Construction Method for a Three-Dimensional Tunnel General Monomer Model Based on Parallel Pathfinding

Abstract

Existing approaches for the 3D modeling of tunnels suffer from several problems, such as highly difficult data acquisition, redundancy of model data, large computational burden, and the inability of the resulting models to be monolithic. Therefore, solutions to the tunnel network modeling problem for complex structures need to be proposed and elaborated in detail. In this paper, a construction method for a three-dimensional tunnel general monomer model based on parallel pathfinding is proposed. Widely used tunnel CAD drawings are analyzed and read, a disordered arc ensemble intersection trend decision method is developed, and an automatic path extraction solution algorithm for unidirectional modeling of tunnel centerlines is constructed. By constructing and splicing the surface elements of the 3D model, a monomeric 3D tunnel model representing the complex network structure is finally obtained. Moreover, the modeling of shafts is realized based on the monomer model, allowing for the three-dimensional topological relationships between different sub-levels of the tunnel and the ground to be established. The automatic modeling method proposed in this paper is applied to the digital twin platform of a filling project in a mining area in Gansu province, China. The experimental results demonstrate that the 3D tunnel models constructed in this way have a smaller data volume, higher modeling accuracy, and more stable growth of modeling speed.

Integration of two different road network models for emergency rescue pathfinding in indoor and outdoor environments

“…In detail, pathfinding can be divided into three steps: (1) identify and define the starting and ending points of the rescuer in the entire road network model. (2) Calculate each part of the path. (3) Obtain a continuous path.…”

“…Urban transportation therefore becomes more intricate due to the emergence of so many buildings, and so will indoor transportation as such buildings always have a large number of semienclosed spaces and obstacles. It has been reported that people spend about 90% of their days indoors, engaged in activities such as entertainment, education, work, dining, and so on [1][2][3]. Once an emergency such as a fire or explosion occurs inside a building, the cost of rescue will be considerably increased.…”

A Knowledge-Guided Intelligent Analysis Method of Geographic Digital Twin Models: A Case Study on the Diagnosis of Geometric Deformation in Tunnel Excavation Profiles

“…In recent years, with the development of geographical digital twin technologies, intelligent construction has gradually become an essential direction for tunnel excavation [6,7]. By constructing a digital twin geographical scene of tunnel excavation and establishing a dynamic connection between the physical world and the information world, it is possible to accurately control changes in tunnel excavation, which can alleviate or even eliminate the problem of over-and under-excavation during the construction process [8,9]; however, current geographical twin models in tunnel engineering primarily focus on modeling and visual description, and there are few studies in which digital twin ideas are integrated into deformation diagnosis during construction [10][11][12]. The lack of diagnostic analysis functions has become a significant obstacle to achieving intelligent construction and precise management of tunnel projects.…”