CN-121997422-A - Structured collection and tracking inspection method for highway bridge disease data

CN121997422ACN 121997422 ACN121997422 ACN 121997422ACN-121997422-A

Abstract

The invention provides a method for structured collection, tracking and inspection of road bridge disease data, which relates to the technical field of establishing data structures, and comprises the following steps of constructing a road bridge structure analysis standard and disease metadata system; the method comprises the steps of carrying out component coding on a disease classification result based on a preset evaluation standard, dividing risk grades through evaluating the disease degree to obtain space position data, constructing a coordinate conversion system for disease space positioning, fusing a bridge disease model and a bridge structure analysis model to generate a bridge defect visualization model for representing the disease position, carrying out tracking and comparison analysis on the disease development state by combining historical disease data, evaluating the disease development trend through a prediction model, and generating a bridge maintenance suggestion and a repair scheme. The invention realizes the whole-flow digital control from collection, classification, positioning to tracking and maintenance of diseases, and provides solid technical support for bridge structure safety guarantee and long-acting operation and maintenance.

Inventors

ZHENG CHEN
CHEN ZHENG
MA NAIXUAN
CHEN XIANGYIN
ZHANG ZHENHU

Assignees

山东高速工程检测有限公司

Dates

Publication Date: 20260508
Application Date: 20260123

Claims (10)

