A city road physical structure hidden danger checking method, device and electronic equipment

Abstract

The application discloses a kind of urban road physical structure hidden danger investigation method, device and electronic equipment, method includes: obtaining the road physical structure data in target road network;According to the road physical structure data, determine the risk evaluation index data corresponding to target type road, the risk evaluation index data is determined according to the road attribute of corresponding type road;According to the risk evaluation rule and the risk evaluation index data of the preset, the risk of target type road is evaluated;According to the risk evaluation result of target type road, determine the hidden danger investigation scheme of target type road.The method of the application can make the road hidden danger investigation more efficient, effectively solve the problem that the dependence degree of existing road hidden danger investigation scheme on the working experience of investigators is high and the investigation is not thorough, greatly save the labor cost.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of big data analysis, and in particular to a city road physical structure hidden danger investigation method and device and electronic equipment. BACKGROUND

[0002] With the acceleration of urban motorization, the road traffic bearing pressure is rising, traffic accidents occur from time to time, and the risk of urban road traffic safety cannot be ignored. Exploring the road physical structure and carrying out road static physical structure hidden danger investigation is an effective way and measure to prevent and reduce road traffic accidents.

[0003] However, the existing road risk hidden danger investigation method mainly focuses on expressways or national and provincial highways, and the investigation idea is mainly based on the post-accident evaluation of the accident-prone point section by the investigators; the investigation method has the problems of low investigation efficiency, high dependence on the work experience of the investigators and incomplete investigation. SUMMARY

[0004] Therefore, the technical problem to be solved by the present application is to overcome the defects of low investigation efficiency, high dependence on the work of the investigators and incomplete investigation of the existing road risk hidden danger investigation method, so as to provide a city road physical structure hidden danger investigation method, device and electronic equipment.

[0005] According to a first aspect, the embodiments of the present application disclose a city road physical structure hidden danger investigation method, comprising: acquiring road physical structure data in a target road network; determining risk evaluation index data corresponding to a target type road according to the road physical structure data, the risk evaluation index data being determined according to the road attribute of the corresponding type road; performing risk evaluation on the target type road according to a preset risk evaluation rule and the risk evaluation index data; and determining a hidden danger investigation scheme of the target type road according to the risk evaluation result of the target type road.

[0006] Optionally, the risk evaluation on the target type road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a risk score of the target type road according to the risk evaluation index data and the corresponding preset risk evaluation rule; and performing risk level evaluation of the target type road according to the risk score.

[0007] Optionally, the target type road comprises any one or more of a road intersection, a city expressway and a city general road network.

[0008] Optionally, the risk evaluation index data corresponding to the road intersection comprises any one or more of road intersection level difference data, road intersection shape data, and road intersection widening difference data; the risk evaluation index data corresponding to the urban expressway comprises entry-exit distance data and lane number mutation difference data; and the risk evaluation index data corresponding to the urban ordinary road network comprises access level difference data.

[0009] Optionally, the target type road is a road intersection, the risk evaluation index data corresponding to the road intersection comprises road intersection level difference data, road intersection shape data, and road intersection widening difference data; the risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a first risk score corresponding to the road intersection level difference according to the road intersection level difference data, determining a second risk score corresponding to the road intersection shape according to the road intersection shape data, and determining a third risk score corresponding to the road intersection widening difference according to the road intersection widening difference data; determining a risk score of the road intersection according to the first risk score, the second risk score, and the third risk score; and determining a risk level of the road intersection according to the risk score of the road intersection.

[0010] Optionally, the target type road is an urban expressway, the risk evaluation index data corresponding to the urban expressway comprises entry-exit distance data and lane number mutation difference data; the risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a fourth risk score corresponding to the entry-exit distance according to the entry-exit distance data, and determining a fifth risk score corresponding to the lane number mutation difference according to the lane number mutation difference data; determining a risk score of the urban expressway according to the fourth risk score and the fifth risk score; and determining a risk level of the urban expressway according to the risk score of the urban expressway.

