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Analysing automation degree and information exchange in joint cognitive systems: FAME, an analytical approach

机译:分析联合认知系统中的自动化程度和信息交换:FAME,一种分析方法

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The role of the operator in complex plant operations is evolving. This raises concerns about maintaining safety, reliability and efficiency. One issue is the basic function allocation within the joint cognitive system. Another related issue is analysis of the interaction between the systems and the operator. Both issues are being investigated by the Halden Reactor Project (HRP) in the FAME (Function Allocation MEthods) project. FAME simulates the joint cognitive system and consists of an operator component, a communication manager and an automation component; in addition, it is coupled to a plant simulator. The operator component describes the competence of the operator using a hierarchy of tasks and goals, while the operator's control and how this relates to his/her understanding of the situation is modelled in the Contextual Control Model (COCOM). FAME simulates the joint cognitive system with different kinds of scenarios, with different function allocations and different information distribution to the actors in the system, the operator and the automation. Based on analysis of these scenarios, it is possible to clarify and partly answer the issues raised above. FAME is complemented by the experimental program on human-centred automation at the HRP. This paper describes how FAME attacks the problems of function allocation and information exchange. We describe how the basic methodology applied in FAME answers some main requirements of the design of automation systems: matching the total system to the goals of the operator, and emphasising the maintaining of operator control and situation understanding.
机译:操作员在复杂工厂操作中的作用正在不断发展。这引起了对维持安全性,可靠性和效率的关注。一个问题是联合认知系统内的基本功能分配。另一个相关问题是分析系统与操作员之间的相互作用。 Halden反应堆项目(HRP)在FAME(功能分配方法)项目中正在研究这两个问题。 FAME模拟关节认知系统,由操作员组件,通信管理器和自动化组件组成;此外,它还与工厂模拟器耦合。操作员组件使用任务和目标的层次结构描述操作员的能力,而操作员的控制及其与情况的理解之间的关系则在上下文控制模型(COCOM)中进行建模。 FAME在不同类型的场景下模拟联合认知系统,具有不同的功能分配以及向系统,操作员和自动化系统中的参与者分配不同的信息。基于对这些方案的分析,可以澄清并部分回答上面提出的问题。 HAME的以人为中心的自动化实验计划对FAME进行了补充。本文介绍了FAME如何解决功能分配和信息交换问题。我们描述了FAME中应用的基本方法是如何满足自动化系统设计的一些主要要求的:将整个系统与操作员的目标相匹配,并强调保持操作员的控制和对情况的理解。

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