{"title":"A Remote Monitoring System for Water Quality Based on GPRS in Poor Signal Environment-Poyang Lake for Example","authors":"M. He, Chaoyang Fang, Qi Huang, Jilin Yan","doi":"10.1109/GEOINFORMATICS.2018.8557181","DOIUrl":null,"url":null,"abstract":"The role of sensor network technology in remote environmental monitoring and data collection have long been recognized especially for environmental monitoring, which can realize real-time, continuous and efficient monitoring. Now, most research on the application of sensor networks have focused on the application of sensor networks in different industries, but they all have neglected the application of sensors in different conditions in the same industry. In this paper, the main objective is remote monitoring of water quality in poor signal environment and the correspond novel approach is proposed. An experiment is conducted to validate the proposed approach and the result indicates that the proposed approach is effective for remote monitoring of water quality in areas with poor signals in terms of the continuity and effectiveness of monitoring results.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"142 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 26th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557181","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
The role of sensor network technology in remote environmental monitoring and data collection have long been recognized especially for environmental monitoring, which can realize real-time, continuous and efficient monitoring. Now, most research on the application of sensor networks have focused on the application of sensor networks in different industries, but they all have neglected the application of sensors in different conditions in the same industry. In this paper, the main objective is remote monitoring of water quality in poor signal environment and the correspond novel approach is proposed. An experiment is conducted to validate the proposed approach and the result indicates that the proposed approach is effective for remote monitoring of water quality in areas with poor signals in terms of the continuity and effectiveness of monitoring results.