Bridge structure post-impact image identification and damage quantification system
By establishing a 3D model through bridge identification and analysis and dynamic image acquisition, the problem of inaccurate damage assessment after bridge impact was solved, enabling precise damage quantification and safe and efficient repair.
Patent Information
- Application Number
- CN202511182115.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-22
- Publication Date
- 2025-12-05
AI Technical Summary
Current technologies for assessing bridge impact damage are inaccurate, leading to poor repair results and potential traffic hazards.
The bridge identification and analysis module collects stress distribution data at support points, and the dynamic image acquisition module obtains images before and after the impact. A three-dimensional data model is established, and image analysis and damage data assessment are performed. Finally, a quantitative assessment and repair plan are formulated.
It enables precise analysis of bridge damage, reduces repair time, and improves the specificity and safety of repairs.
Smart Images
Figure CN121074752A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of bridge impact data analysis, and in particular to a system for image recognition and damage quantification of bridge structures after impact. Background Technology
[0002] With the continuous progress of society, road traffic infrastructure has become increasingly sophisticated, resulting in various types of traffic terrain, such as mountain roads, tunnels, expressways, and bridges. As a result, traffic accidents can have different risks and severity depending on the terrain. Traffic accidents on bridges are particularly important because, compared to other types of traffic terrain, bridges are not only more risky but also harder to replace. Due to the irreplaceable nature of bridges, they need to be repaired after a traffic accident.
[0003] Currently, collisions involving vehicles impacting the superstructure of bridges are frequent, causing significant economic losses and casualties. After a collision, the safety and normal performance of the bridge structure are severely affected, necessitating impact damage assessment and repair of bridges that have been involved in accidents. However, current technologies for assessing bridge impact damage are inaccurate, relying solely on impact data analysis and evaluation of the extent of damage after an accident. This results in poor repair outcomes, only temporarily adapting the bridge to normal traffic. Furthermore, due to the incomplete analysis of bridge damage, significant traffic hazards remain even after bridge repair. Summary of the Invention
[0004] The present invention aims to provide an image recognition and damage quantification system for bridge structures after impact, which solves the problem in the prior art that the analysis of the damage to impact-damaged bridges is not comprehensive, resulting in poor bridge repair results, and that the analysis does not combine the image data of the bridge before the impact.
[0005] To achieve the above objectives, the present invention provides the following system:
[0006] The present invention provides a system for image recognition and damage quantification of bridge structures after impact:
[0007] Bridge identification and analysis module: Real-time acquisition of stress distribution data at various support points of the bridge structure;
[0008] Dynamic image acquisition module: Acquires dynamic images of the bridge within multiple time units before and after the impact;
[0009] Dynamic image analysis module: performs image analysis on the dynamic images of the bridge within multiple time units before and after the impact to obtain image analysis data results;
[0010] The damage data evaluation module evaluates the damage data according to the image analysis data result, and obtains a damage data evaluation result.
[0011] The evaluation data quantification module quantifies the damage data evaluation result, and obtains a bridge impact quantification evaluation result.
[0012] Preferably, the bridge identification and analysis module comprises: a plurality of image acquisition devices and a plurality of physical parameter acquisition devices arranged on the bridge, the plurality of image acquisition devices acquire stress distribution data of each support point before and after the bridge impact, and the plurality of physical parameter acquisition devices acquire physical parameters of each key support point of the bridge; all the video acquisition devices and the physical parameter acquisition devices are connected through a remote analysis device.
[0013] Preferably, the step of collecting the bridge dynamic images in a plurality of unit time periods before and after the impact comprises: obtaining a threshold change amount of the image acquisition device under the stress distribution data, setting a collection time period; determining whether the image acquisition device is triggered according to the threshold change amount; if the image acquisition device is triggered, controlling the image acquisition device to collect images; calculating parameters of the collected images; comparing the parameters with the threshold change amount, updating a current sensing threshold according to a comparison result, and updating the current sensing threshold to determine whether the image acquisition device is triggered after the next image collection until the collection time period ends, so as to obtain the bridge dynamic images in the plurality of unit time periods before and after the impact.
