Urban road anti-seismic hidden danger troubleshooting method and device and storage medium

Abstract

The invention provides an urban road anti-seismic hidden danger troubleshooting method and device and a storage medium, and relates to the technical field of road anti-seismic hidden danger troubleshooting, and the method comprises the following steps: obtaining the road information of a target urban road, and calculating the basic state of the anti-seismic and disaster-bearing capability of the road through a mathematical operation model; obtaining anti-seismic and disaster-bearing capability data of a target urban road, and carrying out calculation result grading on the anti-seismic and disaster-bearing capability of the road by utilizing a road critical loss method and a finite element analysis method in a regular polygon approximation form; comprehensively evaluating the road anti-seismic hidden danger based on the first hidden danger calculation result and the second hidden danger calculation result, and obtaining a final hidden danger evaluation result. According to the method, the anti-seismic disaster-bearing capability of the road is comprehensively considered, so that the anti-seismic hidden danger condition of the road in the aspect of the earthquake disaster can be comprehensively evaluated, the one-sidedness possibly brought by single-dimensional evaluation is avoided, and the troubleshooting result can more widely cover the possible anti-seismic hidden danger.

Description

Technical Field

[0001] The present invention relates to the technical field of road earthquake hazard inspection, and in particular to a method, device and storage medium for urban road earthquake hazard inspection. Background Art

[0002] With the acceleration of urbanization, urban roads have become an essential part of daily transportation. Especially in areas prone to frequent earthquakes, the seismic resistance of roads is particularly important. Destructive earthquakes often damage urban road subgrade structures, manifesting as subgrade collapse, cracks, and fractures. In severe cases, they can even disrupt traffic, posing a significant threat to the safety of citizens and their property. Therefore, timely and accurate assessment and investigation of road seismic risks has become a key issue in improving urban road safety and earthquake disaster preparedness.

[0003] However, conventional seismic assessment methods typically rely on manual testing and empirical judgment, making it difficult to fully reflect the actual damage to roads under seismic loads. Furthermore, the impact of earthquakes on road structures is complex, involving multiple factors such as the roadbed structure, additional facilities, and material properties. Existing methods struggle to comprehensively account for these factors, resulting in inaccurate and in-time assessments of seismic hazards.

[0004] Currently, no effective solutions have been proposed for the problems in related technologies. Summary of the Invention

[0005] In view of this, the present invention provides a method, device and storage medium for checking earthquake-resistant hidden dangers in urban roads to solve the above-mentioned problems.

[0006] In order to solve the above problems, the specific technical solutions adopted by the present invention are as follows:

[0007] According to one aspect of the present invention, a method for checking earthquake-resistant hidden dangers in urban roads is provided, comprising the following steps:

[0008] S1. Obtaining road information of target city roads, and using a mathematical calculation model to calculate the basic state of the road's earthquake resistance and disaster bearing capacity, to obtain a first hidden danger calculation result;

[0009] S2. Obtaining earthquake disaster resistance data for target city roads, and calculating the earthquake disaster resistance of the road information using a road critical loss method and a finite element analysis method in the form of a regular polygon approximation, to obtain a second hidden danger calculation result;

[0010] S3. Based on the first hidden danger calculation results and the second hidden danger calculation results, comprehensively evaluate the road seismic hidden dangers and obtain the final hidden danger inspection results.

[0011] Preferably, the step of obtaining the road information of the target city road and calculating the basic state of the road's earthquake-resistant disaster-bearing capacity using a mathematical operation model to obtain the first hidden danger calculation result comprises the following steps:

[0012] S11. Obtaining road information of a target urban road based on pre-collected urban road survey results, wherein the road information includes: road foundation information, road overall seismic resistance information, road subgrade protection information, and road additional structure and facility information;

[0013] S12. Based on interval number theory, exponential operations are performed on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information to obtain a first index, a second index, a third index, and a fourth index;

[0014] S13. Calculate the first hidden danger calculation result by using a basic mathematical model based on the first index, the second index, the third index, and the fourth index.

