Data-driven AI emergency planning in process industry

Abstract

Whether it is through crisis mapping or event simulation, Artificial Intelligence (AI) is a pioneering new method of emergency planning. It uses the analysis of information or data from deep learning to predict the evacuation routes, allocate emergency resources reasonably and estimate the location of disaster. To overcome the difficulties of handling many resources emergency information and the variability of production environment, AI provides advanced analytics tools for processing and analyzing big data of emergency management. This paper presents a comprehensive survey of emergency planning technologies based on AI and discusses their applications in making emergency planning robust and efficiency. The development of AI technologies of emergency planning and their advantages over conventional data-driven emergency technologies are firstly discussed. Several representative emergency planning technologies based on deep learning models are compared. Finally, future trends and opportunities related to AI for emergency planning technologies are summarized.