Natural Gas TEG Dehydration Equipment Digital Twin and Condition Evaluation

This dataset is data support for a research paper named “Natural Gas Triethylene Glycol Dehydration Equipment Digital Twin and Condition Evaluation Application”. The paper has been submitted to IEEE Transactions on Industrial Informatics.In the paper, a natural gas dehydration process digital twin (DT) is proposed for condition evaluation. The framework and detailed DT models are introduced. The geometric, process, behavioral and rule models in DT map physical entities geometric information, working process, control process, and hidden condition evolution process, respectively. A triethylene glycol (TEG) dehydration DT application system is developed and the overall reality-virtual mapping process of DT for equipment condition evaluation is demonstrated. In the dataset, equipment historical monitoring data, TEG dehydration HYSYS simulation model, fault diagnosis and parameter prediction algorithms, DT software description are provided to concretize our work and make sure researchers in related fields can reproduce it. Copyright:Professor Aijun YinCollege of Mechanical and Vehicle EngineeringChongqing UniversityEmail: [e-mail]

本数据集为题为《天然气三甘醇脱水设备数字孪生与状态评估应用》的研究论文提供数据支撑。该论文已投稿至《IEEE Transactions on Industrial Informatics》。论文针对设备状态评估需求，提出了一种天然气脱水工艺数字孪生（Digital Twin, DT）模型，并介绍了其整体架构与细粒度模型。数字孪生系统中的几何模型、工艺模型、行为模型与规则模型，分别映射物理实体的几何信息、作业流程、控制流程以及隐性状态演化过程。本研究研发了一套三甘醇（Triethylene Glycol, TEG）脱水数字孪生应用系统，并演示了面向设备状态评估的数字孪生虚实映射全流程。本数据集包含设备历史监测数据、三甘醇脱水HYSYS仿真模型、故障诊断与参数预测算法以及数字孪生软件说明文档，以具象化本研究工作，确保相关领域研究人员可复现研究成果。版权所有：重庆大学机械与运载工程学院 艾军教授 邮箱：[e-mail]