Safety Assessment Method and System for Separate Overpass

Abstract

The present invention discloses a safety assessment method and system for a separated overpass, which relates to the field of data processing technology. The method includes: when a first assessment cycle is met, obtaining an overpass construction BIM model; obtaining geological feature information of the overpass load-bearing foundation area; obtaining a foundation load-bearing verification result; when the foundation load-bearing verification result passes, obtaining overpass structural information; performing multi-level load-bearing verification based on the overpass structural information, and obtaining an overpass load-bearing verification result; when the overpass load-bearing verification result passes, generating an overpass safety verification pass mark; when the foundation load-bearing verification result or the overpass load-bearing verification result fails, generating an overpass safety verification failure mark. The present invention solves the technical problem that the prior art lacks a comprehensive and detailed safety assessment of the overpass from the two dimensions of structure and foundation, and the reliability of the assessment results is low, thereby achieving the technical effect of improving the accuracy of overpass safety assessment and improving the assessment quality.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a safety assessment method and system for a separated overpass. Background Art

[0002] To strengthen overpass safety management and identify risks early, safety assessments are necessary. Currently, this approach primarily analyzes the overall structure and load-bearing conditions of overpasses. While efficient, this approach neglects the inherent safety of many structures, resulting in unreliable safety analysis results. Existing technologies lack comprehensive and detailed safety assessments of overpasses from both structural and foundational perspectives, leading to low reliability. Summary of the Invention

[0003] The present application provides a safety assessment method and system for a separated overpass, which is used to solve the technical problems that the existing technology lacks a comprehensive and detailed safety assessment of the overpass from the two dimensions of structure and foundation, and the reliability of the assessment results is low.

[0004] In view of the above problems, the present application provides a safety assessment method and system for a separated overpass.

[0005] In a first aspect of the present application, a safety assessment method for a separated overpass is provided, the method comprising:

[0006] When the first evaluation period is met, obtaining a BIM model of the overpass construction, wherein the BIM model of the overpass construction includes column base distribution characteristics;

[0007] Determine the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtain geological characteristic information of the load-bearing foundation area of the overpass;

[0008] Perform load-bearing verification based on the geological characteristic information to obtain foundation load-bearing verification results;

[0009] When the foundation load-bearing verification result passes, obtaining the overpass structure information according to the overpass construction BIM model;

[0010] Perform multi-level load-bearing verification according to the overpass structure information to obtain the overpass load-bearing verification result;

[0011] When the overpass load-bearing verification result is passed, an overpass safety verification pass mark is generated;

[0012] When the foundation load-bearing verification result or the overpass load-bearing verification result fails, an overpass safety verification failure flag is generated.

[0013] A second aspect of the present application provides a safety assessment system for a separated overpass, the system comprising:

[0014] A model acquisition module, wherein the model acquisition module is used to acquire a BIM model of the overpass construction when a first evaluation period is satisfied, wherein the BIM model of the overpass construction includes column base distribution characteristics;

[0015] A feature information acquisition module, the feature information acquisition module is used to determine the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtain geological feature information of the load-bearing foundation area of the overpass;

[0016] A load-bearing verification result obtaining module is used to perform load-bearing verification according to the geological characteristic information and obtain a foundation load-bearing verification result;

[0017] A structural information acquisition module, wherein the structural information acquisition module is used to obtain structural information of the overpass according to the overpass construction BIM model when the foundation load-bearing verification result passes;

[0018] A verification result obtaining module, the verification result obtaining module is used to perform multi-level load-bearing verification according to the overpass structure information and obtain the overpass load-bearing verification result;

[0019] A pass mark generation module, the pass mark generation module is used to generate an overpass safety check pass mark when the overpass load-bearing check result is passed;

[0020] The failed mark generation module is used to generate an overpass safety check failed mark when the foundation load-bearing check result or the overpass load-bearing check result fails.

[0021] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0022] When the first assessment cycle is met, the overpass construction BIM model is obtained, wherein the overpass construction BIM model includes column base distribution characteristics; based on the column base distribution characteristics, the overpass load-bearing foundation area is determined, and geological characteristic information of the overpass load-bearing foundation area is obtained; a load-bearing verification is performed based on the geological characteristic information, and the foundation load-bearing verification result is obtained; if the foundation load-bearing verification result passes, the overpass structure information is obtained based on the overpass construction BIM model; a multi-level load-bearing verification is performed based on the overpass structure information, and the overpass load-bearing verification result is obtained; if the overpass load-bearing verification result passes, a pass mark for the overpass safety verification is generated; if the foundation load-bearing verification result or the overpass load-bearing verification result fails, a fail mark for the overpass safety verification is generated. This achieves the technical effect of improving the refinement of overpass safety assessments and enhancing the reliability of assessments. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces 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 these drawings without creative work.

[0024] Figure 1 A schematic flow chart of a safety assessment method for a separated overpass provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of a process for obtaining information on the load-bearing foundation area and geological characteristics of a separated overpass in a safety assessment method for a separated overpass provided in an embodiment of the present application;

[0026] Figure 3 A schematic diagram of a flow chart for obtaining foundation load-bearing verification results in a safety assessment method for a separated overpass provided in an embodiment of the present application;

[0027] Figure 4 A schematic diagram of the structure of a safety assessment system for a separated overpass provided in an embodiment of the present application.

[0028] Explanation of the accompanying symbols: model acquisition module 11, characteristic information acquisition module 12, load-bearing verification result acquisition module 13, structural information acquisition module 14, verification result acquisition module 15, pass mark generation module 16, fail mark generation module 17. DETAILED DESCRIPTION

[0029] This application provides a safety assessment method and system for a separated overpass, which is used to solve the technical problems that the existing technology lacks a comprehensive and detailed safety assessment of the overpass from the two dimensions of structure and foundation, and the reliability of the assessment results is low.

