Road disease fusion method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a road disease fusion method, system and device and a storage medium. The method comprises the steps of collecting image information of a to-be-detected road; judging whether a traffic safety medical record or a road pavement disease exists according to the image information; if the judgment result is the traffic-safe disease, judging whether the identified traffic-safe disease is the same disease or not, and if the identified traffic-safe disease is the same disease, performing disease point reporting on the disease once; if the judgment result is the road pavement disease, judging the type of the pavement disease; and according to a preset pavement disease fusion strategy, carrying out disease point reporting on the pavement disease. The method is accurate in road surface disease and traffic safety disease point reporting, effectively solves the problem of repeated disease point reporting or incomplete and inaccurate disease identification in an existing road detection scheme, and is stable and reliable in disease detection result.

Description

Technical Field

[0001] Embodiments of the present invention relate to the field of intelligent transportation technology, and in particular, to a road defect fusion method, system, electronic device and storage medium. Background Art

[0002] As an important part of transportation infrastructure, the health of roads directly affects traffic safety, transportation efficiency and economic development. With the increase in the number of vehicles and the increase in the frequency of use, various types of defects such as cracks, potholes, and peeling will inevitably appear on the road surface. These defects not only affect driving comfort, but may also lead to traffic accidents. Moreover, not only road pavement defects, but also defects or failures of infrastructure related to traffic safety and security, such as traffic signs and guardrails, will affect traffic safety and efficiency. In view of the above problems, a pavement disease detection system has been developed. The pavement disease detection system can realize automatic detection of pavement disease type, location and other information, and the road administration department can handle and maintain the pavement disease in a timely manner according to the detection results. However, the existing pavement disease detection system often has problems such as repeated disease reporting or incomplete and inaccurate disease identification during use, and the disease detection results are unstable and unreliable.

[0003] The above problems need to be solved urgently. Summary of the invention

[0004] In order to solve the related technical problems, the present invention provides a road disease fusion method, system, electronic device and storage medium to solve the problems mentioned in the above background technology part.

[0005] To achieve the above objectives, the embodiments of the present invention adopt the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides a road damage fusion method, the method comprising:

[0007] Collect image information of the road to be inspected;

[0008] Determining whether the image information is a traffic safety medical record or a road pavement disease;

[0009] If the result of the judgment is a traffic safety disease, then judging whether the identified traffic safety disease is the same disease, if it is the same disease, reporting the disease once;

[0010] If the result of the judgment is road pavement damage, then judging the type of the road pavement damage;

[0011] According to the preset pavement disease fusion strategy, the pavement disease is reported.

[0012] As an optional implementation manner, the determining whether the identified traffic safety hazards are the same hazard, and if they are the same hazard, reporting the hazard once, includes:

[0013] Calculating the proportion of traffic safety damage areas in the plurality of traffic safety damage images;

[0014] Calculating the resolution of the traffic safety defect area in the plurality of traffic safety defect images;

[0015] Obtaining the confidence of the traffic safety hazards in the image according to the proportion of the traffic safety hazard area and the resolution of the traffic safety hazard area;

[0016] Select the picture with the highest traffic safety disease confidence and report the disease once.

[0017] As an optional implementation manner, the pavement disease reporting method according to the preset pavement disease fusion strategy includes:

[0018] Determine whether the pavement diseases on several road pavement disease pictures are the same pavement disease; when the judgment result is yes, calculate the proportion of the pavement disease area in the several road pavement disease pictures; calculate the resolution of the pavement disease area in the several road pavement disease pictures; obtain the confidence of the pavement disease in the picture according to the proportion of the pavement disease area and the resolution of the pavement disease area; select the picture with the highest confidence of the pavement disease and report the disease point once.

[0019] As an optional implementation manner, the reporting of the pavement defects according to the preset pavement defect fusion strategy further includes:

[0020] Determine whether the disease on a single road pavement disease image is a discontinuous disease; wherein the discontinuous disease is composed of a plurality of physically discontinuous sub-diseases;

[0021] If the judgment result is yes, a plurality of physically discontinuous sub-diseases are combined into an overall real disease, and the disease is controlled to be reported once.

