Method, System and Storage Medium for Highway Tunnel Maintenance Route Planning Based on Image Analysis

Abstract

The present invention discloses a method, a system and a storage medium for highway tunnel maintenance route planning based on image analysis, which relates to the technical field of road maintenance monitoring. The present invention pre-constructs a road grid model, and then obtains road state images of each road planning section in the target area, determines whether there are abnormal areas in each road planning section in the target area, and then determines whether maintenance configuration is required according to the situation of the abnormal areas. At the same time, according to the maintenance configuration of each road planning section in the target area, the maintenance routes of each road planning section in the target area are planned, so as to quickly maintain the abnormal areas of each road planning section in the target area. Ensure the traffic safety of each road planning section in the target area. That is, it effectively solves the disadvantages of low road maintenance efficiency and high cost in the prior art.

Description

Technical Field

[0001] The present invention relates to the technical field of road maintenance monitoring, and particularly relates to a method, a system and a 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 carried out. It plays an important role in improving the social and economic benefits of roads, can promote the rapid development of the national economy, maintain the smoothness of road traffic, stimulate domestic demand, and reduce transportation costs.

[0003] Currently, the judgment of road maintenance is generally determined by some methods such as manual or external notification to determine whether the road needs to be maintained, and then the road maintenance unit formulates the maintenance route and maintenance work process for this area. However, this maintenance process has a long cycle and low maintenance efficiency, and is prone to affecting road operation and increasing personnel and material costs. Especially in areas where the road needs to be maintained, when there are large-area and multi-point maintenance requirements, 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 disadvantages of low road maintenance efficiency and high costs in the prior art, and to propose a method, a system and a storage medium for planning a highway tunnel maintenance route based on image analysis.

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

[0006] The present invention provides a method for planning a highway tunnel maintenance route based on image analysis in the first aspect, including:

[0007] Obtain the 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, divide the target area into regions, and obtain at least two road planning intervals in the target area;

[0009] Obtain the road condition information of each road planning interval in the target area, analyze the road condition information of each road planning interval in the target area, and respectively determine the abnormal warning information of each road planning interval in the target area;

[0010] According to the abnormal warning information of each road planning interval in the target area and in combination with the road design information of the target area, determine the maintenance configuration information in the target area;

[0011] Determine the maintenance planning route in the target area based on the abnormal warning information of each road planning section in the target area and the maintenance configuration information in the target area, and in combination with the road grid model of the target area.

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

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

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

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

[0016] Determine the abnormal area feature information of the current road planning section according to the abnormal gray area information of the current road planning section and in combination with the road grid model of the target area;

[0017] Set the warning monitoring information of the current road planning section according to the road design information of the target area;

[0018] Match and compare the abnormal area feature information of the current road planning section with the warning monitoring information of the current road planning section to determine the abnormal warning information of the current road planning section.

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

[0020] Suppose there is any abnormal area m in the image information of any road planning section in the target area, then the gray value feature of any abnormal area m is:

[0021]

[0022] In the formula, S m is the area of the abnormal area existing in the image information of the current road planning section, n is the number of abnormal areas existing in the image information of the current road planning section, L1 is the actual length of the abnormal area existing in the current road planning section, L2 is the length of the abnormal area existing in the image information of the current road planning section, h m is the actual depth corresponding to the image gray value in the image information of the current road planning section, and K is the compensation coefficient of the distance and the actual distance in the image information of the road planning section.

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

[0024] Determine the maintenance configuration information for each road planning section in the target area according to the abnormal area feature 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 for each road planning section in the target area, and respectively determine the maintenance allocation weight for each road planning section in the target area;

[0026] According to the maintenance allocation weight for each road planning section in the target area and in combination with the road grid model of the target area, formulate the maintenance timing information to be maintained for each road planning section in the target area;

[0027] Determine the maintenance planning route in the target area according to the maintenance timing information to be maintained for each road planning section in the target area and in combination with the road design information of the target area.

