Academic Journal of Engineering and Technology Science, 2022, 5(13); doi: 10.25236/AJETS.2022.051303.
Guoshun Wang, Zhigang Bing, Zhaohao Hou, Ying Li
School of Automation and Electrical Engineering, Tianjin University of Technology and Education, Tianjin, China
In order to realize the optimization of energy saving for the digital processing workshop, reducing the energy consumption of equipment in the workshop and improving the energy efficiency of the workshop is also imperative. Energy efficiency optimization based on digital twin workshop is proposed. According to the characteristics of the whole processing process and energy consumption of the workshop, the dynamic energy efficiency model of the digital twin workshop is established to realize the visualization platform of control substantiation and management. The NSGA-II algorithm is used to analyse the energy efficiency analysis method of machine tool scheduling and plan the digital twin energy efficiency scheduling scheme.
Digital twin, Energy consumption, NSGA-II, Scheduling scheme
Guoshun Wang, Zhigang Bing, Zhaohao Hou, Ying Li. Energy Efficiency Optimization Based on Digital Twin Workshops. Academic Journal of Engineering and Technology Science (2022) Vol. 5, Issue 13: 15-25. https://doi.org/10.25236/AJETS.2022.051303.
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