5G IoT-based geohazard monitoring and early warning system and its application
Abstract With the expansion of human production activities, geological disasters caused by slope instability are occurring more frequently. Hence, the research on effective monitoring and forecasting of the geotechnical stability of slopes is of great significance for the prevention and mitigation o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-07-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-021-02033-y |
| _version_ | 1819128028998926336 |
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| author | Zhaohua Li Linquan Fang Xiaokun Sun Wang Peng |
| author_facet | Zhaohua Li Linquan Fang Xiaokun Sun Wang Peng |
| author_sort | Zhaohua Li |
| collection | DOAJ |
| description | Abstract With the expansion of human production activities, geological disasters caused by slope instability are occurring more frequently. Hence, the research on effective monitoring and forecasting of the geotechnical stability of slopes is of great significance for the prevention and mitigation of slope geological disasters. In this study, a landslide monitoring and early warning system based on 5G Internet of Things (IoT) technology is introduced. The system monitors important indicators such as three-dimensional surface displacement, rainfall, and ground cracks using Global Navigation Satellite System equipment and various IoT sensors deployed on site. The key monitoring data are transmitted and displayed by 5G communication and advanced data visualization technologies. An early warning guideline is established by combining the surface deformation rate–time curve according to a four-level early warning method as well as embedded vector maps such as the topographic and geomorphological remote sensing map of the monitoring area, the geological section map, and the monitoring point distribution map. The system has the functions of accurate acquisition, rapid transmission, automatic search, and comprehensive analysis and is applied to the study of creep slopes of the Lianhe terraces in Youxi County, Fujian Province, with remarkable results. |
| first_indexed | 2024-12-22T08:21:19Z |
| format | Article |
| id | doaj.art-c1ed7d4a66a0417abfcda2260456406f |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-22T08:21:19Z |
| publishDate | 2021-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-c1ed7d4a66a0417abfcda2260456406f2022-12-21T18:32:45ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992021-07-012021111610.1186/s13638-021-02033-y5G IoT-based geohazard monitoring and early warning system and its applicationZhaohua Li0Linquan Fang1Xiaokun Sun2Wang Peng3School of Civil Engineering, Yango UniversityYunnan Innovation Institute, BUAASchool of Mechanics and Construction Engineering, China University of Mining and Technology (Beijing)Joint War College, National Defense University of PLAAbstract With the expansion of human production activities, geological disasters caused by slope instability are occurring more frequently. Hence, the research on effective monitoring and forecasting of the geotechnical stability of slopes is of great significance for the prevention and mitigation of slope geological disasters. In this study, a landslide monitoring and early warning system based on 5G Internet of Things (IoT) technology is introduced. The system monitors important indicators such as three-dimensional surface displacement, rainfall, and ground cracks using Global Navigation Satellite System equipment and various IoT sensors deployed on site. The key monitoring data are transmitted and displayed by 5G communication and advanced data visualization technologies. An early warning guideline is established by combining the surface deformation rate–time curve according to a four-level early warning method as well as embedded vector maps such as the topographic and geomorphological remote sensing map of the monitoring area, the geological section map, and the monitoring point distribution map. The system has the functions of accurate acquisition, rapid transmission, automatic search, and comprehensive analysis and is applied to the study of creep slopes of the Lianhe terraces in Youxi County, Fujian Province, with remarkable results.https://doi.org/10.1186/s13638-021-02033-yGeological disasters5G communicationIoTMonitoring and early warningGNSS |
| spellingShingle | Zhaohua Li Linquan Fang Xiaokun Sun Wang Peng 5G IoT-based geohazard monitoring and early warning system and its application EURASIP Journal on Wireless Communications and Networking Geological disasters 5G communication IoT Monitoring and early warning GNSS |
| title | 5G IoT-based geohazard monitoring and early warning system and its application |
| title_full | 5G IoT-based geohazard monitoring and early warning system and its application |
| title_fullStr | 5G IoT-based geohazard monitoring and early warning system and its application |
| title_full_unstemmed | 5G IoT-based geohazard monitoring and early warning system and its application |
| title_short | 5G IoT-based geohazard monitoring and early warning system and its application |
| title_sort | 5g iot based geohazard monitoring and early warning system and its application |
| topic | Geological disasters 5G communication IoT Monitoring and early warning GNSS |
| url | https://doi.org/10.1186/s13638-021-02033-y |
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