[0015] Preferably, the step of performing exponential operations on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information based on interval number theory to obtain the first index, the second index, the third index, and the fourth index comprises the following steps:

[0016] S121, constructing a reciprocal judgment matrix of interval numbers between each indicator based on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure and facility information;

[0017] S122. Calculate the normalized interval number weight of each indicator using a nonlinear programming model based on the interval number reciprocal judgment matrix between the indicators;

[0018] S123. Calculate the weight vector of the number of combined intervals of each indicator based on the hierarchical affiliation of each indicator;

[0019] S124. Calculate the probability of the size of the interval number based on the combined interval number weight vector of each indicator, and calculate the weight vector of each indicator based on the probability;

[0020] S125. Calculate the first index, second index, third index, and fourth index corresponding to the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information, respectively, based on the weight vector of each indicator.

[0021] Preferably, the step of obtaining the earthquake disaster bearing capacity data of the target city roads, and grading the calculation results of the earthquake disaster bearing capacity of the roads using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to obtain the second hidden danger calculation result comprises the following steps:

[0022] S21. Collect data on the seismic disaster resistance of target city roads, combine the road information of the target city roads, use the finite element analysis method in the form of regular polygon approximation to construct a finite element model of the road structure, and use the finite element model of the road structure to calculate the seismic disaster resistance of the road;

[0023] S22. Calculate the seismic disaster resistance capacity classification based on the road critical loss method and in combination with the seismic disaster resistance capacity results of the road;

[0024] S23. Obtain the second hidden danger calculation result based on the earthquake resistance and disaster bearing capacity classification.

[0025] Preferably, the step of comprehensively evaluating the road seismic hazards based on the first hazard calculation result and the second hazard calculation result and obtaining the final hazard investigation result comprises the following steps:

[0026] S31. Calculate the importance of the first hidden danger calculation result and the second hidden danger calculation result respectively based on actual project requirements and experience;

[0027] S32. Based on the importance calculation result, assign corresponding weights to the first hidden danger calculation result and the second hidden danger calculation result;

[0028] S33. Based on the weight distribution results, the comprehensive hidden danger index is calculated using the weighted average method, and combined with the pre-set seismic hidden danger level classification standards, the seismic hidden danger inspection results of the target urban roads are obtained.

[0029] According to another aspect of the present invention, a device for checking earthquake-resistant hidden dangers on urban roads is provided, comprising:

[0030] The first hidden danger analysis module is used to obtain road information of target city roads and calculate the basic state of the road's earthquake resistance and disaster bearing capacity using a mathematical operation model to obtain a first hidden danger calculation result;

[0031] The second hidden danger analysis module is used to obtain the seismic disaster resistance capacity data of the target city roads and classify the calculation results of the road seismic disaster resistance capacity using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to obtain the second hidden danger calculation results;

[0032] The seismic hazard assessment module is used to comprehensively assess the seismic hazards of the road based on the first hazard calculation results and the second hazard calculation results, and to obtain the final hazard investigation results.

[0033] According to another aspect of the present invention, a computer-readable storage medium is provided, which includes computer program instructions. When the computer program instructions are executed on a computer, the computer executes the above-mentioned urban road earthquake resistance hazard inspection method.

[0034] The beneficial effects of the present invention are:

[0035] 1. By comprehensively considering the earthquake resistance and disaster-bearing capacity of roads, the present invention can comprehensively evaluate the earthquake resistance hazards of roads in terms of earthquake disasters, avoiding the one-sidedness that may be caused by single-dimensional evaluation, so that the inspection results can cover possible earthquake resistance hazards more widely.

[0036] 2. The present invention uses a basic mathematical model to calculate based on the first index, the second index, the third index and the fourth index to obtain a first hidden danger calculation result, taking into account the relationship and influence between various indexes, and can more accurately reflect the overall seismic hidden danger status of the road, thereby improving the reliability and accuracy of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0038] Figure 1 This is a flow chart of a method for checking earthquake-resistant hidden dangers in urban roads according to an embodiment of the present invention;

[0039] Figure 2 The present invention is a block diagram of a device for checking earthquake-resistant hidden dangers in urban roads according to an embodiment of the present invention.

[0040] In the picture:

[0041] 1. First hidden danger analysis module; 2. Second hidden danger analysis module; 3. Seismic hidden danger assessment module. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the technical solutions in this application, the following will clearly and completely describe the technical solutions in the embodiments of this application in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0043] According to an embodiment of the present invention, a method, device and storage medium for checking earthquake-resistant hidden dangers in urban roads are provided.

