智能作业车间动态调度系统研究与实现

Research and implementation of intelligent job shop dynamic scheduling system

为解决单件小批车间生产受到不确定性事件的影响,而使得实际生产过程偏离作业车间计划,导致产品无法按期交付这一问题,研究并实现了智能作业车间动态调度系统。系统包含基于Zigbee与传感器等物联网技术实现的智能感知子系统、基于大数据分析技术实现的智能双驱动机制子系统和基于云计算技术实现的调度算法云服务子平台,保证了作业计划动态调度的高质量完成。最后,将哈尔滨电机厂历史生产数据作为测试用例,验证智能作业车间动态调度系统的有效性。

The single and small batch workshop production would be affected by uncertain events because of which will make the actual implementation deviate from the scheduling and lead to that the products can not be delivered on schedule. For solving this problem, this paper studies and implements an intelligent system of job shop dynamic scheduling. The intelligence of the system contains the intellisense subsystem based on Zigbee, sensors and other Internet of Thing technologies, intelligent dual drive mechanism subsystem and scheduling algorithm of cloud services sub-platform. This intelligent system of job shop dynamic scheduling will make job shop dynamic scheduling complete in high quality. Finally, this paper selects historical production data from Harbin Electrical Machinery Plant as test cases to verify the validity.