Cable-stayed bridge construction parameter performance monitoring system and method

Abstract

The invention provides a cable-stayed bridge construction parameter performance monitoring system and method. The system comprises a first acquisition module for acquiring area information of a cable-stayed bridge construction area; the screening module divides the construction area according to the area information and screens out target sub-areas; the first determination module determines health information of each key component of the cable-stayed bridge and connection information between the key components; the generation module generates a visual three-dimensional vector entity model; a second acquisition module acquires the construction behavior monitoring data of the cable-stayed bridge and the construction scene monitoring data of the construction area of the cable-stayed bridge in the target sub-area; and the filling module performs data filling on the visual three-dimensional vector entity model according to the construction behavior monitoring data and the construction scene monitoring data to obtain a BIM model, and monitors the construction parameter performance of the cable-stayed bridge based on the BIM model. The construction parameter performance of the cable-stayed bridge can be accurately monitored, and the construction problem and the construction risk can be timely determined and visually displayed.

Description

Technical Field

[0001] The present invention relates to the field of monitoring technology, and in particular to a cable-stayed bridge construction parameter performance monitoring system and method. Background Art

[0002] During the construction of cable-stayed bridges, the existing construction monitoring method collects on-site data and conducts manual analysis, which cannot timely identify construction problems and construction risks, and there is no intuitive display of the consequences of construction risks. It only focuses on monitoring the performance of construction parameters in the core area where the cable-stayed bridge is located, lacks regional monitoring of the entire area where the cable-stayed bridge is located, and cannot fully consider the impact of other areas and scenarios on the performance of construction parameters in the core area where the cable-stayed bridge is located. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems in the above-mentioned technology to a certain extent. To this end, the first purpose of the present invention is to propose a cable-stayed bridge construction parameter performance monitoring system, accurately monitor the construction parameter performance of the cable-stayed bridge, timely determine construction problems and construction risks, and display them intuitively, obtain a BIM model based on the regional monitoring of the entire area where the cable-stayed bridge is located and the monitoring of the core area where the cable-stayed bridge is located, and realize comprehensive monitoring of the construction parameter performance of the cable-stayed bridge based on the BIM model, and fully consider the influence of other areas and scenes on the construction parameter performance of the core area where the cable-stayed bridge is located.

[0004] The second object of the present invention is to provide a method for monitoring the performance of cable-stayed bridge construction parameters.

[0005] To achieve the above object, a first embodiment of the present invention provides a cable-stayed bridge construction parameter performance monitoring system, comprising: A first acquisition module is used to acquire regional information of a cable-stayed bridge construction area; A screening module is used to divide the construction area according to the area information and determine the attribute information of each sub-area; and screen out the target sub-area according to the attribute information of each sub-area; wherein the target sub-area is the core area where the cable-stayed bridge is located; The first determination module is used to determine the health information of each key component of the cable-stayed bridge and the connection information between each key component in the core area; A generation module is used to generate a visual three-dimensional vector solid model based on regional information, health information of key components of the cable-stayed bridge, and connection information between key components; The second acquisition module is used to acquire the construction behavior monitoring data of the cable-stayed bridge in the target sub-area and the construction scene monitoring data of the cable-stayed bridge construction area; The filling module is used to fill the visualized three-dimensional vector entity model with data according to the construction behavior monitoring data and the construction scene monitoring data to obtain the BIM model, and monitor the construction parameter performance of the cable-stayed bridge based on the BIM model.

[0006] According to some embodiments of the present invention, the first acquisition module includes: Air detection module for: Acquire aerial detection images based on a camera included in the aerial detection equipment; Based on the laser radar included in the aerial detection equipment, point cloud data is obtained; Matching the aerial detection image and the point cloud data to obtain first area information; Ground detection module for: According to the location of the construction buildings in the cable-stayed bridge construction area and the parameters to be measured, the measurement benchmark points are planned to obtain a distribution map of the measurement benchmark points; Receiving second area information sent by a ground measurement device corresponding to a corresponding reference point in a measurement reference point distribution map; The fusion module is used to fuse the first area information and the second area information to obtain the area information of the cable-stayed bridge construction area.

[0007] According to some embodiments of the present invention, the aerial detection module matches the aerial detection image and the point cloud data to obtain the first area information, including: The time matching module is used to execute a synchronous sampling instruction on the camera and the laser radar included in the aerial detection equipment to obtain synchronous sampling time data; based on the synchronous sampling time data and based on the time registration method, the aerial detection image and the point cloud data are time-matched to obtain a first matching result; The spatial matching module is used to process the point cloud data based on the deep sampling technology to obtain a processed image; determine the first bounding box of the processed image and the second bounding box of the aerial detection image, and calculate the intersection and union ratio of the first bounding box and the second bounding box; select the first bounding box and the second bounding box whose intersection and union ratio is greater than a preset threshold as a reference fusion group; perform spatial matching on the processed image and the aerial detection image according to a plurality of reference fusion groups to obtain a second matching result; The second determining module is used to determine the first region information according to the first matching result and the second matching result.