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

[0029] Suppose there are n broken surfaces in any road planning section in the target area, then the priority P of the current road planning section is:

[0030]

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

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

[0033] Obtain the 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, perform plane area division on the image information of the current road planning section to determine the ratio information of the image distance distribution situation and the actual distance situation of the current road planning section;

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

[0036] According to two intersecting contour reference lines of abnormal regions, the contour area of each abnormal region is extracted from the image information of the current road planning section, and the abnormal region feature information of the current road planning section is determined.

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

[0038] Suppose there is a first contour reference line AB and a second contour reference line CD in the image information of any road planning section. At this time, any abnormal region in the image information of the current road planning section intersects the first contour reference line AB at points A' and B', intersects 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. Then there is an abnormal region area S in the image information of the current road planning section m as follows:

[0039]

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

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

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

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

[0044] The present invention provides a highway tunnel maintenance route planning system based on image analysis in the second aspect, adopting any one of the highway tunnel maintenance route planning methods described in the first aspect; the planning system further includes:

[0045] A model construction module for constructing a road grid model of a target area;

[0046] A status acquisition module for acquiring road status information of a target area;

[0047] An analysis and processing module for identifying and analyzing abnormal areas in a target area to determine abnormal warning information for each road planning interval in the target area;

[0048] A resource allocation module for generating maintenance configuration information in a target area according to the abnormal warning information of each road planning interval in the target area;

[0049] A route planning module for generating 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, it implements a method for planning a maintenance route of a highway tunnel based on image analysis as described in any one of the first aspects.

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

[0052] The present invention pre-constructs a road grid model, then obtains road status 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 situation. At the same time, according to the maintenance configuration situation of each road planning interval in the target area, the maintenance routes of each road planning interval in the target area are 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 ensured. That is, it effectively solves the disadvantages of low road maintenance efficiency and high cost in the prior art. BRIEF DESCRIPTION OF THE DRAWINGS

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

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

[0055] Figure 3This is the schematic diagram of the second part of the process of a highway tunnel maintenance route planning method based on image analysis provided in the embodiments of the present invention;

[0056] Figure 4 This is the schematic diagram of the extraction of the contour area of the abnormal area in a highway tunnel maintenance route planning method based on image analysis provided in the embodiments of the present invention. Detailed implementation manners

[0057] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0058] It should be noted that all directional indications (such as up, down, left, right, front, back...) in the embodiments of the present invention are only used to explain the relative positional relationship and movement conditions between components in a specific posture (as shown in the drawings). If the specific posture changes, the directional indications 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 integrated; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components or the interaction relationship between two components, unless otherwise clearly limited. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0060] In addition, if there is a description involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first", "second" may explicitly or implicitly include at least one of the features. In addition, the meaning of "and / or" appearing throughout the text includes three parallel solutions. Taking "A and / or B" as an example, it includes solution A, solution B, or a solution that satisfies both A and B at the same time. In addition, the technical solutions between the various embodiments can be combined with each other, but it must be based on the fact that those of ordinary skill in the art can implement them. When the combination of technical solutions appears to be contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0061] Refer to Figures 1 to 4, in order to solve the problems of low efficiency and high cost in road maintenance in the prior art in this embodiment, the present invention provides a method for planning a highway tunnel maintenance route based on image analysis in this first aspect. The planning method pre-constructs a road grid model to clearly and intuitively control the states of each road planning section in the target area. Then, by obtaining the road state images of each road planning section in the target area, it is judged whether there are abnormal areas (such as judging whether there are broken surfaces) in each road planning section in the target area. Then, according to the situation of the abnormal areas, it is determined whether maintenance configuration is required. At the same time, according to the maintenance configuration of each road planning section in the target area, the maintenance routes of each road planning section in the target area are planned, so as to quickly maintain the abnormal areas of each road planning section in the target area. Ensure the traffic safety of each road planning section in the target area. That is, effectively solve the problems of low efficiency and high cost in road maintenance in the prior art.

