Journal of Engineering Research

The widespread application of Internet of Things (IoT) technology is reshaping the operation and maintenance methods of mechanical and electrical engineering. By constructing a remote monitoring and fault diagnosis system, real-time awareness of equipment operating status and early warning of anomalies have been achieved. Relying on sensor networks, data communication, cloud computing, and intelligent analysis algorithms, this system enhances the accuracy and responsiveness of equipment management. The research focuses on system architecture design, optimization of data processing mechanisms, and innovation in maintenance processes, effectively addressing the lag and inefficiency of traditional approaches. Practical results show that this model significantly improves equipment reliability and reduces maintenance costs, providing a new path for the intelligent development of mechanical and electrical engineering.

Internet of Things; Mechanical and electrical engineering; Remote monitoring; Fault diagnosis; Equipment maintenance