IOT Based Smart LandSlide Detection System (S-LDS)

Amruta Amune, Swapnil Patil, Devyani Ushir, Akshata Nangare
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Abstract

India has been identified as a hotspot for landslides and related disasters. It is impacting nearly all hilly/mountain regions, particularly the Himalayan region. Disasters are becoming increasingly significant and devastating, both in terms of magnitude and frequency. It is resulting in significant loss of human life and property, as well as stifling development in hilly areas. As a result, landslide catastrophe mitigation is one of India's top concerns. This research proposes a low-fee, electricity-efficient, and reliable Landslide Early Warning System (LEWS) for Himalayan landslides to lessen the probability of such tragedies. It's a landslide monitoring system based on Internet of Things (IoT) protocols, with a Wireless Sensor Network (WSN), records amassing, and analysis unit.
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基于物联网的智能滑坡检测系统(S-LDS)
印度已被确定为山体滑坡和相关灾害的热点地区。它正在影响几乎所有的丘陵/山区,特别是喜马拉雅地区。灾害在规模和频率方面正变得越来越严重和具有破坏性。它造成了重大的生命和财产损失,并扼杀了丘陵地区的发展。因此,减轻山体滑坡灾害是印度最关心的问题之一。本研究提出了一种低费用、节能、可靠的喜马拉雅滑坡预警系统(LEWS),以减少此类悲剧发生的可能性。这是一个基于物联网(IoT)协议的滑坡监测系统,具有无线传感器网络(WSN)、记录收集和分析单元。
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