[0008] According to some embodiments of the present invention, the first determining module includes: The first scanning module is used for: Scanning each key component of the cable-stayed bridge to obtain several first scan images; The size information and shape information of the key component are determined according to the first scan image; and the preset data table is queried according to the size information and shape information to obtain the health information of the key component.

[0009] According to some embodiments of the present invention, the first determining module further includes: The second scanning module is used for: Scanning the connection areas of key components in the cable-stayed bridge to obtain a number of second scan images; Determine the key points in the second scan image based on the corner detection algorithm, calculate the SIFT descriptors of the key points, match them according to the similarity between the SIFT descriptors of the key points, and determine the target key components; According to the relative positions and directions between the target key components, the geometric relationships between them are analyzed, the target key components are regarded as nodes, the connections between the target key components are regarded as edges, and a graph structure is constructed to determine the connection information between the key components.

[0010] According to some embodiments of the present invention, the generating module comprises: The first creation module is used to create an initial three-dimensional terrain model of the region according to the regional information and add natural elements to obtain a target three-dimensional terrain model; The second creation module is used to model key components according to the design drawings and create the main structure of the cable-stayed bridge; integrate the health information of each key component of the cable-stayed bridge into the target three-dimensional terrain model in the form of color coding, texture mapping or data labels, determine the connection method based on the connection information between each key component and integrate it into the target three-dimensional terrain model to obtain a visual three-dimensional vector solid model.

[0011] According to some embodiments of the present invention, the second creation module is used to model key components according to the design drawings, including: The first detection module is used to perform contour detection on the design drawing to determine contour information representing key components; A second detection module is used to perform lead direction detection on the design drawing, determine the lead direction information representing the key component, and determine the identifier corresponding to the key component based on the contour information and the lead routing information; The identification module is used to identify the attribute information of the key components, determine the parameter information of the key components according to the attribute information and the identifier, and model the key components according to the parameter information.

[0012] According to some embodiments of the present invention, the first acquisition module further includes: The filtering module is used to filter the aerial detection image before matching the aerial detection image with the point cloud data to obtain the filtered aerial detection image.

[0013] According to some embodiments of the present invention, the filling module comprises: A first filling module is used to fill the construction behavior monitoring data into the visualized three-dimensional vector entity model based on the behavior monitoring position, and obtain the first node of the construction behavior monitoring data on the visualized three-dimensional vector entity model; A second filling module is used to fill the construction scene monitoring data into the visualized three-dimensional vector entity model based on the scene monitoring position, and obtain a second node of the construction scene monitoring data on the visualized three-dimensional vector entity model; The calculation module is used to calculate the distance between the first node and the second node, filter out the first node and the second node whose distance is less than a preset distance and package them as a group of associated nodes; and generate a BIM model according to the groups of associated nodes.

[0014] To achieve the above object, a second embodiment of the present invention provides a method for monitoring the performance of cable-stayed bridge construction parameters, comprising: Get the regional information of the cable-stayed bridge construction area; The construction area is divided according to the area information, and the attribute information of each sub-area is determined; the target sub-area is screened out according to the attribute information of each sub-area; wherein the target sub-area is the core area where the cable-stayed bridge is located; Determine the health information of each key component of the cable-stayed bridge and the connection information between each key component in the core area; Generate a visual 3D vector entity model based on the regional information, the health information of each key component of the cable-stayed bridge, and the connection information between each key component; Acquire the construction behavior monitoring data of the cable-stayed bridge in the target sub-area and the construction scene monitoring data of the cable-stayed bridge construction area; The visualized three-dimensional vector solid model is filled with data according to the construction behavior monitoring data and the construction scene monitoring data to obtain the BIM model, and the construction parameter performance of the cable-stayed bridge is monitored based on the BIM model.

[0015] The present invention proposes a cable-stayed bridge construction parameter performance monitoring system and method, which can accurately monitor the construction parameter performance of the cable-stayed bridge, timely determine construction problems and construction risks, and display them intuitively. According to the regional monitoring of the entire area where the cable-stayed bridge is located and the monitoring of the core area where the cable-stayed bridge is located, a BIM model is obtained, and comprehensive monitoring of the construction parameter performance of the cable-stayed bridge is achieved based on the BIM model, fully considering the influence of other areas and scenarios on the construction parameter performance of the core area where the cable-stayed bridge is located.

