Brazilian natural disasters integrated into cyber-physical systems: computational challenges for landslides and floods in urban ecosystems

A. Santos, A. Corsi, Igor C. Teixeira, V. L. Gava, Filipe A. M. Falcetta, E. Macedo, C. D. S. Azevedo, Karlson T. B. de Lima, K. Braghetto
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引用次数: 1

Abstract

Natural disasters cause a high impact in society, resulting in human and economic losses, so much so that increasing the efficiency in monitoring these phenomena becomes a necessity. The integration of cyber-physical systems and their IoT devices, connectivity, machine learning, and Big Data can help to achieve this efficiency. This paper presents key points of the phenomenology of these processes, with challenges and opportunities for applied computing in urban environmental studies in Brazil, as well as investigates studies and techniques that have been used to monitor landslides and floods.
巴西自然灾害整合到网络物理系统:城市生态系统中滑坡和洪水的计算挑战
自然灾害对社会造成严重影响,造成人员和经济损失,因此必须提高监测这些现象的效率。网络物理系统及其物联网设备、连接、机器学习和大数据的集成可以帮助实现这种效率。本文介绍了这些过程的现象学要点,以及巴西城市环境研究中应用计算的挑战和机遇,并调查了用于监测山体滑坡和洪水的研究和技术。
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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