锻造车间能耗建模及优化调度研究  

Research on energy consumption modeling and optimal scheduling of forging workshop

作　　者：杨振华 陈君宝[1] 别俊 陈子春 YANG Zhenhua;CHEN Junbao;BIE Jun;CHEN Zichun(College of Mechanical Engineering,Hubei University of Automotive Technology,Shiyan 442002,Hubei,China)

机构地区：[1]湖北汽车工业学院机械工程学院,湖北十堰442002

出　　处：《农业装备与车辆工程》2024年第2期130-134,共5页Agricultural Equipment & Vehicle Engineering

摘　　要：针对锻造车间能耗优化调度问题,通过建立能耗数学模型和改进NSGA2算法并对其进行实例验证且得到最优解集合。建立了一种基于机器状态-能耗分布关系的车间能耗模型,并以此模型为最小能耗目标,再加上最大完工时间和最大机器负荷最小化,共同组成车间调度问题的目标函数。改进了NSGA2算法,种群初始化采用全局生成和快速生成两种方式,编码时选择了工序排列编码和机器选择编码的双层编码方式,交叉策略分别选择IPOX交叉和MPX交叉,变异时插入式变异和贪婪变异保证种群多样性并加强局部搜索能力,最后使用MATLAB对算法实例进行求解运算,得出有效非劣解集,以验证车间能耗模型和改进NSGA2算法的有效性和可行性。Aiming at the optimization scheduling problem of energy consumption in the forging workshop,the optimal solution set was obtained by establishing a mathematical model of energy consumption and improving the NSGA2 algorithm and exemplifying it.A workshop energy consumption model based on machine state-energy consumption distribution relationship was established,and the minimum energy consumption target plus the maximum completion time and maximum machine load minimization were combined to form the objective function of the workshop scheduling problem.NSGA2 algorithm was improved.Two ways of global generation and rapid generation were used for population initialization,the two-layer coding mode of process arrangement coding and machine selection coding was selected for coding,IPOX cross and MPX cross were respectively selected for cross-cutting strategy,variation of insertion variation and greedy variation ensured population diversity and strengthened local search capabilities,and finally MATLAB was used to solve the algorithm instance,to obtain an effective non-inferior solution set,and to verify the effectiveness and feasibility of the workshop energy consumption model and the improved NSGA2 algorithm.

关 键 词：车间优化调度 能耗建模 NSGA2算法 

分 类 号：TH165[机械工程—机械制造及自动化]