基于多场景构建的作业车间调度性能仿真研究

针对不确定环境下作业车间动态调度性能评估问题,利用在线调度方法对扰动环境下作业车间调度性能进行仿真研究,设计了一种面向对象的动态多场景生成模型。首先,基于Plant Simulation搭建作业车间动态仿真平台。其次,考虑设备故障、紧急插单、工件随机到达、交货期紧迫性变化等不确定因素进行动态场景车间结构设计,构建作业车间动态多场景。然后,综合考虑5类调度指标,基于20种调度策略进行在线调度分析,并比较不同策略在不同指标下的调度性能,以此构建作业车间动态多场景知识库。在实际生产中,辅助调度人员进行决策,以指导实际生产。最后,以某机加工车间为例,进行动态多场景实例仿真。算例结果表明了所提方法的可行性与有效性。

Low Dynamic Range Solutions to the High Dynamic Range Imaging Problem

While capturing a real world scene using a common digital camera, due to limitations of the sensor dynamic range, we will not be able to capture the entire dynamic range of the some. This problem is evident while capturing a picture of a some which has both brightly and poorly illuminated regions. High Dynamic Range （HDR） imaging aims to recover the entire dynamic range of the scene by compositing multi-exposure images. Tone reproduction is required for displaying HDR images as the corresponding Low Dynamic Range（LDR） images on common displays. This paper discusses novel approaches to reconstruct LDR images directly from multi-exposure images. It is assumed that there is no knowledge of camera response function and other camera settings. At last, it is explained how this task can be achieved effectively for static and dynamic scenes.