[0011] Optionally, the target type road is an urban ordinary road network, the risk evaluation index data corresponding to the urban ordinary road network comprises access level difference data; the risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a sixth risk score corresponding to the access level difference according to the access level difference data; determining a risk score of the urban ordinary road network according to the sixth risk score; and determining a risk level of the urban ordinary road network according to the risk score of the urban ordinary road network.

[0012] According to a second aspect, the embodiments of the present application further disclose a device for checking hidden dangers of physical structures of urban roads, comprising: an acquisition module configured to acquire road physical structure data of a target road network; a first determination module configured to determine risk evaluation index data corresponding to a target type of road according to the road physical structure data, the risk evaluation index data being determined according to road attributes of the corresponding type of road; a risk evaluation module configured to perform risk evaluation on the target type of road according to a preset risk evaluation rule and the risk evaluation index data; and a second determination module configured to determine a hidden danger checking scheme for the target type of road according to a risk evaluation result of the target type of road.

[0013] According to a third aspect, the embodiments of the present application further disclose an electronic device, comprising: at least one processor; and a memory connected with the at least one processor in communication; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the steps of the method for checking hidden dangers of physical structures of urban roads according to the first aspect or any optional implementation manner of the first aspect.

[0014] According to a fourth aspect, the embodiments of the present application further disclose a computer-readable storage medium having a computer program stored thereon, wherein the computer program is executed by a processor to implement the steps of the method for checking hidden dangers of physical structures of urban roads according to the first aspect or any optional implementation manner of the first aspect.

[0015] The technical scheme of the present application has the following advantages:

[0016] The method and device for checking hidden dangers of physical structures of urban roads provided by the present application comprise the following steps: acquiring road physical structure data of a target road network; determining risk evaluation index data corresponding to a target type of road according to the road physical structure data, the risk evaluation index data being determined according to road attributes of the corresponding type of road; performing risk evaluation on the target type of road according to a preset risk evaluation rule and the risk evaluation index data; and determining a hidden danger checking scheme for the target type of road according to a risk evaluation result of the target type of road. The method of the present application can perform risk evaluation on the target type of road by using a risk evaluation rule and risk evaluation index data, and determine a hidden danger checking scheme for the target type of road according to a risk evaluation result, so that the checking of road hidden dangers is more efficient, and the problems of high dependence on work experience of investigators and incomplete checking in the existing road hidden danger checking scheme are effectively solved, and the cost of manpower is greatly saved. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the specific embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or prior art description. Obviously, the drawings described below are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative effort based on these drawings.

[0018] Figure 1 A flow chart of a specific example of the urban road physical structure hidden danger checking method in the embodiment of the present application;

[0019] Figure 2 A schematic diagram of a specific example of the urban road physical structure hidden danger checking method in the embodiment of the present application;

[0020] Figure 3 A principle block diagram of a specific example of the urban road physical structure hidden danger checking device in the embodiment of the present application;

[0021] Figure 4 A specific example diagram of the electronic device in the embodiment of the present application. DETAILED DESCRIPTION

[0022] The technical solutions of the present application will be described clearly and completely below with reference to the drawings. Obviously, the described embodiments are some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative effort belong to the scope of protection of the present application.

[0023] In the description of the present application, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation of the present application. In addition, the terms "first", "second", "third" are only for the purpose of description, and cannot be understood as indicating or implying relative importance.

[0024] In the description of the present application, it should be noted that unless specifically defined and limited, the terms "mounting", "connection", "connecting" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection; it can be directly connected, or indirectly connected through intermediate medium, or it can be the internal communication of two elements, it can be wireless connection, or wired connection. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0025] In addition, the technical features involved in the different embodiments of the application described below can be combined with each other as long as there is no conflict between them.

[0026] The embodiment of the present application discloses a city road physical structure hidden danger checking method, in the embodiment of the present application, the city road physical structure hidden danger checking method can be applied to the digital city road physical structure hidden danger checking system, as shown in the figure, the method comprises the following steps: Figure 1 As shown in the figure, the method comprises the following steps:

[0027] Step 101, acquiring road physical structure data in the target road network.

