Design and Implementation of an Emergency Environmental Monitoring System
Open Access
- 12 January 2025
- journal article
- research article
- Published by MDPI AG in Electronics
- Vol. 14 (2) , 287
Abstract
The collection and real-time transmission of emergency environmental information are crucial for rapidly assessing the on-site situation of sudden disasters and responding promptly. However, the acquisition of emergency environmental information, particularly its seamless transmission, faces significant challenges under complex terrain and limited ground communication. This paper utilizes sensors, line-of-sight communication with unmanned aerial vehicles (UAVs), and LoRa long-distance communication to establish an integrated emergency environmental monitoring system that combines real-time monitoring, UAV-mounted LoRa gateway relaying, and backend data analysis. This system achieves real-time acquisition, seamless transmission, storage management, and visualization of environmental emergency information. First, a portable emergency environmental monitoring device was developed to collect and transmit environmental factor data. Second, a UAV-mounted LoRa gateway was designed to extend the data transmission coverage, ensuring seamless communication. Finally, multiple field experiments were conducted to evaluate the system’s performance. The experimental results indicate that the system possesses reliable capabilities for emergency data collection and transmission in complex environments, providing new technical solutions and practical support for developing and applying emergency environmental monitoring systems.Keywords
Funding Information
- National Natural Science Foundation of China (42001354, 2018C02013, 2024R412B048, LHYFZ2308, 2023LFR099)
- the Zhejiang Provincial Key Science and Technology Project (42001354, 2018C02013, 2024R412B048, LHYFZ2308, 2023LFR099)
- Zhejiang University Student Science and Technology Innovation Activity Plan (42001354, 2018C02013, 2024R412B048, LHYFZ2308, 2023LFR099)
- Modern Agriculture and Forestry Artificial Intelligence Industry College Joint School-Enterprise Project (42001354, 2018C02013, 2024R412B048, LHYFZ2308, 2023LFR099)
- Zhejiang A&F University Research and Development Fund (42001354, 2018C02013, 2024R412B048, LHYFZ2308, 2023LFR099)
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