依托中科院SAMP平台的数字孪生实验室模型设计与构建

Design and Construction of Digital Twin Laboratory Model Based on SAMP of Chinese Academy of Sciences

本文以SAMP(中科院仪器设备共享管理平台)为依托,针对传统实验室平台存在的仪器设备故障无法主动预测、网络传输状态不稳定、不便于日常维护等问题,将数字孪生技术应用于仪器设备共享实验室,设计并构建了依托中科院SAMP平台的数字孪生实验室模型,详细设计了数字孪生实验室运行机制、工作流程及实施方案.本文提出的数字孪生实验室模型主要包括物理实验室、虚拟实验室、实验室孪生数据及数字孪生实验室服务平台四部分,可以有效实现目前基于中科院SAMP平台的仪器共享实验室在系统虚拟化及数据动态分析等方面的改进要求,可以有效分析实验室数字孪生数据并预测可能发生的风险,从而满足了在保证实验室物理平台正常运行的情况下,对真实系统进行预测、维护和改进.经过分析论证,依托中科院SAMP的数字孪生实验室模型可以使得实验室运行故障预测准确率到达70%,有效提高了实验室运行稳定性,降低了实验室的整体维护成本.

Aiming at the problems of the inability to actively predict the faults of instruments,the inconvenience of daily maintenance and so on,this paper applies the digital twin technology to the instruments sharing laboratory,designs and constructs the Digital Twin Laboratory Model based on the SAMP( DTLMS),and designs the digital twin laboratory operation mechanism,workflow and implementation plan in detail. The Digital Twin Laboratory Model,which is consist of four parts: physical laboratory,virtual laboratory,Laboratory Digital Twin Data( LDTD) and Laboratory Service Platform( LSP),can analyse the extracted laboratory digital twin data and predict possible risks effectively,so as to predict,maintain and improve the actual system under the condition of ensuring the normal operation of the laboratory physical platform. The DTLMS can raise the prediction accuracy of laboratory operation failure up to 70%,effectively improving the stability of the laboratory operation and reducing the overall maintenance cost of the laboratory.