Abstract
Operator education is essential in the process industry to avoid catastrophic accidents caused by human error. The operators of modern industrial plants not only need professional operation skills, more importantly, understand the behavior of advanced machine algorithms, which has played a critical role in daily industrial practice. In this research, a novel operator education paradigm is proposed. First, a model-based industrial intelligence, called shadow operator, is developed, which combines the two-layer industrial model predictive control framework and human-machine cooperation principles. Second, a hierarchical human-machine cooperation model for process operator training based on Bloom’s taxonomy is presented, in which Bloom’s taxonomy is an educational psychology model. Finally, five identities of shadow operator, namely task performer, cooperation partner, operation advisor, safety supervisor, and trouble maker, based on the proposed hierarchical model are designed to provide dynamic interaction with human operators. An application case in the industrial gas industry is provided to illustrate the effectiveness of the paradigm.
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Yang, G., Shao, Z., Xu, Z. (2022). How to Apply Bloom’s Taxonomy to Operator Education in the Way of Human-Machine Cooperation?. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Novel Technological Environments. HCII 2022. Lecture Notes in Computer Science, vol 13329. Springer, Cham. https://doi.org/10.1007/978-3-031-05675-8_24
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DOI: https://doi.org/10.1007/978-3-031-05675-8_24
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