[0028] Exemplarily, the target road network can be any road network to be checked for hidden dangers, in the embodiment of the present application, the road physical structure data in the target road network can be acquired through a static map structure big data platform, in the embodiment of the present application, the static map structure big data platform can include a map navigation system, a road network portrait platform, etc. The road physical structure data can include but is not limited to the physical structure data of road sections and road intersections, according to the position and traffic function of the road in the city road system, it is divided into expressway, main road, secondary road and branch road. The road section can include but is not limited to city expressway and city general road network, the city expressway refers to the highest grade city road in the city road system, the city general road network can be other roads in the city road except the city expressway, such as main road, secondary road and branch road, etc. The physical structure data corresponding to the city expressway can include point ID, point name, geometric position information, exit-entrance distance, lane number mutation difference and mutation point coordinates, etc. The physical structure data corresponding to the city general road network can include point ID, point name, geometric position information, access level difference and access coordinates, etc. The physical structure data corresponding to the road intersection can include point ID, point name, point coordinates, road intersection level difference, road intersection form, road intersection each entrance widening mutation difference and corresponding widening mutation point coordinates, etc.

[0029] Step 102, determining the risk evaluation index data corresponding to the target type road according to the road physical structure data, the risk evaluation index data is determined according to the road attribute of the corresponding type road.

[0030] Exemplarily, the target type road can be a road of a corresponding type that has a relatively large influence on the safety of the road network, such as an entrance and exit ramp, a road intersection, and the like. In an embodiment of the present application, the target type road includes, but is not limited to, any one or more of a road intersection, an urban expressway, and an urban ordinary road network. Different target type roads can correspond to different risk evaluation indexes, and the risk evaluation index data is determined according to the road attribute of the corresponding type of road.

[0031] In step 103, risk evaluation of the target type road is performed according to a preset risk evaluation rule and the risk evaluation index data.

[0032] Exemplarily, the preset risk evaluation rule can be a risk evaluation rule determined according to the target type road and the corresponding risk evaluation index, and the risk evaluation of the target type road is performed based on the risk evaluation index. The specific content of the preset risk evaluation rule is not limited in the embodiment of the present application, as long as the risk evaluation of the target type road can be truly and reliably realized. The specific content of the preset risk evaluation rule is determined by a person skilled in the art according to the actual situation.

[0033] In step 104, a hidden danger investigation scheme of the target type road is determined according to the risk evaluation result of the target type road.

[0034] Exemplarily, in the embodiment of the present application, whether the target type road has a safety hidden danger and the severity of the safety hidden danger can be determined according to the risk evaluation result of the target type road. The hidden danger investigation scheme of the target type road is determined according to the risk evaluation result of the target type road. The hidden danger investigation of the target road is performed according to the hidden danger investigation scheme. The position of the target type road that needs to be rectified can be determined according to the investigation result.

[0035] The city road physical structure hidden danger investigation method provided by the present application can perform risk evaluation of the target type road through a risk evaluation rule and risk evaluation index data, and determine a hidden danger investigation scheme of the target type road according to the risk evaluation result. The road hidden danger investigation is more efficient, and the problems of high dependence on the working experience of the investigators and incomplete investigation in the existing road hidden danger investigation scheme are effectively solved, thereby greatly saving the labor cost.

[0036] As an optional embodiment of the present application, the risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data includes: determining a risk score of the target type road according to the risk evaluation index data and the corresponding preset risk evaluation rule; and performing risk level evaluation of the target type road according to the risk score.

[0037] Exemplarily, the risk evaluation index data can be scored according to preset scoring rules, different risk evaluation index data corresponds to different scoring rules; the target type road can be evaluated according to a preset risk level evaluation rule, different risk levels can correspond to different risk scores, and the risk level of the target type road can be used to represent whether the target type road has a safety hazard and the severity of the safety hazard.