1. The method for structured collection, tracking and inspection of highway bridge disease data is characterized by comprising the following steps: S1, constructing a bridge structure analysis model based on a BIM technology in advance, analyzing components of a road bridge drawing material and field actual measurement data which are acquired in advance, and constructing a road bridge structure analysis standard and disease metadata system according to component analysis results; S2, collecting highway bridge disease data based on a highway bridge structure analysis standard and a disease metadata system, and classifying the disease data, performing component coding on a disease classification result based on a preset evaluation standard, and classifying risk grades by evaluating the disease degree to obtain space position data comprising disease component codes, disease types and risk grades; S3, constructing a bridge disease model according to the space position data, and constructing a coordinate conversion system for disease space positioning by combining a bridge structure analysis model; S4, fusing the bridge defect model and the bridge structure analysis model based on a coordinate conversion system to generate a bridge defect visualization model for presenting the defect position; S5, tracking and comparing analysis of disease development states are carried out based on the bridge defect visualization model and combined with historical disease data, and the disease development trend is estimated through the prediction model, so that bridge maintenance suggestions and repair schemes are generated.
2. The method for structured collection, tracking and inspection of highway bridge defect data according to claim 1, wherein the construction of the bridge structure analysis model based on the prior BIM technology, the component analysis of the pre-obtained highway bridge drawing material and the on-site measured data, and the construction of the highway bridge structure analysis standard and defect metadata system according to the component analysis result comprises the following steps: S11, acquiring road bridge drawing materials and field actual measurement data, and constructing a bridge structure analysis model by using BIM software based on the road bridge drawing materials; S12, carrying out component analysis on the road bridge structure analysis model, and determining an origin coordinate system of a component surface by extracting component characteristics to form a construction analysis result containing component coding rules and component hierarchical relations; s13, configuring a bridge structure analysis standard comprising component coding rules, origin coordinate system definition, component hierarchy relation and space position requirements based on component analysis results; S14, generating a disease metadata system comprising standard disease type codes, disease attribute field definitions, quantitative classification thresholds and spatial data record specifications associated with component codes and an origin coordinate system according to predefined disease classification and severity assessment rules.
3. The method for structured collection, tracking and inspection of highway bridge disease data according to claim 1, wherein the method for structured collection, tracking and inspection of highway bridge disease data based on a highway bridge structure analysis standard and a disease metadata system collects highway bridge disease data and classifies the disease data, wherein the method for structured collection, tracking and inspection of highway bridge disease data based on a preset evaluation standard codes components of a disease classification result and classifies risk levels by evaluating disease degrees to obtain spatial position data comprising disease component codes, disease types and risk levels comprises the following steps: S21, acquiring point cloud data and image data of the surface of the highway bridge by using data acquisition equipment; s22, preprocessing the image data by adopting an image recognition algorithm to extract disease characteristic parameters, and verifying a disease area by using point cloud curvature analysis to obtain a disease characteristic parameter set containing disease space coordinates and disease geometric characteristics; s23, determining a disease-associated member by using a spatial inclusion relation algorithm based on a disease characteristic parameter set and combining with a bridge structure analysis standard, and acquiring a disease member code according to the disease-associated member; s24, classifying the disease characteristic parameter set by adopting a support vector machine algorithm according to the disease metadata system to obtain a disease type; S25, calculating the risk level of the disease based on the disease type and the disease characteristic parameter set according to the quantitative classification threshold value in the disease metadata system; S26, carrying out structured packaging on the disease component codes, the disease types and the risk grades, and generating the spatial position data of the highway bridge diseases.
4. The method for structured collection, tracking and inspection of highway bridge defect data according to claim 3, wherein the step of determining defect association members by using a spatial inclusion relation algorithm based on the defect characteristic parameter set and combined with bridge structure analysis criteria, and obtaining defect member codes according to the defect association members comprises the following steps: s231, converting the point cloud coordinates of the damaged area into a coordinate system of a bridge structure analysis model based on the damaged space coordinates in the damaged characteristic parameter set in combination with the bridge structure analysis standard to obtain converted damaged space coordinates; S232, carrying out component query by utilizing a pre-constructed spatial index structure and combining the converted disease space coordinates, primarily screening out component sets with space boundaries intersected with the disease areas, calculating the space relationship matching cost between the primarily screened components and the disease areas according to space relationship constraint, sorting the components according to the matching cost, and selecting a plurality of components as candidate component sets; s233, judging whether the point cloud coordinates of the disease area are positioned on the surface of the member or not according to a point cloud surface matching algorithm for each candidate member, and generating the overlapping proportion of the point cloud of the disease area and the surface of the member according to a judging result; s234, counting the overlapping proportion of the point cloud of the disease area and the surfaces of the candidate components, and selecting the component with the highest overlapping proportion and exceeding a preset threshold as a disease-associated component; S235, determining the final disease component code according to the disease-associated component and combining the geometric features in the disease feature parameter set.
5. The method for structured collection, tracking and inspection of highway bridge disease data according to claim 4, wherein said method is characterized in that said method comprises the steps of utilizing a pre-constructed spatial index structure, carrying out member query in combination with converted disease space coordinates, preliminarily screening member sets with space boundaries intersecting with the disease areas, calculating space relationship matching costs between the preliminarily screened members and the disease areas according to space relationship constraint, sorting the members according to the matching costs, and selecting a plurality of members as candidate member sets, and comprises the following steps: S2321, carrying out component query by utilizing a pre-constructed spatial index structure based on the converted disease space coordinates, and determining all components intersected with a disease area by calculating a spatial bounding box to form a primary screening component set; S2322, extracting a spatial relation feature vector between each component in the preliminary screening component set and the disease area; s2323, calculating the space relation matching cost of each component and the disease area by using a preset matching cost function based on the space relation feature vector; s2324, carrying out ascending order sequencing on the components in the preliminary screening component set according to the calculated spatial relationship matching cost, and selecting a plurality of components with the minimum matching cost as the candidate component set.
6. The method for structured collection, tracking and inspection of highway bridge disease data according to claim 5, wherein said forming a preliminary screening component set based on transformed disease space coordinates using a pre-constructed spatial index structure for component query and determining all components intersecting a disease area by calculating a spatial bounding box comprises the steps of: S23211, calculating a minimum coordinate point and a maximum coordinate point of a space bounding box of each component in the bridge structure analysis model, and storing the minimum coordinate point and the maximum coordinate point in a pre-constructed space index structure; s23212, converting the converted disease space coordinate set into a space bounding box of a disease area, and calculating a minimum coordinate point and a maximum coordinate point of the disease point cloud coordinate; s23213, querying all components intersected with the disease area bounding box by utilizing a pre-constructed spatial index structure through a spatial bounding box intersection judging algorithm to obtain a query result; S23214, component codes are extracted from the query result, and a preliminary screening component set containing component codes of all intersecting components and space bounding box coordinate information is generated.
7. The method for structured collection, tracking and inspection of highway bridge disease data according to claim 5, wherein for each candidate member, determining whether the disease area point cloud coordinates are located on the member surface by a point cloud surface matching algorithm, and generating the overlapping ratio of the disease area point cloud and the member surface according to the determination result comprises the following steps: s2331, for each candidate component, calculating the shortest space distance from each point in the disease area point cloud to the surface of the component based on the converted disease space coordinates and the surface data of the component; s2332, according to a preset distance tolerance threshold, judging the point with the shortest space distance smaller than or equal to the distance tolerance threshold as a disease point overlapped with the surface of the component; And S2333, counting the number of the disease points judged to be overlapped, and calculating the proportion of the disease points to the total point number of the disease area point cloud as the overlapping proportion of the candidate component and the disease area point cloud.
8. A system for structured collection and tracking inspection of highway bridge defect data, for implementing the method for structured collection and tracking inspection of highway bridge defect data according to any one of claims 1 to 7, comprising: the construction analysis module is used for constructing a bridge structure analysis model based on a BIM technology in advance, analyzing components of the road bridge drawing material and the field actual measurement data which are acquired in advance, and constructing a road bridge structure analysis standard and disease metadata system according to the component analysis result; the system comprises a disease analysis module, a disease classification module, a disease analysis module and a control module, wherein the disease analysis module is used for collecting highway bridge disease data based on a highway bridge structure analysis standard and a disease metadata system and classifying the disease data, performing component coding on a disease classification result based on a preset evaluation standard, and classifying risk grades by evaluating the disease degree to obtain space position data comprising disease component codes, disease types and risk grades; The coordinate conversion construction module is used for constructing a bridge disease model according to the space position data and constructing a coordinate conversion system for disease space positioning by combining the bridge structure analysis model; The visual model generation module is used for fusing the bridge defect model with the bridge structure analysis model based on a coordinate transformation system to generate a bridge defect visual model for presenting the defect position; and the disease prediction evaluation module is used for tracking and comparing and analyzing the disease development state based on the bridge defect visualization model and combining historical disease data, evaluating the disease development trend through the prediction model, and generating bridge maintenance suggestions and repair schemes.
9. An electronic device comprising one or more processors and memory for storing one or more programs, wherein the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the steps of the method of any of claims 1 to 7.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program, wherein the computer program when run controls the execution of the steps of the method according to any of claims 1 to 7 by a device in which the computer readable storage medium is located.

