滑坡监测系统中的边坡、湿度和振动传感器性能

E. Susanto, F. Budiman, Doan Perdana Husneni Mukhtar, Muhammad Hamdan Latief
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引用次数: 4

摘要

提出了一种嵌入式物联网滑坡灾害监测系统的设计方案。对人工降雨和地震引起的土壤位移进行了在线和实时的滑坡监测研究。研究了三种用于土壤运动监测的传感器性能:坡度、湿度和振动。传感器实测数据表明,各参数均具有滑坡监测的潜在表现。系统采用传感器检测构建,数据处理通过云服务在web服务器上完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slope, Humidity and Vibration Sensors Performance for Landslide Monitoring System
A design of landslide disaster monitoring system, that embedded with Internet of Things (IoT) are presented. Several monitoring studies on landslide detection were carried out onto soil displacement caused by artificial rainfall and earthquake, in online and real time mode. Three sensors performance for soil movement monitoring that investigated were slope, humidity and vibration. Data measurement on sensors shows that all parameter has potential presentation for landslide monitoring. The system was built using sensors detection, and data was processed to be completed on the web server through cloud services.
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