Research on visual technology in geotechnical information system based on LBS

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (5): 228-231.

• 工程与应用 • Previous Articles Next Articles

Research on visual technology in geotechnical information system based on LBS

LI Weibo1, LI Zhenzhong2, HE Pin3

1.Hubei Provincial Key Lab of Intelligent Robot, Wuhan Institute of Technology, Wuhan 430073, China
2.Department of Electronic Engineering, University of Waterloo, Waterloo, ON N2L3G1, Canada
3.Wuhan Jihua Computer System Co. Ltd, Wuhan 430073, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-02-11 Published:2012-02-11

移动位置服务的岩土信息可视化技术研究

李伟波1，李振中2，何频3

1.武汉工程大学智能机器人湖北省重点实验室，武汉 430073
2.滑铁卢大学电子工程系，加拿大安省滑铁卢 N2L3G1
3.武汉基华电脑系统有限公司，武汉 430073

Abstract

Abstract: Geotechnical investigation information system is a typical Location Based Services（LBS） application which is closely related to geographic positioning. Based on the LBS demand on the flexibility to multiple mobile clients and complexity of graphic presentation, this paper primarily focuses on researching SVG-based positioning models and graphical representation models. It proposes a suitable SVG-based positioning model for geotechnical investigation and SVG-based information visualization method for geotechnical investigation. The realization of applications for remote position inquiry of engineering investigation and for verification on visualization of geographical layers in the field becomes possible just through mobile client.

Key words: location based services, Scalable Vector Graphics（SVG）, visualization, geotechnical investigation

摘要： 工程勘察岩土信息服务系统是和地理位置密切相关的典型LBS应用，针对其要求适应多种的移动终端和岩土数据图形表示复杂的特点，重点研究了SVG技术的特点、移动定位计算方法和岩土信息可化表示方法，提出了适合岩土信息服务的简化计算方法的SVG定位模型和SVG岩土信息分层可视化描述模型，实现了通过手机等移动客户端进行工程勘察数据的远程原位置查询、地层图形显示验证的应用服务。

关键词: 位置服务, 可缩放矢量图形（SVG）, 可视化, 工程勘察

LI Weibo1, LI Zhenzhong2, HE Pin3. Research on visual technology in geotechnical information system based on LBS[J]. Computer Engineering and Applications, 2012, 48(5): 228-231.

李伟波1，李振中2，何频3. 移动位置服务的岩土信息可视化技术研究[J]. 计算机工程与应用, 2012, 48(5): 228-231.

[1]	YU Lei, XU Guangluan, WANG Yang, LIN Daoyu, LI Feng. Research on Multidimensional Visualization of Heterogeneous Network Based on Dynamic Projection Embedding [J]. Computer Engineering and Applications, 2021, 57(8): 145-152.
[2]	WANG Youfa, ZHOU Yuanyuan, LUO Jianqiang. Analysis of Hotspots and Progress in Intelligent Manufacturing in Recent 20 Years [J]. Computer Engineering and Applications, 2021, 57(6): 49-57.
[3]	LI Xiaoying, TANG Donglin. Creative Thinking Knowledge Service with User-Generated Content [J]. Computer Engineering and Applications, 2021, 57(4): 236-244.
[4]	JIANG Yangyang, JIN Bo, ZHANG Baochang. Research Progress of Natural Language Processing Based on Deep Learning [J]. Computer Engineering and Applications, 2021, 57(22): 1-14.
[5]	CHEN Xiaohan, WEI Shuning, QIN Zhengze. Malware Family Classification Based on Deep Learning Visualization [J]. Computer Engineering and Applications, 2021, 57(22): 131-138.
[6]	REN Zhuojun, CHEN Guang, LU Wenke. Research on Visualization Method of Malware Opcodes [J]. Computer Engineering and Applications, 2021, 57(18): 130-134.
[7]	YANG Geying, SHEN Xiajiong, SHI Xianjin, ZHANG Lei. Visualization of Association Rules in Context of Concept Lattices [J]. Computer Engineering and Applications, 2021, 57(1): 84-91.
[8]	ZHANG Di, YANG Pei, DENG Xinbo, ZHAO Qianchuan. ASExplorer： Multi-dimensional Correlation Visual Analysis System Based on Joint Entropy [J]. Computer Engineering and Applications, 2021, 57(1): 99-109.
[9]	WEI Shichao, LI Xin, ZHANG Yichi, ZHOU Xiaofeng, LI Shuai. Dimension Reduction and Visualization of Mixed-Type Data Based on E-t-SNE [J]. Computer Engineering and Applications, 2020, 56(6): 66-72.
[10]	WANG Jiarun, SUN Yunan, YIN Hui, YANG Zhilong. Terrain Fitting and Double Convex Preserving for Visual Modeling of Military Target Relations [J]. Computer Engineering and Applications, 2020, 56(5): 270-278.
[11]	WANG Zhangang. Visualization Model of Spatio-Temporal Process Oriented to Perceptual Features of Visual Variables [J]. Computer Engineering and Applications, 2020, 56(4): 50-56.
[12]	ZHAI Yongjie, YANG Xu, WANG Jinna, WANG Kunfeng, ZHAO Zhenbing. Visual Analysis of Deep Convolutional Neural Networks in Parallel Vision Framework [J]. Computer Engineering and Applications, 2020, 56(19): 139-145.
[13]	ZHANG Gongsen, GUO Yi, LI Yongzhe, PEI Xi, XU Xie, ZHOU Jieping. Medical Accelerator Collision Detection Method Combined with Augmented Reality [J]. Computer Engineering and Applications, 2020, 56(17): 197-202.
[14]	ZHU Shiqi, Nurbol. Bibliometric Analysis of Current Studies and Developing Trends on Phishing Sites Detection [J]. Computer Engineering and Applications, 2020, 56(15): 92-100.
[15]	WANG Yong, WANG Song, ZHANG Hongying. Design and Implementation of Network Structure Visualization System Based on B/S Framework [J]. Computer Engineering and Applications, 2020, 56(11): 230-237.

Research on visual technology in geotechnical information system based on LBS

移动位置服务的岩土信息可视化技术研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics