关键词: 三峡升船机；数字孪生；智能运维；健康评价

Abstract: To address the shortcomings of traditional operation and maintenance (O&M) practices for the Three Gorges ship lift, such as insufficient data mining and reliance on subjective experience in fault diagnosis, this study integrated digital twin technology with key methods including fault tree analysis, matter-element entropy weight method, convolutional neural network (CNN) algorithm, and SSA-ICEEMDAN algorithm to develop an intelligent O&M platform. Through platform implementation and data analysis, the system successfully achieved dynamic monitoring, fault diagnosis, and predictive maintenance of the ship lift’s operational status, along with comprehensive health evaluation of equipment. Application results demonstrate that the platform ensures safe and stable operation of the Three Gorges ship lift while significantly enhancing O&M efficiency. This successful application of digital twin technology in intelligent O&M of navigation facilities provides an innovative solution for similar engineering projects.

Key words: Three Gorges ship lift；digital twin；intelligent operation and maintenance (O&M)；health evaluation