[0030] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0031] It should be noted that the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or are inherent to these processes, methods, products or devices.

[0032] Example 1

[0033] like Figure 1 As shown, the present application provides a safety assessment method for a separated overpass, which includes:

[0034] Step S100: When the first evaluation period is met, obtaining a BIM model of the overpass construction, wherein the BIM model of the overpass construction includes column base distribution features;

[0035] In one possible embodiment, during the safety assessment of a separated overpass, to ensure the load-bearing stability of the overpass, the separated overpass is regularly assessed according to an assessment cycle. The assessment cycle is the interval between two assessments of the separated overpass, and can be half a month, a month, or the like. The first assessment cycle is the time period required for the first assessment. For example, when the assessment cycle is half a month, the overpass safety assessment is conducted half a month after any phase of overpass construction begins, that is, after the first assessment cycle has been met. A BIM model of the overpass construction at the current moment is obtained, wherein the BIM model includes column base distribution features. The column base distribution features are used to describe the distribution of the column bases of the separated overpass within the building area, including the number of column bases, column base distribution locations, and the environment in which the column bases are located at each installation point. By obtaining the BIM model of the overpass construction, the column base distribution features are extracted to provide basic analytical data for subsequent safety assessments.

[0036] Step S200: determining the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtaining geological characteristic information of the load-bearing foundation area of the overpass;

[0037] Further, such as Figure 2 As shown, according to the column base distribution characteristics, the load-bearing foundation area of the overpass is determined, and the geological characteristic information of the load-bearing foundation area of the overpass is obtained. In this embodiment of the application, step S200 further includes:

[0038] Step S210: extracting the peripheral column base distribution positions and connecting them according to the column base distribution characteristics to obtain the column base distribution area;

[0039] Step S220: performing multi-point geological detection on the column base distribution area to obtain geological feature detection results;

[0040] Step S230: partitioning the column base distribution area according to the geological feature detection result to obtain column base distribution partitioning results;

[0041] Step S240: traversing the column base distribution features to extract column base distribution positions and obtain the foundation bearing foundation area;

[0042] Step S250: performing edge diffusion on the foundation load-bearing foundation area according to the column base distribution zoning result to obtain the overpass load-bearing foundation area and the geological feature information.

[0043] In one embodiment of the present application, based on the information reflected in the column base distribution characteristics, the area where the overpass's load-bearing foundation is located is determined as a key analysis area. Furthermore, the geological characteristic information of the overpass's load-bearing foundation area is analyzed, thereby conducting a refined regional analysis of the overpass's load-bearing capacity and improving the reliability of the safety assessment. The geological characteristic information is used to describe the geological conditions and stratigraphic conditions of the overpass's load-bearing area, providing analytical data for subsequent analysis of the load that the foundation area's geology can bear.

[0044] In one embodiment, the column base position of each column base in the separated overpass is extracted from the column base distribution characteristics, the column base positions located at the periphery in the extraction results are screened, and the columns are connected according to the peripheral column base distribution positions in the screening results, thereby obtaining the column base distribution area. The column base distribution area is the maximum range of the column base distribution of the separated overpass. Furthermore, by performing geological detection on multiple points within the column base distribution area, preferably, the groundwater level, soil porosity, soil hardness, soil water content, geological fluidity, etc. of the multiple points are detected, and the detection results are added to the geological feature detection results, thereby obtaining the geological conditions of the bearing column bases in the column base distribution area.

[0045] In one possible embodiment, after obtaining the geological feature detection results, the column base distribution area is partitioned according to the deviation of the geological feature detection results at different points, thereby merging areas with similar geological feature detection results, reducing the dimensionality of areas that need to be analyzed, improving analysis efficiency, and obtaining the column base distribution partition results. The column base distribution partition results reflect the distribution of column bases in each area after the column base distribution area is partitioned based on the degree of similarity of geological features. Using the load-bearing column base as an index, the position of the column base with a load-bearing function is extracted from the column base distribution characteristics, that is, the column base distribution position is extracted, and the area defined by connecting the outermost column bases of the column base distribution position is determined as the basic load-bearing foundation area. Then, according to the column base distribution partition results, the edge diffusion of the basic load-bearing foundation area is performed. That is, according to the column base distribution partition results, the area outside the basic load-bearing foundation area that still needs to bear load is determined in actual circumstances, thereby obtaining the load-bearing foundation area of the overpass and the geological feature information.

[0046] Furthermore, the column base distribution area is partitioned according to the geological feature detection result to obtain the column base distribution partition result. In the embodiment of the present application, step S230 further includes:

[0047] Step S231: acquiring a first-position geological feature detection result and a second-position geological feature detection result of a first geological attribute according to the geological feature detection result, wherein the first position is a detection position of a first window, the second position is a detection position of a second window, and the first window and the second window are adjacent windows;

[0048] Step S232: When the detection result deviation of the geological feature detection result at the first position and the geological feature detection result at the second position is less than or equal to a first geological attribute deviation threshold, the first window and the second window are merged into the same area;

[0049] Step S233: Repeat clustering to obtain the first geological attribute partition result, the second geological attribute partition result, and so on until the Nth geological attribute partition result;

[0050] Step S234: intersecting the first geological attribute partitioning result, the second geological attribute partitioning result, and the Nth geological attribute partitioning result to obtain the column base distribution partitioning result.

[0051] Specifically, the detection results of the first geological attribute at the first position and the second position are determined based on the geological feature detection results, that is, the geological feature detection results at the first position and the feature detection results at the second position. The first geological attribute is an attribute that distinguishes a geological feature from other geological features when describing it, such as soil properties, groundwater properties, etc. The first position is the detection position of the first window, the second position is the detection position of the second window, the first window and the second window are adjacent windows, the first window is the first point for geological detection, and the second window is the second point connected to the first window.