[0016] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0017] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 is a block diagram of a cable-stayed bridge construction parameter performance monitoring system according to an embodiment of the present invention; Figure 2 is a block diagram of a first acquisition module according to an embodiment of the present invention; Figure 3 It is a flow chart of a method for monitoring performance of cable-stayed bridge construction parameters according to an embodiment of the present invention. DETAILED DESCRIPTION

[0019] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0020] like Figure 1 As shown, the first embodiment of the present invention provides a cable-stayed bridge construction parameter performance monitoring system, including: A first acquisition module is used to acquire regional information of a cable-stayed bridge construction area; A screening module is used to divide the construction area according to the area information and determine the attribute information of each sub-area; and screen out the target sub-area according to the attribute information of each sub-area; wherein the target sub-area is the core area where the cable-stayed bridge is located; The first determination module is used to determine the health information of each key component of the cable-stayed bridge and the connection information between each key component in the core area; A generation module is used to generate a visual three-dimensional vector solid model based on regional information, health information of key components of the cable-stayed bridge, and connection information between key components; The second acquisition module is used to acquire the construction behavior monitoring data of the cable-stayed bridge in the target sub-area and the construction scene monitoring data of the cable-stayed bridge construction area; The filling module is used to fill the visualized three-dimensional vector entity model with data according to the construction behavior monitoring data and the construction scene monitoring data to obtain the BIM model, and monitor the construction parameter performance of the cable-stayed bridge based on the BIM model.

[0021] The working principle of the above technical solution is as follows: The first acquisition module is responsible for collecting detailed regional information of the cable-stayed bridge construction area, such as geographical location, topography, climate conditions, etc., to provide basic data for the subsequent construction area division and model establishment. The screening module divides the construction area scientifically and reasonably according to the regional information provided by the first acquisition module, and determines the attribute information of each sub-area (such as soil type, hydrological conditions, etc.), from which the core area where the cable-stayed bridge is located is screened. Ensure the accurate identification of the core area to lay the foundation for the subsequent health monitoring and connection information analysis of key components. The first determination module determines the health status information of each key component of the cable-stayed bridge (such as tower, main beam, cable, etc.) and the connection relationship between them in detail in the core area, providing key data for generating an accurate three-dimensional vector entity model. The generation module generates a visual three-dimensional vector entity model based on the regional information, health information and connection information of key components, providing an intuitive and comprehensive virtual representation of the cable-stayed bridge construction area and key components for easy monitoring and management. The second acquisition module collects the construction behavior monitoring data (such as construction progress, personnel activities, etc.) of the cable-stayed bridge in the target sub-area and the real-time monitoring data of the construction scene (such as video monitoring), providing a data source for the real-time update and data analysis of the BIM model. The filling module integrates the construction behavior monitoring data and construction scene monitoring data collected by the second acquisition module into the previously generated three-dimensional vector solid model to form a complete BIM model. Based on the BIM model, the real-time monitoring and performance evaluation of the construction parameters of the cable-stayed bridge are realized to improve the construction efficiency and quality. By integrating multiple functional modules, comprehensive and real-time monitoring and management of the cable-stayed bridge construction area are realized, which improves the safety and efficiency of construction.

[0022] The beneficial effects of the above technical solution are: accurately monitoring the construction parameter performance of the cable-stayed bridge, timely determining construction problems and construction risks, and displaying them intuitively; obtaining a BIM model based on regional monitoring of the entire area where the cable-stayed bridge is located and monitoring of the core area where the cable-stayed bridge is located; and realizing comprehensive monitoring of the construction parameter performance of the cable-stayed bridge based on the BIM model, taking full account of the impact of other areas and scenarios on the construction parameter performance of the core area where the cable-stayed bridge is located.

[0023] like Figure 2 As shown, according to some embodiments of the present invention, the first acquisition module includes: Air detection module for: Based on the camera included in the aerial detection equipment, an aerial detection image is acquired; Based on the laser radar included in the aerial detection equipment, point cloud data is obtained; Matching the aerial detection image and the point cloud data to obtain first area information; Ground detection module for: According to the location of the construction buildings in the cable-stayed bridge construction area and the parameters to be measured, the measurement benchmark points are planned to obtain a distribution map of the measurement benchmark points; Receiving second area information sent by a ground measurement device corresponding to a corresponding reference point in a measurement reference point distribution map; The fusion module is used to fuse the first area information and the second area information to obtain the area information of the cable-stayed bridge construction area.