[0022] As an optional implementation manner, the reporting of the pavement defects according to the preset pavement defect fusion strategy further includes:

[0023] Determine whether a disease on a single road pavement disease image is a nested disease; wherein the nested disease refers to a pavement disease in which a parent disease has at least one child disease;

[0024] If the judgment result is yes, the priorities of the mother disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

[0025] As an optional implementation manner, the collecting image information of the road to be inspected includes:

[0026] Image information of the road to be inspected is collected, and denoising is performed on the image information to obtain a second image of the road to be inspected.

[0027] In a second aspect, an embodiment of the present invention provides a road damage fusion system, which adopts the road damage fusion method provided in the embodiment of the first aspect, including:

[0028] An image acquisition module, used to acquire image information of the road to be inspected;

[0029] A disease judgment module, used for judging whether the image information is a traffic safety medical record or a road surface disease;

[0030] The traffic safety disease reporting module is used to determine whether the identified traffic safety disease is the same disease when the judgment result of the disease judgment module is a traffic safety disease. If it is the same disease, the disease is reported once;

[0031] A pavement disease judgment module, used to judge the type of the pavement disease when the disease judgment module determines that the disease is a pavement disease;

[0032] The pavement disease reporting module is used to report the pavement disease according to a preset pavement disease fusion strategy.

[0033] As an optional implementation, the traffic safety hazard reporting module is specifically used to: determine whether the identified traffic safety hazards are the same hazard; if they are the same hazard, report the hazard once, including: calculating the proportion of the traffic safety hazard area in the several traffic safety hazard pictures; calculating the resolution of the traffic safety hazard area in the several traffic safety hazard pictures; obtaining the confidence of the traffic safety hazard in the picture based on the proportion of the traffic safety hazard area and the resolution of the traffic safety hazard area; and selecting the picture with the highest traffic safety hazard confidence and reporting the hazard once.

[0034] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a processor and a memory connected to the processor, wherein program data is stored in the memory, and the processor calls the program data stored in the memory to execute the road disease fusion method provided in the embodiment of the first aspect above.

[0035] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, in which computer execution instructions are stored. When the computer execution instructions are executed by a processor, they are used to implement the road damage fusion method in the embodiment of the first aspect mentioned above.

[0036] The technical solution proposed in the embodiment of the present invention collects image information of the road to be inspected; determines whether it is a traffic safety medical record or a road pavement disease based on the image information; if the result of the judgment is a traffic safety disease, determines whether the identified traffic safety disease is the same disease, and if it is the same disease, reports the disease once; if the result of the judgment is a road pavement disease, determines the type of the pavement disease; reports the pavement disease based on a preset pavement disease fusion strategy. The present invention accurately reports pavement diseases and traffic safety diseases, effectively solving the problem of repeated disease reporting or incomplete and inaccurate disease identification in existing road detection schemes, and the disease detection results are stable and reliable, suitable for promotion and application. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate and understand the technical solutions in the embodiments of the present invention, the following briefly introduces the background technology of the present invention and the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the contents of the embodiments of the present invention and these drawings without paying any creative work.

[0038] Figure 1 A schematic diagram of a road damage fusion method flow chart provided in an embodiment of the present invention;

[0039] Figure 2 This is a structural block diagram of the road damage fusion system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0040] In order to make the technical problems solved by the present invention, the technical solutions adopted and the technical effects achieved clearer, the technical solutions of the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0041] Embodiment 1

[0042] Please refer to Figure 1 As stated, Figure 1 A schematic diagram of a road damage fusion method provided in an embodiment of the present invention. As shown in the figure, the road damage fusion method in this embodiment includes:

[0043] S101. Collect image information of the road to be inspected;

[0044] S102. Determine whether the image information is a traffic safety medical record or a road pavement disease;

[0045] S103. If the result of the judgment is a traffic safety hazard, then judging whether the identified traffic safety hazard is the same hazard, if it is the same hazard, reporting the hazard once;

[0046] S104. If the result of the judgment is road pavement damage, then the type of the road pavement damage is judged;

[0047] S105. According to the preset pavement disease fusion strategy, report the pavement disease points.

