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Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology
A landslide monitoring technology based on BeiDouand, a wireless sensor network, is proposed in order to solve the problem that landslide has brought severe threat to people's life and safety of property. The landslide monitoring system based on the BeiDouand wireless sensor network is analyzed...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283076/ https://www.ncbi.nlm.nih.gov/pubmed/35844261 http://dx.doi.org/10.1155/2022/1393024 |
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author | Wang, Yi Zhang, Deqiang Pei, Shengliang He, Peiyong |
author_facet | Wang, Yi Zhang, Deqiang Pei, Shengliang He, Peiyong |
author_sort | Wang, Yi |
collection | PubMed |
description | A landslide monitoring technology based on BeiDouand, a wireless sensor network, is proposed in order to solve the problem that landslide has brought severe threat to people's life and safety of property. The landslide monitoring system based on the BeiDouand wireless sensor network is analyzed and designed from the point of view of hardware and software. BeiDou message and GPRS double redundancy transmission mode are adopted to improve the reliability of transmission. It also adopts the factor compression method to improve the effectiveness of BeiDoutransmission and adopts queue management and packet scheduling mechanism to improve the real-time and reliability of wireless sensor network transmission. The result is that, as the number of visible satellites increases, the efficiency of the algorithm decreases. However, the overall efficiency of the algorithm has been significantly improved. When there are 28 visible satellites, the number of algorithm times decreases from 20,475 to 1,140, and the efficiency of the algorithm increases by 16.9 times. The GDOP simulated by the fast star selection algorithm proposed in this paper is less than 3.9, reaching an excellent grade. |
format | Online Article Text |
id | pubmed-9283076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-92830762022-07-15 Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology Wang, Yi Zhang, Deqiang Pei, Shengliang He, Peiyong Int J Anal Chem Research Article A landslide monitoring technology based on BeiDouand, a wireless sensor network, is proposed in order to solve the problem that landslide has brought severe threat to people's life and safety of property. The landslide monitoring system based on the BeiDouand wireless sensor network is analyzed and designed from the point of view of hardware and software. BeiDou message and GPRS double redundancy transmission mode are adopted to improve the reliability of transmission. It also adopts the factor compression method to improve the effectiveness of BeiDoutransmission and adopts queue management and packet scheduling mechanism to improve the real-time and reliability of wireless sensor network transmission. The result is that, as the number of visible satellites increases, the efficiency of the algorithm decreases. However, the overall efficiency of the algorithm has been significantly improved. When there are 28 visible satellites, the number of algorithm times decreases from 20,475 to 1,140, and the efficiency of the algorithm increases by 16.9 times. The GDOP simulated by the fast star selection algorithm proposed in this paper is less than 3.9, reaching an excellent grade. Hindawi 2022-07-07 /pmc/articles/PMC9283076/ /pubmed/35844261 http://dx.doi.org/10.1155/2022/1393024 Text en Copyright © 2022 Yi Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Wang, Yi Zhang, Deqiang Pei, Shengliang He, Peiyong Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology |
title | Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology |
title_full | Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology |
title_fullStr | Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology |
title_full_unstemmed | Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology |
title_short | Mining Geological Environment Monitoring and Real-Time Transmission Based on Internet of Things Technology |
title_sort | mining geological environment monitoring and real-time transmission based on internet of things technology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283076/ https://www.ncbi.nlm.nih.gov/pubmed/35844261 http://dx.doi.org/10.1155/2022/1393024 |
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