{"title":"基于多源降雨数据的地质灾害预警系统设计","authors":"Dang Yuning, Zhao Chunyong","doi":"10.1109/ICSCDE54196.2021.00040","DOIUrl":null,"url":null,"abstract":"Aiming at the problem that traditional early warning systems ignore the multi-source nature of rainfall data, leading to poor geological hazard early warning, a geological hazard early warning system based on multi-source rainfall data is proposed and designed. This system includes multiple monitoring subsystems, mainly rainwater, early warning, etc., combined with early warning indicators to give the system's power supply module, temperature and humidity module, processor circuit, rain power supply, liquid level sensor circuit and other hardware structures; in software design In the process, based on the weighted moving average combined with the linear system, the filter mathematical model is established to analyze the relationship between the accumulated rainfall and the rainfall intensity, and the multi-source rainfall data statistics are realized. Experimental results show that the use of improved design early warning system can effectively improve the accuracy of early warning, enhance the effect of early warning, and the early warning results are more in line with actual conditions.","PeriodicalId":208108,"journal":{"name":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design of geological disaster early warning system based on multi source rainfall data\",\"authors\":\"Dang Yuning, Zhao Chunyong\",\"doi\":\"10.1109/ICSCDE54196.2021.00040\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aiming at the problem that traditional early warning systems ignore the multi-source nature of rainfall data, leading to poor geological hazard early warning, a geological hazard early warning system based on multi-source rainfall data is proposed and designed. This system includes multiple monitoring subsystems, mainly rainwater, early warning, etc., combined with early warning indicators to give the system's power supply module, temperature and humidity module, processor circuit, rain power supply, liquid level sensor circuit and other hardware structures; in software design In the process, based on the weighted moving average combined with the linear system, the filter mathematical model is established to analyze the relationship between the accumulated rainfall and the rainfall intensity, and the multi-source rainfall data statistics are realized. Experimental results show that the use of improved design early warning system can effectively improve the accuracy of early warning, enhance the effect of early warning, and the early warning results are more in line with actual conditions.\",\"PeriodicalId\":208108,\"journal\":{\"name\":\"2021 International Conference of Social Computing and Digital Economy (ICSCDE)\",\"volume\":\"112 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference of Social Computing and Digital Economy (ICSCDE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCDE54196.2021.00040\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference of Social Computing and Digital Economy (ICSCDE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCDE54196.2021.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of geological disaster early warning system based on multi source rainfall data
Aiming at the problem that traditional early warning systems ignore the multi-source nature of rainfall data, leading to poor geological hazard early warning, a geological hazard early warning system based on multi-source rainfall data is proposed and designed. This system includes multiple monitoring subsystems, mainly rainwater, early warning, etc., combined with early warning indicators to give the system's power supply module, temperature and humidity module, processor circuit, rain power supply, liquid level sensor circuit and other hardware structures; in software design In the process, based on the weighted moving average combined with the linear system, the filter mathematical model is established to analyze the relationship between the accumulated rainfall and the rainfall intensity, and the multi-source rainfall data statistics are realized. Experimental results show that the use of improved design early warning system can effectively improve the accuracy of early warning, enhance the effect of early warning, and the early warning results are more in line with actual conditions.