ACP Approach-Based Plant Human–Machine Interaction Evaluation

It is an important need for a large chemical plant to roundly and deeply evaluate the design prototype of plant human–machine interaction (HMI) used in the control room. To meet this need, we propose an evaluation method based on the ACP (Artificial system, Computational experiment, and Parallel execution) theory. A plant operator agent is created in this method and it is composed of perception, cognition, and execution processors, short-term memory (STM), and long-term memory (LTM). The operator agent is used as a virtual subject, and the HMI can be evaluated by behavior simulation, from the viewpoints of shortening fault detection and isolation (FDI) track and decreasing the operator's physical and mental workloads. The proposed method shows that the ACP theory is useful for the evaluation of HMI.