IoT Sensing Technology Empowering Operational Monitoring of Industrial Equipment
物联网感知技术赋能工业设备运行监测

摘要

工业设备运行监测面临测点分散、数据异构、异常发现滞后和系统协同不足等问题。物联网感知技术 通过多源传感、边缘处理和网络传输，建立设备状态连续获取与分层分析链路。文章分析振动、温度、电流、 压力等信号的采集机理，讨论数据融合、状态识别和分级预警方法，结合公开试验数据归纳其应用成效，并 提出测点规划、边缘部署、平台集成、安全管理和效果评价路径，为工业设备监测体系建设提供参考。

Abstract

Operational monitoring of industrial equipment faces problems such as scattered measuring points, heterogeneous data, delayed anomaly detection, and insufficient system coordination. Through multi-source sensing, edge processing, and network transmission, IoT sensing technology establishes a continuous acquisition and hierarchical analysis chain for equipment status. This paper analyzes the acquisition mechanisms of signals such as vibration, temperature, current, and pressure, discusses methods for data fusion, condition identification, and graded early warning, summarizes application effects based on publicly available experimental data, and proposes pathways for measuring point planning, edge deployment, platform integration, safety management, and effectiveness evaluation, providing reference for the construction of industrial equipment monitoring systems.