[0048] Exemplarily, the determining whether the identified traffic safety hazards are the same hazard, and if they are the same hazard, reporting the hazard once, includes:

[0049] Calculating the proportion of traffic safety damage areas in the plurality of traffic safety damage images;

[0050] Calculating the resolution of the traffic safety defect area in the plurality of traffic safety defect images;

[0051] Obtaining the confidence of the traffic safety hazards in the image according to the proportion of the traffic safety hazard area and the resolution of the traffic safety hazard area;

[0052] Select the picture with the highest traffic safety disease confidence and report the disease once.

[0053] Exemplarily, reporting the pavement disease points according to the preset pavement disease fusion strategy includes:

[0054] Determine whether the pavement diseases on several road pavement disease pictures are the same pavement disease; when the judgment result is yes, calculate the proportion of the pavement disease area in the several road pavement disease pictures; calculate the resolution of the pavement disease area in the several road pavement disease pictures; obtain the confidence of the pavement disease in the picture according to the proportion of the pavement disease area and the resolution of the pavement disease area; select the picture with the highest confidence of the pavement disease and report the disease point once.

[0055] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0056] Determine whether the disease on a single road pavement disease image is a discontinuous disease; wherein the discontinuous disease is composed of a plurality of physically discontinuous sub-diseases;

[0057] If the judgment result is yes, a plurality of physically discontinuous sub-diseases are combined into an overall real disease, and the disease is controlled to be reported once.

[0058] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0059] Determine whether a disease on a single road pavement disease image is a nested disease; wherein the nested disease refers to a pavement disease in which a parent disease has at least one child disease;

[0060] If the judgment result is yes, the priorities of the mother disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

[0061] Exemplarily, the collecting of image information of the road to be inspected includes:

[0062] Image information of the road to be inspected is collected, and denoising is performed on the image information to obtain a second image of the road to be inspected.

[0063] The road disease fusion method 100 proposed in this embodiment collects image information of the road to be inspected; determines whether it is a traffic safety medical record or a road pavement disease according to the image information; if the result of the judgment is a traffic safety disease, determines whether the identified traffic safety disease is the same disease, and if it is the same disease, reports the disease once; if the result of the judgment is a road pavement disease, determines the type of the pavement disease; reports the road pavement disease according to the preset pavement disease fusion strategy. The present invention accurately reports pavement diseases and traffic safety diseases, effectively solves the problem of repeated disease reporting in existing road detection schemes, and the disease detection results are stable and reliable.

[0064] Embodiment 2

[0065] This embodiment proposes a road disease fusion method, which specifically includes:

[0066] S201. Collect image information of the road to be inspected;

[0067] S202. Determine whether the image information is a traffic safety medical record or a road pavement disease;

[0068] S203. If the result of the judgment is a traffic safety hazard, then judging whether the identified traffic safety hazard is the same hazard, and if it is the same hazard, reporting the hazard once;

[0069] S204. If the result of the judgment is road pavement damage, then the type of the road pavement damage is judged;

[0070] S205. According to the preset pavement disease fusion strategy, report the pavement disease points.

[0071] Exemplarily, the determining whether the identified traffic safety hazards are the same hazard, and if they are the same hazard, reporting the hazard once, includes:

[0072] Calculating the proportion of traffic safety damage areas in the plurality of traffic safety damage images;

[0073] Calculating the resolution of the traffic safety defect area in the plurality of traffic safety defect images;

[0074] Obtaining the confidence of the traffic safety hazards in the image according to the proportion of the traffic safety hazard area and the resolution of the traffic safety hazard area;

[0075] Select the picture with the highest traffic safety disease confidence and report the disease once.

[0076] In this embodiment, when determining whether the identified traffic safety hazards are the same, the distance from the traffic safety hazard when the traffic safety hazard image is taken may also be calculated, and the hazard point may be reported once for the traffic safety hazard image that is closest.