[0014] Preferably, after the dynamic image collection module, the system further comprises: a model establishment module for establishing a bridge three-dimensional data model according to the collected bridge dynamic images; the bridge dynamic images are gridded and split into a plurality of data image units of the same size; the main structure and size of the bridge are determined according to the data composition of the data image units, and the bridge three-dimensional data model is established.
[0015] Preferably, the step of performing image analysis on the bridge dynamic images before and after the impact in multiple unit time periods to obtain image analysis data results comprises: collecting historical damage states including historical damage degrees and historical damage types; based on the historical damage states and the bridge dynamic images before the impact in multiple unit time periods, analyzing the bridge dynamic images after the impact to obtain current bridge damage states, including: matching the bridge dynamic images after the impact based on the bridge dynamic images before the impact in multiple unit time periods, and determining the current bridge damage type from the historical damage types based on the matching result; matching the bridge dynamic images after the impact based on the current bridge damage type and the historical damage degrees, and determining the current bridge damage degree.
[0016] Preferably, the step of performing damage data evaluation based on the image analysis data results to obtain damage data evaluation results comprises: obtaining the image analysis data results to construct a model data set, and determining each correction coefficient through the model data set; compensating the bridge structure prediction data respectively according to the corresponding correction coefficients to obtain corresponding compensation data; and constructing a data set based on all the compensation data to perform bridge damage evaluation data evaluation, thereby obtaining damage data evaluation results.
[0017] Preferably, the step of determining each correction coefficient through the model data set comprises: establishing a prediction data set by predicting the prediction data corresponding to each data sample in the model data set; training an error compensation model through the prediction data set, and predicting each correction coefficient through the trained error compensation model.
[0018] Preferably, the step of performing data quantification on the damage data evaluation results to obtain bridge impact quantification evaluation results comprises: splitting the damage data evaluation results into different modules according to different positions, converting the damage data evaluation results of different modules into the same format, integrating the damage data evaluation results of the same module to obtain a damage data evaluation module, and associating the damage data evaluation module with the bridge position to obtain bridge impact quantification evaluation results.
[0019] Preferably, the system further comprises a bridge damage result analysis module configured to perform bridge damage result analysis based on the bridge impact quantification evaluation results, compare the bridge damage result with average damage data in a historical bridge damage database, and obtain a bridge damage analysis result.
[0020] Preferably, the system further comprises a bridge repair module: making a bridge repair judgment through the bridge damage analysis result, if the bridge damage analysis result is higher than the average damage data in the historical bridge damage database, repairing according to the historical bridge repair scheme, if the bridge damage analysis result is lower than the average damage data in the historical bridge damage database, formulating a new bridge repair scheme according to the bridge impact quantitative evaluation result, and updating the historical bridge damage database.
[0021] The beneficial effects of the present application are embodied in: the present application collects support point stress distribution data of the bridge through the bridge identification analysis module, then collects bridge dynamic images in multiple unit time periods before and after impact through the dynamic image acquisition module, so that the information data of the bridge before and after impact is more perfect, the data analysis is more accurate, the bridge three-dimensional data model is established by gridding the images, the damage analysis of the whole bridge is more accurate, the hidden damage condition of the bridge after impact is prevented, the damage condition of the bridge is determined by using the bridge dynamic image, and the evaluation and data quantification are performed in sequence, so that the damage conditions of different bridges are mutually applicable in some fields, the repair analysis process is reduced, the repair time of the bridge is greatly improved, the repair scheme of the bridge is applied while adapting to local conditions, a new bridge repair scheme is formulated for different bridges, the specificity of bridge repair is maximized while different repair schemes can be applied, and the safety of the repaired bridge is improved. BRIEF DESCRIPTION OF DRAWINGS
[0022] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the drawings needed in the specific embodiments or the prior art description will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, each element or part is not necessarily drawn according to the actual scale.
[0023] Figure 1 A flowchart of a bridge structure impact image recognition and damage quantification system according to an embodiment of the present application is shown. DETAILED DESCRIPTION
[0024] In order to make the person skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely below in combination with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by the person skilled in the art without creative labor are within the protection scope of the present application.
[0025] The terms "first", "second", and the like in the description and in the claims of the present application and above-described drawings are used to distinguish different objects, and are not used to describe a particular order. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but can optionally also include steps or units not listed, or can optionally also include other steps or units inherent to these processes, methods, products or ends.
