| Issue |
E3S Web Conf.
Volume 630, 2025
2025 International Conference on Eco-environmental Protection, Environmental Monitoring and Remediation (EPEMR 2025)
|
|
|---|---|---|
| Article Number | 01019 | |
| Number of page(s) | 4 | |
| Section | Smart Technologies for Environmental Monitoring and Pollution Mitigation | |
| DOI | https://doi.org/10.1051/e3sconf/202563001019 | |
| Published online | 22 May 2025 | |
Environmental Monitoring System Based on EMQX Cloud Platform
1 Shandong Agriculture and Engineering University, School of Information Science and Engineering, Department of Software Technology, Jinan, Shandong Province, China
2 Shandong Agriculture and Engineering University, School of Information Science and Engineering, Department of Artificial Intelligence, Jinan, Shandong Province, China
3 Shandong Agriculture and Engineering University, School of Information Science and Engineering, Jinan, Shandong Province, China co-first author: Yiming Wang and Xiyu Liu
f* Corresponding author: 845494679@qq.com
a 1810836963@qq.com
b 475913947@qq.com
c 2568036039@qq.com
d 2439682383@qq.com
e 2951215303@qq.com
This paper addresses the current limitations of environmental monitoring methods in China, including insufficient coverage and data latency, by proposing an IoT-based environmental monitoring system. The system uses STM32 as the central controller to collect environmental parameters such as air temperature/humidity, atmospheric CO₂ concentration, water dissolved oxygen concentration, and soil conductivity in the Yellow River Delta region. Data is transmitted to the EMQX cloud platform via a 4G module using the MQTT protocol for efficient communication. The system features real-time monitoring, data storage, visualization, and early warning capabilities. Experimental results demonstrate stable operation, high data accuracy, and strong scalability, providing robust support for environmental governance and potential applications in broader monitoring scenarios.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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