Automated monitoring and fault diagnosis of mechatronic engineering based on the Internet of Things
基于物联网的机电工程自动化监测与故障诊断

摘要

随着物联网技术的快速发展，其在机电工程自动化监测和故障诊断中的应用逐渐成为行业的研究热点。通过物联网技术的传感器网络，实时监控机电设备的运行状态、性能指标以及环境条件，能够有效提高系统的可靠性、效率和安全性。本文探讨了基于物联网的机电工程自动化监测与故障诊断的核心技术、方法及其应用。重点分析了传感器数据采集、数据传输与处理、故障诊断算法等技术的集成，并提出了优化方案。通过实验验证了该方法在提高故障检测准确率和响应速度方面的优势，为机电设备的智能化运维提供了新的思路。

Abstract

With the rapid development of Internet of Things (IoT) technology, its application in automated monitoring and fault diagnosis of mechatronic engineering has gradually become a research hotspot in the industry. Through the sensor network of IoT technology, real-time monitoring of the operational status, performance indicators, and environmental conditions of mechatronic equipment can effectively improve the reliability, efficiency, and safety of the system. This paper discusses the core technologies, methods, and applications of IoT-based automated monitoring and fault diagnosis in mechatronic engineering. It focuses on analyzing the integration of technologies such as sensor data collection, data transmission and processing, and fault diagnosis algorithms, and proposes optimization schemes. Experiments verify the advantages of this method in improving the accuracy of fault detection and response speed, providing new ideas for the intelligent operation and maintenance of mechatronic equipment.