Description

Structured collection and tracking inspection method for highway bridge disease data Technical Field The invention relates to the technical field of establishing data structures, in particular to a method for structured collection, tracking and inspection of highway bridge disease data. Background The highway bridge is used as a key node of a traffic infrastructure, and the structural safety and long-acting operation of the highway bridge are important. The traditional bridge disease inspection mainly relies on manual visual inspection and simple tool measurement, and disease information is mostly described by natural language and is recorded in paper or electronic forms by assistance of photos. The method has inherent defects of fuzzy disease description, inaccurate spatial positioning, low data standardization degree and the like, so that disease information is difficult to accurately understand and efficiently use by a computer. Currently, with the development of digital technologies such as three-dimensional laser scanning, photogrammetry and BIM, some researches start to try to apply new technologies to bridge inspection. For example, surface deformation analysis is performed using point cloud data, or asset information management is performed based on a BIM model. However, the prior art scheme often has the following limitations that a bridge member coding system, disease classification and description specifications and a coordinate positioning standard which penetrate through the whole process of data acquisition, processing, analysis and application are established, so that the data consistency is poor, and the automatic processing, the data comparison and accumulation of the cross period and the cross item are difficult to realize. Most methods still stay in the disease discovery and recording stage, and cannot effectively utilize historical data to track the disease development state and predict the trend, and intelligent maintenance decision support based on the prediction result. For the problems in the related art, no effective solution has been proposed at present. Disclosure of Invention In view of the above, the present invention provides a method for structured collection and tracking inspection of highway bridge disease data, so as to solve the above-mentioned problems. In order to solve the problems, the invention adopts the following specific technical scheme: according to a first aspect of the present invention, there is provided a method for structured collection and tracking inspection of highway bridge disease data, the method comprising the steps of: S1, constructing a bridge structure analysis model based on a BIM technology in advance, analyzing components of a road bridge drawing material and field actual measurement data which are acquired in advance, and constructing a road bridge structure analysis standard and disease metadata system according to component analysis results; S2, collecting highway bridge disease data based on a highway bridge structure analysis standard and a disease metadata system, and classifying the disease data, performing component coding on a disease classification result based on a preset evaluation standard, and classifying risk grades by evaluating the disease degree to obtain space position data comprising disease component codes, disease types and risk grades; S3, constructing a bridge disease model according to the space position data, and constructing a coordinate conversion system for disease space positioning by combining a bridge structure analysis model; S4, fusing the bridge defect model and the bridge structure analysis model based on a coordinate conversion system to generate a bridge defect visualization model for presenting the defect position; S5, tracking and comparing analysis of disease development states are carried out based on the bridge defect visualization model and combined with historical disease data, and the disease development trend is estimated through the prediction model, so that bridge maintenance suggestions and repair schemes are generated. Preferably, the construction of the bridge structure analysis model based on the BIM technology in advance, the component analysis of the pre-obtained road bridge drawing material and the on-site actual measurement data, and the construction of the road bridge structure analysis standard and disease metadata system according to the component analysis result comprise the following steps: S11, acquiring road bridge drawing materials and field actual measurement data, and constructing a bridge structure analysis model by using BIM software based on the road bridge drawing materials; S12, carrying out component analysis on the road bridge structure analysis model, and determining an origin coordinate system of a component surface by extracting component characteristics to form a construction analysis result containing component coding rules and component hierarchical relations; s13, c