[0062] Specifically, the planning method includes: obtaining the road design information of the target area in a wireless or wired manner, and then using simulation software to construct a road grid model of the target area with 3D point clouds; then, according to the road grid model of the target area and combining with the road design information of the target area, the target area is divided into regions, and at least two road planning sections are obtained in the target area; that is, the overall detection of the target area is divided into multiple unit areas. On the one hand, it can be more accurate and convenient to determine the location of the road planning section that needs to be maintained. On the other hand, it can also reduce the overall calculation and detection amount of the target area, which is in line with social and economic benefits. Specifically, the road state information of each road planning section in the target area can be obtained in the form of images, and then the road state information of each road planning section in the target area is analyzed, and then the abnormal warning information (such as broken surfaces in the road) of each road planning section in the target area is determined respectively. Then, according to the abnormal warning information of each road planning section in the target area and combining with the road design information of the target area, the maintenance configuration information in the target area is determined; that is, the corresponding maintenance configuration plan can be configured according to the size of the broken surface in the road, and then finally, 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 combining with the road grid model of the target area, the maintenance planning route in the target area is determined. That is, in this embodiment, the corresponding maintenance configuration plan can be configured according to the road state of each road planning section in the target area, and then the maintenance route of the target area can be planned according to the corresponding maintenance configuration plan, so as to quickly process and maintain the abnormal areas of each road planning section in the target area, and ensure the normal flow of traffic in each road planning section.

[0063] Referring to Figure 2 , in this embodiment, for the convenience of understanding how to obtain the abnormal warning information for each road planning section in the target area, the following description is given for any road planning section in the target area. Specifically, the method for respectively determining the abnormal warning information for each road planning section in the target area includes: The image information of any road planning section in the target area can be obtained by wireless or wired means, and combined with the road grid model of the target area, the position coordinate information of the current road planning section is determined; that is, the image information of a road planning section can be randomly selected in the target area, and then combined with the road grid model of the target area to determine the specific orientation of the road planning section, so as to provide an effective reference for subsequent maintenance route planning. After obtaining the image information of the current road planning section, the image information of the current road planning section is subjected to image analysis and recognition (such as extracting the gray value distribution of the image information of the current road planning section), and then the gray area distribution information of the current road planning section is determined; then, according to the gray area distribution information of the current road planning section, the abnormal gray area information of the current road planning section is determined; then, according to the abnormal gray 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; that is, the situation of the possible abnormal gray areas in the image information of the current road planning section can be analyzed according to the gray value distribution in the image information of the current road planning section, and the feature information of the possible abnormal gray areas in the image information of the current road planning section can also be extracted according to the road grid model of the target area (such as the area size and fracture depth of the fracture surface). Then, according to the road design information of the target area, the warning monitoring information of the current road planning section is preset; then, the abnormal area feature information of the current road planning section is matched and compared with the warning monitoring information of the current road planning section to determine the abnormal warning information of the current road planning section. That is, according to the design information of the current road planning section, the gray value monitoring threshold interval for abnormal situations can be determined, and then it is matched with the gray value distribution in the actual image information of the current road planning section, so as to determine the number, area size, and depth size of the abnormal areas in the current road planning section. It should be noted that the abnormal areas of each road planning section in the target area can be determined by the above method.

[0064] Specifically, in this embodiment, for the convenience of understanding how to determine the abnormal area features in the target area, the following example is given. The method for determining the abnormal area feature information of the current road planning section includes:

[0065] If 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 as follows:

[0066]

[0067] In the formula, S m is the area of the abnormal area in the current road planning interval image information, n is the number of abnormal areas in the current road planning interval image information, L1 is the actual length of the abnormal area in the current road planning interval, L2 is the length of the abnormal area in the current road planning interval image information, h m is the actual depth corresponding to the image gray value in the current road planning interval image information, and K is the compensation coefficient of the distance and the actual distance in the road planning interval image information. That is, the actual depth corresponding to different image gray values in the road planning interval image information and the proportion of the image length and the actual length in the road planning interval image information can be determined in advance, so as to determine the area size and depth of the abnormal area in each road planning interval image information. Thus, the abnormal area feature information in each road planning interval image information in the target area can be determined.