[0077] The above solution effectively solves the problem in actual applications that traffic safety defects are traffic sign failures, which manifest as being blocked, collapsed, or tilted. A common problem is that when passing a traffic sign, many pictures are taken from far to near, and each picture is identified as a corresponding traffic safety defect by the defect detection system, resulting in multiple reporting points, while in fact only one sign has a problem.

[0078] Exemplarily, reporting the pavement disease points according to the preset pavement disease fusion strategy includes:

[0079] Determine whether the pavement diseases on several road pavement disease pictures are the same pavement disease; when the judgment result is yes, calculate the proportion of the pavement disease area in the several road pavement disease pictures; calculate the resolution of the pavement disease area in the several road pavement disease pictures; obtain the confidence of the pavement disease in the picture according to the proportion of the pavement disease area and the resolution of the pavement disease area; select the picture with the highest confidence of the pavement disease and report the disease point once.

[0080] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0081] Determine whether the disease on a single road pavement disease image is a discontinuous disease; wherein the discontinuous disease is composed of a plurality of physically discontinuous sub-diseases;

[0082] If the judgment result is yes, a plurality of physically discontinuous sub-diseases are combined into an overall real disease, and the disease is controlled to be reported once.

[0083] In this embodiment, a typical discontinuous disease is a crack disease. Cracks are sometimes discontinuous. The disease detection system identifies those that fit the contour more closely, resulting in multiple crack diseases at the same crack reporting point. In this embodiment, it is determined whether multiple physically discontinuous diseases are discontinuous diseases by determining whether the types of multiple physically discontinuous diseases and the physical distances between them are within a preset threshold range.

[0084] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0085] Determine whether a disease on a single road pavement disease image is a nested disease; wherein the nested disease refers to a pavement disease in which a parent disease has at least one child disease;

[0086] If the judgment result is yes, the priorities of the mother disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

[0087] In this embodiment, a typical nested disease is a small crack inside a pit, and there is a crack defect in the pit defect. The existing solution is to report both the pit and the crack, but the solution of this embodiment determines the physical positions of multiple disease areas. If the physical positions overlap, it is determined to be a nested disease, and the priorities of the parent disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

[0088] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0089] Determine whether the defects on the plurality of road surface defect images are long defects; wherein the long defect refers to the same defect spanning across at least two road surface defect images;

[0090] If the judgment result is yes, the road pavement disease pictures spanned by long diseases are screened, and the reporting points of the road pavement disease pictures spanned by long diseases are controlled, which effectively solves the problem that the disease fusion cannot be performed when there is a long disease, such as a very long rutting disease.

[0091] The road damage fusion method proposed in this embodiment accurately reports road surface damage and traffic safety damage, effectively solving the problem of repeated damage reporting or incomplete and inaccurate damage identification in existing road detection schemes, and the damage detection results are stable and reliable.

[0092] Embodiment 4

[0093] like Figure 2 As shown, this embodiment provides a road damage fusion system 200, which adopts the road damage fusion method proposed in the above-mentioned embodiment 1 or embodiment 2, including:

[0094] An image acquisition module 201 is used to acquire image information of the road to be inspected;

[0095] The disease determination module 202 is used to determine whether it is a traffic safety medical record or a road surface disease according to the image information;

[0096] The traffic safety disease reporting module 203 is used to determine whether the identified traffic safety diseases are the same disease when the judgment result of the disease judgment module is a traffic safety disease. If they are the same disease, the disease is reported once;

[0097] A pavement disease judging module 204 is used to judge the type of the pavement disease when the disease judging module judges that the disease is a pavement disease;

[0098] The pavement disease reporting module 205 is used to report the pavement disease according to the preset pavement disease fusion strategy.

[0099] In this embodiment, the traffic safety hazard reporting module 203 is specifically used to: determine whether the identified traffic safety hazards are the same hazard. If they are the same hazard, report the hazard once, including: calculating the proportion of the traffic safety hazard area in the several traffic safety hazard pictures; calculating the resolution of the traffic safety hazard area in the several traffic safety hazard pictures; obtaining the confidence of the traffic safety hazard in the picture based on the proportion of the traffic safety hazard area and the resolution of the traffic safety hazard area; and selecting the picture with the highest traffic safety hazard confidence and reporting the hazard once.

