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

2020 ◽  
Vol 9 (11) ◽  
pp. 623
Author(s):  
Zihe Hu ◽  
Jing Guo ◽  
Xuequan Zhang
Keyword(s):  
Data Structure ◽  
Large Scale ◽  
Three Dimensional ◽  
Heterogeneous Data ◽  
Parametric Modeling ◽  
City Management ◽  
Pipe Network ◽  
Web Based ◽  
Underground Pipe ◽  
Pipe Networks

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.

scholarly journals BRLO-Tree: A Data Structure Used for 3D GIS Dynamic Scene Rendering

2015 ◽  
Vol 15 (4) ◽  
pp. 124-137 ◽  
Author(s):  
Wenju Wang ◽  
Zhang Xuan ◽  
Liujie Sun ◽  
Zhongmin Jiang ◽  
Jingjing Shang
Keyword(s):  
Data Structure ◽  
Large Scale ◽  
Three Dimensional ◽  
Level Of Detail ◽  
Dynamic Scene ◽  
3D Gis ◽  
Dynamic Scenes ◽  
Complex Dynamic ◽  
3D Objects ◽  
System A

Abstract BRLO-Tree (Block-R-Tree-Loose-Octree) is presented in this paper based on the R-Tree and Loose-Octree. The aim of the structure is to visualize the large scale and complex dynamic scenes in a 3D (three-dimensional) GIS (Geographic Information System). A new method of clustering rectangles to construct R-tree based on an improved K-means algorithm is put forward. Landform in 3D GIS is organized by R-Tree. The block is used as the basic rendering unit. The 3D objects of each block are respectively organized by a Loose-Octree. A series of techniques, based on this data structure, such as LOD (Level of Detail), relief impostors are integrated. The results of the tests show that BRLO-Tree cannot only support the large scale 3D GIS scene exhibition with wandering and fighting, but it can also efficiently manage the models in a dynamic scene. At the same time, a set of integrated techniques based on BRLO-Tree can make the rendering pictures more fluence and the rendering time vastly improved.

scholarly journals Disorder Atlas: web-based software for the proteome-based interpretation of intrinsic disorder predictions

2016 ◽  
Author(s):  
Michael Vincent ◽  
Santiago Schnell
Keyword(s):  
Large Scale ◽  
Intrinsically Disordered Proteins ◽  
Three Dimensional ◽  
Intrinsic Disorder ◽  
Query Protein ◽  
Disordered Proteins ◽  
Dimensional Structure ◽  
Web Based ◽  
Intrinsically Disordered ◽  
Eukaryotic Proteomes

AbstractIntrinsically disordered proteins lack a stable three-dimensional structure under physiological conditions. While this property has gained considerable interest within the past two decades, disorder poses substantial challenges to experimental characterization efforts. In effect, numerous computational tools have been developed to predict disorder from primary sequences, however, interpreting the output of these algorithms remains a challenge. To begin to bridge this gap, we present Disorder Atlas, web-based software that facilitates the interpretation of intrinsic disorder predictions using proteome-based descriptive statistics. This service is also equipped to facilitate large-scale systematic exploratory searches for proteins encompassing disorder features of interest, and further allows users to browse the prevalence of multiple disorder features at the proteome level. As a result, Disorder Atlas provides a user-friendly tool that places algorithm-generated disorder predictions in the context of the proteome, thereby providing an instrument to compare the results of a query protein against predictions made for an entire population. Disorder Atlas currently supports ten eukaryotic proteomes and is freely available for non-commercial users at http://www.disorderatlas.org.

Construction and Sustainable Development of Pipe Networks of Underground Drainage System

2013 ◽  
Vol 438-439 ◽  
pp. 1076-1079 ◽  
Author(s):  
Qin Shan Li ◽  
Tie Cheng Wang
Keyword(s):  
Drainage System ◽  
Vital Role ◽  
Pipe Network ◽  
City Development ◽  
Underground Pipe ◽  
Pipe Networks ◽  
Disastrous Effect ◽  
Drainage Pipe ◽  
City Construction ◽  
The City

The urban underground pipe network plays a vital role in the city development, the construction of unreasonable urban pipe networks restricts the city development, even has a disastrous effect on the city. However, it is not desirable to overstate the investment of the urban underground pipe network excessively. It is an important subject of the city construction that how to establish reasonable urban pipe networks to meet service conditions of underground pipe networks. Because the construction of underground drainage pipe networks of most of the major cities in our country mainly comes from the 50s of last century and there are more pipe network system with the development of the city, it is the main content of our research that how to reform and construct them under the condition of existing underground pipe networks.

