Environmental Monitoring System Based on EMQX Cloud Platform

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.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-05-22
DOI
https://doi.org/10.1051/e3sconf/202563001019/pdf
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Environmental Monitoring System Based on EMQX Cloud Platform

Springer Link (Chiba Institute of Technology)
Water Quality Monitoring Technologies
article

Environmental Monitoring System Based on EMQX Cloud Platform

article en

Abstract

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.

Springer Link (Chiba Institute of Technology)
Life in Land
Openalex Percentile: Top 60%
Water Quality Monitoring Technologies
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