[0038] As an optional embodiment of the present application, the risk evaluation index data corresponding to the road intersection includes any multiple of road intersection level difference data, road intersection shape data and road intersection expansion difference data. Exemplarily, the road intersection level difference is an index reflecting the rationality of the function matching of the intersecting roads, and the normal matching condition of the road level difference can be as shown in the table, for example, the urban expressway (double 6 lanes and above) can be matched with the urban expressway (double 6 lanes and above), the urban expressway (double 4 lanes) and the urban road (double 8 lanes and above), at this time, the road is more adaptive and has higher safety. The increase of the level difference indicates the decrease of the adaptability of the intersecting roads, for example, when the urban expressway of double eight lanes intersects with the urban expressway of double two lanes, the adaptability of such intersecting roads is poor, and safety risks are prone to exist. The road intersection shape includes a regular road intersection and a special-shaped road intersection, and the special-shaped road intersection specified by the road intersection shape mainly includes a bevel cross road intersection, a bevel T-shaped road intersection, a Y-shaped road intersection and a multi-road intersection. The expansion difference of the road intersection entrance is the maximum number of lane changes of the expansion part when each entrance enters the road intersection. Figure 2 The risk evaluation index data corresponding to the urban expressway includes entrance and exit spacing data and lane number mutation difference data. Exemplarily, the entrance and exit spacing is the distance between the ends of adjacent two entrances on the urban expressway section; the calculation of the lane number mutation difference depends on the obtained road link attribute, each link has the attribute of the number of lanes, by detecting the lane number mutation point, extracting the link attributes before and after the mutation point, the lane number difference before and after the mutation can be obtained, and the positive value is lane narrowing and the negative value is lane widening, for example, the lane number of the entering link at the mutation point is 2, the lane number of the exiting link is 4, and the mutation difference is 2-4=-2, and similarly, the entering is 3 and the exiting is 1, and the mutation difference is 3-1=2, the positive value is lane narrowing, and the negative value is lane widening.

[0039]

[0040] ​The risk evaluation index data corresponding to the urban general road network includes access rank difference data. Exemplarily, the access rank difference refers to a rank difference value between an access and a road connected thereto.

[0041] As an optional embodiment of the present application, the target type road is a road intersection, and the risk evaluation index data corresponding to the road intersection includes road intersection rank difference data, road intersection shape data, and road intersection widening difference data. The risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data includes: determining a first risk score corresponding to the road intersection rank difference according to the road intersection rank difference data, determining a second risk score corresponding to the road intersection shape according to the road intersection shape data, and determining a third risk score corresponding to the road intersection widening difference according to the road intersection widening difference data. Exemplarily, in the embodiment of the present application, the risk evaluation index (road intersection rank difference, road intersection shape, and road intersection widening difference) corresponding to the road intersection can be scored according to the scoring rule shown in Table 1:

[0042] Table 1: Road intersection risk evaluation index scoring rule

[0043]

[0044] The risk score of the road intersection is determined according to the first risk score, the second risk score, and the third risk score. Exemplarily, in the embodiment of the present application, the first risk score, the second risk score, and the third risk score can be added, and the addition result is taken as the risk score of the road intersection.

[0045] The risk level of the road intersection is determined according to the risk score of the road intersection. Exemplarily, in the embodiment of the present application, the determination rule of the risk level of the road intersection can be: from high to low, divided into four levels, i.e., a first risk level (7-9 points, road intersection shape is abnormal, and rank difference and widening difference are in a higher influencing range), a second risk level (5-6 points, two of the three indexes are not ideal), a third risk level (3-4 points, at least one of the three indexes is relatively not ideal), and a fourth risk level (0-2 points, road intersection shape is compliant, and rank difference and widening difference are in a lower influencing range).

