Construction positioning method and system of simulation equipment in steel bridge deck pavement twin scene

Abstract

The invention relates to the technical field of road engineering, in particular to a construction positioning method and system for simulation equipment in a steel bridge deck pavement twinning scene, and the method comprises the steps: obtaining the positioning information and construction data of a construction site in real time, and constructing a construction site data set; performing primary processing on the construction site data set through a positioning algorithm to obtain a positioning position and construction dynamic characteristics of equipment; based on a GIS technology and a BIM architecture, constructing a three-dimensional twinborn scene model of the steel bridge deck, and numbering the three-dimensional model according to bridge deck pile numbers and pile-by-pile coordinate information; and matching the processed equipment positioning position data with the three-dimensional twin scene, and displaying the real-time position and the movement track of the equipment through a model. According to the invention, the problem of inaccurate positioning data caused by signal interference in the steel bridge deck pavement construction process is effectively solved, the accurate monitoring of the equipment position and the construction track is realized, and the comprehensive monitoring capability of the construction progress and quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of road engineering technology, and in particular to a method and system for positioning a simulation device in a twin-scenario construction of a steel bridge deck. Background Art

[0002] Steel bridge deck construction has gradually attracted attention in recent years. Especially driven by digital transformation, the demand for monitoring bridge construction quality in the transportation construction field has been increasing. Steel bridge deck construction is a complex project, and construction quality is crucial to the durability and safety of the bridge. However, during the steel bridge deck construction process, due to its complex environment, the signal is easily interfered with, resulting in inaccurate positioning data, which brings difficulties to the management of the construction process.

[0003] At present, a variety of information technology methods have been applied in highway and bridge construction, such as real-time data collection and monitoring of the mixing and paving process to ensure the quality of key processes. However, how to achieve comprehensive monitoring of the construction progress and quality of steel bridge deck paving in a three-dimensional twin scene is still in the exploratory stage. In particular, how to ensure the accuracy of equipment positioning in an environment with unstable signals is still an unresolved technical problem. Summary of the invention

[0004] The present invention provides a method and system for simulating the positioning of equipment in a twin-scenario construction of steel bridge deck paving, thereby effectively solving the problems pointed out in the background technology.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is: A method for simulating equipment positioning in a twinning scene of steel bridge deck paving, comprising: Obtain the location information and construction data of the construction site in real time and build a construction site data set; Preliminarily processing the construction site data set through a positioning algorithm to obtain the positioning position of the equipment and the construction dynamic characteristics; Based on GIS technology and BIM architecture, a 3D twin scene model of the steel bridge deck is constructed, and the 3D model is numbered according to the bridge deck pile number and pile-by-pile coordinate information; Match the processed device positioning data with the three-dimensional twin scene, and display the real-time position and movement trajectory of the device through the model.

[0006] Furthermore, the construction site data set is preliminarily processed by a positioning algorithm to obtain the positioning position of the equipment and the construction dynamic characteristics, including: Conduct preliminary screening of the original positioning information and construction data in the construction site dataset; Use positioning algorithms to analyze the filtered positioning data to determine the current location of the equipment at the construction site and correct deviations caused by signal interference; Extracting dynamic features of the equipment based on the positioning data and the movement trajectory of the equipment, wherein the dynamic features include moving direction, moving speed and operating status; The positioning position of the equipment is integrated with the construction dynamic characteristics to form a complete data set.

[0007] Furthermore, the device position is predicted based on the processed positioning data, and the construction characteristics of the equipment are extracted, including the location and construction direction of the equipment. In the case where some positioning data are offset, the position of the equipment in the three-dimensional scene is controlled in two ways.

[0008] Furthermore, the two methods include: When the equipment positioning information matches the three-dimensional scene data of the steel bridge deck, the equipment positioning information is accurate and no further processing is required; When the device positioning information has deviations and is not within the three-dimensional scene of the steel bridge deck, position correction is performed.