[0044] The present invention will now be further described with reference to the accompanying drawings and specific embodiments. Figure 1 According to one embodiment of the present invention, a method for checking earthquake-resistant hidden dangers in urban roads is provided, comprising the following steps:

[0045] S1. Obtaining road information of target city roads, and using a mathematical calculation model to calculate the basic state of the road's earthquake resistance and disaster bearing capacity, to obtain a first hidden danger calculation result;

[0046] As a preferred embodiment, the step of obtaining the road information of the target city road and calculating the basic state of the road's earthquake-resistant disaster-bearing capacity using a mathematical operation model to obtain the first hidden danger calculation result includes the following steps:

[0047] S11. Obtaining road information of a target urban road based on pre-collected urban road survey results, wherein the road information includes: road foundation information, road overall seismic resistance information, road subgrade protection information, and road additional structure and facility information;

[0048] It should be noted that basic road information includes operating time information, design unit information, management unit information and maintenance unit information; overall road seismic information includes project site seismic fortification intensity information, regional geological structure and adverse geological information and the time of the most recent major or medium-sized repair or expansion; road subgrade protection information includes fill subgrade information above 8m, excavation slope information above 10m, and retaining wall information above 6m; road additional structure and facility information includes bridge and culvert information above 4m, tunnel information and interchange information.

[0049] S12. Based on interval number theory, exponential operations are performed on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information to obtain a first index, a second index, a third index, and a fourth index;

[0050] As a preferred embodiment, the exponential operation of the road basic information, the road overall seismic resistance information, the road subgrade protection information and the road additional structure facility information based on the interval number theory to obtain the first index, the second index, the third index and the fourth index includes the following steps:

[0051] S121, constructing a reciprocal judgment matrix of interval numbers between each indicator based on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure and facility information;

[0052] Specifically, for each indicator in each category of road information, first, it is necessary to determine the relative importance relationship between them through expert evaluation or relevant standards, and then construct the interval number reciprocal judgment matrix.

[0053] For example, among the four indicators of road basic information, namely operating time, design unit, management unit and maintenance unit, experts can judge their impact on the seismic hazards of the road based on experience, and use interval numbers to represent the relative importance ratio between any two indicators, thereby constructing a 4×4 interval number reciprocal judgment matrix.

[0054] S122. Calculate the normalized interval number weight of each indicator using a nonlinear programming model based on the interval number reciprocal judgment matrix between the indicators;

[0055] It should be noted that when calculating indicator weights, an objective function and constraints are constructed to ensure that the calculated weights meet the consistency requirements of the interval number reciprocal judgment matrix. The objective function is to minimize the difference between the judgment matrix and the consistency matrix, while the constraints ensure the non-negativity and normalization of the weights.

[0056] S123. Calculate the weight vector of the number of combined intervals of each indicator based on the hierarchical affiliation of each indicator;

[0057] It should be noted that hierarchical affiliation refers to the hierarchical structure between indicators in actual road information assessments. For example, overall road seismic resistance information can be divided into subcategories such as site conditions and geological structure, each of which has specific indicators. When calculating the combined interval weight vector, it is necessary to consider the weight transfer relationship between indicators at different levels. By multiplying the weight of a lower-level indicator by the weight of the higher-level indicator to which it belongs, and considering all possible hierarchical paths, the combined interval weight vector of each indicator relative to the entire assessment system is obtained.

[0058] S124. Calculate the probability of the size of the interval number based on the combined interval number weight vector of each indicator, and calculate the weight vector of each indicator based on the probability;

[0059] The likelihood of interval numbers is a metric used to compare the sizes of interval numbers. Since interval numbers are uncertain, directly comparing two interval numbers is difficult. The likelihood measures the relationship between them by calculating the degree to which one interval number is larger than another. Based on the combined interval weight vector for each indicator, the likelihood of their size is calculated. The indicators are then sorted by likelihood, and the weight vector for each indicator is calculated by comparing the interval numbers.

[0060] S125. Calculate the first index, second index, third index, and fourth index corresponding to the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information, respectively, based on the weight vector of each indicator.

