maintenance configuration is required for the abnormal area according to the abnormal area. At the same time, according to the maintenance configuration of each road planning interval in the target area, the maintenance route of each road planning interval in the target area is planned, so that the abnormal area of ​​each road planning interval in the target area can be quickly maintained. The traffic safety of each road planning interval in the target area is guaranteed. That is, the shortcomings of low road maintenance efficiency and high cost in the prior art are effectively solved.

[0062] Specifically, the planning method includes: obtaining the road design information of the target area in a wireless or wired manner, and then constructing a road grid model of the target area using a three-dimensional point cloud through simulation software; then dividing the target area according to the road grid model of the target area and combining the road design information of the target area, and obtaining at least two road planning intervals in the target area; that is, dividing the detection of the target area into multiple unit areas, which can more accurately determine the location of the road planning interval section that needs maintenance, and reduce the amount of calculation and detection of the target area as a whole, which is in line with social and economic benefits. Specifically, the road state information of each road planning interval in the target area can be obtained by image mode, and then the road state information of each road planning interval in the target area is analyzed, and then the abnormal warning information of each road planning interval in the target area (such as the appearance of a broken surface in the road) can be determined respectively, and then the maintenance configuration information in the target area can be determined according to the abnormal warning information of each road planning interval in the target area and the road design information of the target area; that is, the corresponding maintenance configuration scheme can be configured according to the size of the broken surface appearing in the road, and then the maintenance planning route in the target area can be determined according to the abnormal warning information of each road planning interval in the target area and the maintenance configuration information in the target area, and the road grid model of the target area. That is, in this embodiment, the corresponding maintenance configuration scheme can be configured according to the road state of each road planning interval in the target area, and then the maintenance route of the target area can be planned according to the corresponding maintenance configuration scheme, so as to realize the ability to quickly process and maintain the abnormal area of ​​each road planning interval in the target area, and ensure the normal flow of traffic in each road planning interval.

[0063] Reference Figure 2 In this embodiment, in order to facilitate understanding of how to obtain abnormal warning information for each road planning interval in the target area, any road planning interval in the target area is used for the following explanation. Specifically, the method for separately determining the abnormal warning information for each road planning interval in the target area includes: obtaining image information of any road planning interval in the target area by wireless or wired means, and determining the position coordinate information of the current road planning interval in combination with the road grid model of the target area; that is, the image information of a road planning interval can be selected at any position in the target area, and then the specific orientation of the road planning interval can be determined in combination with the road grid model of the target area, so as to provide an effective reference for the maintenance route planning in the future. After obtaining the image information of the current road planning interval, the image information of the current road planning interval is subjected to image analysis and recognition (such as extracting the grayscale value distribution of the image information of the current road planning interval), and then the grayscale area distribution information of the current road planning interval is determined; then the abnormal grayscale area information of the current road planning interval can be determined according to the grayscale area distribution information of the current road planning interval; then the abnormal area feature information of the current road planning interval is determined according to the abnormal grayscale area information of the current road planning interval and the road grid model of the target area; that is, the abnormal grayscale area that may exist in the image information of the current road planning interval can be analyzed according to the grayscale value distribution in the image information of the current road planning interval, and the feature information of the abnormal grayscale area that may exist in the image information of the current road planning interval can also be extracted according to the road grid model of the target area (such as the area size and crushing depth of the broken surface). Then, the warning monitoring information of the current road planning interval can be pre-set according to the road design information of the target area; then the abnormal area feature information of the current road planning interval is matched and compared with the warning monitoring information of the current road planning interval to determine the abnormal warning information of the current road planning interval. That is, according to the design information of the current road planning interval, the gray value monitoring threshold interval where the abnormal situation occurs can be determined, and then matched with the gray value distribution in the actual image information of the current road planning interval, so as to determine the number and area size of the abnormal areas in the current road planning interval, as well as the depth size, etc. It should be noted that the abnormal area of ​​each road planning interval in the target area can be determined by the above method.

