Mudslide Disaster Monitoring and Early Warning System Based on ESP32

Fan Yang, Jing Zhang, Qian Lei, Guoping Li, Jianwei Liu, Zhicheng Wang
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Abstract

Mudslide disasters have a great impact on human society, and severe mudslide disasters can cause significant casualties and property damage. In order to reduce the damage caused by natural disasters to human society, this paper designs a mudflow disaster monitoring and early warning system based on ESP32 module. The system uses rainfall sensor, fractometer, soil moisture content sensor and infrasound sensor to obtain corresponding data. The 4G module transmits these data to the cloud server for data processing and judgment of debris flow risk. The processed data is displayed in the WeChat applet. The results show that the system can monitor the environmental conditions of the target area from a long distance and provide a more accurate early warning of mudslide disasters.
基于ESP32的泥石流灾害监测预警系统
泥石流灾害对人类社会的影响巨大,严重的泥石流灾害会造成重大的人员伤亡和财产损失。为了减少自然灾害对人类社会造成的损害,本文设计了一个基于ESP32模块的泥石流灾害监测预警系统。系统采用降雨传感器、破碎计、土壤含水量传感器和次声传感器获取相应数据。4G模块将这些数据传输到云服务器进行数据处理和泥石流风险判断。处理后的数据显示在微信小程序中。结果表明,该系统能够远距离监测目标区域的环境状况,为泥石流灾害预警提供更准确的依据。
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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