CN-121997562-A - Digital twin simulation deduction method for engineering construction

CN121997562ACN 121997562 ACN121997562 ACN 121997562ACN-121997562-A

Abstract

The invention discloses a digital twin simulation deduction method for engineering construction, which relates to the technical field of engineering construction, and comprises the following steps of S1, constructing a virtual scene, namely converting a construction site into a virtual three-dimensional scene through a digital twin simulation technology, configuring a digital construction equipment assembly and a component assembly in the virtual three-dimensional scene to reflect the spatial relationship with surrounding construction environments, S2, rapidly acquiring and three-dimensionally modeling, namely planning the aerial line and image acquisition action of an unmanned aerial vehicle aiming at a preset modeling range based on an oblique photography technology of the unmanned aerial vehicle. The invention realizes low-cost rapid modeling by adopting unmanned aerial vehicle oblique photography technology, does not need high hardware investment, does not need high-threshold compound talents, is convenient for popularization and application of small and medium enterprises, combines a centimeter-level precision three-dimensional model, mechanical dynamics analysis and a physical engine, accurately simulates nonlinear change and stress state of complex components in extreme environments, and effectively solves the problems of extreme working conditions and complex component hoisting deduction deviation.

Inventors

Shu Qiangniu
Xia Peiwu
ZHANG HAIJUN
CHENG ZHIQIANG
SHEN SHIYING
YAO BIN
HU CHUANSHUN
WANG CHAO

Assignees

浙江祉数科技有限公司

Dates

Publication Date: 20260508
Application Date: 20251229

Claims (10)