[0052] Specifically, the geological feature detection results of the first location and the geological feature detection results of the second location are compared and analyzed to determine the deviation of the detection results. When the deviation of the detection results is less than or equal to the first geological attribute deviation threshold, it indicates that the first geological attributes corresponding to the first location and the second location are consistent. Therefore, the first window and the second window are merged. Preferably, when the deviation of the detection results is greater than the first geological attribute deviation threshold, it indicates that the first geological attributes corresponding to the first location and the second location are inconsistent. Therefore, the first location and the second location are divided into two areas. Then, the column base distribution area is partitioned multiple times according to different geological attributes to obtain the first geological attribute partitioning result, the second geological attribute partitioning result, and so on to the Nth geological attribute partitioning result.

[0053] Specifically, after obtaining the first geological attribute partitioning result, the second geological attribute partitioning result, and so on, up to the Nth geological attribute partitioning result, the division boundaries of the multiple partitioning results are intersected, and the intersection result is used as the column base distribution partitioning result. Exemplarily, the column base distribution area is divided into three areas according to soil properties to obtain soil attribute partitioning results; the column base distribution area is divided into five areas according to groundwater properties to obtain groundwater attribute partitioning results. The regional division boundaries in the soil attribute partitioning results and the groundwater attribute partitioning results are intersected. If one of the regional division boundaries overlaps, the overlapping division boundaries are merged, and the intersection is obtained to obtain the column base distribution partitioning result. In this case, the column base partitioning result includes both soil attributes and groundwater attributes.

[0054] Furthermore, edge diffusion is performed on the foundation load-bearing foundation area according to the column base distribution zoning result to obtain the overpass load-bearing foundation area and the geological feature information. In this embodiment of the application, step S250 further includes:

[0055] Step S251: obtaining the geological feature detection result of the load-bearing foundation area according to the column base distribution zoning result, and setting it as the geological feature information;

[0056] Step S252: when the foundation load-bearing area includes multiple partitions, obtaining the partition contact area ratio, and setting the geological feature detection result of the partition whose partition contact area ratio is greater than or equal to a first area ratio threshold as the geological feature information;

[0057] Step S253: when the number of partitions whose contact area ratio is greater than or equal to the first area ratio threshold is zero, sorting the multiple partitions by geological bearing capacity according to the geological feature detection result, and obtaining the contact area ratio of the partition with the worst bearing capacity;

[0058] Step S254: If the contact area ratio of the partition with the worst bearing capacity is greater than or equal to the second area ratio threshold, and the partition with the worst bearing capacity is distributed at the edge of the foundation bearing area, the geological feature detection result corresponding to the partition with the worst bearing capacity is set as the geological feature information;

[0059] Step S255: Otherwise, the average of the geological feature detection results corresponding to the k partitions whose partition contact area ratios are closest to the first area ratio threshold is set as the geological feature information, where k is an integer greater than or equal to 2;

[0060] Step S256: performing collapse accident retrieval based on the geological feature information and the foundation bearing area of the foundation bearing ground region to obtain a record value of the collapse accident diffusion range;

[0061] Step S257: performing a centralized value evaluation on the recorded values of the diffusion range of the collapse accident to obtain the diffusion identification range of the collapse accident, performing edge diffusion on the foundation bearing foundation area to obtain the load-bearing foundation area of the overpass.

[0062] In one possible embodiment, each area of the column base distribution zoning results has multiple geological attribute characteristics. The distribution position of the foundation load-bearing foundation area is matched with the column base distribution zoning results. The geological characteristic monitoring results are obtained based on the matching results and set as the geological characteristic information. Furthermore, when the foundation load-bearing foundation area includes multiple zones, that is, at least two column base distribution zones within the foundation load-bearing foundation area, the geological characteristic information of the foundation load-bearing foundation area cannot be directly obtained. It is necessary to calculate the ratio of the contact area of the multiple zones to the foundation load-bearing foundation area to the total area of the foundation load-bearing foundation area, and obtain the zone contact area ratio based on the calculation result. The zone contact area ratio is compared with a first area ratio threshold (the minimum area ratio of the main zone to the foundation load-bearing foundation area, set by those skilled in the art). The geological characteristic detection results of the zones whose zone contact area ratios are greater than or equal to the first area ratio threshold are set as the geological characteristic information.

[0063] Specifically, when the number of partitions whose contact area ratio of the partition is greater than or equal to the first area ratio threshold is zero, it indicates that there are too many partitions at this time, and the geological conditions of the foundation load-bearing foundation area are relatively complex. The geological characteristic detection result of a certain partition cannot represent the geological characteristics of the foundation load-bearing foundation area. At this time, the geological bearing capacity of multiple partitions is sorted according to the geological characteristic detection results, and the contact area ratio of the partition with the worst bearing capacity is obtained. In other words, by analyzing the geological bearing capacity of the partitions and combining the ratio of the contact area of the partition with the worst bearing capacity to the total area of the foundation load-bearing foundation area, it is determined whether the geological characteristic detection result of the worst bearing capacity area in the foundation load-bearing foundation area can be used as geological characteristic information.

[0064] Specifically, when the contact area ratio of the partition with the worst bearing capacity is greater than or equal to a second area ratio threshold (the minimum area ratio corresponding to the geological characteristics of the partition with the worst bearing capacity, set by those skilled in the art, and representing the geological characteristics of the foundation's load-bearing subgrade), and the partition with the worst bearing capacity is located at the edge of the foundation's load-bearing subgrade, the geological characteristic detection result corresponding to the partition with the worst bearing capacity is set as the geological characteristic information. This achieves the goal of conducting a refined analysis of the geology of the foundation's load-bearing subgrade and improving the reliability of the geological characteristics. If not, the average of the geological characteristic detection results corresponding to the k partitions whose partition contact area ratios are closest to the first area ratio threshold is set as the geological characteristic information, where k is an integer greater than or equal to 2.

