Abstract：Greening is a goal that needs to be prioritized among many goals such as meeting demand,low consumption,and low cost in steel manufacturing. Steel intelligent manufacturing is an important means to achieve these goals. The perspective changing from the metallurgical unit to the entire manufacturing process system considering material flow,energy flow and information flow is a cognitive revolution for steel manufacturing process system. The theory of complexity science,cognitive science and metallurgical process engineering have been applied to analyze the nature of the steel manufacturing system from the perspective of flow and the key function of intelligence in steel manufacturing,and obtain some understanding of the steel intelligent manufacturing. The steel manufacturing system is an engineering dissipative structure formed by material flow,energy flow,information flow and flow control resources on the flow area in the system. At different spatial and temporal scales,the system exhibits continuous flow or discrete/continuous mixed flow characteristics. The system can be regarded as a multi-layer cyber-physical system,in which each layer can have multiple cyber-physical subsystems. There are material,energy and information interactions between subsystems on the same level,and there are information interactions between system and subsystems. The essence of the system is the material flow movement process guided and controlled by the information flow as well as driven by the energy flow under the attraction of the value goal. The orderly flow of information is critical to the achievement of manufacturing goals. In steel intelligent manufacturing,it is a key issue to realize efficiently and low-costly the order of information flow through the order of information processing. The information system in steel intelligent manufacturing should adopt a four-level structure of perception layer,memory layer,thinking layer and action layer,and the strategy of "disposable after use" should be adopted for data at the perception layer. The flexibility index can be used to describe the flexibility or the rhythm uniformity of a single material flow. Computational experiments show that the greater the flexibility index,the shorter the residence time of the flow.
高小强. 流视角下对钢铁智能制造的几点思考[J]. 钢铁, 2023, 58(11): 108-119.
GAO Xiaoqiang. Some thoughts on steel intelligent manufacturing from perspective of flow[J]. Iron and Steel, 2023, 58(11): 108-119.
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