[0009] Furthermore, the position correction step includes: The barriers are set up with the left and right guardrails of the bridge deck as the boundaries, and the current positioning point of the equipment is used as the origin to emit rays to the left and right sides parallel to the ground and perpendicular to the steel bridge deck; If the left ray collides with the left barrier, it is determined that the equipment positioning point is located at the left edge of the steel bridge deck, and the positioning point is adjusted to the left boundary of the bridge deck; Emit two upper and lower rays in a direction perpendicular to the ground to determine whether the equipment positioning point is located on the upper surface of the steel bridge deck; According to the results of ray collision detection, the specific position of the device in the three-dimensional scene is comprehensively determined, and the positioning deviation is corrected; Match the corrected positioning data with the known feature data in the 3D scene, select the most similar features, and further confirm the specific position and posture of the device.

[0010] Furthermore, the specific position and posture of the device are further confirmed, including: Extract boundary feature points and component geometry information of steel bridge deck from 3D twin scene model; Establish similarity matching rules between positioning data features and twin scene features, including position, direction, and neighboring geometric constraints; Calculate the similarity score between the corrected positioning data and the twin scene feature points based on the matching rules; The scene feature point with the highest similarity score is selected as the final positioning point of the device, and the posture of the device is confirmed based on the positioning point.

[0011] Furthermore, based on GIS technology and BIM architecture, a 3D twin scene model of the steel bridge deck is constructed, and the 3D model is numbered according to the bridge deck pile number and pile-by-pile coordinate information, including: Obtain the basic information of the steel bridge deck, and generate a preliminary 3D model of the bridge deck on the GIS platform based on the pile number and pile coordinate information of the bridge; Use BIM technology to optimize the three-dimensional model and carry out refined modeling; Number each component in the bridge deck model according to the pile number and pile coordinate information; The three-dimensional model of the bridge deck is associated with the real-time data to provide support for the attachment and real-time display of equipment positioning data.

[0012] Furthermore, the preliminary processing uses edge computing to assist the operation of the positioning algorithm by processing the construction site data set in real time.

[0013] A construction positioning system for simulating equipment in twin scenes of steel bridge deck paving, the system comprising: The data set construction module obtains the location information and construction data of the construction site in real time and constructs the construction site data set; A data preliminary processing module performs preliminary processing on the construction site data set through a positioning algorithm to obtain the positioning position of the equipment and the dynamic characteristics of the construction; The scenario model building module builds a 3D twin scenario model of the steel bridge deck based on GIS technology and BIM architecture, and numbers the 3D model according to the bridge deck pile number and pile-by-pile coordinate information; The data scene matching module matches the processed device positioning data with the three-dimensional twin scene, and displays the real-time position and motion trajectory of the device through the model.

[0014] Furthermore, the data preliminary processing module includes: A preliminary screening unit performs preliminary screening on the original positioning information and construction data in the construction site data set; The algorithm analysis unit uses the positioning algorithm to analyze the filtered positioning data, determine the current position of the equipment at the construction site, and correct the deviation caused by signal interference; A feature extraction unit, which extracts dynamic features of the device based on the positioning data and the motion trajectory of the device, wherein the dynamic features include moving direction, moving speed and operating status; The information integration unit integrates the positioning position of the equipment with the construction dynamic characteristics to form a complete data set.

[0015] The technical solution of the present invention can achieve the following technical effects: It effectively solved the problem of inaccurate positioning data caused by signal interference during the steel bridge deck paving construction process, realized accurate monitoring of equipment location and construction trajectory, and improved the comprehensive monitoring capability of construction progress and quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is a flow chart of a method for simulating equipment positioning in a twin scenario of steel bridge deck paving; Figure 2 To obtain the flow chart of the equipment positioning position and construction dynamic characteristics; Figure 3 is a flow chart of the position correction step; Figure 4 A flowchart to further confirm the specific position and posture of the equipment; Figure 5 Schematic diagram of the process of building and numbering a 3D twin scene model of a steel bridge deck. DETAILED DESCRIPTION