[0068] Referring to 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 given. The method for determining the maintenance planning route in the target area includes: according to the abnormal area feature information of each road planning interval in the target area and combining with the road design information of the target area, determining the maintenance configuration information of each road planning interval in the target area; that is, according to the possible abnormal area situation in each road planning interval in the target area, such as the area size and depth of the abnormal area appearing in the image information of each road planning interval, corresponding maintenance configuration resources are configured. Here, according to the different area sizes and depths of the abnormal areas existing in each road planning interval in the target area, corresponding maintenance priorities can be formulated, that is, the maintenance configuration information of each road planning interval in the target area can be analyzed to determine the maintenance distribution weight of each road planning interval in the target area respectively; then, according to the maintenance distribution weight of each road planning interval in the target area and combining with the road grid model of the target area, the to-be-maintained timing information of each road planning interval in the target area is formulated. Then, according to the to-be-maintained timing information of each road planning interval in the target area and combining with the road design information of the target area, the maintenance planning route in the target area is determined.

[0069] Specifically, in this embodiment, to facilitate understanding of how to formulate corresponding maintenance priorities based on the area and depth of abnormal areas in each road planning section, the following example is given. Specifically, the method for formulating the maintenance timing information of each road planning section in the target area includes:

[0070] It is assumed that there are n broken surfaces in any road planning section in the target area. Then the priority P of the current road planning section is:

[0071]

[0072] In the formula, A i is the area of the i-th broken surface existing in the current road planning section, V1 is the traffic flow (vehicles / hour) in the current road planning section, T1 is the traffic type in the current road planning section, and ω1, ω2, and ω3 are the weight ratio coefficients of A i , V1, and T1 respectively, which are used to adjust the influence of different factors and can be set according to the actual situation. That is, here, according to the different area sizes and depth degrees of the abnormal areas in each road planning section, the traffic flow in each road planning section, and the different traffic types (such as main roads, auxiliary roads, etc.) to which each road planning section belongs, the maintenance priority situations of different road planning sections can be determined.

[0073] Refer to Figure 4As shown, in some feasible solutions, in order to facilitate the extraction of the area size characteristics of the abnormal area in each road planning interval in the target area, the method for determining the abnormal area feature information of the current road planning interval further 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 to determine the ratio information of the image distance distribution and the actual distance situation in the current road planning interval; that is, the actual distance of the abnormal area in each road planning interval can be determined by the image information of each road planning interval, and then, according to the ratio information of the image distance situation and the actual distance situation in the current road planning interval, two intersecting abnormal area contour reference lines (such as the first contour reference line AB and the second contour reference line CD can be set) are constructed in the image information of the current road planning interval. Let the first contour reference line AB determine the maximum horizontal image distance or the maximum vertical image distance of the abnormal area in the image information of each road planning interval, and the second contour reference line CD can be used to determine the maximum vertical 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 interval to determine the abnormal area feature information of the current road planning interval.

[0074] Specifically, as Figure 4 shown, in this embodiment, in order to facilitate the understanding of how to extract the characteristics of the abnormal area area according to the construction of two intersecting abnormal area contour reference lines, the following description is made here. The method for determining the abnormal area feature information of the current road planning interval further includes:

[0075] Suppose there are 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 the first contour reference line AB at points A' and B', intersects 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. Then, there is an abnormal area area S in the image information of the current road planning interval m as:

[0076]

[0077] In Equation 3, S ΔA′FD′ 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; S ΔA′FC′ 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; SΔB′FC′ 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; S 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 for the area of the intersection region between the first contour reference line and the second contour reference line and the abnormal area. Specifically, the said S ΔA′FD′ 、S ΔA′FC′ 、S ΔB′FC′ and S ΔB′FD′ The area size can be obtained by the three - point coordinates that form it. For example:

[0078]

[0079] In Equation 4, where |A′F|, |A′D′|, and |D′F| are the distances of the three side lengths forming ΔA′FD′ respectively. Correspondingly, similarly, the area sizes of S ΔA′FC′ , S ΔB′FC′ and S ΔB′FD′ can be known.