[0024] The working principle and beneficial effects of the above technical solution: The aerial detection module uses advanced equipment such as high-definition cameras and laser radars mounted on drones or other flying platforms to conduct aerial detection of the cable-stayed bridge construction area. Based on the camera, high-definition aerial detection images of the construction area are captured. These images can provide intuitive visual information of the construction area, such as building layout, construction progress, etc. Using laser radar technology, a laser beam is emitted and its reflected signal is received, and the distance and position of the target object are accurately measured by calculating the round-trip time of the signal to generate point cloud data. The point cloud data contains the three-dimensional geometric information of the construction area and can accurately reflect details such as terrain and building structure. The aerial detection image and point cloud data are matched and processed, and the visual features in the image are combined with the geometric features in the point cloud to improve the accuracy and completeness of regional information extraction. Through this process, the first regional information is obtained, including the topography of the construction area, the precise location and shape of the building, etc. The ground detection module focuses on planning and implementing ground measurements according to the specific needs of the cable-stayed bridge construction area to obtain more detailed regional information. According to the location of the construction building and the required parameters to be measured (such as height, angle, distance, etc.), the layout of the measurement benchmark points is reasonably planned. These benchmarks will be used as reference points for ground measurement to ensure the accuracy and consistency of the measurement results. The planned measurement benchmarks are represented in a graphical form to generate a measurement benchmark distribution map. This map will serve as a guide for ground measurement work to ensure the orderly progress of the measurement work. Receive the second area information sent by the ground measurement equipment (such as total station, GPS receiver, etc.) set at the corresponding benchmark in the measurement benchmark distribution map. This information includes accurate coordinate position, elevation data, and possible building size. The fusion module is responsible for integrating the first area information obtained by the aerial detection module and the second area information obtained by the ground detection module to obtain more comprehensive and accurate cable-stayed bridge construction area information. Advanced data fusion algorithms and technical means are used to accurately match and integrate the first area information and the second area information. Comprehensively consider the advantages and limitations of aerial detection and ground detection to ensure that the fused regional information has both a wide coverage and a high degree of accuracy. After fusion processing, the comprehensive regional information of the cable-stayed bridge construction area is generated. This information will include the topography of the construction area, the precise location and shape of the building, the progress of construction, and other aspects, providing strong data support for construction management and decision-making. Through the collaborative work of the aerial detection module, the ground detection module and the fusion module, all-round, high-precision monitoring and management of the cable-stayed bridge construction area can be achieved.

[0025] According to some embodiments of the present invention, the aerial detection module matches the aerial detection image and the point cloud data to obtain the first area information, including: The time matching module is used to execute a synchronous sampling instruction on the camera and the laser radar included in the aerial detection equipment to obtain synchronous sampling time data; based on the synchronous sampling time data and based on the time registration method, the aerial detection image and the point cloud data are time-matched to obtain a first matching result; The spatial matching module is used to process the point cloud data based on the deep sampling technology to obtain a processed image; determine the first bounding box of the processed image and the second bounding box of the aerial detection image, and calculate the intersection and union ratio of the first bounding box and the second bounding box; select the first bounding box and the second bounding box whose intersection and union ratio is greater than a preset threshold as a reference fusion group; perform spatial matching on the processed image and the aerial detection image according to a plurality of reference fusion groups to obtain a second matching result; The second determining module is used to determine the first region information according to the first matching result and the second matching result.

[0026] Working principle and beneficial effects of the above technical solution: The main task of the time matching module is to ensure that the data collected by the aerial detection equipment (including cameras and laser radars) are synchronized in time for subsequent data processing and analysis. Synchronous sampling instruction execution: Send synchronous sampling instructions to the camera and laser radar of the aerial detection equipment to ensure that both start data collection at the same time point. Synchronous sampling time data acquisition: Record the synchronous sampling time points of the camera and laser radar to generate synchronous sampling time data. Using the time registration method, the aerial detection image and the point cloud data are temporally matched according to the synchronous sampling time data to ensure the corresponding relationship between the two on the time axis. After the time matching process, the first matching result is generated, that is, the aerial detection image and point cloud data corresponding in time. The main task of the spatial matching module is to spatially match the processed point cloud data with the aerial detection image to ensure the corresponding relationship between the two in spatial position. Point cloud data processing: Apply deep sampling technology to the point cloud data to process it and generate a processing map. Determine the first bounding box and the second bounding box on the processing map and the aerial detection image respectively. Calculate the intersection over union (IoU) of the first bounding box and the second bounding box, that is, the ratio of the overlapping part to the union part of the two. Filter out the first bounding box and the second bounding box whose IoU is greater than the preset threshold as the reference fusion group. According to several reference fusion groups, spatially match the processed image with the aerial detection image. Generate the second matching result, that is, the spatially corresponding processed image and aerial detection image. The main task of the second determination module is to determine the first area information of the cable-stayed bridge construction area based on the output results of the time matching module and the space matching module. Combine the first matching result (the aerial detection image and point cloud data corresponding in time) and the second matching result (the processed image and aerial detection image corresponding in space) to determine the first area information of the cable-stayed bridge construction area, and provide data support for subsequent construction management and decision-making.

