A web-based intelligent system for the Daya Bay contingency plan in Hong Kong

James Liu, Raymond Lee, Jia You

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

Decision making is particularly important for emergency managers as they often need to make quick and high quality decisions under stress based on scratch and inadequate information; and to follow expert knowledge or past experience. The potential release of radioactive material from the Guangdong Nuclear Power Station (GNPS) at Daya Bay, though is highly unlikely, could perhaps be the most dreaded disaster which would cause drastic damages to lives and properties. The Government of the Hong Kong Special Administrative Region Government (HKSAR) has therefore in 1990 completed the Daya Bay Contingency Plan (DBCP) to prepare for such disasters. To supplement the experts in assisting disaster managers with a useful tool to make better quality decisions based on well-structured, accurate, sufficient expert knowledge, a prototype expert system has been developed to cover two major areas of the plan, namely: (A) Determination of activation level of the DBCP and provision of an action checklist and (B) recommendation on counter-measures.
Original languageEnglish
Pages (from-to)1437-1442
Number of pages6
JournalIJCAI International Joint Conference on Artificial Intelligence
Publication statusPublished - 1 Dec 2001
Event17th International Joint Conference on Artificial Intelligence, IJCAI 2001 - Seattle, WA, United States
Duration: 4 Aug 200110 Aug 2001

ASJC Scopus subject areas

  • Artificial Intelligence

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