[0026] Reference herein to "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative to other embodiments. It is explicitly and implicitly understood by those skilled in the art that embodiments described herein can be combined with other embodiments.
[0027] At present, vehicle collision accidents such as bridge superstructure collision accidents occur frequently, causing huge economic losses and casualties, and after the collision accident occurs, the safety state and normal use performance of the bridge structure will be seriously affected, and the bridge that has occurred accident needs to be collided and damaged to evaluate and repair, the collision damage evaluation of the bridge in the prior art is not accurate, but simply analyzes and evaluates the collision data of the bridge damaged after collision, resulting in poor repair effect, which can only temporarily adapt to normal traffic, but due to the incomplete analysis of the damaged condition of the bridge, there is still a great traffic hidden danger after the bridge is repaired.
[0028] The present application aims to provide a bridge structure image recognition and damage quantification system after collision, which solves the problem of incomplete analysis of the damaged condition of the collided and damaged bridge in the prior art, resulting in poor repair effect of the bridge, and does not analyze the image data before the bridge is collided.
[0029] As shown in Figure 1 The embodiment of the present application provides a bridge structure image recognition and damage quantification system after collision, which comprises the following modules:
[0030] Bridge recognition and analysis module: real-time acquisition of stress distribution data of each support point of the bridge structure.
[0031] In the embodiment of the present application, a plurality of image acquisition devices and a plurality of physical parameter acquisition devices are arranged on the bridge, the plurality of image acquisition devices acquire stress distribution data of each support point before and after the bridge is hit, and the plurality of physical parameter acquisition devices acquire physical parameters of each key support point of the bridge; all the video acquisition devices and the physical parameter acquisition devices are connected through a remote analysis device, and the data acquired by the physical parameter acquisition device is parameter information of the entire bridge and the average weight and the maximum weight of the bridge per day.
[0032] The dynamic image acquisition module acquires the dynamic images of the bridge in a plurality of unit time periods before and after the bridge is hit.
[0033] In the embodiment of the present application, the threshold variation of the image acquisition device under the stress distribution data is acquired, and the acquisition time period is set; whether the image acquisition device is triggered is determined according to the threshold variation; if the image acquisition device is triggered, the image acquisition device is controlled to acquire images; the parameters of the acquired images are calculated; the parameters are compared with the threshold variation, and the current sensing threshold is updated according to the comparison result, the updated current sensing threshold enters the judgment of whether the image acquisition device is triggered after the next image acquisition, and the dynamic images of the bridge in a plurality of unit time periods before and after the bridge is hit are obtained until the acquisition time period ends, and the acquisition time period is generally per day or a time period calculated according to the traffic volume.
[0034] The dynamic image analysis module analyzes the dynamic images of the bridge in a plurality of unit time periods before and after the bridge is hit to obtain image analysis data results.
[0035] In the embodiment of the present application, after the dynamic image acquisition module, the system further comprises a model establishment module: a bridge three-dimensional data model is established according to the acquired dynamic images of the bridge; the dynamic images of the bridge are gridded and split into a plurality of data image units of the same size; the main structure and size of the bridge are determined according to the data composition of the data image units, and the bridge three-dimensional data model is established; the steps of analyzing the dynamic images of the bridge in a plurality of unit time periods before and after the bridge is hit to obtain image analysis data results, comprising: acquiring a historical damage state including a historical damage degree and a historical damage type; based on the historical damage state and the dynamic images of the bridge in a plurality of unit time periods before the bridge is hit, analyzing the dynamic images of the bridge in a plurality of unit time periods after the bridge is hit to obtain a current bridge damage state, including: matching the dynamic images of the bridge in a plurality of unit time periods after the bridge is hit based on the dynamic images of the bridge in a plurality of unit time periods before the bridge is hit, and determining the current bridge damage type from the historical damage type based on the matching result; matching the dynamic images of the bridge in a plurality of unit time periods after the bridge is hit based on the current bridge damage type and the historical damage degree to determine the current bridge damage degree.
[0036] The damage data evaluation module evaluates the damage data according to the image analysis data result, and obtains a damage data evaluation result.