[0100] In this embodiment, when determining whether the identified traffic safety hazards are the same, the distance from the traffic safety hazard when the traffic safety hazard image is taken may also be calculated, and the hazard point may be reported once for the traffic safety hazard image that is closest.

[0101] The above solution effectively solves the problem in actual applications that traffic safety defects are traffic sign failures, which manifest as being blocked, collapsed, or tilted. A common problem is that when passing a traffic sign, many pictures are taken from far to near, and each picture is identified as a corresponding traffic safety defect by the defect detection system, resulting in multiple reporting points, while in fact only one sign has a problem.

[0102] Exemplarily, reporting the pavement disease points according to the preset pavement disease fusion strategy includes:

[0103] Determine whether the pavement diseases on several road pavement disease pictures are the same pavement disease; when the judgment result is yes, calculate the proportion of the pavement disease area in the several road pavement disease pictures; calculate the resolution of the pavement disease area in the several road pavement disease pictures; obtain the confidence of the pavement disease in the picture according to the proportion of the pavement disease area and the resolution of the pavement disease area; select the picture with the highest confidence of the pavement disease and report the disease point once.

[0104] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0105] Determine whether the disease on a single road pavement disease image is a discontinuous disease; wherein the discontinuous disease is composed of a plurality of physically discontinuous sub-diseases;

[0106] If the judgment result is yes, a plurality of physically discontinuous sub-diseases are combined into an overall real disease, and the disease is controlled to be reported once.

[0107] In this embodiment, a typical discontinuous disease is a crack disease. Cracks are sometimes discontinuous. The disease detection system identifies those that fit the contour more closely, resulting in multiple crack diseases at the same crack reporting point. In this embodiment, it is determined whether multiple physically discontinuous diseases are discontinuous diseases by determining whether the types of multiple physically discontinuous diseases and the physical distances between them are within a preset threshold range.

[0108] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0109] Determine whether a disease on a single road pavement disease image is a nested disease; wherein the nested disease refers to a pavement disease in which a parent disease has at least one child disease;

[0110] If the judgment result is yes, the priorities of the mother disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

[0111] In this embodiment, a typical nested disease is a small crack inside a pit, and there is a crack defect in the pit defect. The existing solution is to report both the pit and the crack, but the solution of this embodiment determines the physical positions of multiple disease areas. If the physical positions overlap, it is determined to be a nested disease, and the priorities of the parent disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

[0112] Exemplarily, the reporting of the pavement defects according to the preset pavement defect fusion strategy also includes:

[0113] Determine whether the defects on the plurality of road surface defect images are long defects; wherein the long defect refers to the same defect spanning across at least two road surface defect images;

[0114] If the judgment result is yes, the road pavement disease pictures spanned by long diseases are screened, and the reporting points of the road pavement disease pictures spanned by long diseases are controlled, which effectively solves the problem that the disease fusion cannot be performed when there is a long disease, such as a very long rutting disease.

[0115] The road defect fusion system 200 proposed in this embodiment accurately reports road surface defects and traffic safety defects, effectively solving the problem of repeated defect reporting or incomplete and inaccurate defect identification in existing road detection schemes, and the defect detection results are stable and reliable.

[0116] Embodiment 4

[0117] This embodiment provides an electronic device, which includes a processor and a memory connected to the processor, wherein program data is stored in the memory, and the processor calls the program data stored in the memory to execute any road damage fusion method such as any one of the above-mentioned embodiments 1 or 2.

[0118] Embodiment 5

[0119] This embodiment provides a computer-readable storage medium, in which computer-executable instructions are stored. When the computer-executable instructions are executed by a processor, they are used to implement any road damage fusion method as described in the first or second embodiment above.

[0120] It should be noted that the above-mentioned readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The readable storage medium can be any available medium that can be accessed by a general or special-purpose computer.

[0121] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the present invention is not limited to the specific embodiments described herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present invention. Therefore, although the present invention has been described in more detail through the above embodiments, the present invention is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present invention, and the scope of the present invention is determined by the scope of the appended claims.