[0064] Specifically, in this embodiment, in order to facilitate understanding of how to determine the abnormal area characteristics in the target area, the following example is given here to illustrate that the method for determining the abnormal area characteristic information of the current road planning section includes:

[0065] Assume that there is any abnormal area m in the image information of any road planning interval in the target area, then the gray value feature of any abnormal area m is for:

[0066]

[0067] In the formula, S m is the area of ​​the abnormal region in the image information of the current road planning interval, n is the number of abnormal regions in the image information of the current road planning interval, L1 is the actual length of the abnormal region in the current road planning interval, L2 is the length of the abnormal region in the image information of the current road planning interval, and h m is the actual depth corresponding to the image grayscale value in the current road planning interval image information, and K is the compensation coefficient between the distance in the road planning interval image information and the actual distance. That is, the actual depth corresponding to different image grayscale values ​​in the road planning interval image information, as well as the proportion of the image length and the actual length in the road planning interval image information can be predetermined, and the area size and depth of the abnormal area in each road planning interval image information can be determined. Thus, the characteristic information of the abnormal area in each road planning interval image information in the target area can be determined.

[0068] Reference Figure 3 In this embodiment, in order to facilitate understanding of how to plan the maintenance route for each road planning interval in the target area, the following description is made here. The method for determining the maintenance planning route in the target area includes: determining the maintenance configuration information of each road planning interval in the target area according to the abnormal area feature information of each road planning interval in the target area and combining the road design information of the target area; that is, the corresponding maintenance configuration resources can be configured according to the situation that each road planning interval in the target area may have abnormal areas, such as according to the area size and depth of the abnormal area in the image information of each road planning interval. Here, the corresponding maintenance priority can also be formulated according to the different area sizes and depths of the abnormal areas in each road planning interval in the target area, that is, the maintenance configuration information of each road planning interval in the target area can be analyzed, and the maintenance allocation weight of each road planning interval in the target area can be determined respectively; then, according to the maintenance allocation weight of each road planning interval in the target area and combining the road grid model of the target area, the maintenance time sequence information of each road planning interval in the target area can be formulated. Then, according to the time sequence information of each road planning interval in the target area and combining the road design information of the target area, the maintenance planning route in the target area is determined.

[0069] Specifically, in this embodiment, in order to facilitate understanding of how to formulate corresponding maintenance priorities according to the size and depth of the abnormal area in each road planning section, the following example is given here to illustrate. Specifically, the method for formulating the time sequence information to be maintained for each road planning section in the target area includes:

[0070] It can be assumed that there are n broken surfaces in any road planning interval in the target area, then the priority P of the current road planning interval is:

[0071]

[0072] In the formula, A i is the area of ​​the i-th broken surface in the current road planning interval, V1 is the traffic flow (vehicles / hour) in the current road planning interval, T1 is the traffic type in the current road planning interval, ω1, ω2 and ω3 are A i The weight ratio coefficients of V1, V1 and T1 are used to adjust the influence of different factors and can be set according to the actual situation. That is, the maintenance priority of different road planning intervals can be determined according to the size and depth of the abnormal area in each road planning interval, the traffic volume in each road planning interval, and the traffic type (such as main road, auxiliary road, etc.) of each road planning interval.

[0073] Reference Figure 4As shown, in some feasible schemes, in order to facilitate the extraction of area size features of the abnormal area of ​​each road planning interval in the target area, the method for determining the abnormal area feature information of the current road planning interval also includes: the image information of the current road planning interval in the target area can be obtained in advance; then, according to the road design information of the target area and in combination with the road grid model of the target area, the image information of the current road planning interval is divided into plane areas, and the image distance distribution of the current road planning interval and the ratio information of the actual distance are determined; the actual distance of the abnormal area in each road planning interval can be proportionally determined through the image information of each road planning interval, and then, according to the image distance of the current road planning interval and the ratio information of the actual distance, two intersecting abnormal area contour reference lines (such as a first contour reference line AB and a second contour reference line CD) can be constructed in the image information of the current road planning interval, and the first contour reference line AB is used to determine the maximum horizontal image distance or the maximum longitudinal image distance of the abnormal area in the image information of each road planning interval, and the second contour reference line CD is used to determine the maximum longitudinal image distance or the maximum horizontal image distance of the abnormal area in the image information of each road planning interval. Then, according to the two intersecting abnormal area contour reference lines, the contour area of ​​each abnormal area is extracted in the image information of the current road planning section to determine the abnormal area feature information of the current road planning section.

