Development of the IoT-based home condition monitoring system for the estimation of abnormal location and the evaluation of electrical safety grade

Background/Objectives: Generally, multi-family residential does not carry out a periodic inspection although the electrical installation for general use conducted periodic inspection every one to four years. Accordingly, the houses that did not conduct the periodic inspection are exposed to electric dangers like fire and electric shock. So, the IoT-based monitoring system is developed to reduce the electrical accident. Methods/Statistical analysis: The fire and electric shock statistics were analyzed to evaluate the electrical safe score and the algorithm for estimating the abnormal location is introduced. To conform the monitoring system, the experiment consisted of the smart panel board and outlet was conducted. Findings: Although some electric devices are operated on the IoT, most devices supply services confirming it's operating status and power usage, not a services estimating the abnormal condition and electrical safety grade. By providing the abnormal location with electrical safety grade, the user and manager can take an action to prevent an accident aforetime. Improvements/Applications: By using an abnormal condition monitoring system of the electrical installation based on IoT devices, the electrical dangers due to the absence of electrical periodic inspection can be reduced in multifamily residential.