In order to achieve the intelligent control of production processes, a data-driven add-on cyber-physical system architecture of a CNC machine tool is proposed. And three key aspects of the configuration design of the cyber-physical system are also studied, i.e., node configuration of the add-on cyber-physical system, interconnection technology of the heterogeneous nodes and data-driven adaptive configuration method of the sensor networks. A Big Data analysis method is adopted to discover the unknown configuration rules and the optimal control. Finally, a cyber-physical system based on a small-scale flexible automated production line in our Manufacturing System Lab is taken as an application case.
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Zhang et al. (2016) studied this question.
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