정수처리장 재난 및 비상대응을 위한 의사결정지원(DSS) 시스템을 위한 데이터베이스 구축에 관한 연구 = A study on database of decision support system for emergency response at the water treatment plant

다국어 초록 (Multilingual Abstract)

The frequency of social disasters or emergency events as well as the intensity of natural disasters are increasing globally. In Korea, damage caused by natural disasters is occurring as a social issue. In 2016, a total of 188 events (12 heavy rains, 3 heavy rains, 2 typhoons, 1 earthquake) occurred, resulting in total damage of 288.3 billion won. The disaster recovery cost of 590.6 billion won was spent on the government budget.
Recently, as government SOC budgets have been steadily declining, it is necessary to revitalize disaster breadcrumb and operational technology market based on high value-added industries (IoT, ICT, Big Data) for efficient SOC budget use
In this study, developing database for emergency response using computing decision support system (DDS) at the water treatment plant was collected to make expert system or emergency response and restoration of environmental facilities.