[0018] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0019] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art of the present invention. The terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0020] Embodiment 1 like Figure 1 As shown, the present invention provides a method for positioning a simulation device in a twin scene of steel bridge deck paving, the method comprising: S1: Obtain the positioning information and construction data of the construction site in real time and build a construction site dataset; Specifically, first, the real-time position of the construction equipment is collected through a variety of sensor devices (such as GPS, UWB and IMU) to obtain its accurate spatial coordinates. In order to deal with areas with weak signal coverage or interference, multi-source positioning technology is used to improve the integrity and reliability of the data by integrating multiple positioning information. At the same time, the sensors on the construction equipment will record the operating status, movement trajectory and operation parameters, such as paving speed, paving thickness and other key construction data; in addition, construction environment information is also collected in real time through independent sensors, including temperature, humidity and geographical environment parameters of specific areas of the bridge deck. These data and positioning information together constitute a complete construction site data set. In order to ensure the timeliness and accuracy of the data, the collected raw data is formatted in real time, outliers and noise data are eliminated, and data from different sources are integrated through timestamp synchronization technology to maintain consistency in the time dimension; finally, positioning information, construction parameters and environmental information are integrated to generate a standardized construction site data set.

[0021] S2: Preliminary processing of the construction site data set using a positioning algorithm to obtain the equipment's positioning position and construction dynamic characteristics; Specifically, through preliminary processing of the construction site data set, the positioning information of the equipment is extracted and corrected, and the dynamic characteristics of the equipment are analyzed to ensure the accuracy of the equipment's current position and operating status, further improve the accuracy and real-time performance of the construction process, and reduce the impact of signal interference and data deviation on construction management.

[0022] S3: Based on GIS technology and BIM architecture, a 3D twin scene model of the steel bridge deck is constructed, and the 3D model is numbered according to the bridge deck pile number and pile-by-pile coordinate information; Specifically, firstly, GIS (Geographic Information System) technology is used to manage the spatial data of the bridge and the construction site and generate a preliminary three-dimensional model. By obtaining the bridge pile number information, pile coordinates, and the terrain and geographic data of the construction area, the GIS system can accurately locate the key components of the bridge and generate a spatial model consistent with the real scene. This model not only covers the basic geometric information of the bridge, but also includes the geographic data of the surrounding environment, providing a global framework for subsequent refined modeling. Based on the preliminary model generated by GIS, BIM (Building Information Modeling) technology is used for refined modeling. By importing the design drawings and construction parameters of the bridge, the BIM platform performs detailed modeling of key components such as the bridge deck, guardrails, pile numbers, etc., to ensure the geometric accuracy and structural detail integrity of the model. BIM technology can also embed the physical properties, material information, and construction process data of the components to make three-dimensional The 3D model can truly reflect the complex structure and construction requirements of the steel bridge deck. After the model is built, the components of the 3D model are numbered according to the pile number and pile coordinates of the bridge. This numbering process combines the global coordinate system of GIS and the detailed data expression of BIM, so that each component has a unique identifier in the model and corresponds one-to-one with the on-site construction data. This numbering rule lays the foundation for real-time monitoring of the construction status and dynamic association of model data. Finally, the 3D twin scene model is connected to the real-time data set of the construction site through a data interface. GIS technology provides dynamically updated geographic environment data, and BIM technology displays the real-time location information and operating status of construction equipment. This collaboration enables the 3D twin scene model to not only reflect the current progress of the construction, but also intuitively display the movement trajectory and operating area of ​​the equipment in the model, thereby realizing accurate monitoring and optimized management of the construction process.

[0023] S4: Match the processed device positioning data with the 3D twin scene, and display the real-time position and movement trajectory of the device through the model.

