An Artificial Intelligence (AI) Approach to Controlling Disaster Scenarios

M. Schofield
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引用次数: 1

Abstract

Natural disasters have the potential to cause catastrophic damage and massive economic losses. Actual damages and losses have been increasing in recent years. As a result, disaster managers bear a greater responsibility to safeguard their communities in advance by developing effective management strategies. Numerous studies have been conducted on the processing of disaster-related data using artificial intelligence (AI) techniques, all with the goal of developing more effective disaster management strategies. This chapter summarises current AI applications in the four phases of disaster management: mitigation, preparation, response, and recovery. Numerous AI techniques can be applied to various stages of disaster management, and several practical AI-based decision support tools are demonstrated. It seems that the vast majority of artificial intelligence applications are focused on disaster preparedness and response.
控制灾难场景的人工智能(AI)方法
自然灾害有可能造成灾难性的破坏和巨大的经济损失。近年来,实际损害和损失一直在增加。因此,灾害管理人员承担着更大的责任,通过制定有效的管理战略提前保护他们的社区。利用人工智能(AI)技术处理与灾害有关的数据已经进行了大量研究,所有这些研究的目标都是制定更有效的灾害管理战略。本章总结了目前人工智能在灾害管理四个阶段的应用:减轻、准备、响应和恢复。许多人工智能技术可以应用于灾害管理的各个阶段,并展示了几种实用的基于人工智能的决策支持工具。似乎绝大多数人工智能应用都集中在灾难准备和响应上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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