Remote Environmental Monitoring Based on Beidou Mobile Monitoring Terminal with an Early Warning Platform

With the increasingly serious environmental problems, traditional monitoring methods are faced with challenges such as poor real-time performance and insufficient data accuracy. Based on the Beidou Navigation Satellite System (BDS) and mobile monitoring terminal, a remote environmental monitoring and early warning platform is designed in this paper. The platform combines Beidou positioning, sensor data acquisition, wireless communication and cloud computing analysis to monitor and warn environmental changes in real time. By integrating the Beidou positioning module, the platform is able to accurately obtain the location of equipment and collect environmental data such as climate, air quality and noise, and ensure stable operation in remote areas using low-power wide-area networks such as NB-loT. Experimental results show that the platform performs well in terms of data acquisition, transmission efficiency and early warning accuracy.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/iccece65250.2025.10985131
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
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article

Remote Environmental Monitoring Based on Beidou Mobile Monitoring Terminal with an Early Warning Platform

Xingjian Liu, Zhimeng Zheng
Wireless Sensor Networks and IoT
article

Remote Environmental Monitoring Based on Beidou Mobile Monitoring Terminal with an Early Warning Platform

Xingjian Liu, Zhimeng Zheng
article en

Abstract

With the increasingly serious environmental problems, traditional monitoring methods are faced with challenges such as poor real-time performance and insufficient data accuracy. Based on the Beidou Navigation Satellite System (BDS) and mobile monitoring terminal, a remote environmental monitoring and early warning platform is designed in this paper. The platform combines Beidou positioning, sensor data acquisition, wireless communication and cloud computing analysis to monitor and warn environmental changes in real time. By integrating the Beidou positioning module, the platform is able to accurately obtain the location of equipment and collect environmental data such as climate, air quality and noise, and ensure stable operation in remote areas using low-power wide-area networks such as NB-loT. Experimental results show that the platform performs well in terms of data acquisition, transmission efficiency and early warning accuracy.

Zhaoqing University (CN)
Climate action
Openalex Percentile: Top 89%
Wireless Sensor Networks and IoT
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