scholarly journals A Hybrid Framework for High-Performance Modeling of Three-Dimensional Pipe Networks

2019 ◽  
Vol 8 (10) ◽  
pp. 441 ◽  
Author(s):  
Shaohua Wang ◽  
Yeran Sun ◽  
Yinle Sun ◽  
Yong Guan ◽  
Zhenhua Feng ◽  
...  
Keyword(s):  
Spatial Data ◽  
Data Model ◽  
High Performance ◽  
3D Model ◽  
Performance Modeling ◽  
Three Dimensional ◽  
Network Data ◽  
Pipe Network ◽  
Pipe Networks ◽  
Hybrid Framework

Three-dimensional (3D) pipe network modeling plays an essential part in high performance-based smart city applications. Given that massive 3D pipe networks tend to be difficult to manage and to visualize, we propose in this study a hybrid framework for high-performance modeling of a 3D pipe network, including pipe network data model and high-performance modeling. The pipe network data model is devoted to three-dimensional pipe network construction based on network topology and building information models (BIMs). According to the topological relationships of the pipe point pipelines, the pipe network is decomposed into multiple pipe segment units. The high-performance modeling of 3D pipe network contains a spatial 3D model, the instantiation, adaptive rendering, and combination parallel computing. Spatial 3D model (S3M) is proposed for spatial data transmission, exchange, and visualization of massive and multi-source 3D spatial data. The combination parallel computing framework with GPU and OpenMP was developed to reduce the processing time for pipe networks. The results of the experiments showed that the hybrid framework achieves a high efficiency and the hardware resource occupation is reduced.

An Efficient Contact Search Algorithm for Three-Dimensional Sphere Discontinuous Deformation Analysis

2020 ◽  
pp. 2050044
Author(s):  
Ganghai Huang ◽  
Yuanzhen Xu ◽  
Xiaofeng Chen ◽  
Jianjun Ma ◽  
Shu Zhang
Keyword(s):  
Data Structure ◽  
Large Scale ◽  
Search Algorithm ◽  
Three Dimensional ◽  
Discontinuous Deformation Analysis ◽  
Deformation Analysis ◽  
Dimensional Sphere ◽  
Contact Search ◽  
Direct Search Algorithm ◽  
Discontinuous Deformation

The efficiency of contact search is one of the key factors related to the computational efficiency of three-dimensional sphere discontinuous deformation analysis (3D SDDA). This paper proposes an efficient contact search algorithm, called box search algorithm (BSA), for 3D SDDA. The implementation steps and data structure for BSA are designed, with a case study being conducted to verify its efficiency. The data structure also has been improved for parallelizing the computation in contact search. For the demonstration of the proposed algorithm (BSA), six cases with various sphere numbers are simulated. Simulation results show that the time consumed in contact search using BSA (CTofBSA) is much less than that by the direct search algorithm (DSA) (CTofDSA). For the case with 12,000 spheres, CTofBSA is 1.1[Formula: see text]h, which is only 1.3% of CTofDSA (84.62[Formula: see text]h). In addition, the proportion of the computation quantity of contact search in the entire computation (Pcs) is 91.3% by using DSA, while this value by BSA is only 12.4%, which demonstrates the contribution of BSA. The efficiency brought about by BSA (time consumed and computation quantity) may enable 3D SDDA to simulate large-scale problems.

A Study on 3D Modeling-Mapping Technology in Underground Pipelines Detection

2012 ◽  
Vol 479-481 ◽  
pp. 385-388
Author(s):  
Lin Wen Jun Zhang ◽  
Nan Lin ◽  
Kai Sheng He ◽  
Deng Wei Tao ◽  
Xian Gang Bi ◽  
...  
Keyword(s):  
Software Design ◽  
Three Dimensional ◽  
Scientific Management ◽  
Pipe Network ◽  
Combined Method ◽  
Three Dimensional Model ◽  
Underground Pipe ◽  
Underground Pipelines ◽  
Mapping Technology ◽  
Non Destructive

By collecting the data of the ground scene and non-destructive detecting of the underground pipe network, using freeform software design of the data collected by the three-dimensional color modeling and rapid prototyping systems will underground complex pipeline modeling, using ground-dimensional graphics and three-dimensional model of underground pipe network combined method, This paper is trying to find out an effective presentation method for the distribution of underground pipe network. Thus, an efficient, realistic, intuitive three-dimensional rapid mapping prototyping service technology corresponds to the ground and underground pipe network scenario is applied to urban planning, municipal infrastructure, scientific management, maintenance and reconstruction.

