{"title":"基于BHR复合网络的地下空间变形安全等级可视化处理模型","authors":"Wei Zheng, Xiaoya Zhang, Qi Lu","doi":"10.1109/ISCID.2014.71","DOIUrl":null,"url":null,"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.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Visualization Processing Model for Underground Space Deformation Safety Level Based on BHR Composite Network\",\"authors\":\"Wei Zheng, Xiaoya Zhang, Qi Lu\",\"doi\":\"10.1109/ISCID.2014.71\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":385391,\"journal\":{\"name\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2014.71\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2014.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Visualization Processing Model for Underground Space Deformation Safety Level Based on BHR Composite Network
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.
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