{"title":"基于3D-MEMS和NB-IoT的边坡灾害监测预警系统","authors":"M. Xie, Zheng He, Lei Liang, Zhixiang Wu, G. Sun","doi":"10.1109/IAEAC47372.2019.8997685","DOIUrl":null,"url":null,"abstract":"Slope disasters are extremely destructive and pose a serious threat to human life and property safety. The conventional communication method (2G/3G/4G) of slope disaster monitoring has large power consumption and high cost. In addition, the warning indexes for slope instability are single and inaccurate. In order to solve the above problems, this paper develops an automatic monitoring and early warning system based on 3D-MEMS acceleration sensing and NB-IoT transmission technology. It includes intelligent sensor acquisition subsystem, data transmission subsystem, photovoltaic self- powered subsystem, data reception and analysis subsystem. Moreover, the successful on-site application of the Hong'en Temple Tunnel entrance slope in Chongqing, China, shows that the system can stably collect and transmit multi-source monitoring data, and the data change trend is consistent with the slope actual state. This system provides multi-source early warning indexes acquisition method and new data transmission scheme for slope disasters.","PeriodicalId":164163,"journal":{"name":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Slope disaster monitoring and early warning system based on 3D-MEMS and NB-IoT\",\"authors\":\"M. Xie, Zheng He, Lei Liang, Zhixiang Wu, G. Sun\",\"doi\":\"10.1109/IAEAC47372.2019.8997685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Slope disasters are extremely destructive and pose a serious threat to human life and property safety. The conventional communication method (2G/3G/4G) of slope disaster monitoring has large power consumption and high cost. In addition, the warning indexes for slope instability are single and inaccurate. In order to solve the above problems, this paper develops an automatic monitoring and early warning system based on 3D-MEMS acceleration sensing and NB-IoT transmission technology. It includes intelligent sensor acquisition subsystem, data transmission subsystem, photovoltaic self- powered subsystem, data reception and analysis subsystem. Moreover, the successful on-site application of the Hong'en Temple Tunnel entrance slope in Chongqing, China, shows that the system can stably collect and transmit multi-source monitoring data, and the data change trend is consistent with the slope actual state. This system provides multi-source early warning indexes acquisition method and new data transmission scheme for slope disasters.\",\"PeriodicalId\":164163,\"journal\":{\"name\":\"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAEAC47372.2019.8997685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAEAC47372.2019.8997685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Slope disaster monitoring and early warning system based on 3D-MEMS and NB-IoT
Slope disasters are extremely destructive and pose a serious threat to human life and property safety. The conventional communication method (2G/3G/4G) of slope disaster monitoring has large power consumption and high cost. In addition, the warning indexes for slope instability are single and inaccurate. In order to solve the above problems, this paper develops an automatic monitoring and early warning system based on 3D-MEMS acceleration sensing and NB-IoT transmission technology. It includes intelligent sensor acquisition subsystem, data transmission subsystem, photovoltaic self- powered subsystem, data reception and analysis subsystem. Moreover, the successful on-site application of the Hong'en Temple Tunnel entrance slope in Chongqing, China, shows that the system can stably collect and transmit multi-source monitoring data, and the data change trend is consistent with the slope actual state. This system provides multi-source early warning indexes acquisition method and new data transmission scheme for slope disasters.
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