[0027] According to some embodiments of the present invention, the first determining module includes: The first scanning module is used for: Scanning each key component of the cable-stayed bridge to obtain several first scan images; The size information and shape information of the key component are determined according to the first scan image; and the preset data table is queried according to the size information and shape information to obtain the health information of the key component.

[0028] The working principle and beneficial effects of the above technical solution: The first scanning module uses advanced scanning technology (laser scanning, three-dimensional scanning, etc.) to perform a comprehensive and detailed scan of each key component of the cable-stayed bridge. During the scanning process, the detailed geometric features and surface conditions of the components are captured, and several high-precision first scan images are generated. Based on the first scan image, the size information of the key components, such as length, width, height, etc., is accurately measured using image processing technology. At the same time, the shape information of the components, including contour, curvature, angle, etc., is extracted to fully describe the geometric features of the components. The extracted size information and shape information of the key components are matched and queried with the preset data table. The preset data table contains the standard size and shape information of various key components in different health states. By comparison, the health status of the current key components can be evaluated, such as whether there are deformation, wear, cracks and other problems. The first scanning module can accurately obtain the size and shape information of the key components of the cable-stayed bridge through high-precision scanning technology and image processing algorithms, and evaluate the health status of the components based on this information. This provides important data support for subsequent construction monitoring and maintenance decisions.

[0029] According to some embodiments of the present invention, the first determining module further includes: The second scanning module is used for: Scanning the connection areas of key components in the cable-stayed bridge to obtain a number of second scan images; Determine the key points in the second scan image based on the corner detection algorithm, calculate the SIFT descriptors of the key points, match them according to the similarity between the SIFT descriptors of the key points, and determine the target key components; According to the relative positions and directions between the target key components, the geometric relationships between them are analyzed, the target key components are regarded as nodes, the connections between the target key components are regarded as edges, and a graph structure is constructed to determine the connection information between the key components.

[0030] The working principle and beneficial effects of the above technical solution: The second scanning module uses high-precision scanning equipment to scan the connection area of ​​each key component in the cable-stayed bridge to capture the detailed geometric features and surface conditions of the connection. Generate several second scans, each of which reflects the specific perspective and details of the connection area. Apply the corner detection algorithm to identify the key points in the second scan, which are the feature points of the connection area, such as corners, edge intersections, etc. Calculate the SIFT (Scale Invariant Feature Transform) descriptor for each key point, which is a unique feature vector used to describe the local image structure around the key point. By comparing the similarity between the SIFT descriptors of different key points, match the key points to determine which key points belong to different perspectives of the same actual connection area. According to the matched key points, determine the target key components, that is, those key components that are related to each other through the connection area. Analyze the relative position and direction between the target key components to reveal their geometric relationships, such as relative distances, angles, etc. Treat the target key components as nodes and the connections between them as edges to construct a graph structure. This graph structure intuitively represents the connection information between the key components of the cable-stayed bridge, providing important data support for subsequent construction monitoring and structural analysis. The second scanning module can accurately extract and analyze the connection information between the key components of the cable-stayed bridge through high-precision scanning technology, advanced image processing algorithms and graph structure analysis methods. This provides an important basis for construction monitoring, structural health assessment and maintenance decision-making.

[0031] According to some embodiments of the present invention, the generating module comprises: The first creation module is used to create an initial three-dimensional terrain model of the region according to the regional information and add natural elements to obtain a target three-dimensional terrain model; The second creation module is used to model key components according to the design drawings and create the main structure of the cable-stayed bridge; integrate the health information of each key component of the cable-stayed bridge into the target three-dimensional terrain model in the form of color coding, texture mapping or data labels, determine the connection method based on the connection information between each key component and integrate it into the target three-dimensional terrain model to obtain a visual three-dimensional vector solid model.

