Design of intelligent remote monitoring and diagnosis system for equipment
Year: 2024
Type: conference-paper
Abstract: As modern production technology progresses, equipment complexity escalates, resulting in a rising failure rate. An intelligent remote monitoring and diagnosis system for equipment based on cloud-edge collaboration technology is designed to address the problems of poor data transmission ability and low fault diagnosis accuracy in traditional monitoring and diagnosis systems. The system realizes information perception, collection, and edge computing through edge intelligent devices. The feature extraction, pattern recognition, and intelligent information diagnosis are realized in the cloud platform, and the equipment’s running state and diagnosis results are displayed in real time at the terminal. The research and design of this system are of great significance in reducing unexpected downtime of equipment and improving production efficiency.
Authors: Zhenao Li, Lei Chen, Wenlong Li, Wenxuan Shi
Institution: Zhengzhou University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403293924