[0046] As an optional embodiment of the present application, the target type road is an urban expressway, and the risk evaluation index data corresponding to the urban expressway includes exit spacing data and lane number mutation difference data; the risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data includes: determining a fourth risk score corresponding to the exit spacing according to the exit spacing data, and determining a fifth risk score corresponding to the lane number mutation difference according to the lane number mutation difference data. Exemplarily, in the embodiment of the present application, the risk scores of the risk evaluation index (exit spacing and lane number mutation difference) corresponding to the urban expressway can be determined according to the scoring rule shown in Table 2:

[0047] Table 2 Scoring rule of risk evaluation index corresponding to urban expressway

[0048] Indicator name 0 points 1 point 2 points 3 points Interchange spacing Comply with specifications \ \ Do not comply with specifications Lane number mutation difference 0、1 2 －1 －2、±3

[0049] The risk score of the urban expressway is determined according to the fourth risk score and the fifth risk score. Exemplarily, in the embodiment of the present application, the fourth risk score and the fifth risk score can be added, and the addition result is taken as the risk score of the urban expressway.

[0050] The risk level of the urban expressway is determined according to the risk score of the urban expressway. Exemplarily, in the embodiment of the present application, the determination rule of the risk level of the urban expressway can be: from high to low, divided into four levels, i.e., first risk level (6 points, exit spacing of road section is not in line with regulations, and contains a large mutation point), second risk level (4-5 points, exit spacing of road section is not in line with regulations, and contains a small mutation point), third risk level (2-3 points, exit spacing of road section is not in line with regulations or only a small mutation point exists), and fourth risk level (0-1 point, exit spacing of road section is in line with regulations, and lane mutation is at most one lane widening).

[0051] As an optional embodiment of the present application, the target type road is an urban ordinary road network, and the risk evaluation index data corresponding to the urban ordinary road network includes access level difference data; the risk evaluation of the target type road according to the preset risk evaluation rule and the risk evaluation index data includes: determining a sixth risk score corresponding to the access level difference according to the access level difference data. Exemplarily, in the embodiment of the present application, the risk score of the risk evaluation index (access level difference) corresponding to the urban ordinary road network can be determined according to the scoring rule shown in Table 3:

[0052] Table 3 Scoring rule of risk evaluation index corresponding to urban ordinary road network

[0053] Indicator name 0 points 1 point 2 points 3 points Access level difference 0、1 2、3 4、5 6、7

[0054] According to the sixth risk score, a risk score of the urban general road network is determined. Exemplarily, the risk score of the urban general road network is determined according to the score result of the access rank difference corresponding to the urban general road network.

[0055] According to the risk score of the urban general road network, a risk level of the urban general road network is determined. Exemplarily, in the embodiment of the present application, the determination rule of the risk level of the urban general road network can be that different road sections are divided into four levels from high to low, that is, a first risk level (3 points, higher road level), a second risk level (2 points, second higher road level), a third risk level (1 point, lower road level) and a fourth risk level (0 point, lowest road level).

[0056] The embodiment of the present application also discloses a city road physical structure hidden danger checking device. Figure 3 As shown in the figure, the device comprises: an acquisition module 201, configured to acquire road physical structure data in a target road network; a first determination module 202, configured to determine risk evaluation index data corresponding to a target type road according to the road physical structure data, wherein the risk evaluation index data is determined according to road attributes of the corresponding type road; a risk evaluation module 203, configured to perform risk evaluation on the target type road according to a preset risk evaluation rule and the risk evaluation index data; and a second determination module 204, configured to determine a hidden danger checking scheme of the target type road according to a risk evaluation result of the target type road.

[0057] The city road physical structure hidden danger checking device provided by the present application can perform risk evaluation on the target type road through the risk evaluation rule and the risk evaluation index data, and determine the hidden danger checking scheme of the target type road according to the risk evaluation result, so that the road hidden danger checking is more efficient, and the problems such as high dependence on the working experience of investigators and incomplete checking in the existing road hidden danger checking scheme are effectively solved, and the labor cost is greatly saved.

[0058] As an optional embodiment of the present application, the risk evaluation on the target type road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a risk score of the target type road according to the risk evaluation index data and the corresponding preset risk evaluation rule; and performing risk level evaluation on the target type road according to the risk score.