[0032] The working principle and beneficial effects of the above technical solution are as follows: The first creation module relies on regional information and uses 3D modeling technology to build an initial 3D terrain model that reflects the actual terrain and landforms. This model provides a basic framework for the subsequent addition of natural elements and cable-stayed bridge structures. Natural elements such as vegetation, water systems, and landform features are integrated into the initial 3D terrain model to enhance the realism and immersion of the model. A more realistic target 3D terrain model is obtained by adding fine natural elements. The second creation module uses 3D modeling software to accurately create models of key components of the cable-stayed bridge according to the design drawings. These component models include bridge towers, main beams, cables, etc., which are finely modeled according to the size and shape of the design drawings. The models of each key component are combined according to the assembly relationship of the design drawings to form the main structure model of the cable-stayed bridge. Ensure that the geometry, size, and proportion of the main structure model are consistent with the actual cable-stayed bridge. The health information of each key component is integrated into the target 3D terrain model in an intuitive form (such as color coding, texture mapping, or data labels). With this information, users can quickly understand the health status of key components, such as green for good and red for maintenance. According to the connection information between each key component, determine their connection mode in the 3D model. Integrate these connection modes into the target 3D terrain model in a graphical form to form a complete visual 3D vector entity model. This model not only shows the topography and main structure of the cable-stayed bridge, but also intuitively presents the health status and connection mode of key components. The first creation module and the second creation module together constitute the core modeling part of the cable-stayed bridge construction management and monitoring system. Through sophisticated 3D modeling and integration technology, they provide users with an intuitive and comprehensive visual 3D vector entity model of a cable-stayed bridge.

[0033] According to some embodiments of the present invention, the second creation module is used to model key components according to the design drawings, including: The first detection module is used to perform contour detection on the design drawing to determine contour information representing key components; A second detection module is used to perform lead direction detection on the design drawing, determine the lead direction information representing the key component, and determine the identifier corresponding to the key component based on the contour information and the lead routing information; The identification module is used to identify the attribute information of the key components, determine the parameter information of the key components according to the attribute information and the identifier, and model the key components according to the parameter information.

[0034] The working principle and beneficial effects of the above technical solution: The second creation module is responsible for accurately creating the key component model of the cable-stayed bridge according to the design drawings. It extracts the necessary information to build the three-dimensional model of these components through contour detection, lead direction detection and attribute recognition of key components. The first detection module (contour detection) performs detailed contour detection on the design drawings and identifies the contour information representing the key components. The contour information includes the shape and boundary of the component, which is the basis for building a three-dimensional model. The second detection module (lead direction detection) performs lead direction detection on the design drawings to determine the lead direction information representing the key components. The lead direction information reflects the connection relationship between components, the position of the component in the overall structure, etc. Combined with the contour information and lead direction information, the unique identifier corresponding to the key component is determined for accurate reference in the subsequent modeling process. The recognition module (attribute information recognition) identifies the attribute information of the key component, such as material, size, weight, etc. According to the attribute information and the previously determined identifier, the complete parameter information of the key component is determined. Using these parameter information, the three-dimensional modeling technology is used to accurately create the three-dimensional model of the key component. The second creation module can comprehensively and accurately extract the necessary information of key components from the design drawings through the functions of sub-modules such as contour detection, lead direction detection and attribute information recognition, and create a precise three-dimensional model based on this information.

[0035] According to some embodiments of the present invention, the first acquisition module further includes: The filtering module is used to filter the aerial detection image before matching the aerial detection image with the point cloud data to obtain the filtered aerial detection image.

[0036] The beneficial effects of the above technical solution are: it is easy to obtain accurate aerial detection images and to improve the accuracy of matching aerial detection images with point cloud data.

[0037] According to some embodiments of the present invention, the filling module comprises: A first filling module is used to fill the construction behavior monitoring data into the visualized three-dimensional vector entity model based on the behavior monitoring position, and obtain the first node of the construction behavior monitoring data on the visualized three-dimensional vector entity model; A second filling module is used to fill the construction scene monitoring data into the visualized three-dimensional vector entity model based on the scene monitoring position, and obtain a second node of the construction scene monitoring data on the visualized three-dimensional vector entity model; The calculation module is used to calculate the distance between the first node and the second node, filter out the first node and the second node whose distance is less than a preset distance and package them as a group of associated nodes; and generate a BIM model according to the groups of associated nodes.