The Method Creating UML Model about Heat Pipe Network Data

2015 ◽  
Vol 713-715 ◽  
pp. 2511-2514
Author(s):  
Hai Feng Wu ◽  
Lin Ping Li ◽  
Jin Ming Yang
Keyword(s):  
Data Structure ◽  
Data Model ◽  
Use Case ◽  
Structure Model ◽  
Pipe Network ◽  
Static Structure ◽  
Modeling Tools ◽  
Application System ◽  
Pipe Networks ◽  
System Data

The UML model of database is a frame foundation of developing a database, this paper recommends a way to build data model based on the urban heating pipe networks by using VISIO[1] modeling tools. There are two ways that Use Case Diagram and Static Structure Diagram. The article describes the function of database application system, data structure and relationship on the heating-pipe network. The data structure model makes it more clear and lower redundancy when the developers are developing an application system of database.

Spatial Analysis and 3D Simulation of Underground Pipe Network Based on ArcGIS

2013 ◽  
Vol 353-356 ◽  
pp. 2948-2952
Author(s):  
Zheng Zhong Wu ◽  
Jun Ping Liu ◽  
Jing Jin ◽  
Hua Wang
Keyword(s):  
Spatial Data ◽  
3D Visualization ◽  
Three Dimensional ◽  
Pipe Network ◽  
Data Types ◽  
Underground Pipe ◽  
Digital Management ◽  
New Type ◽  
Spatial Data Model ◽  
The City

To resolve the problem that underground pipe network is large, complex, and difficult to manage, the management model based on ArcGIS was used. This paper aimed to transform the traditional data types of underground pipe network to a new type based on ArcGIS and to make statistical analysis and thematic maps output to the attribute datas for all underground pipes mainly including water supply network and drainage network. Through the analysis of pipe network visualization model implementation to build the spatial data model of three-dimensional pipe network, the automatic model from 2D to 3D would be achieved, then the new ways to realize the 3D visualization of urban underground pipe network would be provided. Taking the underground pipe network of a city as an example, the management system based on ArcGIS was built. The system running results show that the system could achieve the digital management of underground pipe network for the city and improve the management efficiency of the entire system.

Interactive Web Application for Traffic Simulation Data Management and Visualization

2021 ◽  
pp. 036119812110357
Author(s):  
Haowen Xu ◽  
Chieh (Ross) Wang ◽  
Anne Berres ◽  
Tim LaClair ◽  
Jibonananda Sanyal
Keyword(s):  
Web Application ◽  
Large Scale ◽  
Traffic Simulation ◽  
Content Management ◽  
Heterogeneous Data ◽  
Simulation Software ◽  
Metadata Standard ◽  
Web Based ◽  
Web Interfaces ◽  
Simulation Results

As traffic simulation software becomes more effective for realistically simulating and analyzing traffic dynamics and vehicle interactions on the mesoscopic and microscopic level, the management, dissemination, and collaborative visualization of traffic simulation results produced by individual transportation planners presents a significant challenge. Existing online content management systems have a very limited capability in allowing users to query specific traffic simulation scenarios and geospatially visualize simulation results through shareable and interactive web interfaces. This paper presents a web-based application for promoting the archiving, sharing, and visualization of large-scale traffic simulation outputs. The application is developed to enhance cyber-physical controls, communications, and public education for collaborative transportation planning. Unique features of the web application include: (a) allowing users to upload their new traffic simulation scenarios (parameters and outputs), as well as search existing scenarios using easily accessible interfaces; (b) optimizing simulation output files with heterogeneous data formats and projected coordinate systems for web-based storage and management using a scalable and searchable data/metadata standard; (c) standardizing user-uploaded simulation outputs using web interfaces and data processing libraries with parallel computing capacity; and (d) providing shareable web visual interfaces for visualizing the traffic flow and signal information stored in simulation outputs (e.g., regional traffic patterns and individual vehicle interactions) and visually comparing multiple simulation outputs both spatially and temporally. The paper presents the conceptual design and implementation of this application, and demonstrates the application’s performance for sharing, comparing, and visualizing simulation outputs from VISSIM and SUMO, two commonly used traffic simulation software programs.

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