| With the enhancement of my country’s economic strength and the continuous progress of scientific and technological level,my country’s printing industry has turned to the direction of intelligence.At the same time,the demand for energy is getting higher and higher,so it is urgent to realize energy consumption control.This thesis takes the printing workshop as the research object,and based on the implementation background and purpose of the printing energy management and control system,the development status of the MES system,the prediction algorithm of energy consumption data in industrial production and the technology of workshop scheduling are studied.The following is the main research content.(1)Aiming at the disorder of energy consumption in printing workshop,a MEA-BP neural network energy consumption prediction method is established.Using the organic combination of "convergence" and "dissimilation" of the MEA algorithm,multiple subgroups in the solution space jointly find the optimal individual,and gradually optimize the weights and thresholds of the BP neural network,ensuring the global representativeness of the weights and thresholds.The simulation results show that the prediction accuracy of the MEA-BP neural network is significantly improved.(2)According to the energy consumption composition of the printing workshop,the constraints of production materials and scheduling in the printing workshop are studied,the scheduling method of production and energy consumption is proposed,and a multi-objective optimal scheduling model with the maximum processing time and the minimum processing energy consumption is established..In order to effectively select the processing sequence and processing equipment of the product,the classical hybrid leapfrog algorithm is selected,the basic principle of the algorithm is studied in detail,and the improvement is made according to the advantages and disadvantages of the algorithm.The LHS method is used to homogenize the initial population,and the VNS algorithm is used to improve the local update strategy.Through simulation experiments,it is verified that the improved hybrid frog leaping algorithm has practical guiding significance for solving problems.(3)According to the application requirements of MES system in energy saving,the hardware architecture and technical architecture design of the system are completed,and the logical relationship of production data in various dimensions is sorted out,and the design database and data table are constructed.Three functional modules are designed in detail,and an energy-saving MES system for the printing workshop is developed.Finally,it is determined that the system is running well. |