[0059] As an optional embodiment of the present application, the target type road comprises any one or more of a road intersection, a city expressway and an urban general road network.

[0060] As an optional embodiment of the present invention, the risk assessment index data corresponding to the road intersection includes any combination of road intersection hierarchy difference data, road intersection shape data, and road intersection width difference data; the risk assessment index data corresponding to the urban expressway includes entrance / exit spacing data and lane number change difference data; the risk assessment index data corresponding to the urban ordinary road network includes access hierarchy difference data.

[0061] As an optional embodiment of the present invention, the risk assessment module includes: a first determining submodule, configured to determine a first risk score corresponding to the road intersection level difference based on the road intersection level difference data, determine a second risk score corresponding to the road intersection shape based on the road intersection shape data, and determine a third risk score corresponding to the road intersection widening difference based on the road intersection widening difference data; a second determining submodule, configured to determine a risk score of the road intersection based on the first risk score, the second risk score, and the third risk score; and a third determining submodule, configured to determine the risk level of the road intersection based on the risk score of the road intersection.

[0062] As an optional embodiment of the present invention, the risk assessment module includes: a fourth determining submodule, used to determine a fourth risk score corresponding to the entrance / exit spacing based on the entrance / exit spacing data, and to determine a fifth risk score corresponding to the lane number variation difference based on the lane number variation difference data; a fifth determining submodule, used to determine a risk score of the urban expressway based on the fourth risk score and the fifth risk score; and a sixth determining submodule, used to determine a risk level of the urban expressway based on the risk score of the urban expressway.

[0063] As an optional embodiment of the present invention, the risk assessment module includes: a seventh determining submodule, used to determine a sixth risk score corresponding to the access bit difference based on the access bit difference data; an eighth determining submodule, used to determine a risk score of the urban ordinary road network based on the sixth risk score; and a ninth determining submodule, used to determine a risk level of the urban ordinary road network based on the risk score of the urban ordinary road network.

[0064] This invention also provides an electronic device, such as... Figure 4 As shown, the electronic device may include a processor 401 and a memory 402, wherein the processor 401 and the memory 402 may be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0065] The processor 401 can be a central processing unit (CPU). The processor 401 can also be other general-purpose processors, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component, or a combination of the above.

[0066] The memory 402, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs and modules, such as program instructions / modules of a city road physical structure hidden danger checking method in the embodiments of the present application. The processor 401 performs various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 402, that is, implements the city road physical structure hidden danger checking method in the above method embodiments.

[0067] The memory 402 can include a program storage area and a data storage area, wherein the program storage area can store an operating system and at least one application required by a function; the data storage area can store data created by the processor 401 and the like. In addition, the memory 402 can include a high-speed random access memory, and can also include a non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state memory device. In some embodiments, the memory 402 can optionally include a memory disposed remotely with respect to the processor 401, and these remote memories can be connected to the processor 401 through a network. Examples of the above network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.

[0068] The one or more modules are stored in the memory 402, and when executed by the processor 401, perform the city road physical structure hidden danger checking method in the embodiments as shown. Figure 1 The city road physical structure hidden danger checking method in the embodiments as shown.

[0069] The above electronic device specific details can be understood by referring to the corresponding descriptions and effects of the embodiments as shown, which will not be repeated here. Figure 1 The above electronic device specific details can be understood by referring to the corresponding descriptions and effects of the embodiments as shown, which will not be repeated here.

[0070] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The program can be stored in a computer readable storage medium. When the program is executed, the program can include the processes of the above-mentioned embodiment methods. The storage medium can be a magnetic disc, an optical disc, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc. The storage medium can also include a combination of the above-mentioned types of memories.

[0071] Although the embodiments of the present application are described in conjunction with the drawings, various modifications and changes can be made by those skilled in the art without departing from the spirit and scope of the present application, and such modifications and changes fall within the scope defined by the appended claims.

