大型自动化过程控制流程优化调度模型仿真

Simulation of Large Scale Automation Process Control Process Optimization Scheduling Model

传统的过程控制和作业调度方法采用基于多线程集群聚类的任务调度方法,对多用户、多任务的大型自动化过程控制的调度性能不好。提出基于主特征支配集分簇提取的大型自动化过程控制流程优化调度模型。构建大型自动化过程控制模型,进行优化控制目标函数构建,实现控制流程的优化调度模型改进,最后通过仿真实验进行了性能验证。仿真结果表明,该算法能优化自动化过程控制流程,在提高生产效率,优化工业自动化过程控制方面具有重要应用价值。

Traditional process control and job scheduling method based on multi-threading set clustering task scheduling method, large automation of users, the task scheduling performance of process control is bad. Put forward based on the characteristics of dominating sets clumps and extraction of large automation process control process optimization scheduling model. Building large automation process control model for optimal control objective function building, to achieve the optimal scheduling model of control process improvements, the performance verification by simulation experiment. The simulation results show that the algorithm can optimize the automation process control process, to improve the production efficiency, optimize the industrial automation process control has important application value.