Machine workshop task scheduling energy-saving optimization system based on reinforcement learning

Abstract

The invention discloses a machine workshop task scheduling energy-saving optimization system based on reinforcement learning. The machine workshop task scheduling energy-saving optimization system comprises a scheduling target function module, a basic database, a scheduling rule library, a primary scheduling execution module, an energy-saving optimization rule library, an energy-saving optimization module and a scheduling scheme library. Firstly, scheduling targets are set in the scheduling target function module, and primary scheduling is executed in the primary scheduling execution module by selecting scheduling rules from the scheduling rule library and utilizing basic data of the basic database to obtain primary scheduling schemes; then, energy-saving optimization experiences of experts are typed in from an outside-system knowledge expanding port to obtain energy-saving optimization rules; meanwhile, a learning environment is built in the energy-saving optimization module and comprises a workshop energy-consumption module, a processing time module and a scheduling scheme evaluation model; finally, an energy-saving optimization strategy is obtained for the primary scheduling schemes through interaction between a Q learning controller and the learning environment. The machine workshop task scheduling energy-saving optimization system can reduce energy consumption in a machine workshop production process by means of scheduling and has great significance for energy saving and emission reduction of machine workshops.

Description

technical field [0001] The invention relates to the fields of energy consumption, energy-saving optimization scheduling of machinery manufacturing industry, etc., and in particular to an energy-saving optimization support system for task scheduling of machinery workshops based on reinforcement learning. Background technique [0002] Global warming and carbon emissions have been put on the agenda around the world. At present, the energy and environment that our country is facing huge challenges are important factors that force the manufacturing industry to save energy. Electric energy is an essential source of power in the production process of mechanical workshops. Reducing its consumption is not only to reduce production and operation costs, but also to reduce CO 2 provides an effective way to discharge. At present, my country has a large number of machine tools, and the total energy consumption of mechanical workshops is huge. Therefore, its energy consumption problem ha...

AI Technical Summary

Problems solved by technology

It can be seen that it is far from enough to realize the energy saving and consumption reduction of the workshop only by studying the energy consumption of the machine tool itself

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