[0065] Specifically, after obtaining the geological characteristic information of the foundation load-bearing area, the foundation load-bearing area of the foundation load-bearing area is combined with the foundation load-bearing area to search in the collapse accident database to obtain collapse accidents that meet both the geological characteristic information and the foundation load-bearing area, and the regional range of the retrieved collapse accidents is recorded to obtain the collapse accident spread range record value. For example, the collapse accident spread range record value is the distance the collapse spreads to the ground in the surrounding area after the foundation collapse accident occurs, which can be 3 meters, 5 meters, etc.

[0066] Specifically, the average of the collapse accident diffusion range record values is calculated to obtain the collapse accident range record average, and each collapse accident diffusion range record value is subtracted from the collapse accident range record average to obtain a record deviation difference set. The record deviation difference sets that are greater than a record deviation difference threshold set by those skilled in the art are filtered out, and the collapse accident diffusion identification range is obtained based on the maximum and minimum values of the remaining collapse accident diffusion range record values. Based on the diffusion distance in the collapse accident diffusion identification range, the foundation load-bearing foundation area is edge diffused, that is, the overpass load-bearing foundation area is formed by adding the diffusion distance to the boundary of the foundation load-bearing foundation area.

[0067] Step S300: performing load-bearing verification according to the geological characteristic information to obtain foundation load-bearing verification results;

[0068] Further, such as Figure 3 As shown, load-bearing verification is performed based on the geological feature information to obtain foundation load-bearing verification results. Step S300 of the embodiment of the present application further includes:

[0069] Step S310: obtaining the maximum load and fixed characteristics of the overpass, performing load distribution based on the overpass construction BIM model, and obtaining the maximum load calibration result of the overpass bearing foundation area;

[0070] Step S320: Inputting the geological feature information and the load-bearing area of the overpass load-bearing foundation region into a maximum load prediction model to obtain a maximum load prediction result;

[0071] Step S330: When the maximum load prediction result is less than or equal to the maximum load calibration result, a foundation load bearing verification failure signal is generated;

[0072] Step S340: When the maximum load prediction result is greater than the maximum load calibration result, a foundation load-bearing verification pass signal is generated;

[0073] Step S350: adding the foundation load-bearing verification failure signal or the foundation load-bearing verification pass signal to the foundation load-bearing verification result.

[0074] In one embodiment, after obtaining the geological characteristic information, a load-bearing prediction is performed based on the geological conditions of the overpass's load-bearing foundation area. The prediction result is compared with the calibration result based on the overpass's designed maximum load capacity, thereby achieving the goal of load-bearing verification of the overpass's load-bearing foundation area. After the load-bearing verification, a foundation load-bearing verification result is obtained, wherein the foundation load-bearing verification result reflects the safety level of the overpass's foundation.

[0075] Specifically, by acquiring the design information of the overpass, the maximum load of the overpass and the fixed characteristics of the overpass are obtained. The maximum load of the overpass is the maximum load that the separated overpass can bear according to the design. The fixed characteristics of the overpass are the structural characteristics set by the overpass. The overpass construction BIM model is used to perform load distribution analysis to determine the maximum load calibration result that the overpass load-bearing foundation area can bear when the separated overpass is in operation. The maximum load calibration result reflects the load-bearing capacity of the load-bearing foundation area. The geological feature information and the load-bearing area of the overpass load-bearing foundation area are input into the maximum load prediction model to obtain the maximum load prediction result. The maximum load prediction model is a functional model used to predict the maximum load-bearing capacity of the load-bearing foundation area in combination with the regional geological conditions.

[0076] Specifically, by obtaining multiple sample geological feature information, multiple sample overpass bearing foundation area bearing areas and multiple sample maximum load results as training data, the training data is used to supervise the training of the framework constructed based on the BP neural network until the output reaches convergence, and the maximum load prediction model that has been trained is obtained.

[0077] Specifically, when the maximum load prediction result is less than or equal to the maximum load calibration result, it indicates that the maximum bearing capacity of the foundation after combining the geological conditions analysis is lower than the maximum bearing capacity of the foundation that needs to be met during the overpass design, and a foundation load verification failure signal is generated. When the maximum load prediction result is greater than the maximum load calibration result, a foundation load verification pass signal is generated, indicating that the maximum bearing capacity of the foundation after combining the geological conditions analysis is higher than the maximum bearing capacity of the foundation that needs to be met during the overpass design, and a foundation load verification pass signal is generated. Furthermore, the foundation load verification failure signal or the foundation load verification pass signal is added to the foundation load verification result.

[0078] Step S400: When the foundation load-bearing verification result passes, obtaining the overpass structure information according to the overpass construction BIM model;

[0079] Step S500: performing a multi-level load-bearing verification according to the overpass structure information to obtain the overpass load-bearing verification result;

[0080] Furthermore, a multi-level load-bearing verification is performed based on the overpass structure information to obtain the overpass load-bearing verification result. In the embodiment of the present application, step S500 further includes:

[0081] Step S510: Split the overpass structure information from bottom to top to obtain column base feature information, bridge deck feature information, lower column feature information, middle column feature information, upper column feature information, and cable feature information;

[0082] Step S520: performing load distribution based on the overpass construction BIM model to obtain the expected load of the column base, the expected load of the bridge deck, the expected load of the lower column, the expected load of the middle column, the expected load of the upper column, and the expected load of the cable;

[0083] Step S530: traversing the column base characteristic information, the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to perform a multi-level load-bearing univariate analysis to obtain the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable;

[0084] Step S540: Based on the expected column base load, the expected bridge deck load, the expected lower column load, the expected middle column load, the expected upper column load, and the expected cable load, the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable are verified:

[0085] Step S550: When all the checks are passed, an overpass load-bearing check pass signal is generated; when any one of the checks fails, an overpass load-bearing check fail signal is generated.