[0061] Specifically, the calculation formulas for the first index, second index, third index and fourth index are:

[0062] P1=A×δ1+B×δ2+C×δ3+D×δ4;

[0063] P2=E×δ5+F×δ6+G×δ7;

[0064] P3=(h1+h2+h3) / 3×δ8;

[0065] P4=J×δ9+K×δ10+L×δ11;

[0066] where P1, P2, P3, and P4 represent the first, second, third, and fourth indices, respectively; A represents the operation time; B represents the design unit information; C represents the management unit information; D represents the maintenance unit information; E represents the seismic fortification intensity information of the project site; F represents the regional geological structure and adverse geological conditions; G represents the time of the most recent major or medium-sized repair or renovation and expansion; J represents the information on bridges and culverts larger than 4 m; K represents the tunnel information; L represents the interchange information; h1 represents the fill roadbed information larger than 8 m; h2 represents the excavation slope information larger than 10 m; and h3 represents the retaining wall information larger than 6 m. δ1, δ2, δ3, δ4, δ5, δ6, δ7, δ8, δ9, δ10, and δ11 represent the weight coefficients of the operation time, design unit information, management unit information, maintenance unit information, seismic fortification intensity information of the project site, regional geological structure and adverse geological conditions, time of the most recent major or medium-sized repair or renovation and expansion, bridges and culverts larger than 4 m, tunnel information, and interchange information, respectively.

[0067] In addition, it is necessary to clarify that A. Operational Time refers to the difference between the year the road was opened to traffic and the forecast year; B. When the design unit information cannot be ascertained, this indicator is scored as 100, otherwise it is scored as 0; C. When the management unit information cannot be ascertained, this indicator is scored as 100, otherwise it is scored as 0; D. When the maintenance unit information cannot be ascertained, this indicator is scored as 100, otherwise it is scored as 0; E. Project Site Seismic Fortification Intensity refers to the comparison between the seismic fortification intensity specified in the current code and the seismic fortification intensity during the design phase. The value of this item is selected, as detailed in Table 1; F. Regional Geological Structure and Adverse Geological Information: When the design unit information cannot be ascertained, this indicator is scored as 100, otherwise it is assigned the value of this indicator. G. The time of the most recent major or medium repair or renovation and expansion refers to the difference between the most recent major or medium repair or renovation and expansion and the forecast year. When the indicator cannot be ascertained, the operating time (A) is used for judgment. When the operating time is less than 5 years, the score of this indicator is 0; when the operating time is not less than 5 years, the indicator is assigned a value according to the operating time value.

[0068] Table 1 Seismic fortification intensity information values ​​of the project site

[0069]

[0070]

[0071] S13. Calculate the first hidden danger calculation result by using a basic mathematical model based on the first index, the second index, the third index, and the fourth index.

[0072] Specifically, using the basic mathematical model for calculation means summing the first index, the second index, the third index and the fourth index to obtain the first hidden danger calculation result.

[0073] Example 1: A main urban road in a certain area opened to traffic in 2010. The design, management, and maintenance units have verified that the seismic fortification intensity specified in current regulations and the design-phase seismic fortification intensity are both 8. The road has no adverse geological structures, and the date of its last major or medium-sized repair, renovation, or expansion cannot be determined. There are no roadbed protection projects along the road, nor are there any bridges, tunnels, or interchanges. The forecast year is 2024. Using a basic mathematical calculation model, the calculated first hazard score for this road is 0.21.

[0074] Example 2: A secondary urban road in a certain area opened to traffic in 2002. The design firm was unable to verify this, but both the management and maintenance units were able to verify it. The current regulations stipulate a seismic fortification intensity of 8, and the seismic fortification intensity during the design phase was 7. The road has no adverse geological structures and has not undergone any major or medium-sized repairs or expansions. There are two sections of excavated slopes over 10 meters high with masonry and plant protection along the road. There are no bridges, tunnels, or interchanges along the road. The forecast year is 2024. Using a basic mathematical calculation model, the calculated first hazard score for this road is 0.51.