[0074] Specifically, Figure 4 As shown, in this embodiment, in order to facilitate understanding of how to extract features of the abnormal area area by constructing two intersecting abnormal area contour reference lines, the following description is given here. The method for determining the abnormal area feature information of the current road planning section also includes:

[0075] Assume that there is a first contour reference line AB and a second contour reference line CD in the image information of any road planning interval. At this time, any abnormal area in the image information of the current road planning interval intersects with the first contour reference line AB at points A' and B', and intersects with the second contour reference line CD at points C' and D', and the first contour reference line AB and the second contour reference line DC intersect at point F. At this time, there is an abnormal area S in the image information of the current road planning interval. m for:

[0076]

[0077] In formula 3, S ΔA′FD′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points A', D' and F; ΔA′FC′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points A', C' and F;ΔB′FC′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points B', C' and F; ΔB′FD′ is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal region at points B', D' and F; M is the compensation coefficient for the area where the first contour reference line and the second contour reference line intersect the abnormal region. ΔA′FD′ , S ΔA′FC′ , S ΔB′FC′ and S ΔB′FD′ The area of ​​can be calculated by constructing its three-point coordinates, such as:

[0078]

[0079] In formula 4, Among them, |A′F|, |A′D′| and |D′F| are the lengths of the three sides that make up ΔA′FD′. Correspondingly, it can be known that S ΔA′FC′ , , S ΔB′FC′ and S ΔB′FD′ The size of the area.

[0080] In this embodiment, in order to compensate for the error of the damaged area of ​​the irregular abnormal area calculated by the above-mentioned point coordinates, based on the abnormal area in the road planning interval image information, if the area of ​​the intersection of the first contour reference line and the second contour reference line with the abnormal area is larger than the abnormal area in the road planning interval image information, then M>1; if the area of ​​the intersection of the first contour reference line and the second contour reference line with the abnormal area is smaller than the abnormal area in the road planning interval image information, then M<1, and M≠0.

[0081] In a second aspect, the present invention provides a highway tunnel maintenance route planning system based on image analysis, which adopts a highway tunnel maintenance route planning method based on image analysis described in any one of the first aspects; the planning system also includes: a model construction module, a state acquisition module, an analysis and processing module, a resource configuration module and a route planning module, the model construction module is used to construct a road grid model of the target area according to the road design information of the target area; the state acquisition module is used to obtain the road state information of the target area in a manner such as an image; the analysis and processing module is used to identify and analyze abnormal areas in the target area to determine the abnormal warning information of each road planning interval in the target area; the resource configuration module is used to generate maintenance configuration information in the target area according to the abnormal warning information of each road planning interval in the target area; the route planning module is used to generate a maintenance planning route in the target area.

[0082] In some embodiments, the planning system can communicate using any currently known or future developed network protocol such as HTTP (Hyper Text Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0083] The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), etc.

[0084] The third aspect of the present invention provides a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, a method for planning a highway tunnel maintenance route based on image analysis as described in any one of the first aspects is implemented. The computer-readable medium in this embodiment can be written in one or more programming languages ​​or a combination thereof to write computer program codes for performing the operations of some embodiments of the present disclosure, wherein the programming languages ​​include object-oriented programming languages, such as Java, Smalltalk, C++, and conventional procedural programming languages, such as "C" language or similar programming languages. The program code can be executed entirely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computer (e.g., using an Internet service provider to connect through the Internet).