[0086] In one possible embodiment, when the foundation load-bearing verification result passes, indicating that the foundation can now bear the maximum designed load, the overpass structural information is then obtained based on the overpass construction BIM model. This overpass structural information describes the overpass's structural components, including its components (overpass, ramps, overpass approaches, and underpass ramps), structural location, and so on. Furthermore, a multi-level load-bearing verification is performed based on the obtained overpass structural information to determine whether the overpass structure meets the load-bearing requirements.

[0087] Specifically, by splitting the overpass structure information from bottom to top, the column base feature information, bridge deck feature information, lower column feature information, middle column feature information, upper column feature information and cable feature information are obtained in sequence. The column base feature information is used to describe the structure of the column base, including the column base material strength, column base surface hardness, etc. The bridge deck feature information is used to describe the bridge deck structure information of the overpass, including the bridge deck flatness, bridge deck thickness, etc. The lower column feature information is used to describe the lower column structure of the overpass, including the lower column material properties, lower column distribution position, etc. The middle column feature information is used to describe the middle column structure of the overpass, including the middle column material properties, middle column distribution position, etc. The upper column feature information is used to describe the upper column structure of the overpass, including the upper column material properties, upper column distribution position, etc. The cable feature information is used to describe the material, length, hardness and other characteristics of the cables used in the separated overpass.

[0088] In one embodiment, by performing load distribution on the overpass construction BIM model, the expected load of the column base, the expected load of the bridge deck, the expected load of the lower column, the expected load of the middle column, the expected load of the upper column, and the expected load of the cable are obtained. Furthermore, a multi-level load-bearing univariate analysis is performed on the characteristic information of the column base, the bridge deck, the characteristic information of the lower column, the characteristic information of the middle column, the characteristic information of the upper column, and the characteristic information of the cable, respectively. That is, when other variables remain unchanged, only the load is increased step by step to determine the maximum weight that each structure can bear, provided that the characteristic information of the column base, the characteristic information of the bridge deck, the characteristic information of the lower column, the characteristic information of the middle column, the characteristic information of the upper column, and the characteristic information of the cable are satisfied, thereby obtaining the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable.

[0089] Specifically, a determination is made as to whether the expected column base load is less than the predicted maximum column base load. If so, indicating that the column base load is within the tolerance range, the verification passes; otherwise, the verification fails. Furthermore, based on the expected bridge deck load, the expected lower column load, the expected middle column load, the expected upper column load, and the expected cable load, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable are verified in the same manner. If all verifications fail, a pass signal for the overpass load verification is generated. If any one verification fails, a fail signal for the overpass load verification is generated.

[0090] Furthermore, the column base characteristic information, the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information are traversed to perform a multi-level load-bearing univariate analysis to obtain the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable. In this embodiment of the application, step S530 further includes:

[0091] Step S531: Acquire column base structural features and column base material features according to the column base feature information;

[0092] Step S532: setting the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to preset characteristic values, wherein the preset characteristic values are characteristic values that meet the expected load;

[0093] Step S533: Based on the preset characteristic value and the overpass structure information as fixed parameters, and the column base structure characteristics and the column base material characteristics as variable parameters, load-bearing test record data is collected;

[0094] Step S534: performing cluster analysis on the load-bearing detection record data according to the column base structural characteristics to obtain a first clustering result of the record data;

[0095] Step S535: performing cluster analysis on the first clustering result of the recorded data according to the pillar base material characteristics to obtain a second clustering result of the recorded data;

[0096] Step S536: obtaining the minimum load-bearing value of the second clustering result of the recorded data to which the column base structural characteristics and the column base material characteristics belong, and setting it as the predicted maximum load of the column base;

[0097] Step S537: Traverse the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information and the cable characteristic information to perform multi-level load-bearing univariate analysis to obtain the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column and the predicted maximum load of the cable.

[0098] In one embodiment, the column base structural features and column base material features are extracted based on the column base feature information, and then the bridge deck feature information, the lower column feature information, the middle column feature information, the upper column feature information and the cable feature information are set to preset feature values, wherein the preset feature values are feature values that meet the expected load. In other words, at this time, only the column base structural features and the column base material features are used as variables for load analysis, and the feature information in the preset feature values are all at feature values that meet the expected load. Furthermore, by changing the parameter values of the column base structural features and the column base material features, the load-bearing detection record data is collected. The load-bearing detection record data is used to collect data generated during the load detection process, including the load capacity.

[0099] Specifically, the load-bearing detection record data is clustered and analyzed with the column base structural features as the index. The similarity of the column base structural features in the load-bearing detection record data is compared to obtain multiple similarities. The greater the similarity, the more similar the corresponding column base structural features are. The load-bearing detection records corresponding to multiple similarities greater than the preset similarity threshold are clustered and analyzed, and the load-bearing detection records corresponding to multiple similarities less than the predicted similarity threshold are classified into one category, thereby obtaining the first clustering result of the record data. Based on the same method, the column base material features are used as the index to perform cluster analysis on the first clustering result of the record data, and clustering is performed again on the basis of the first clustering result of the record data, thereby obtaining the second clustering result of the record data. Among them, the column base structural features and the column base material features in each cluster cluster in the second clustering result of the record data are approximately consistent.

[0100] Specifically, the minimum load-bearing value of the second clustering result of the recorded data to which the column base structural characteristics and the column base material characteristics belong is obtained and set as the predicted maximum load of the column base. In other words, the minimum load-bearing value in the clustering result is used as the maximum load that the column base can bear, thereby ensuring data reliability. Based on the same method, a multi-level load-bearing univariate analysis is performed on the bridge deck feature information, the lower column feature information, the middle column feature information, the upper column feature information, and the cable feature information to obtain the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable.

