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Research on Intelligent Environment Monitoring and Early Warning Technology Based on Embedded System

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DOI: 10.23977/jeis.2024.090323 | Downloads: 9 | Views: 169

Author(s)

Zhenning Zhu 1

Affiliation(s)

1 School of Innovation Engineering, Macau University of Science and Technology, Macau, 999078, China

Corresponding Author

Zhenning Zhu

ABSTRACT

The purpose of this study is to develop a system that can monitor various environmental parameters in real time, process data efficiently and warn abnormal situations in time. The system integrates high-precision DHT22 temperature and humidity sensors, MQ series harmful gas sensors and photoresistors, and is equipped with low-power STM32 series microcontrollers to realize comprehensive monitoring of environmental parameters. Modular software architecture is designed for the system, including data acquisition, processing, storage, early warning and communication modules, to ensure the expansibility and maintainability of the system. The early warning mechanism combines static and dynamic threshold setting, multi-parameter combination trigger conditions and hierarchical notification process, which improves the sensitivity and accuracy of early warning. The experimental results show that the system has good monitoring accuracy and stability under different environmental conditions.

KEYWORDS

Embedded system; intelligent environment monitoring; early warning technology

CITE THIS PAPER

Zhenning Zhu, Research on Intelligent Environment Monitoring and Early Warning Technology Based on Embedded System. Journal of Electronics and Information Science (2024) Vol. 9: 173-179. DOI: http://dx.doi.org/10.23977/10.23977/jeis.2024.090323.

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