[0085] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0086] In particular, according to some embodiments of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, some embodiments of the present disclosure include a computer program product, which includes a computer program carried on a computer readable medium, and the computer program includes a program code for executing the method shown in the flowchart.

[0087] The fourth aspect of the present invention provides an electronic device, comprising: one or more processors; a storage device having one or more programs stored thereon; when the one or more programs are executed by the one or more processors, the one or more processors implement a highway tunnel maintenance route planning method based on image analysis as described in the first aspect. The above-mentioned computer-readable medium may be included in the above-mentioned electronic device; or it may exist separately, that is, not assembled in the electronic device. The above-mentioned computer-readable medium carries one or more programs, and when the above-mentioned one or more programs are executed by the electronic device, the electronic device can implement a highway tunnel maintenance route planning method based on image analysis as described in the first aspect.

[0088] A fifth aspect of the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements a highway tunnel maintenance route planning method based on image analysis as described in the first aspect.

[0089] The above descriptions are only some preferred embodiments of the present disclosure and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the embodiments of the present disclosure is not limited to the technical solutions formed by a specific combination of the above-mentioned technical features, but should also cover other technical solutions formed by any combination of the above-mentioned technical features or their equivalent features without departing from the above-mentioned inventive concept. For example, the above-mentioned features are replaced with the technical features with similar functions disclosed in the embodiments of the present disclosure (but not limited to) and the technical solutions formed.

Claims

1. A highway tunnel maintenance route planning method based on image analysis, characterized in that: include: Obtain road design information of the target area and construct a road grid model of the target area; According to the road grid model of the target area and in combination with the road design information of the target area, the target area is divided into regions, and at least two road planning intervals are obtained in the target area; Obtaining road status information of each road planning section in the target area, analyzing the road status information of each road planning section in the target area, and determining abnormal warning information of each road planning section in the target area respectively; Determine the maintenance configuration information in the target area based on the abnormal warning information of each road planning section in the target area and the road design information in the target area; According to the abnormal warning information of each road planning section in the target area and the maintenance configuration information in the target area, and combined with the road grid model of the target area, the maintenance planning route in the target area is determined.

2. A highway tunnel maintenance route planning method based on image analysis according to claim 1, characterized in that: The method for respectively determining abnormal warning information of each road planning section in the target area includes: Obtain image information of any road planning section in the target area, and determine the position coordinate information of the current road planning section in combination with the road grid model of the target area; Perform image analysis and recognition on the image information of the current road planning section to determine the grayscale area distribution information of the current road planning section; Determine the abnormal grayscale area information of the current road planning section according to the grayscale area distribution information of the current road planning section; According to the abnormal grayscale area information of the current road planning section and combined with the road grid model of the target area, the abnormal area feature information of the current road planning section is determined; According to the road design information of the target area, set the early warning monitoring information of the current road planning section; The abnormal area feature information of the current road planning section is matched and compared with the early warning monitoring information of the current road planning section to determine the abnormal early warning information of the current road planning section.

3. A highway tunnel maintenance route planning method based on image analysis according to claim 2, characterized in that: The method for determining the abnormal area characteristic information of the current road planning section includes: Assume that there is any abnormal area m in the image information of any road planning interval in the target area, then the gray value feature δ of any abnormal area m is (Sm,hm) for: In the formula, S m is the area of ​​the abnormal region in the image information of the current road planning interval, n is the number of abnormal regions in the image information of the current road planning interval, L1 is the actual length of the abnormal region in the current road planning interval, L2 is the length of the abnormal region in the image information of the current road planning interval, and h m is the actual depth corresponding to the image grayscale value in the current road planning interval image information, and K is the compensation coefficient between the distance in the road planning interval image information and the actual distance.

