{"title":"利用物联网传感器网络和机器学习进行洪水预测","authors":"S. Suresh","doi":"10.30534/ijccn/2020/06922019","DOIUrl":null,"url":null,"abstract":"Floods are one of the most common natural disasters that affects humanity. Unless we take the proper precautions, it will endanger human life itself. Flood prediction using IoT enabled sensor network and machine learning outlines a very efficient way to properly understand and manage floods. This technology can be used to evaluate the risk of flooding, there by speeding up precautionary measures. IoT is a network of computing devices with unique identifiers which helps transferring data across the devices without interaction between human and computers. By using different sensors, information about various environmental conditions were collected and transfer it to google sheet with the help of IoT technology. The client can analyse the data in the form of dataset from a remote device and predict the risk of flood.","PeriodicalId":313852,"journal":{"name":"International Journal of Computing, Communications and Networking","volume":"239 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Flood Prediction Using IoT Enabled Sensor Network and Machine Learning\",\"authors\":\"S. Suresh\",\"doi\":\"10.30534/ijccn/2020/06922019\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Floods are one of the most common natural disasters that affects humanity. Unless we take the proper precautions, it will endanger human life itself. Flood prediction using IoT enabled sensor network and machine learning outlines a very efficient way to properly understand and manage floods. This technology can be used to evaluate the risk of flooding, there by speeding up precautionary measures. IoT is a network of computing devices with unique identifiers which helps transferring data across the devices without interaction between human and computers. By using different sensors, information about various environmental conditions were collected and transfer it to google sheet with the help of IoT technology. The client can analyse the data in the form of dataset from a remote device and predict the risk of flood.\",\"PeriodicalId\":313852,\"journal\":{\"name\":\"International Journal of Computing, Communications and Networking\",\"volume\":\"239 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computing, Communications and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30534/ijccn/2020/06922019\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computing, Communications and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/ijccn/2020/06922019","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Flood Prediction Using IoT Enabled Sensor Network and Machine Learning
Floods are one of the most common natural disasters that affects humanity. Unless we take the proper precautions, it will endanger human life itself. Flood prediction using IoT enabled sensor network and machine learning outlines a very efficient way to properly understand and manage floods. This technology can be used to evaluate the risk of flooding, there by speeding up precautionary measures. IoT is a network of computing devices with unique identifiers which helps transferring data across the devices without interaction between human and computers. By using different sensors, information about various environmental conditions were collected and transfer it to google sheet with the help of IoT technology. The client can analyse the data in the form of dataset from a remote device and predict the risk of flood.