Fan Yang, Jing Zhang, Qian Lei, Guoping Li, Jianwei Liu, Zhicheng Wang
{"title":"Mudslide Disaster Monitoring and Early Warning System Based on ESP32","authors":"Fan Yang, Jing Zhang, Qian Lei, Guoping Li, Jianwei Liu, Zhicheng Wang","doi":"10.1109/AICIT55386.2022.9930199","DOIUrl":null,"url":null,"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.","PeriodicalId":231070,"journal":{"name":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICIT55386.2022.9930199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.