4. A highway tunnel maintenance route planning method based on image analysis according to claim 3, characterized in that: The method for determining the maintenance planning route in the target area includes: Determine the maintenance configuration information of each road planning section in the target area according to the abnormal area characteristic information of each road planning section in the target area and in combination with the road design information of the target area; Analyze the maintenance configuration information of each road planning section in the target area, and determine the maintenance allocation weight of each road planning section in the target area; According to the maintenance allocation weight of each road planning section in the target area and combined with the road grid model of the target area, the time sequence information of each road planning section in the target area is formulated; According to the maintenance time sequence information of each road planning section in the target area and combined with the road design information of the target area, the maintenance planning route in the target area is determined.

5. A highway tunnel maintenance route planning method based on image analysis according to claim 4, characterized in that: The method for formulating the time sequence information of each road planning section to be maintained in the target area includes: Assuming that there are n broken surfaces in any road planning interval in the target area, the priority P of the current road planning interval is: In the formula, A i is the area of ​​the i-th broken surface in the current road planning interval, V1 is the traffic flow (vehicles / hour) in the current road planning interval, T1 is the traffic type in the current road planning interval, ω1, ω2 and ω3 are A i , V1, and T1 weight ratio coefficient.

6. A highway tunnel maintenance route planning method based on image analysis according to claim 5, characterized in that: The method for determining abnormal area characteristic information of the current road planning section also includes: Obtain image information of the current road planning section in the target area; According to the road design information of the target area and in combination with the road grid model of the target area, the image information of the current road planning section is divided into plane areas, and the ratio information of the image distance distribution and the actual distance situation of the current road planning section is determined; According to the matching information of the image distance situation and the actual distance situation of the current road planning section, two intersecting abnormal area contour reference lines are constructed in the image information of the current road planning section; According to two intersecting abnormal area contour reference lines, contour area extraction is performed on each abnormal area in the image information of the current road planning section to determine abnormal area feature information of the current road planning section.

7. A highway tunnel maintenance route planning method based on image analysis according to claim 6, characterized in that: The method for determining abnormal area characteristic information of the current road planning section also includes: Assume that there is a first contour reference line AB and a second contour reference line CD in the image information of any road planning interval. At this time, any abnormal area in the image information of the current road planning interval intersects with the first contour reference line AB at points A' and B', and intersects with the second contour reference line CD at points C' and D', and the first contour reference line AB and the second contour reference line CD intersect at point F. At this time, there is an abnormal area S in the image information of the current road planning interval. m for: In the formula, S ΔA′FD′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points A', D' and F; ΔA′FC′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points A', C' and F; ΔB′FC′ S is the area where the first contour reference line AB and the second contour reference line CD intersect the abnormal area at points B', C' and F; ΔB′FD′ is the area where the first contour reference line AB and the second contour reference line CD intersect with the abnormal region at points B', D' and F; M is the compensation coefficient of the area where the first contour reference line and the second contour reference line intersect with the abnormal region.

8. The method for planning a highway tunnel maintenance route based on image analysis according to claim 7, characterized in that: The planning method further comprises: According to the abnormal area in the road planning section image information, if the intersection area of ​​the first contour reference line and the second contour reference line with the abnormal area is larger than the abnormal area in the road planning section image information, then M>1; If the intersection area of ​​the first contour reference line, the second contour reference line and the abnormal area is smaller than the abnormal area in the road planning section image information, then M<1, and M≠0.

9. A highway tunnel maintenance route planning system based on image analysis, characterized in that: A highway tunnel maintenance route planning method based on image analysis according to any one of claims 1 to 8; The planning system further comprises: A model building module, wherein the model building module is used to build a road grid model of a target area; A status acquisition module, wherein the status acquisition module is used to obtain road status information of a target area; An analysis and processing module, the analysis and processing module is used to identify and analyze abnormal areas in the target area to determine abnormal warning information for each road planning section in the target area; A resource configuration module, the resource configuration module is used to generate maintenance configuration information in the target area according to the abnormal warning information of each road planning section in the target area; A route planning module is used to generate a maintenance planning route in a target area.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: in, When the program is executed by a processor, a highway tunnel maintenance route planning method based on image analysis as described in any one of claims 1 to 8 is implemented.

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