[0075] S2. Obtaining data on the seismic disaster resistance capacity of target city roads, and using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to classify the calculation results of the road seismic disaster resistance capacity, thereby obtaining a second hidden danger calculation result;

[0076] As a preferred embodiment, the method of obtaining the earthquake disaster bearing capacity data of the target city roads and grading the calculation results of the earthquake disaster bearing capacity of the roads using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to obtain the second hidden danger calculation result includes the following steps:

[0077] S21. Collect data on the seismic disaster resistance of target city roads, combine the road information of the target city roads, use the finite element analysis method in the form of regular polygon approximation to construct a finite element model of the road structure, and use the finite element model of the road structure to calculate the seismic disaster resistance of the road;

[0078] S22. Calculate the seismic disaster resistance capacity classification based on the road critical loss method and in combination with the seismic disaster resistance capacity results of the road;

[0079] S23. Obtain the second hidden danger calculation result based on the earthquake resistance and disaster bearing capacity classification.

[0080] S3. Based on the first hidden danger calculation results and the second hidden danger calculation results, comprehensively evaluate the road seismic hidden dangers and obtain the final hidden danger inspection results.

[0081] As a preferred embodiment, the comprehensive assessment of road seismic hazards based on the first hidden danger calculation result and the second hidden danger calculation result, and obtaining the final hidden danger investigation result includes the following steps:

[0082] S31. Calculate the importance of the first hidden danger calculation result and the second hidden danger calculation result respectively based on actual project requirements and experience;

[0083] Specifically, a qualitative scoring method can be used to calculate the importance of the first hidden danger calculation result and the second hidden danger calculation result respectively. For example, the importance of the first hidden danger and the second hidden danger can be divided into three levels: high, medium and low, and assigned corresponding scores, such as 3 points for high, 2 points for medium and 1 point for low.

[0084] S32. Based on the importance calculation result, assign corresponding weights to the first hidden danger calculation result and the second hidden danger calculation result;

[0085] S33. Based on the weight distribution results, the comprehensive hidden danger index is calculated using the weighted average method, and combined with the pre-set seismic hidden danger level classification standards, the seismic hidden danger inspection results of the target urban roads are obtained.

[0086] Specifically, the first and second hazard calculation results are quantified. A weighted average is then used to calculate a comprehensive hazard index. This index is then compared with pre-defined seismic hazard classification standards to determine the seismic hazard level of the target urban road.

[0087] like Figure 2 According to another embodiment of the present invention, a device for checking earthquake-resistant hidden dangers in urban roads is provided, comprising:

[0088] The first hidden danger analysis module 1 is used to obtain road information of target city roads and calculate the basic state of the road's earthquake resistance and disaster bearing capacity using a mathematical operation model to obtain a first hidden danger calculation result;

[0089] The second hidden danger analysis module 2 is used to obtain the earthquake disaster resistance capacity data of the target city roads, and use the road critical loss method and the finite element analysis method in the form of regular polygon approximation to classify the calculation results of the road earthquake disaster resistance capacity to obtain the second hidden danger calculation results;

[0090] The seismic hazard assessment module 3 is used to comprehensively assess the seismic hazard of the road based on the first hazard calculation result and the second hazard calculation result, and to obtain the final hazard investigation result.

[0091] According to another embodiment of the present invention, a computer-readable storage medium is provided, which includes computer program instructions. When the computer program instructions are executed on a computer, the computer executes the above-mentioned urban road earthquake resistance hazard inspection method.

[0092] In summary, by utilizing the above-mentioned technical solutions of the present invention, the present invention comprehensively assesses the seismic hazard status of roads in terms of earthquake disasters by comprehensively considering the seismic disaster-bearing capacity of roads, avoiding the one-sidedness that may result from a single-dimensional assessment and enabling the screening results to more broadly cover potential seismic hazards. The present invention utilizes a basic mathematical model to calculate the first hazard calculation result based on the first, second, third, and fourth indices. This calculation considers the interrelationships and influences between the various indices, more accurately reflecting the overall seismic hazard status of the road and improving the reliability and accuracy of the assessment results.

[0093] Those skilled in the art will appreciate that embodiments of the present invention may provide methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, optical storage, etc.) containing computer-usable program code.

[0094] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for checking earthquake-resistant hidden dangers on urban roads, characterized in that: The following steps are involved: S1. Obtaining road information of target city roads, and using a mathematical calculation model to calculate the basic state of the road's earthquake resistance and disaster bearing capacity, to obtain a first hidden danger calculation result; S2. Obtaining data on the seismic disaster resistance capacity of target city roads, and using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to classify the calculation results of the road seismic disaster resistance capacity, thereby obtaining a second hidden danger calculation result; S3. Based on the first hidden danger calculation results and the second hidden danger calculation results, comprehensively evaluate the road seismic hidden dangers and obtain the final hidden danger inspection results.

