Since there is no computer system for general management of dangerous and disaster prone facilities that handle dangerous substances and data for disaster prevention facilities in Industrial Complex of Korea, much manpower and time are required to discover risk factors and identify spreading of dangerous. This paper proposes an disaster prevention platform system based on sensor, scenarios for disaster response, collective Intelligence for detection of chemical disaster signs and effective initial response to disasters on Yeosu Industrial Complex.

This study analyzes the existing case studies on the harmful chemical accident response system and analyzes the factors for decision - making and decision - making in the hazardous chemical accident site. Based on the conceptual model of collective intelligence as a new decision - making method, we will build a decision - making model based on collective intelligence that can be applied in the hazardous chemical accident site. The collective intelligence model proposed in this study is designed around hazardous chemical accidents, and it is necessary to conduct empirical studies through the composition of more specific expert groups.

Since there is no computer system for general management of dangerous and disaster prone facilities that handle dangerous substances and data for disaster prevention facilities in Industrial Complex of Korea, much manpower and time are required to discover risk factors and identify spreading of dangerous. This paper proposes an disaster prevention platform system based on sensor, scenarios for disaster response, collective Intelligence for detection of chemical disaster signs and effective initial response to disasters on Yeosu Industrial Complex.