Design and implementation of intelligent operation and maintenance system in edge computing environment

This research thoroughly examined and validated the development and utilization of smart operation and maintenance systems in edge computing settings. The system's response speed and operation and maintenance efficiency experience a notable increase with the implementation of an effective system architecture, incorporating essential functional modules like data collection, preprocessing, feature extraction, and model training, alongside the real-time performance and resource optimization features of edge computing. The research proves the broad usefulness and important impact of intelligent operation and maintenance systems in different industrial situations, using examples like predicting faults in power systems and performing predictive maintenance on manufacturing equipment. It also confirms that edge computing technology plays a role in decreasing maintenance expenses and making exceptional strides in enhancing system reliability. In essence, this research offers a theoretical foundation for developing smart operation and maintenance systems while showcasing the significant capabilities of edge computing in contemporary industries through real-world use cases.