[0024] Specifically, the purpose of this step is to achieve accurate integration of the real-time positioning data of the equipment with the three-dimensional twin scene to dynamically display the real-time position and movement trajectory of the equipment. This process can not only intuitively reflect the operating status and operation progress of the equipment, but also provide data support for real-time monitoring of the construction process, equipment scheduling optimization and construction quality management, thereby improving the efficiency and accuracy of steel bridge deck pavement construction and reducing the risk of construction deviation caused by positioning errors.

[0025] The present invention effectively solves the problem of inaccurate positioning data caused by signal interference during the steel bridge deck paving construction process, realizes accurate monitoring of equipment position and construction trajectory, and improves the comprehensive monitoring capability of construction progress and quality.

[0026] As a preferred embodiment of the above, Figure 2As shown, step S2, the construction site data set is preliminarily processed by a positioning algorithm to obtain the positioning position of the equipment and the construction dynamic characteristics, including: S21: Preliminary screening of original positioning information and construction data in the construction site dataset; S22: Analyze the filtered positioning data using a positioning algorithm to determine the current position of the equipment at the construction site and correct the deviation caused by signal interference; S23: extracting dynamic features of the equipment based on the positioning data and the movement trajectory of the equipment, the dynamic features including moving direction, moving speed and operating status; S24: Integrate the equipment’s location and construction dynamic characteristics to form a complete data set.

[0027] Specifically, first, the collected original positioning information and construction data (such as equipment operating parameters, environmental sensor data) are screened for quality. By filtering outliers and obvious noise data (such as positioning points beyond the actual range of the equipment or sudden abnormal speed data), the basic reliability of the data is ensured. At the same time, multi-source data is synchronized according to the timestamp for subsequent analysis. After completing the data screening, the positioning data is further processed by positioning algorithms (such as Kalman filtering, particle filtering, etc.) to improve the accuracy. This step is mainly used to correct the positioning deviation caused by signal interference or occlusion. The algorithm optimizes the current positioning point by combining the historical motion trajectory of the equipment, sensor feedback and scene feature data, and finally determines the precise position of the equipment at the construction site. According to the time series positioning data and position change trend of the equipment, its motion trajectory information is extracted. The dynamic features include: moving direction: the current movement direction of the equipment is calculated by the position change vector, moving speed: the real-time speed of the equipment is calculated based on the time difference and spatial displacement of continuous positioning points, and operating status: combined with the operating parameters of the equipment and the positioning trajectory, it is judged whether it is in normal operation, paused or abnormal movement state; finally, the positioning information (precise position coordinates) of the equipment is integrated with the dynamic features (direction, speed, operating status) to generate a unified standardized data set, which contains both the spatial information of the equipment and its operating status.

[0028] As a preferred embodiment of the above embodiment, the device position is predicted based on the processed positioning data, and the construction characteristics of the equipment are extracted, including the position and construction direction of the equipment. In case that some positioning data are offset, the position of the device in the three-dimensional scene is controlled in two ways.

[0029] As preferred embodiments of the above, the two methods include: When the equipment positioning information matches the three-dimensional scene data of the steel bridge deck, the equipment positioning information is accurate and no further processing is required; When the equipment positioning information has deviations and is not within the three-dimensional scene of the steel bridge deck, position correction is performed.

[0030] Specifically, first, by analyzing the processed positioning data, combined with the motion trajectory and dynamic characteristics of the equipment, the next position of the equipment in the construction scene is predicted. This prediction process can identify the movement trend of the equipment in advance to ensure that the position and direction of the equipment in the construction scene are in line with expectations; then, in view of the possible deviations in the equipment positioning data, the equipment position is verified based on the three-dimensional scene model, and the positioning accuracy of the equipment is judged by comparing the current positioning information of the equipment with the known feature points in the twin scene. If the positioning information is accurate and consistent with the twin scene data, the position of the equipment is directly used for display; if the positioning data is found to be offset or abnormal, the position of the equipment is further analyzed and adjusted to ensure that it is always within the effective construction area. This process ensures the accuracy of the real-time position and construction direction of the equipment through dynamic analysis and precise comparison of data, providing a reliable basis for subsequent construction monitoring and management.

