A Visualization Processing Model for Underground Space Deformation Safety Level Based on BHR Composite Network

Author

Wei Zheng ; Xiaoya Zhang ; Qi Lu

Author_Institution

Key Lab. for Optoelectron. Technol. & Syst. of the Educ. Minist. of China, Chongqing Univ., Chongqing, China

Volume

2

fYear

2014

Firstpage

309

Lastpage

312

Abstract

Based on BHR composite network, a visualization processing model for underground space deformation safety level is proposed. First, the monitoring data acquired by sensors are normalized. Then BHR composite network is proposed to classify the normalized data automatically. The classification results are mapped into a color space to form different colors afterwards, with which different deformation safety levels are distinguished. The model is applied to an experiment of deformation safety level monitoring, and the deformation safety levels are visualized with deformation values displaying synchronously.

Keywords

civil engineering computing; data visualisation; deformation; geotechnical engineering; pattern classification; safety; BHR composite network; deformation safety level monitoring; monitoring data; normalized data classification; underground space deformation safety level; visualization processing model; Data visualization; Hopfield neural networks; Image color analysis; Monitoring; Neurons; Safety; Sensors; composite network; deformation safety levels; underground space; visualization processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on

Print_ISBN

978-1-4799-7004-9

Type

conf

DOI

10.1109/ISCID.2014.71

Filename

7081995