1. The engineering construction digital twin simulation deduction method is characterized by comprising the following deduction steps: S1, constructing a virtual scene, namely converting a construction site into a virtual three-dimensional scene through a digital twin simulation technology, configuring a digitalized construction equipment assembly and a member assembly in the virtual three-dimensional scene, and reflecting the spatial relationship with the surrounding construction environment; S2, quick acquisition and three-dimensional modeling, namely planning a route and image acquisition action of the unmanned aerial vehicle aiming at a preset modeling range based on an oblique photography technology of the unmanned aerial vehicle, completing image acquisition by the unmanned aerial vehicle according to a solution requirement of aerial triangulation, substituting co-name point coordinates among images into a collineation equation to solve a stereopair, and acquiring a three-dimensional model of the preset modeling range as an environment model data base; S3, simulating a previewing construction operation, namely parameterizing a common construction component to construct a component assembly model A, parameterizing common construction equipment and binding interaction actions to construct a construction equipment assembly model B, and taking the obtained three-dimensional model as an environment model C; simulating the site construction installation process by controlling the mechanical action of the construction equipment component model B, detecting overload, out-of-range and collision conditions in the construction process in real time, analyzing the movement and stress state of the construction equipment by combining mechanical dynamics, deducing the safe operation angle and the safe distance of the construction equipment, and displaying the safe operation range in a visual mode to obtain a simulation preview result; and S4, adjusting construction equipment selection, operation arrangement schemes and site rectification contents according to simulation previewing results, and making safety technical guiding measures to form a construction technical scheme.
2. The engineering construction digital twin simulation deduction method is characterized in that the step S1 is characterized in that ground three-dimensional laser scanning, unmanned aerial vehicle oblique photography and GIS are adopted to collect construction topography, surrounding environment, engineering drawing and equipment component multisource data for preprocessing, a topography and surrounding environment integrated basic scene is built through a three-dimensional modeling engine based on the preprocessed data, and construction area fine modeling is conducted by combining a BIM model.
3. The method of claim 1, wherein S1 is characterized in that the construction equipment assembly and the component assembly complete space deployment according to a construction plan after parameterization adjustment, virtual-real space relation is established and conflict is checked through space topology analysis, an IoT sensor network is deployed, virtual-real linkage channels of edge calculation and cloud transmission are built, equipment motion and component assembly simulation rules are embedded, and scene precision and functions are verified.
4. The method of claim 1, wherein the common line equation in the S2 step is a spatial geometrical relationship of a ground point, an image point and a camera center in the same straight line during exposure, and the formula is: ; ; Wherein (x, y) is the pixel coordinate of the image point, (x 0 ,y 0 ) is the image principal point coordinate, f is the camera focal length; (X, Y, Z) is the coordinate of the ground point in the object space coordinate system, (X 0 ,Y 0 ,Z 0 ) is the position of the projection center of the camera in the object space coordinate system, M ij is the element of the rotation matrix M, and the position is calculated by the attitude angles (omega, phi, kappa) of the camera rotating around three coordinate axes; wherein the rotation matrix M is: 。
5. the method for digital twin simulation deduction of engineering construction according to claim 1 wherein the mechanical dynamics in the step S3 comprises Newton ' S second law and Euler ' S rotation equation, wherein the Newton ' S second law formula is: Wherein The external force is applied to the object; for the mass of the object itself, The Euler rotation equation formula is as follows: Wherein Is the resultant moment to which the object is subjected, For the moment of inertia of the object, Is the angular acceleration of the object.
6. The method for engineering construction digital twin simulation deduction according to claim 1, wherein the planning unmanned aerial vehicle comprises flight altitude, flight speed and obstacle avoidance setting aiming at a route in a preset modeling range in the step S2, wherein the flight altitude is set on the basis of the size of the modeling range, the flight speed is set to be less than or equal to 8m/S, the obstacle avoidance setting safety distance is greater than or equal to 5m, the image acquisition acquires the position and posture data of the unmanned aerial vehicle in real time through an RTK/PPK differential positioning technology, the positioning data and the images are synchronously stored, and after the acquisition is completed, the image data and corresponding POS data are derived for data backup and screening.
7. The engineering construction digital twin simulation deduction method is characterized in that in the step S2, a three-dimensional model with a preset modeling range is obtained, collected images and POS data are preprocessed, homologous points are matched based on a SIFT/ORB algorithm, aerial triangulation is completed through a light beam method, a collineation equation is substituted into the three-dimensional pair to calculate the three-dimensional pair, multi-view dense matching is conducted based on the three-dimensional pair to generate high-density point cloud, a three-dimensional grid is built through poisson curved surface reconstruction, a unified coordinate system of the model is optimized, and the three-dimensional model is exported and stored in a general format to serve as a deduction environment data base.
8. The method for simulating and deducting the engineering construction digital twin is characterized in that in the step S3, a model component is built by parameterizing a common construction component to build a component assembly model A, the outer contour of the component assembly model A is modeled by adopting simple shapes of a cuboid, a triangle and a cylinder to debug length and thickness parameters, construction equipment is parameterized and bound with interaction to build a construction equipment assembly model B, core actions of the construction equipment are decomposed, parameters are set one by one, and the equipment position is adjusted through dragging and rotating operations.
9. The engineering construction digital twin simulation deduction method is characterized in that in the step S3, the ratio of the weight of a component to the rated load of the equipment is calculated in real time, red early warning is triggered when the ratio overload is more than or equal to 10%, the equipment is synchronously locked, the construction boundary is defined based on an environment model C through boundary crossing detection, when the equipment or the component exceeds the boundary by more than or equal to 0.5m, the boundary crossing position and the violation type are marked through acousto-optic prompt early warning, the collision detection adopts a double algorithm of bounding box and fine collision, the collision risk condition is calculated automatically when the distance between the equipment boom and the component and the environmental obstacle is less than or equal to a safety threshold, the collision risk condition is classified, avoidance is prompted when the risk is low, and deduction is forcedly suspended when the risk is high.
10. The engineering construction digital twin simulation deduction method is characterized by comprising the steps of constructing a device-component dynamics analysis model by combining mechanical dynamics in the step S3, resolving pulling force and inertia force in the component hoisting process, bending stress and turning torque of a device boom in real time, outputting a stress distribution cloud chart, marking a high stress area, correcting dynamics parameters aiming at a high-altitude and high-wind complex environment, simulating component swing amplitude and device stress change under extreme working conditions, deducting device landing leg stress balance and component hoisting stability based on stress data, and outputting a stability risk report in real time.

Description

Digital twin simulation deduction method for engineering construction Technical Field The invention relates to the technical field of engineering construction, in particular to a digital twin simulation deduction method for engineering construction. Background The current engineering equipment hoisting construction deduction technology is in a digital and intelligent rapid development stage, and a certain research result is obtained in the aspects of technology fusion application, scene landing and the like, but is limited by factors such as standards, cost, technology adaptation and the like, and a plurality of problems to be solved still exist, namely, firstly, data intercommunication has barriers, unified modeling and data transmission standards are lacking in the industry, BIM models, equipment data and progress data generated by different software are often dispersed in different systems, so that a data island is formed; the method has the advantages that a great deal of time is required for data conversion during inter-enterprise and inter-process collaboration, efficiency is reduced, deduction accuracy is possibly influenced by data loss, meanwhile, different project deduction parameters are different in setting standard, technology reusability is poor, small and medium enterprises are high in application threshold, on one hand, deduction technology initial investment is large, high-precision modeling, sensor deployment and software purchasing are required to be high in cost, on the other hand, technology is demanding on professional talents, engineering hoisting knowledge is required to be mastered, BIM and simulation software operation are required, small and medium construction enterprises often lack such composite talents, the technology is concentrated in large state-owned enterprise key projects, comprehensive popularization in industry is difficult, extreme working condition deduction tidal capability is insufficient, the prior art can simulate most of conventional scenes, but has obvious limitations in extreme environments, such as the influence of sea wave and wind power hoisting in high-altitude areas, low-pressure and strong wind on hoisting, simulation model prediction accuracy is to be improved, in addition, when special-shaped oversized components are hoisted, digital error of complicated states can cause deduction of stress conditions and deviation of actual working conditions, in this regard, we propose a digital twin simulation deduction method for engineering construction. Disclosure of Invention In order to solve the technical problems, the technical scheme solves the problems by providing a digital twin simulation deduction method for engineering construction. In order to achieve the purpose, the invention adopts the technical scheme that the engineering construction digital twin simulation deduction method comprises the following deduction steps: S1, constructing a virtual scene, namely converting a construction site into a virtual three-dimensional scene through a digital twin simulation technology, configuring a digitalized construction equipment assembly and a member assembly in the virtual three-dimensional scene, and reflecting the spatial relationship with the surrounding construction environment; S2, quick acquisition and three-dimensional modeling, namely planning a route and image acquisition action of the unmanned aerial vehicle aiming at a preset modeling range based on an oblique photography technology of the unmanned aerial vehicle, completing image acquisition by the unmanned aerial vehicle according to a solution requirement of aerial triangulation, substituting co-name point coordinates among images into a collineation equation to solve a stereopair, and acquiring a three-dimensional model of the preset modeling range as an environment model data base; S3, simulating a previewing construction operation, namely parameterizing a common construction component to construct a component assembly model A, parameterizing common construction equipment and binding interaction actions to construct a construction equipment assembly model B, and taking the obtained three-dimensional model as an environment model C; simulating the site construction installation process by controlling the mechanical action of the construction equipment component model B, detecting overload, out-of-range and collision conditions in the construction process in real time, analyzing the movement and stress state of the construction equipment by combining mechanical dynamics, deducing the safe operation angle and the safe distance of the construction equipment, and displaying the safe operation range in a visual mode to obtain a simulation preview result; and S4, adjusting construction equipment selection, operation arrangement schemes and site rectification contents according to simulation previewing results, and making safety technical guiding measures to form a construction technical scheme. Prefe