[0031] As a preferred embodiment of the above, Figure 3 As shown, the position correction step includes: A10: Set up barriers with the left and right guardrails of the bridge deck as the boundaries, and use the current positioning point of the device as the origin to emit rays to the left and right sides parallel to the ground and perpendicular to the steel bridge deck; A20: If the left ray collides with the left barrier, the device positioning point is determined to be at the left edge of the steel bridge deck, and the positioning point is adjusted to the left boundary of the bridge deck; A30: emits two upper and lower rays in the direction perpendicular to the ground to determine whether the equipment positioning point is located on the upper surface of the steel bridge deck; A40: Based on the results of ray collision detection, comprehensively determine the specific position of the device in the three-dimensional scene and correct the positioning deviation; A50: Match the corrected positioning data with the known feature data in the 3D scene, select the most similar features, and further confirm the specific position and posture of the device.

[0032] Specifically, in the three-dimensional twin scene, a barrier area is constructed with the left and right guardrails of the bridge deck as boundaries, and with the current positioning point of the device as the origin, rays are emitted in the left and right directions parallel to the ground and perpendicular to the steel bridge deck. The function of the ray is to detect the relative position of the device positioning point and the guardrail barrier to determine whether the device exceeds the effective range of the bridge deck; if the left ray collides with the left barrier of the bridge deck, it means that the device positioning point is close to or located at the left edge of the bridge deck. At this time, the system adjusts the device positioning point to the left boundary of the bridge deck to ensure that the device is within the effective working range. Similarly, if the right ray collides with the right barrier, the positioning point is adjusted to the right boundary of the bridge deck; two upper and lower rays are emitted in the direction perpendicular to the ground to detect Measure whether the equipment positioning point is located on the upper surface of the bridge deck. If the test result shows that the equipment positioning point deviates from the bridge deck (such as exceeding the effective height range above and below the bridge deck), readjust the vertical position of the equipment to make it conform to the spatial constraints of the bridge deck construction area; according to the above-mentioned ray detection results, combined with the bridge deck boundary, surface features and the deviation of the equipment positioning point, comprehensively adjust the three-dimensional spatial position of the equipment, and the corrected positioning point should conform to the effective working range and geometric characteristics of the bridge deck; after the correction is completed, match the corrected positioning data of the equipment with the known feature data in the three-dimensional twin scene, and select the most similar feature point as the final matching point through a comprehensive comparison of the position, direction and adjacent features to further confirm the specific position and posture of the equipment.

[0033] As a preferred embodiment of the above, Figure 4 As shown, further confirm the specific position and posture of the device, including: B10: Extract boundary feature points and component geometry information of steel bridge deck from 3D twin scene model; B20: Establish similarity matching rules between positioning data features and twin scene features, including position, direction and adjacent geometric constraints; B30: Calculate the similarity score between the corrected positioning data and the twin scene feature points based on the matching rules; B40: Select the scene feature point with the highest similarity score as the final positioning point of the device, and confirm the posture of the device based on the positioning point.

[0034] Specifically, the boundary feature points and component geometry information of the steel bridge deck are extracted from the 3D twin scene model. These feature data include the boundary lines of the bridge deck guardrails, the surface geometry of the bridge deck, and key position points related to the operation of the equipment. The extraction of feature points is based on the geometry and topology of the 3D model, which provides a reference for the matching of equipment positioning data. The similarity matching rules between the equipment positioning data features and the twin scene features are established, and the rules include the following elements: Position constraint: Consider the spatial distance between the positioning point and the scene feature point and define the matching weight of the position.

[0035] Direction constraint: Matching analysis is performed based on the degree of deviation between the device movement direction and the scene feature direction.

[0036] Proximity geometry constraints: Introduce geometric features around the equipment (such as guardrails or boundary points) as matching references.

