Zhejiang University

Zhile Yang

Zaixing He

Dongsheng Yang

Yue Chao

An adaptive-learning intelligent scheduling unified computing frame and system for industrial personalized customized production that are based on a deep neural network and reinforcement learning. An optimization algorithm is selected by automatic decision-making for a global customized production task with an industrial big data module at the bottom as an information basis, and a global optimal static scheduling plane is generated; a current dynamic event is monitored in real time; if not monitored, the global optimal static plan is executed sequentially; when a dynamic event impact requiring dynamic scheduling optimization is monitored, information of the current dynamic event is interpreted and classified, and corresponding optimization algorithms are automatically selected for dynamic scheduling optimization; and a dynamic scheduling scheme is evaluated by a subsequent module, an optimization scheme is regenerated or a most suitable optimization algorithm is automatically decided, and an equipment deployment sequence is generated for an automatic deployment.

Growing community of inventors

Hangzhou, China

Zhile Yang