面向工时预估的物联车间人员动态调度技术研究

Research on Personnel Dynamic Scheduling Technology in IoT Manufacturing Workshop

针对物联制造车间人机协作调度中人员参数的问题,提出基于人员层次技能树的任务匹配度模型和基于学习曲线的人员工时预估模型,结合实际的车间和相关理论基础,提供具体实现的解决思路。将所提出的两种模型在真实物联制造车间中进行性能验证测试,实验结果表明:所提方法可有效提高人员动态调度的效率。

In light of the problem of personnel parameters in human-machine cooperative scheduling in IoT manufacturing workshop,a task matching degree model based on personnel level skill tree and an operation time prediction model of the personnel based on learning curve are proposed.Combined with the actual workshop and relevant theoretical basis,specific solutions are provided.The performance of the proposed two models is verified in the real IoT manufacturing workshop,which shows that the methods can improve the efficiency of personnel dynamic scheduling.