[0038] The working principle and beneficial effects of the above technical solution are as follows: the first filling module fills the construction behavior monitoring data into the visualized three-dimensional vector entity model based on the behavior monitoring position, and obtains the first node of the construction behavior monitoring data on the visualized three-dimensional vector entity model; the first node contains detailed information of the construction behavior. The second filling module fills the construction scene monitoring data into the visualized three-dimensional vector entity model based on the scene monitoring position, and obtains the second node of the construction scene monitoring data on the visualized three-dimensional vector entity model; the second node contains detailed information of the construction scene. The spatial distance between the first node and the second node is calculated based on the Euclidean distance in the three-dimensional space. The first node and the second node whose distance is less than the preset distance are screened out. These nodes are regarded as associated nodes and packaged to form a group of associated nodes. According to several groups of associated nodes, a BIM model is generated using the building information model (BIM) technology. The BIM model integrates the construction behavior monitoring data and the construction scene monitoring data, and provides comprehensive information support for construction management and monitoring. The first filling module and the second filling module are responsible for filling the construction monitoring data into the visualized three-dimensional vector entity model to form nodes. The calculation module is responsible for calculating the distance between the nodes, screening out the associated nodes, and generating the BIM model based on these nodes. This series of processes realizes the three-dimensional visualization and integrated management of construction monitoring data.

[0039] like Figure 3 As shown, the second embodiment of the present invention proposes a method for monitoring the performance of cable-stayed bridge construction parameters, including steps S1-S6: S1. Obtaining regional information of the cable-stayed bridge construction area; S2. Divide the construction area according to the area information and determine the attribute information of each sub-area; select the target sub-area according to the attribute information of each sub-area; wherein the target sub-area is the core area where the cable-stayed bridge is located; S3. Determine the health information of each key component of the cable-stayed bridge and the connection information between each key component in the core area; S4, generating a visualized three-dimensional vector entity model according to the regional information, the health information of each key component of the cable-stayed bridge, and the connection information between each key component; S5. Acquire the construction behavior monitoring data of the cable-stayed bridge in the target sub-area and the construction scene monitoring data of the cable-stayed bridge construction area; S6. Fill the visualized three-dimensional vector entity model with data according to the construction behavior monitoring data and the construction scene monitoring data to obtain a BIM model, and monitor the construction parameter performance of the cable-stayed bridge based on the BIM model.

[0040] The beneficial effects of the above technical solution are: accurately monitoring the construction parameter performance of the cable-stayed bridge, timely determining construction problems and construction risks, and displaying them intuitively; obtaining a BIM model based on regional monitoring of the entire area where the cable-stayed bridge is located and monitoring of the core area where the cable-stayed bridge is located; and realizing comprehensive monitoring of the construction parameter performance of the cable-stayed bridge based on the BIM model, taking full account of the impact of other areas and scenarios on the construction parameter performance of the core area where the cable-stayed bridge is located.

[0041] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A cable-stayed bridge construction parameter performance monitoring system, characterized in that: include: A first acquisition module is used to acquire regional information of a cable-stayed bridge construction area; A screening module is used to divide the construction area according to the area information and determine the attribute information of each sub-area; and screen out the target sub-area according to the attribute information of each sub-area; wherein the target sub-area is the core area where the cable-stayed bridge is located; The first determination module is used to determine the health information of each key component of the cable-stayed bridge and the connection information between each key component in the core area; A generation module is used to generate a visual three-dimensional vector solid model based on regional information, health information of key components of the cable-stayed bridge, and connection information between key components; The second acquisition module is used to acquire the construction behavior monitoring data of the cable-stayed bridge in the target sub-area and the construction scene monitoring data of the cable-stayed bridge construction area; The filling module is used to fill the visualized three-dimensional vector entity model with data according to the construction behavior monitoring data and the construction scene monitoring data to obtain the BIM model, and monitor the construction parameter performance of the cable-stayed bridge based on the BIM model.

2. The cable-stayed bridge construction parameter performance monitoring system according to claim 1, characterized in that: The first acquisition module includes: Air detection module for: Acquire aerial detection images based on a camera included in the aerial detection equipment; Based on the laser radar included in the aerial detection equipment, point cloud data is obtained; Matching the aerial detection image and the point cloud data to obtain first area information; Ground detection module for: According to the location of the construction buildings in the cable-stayed bridge construction area and the parameters to be measured, the measurement benchmark points are planned to obtain a distribution map of the measurement benchmark points; Receiving second area information sent by a ground measurement device corresponding to a corresponding reference point in a measurement reference point distribution map; The fusion module is used to fuse the first area information and the second area information to obtain the area information of the cable-stayed bridge construction area.

