earticle

영어

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