[0101] Step S600: When the overpass load-bearing verification result is passed, an overpass safety verification pass flag is generated;

[0102] Step S700: When the foundation load-bearing verification result or the overpass load-bearing verification result fails, an overpass safety verification failure flag is generated.

[0103] Specifically, when the overpass load-bearing verification result passes, an overpass safety verification pass flag is obtained, which indicates that the safety assessment of the separated overpass has passed. When the foundation load-bearing verification result fails, or the overpass load-bearing verification result fails, or when both the foundation load-bearing verification result and the overpass load-bearing verification result fail, an overpass safety verification failure flag is generated, which indicates that the safety assessment of the separated overpass has failed.

[0104] In summary, the embodiments of the present application have at least the following technical effects:

[0105] This application collects the distribution of the column bases of the overpass, and then analyzes the geological characteristics of the area in combination with the location of the load-bearing foundation area, using this information as the basic data for foundation load-bearing verification analysis. By performing load-bearing verification, the goal of verifying the load-bearing capacity of the overpass's load-bearing foundation is achieved. After the foundation load-bearing verification result passes, a multi-level load-bearing verification is performed on the structure of the overpass to determine the load-bearing capacity of the overpass. When the overpass load-bearing verification result passes, an overpass safety verification pass mark is generated. When the foundation load-bearing verification result or the overpass load-bearing verification result fails, an overpass safety verification failure mark is generated. This achieves the technical effect of conducting a comprehensive and detailed load-bearing verification of the overpass and improving the reliability of the safety assessment.

[0106] Example 2

[0107] Based on the same inventive concept as the safety assessment method for a separated overpass in the aforementioned embodiment, Figure 4 As shown, the present application provides a safety assessment system for a separated overpass. The system and method embodiments in the present application are based on the same inventive concept. The system includes:

[0108] A model acquisition module 11 is configured to acquire a BIM model of the overpass construction when a first evaluation period is satisfied, wherein the BIM model of the overpass construction includes column base distribution features;

[0109] A characteristic information acquisition module 12 is used to determine the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtain geological characteristic information of the load-bearing foundation area of the overpass;

[0110] A load-bearing verification result obtaining module 13 is used to perform load-bearing verification according to the geological characteristic information and obtain a foundation load-bearing verification result;

[0111] A structural information acquisition module 14 is configured to acquire structural information of the overpass according to the overpass construction BIM model when the foundation load-bearing verification result passes;

[0112] A verification result obtaining module 15 is used to perform multi-level load-bearing verification according to the overpass structure information to obtain the overpass load-bearing verification result;

[0113] A pass mark generation module 16, the pass mark generation module 16 is used to generate an overpass safety check pass mark when the overpass load-bearing check result is passed;

[0114] The failed mark generation module 17 is used to generate an overpass safety check failed mark when the foundation load-bearing check result or the overpass load-bearing check result fails.

[0115] Furthermore, the feature information acquisition module 12 is used to perform the following method:

[0116] According to the column base distribution characteristics, the peripheral column base distribution positions are extracted and connected to obtain the column base distribution area;

[0117] Conducting multi-point geological testing on the column base distribution area to obtain geological feature detection results;

[0118] Partitioning the column base distribution area according to the geological feature detection result to obtain column base distribution zoning results;

[0119] Traversing the column base distribution features to extract column base distribution positions and obtain the foundation load-bearing foundation area;

[0120] The edge diffusion of the foundation load-bearing foundation area is performed according to the column base distribution zoning result to obtain the load-bearing foundation area of the overpass and the geological feature information.

[0121] Furthermore, the feature information acquisition module 12 is used to perform the following method:

[0122] Acquire, according to the geological feature detection result, a first position geological feature detection result and a second position geological feature detection result of the first geological attribute, wherein the first position is a detection position of the first window, the second position is a detection position of the second window, and the first window and the second window are adjacent windows;

[0123] When a detection result deviation between the geological feature detection result at the first position and the geological feature detection result at the second position is less than or equal to a first geological attribute deviation threshold, merging the first window and the second window into the same area;

[0124] Repeat clustering to obtain the first geological attribute partition result, the second geological attribute partition result, and so on until the Nth geological attribute partition result;

[0125] The first geological attribute partitioning result, the second geological attribute partitioning result, and the Nth geological attribute partitioning result are intersected to obtain the column base distribution partitioning result.

[0126] Furthermore, the feature information acquisition module 12 is used to perform the following method:

[0127] According to the column base distribution zoning result, the geological feature detection result of the foundation load-bearing foundation area is obtained and set as the geological feature information;

[0128] When the foundation load-bearing area includes multiple partitions, obtaining a partition contact area ratio, and setting the geological feature detection result of the partition whose partition contact area ratio is greater than or equal to a first area ratio threshold as the geological feature information;

[0129] When the number of partitions whose contact area ratio is greater than or equal to the first area ratio threshold is zero, sorting the multiple partitions by geological bearing capacity according to the geological feature detection result to obtain the contact area ratio of the partition with the worst bearing capacity;

[0130] If the contact area ratio of the partition with the worst bearing capacity is greater than or equal to a second area ratio threshold, and the partition with the worst bearing capacity is distributed at the edge of the foundation bearing area, the geological feature detection result corresponding to the partition with the worst bearing capacity is set as the geological feature information;

[0131] Otherwise, the average of the geological feature detection results corresponding to the k partitions whose partition contact area ratios are closest to the first area ratio threshold is set as the geological feature information, where k is an integer greater than or equal to 2;

[0132] Perform collapse accident retrieval based on the geological feature information and the foundation bearing area of the foundation bearing ground region to obtain a record value of the collapse accident diffusion range;

[0133] Performing a centralized value evaluation on the recorded values of the diffusion range of the collapse accident to obtain the diffusion identification range of the collapse accident, and performing edge diffusion on the foundation bearing foundation area to obtain the load-bearing foundation area of the overpass.