3. The cable-stayed bridge construction parameter performance monitoring system according to claim 2, characterized in that: The aerial detection module matches the aerial detection image and the point cloud data to obtain first area information, including: The time matching module is used to execute a synchronous sampling instruction on the camera and the laser radar included in the aerial detection equipment to obtain synchronous sampling time data; based on the synchronous sampling time data and based on the time registration method, the aerial detection image and the point cloud data are time-matched to obtain a first matching result; The spatial matching module is used to process the point cloud data based on the deep sampling technology to obtain a processed image; determine the first bounding box of the processed image and the second bounding box of the aerial detection image, and calculate the intersection and union ratio of the first bounding box and the second bounding box; select the first bounding box and the second bounding box whose intersection and union ratio is greater than a preset threshold as a reference fusion group; perform spatial matching on the processed image and the aerial detection image according to a plurality of reference fusion groups to obtain a second matching result; The second determining module is used to determine the first region information according to the first matching result and the second matching result.

4. The cable-stayed bridge construction parameter performance monitoring system according to claim 1, characterized in that: The first determining module includes: The first scanning module is used for: Scanning each key component of the cable-stayed bridge to obtain several first scan images; The size information and shape information of the key component are determined according to the first scan image; and the preset data table is queried according to the size information and shape information to obtain the health information of the key component.

5. The cable-stayed bridge construction parameter performance monitoring system according to claim 4, characterized in that: The first determining module further includes: The second scanning module is used for: Scanning the connection areas of key components in the cable-stayed bridge to obtain a number of second scan images; Determine the key points in the second scan image based on the corner detection algorithm, calculate the SIFT descriptors of the key points, match them according to the similarity between the SIFT descriptors of the key points, and determine the target key components; According to the relative positions and directions between the target key components, the geometric relationships between them are analyzed, the target key components are regarded as nodes, the connections between the target key components are regarded as edges, and a graph structure is constructed to determine the connection information between the key components.

6. The cable-stayed bridge construction parameter performance monitoring system according to claim 4, characterized in that: The generating module comprises: The first creation module is used to create an initial three-dimensional terrain model of the region according to the regional information and add natural elements to obtain a target three-dimensional terrain model; The second creation module is used to model key components according to the design drawings and create the main structure of the cable-stayed bridge; integrate the health information of each key component of the cable-stayed bridge into the target three-dimensional terrain model in the form of color coding, texture mapping or data labels, determine the connection method based on the connection information between each key component and integrate it into the target three-dimensional terrain model to obtain a visual three-dimensional vector solid model.

7. The cable-stayed bridge construction parameter performance monitoring system according to claim 6, characterized in that: The second creation module is used to model key components according to the design drawings, including: The first detection module is used to perform contour detection on the design drawing to determine contour information representing key components; A second detection module is used to perform lead direction detection on the design drawing, determine the lead direction information representing the key component, and determine the identifier corresponding to the key component based on the contour information and the lead routing information; The identification module is used to identify the attribute information of the key components, determine the parameter information of the key components according to the attribute information and the identifier, and model the key components according to the parameter information.

8. The cable-stayed bridge construction parameter performance monitoring system according to claim 2, characterized in that: The first acquisition module further includes: The filtering module is used to filter the aerial detection image before matching the aerial detection image with the point cloud data to obtain the filtered aerial detection image.

9. The cable-stayed bridge construction parameter performance monitoring system according to claim 2, characterized in that: The filling module comprises: A first filling module is used to fill the construction behavior monitoring data into the visualized three-dimensional vector entity model based on the behavior monitoring position, and obtain the first node of the construction behavior monitoring data on the visualized three-dimensional vector entity model; A second filling module is used to fill the construction scene monitoring data into the visualized three-dimensional vector entity model based on the scene monitoring position, and obtain a second node of the construction scene monitoring data on the visualized three-dimensional vector entity model; The calculation module is used to calculate the distance between the first node and the second node, filter out the first node and the second node whose distance is less than a preset distance and package them as a group of associated nodes; and generate a BIM model according to the groups of associated nodes.

10. A method for monitoring the performance of cable-stayed bridge construction parameters, characterized in that: include: Get the regional information of the cable-stayed bridge construction area; The construction area is divided according to the area information, and the attribute information of each sub-area is determined; the target sub-area is screened out according to the attribute information of each sub-area; wherein the target sub-area is the core area where the cable-stayed bridge is located; Determine the health information of each key component of the cable-stayed bridge and the connection information between each key component in the core area; Generate a visual 3D vector entity model based on the regional information, the health information of each key component of the cable-stayed bridge, and the connection information between each key component; Acquire the construction behavior monitoring data of the cable-stayed bridge in the target sub-area and the construction scene monitoring data of the cable-stayed bridge construction area; The visualized three-dimensional vector solid model is filled with data according to the construction behavior monitoring data and the construction scene monitoring data to obtain the BIM model, and the construction parameter performance of the cable-stayed bridge is monitored based on the BIM model.

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