Claims

1. A method for checking urban road physical structure hidden hazards, characterized in that, The method comprises the following steps: acquiring road physical structure data in a target road network; determining risk evaluation index data corresponding to a target type of road according to the road physical structure data, wherein the risk evaluation index data is determined according to road attributes of the corresponding type of road; performing risk evaluation on the target type of road according to a preset risk evaluation rule and the risk evaluation index data; determining a hidden danger investigation scheme for the target type of road according to a risk evaluation result of the target type of road; the target type of road is a road intersection, and the risk evaluation index data corresponding to the road intersection comprises road intersection level difference data, road intersection shape data and road intersection widening difference data; the road intersection shape comprises a regular road intersection and a special-shaped road intersection, and the special-shaped road intersection specified by the road intersection shape mainly comprises a bevel cross road intersection, a bevel T-shaped road intersection, a Y-shaped road intersection and a multi-lane road intersection; the widening difference of the road intersection entrance is the maximum number of lane changes of the widening part when each entrance enters the road intersection; the risk evaluation on the target type of road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a first risk score corresponding to the road intersection level difference according to the road intersection level difference data, determining a second risk score corresponding to the road intersection shape according to the road intersection shape data, and determining a third risk score corresponding to the road intersection widening difference according to the road intersection widening difference data; determining a risk score of the road intersection according to the first risk score, the second risk score and the third risk score; determining a risk level of the road intersection according to the risk score of the road intersection; the target type of road is a city expressway, and the risk evaluation index data corresponding to the city expressway comprises entrance and exit spacing data and lane number mutation difference data; the risk evaluation on the target type of road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a fourth risk score corresponding to the entrance and exit spacing according to the entrance and exit spacing data, and determining a fifth risk score corresponding to the lane number mutation difference according to the lane number mutation difference data; determining a risk score of the city expressway according to the fourth risk score and the fifth risk score; determining a risk level of the city expressway according to the risk score of the city expressway; the target type of road is a city general road network, and the risk evaluation index data corresponding to the city general road network comprises access level difference data; the risk evaluation on the target type of road according to the preset risk evaluation rule and the risk evaluation index data comprises: determining a sixth risk score corresponding to the access level difference according to the access level difference data; determining a risk score of the city general road network according to the sixth risk score; determining a risk level of the city general road network according to the risk score of the city general road network.

2. The method of claim 1, wherein, the risk evaluation on the target type of road according to the preset risk evaluation rule and the risk evaluation index data comprises: According to the risk evaluation index data and the corresponding preset risk evaluation rule, a risk score of the target type road is determined; According to the risk score, an evaluation of the risk level of the target type road is performed.

3. The method of claim 1, wherein, The target type road includes any one or more of a road intersection, an urban expressway, and an urban ordinary road network.

4. The method of claim 1, wherein, The risk evaluation index data corresponding to the road intersection includes any one or more of road intersection rank difference data, road intersection shape data, and road intersection widening difference data; the risk evaluation index data corresponding to the urban expressway includes exit spacing data and lane number mutation difference data; and the risk evaluation index data corresponding to the urban ordinary road network includes access rank difference data.

5. An urban road physical structure hidden danger checking device, characterized in that, A method for performing the method of claim 1, comprising: an acquisition module configured to acquire road physical structure data in a target road network; a first determination module configured to determine risk evaluation index data corresponding to a target type road according to the road physical structure data, the risk evaluation index data being determined according to road attributes of a corresponding type road; a risk evaluation module configured to perform risk evaluation on the target type road according to a preset risk evaluation rule and the risk evaluation index data; a second determination module configured to determine a hidden danger investigation scheme of the target type road according to a risk evaluation result of the target type road.

6. An electronic device, comprising: comprise: at least one processor; and a memory connected in communication with the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to cause the at least one processor to perform the steps of the method for investigating hidden dangers of urban road physical structures according to any one of claims 1-4.

7. A computer readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the steps of the method for investigating hidden dangers of urban road physical structures according to any one of claims 1-4. The computer program is executed by the processor to implement the steps of the method for investigating hidden dangers of urban road physical structures according to any one of claims 1-4.

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