[0134] Furthermore, the load-bearing verification result obtaining module 13 is used to execute the following method:

[0135] Obtaining the maximum load and fixed characteristics of the overpass, performing load distribution based on the overpass construction BIM model, and obtaining a maximum load calibration result of the overpass load-bearing foundation area;

[0136] Inputting the geological characteristic information and the load-bearing area of the overpass load-bearing foundation region into a maximum load prediction model to obtain a maximum load prediction result;

[0137] When the maximum load prediction result is less than or equal to the maximum load calibration result, a foundation load-bearing verification failure signal is generated;

[0138] When the maximum load prediction result is greater than the maximum load calibration result, a foundation bearing verification pass signal is generated;

[0139] The foundation load-bearing verification failure signal or the foundation load-bearing verification pass signal is added to the foundation load-bearing verification result.

[0140] Furthermore, the verification result obtaining module 15 is used to perform the following method:

[0141] Splitting the overpass structure information from bottom to top to obtain column base feature information, bridge deck feature information, lower column feature information, middle column feature information, upper column feature information, and cable feature information;

[0142] Based on the overpass construction BIM model, load distribution is performed to obtain the expected load of the column base, the expected load of the bridge deck, the expected load of the lower column, the expected load of the middle column, the expected load of the upper column and the expected load of the cable;

[0143] Traversing the column base characteristic information, the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to perform a multi-level load-bearing univariate analysis to obtain the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable;

[0144] According to the expected load of the column base, the expected load of the bridge deck, the expected load of the lower column, the expected load of the middle column, the expected load of the upper column and the expected load of the cable, the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column and the predicted maximum load of the cable are verified:

[0145] When all the checks are passed, an overpass load-bearing check passed signal is generated; when any one of the checks fails, an overpass load-bearing check failed signal is generated.

[0146] Furthermore, the verification result obtaining module 15 is used to perform the following method:

[0147] Acquiring column base structural features and column base material features according to the column base feature information;

[0148] Setting the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to preset characteristic values, wherein the preset characteristic values are characteristic values that meet the expected load;

[0149] Based on the preset characteristic value and the overpass structure information as fixed parameters, and the column base structure characteristics and the column base material characteristics as variable parameters, collecting load-bearing test record data;

[0150] Performing cluster analysis on the load-bearing detection record data according to the column base structural characteristics to obtain a first clustering result of the record data;

[0151] Performing cluster analysis on the first clustering result of the recorded data according to the pillar base material characteristics to obtain a second clustering result of the recorded data;

[0152] Obtaining the minimum load-bearing value of the second clustering result of the recorded data to which the column base structural characteristics and the column base material characteristics belong, and setting the minimum load-bearing value as the predicted maximum load of the column base;

[0153] The bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information and the cable characteristic information are traversed to perform multi-level load-bearing univariate analysis to obtain the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column and the predicted maximum load of the cable.

[0154] It should be noted that the above-mentioned order of the embodiments of the present application is for descriptive purposes only and does not represent the superiority or inferiority of the embodiments. The above description is of specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0155] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

[0156] This specification and drawings are merely illustrative of the present application and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of this application. Obviously, those skilled in the art may make various modifications and variations to this application without departing from the scope of this application. Thus, this application is intended to include such modifications and variations as fall within the scope of this application and its equivalents.

Claims

1. A safety assessment method for a separated overpass, characterized in that: include: When the first evaluation period is met, obtaining a BIM model of the overpass construction, wherein the BIM model of the overpass construction includes column base distribution characteristics; Determine the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtain geological characteristic information of the load-bearing foundation area of the overpass; Perform load-bearing verification based on the geological characteristic information to obtain foundation load-bearing verification results; When the foundation load-bearing verification result passes, obtaining the overpass structure information according to the overpass construction BIM model; Perform multi-level load-bearing verification according to the overpass structure information to obtain the overpass load-bearing verification result; When the overpass load-bearing verification result is passed, an overpass safety verification pass mark is generated; When the foundation load-bearing verification result or the overpass load-bearing verification result fails, an overpass safety verification failure flag is generated; The load-bearing verification is performed according to the geological characteristic information to obtain the foundation load-bearing verification result, including: Obtaining the maximum load and fixed characteristics of the overpass, performing load distribution based on the overpass construction BIM model, and obtaining a maximum load calibration result of the overpass load-bearing foundation area; Inputting the geological characteristic information and the load-bearing area of the overpass load-bearing foundation region into a maximum load prediction model to obtain a maximum load prediction result; When the maximum load prediction result is less than or equal to the maximum load calibration result, a foundation load-bearing verification failure signal is generated; When the maximum load prediction result is greater than the maximum load calibration result, a foundation bearing verification pass signal is generated; adding the foundation load-bearing verification failure signal or the foundation load-bearing verification pass signal to the foundation load-bearing verification result; The multi-level load-bearing verification is performed according to the overpass structure information to obtain the overpass load-bearing verification result, including: Splitting the overpass structure information from bottom to top to obtain column base feature information, bridge deck feature information, lower column feature information, middle column feature information, upper column feature information, and cable feature information; Based on the overpass construction BIM model, load distribution is performed to obtain the expected load of the column base, the expected load of the bridge deck, the expected load of the lower column, the expected load of the middle column, the expected load of the upper column and the expected load of the cable; Traversing the column base characteristic information, the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to perform a multi-level load-bearing univariate analysis to obtain the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable; According to the expected load of the column base, the expected load of the bridge deck, the expected load of the lower column, the expected load of the middle column, the expected load of the upper column and the expected load of the cable, the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column and the predicted maximum load of the cable are verified: When all the checks are passed, an overpass load-bearing check passed signal is generated; when any one of the checks fails, an overpass load-bearing check failed signal is generated.