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

[0081] The present invention provides a highway tunnel maintenance route planning system based on image analysis in the second aspect, adopting a highway tunnel maintenance route planning method described in any one of the first aspect; the planning system further includes: a model construction module, a state acquisition module, an analysis and processing module, a resource allocation 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 the form of an image; the analysis and processing module is used to identify and analyze the abnormal areas in the target area to determine the abnormal warning information for each road planning interval in the target area; the resource allocation module is used to generate the 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 the maintenance planning route in the target area.

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

[0083] The functions described above in this document 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 (FPGA), Application Specific Integrated Circuits (ASIC), Application Specific Standard Products (ASSP), System on a Chip (SOC), Complex Programmable Logic Devices (CPLD), etc.

[0084] A 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, it implements a method for planning a highway tunnel maintenance route based on image parsing as described in any one of the first aspects. The computer-readable medium in this embodiment may be written in one or more programming languages or combinations thereof to write computer program code for performing the operations of some embodiments of the present disclosure. The above programming languages include object-oriented programming languages - such as Java, Smalltalk, C++; and also include conventional procedural programming languages - such as the "C" language or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the 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 may 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 may be connected to an external computer (e.g., by using an Internet service provider to connect through the Internet).

[0085] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a portion of code that contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions noted in the blocks may occur in a different order than that noted in the accompanying drawings. For example, two consecutive blocks shown may actually be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented by a dedicated hardware-based system that performs the specified functions or operations, or by a combination of dedicated hardware and computer instructions.

[0086] Specifically, according to some embodiments of the present disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of the present disclosure include a computer program product that includes a computer program carried on a computer-readable medium, the computer program including program code for performing the methods shown in the flowcharts.

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

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

[0089] The above description is only some preferred embodiments of the present disclosure and an explanation of the applied technical principles. 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 the specific combination of the above technical features, and should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above inventive concept. For example, the technical solutions formed by mutually replacing the above features with the technical features (but not limited to) disclosed in the embodiments of the present disclosure that have similar functions.

Claims

1. A method for planning a maintenance route of a highway tunnel based on image analysis, characterized in that Including: Obtain the 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, divide the target area into regions and obtain at least two road planning intervals in the target area; Obtain the road status information of each road planning interval in the target area, analyze the road status information of each road planning interval in the target area, and respectively determine the abnormal warning information of each road planning interval in the target area; According to the abnormal warning information of each road planning interval in the target area and in combination with the road design information of the target area, determine the maintenance configuration information in the target area; 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 in combination with the road grid model of the target area, determine the maintenance planning route in the target area; Specifically, the method for respectively determining the abnormal warning information of each road planning interval in the target area includes: Obtain the image information of any road planning interval in the target area, and in combination with the road grid model of the target area, determine the position coordinate information of the current road planning interval; Conduct image analysis and recognition on the image information of the current road planning interval to determine the gray area distribution information of the current road planning interval; According to the gray area distribution information of the current road planning interval, determine the abnormal gray area information of the current road planning interval; According to the abnormal gray area information of the current road planning interval and in combination with the road grid model of the target area, determine the abnormal area feature information of the current road planning interval; According to the road design information of the target area, set the warning monitoring information of the current road planning interval; Match and compare the abnormal area feature information of the current road planning interval with the warning monitoring information of the current road planning interval to determine the abnormal warning information of the current road planning interval; Specifically, the method for determining the abnormal area feature information of the current road planning interval includes: If 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 as follows: ； Wherein, is the area of the abnormal region in the current road planning interval image information, is the number of abnormal regions in the current road planning interval image information, is the actual length of the abnormal region in the current road planning interval, is the length of the abnormal region in the current road planning interval image information, is the actual depth corresponding to the image gray value in the current road planning interval image information, is the compensation coefficient of the distance and the actual distance in the road planning interval image information.

