Design and implementation of an IoT-based intelligent environmental monitoring system

The advancement of IoT technology presents new opportunities for environmental monitoring systems. This paper designs an IoT-based intelligent environmental monitoring system that employs multisource sensor collaborative sensing technology for environmental data acquisition. It utilizes a dual-mode communication network to ensure reliable data transmission and integrates deep learning algorithms to construct an environmental quality assessment model, thereby achieving real-time monitoring, intelligent analysis, and early warning of environmental data. System testing and validation demonstrate that this solution holds significant practical value and broader applicability.