Human modeling and simulation for plant operations
Human modeling and simulation for plant operations
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DOI：
10.1016/j.compchemeng.2004.03.013
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发表时间：
2004-09
期刊：
影响因子：
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通讯作者：
Yinhua Jin;Y. Yamashita;H. Nishitani
中科院分区：
文献类型：
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作者：
Yinhua Jin;Y. Yamashita;H. Nishitani
众所周知，在异常情况下，在工厂操作员的混乱状态下会发生各种类型的人为错误。为了了解这些人为错误的干扰和设备故障的情况下的生成机制，我们已经开发了一个认知信息处理模型，将操作员的身体和精神状态。操作员模型安装在PC上，并通过我们开发的人机界面模型连接到锅炉厂模拟器进行培训。使用这个模拟环境中，我们检查的感知错误的监测模式和故障诊断过程中的认知错误。模拟结果与实际工厂操作和模拟器培训的观察定性一致。该算子模型可用于从认知信息加工的角度分析各类人误的产生机制。因此，我们可以通过运行模拟来研究如何防止人为错误并评估各种措施的效果。
It is widely known that various types of human errors occur in the confused state of a plant operator’s mind under abnormal situations. In order to understand the generation mechanism of these human errors in the circumstances of disturbances and equipment failures, we have developed a cognitive information-processing model incorporating the operator’s physical and mental states. The operator model is installed on a PC and connected to a boiler plant simulator for training through a human–machine interface model that we also developed. Using this simulation environment we examine perceptual error in the monitoring mode and cognitive error in fault diagnosis during malfunctions. The simulation results coincide well qualitatively with observations of actual plant operations and simulator training. This operator model can be used to analyze the generation mechanism of various types of human errors from the viewpoint of cognitive information processing. Accordingly, we can study how to prevent human errors and evaluate the effects of various measures by running simulations.