Design of equipment health monitoring system based on digital twin

Cheng Li, Hongwei Guo, Yihui Gong, Zhaoting Yuan
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Abstract

With the development of the equipment maintenance, equipment health monitoring has become the focus of maintenance technology. Aiming at the spatiotemporal uncertainty of multi-factor coupling and failure in equipment health monitoring, a health monitoring system based on PLM using digital twin is proposed. Firstly, the system architecture and main functions are designed according to the characteristics of the health state of large complex equipment and the characteristics of digital twin technology. Secondly, the key technologies are proposed such as data converging, construct model, and prognose health in the digital twin monitoring system to ensure that the system can realize equipment health. Finally, a case study of TBM is proposed to verify the monitoring technology.
基于数字孪生的设备健康监测系统设计
随着设备维修的发展,设备健康监测已成为维修技术的重点。针对设备健康监测中多因素耦合和失效的时空不确定性,提出了一种基于数字孪生的PLM健康监测系统。首先,根据大型复杂设备健康状态的特点和数字孪生技术的特点,设计了系统架构和主要功能;其次,提出了数字孪生监测系统中数据融合、模型构建、健康预测等关键技术,确保系统能够实现设备健康;最后,以隧道掘进机为例,对监测技术进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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