Claims

1. A road disease fusion method, characterized in that: include: Collect image information of the road to be inspected; Determining whether the image information is a traffic safety medical record or a road pavement disease; If the result of the judgment is a traffic safety disease, it is judged whether the identified traffic safety disease is the same disease. If it is the same disease, the disease is reported once; If the result of the judgment is road pavement damage, then judging the type of the road pavement damage; According to the preset pavement disease fusion strategy, the pavement disease is reported.

2. The road damage fusion method according to claim 1, characterized in that: The step of judging whether the identified traffic safety diseases are the same disease, and if they are the same disease, reporting the disease once, includes: Calculating the proportion of traffic safety damage areas in the plurality of traffic safety damage images; Calculating the resolution of the traffic safety defect area in the plurality of traffic safety defect images; Obtaining the confidence of the traffic safety hazards in the image according to the proportion of the traffic safety hazard area and the resolution of the traffic safety hazard area; Select the picture with the highest traffic safety disease confidence and report the disease once.

3. The road damage fusion method according to claim 1, characterized in that: The step of reporting the pavement disease points according to the preset pavement disease fusion strategy includes: Determine whether the pavement diseases on several road pavement disease pictures are the same pavement disease; when the judgment result is yes, calculate the proportion of the pavement disease area in the several road pavement disease pictures; calculate the resolution of the pavement disease area in the several road pavement disease pictures; obtain the confidence of the pavement disease in the picture according to the proportion of the pavement disease area and the resolution of the pavement disease area; select the picture with the highest confidence of the pavement disease and report the disease point once.

4. The road damage fusion method according to claim 1, characterized in that: The method of reporting the pavement disease points according to the preset pavement disease fusion strategy also includes: Determine whether the disease on a single road pavement disease image is a discontinuous disease; wherein the discontinuous disease is composed of a plurality of physically discontinuous sub-diseases; If the judgment result is yes, a plurality of physically discontinuous sub-diseases are combined into an overall real disease, and the disease is controlled to be reported once.

5. The road damage fusion method according to claim 1, characterized in that: The method of reporting the pavement disease points according to the preset pavement disease fusion strategy also includes: Determine whether a disease on a single road pavement disease image is a nested disease; wherein the nested disease refers to a pavement disease in which a parent disease has at least one child disease; If the judgment result is yes, the priorities of the mother disease and the child disease are calculated, and the disease with the highest priority is controlled to be reported once.

6. The road damage fusion method according to any one of claims 1 to 5, characterized in that: The collecting of image information of the road to be inspected includes: Image information of the road to be inspected is collected, and denoising is performed on the image information to obtain a second image of the road to be inspected.

7. A road disease fusion system, characterized in that: The system adopts the road damage fusion method described in claim 1, comprising: An image acquisition module, used to acquire image information of the road to be inspected; A disease judgment module, used for judging whether the image information is a traffic safety medical record or a road surface disease; The traffic safety disease reporting module is used to determine whether the identified traffic safety disease is the same disease when the judgment result of the disease judgment module is a traffic safety disease. If it is the same disease, the disease is reported once; A pavement disease judgment module, used to judge the type of the pavement disease when the disease judgment module determines that the disease is a pavement disease; The pavement disease reporting module is used to report the pavement disease according to a preset pavement disease fusion strategy.

8. The road damage fusion system according to claim 7, characterized in that: The traffic safety disease reporting module is specifically used to: determine whether the identified traffic safety diseases are the same disease. When they are the same disease, report the disease once, including: calculating the proportion of the traffic safety disease area in the several traffic safety disease pictures; calculating the resolution of the traffic safety disease area in the several traffic safety disease pictures; obtaining the confidence of the traffic safety disease in the picture according to the proportion of the traffic safety disease area and the resolution of the traffic safety disease area; selecting the picture with the largest traffic safety disease confidence and reporting the disease once.

9. An electronic device, characterized in that: The electronic device includes a processor and a memory connected to the processor, wherein the memory stores program data, and the processor retrieves the program data stored in the memory to execute the road damage fusion method as described in claim 1.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, and when the computer-executable instructions are executed by a processor, they are used to implement the road damage fusion method as claimed in claim 1.

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