[0037] The comprehensive application of matching rules can evaluate the spatial consistency between the corrected positioning points and the twin scene feature points.

[0038] According to the above matching rules, the similarity score between the corrected positioning data and the scene feature points is calculated. The score calculation takes into account spatial distance, directional consistency and geometric proximity. Each factor is comprehensively evaluated through a weighted algorithm. The higher the score, the higher the degree of match between the corrected positioning point and the scene feature point. From the similarity scores of all feature points calculated, the feature point with the highest score is selected as the final positioning point of the equipment. This point not only meets the spatial consistency requirements, but also reflects the accurate position of the equipment in the scene. Based on the selected final positioning point, combined with the dynamic characteristics of the equipment (such as moving direction and speed), the specific posture of the equipment in the scene is determined, including its orientation and operating status. This step ensures that the position of the equipment in the three-dimensional scene is consistent with the actual construction status.

[0039] As a preferred embodiment of the above, Figure 5 As shown, step S3, based on GIS technology and BIM architecture, construct a three-dimensional twin scene model of the steel bridge deck, and number the three-dimensional model according to the bridge deck pile number and pile-by-pile coordinate information, including: S31: Obtain the basic information of the steel bridge deck, and generate a preliminary three-dimensional model of the bridge deck on the GIS platform based on the pile number and pile-by-pile coordinate information of the bridge; S32: Use BIM technology to optimize the 3D model and perform refined modeling; S33: numbering each component in the bridge deck model according to the pile number and the pile-by-pile coordinate information; S34: Associate the three-dimensional model of the bridge deck with the real-time data to provide support for the attachment and real-time display of equipment positioning data.

[0040] Specifically, first, the basic geometry and geographic information of the steel bridge deck are obtained, including the bridge pile number, pile-by-pile coordinates and topographic data of the construction site. These data are imported into the GIS platform to build a preliminary spatial model of the bridge. This model aims to provide the overall spatial layout of the bridge and the surrounding environment to meet the basic needs of positioning and docking; the preliminary model is optimized and supplemented by using BIM technology, and the bridge deck, guardrail and other components are accurately modeled by introducing detailed bridge design parameters. The core of this stage is the geometric refinement of the model and the enrichment of component information, such as adding material properties, construction technology and physical performance parameters, so that the model can truly reflect the complexity of the steel bridge deck structure; after completing the fine processing of the model, each component in the three-dimensional model is uniquely numbered according to the pile number and pile-by-pile coordinate information of the bridge. The numbering rules combine the spatial position and design data to ensure that the components in the model can be accurately mapped to the actual construction scene, which is convenient for real-time data attachment and monitoring management; through the real-time data interface with the construction site, the three-dimensional model is attached to the equipment positioning information, and the real-time location and construction status of the equipment are displayed through the model, so that the construction progress, equipment operation trajectory and operation range can be dynamically visualized in the twin scene.

[0041] As a preferred embodiment of the above embodiment, edge computing is used for preliminary processing to assist the operation of the positioning algorithm by real-time processing of the construction site data set.

[0042] Specifically, through edge computing, data can be processed in real time at edge nodes close to the construction site, reducing the delay and signal attenuation caused by transmission to the cloud. At the same time, edge computing can screen and filter the original data, remove outliers, improve data quality, and provide guarantees for the accurate operation of the positioning algorithm. In this solution, by dynamically adjusting the algorithm parameters of the edge computing nodes (such as sampling frequency and filtering strategy), the system's ability to adapt to changes in the construction environment is further enhanced, thereby ensuring the accuracy of positioning data; in addition, the application of edge computing in this solution also effectively reduces the computing load of the cloud server, improves the overall processing efficiency, shortens the positioning feedback time, and provides efficient data support for the real-time display and dynamic monitoring of equipment in three-dimensional twin scenes.

[0043] Embodiment 2 Based on the same inventive concept as the method for locating the construction of a simulation device in a twin scene of steel bridge deck pavement in the aforementioned embodiment, the present invention further provides a system for locating the construction of a simulation device in a twin scene of steel bridge deck pavement, the system comprising: The data set construction module obtains the location information and construction data of the construction site in real time and constructs the construction site data set; The data preliminary processing module preliminarily processes the construction site data set through the positioning algorithm to obtain the positioning position of the equipment and the dynamic characteristics of the construction; The scenario model building module builds a 3D twin scenario model of the steel bridge deck based on GIS technology and BIM architecture, and numbers the 3D model according to the bridge deck pile number and pile-by-pile coordinate information; The data scene matching module matches the processed device positioning data with the three-dimensional twin scene, and displays the real-time position and motion trajectory of the device through the model.

[0044] The above-mentioned positioning system in the present invention can effectively realize the construction positioning method of simulating equipment in the twin scenes of steel bridge deck paving. The technical effects that can be achieved are as described in the above embodiments and will not be repeated here.

[0045] As a preferred embodiment of the above, the data preliminary processing module includes: A preliminary screening unit performs preliminary screening on the original positioning information and construction data in the construction site data set; The algorithm analysis unit uses the positioning algorithm to analyze the filtered positioning data, determine the current position of the equipment at the construction site, and correct the deviation caused by signal interference; The feature extraction unit extracts the dynamic features of the device based on the positioning data and the motion trajectory of the device. The dynamic features include the moving direction, moving speed and operating status. The information integration unit integrates the equipment’s location and construction dynamic characteristics to form a complete data set.

[0046] Similarly, the above-mentioned optimization schemes for the system can also respectively achieve the optimization effects corresponding to the method in Example 1, which will not be repeated here.

[0047] Although the present application has been described in conjunction with specific features and embodiments thereof, it is apparent that various modifications and combinations may be made thereto without departing from the spirit and scope of the present application. Accordingly, this specification and the accompanying drawings are merely exemplary illustrations of the present application as defined herein, and are deemed to have covered any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is intended to include these modifications and variations.

Claims

1. A method for simulating equipment positioning in twin scenes of steel bridge deck paving, characterized in that: include: Obtain the location information and construction data of the construction site in real time and build a construction site data set; Preliminarily processing the construction site data set through a positioning algorithm to obtain the positioning position of the equipment and the construction dynamic characteristics; Based on GIS technology and BIM architecture, a 3D twin scene model of the steel bridge deck is constructed, and the 3D model is numbered according to the bridge deck pile number and pile-by-pile coordinate information; Match the processed device positioning data with the three-dimensional twin scene, and display the real-time position and movement trajectory of the device through the model.

2. The method for positioning the construction of a twin scene of steel bridge deck pavement by a simulation device according to claim 1 is characterized in that: The construction site data set is preliminarily processed by a positioning algorithm to obtain the positioning position of the equipment and the construction dynamic characteristics, including: Conduct preliminary screening of the original positioning information and construction data in the construction site dataset; Use positioning algorithms to analyze the filtered positioning data to determine the current location of the equipment at the construction site and correct deviations caused by signal interference; Extracting dynamic features of the equipment based on the positioning data and the movement trajectory of the equipment, wherein the dynamic features include moving direction, moving speed and operating status; The positioning position of the equipment is integrated with the construction dynamic characteristics to form a complete data set.

3. The method for positioning the construction of a twin scene of steel bridge deck pavement by a simulation device according to claim 1 is characterized in that: The device position is predicted based on the processed positioning data, and the construction features of the equipment are extracted, including the location and construction direction of the equipment. In the case where some positioning data are offset, the position of the equipment in the three-dimensional scene is controlled in two ways.

4. The method for positioning the construction of a twin scene of steel bridge deck pavement using a simulation device according to claim 3 is characterized in that: The two methods include: When the equipment positioning information matches the three-dimensional scene data of the steel bridge deck, the equipment positioning information is accurate and no further processing is required; When the device positioning information has deviations and is not within the three-dimensional scene of the steel bridge deck, position correction is performed.

