Aug 2026· Applied and Computational Engineering· Vol 253, pp. 149-156· 0 citations
Abstract
Manual monitoring has inherent shortcomings, including low efficiency, inability to achieve real-time data acquisition, and relatively high error rates that prevent 24-hour uninterrupted observation. To solve the above problems, this paper constructs a four-layer intelligent monitoring system on the basis of Internet of Things (IoT), which includes perception layer, transmission layer, processing layer and application layer. The system is designed in accordance with internationally recognized IoT architectural standards, which forms a closed-loop process covering signal acquisition, data transmission, and data analysis. This paper details the key functions, composition, technical principles, and coordination mechanisms of each layer. This architecture integrates edge computing and cloud computing, builds a multi-protocol transmission mechanism, and addresses the limitations of traditional monitoring systems, which rely on overly simplistic data processing models and suffer from prolonged response times. Practical application demonstrates that the four-layer framework offers robust real-time responsiveness and scalability, and can greatly improve monitoring efficiency, demonstrating the practical value of the proposed system.
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