Authors : Ki-Yeon Lee, Hyun-Wook Moon, Dong-Woo Kim, Young-Bea Lim and In-Ho Ryu
Abstract: This study, presents a technology of predicting electrical accidents (Precursor Prediction) by applying a mash-up analysis algorithm, a core technology for Autonomous Electrical Safety Management System (AESMS) of multi-unit dwellings. In order to develop a mash-up analysis algorithm, this study conducted an integrated analysis on separately-controlled electrical safety management factors such as voltage, current, leakage current and arc occurrence. For an integrated management of those factors, a mash-up DAQ board was designed and each management factor’s data was measured using the designed board, its performance was verified by analyzing the measured waveforms. The mash-up analysis algorithm gauges the electrical safety rating by summing the weights of individual electrical safety management factors for some of the factors, however, this study suggests a different way of calculation that considers the incidence rate (e.g., time). The mash-up analysis algorithm proposed in this study can be used for implementation of AESMS to ensure electrical safety of multi-unit dwellings. The mash-up analysis technology enables predication/prevention of electrical disasters and is likely to be utilized as the basic technology for introducing AESMS. Going forward, verifying weights of electrical safety data presented in this study will be required and a field data analysis will also be needed to validate the efficiency of the weights. In order to analyze the field data under a range of conditions, it will be necessary to construct a standardized model of the multi-unit dwellings and to implement a server for monitoring/data collection.
Ki-Yeon Lee, Hyun-Wook Moon, Dong-Woo Kim, Young-Bea Lim and In-Ho Ryu, 2017. A Study on Mash-up Analysis Algorithm for Electrical Hazard Risk Factor. Journal of Engineering and Applied Sciences, 12: 6535-6541.