2. The method according to claim 1, wherein Determining the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtaining geological characteristic information of the load-bearing foundation area of the overpass, including: According to the column base distribution characteristics, the peripheral column base distribution positions are extracted and connected to obtain the column base distribution area; Conducting multi-point geological testing on the column base distribution area to obtain geological feature detection results; Partitioning the column base distribution area according to the geological feature detection result to obtain column base distribution zoning results; Traversing the column base distribution features to extract column base distribution positions and obtain the foundation load-bearing foundation area; The foundation load-bearing foundation area is subjected to edge diffusion according to the column base distribution zoning result to obtain the overpass load-bearing foundation area and the geological feature information.

3. The method according to claim 2, wherein Partitioning the column base distribution area according to the geological feature detection result to obtain column base distribution partition results includes: Acquire, according to the geological feature detection result, a first position geological feature detection result and a second position geological feature detection result of the first geological attribute, wherein the first position is a detection position of the first window, the second position is a detection position of the second window, and the first window and the second window are adjacent windows; When a detection result deviation between the geological feature detection result at the first position and the geological feature detection result at the second position is less than or equal to a first geological attribute deviation threshold, merging the first window and the second window into the same area; Repeat clustering to obtain the first geological attribute partition result, the second geological attribute partition result, and so on until the Nth geological attribute partition result; The first geological attribute partitioning result, the second geological attribute partitioning result, and the Nth geological attribute partitioning result are intersected to obtain the column base distribution partitioning result.

4. The method according to claim 3, wherein Performing edge diffusion on the foundation load-bearing foundation area according to the column base distribution zoning result to obtain the overpass load-bearing foundation area and the geological feature information, including: According to the column base distribution zoning result, the geological feature detection result of the foundation load-bearing foundation area is obtained and set as the geological feature information; When the foundation load-bearing area includes multiple partitions, obtaining a partition contact area ratio, and setting the geological feature detection result of the partition whose partition contact area ratio is greater than or equal to a first area ratio threshold as the geological feature information; When the number of partitions whose contact area ratio is greater than or equal to the first area ratio threshold is zero, sorting the multiple partitions by geological bearing capacity according to the geological feature detection result to obtain the contact area ratio of the partition with the worst bearing capacity; If the contact area ratio of the partition with the worst bearing capacity is greater than or equal to a second area ratio threshold, and the partition with the worst bearing capacity is distributed at the edge of the foundation bearing area, the geological feature detection result corresponding to the partition with the worst bearing capacity is set as the geological feature information; Otherwise, the average of the geological feature detection results corresponding to the k partitions whose partition contact area ratios are closest to the first area ratio threshold is set as the geological feature information, where k is an integer greater than or equal to 2; Perform collapse accident retrieval based on the geological feature information and the foundation bearing area of the foundation bearing ground region to obtain a record value of the collapse accident diffusion range; Performing a centralized value evaluation on the recorded values of the diffusion range of the collapse accident to obtain the diffusion identification range of the collapse accident, and performing edge diffusion on the foundation bearing foundation area to obtain the load-bearing foundation area of the overpass.

5. The method according to claim 1, wherein Traversing the column base characteristic information, the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to perform multi-level load-bearing univariate analysis to obtain the predicted maximum load of the column base, the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column, and the predicted maximum load of the cable, including: Acquiring column base structural features and column base material features according to the column base feature information; Setting the bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information, and the cable characteristic information to preset characteristic values, wherein the preset characteristic values are characteristic values that meet the expected load; Based on the preset characteristic value and the overpass structure information as fixed parameters, and the column base structure characteristics and the column base material characteristics as variable parameters, collecting load-bearing test record data; Performing cluster analysis on the load-bearing detection record data according to the column base structural characteristics to obtain a first clustering result of the record data; Performing cluster analysis on the first clustering result of the recorded data according to the pillar base material characteristics to obtain a second clustering result of the recorded data; Obtaining the minimum load-bearing value of the second clustering result of the recorded data to which the column base structural characteristics and the column base material characteristics belong, and setting the minimum load-bearing value as the predicted maximum load of the column base; The bridge deck characteristic information, the lower column characteristic information, the middle column characteristic information, the upper column characteristic information and the cable characteristic information are traversed to perform multi-level load-bearing univariate analysis to obtain the predicted maximum load of the bridge deck, the predicted maximum load of the lower column, the predicted maximum load of the middle column, the predicted maximum load of the upper column and the predicted maximum load of the cable.

6. A safety assessment system for a separated overpass, characterized in that: The system is used to perform the safety assessment method for a separated overpass according to any one of claims 1 to 5, comprising: A model acquisition module, wherein the model acquisition module is used to acquire a BIM model of the overpass construction when a first evaluation period is satisfied, wherein the BIM model of the overpass construction includes column base distribution characteristics; A feature information acquisition module, the feature information acquisition module is used to determine the load-bearing foundation area of the overpass according to the column base distribution characteristics, and obtain geological feature information of the load-bearing foundation area of the overpass; A load-bearing verification result obtaining module is used to perform load-bearing verification according to the geological characteristic information and obtain a foundation load-bearing verification result; A structural information acquisition module, wherein the structural information acquisition module is used to obtain structural information of the overpass according to the overpass construction BIM model when the foundation load-bearing verification result passes; A verification result obtaining module, the verification result obtaining module is used to perform multi-level load-bearing verification according to the overpass structure information and obtain the overpass load-bearing verification result; A pass mark generation module, the pass mark generation module is used to generate an overpass safety check pass mark when the overpass load-bearing check result is passed; The failed mark generation module is used to generate an overpass safety check failed mark when the foundation load-bearing check result or the overpass load-bearing check result fails.

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