[0037] In the embodiment of the present application, the image analysis data result is obtained to construct a model data set, and each correction coefficient is determined through the model data set. A prediction data set is established by predicting the prediction data corresponding to each data sample in the model data set. The error compensation model is trained through the prediction data set, and each correction coefficient is predicted through the trained error compensation model. The bridge structure prediction data is compensated according to the corresponding correction coefficient, and the corresponding compensation data is obtained. The damage evaluation data is evaluated based on the data set constructed by all the compensation data, and the damage data evaluation result is obtained. The damage evaluation result not only includes the damaged bridge part, but also includes the coincidence degree of each part of the bridge after the bridge is hit and before the bridge is hit, that is, the offset degree of the bridge components.
[0038] The evaluation data quantification module quantifies the damage data evaluation result to obtain a bridge impact quantification evaluation result.
[0039] In the embodiment of the present application, the damage data evaluation result is split into different modules according to different positions, the damage data evaluation results of different modules are converted into the same format, and the damage data evaluation results of the same module are integrated to obtain a damage data evaluation module. The bridge impact quantification evaluation result is obtained by associating the damage data evaluation module with the bridge position.
[0040] The system further comprises a bridge damage result analysis module for analyzing the bridge damage result according to the bridge impact quantification evaluation result, comparing the bridge damage result with the average damage data in the historical bridge damage database, and obtaining a bridge damage analysis result.
[0041] The system further comprises a bridge repair module for judging the bridge repair according to the bridge damage analysis result. If the bridge damage analysis result is higher than the average damage data in the historical bridge damage database, the bridge is repaired according to the historical bridge repair scheme. If the bridge damage analysis result is lower than the average damage data in the historical bridge damage database, a new bridge repair scheme is formulated according to the bridge impact quantification evaluation result, and the historical bridge damage database is updated.
[0042] The beneficial effects of the present application are embodied in that the present application collects the support point stress distribution data of the bridge through the bridge identification analysis module, and then collects the dynamic images of the bridge in multiple unit time periods before and after the impact through the dynamic image acquisition module, so that the information data of the bridge before and after the impact is more perfect, the data analysis is more accurate, the bridge three-dimensional data model is established by griding the images, the damage analysis of the whole bridge is more accurate, the hidden damage of the bridge after the impact is prevented, the damage of the bridge is determined by the dynamic images, and the evaluation and data quantization are carried out in sequence, so that the damage of different bridges in some fields can be mutually applied, the repair analysis process is reduced, the repair time of the bridge is greatly improved, the repair bridge scheme is applied at the same time, the new bridge repair scheme is formulated according to different bridges, the specificity of the bridge repair is maximized, and the safety of the repaired bridge is improved.
[0043] The above is only an embodiment of the present application, and the specific technical solutions or characteristics known in the scheme are not described in detail; it should be pointed out that for those skilled in the art, without departing from the scheme of the present application, a number of modifications and improvements can be made, which should also be regarded as the protection scope of the present application, and these will not affect the effect and practicality of the patent. The protection scope claimed in the present application should be subject to the content of its claims, and the specific implementation mode and the like recorded in the specification can be used to explain the content of the claims.
Claims
1. A post-impact image recognition and damage quantification system for bridge structures, characterized by, The system comprises: Bridge identification analysis module: real-time acquisition of stress distribution data of each support point of the bridge structure; Dynamic image acquisition module: acquisition of dynamic images of the bridge in multiple unit time periods before and after the impact; Dynamic image analysis module: image analysis of the dynamic images of the bridge in multiple unit time periods before and after the impact to obtain image analysis data results; Damage data evaluation module: damage data evaluation based on the image analysis data results to obtain damage data evaluation results; Evaluation data quantification module: data quantification of the damage data evaluation results to obtain bridge impact quantification evaluation results.
2. A post-crash image recognition and damage quantification system for a bridge structure according to claim 1, characterized in that, The bridge identification analysis module comprises: Multiple image acquisition devices and multiple physical parameter acquisition devices are arranged on the bridge, the multiple image acquisition devices acquire stress distribution data of each support point of the bridge before and after the impact, and the multiple physical parameter acquisition devices acquire physical parameters of each key support point of the bridge; All the video acquisition devices and the physical parameter acquisition devices are connected through a remote analysis device.
