基于机器视觉的精油灌装系统测控装置研制

发布时间：2018-08-08 17:10

【摘要】：随着世界经济的发展和人类生活水平的提高,人们对精油类的保健产品需求量不断增加,由于精油产品提炼过程复杂、价格昂贵且挥发性很强,所以对灌装系统的性能提出了更高的要求。论文在了解国内外灌装设备发展现状的基础上,重点对灌装系统的机械结构设计、灌装精度检测、容器缺陷检测、系统电气控制等方面展开研究,其主要内容如下：首先,论文根据精油灌装机的工艺要求进行了机械结构的设计。重点对精油灌装机的理瓶、传送、灌装、加内塞、旋外盖等机械结构进行了工艺设计,在灌装设备上安装了光电传感器,实现了有无合格灌装容器和有无合格内塞等检测功能,确保了灌装系统在持续运行下的高效、稳定性。其次,提出基于机器视觉技术的灌装液位检测方法,实现产品的灌装精度检测。论文确定了相机型号、分析了影响镜头参数的因素,并对比了不同光源对实验环境的影响。采集到的灌装液位图像传输到PC机后,采用HALCON软件对液面高度进行分析、对比,由此判断产品的灌装精度是否符合预期要求。再次,提出采用机器视觉系统检测灌装瓶缺陷的方案。利用视觉系统的CCD传感器分别采集灌装前的精油瓶瓶口和瓶身图像,根据瓶口和瓶身图像的特点,利用图像处理技术将缺陷部分提取出来,然后利用边缘检测技术把缺陷图像与背景分离,从而检测出存在缺陷的瓶子,判断缺陷类型进而用踢瓶机构剔除。最后,设计了采用PLC作为控制器的灌装机电气控制系统。根据控制系统的设计要求进行了硬件配置、控制器及其各个模块单元的选型,根据预期的控制方案确定可编程控制器I/0口数量,并进行定义。利用触摸屏实现人机接口设计,充分发挥触摸屏的优势,实现灌装机的控制操作。论文设计的灌装系统结构紧凑、检测手段先进、界面友好,可广泛应用在精油、香水、口服液等小剂量灌装场合。
[Abstract]:With the development of the world economy and the improvement of human living standards, the demand for essential oils for health care products is increasing. Because of the complexity of the refining process of essential oil products, the prices are expensive and volatile. Therefore, the performance of filling system put forward higher requirements. On the basis of understanding the present situation of filling equipment at home and abroad, this paper focuses on the mechanical structure design, filling precision detection, vessel defect detection, system electrical control and so on. The main contents are as follows: first, The mechanical structure is designed according to the technological requirements of essential oil filling machine. The mechanical structure of essential oil filling machine, such as flask arrangement, transmission, filling, internal plug, rotary cover and so on, is mainly designed. Photoelectric sensors are installed on the filling equipment to realize the functions of testing whether there are qualified filling containers or not, and whether there are qualified inner plugs, etc. This ensures the high efficiency and stability of the filling system under continuous operation. Secondly, the filling level detection method based on machine vision technology is put forward. In this paper, the model of camera is determined, the factors influencing lens parameters are analyzed, and the influence of different light sources on the experimental environment is compared. After the collected filling level image was transferred to PC, the height of liquid level was analyzed by HALCON software, and compared to determine whether the filling accuracy of the product met the expected requirements. Thirdly, the scheme of using machine vision system to detect filling bottle defects is put forward. The CCD sensor of the visual system is used to collect the images of the bottle mouth and the bottle body before filling respectively. According to the characteristics of the bottle mouth and the bottle body image, the defect part is extracted by the image processing technology. Then the defect image is separated from the background by edge detection technology, and the defective bottle is detected, the defect type is judged, and the bottle kicking mechanism is used to remove the defect. Finally, the electrical control system of filling machine using PLC as controller is designed. According to the design requirements of the control system, the hardware configuration, the selection of the controller and each module unit are carried out, and the number of I / 0 ports of the programmable controller is determined and defined according to the expected control scheme. The man-machine interface design is realized by using touch screen, and the advantages of touch screen are brought into full play, and the control operation of filling machine is realized. The filling system designed in this paper has the advantages of compact structure, advanced testing method and friendly interface. It can be widely used in small dosage filling fields such as essential oil, perfume, oral liquid and so on.
【学位授予单位】：长春工业大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TQ65;TB486

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