文章基本信息

标题：Context Inference for Predicting Cause of Protection Wall Deformation
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作者：Donghyok Suh ; Jeonghwa Song ; Kunsoo Oh 等
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2012
卷号：6
期号：2
出版社：SERSC
摘要：Measures for inferring context through multiple sensor data fusion are being actively used in various fields. The landslide protection wall refers to the structure/engineering method that prevents the collapse of soil during ground excavation. To prevent safety accidents of the landslide protection wall, it is necessary to devise measures for detecting the deformation of the landslide protection wall and for inferring the cause of the deformation. Context inference through multiple sensor data fusion can be used to analyze the influential factors of the problem among safety-threatening factors during generation of anomalous events in the landslide protection wall. This study presents the method for inferring decisive factors through multiple sensor data fusion based on the Dempster-Shafer evidence theory in an environment in which the deformation of the landslide protection wall is affected by earth pressure, water pressure and surcharge effect. Based on the Basic Probability Assignment (BPA) function of factors, this study calculated the belief and plausibility of factors through Dempster’s Rule of Combination. Uncertainty intervals can be calculated and compared with one another based on the belief and plausibility of factors to achieve inference of decisive factors
关键词：Dempster-Shafer Evidence Theory; Multi-sensor data fusion; Context inference