3. The post-crash image recognition and damage quantification system for bridge structures of claim 1, wherein, The step of acquiring dynamic images of the bridge in multiple unit time periods before and after the impact comprises: Obtaining a threshold change amount of the image acquisition device under the stress distribution data, and setting an acquisition time period; Determining whether the image acquisition device is triggered according to the threshold change amount; If the image acquisition device is triggered, controlling the image acquisition device to acquire images; Calculating parameters of the acquired images; Comparing the parameters with the threshold change amount, updating the current sensing threshold according to the comparison result, and updating the current sensing threshold to determine whether the image acquisition device is triggered after the next image acquisition until the end of the acquisition time period, thereby obtaining dynamic images of the bridge in multiple unit time periods before and after the impact.
4. The post-crash image recognition and damage quantification system for bridge structures of claim 1, wherein, After the dynamic image acquisition module, the system further comprises: Model establishment module: establishing a three-dimensional data model of the bridge according to the acquired dynamic images of the bridge; Griding the dynamic images of the bridge and splitting them into multiple data image units of the same size; Determining the main structure and size of the bridge according to the data composition of the data image units to establish the three-dimensional data model of the bridge.
5. The post-crash image recognition and damage quantification system for bridge structures of claim 1, wherein, The step of analyzing the dynamic images of the bridge in multiple unit time periods before and after the impact to obtain image analysis data results comprises: The historical damage state includes historical damage degree and historical damage type; Based on the historical damage state and the dynamic images of the bridge in multiple unit time periods before the impact, analyzing the dynamic images of the bridge in multiple unit time periods after the impact to obtain the current bridge damage state, including: Based on the dynamic images of the bridge in multiple unit time periods before the impact, matching the dynamic images of the bridge in multiple unit time periods after the impact, and determining the current bridge damage type from the historical damage type based on the matching result; Based on the current bridge damage type and the historical damage degree, matching the dynamic images of the bridge in multiple unit time periods after the impact to determine the current bridge damage degree.
6. The post-crash image recognition and damage quantification system for bridge structures of claim 1, wherein, The damage data evaluation result is obtained by damage data evaluation according to the image analysis data result, and the damage data evaluation result is obtained by damage data evaluation according to the image analysis data result. Obtain the image analysis data result to construct a model data set, and determine each correction coefficient through the model data set; According to the corresponding correction coefficient, the bridge structure prediction data is compensated respectively to obtain the corresponding compensation data; Based on all the compensation data, the data set is constructed to evaluate the bridge damage evaluation data, and the damage data evaluation result is obtained.
7. A post-impact image recognition and damage quantification system for bridge structures according to claim 6, characterized in that, The step of determining each correction coefficient through the model data set comprises: A prediction data set is established by predicting the prediction data corresponding to each data sample in the model data set; The error compensation model is trained through the prediction data set, and each correction coefficient is predicted through the trained error compensation model.
8. The post-crash image recognition and damage quantification system for bridge structures of claim 1, wherein, The step of quantifying the damage data evaluation result to obtain the bridge impact quantitative evaluation result comprises: The damage data evaluation result is divided into different modules according to different positions, the damage data evaluation results of different modules are converted into the same format, and the damage data evaluation results of the same module are integrated to obtain the damage data evaluation module; The damage data evaluation module is associated with the bridge position to obtain the bridge impact quantitative evaluation result.
9. The post-crash image recognition and damage quantification system for bridge structures of claim 1, wherein, The system further comprises: Bridge damage result analysis module: according to the bridge impact quantitative evaluation result, the bridge damage result analysis is carried out, the bridge damage result is compared with the average damage data in the historical bridge damage database, and the bridge damage analysis result is obtained.
10. A post-impact image recognition and damage quantification system for a bridge structure according to claim 9, wherein, The system further comprises: Bridge repair module: bridge repair judgment is carried out through the bridge damage analysis result, if the bridge damage analysis result is higher than the average damage data in the historical bridge damage database, the historical bridge repair scheme is repaired, if the bridge damage analysis result is lower than the average damage data in the historical bridge damage database, a new bridge repair scheme is formulated according to the bridge impact quantitative evaluation result, and the historical bridge damage database is updated.