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Development of augmented virtual reality-based operator training system for accident prevention in a refinery

机译:基于增强虚拟现实的运营商培训系统的开发炼油厂事故预防

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摘要

A new operator training system that trains both control room and field operators by coupling dynamic processes and accident simulations, thereby preventing potential hazards in a chemical plant, is proposed. The two types of operators were trained in different training environments - a conventional distributed control system interface for the control room operators and an augmented virtual reality-based system for the field operators. To provide quantitative process changes and accident information driven by the actions of the trainees in real time, two types of simulation, dynamic processes and accidents, were implemented. The former was accomplished through a real-time dynamic process simulation using Aspen HYSYS; the latter was achieved by replacing the high-accuracy accident simulation model based on computational fluid dynamics with a variational autoencoder with deep convolutional layers and a deep neural network surrogate model. The resulting two types of outcomes were transferred across each training environment in a platform called the process and accident interactive simulation engine using object linking and embedding technology. In the last step, an augmented virtual reality-based platform was attached to the process and accident interactive simulation engine, making communication between the control room and field operators possible in the proposed operator training system platform.
机译:一种新的操作员培训系统,通过耦合动态流程和事故模拟来训练控制室和现场操作员,从而预防化工厂的潜在危险。这两种类型的操作员在不同的培训环境中培训 - 用于控制室运营商的传统分布式控制系统接口和用于现场运算符的增强虚拟现实系统。为了提供由学员实时行动驱动的定量过程变化和事故信息,实施了两种类型的模拟,动态过程和事故。前者是通过使用Aspen Hysys的实时动态过程模拟完成的;通过用深卷积层和深神经网络替代模型用不同的自动化码器代替基于计算流体动力学的高精度事故模拟模型来实现后者。使用对象链接和嵌入技术在一个称为进程和事故互动模拟引擎的平台中的每个培训环境中转移了两种类型的结果。在最后一步中,将基于增强的虚拟现实的平台连接到过程和事故交互式仿真引擎,在所提出的操作员培训系统平台中进行控制室和现场运营商之间的通信。

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