基于机器视觉的药物生产控制方法研究与应用

Research and application of drug production control method based on machine vision

针对中药滴丸的生产过程,提出一种基于机器视觉的生产控制系统,并通过模糊控制算法实现中药滴丸的控制。其中,以中药银杏叶滴丸为对象,首先通过机器视觉系统采集中药滴丸图像,通过轮廓提取、液滴图像特征参数计算等,实现滴丸大小均匀的控制;利用模糊控制算法对液滴周期时间进行控制,并通过控制温度及液滴图像特征参数来间接控制丸重。实验结果得到,当液滴周期设定值为2秒时,控制作用使得液滴周期时间第2次进入稳定范围±5%后在稳定范围内保持了长达70分钟,可以表明,本研究的机器视觉控制方案能有效控制液滴周期时间,且通过液滴周期时间的调节,实现滴丸的标准化生产,达到控制目的。

For the production process of TCM dropping pills,a production control system based on machine vision is proposed and can to control by fuzzy control algorithm.Firstly,the Chinese medicine dropping pill images are collected through the machine vision system to control the uniform size of the fuzzy control algorithm and indirectly controls the pill weight by controlling the temperature and droplet image characteristic parameters.The experimental results,when the set value of droplet period is 2 seconds,the control effect makes the droplet cycle time into the stability range±5%for up to 70 minutes after the second time,which shows that the machine vision control scheme of this study can effectively control the droplet cycle time,and realize the standardization of droplet production.