2. The method for planning a maintenance route of a highway tunnel based on image analysis according to claim 1, wherein The method for determining the maintenance planning route in the target area includes: According to the abnormal area feature information of each road planning interval in the target area and in combination with the road design information of the target area, determine the maintenance configuration information of each road planning interval in the target area; Analyze the maintenance configuration information of each road planning interval in the target area and respectively determine the maintenance allocation weight of each road planning interval in the target area; According to the maintenance allocation weight of each road planning interval in the target area and in combination with the road grid model of the target area, formulate the maintenance timing information to be maintained for each road planning interval in the target area; According to the maintenance timing information to be maintained for each road planning interval in the target area and in combination with the road design information of the target area, determine the maintenance planning route in the target area.

3. A method for planning a maintenance route of a highway tunnel based on image analysis according to claim 2, characterized in that The method for formulating the maintenance timing information to be maintained for each road planning interval in the target area includes: If there are broken surfaces in any road planning interval in the target area, then the priority of the current road planning interval is: ; Wherein, is the area of the th fracture surface existing in the current road planning section, is the traffic flow (vehicles / hour) in the current road planning section, is the traffic type in the current road planning section, , and are respectively , , the weight ratio coefficients of the three.

4. A method for planning a maintenance route of a highway tunnel based on image analysis according to claim 3, characterized in that The method for determining the abnormal area feature information of the current road planning interval further includes: Obtain the image information of the current road planning interval in the target area; Based on 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 to determine the ratio information between the image distance distribution and the actual distance in the current road planning section; According to the ratio information between the image distance and the actual distance in 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 the two intersecting abnormal area contour reference lines, the contour area of each abnormal area is extracted from the image information of the current road planning section to determine the abnormal area feature information of the current road planning section.

5. A method for planning a maintenance route of a highway tunnel based on image analysis according to claim 4, characterized in that, The method for determining the abnormal area feature information of the current road planning section further includes: Let there be a first contour reference line in the image information of any road planning interval and a second contour reference line . At this time, any abnormal area in the image information of the current road planning interval intersects the first contour reference line at point and point, intersects the second contour reference line at point and point, and the first contour reference line and the second contour reference line intersect at point. Then, at this time, the area of the abnormal area in the image information of the current road planning interval is: ； Wherein, is the first contour reference line and the second contour reference line intersect with the abnormal area at point, point and the area of the point; is the first contour reference line and the second contour reference line intersect with the abnormal area at point, point and the area of the point; is the first contour reference line and the second contour reference line intersect with the abnormal area at point, point and the area of the point; is the first contour reference line and the second contour reference line intersect with the abnormal area at point, point and the area of the point; is the compensation coefficient of the area of the intersection region of the first contour reference line and the second contour reference line with the abnormal area.

6. The method for planning a highway tunnel maintenance route based on image analysis according to claim 5, wherein, The planning method further includes: Based on the abnormal area in the road planning interval image information, if the intersection area of the first contour reference line and the second contour reference line with the abnormal area is greater than the abnormal area in the road planning interval image information, then ; If the area of the intersection region between the first contour reference line and the second contour reference line and the abnormal region is smaller than the abnormal region in the road planning interval image information, then , and .

7. A highway tunnel maintenance route planning system based on image analysis, characterized in that, Adopting a highway tunnel maintenance route planning method based on image analysis according to any one of claims 1 to 6; The planning system further includes: A model construction module for constructing a road grid model of the target area; A state acquisition module for acquiring the road state information of the target area; An analysis and processing module for identifying and analyzing abnormal areas in the target area to determine the abnormal warning information for each road planning section in the target area; A resource allocation module for generating maintenance configuration information in the target area according to the abnormal warning information for each road planning section in the target area; A route planning module for generating a maintenance planning route in the target area.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, Wherein, When the program is executed by a processor, it realizes a highway tunnel maintenance route planning method based on image analysis according to any one of claims 1 to 6.

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