2. A method for checking earthquake-resistant hidden dangers in urban roads according to claim 1, characterized in that: The step of obtaining the road information of the target city road and calculating the basic state of the road's earthquake resistance and disaster bearing capacity using a mathematical operation model to obtain the first hidden danger calculation result comprises the following steps: S11. Obtaining road information of a target urban road based on pre-collected urban road survey results, wherein the road information includes: road foundation information, road overall seismic resistance information, road subgrade protection information, and road additional structure and facility information; S12. Based on interval number theory, exponential operations are performed on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information to obtain a first index, a second index, a third index, and a fourth index; S13. Calculate the first hidden danger calculation result by using a basic mathematical model based on the first index, the second index, the third index, and the fourth index.

3. A method for checking earthquake-resistant hidden dangers in urban roads according to claim 2, characterized in that: The method of performing index calculations on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information based on interval number theory to obtain the first index, the second index, the third index, and the fourth index comprises the following steps: S121, constructing a reciprocal judgment matrix of interval numbers between each indicator based on the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure and facility information; S122. Calculate the normalized interval number weight of each indicator using a nonlinear programming model based on the interval number reciprocal judgment matrix between the indicators; S123. Calculate the weight vector of the number of combined intervals of each indicator based on the hierarchical affiliation of each indicator; S124. Calculate the probability of the size of the interval number based on the combined interval number weight vector of each indicator, and calculate the weight vector of each indicator based on the probability; S125. Calculate the first index, second index, third index, and fourth index corresponding to the road basic information, the road overall seismic resistance information, the road subgrade protection information, and the road additional structure facility information, respectively, based on the weight vector of each indicator.

4. The method for checking earthquake-resistant hidden dangers of urban roads according to claim 1, characterized in that: The step of obtaining the earthquake disaster resistance capacity data of the target city roads and grading the calculation results of the earthquake disaster resistance capacity of the roads using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to obtain the second hidden danger calculation result comprises the following steps: S21. Collect data on the seismic disaster resistance of target city roads, combine the road information of the target city roads, use the finite element analysis method in the form of regular polygon approximation to construct a finite element model of the road structure, and use the finite element model of the road structure to calculate the seismic disaster resistance of the road; S22. Calculate the seismic disaster resistance capacity classification based on the road critical loss method and in combination with the seismic disaster resistance capacity results of the road; S23. Obtain the second hidden danger calculation result based on the earthquake resistance and disaster bearing capacity classification.

5. The method for checking earthquake-resistant hidden dangers of urban roads according to claim 1, characterized in that: The method of comprehensively evaluating the road seismic hazard based on the first hazard calculation result and the second hazard calculation result and obtaining the final hazard investigation result includes the following steps: S31. Calculate the importance of the first hidden danger calculation result and the second hidden danger calculation result respectively based on actual project requirements and experience; S32. Based on the importance calculation result, assign corresponding weights to the first hidden danger calculation result and the second hidden danger calculation result; S33. Based on the weight distribution results, the comprehensive hidden danger index is calculated using the weighted average method, and combined with the pre-set seismic hidden danger level classification standards, the seismic hidden danger inspection results of the target urban roads are obtained.

6. A device for checking earthquake-resistant hidden dangers on urban roads, used to implement the method for checking earthquake-resistant hidden dangers on urban roads according to any one of claims 1 to 5, characterized in that: include: The first hidden danger analysis module is used to obtain road information of target city roads and calculate the basic state of the road's earthquake resistance and disaster bearing capacity using a mathematical operation model to obtain a first hidden danger calculation result; The second hidden danger analysis module is used to obtain the seismic disaster resistance capacity data of the target city roads and classify the calculation results of the road seismic disaster resistance capacity using the road critical loss method and the finite element analysis method in the form of regular polygon approximation to obtain the second hidden danger calculation results; The seismic hazard assessment module is used to comprehensively assess the seismic hazards of the road based on the first hazard calculation results and the second hazard calculation results, and to obtain the final hazard investigation results.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium includes computer program instructions, and when the computer program instructions are executed on a computer, the computer is caused to execute the urban road earthquake resistance hidden danger inspection method according to any one of claims 1 to 5.

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