Three-Dimensional (3D) Parametric Modeling and Organization for Web-Based Visualization of City-Scale Pipe Network

Abstract

Underground pipe network is a critical city infrastructure, which plays an important role in smart city management. As the detailed three-dimensional (3D) scene of underground pipe networks is difficult to construct, and massive numbers of pipe points and segments are difficult to manage, a 3D pipe network modeling and organization method is explored in this study. First, the modeling parameters were parsed from the pipe network survey data. Then, the 3D pipe segment and point models were built based on parametric modeling algorithms. Finally, a heterogeneous data structure for the 3D pipe network was established through loose quadtree data organization. The proposed data structure was suitable for 3D Tiles, which was adopted by Cesium (a web-based 3D virtual globe); hence, a multitude of pipe networks can be viewed in the browser. The proposed method was validated by generating and organizing a large-scale 3D pipe network scene of Beijing. The experimental results indicate that the 3D pipe network models formed by this method can satisfy the visual effect and render the efficiency required for smart urban management.

An adaptive quadtree index reconstruction algorithm for massive 3D city models

“…In 2019, Chen J et al [6] proposed a R*O-tree hybrid index structure, which adopted R*-tree and octree in the horizontal and the vertical direction, respectively. In 2020, Hu Z et al [7] adopted a loose quadtree to partition the pipe segment and point models in b3dm format to complete the visualization of the pipe network. Jérémy Gaillard et al [8] proposed a multi-scale hierarchical approach for the universal representation of cities for the fast generation and visualization of user-specified tiles.…”

“…The four sub-regions of 𝑺, i.e., 𝑺 ∈ ℝ 𝟐 for northwest, 𝑺 ∈ ℝ 𝟐 for northeast, 𝑺 ∈ ℝ 𝟐 for southwest, and 𝑺 ∈ ℝ 𝟐 for southeast, are calculated based on the coordinates of the 𝑷 , 𝑷 , and 𝑷 . The equations are shown in ( 4)- (7). Each of these four equations contains two coordinates, and the first and second coordinates represent the lower left and the upper right corner of the bounding volume, respectively.…”

Research on 3D Visualization of Real Scene in Subway Engineering Based on 3D Model

“…The index-based approach involves partitioning the space and organizing fine-grained building elements or spatial structure data. Hu et al [55] performed parameter modeling on surveyed data of utility networks and utilized a loose quadtree data organization to establish a three-dimensional heterogeneous data structure for utility networks. Yang et al [56] utilized a hybrid spatial indexing structure consisting of an octree and a 3D R*-tree to support spatial partitioning and querying of 3D geological models.…”

Size-Adaptive Texture Atlas Generation and Remapping for 3D Urban Building Models

“…High-precision 3D urban models are an important source of data for smart city systems [1] which has been widely used in facility management, development planning, emergency decision making, and so on. As the 3D urban model from UAV oblique photography still has the disadvantages of structural adhesion, white holes, mesh distortions, and texture missing, a manual 3D model is still necessary [2,3]. The high-precision manual modeling method augments the reality of the scene at the cost of the rapid increase in the amount of data.…”