5. The method for positioning the construction of a twin scene of steel bridge deck paving using a simulation device according to claim 4 is characterized in that: The position correction step comprises: The barriers are set up with the left and right guardrails of the bridge deck as the boundaries, and the current positioning point of the equipment is used as the origin to emit rays to the left and right sides parallel to the ground and perpendicular to the steel bridge deck; If the left ray collides with the left barrier, it is determined that the equipment positioning point is located at the left edge of the steel bridge deck, and the positioning point is adjusted to the left boundary of the bridge deck; Emit two upper and lower rays in a direction perpendicular to the ground to determine whether the equipment positioning point is located on the upper surface of the steel bridge deck; According to the results of ray collision detection, the specific position of the device in the three-dimensional scene is comprehensively determined, and the positioning deviation is corrected; Match the corrected positioning data with the known feature data in the 3D scene, select the most similar features, and further confirm the specific position and posture of the device.

6. The method for positioning the construction of a twin scene of steel bridge deck pavement by a simulation device according to claim 1 is characterized in that: Further confirm the specific location and posture of the device, including: Extract boundary feature points and component geometry information of steel bridge deck from 3D twin scene model; Establish similarity matching rules between positioning data features and twin scene features, including position, direction, and neighboring geometric constraints; Calculate the similarity score between the corrected positioning data and the twin scene feature points based on the matching rules; The scene feature point with the highest similarity score is selected as the final positioning point of the device, and the posture of the device is confirmed based on the positioning point.

7. The method for positioning the construction of a twin scene of steel bridge deck pavement by a simulation device according to claim 1 is characterized in that: Based on GIS technology and BIM architecture, a 3D twin scene model of the steel bridge deck is constructed, and the 3D model is numbered according to the bridge deck pile number and pile-by-pile coordinate information, including: Obtain the basic information of the steel bridge deck, and generate a preliminary 3D model of the bridge deck on the GIS platform based on the pile number and pile coordinate information of the bridge; Use BIM technology to optimize the three-dimensional model and carry out refined modeling; Number each component in the bridge deck model according to the pile number and pile coordinate information; The three-dimensional model of the bridge deck is associated with the real-time data to provide support for the attachment and real-time display of equipment positioning data.

8. The method for positioning the construction of a twin scene of steel bridge deck pavement by a simulation device according to claim 1 is characterized in that: The preliminary processing uses edge computing to assist the positioning algorithm in running by processing the construction site data set in real time.

9. A construction positioning system for simulating equipment in twin scenes of steel bridge deck paving, characterized in that: The system comprises: The data set construction module obtains the location information and construction data of the construction site in real time and constructs the construction site data set; A data preliminary processing module performs preliminary processing on the construction site data set through a positioning algorithm to obtain the positioning position of the equipment and the dynamic characteristics of the construction; The scenario model building module builds a 3D twin scenario model of the steel bridge deck based on GIS technology and BIM architecture, and numbers the 3D model according to the bridge deck pile number and pile-by-pile coordinate information; The data scene matching module matches the processed device positioning data with the three-dimensional twin scene, and displays the real-time position and motion trajectory of the device through the model.

10. The construction positioning system of the simulation equipment in the twin scene of steel bridge deck paving according to claim 9 is characterized in that: The data preliminary processing module includes: A preliminary screening unit performs preliminary screening on the original positioning information and construction data in the construction site data set; The algorithm analysis unit uses the positioning algorithm to analyze the filtered positioning data, determine the current position of the equipment at the construction site, and correct the deviation caused by signal interference; A feature extraction unit, which extracts dynamic features of the device based on the positioning data and the motion trajectory of the device, wherein the dynamic features include moving direction, moving speed and operating status; The information integration unit integrates the positioning position of the equipment with the construction dynamic characteristics to form a complete data set.

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