Title :
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
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;
Conference_Titel :
Computational Intelligence and Design (ISCID), 2014 Seventh International Symposium on
Print_ISBN :
978-1-4799-7004-9
DOI :
10.1109/ISCID.2014.71
