自动云药房系统中进药系统的设计
|
摘要
本文针对自动云药房系统的进药功能需求设计出了一套轻量级、低成本、高效的全自动进药系统。主要包括硬件系统的选型、搭建,软件控制与算法设计等。系统实现的功能如下:装了药品的箱子置于指定位置,定位出其中某盒药品的三维坐标;然后机械手臂将该药品搬运至条形码扫描区域,获取到药品条形码号作为结果返回给自动云药房系统原有的控制单元;最后将药品放置于指定位置的传送带上。其中药品定位和条形码扫描均通过摄像头拍摄图片,再经过图像处理的方法实现。一直循环上面的操作直至药品全部取完。实验证明,本系统的平均进药速度约为11 s/盒,相比较人工直接扫描进药要慢一点。但是由于可以24 h长期稳定进药,综合进药量比人工操作大,所以可以替代人工进药。但是仍然会存在漏检的情况,漏检率为6%左右,需进一步完善。本文设计的系统不仅满足自动药房系统的全自动进药需求,并且为快递自动分拣等应用场景提供了参考。
This paper designed a set of lightweight, low cost and efficient automatic injection system for the requirements of the drug delivery function of automatic pharmacy system. It mainly included the selection, construction of the hardware system, software control and algorithm design. The functions of this system were realized as follows. Firstly, the box containing drugs was placed in a designated position, which was located. Then, the mechanical arm moved the drug to the bar code scanning area to obtain the drug bar code number and then returned to the original control unit of the automatic cloud pharmacy system. Finally, the medicine was placed on the conveyor belt at the designated location. Both drug location and bar code scanning were taken by camera and then processed by image. Keep circulating until the medicine was finished. Experiments showed that the average speed of system was about 11 s/box, which was lower than artificial operation. However, due to the 24 h long-term and stable operation, the number of medicine finished was larger than the manual operation, so it could replace artificial operation. However, there was still some leakage detections, the leakage rate was about 6%, which need to be further improved. The system designed in this paper not only meets the demand of automatic pharmacy system, but also provides reference for automatic sorting and other application scenarios.
This paper designed a set of lightweight, low cost and efficient automatic injection system for the requirements of the drug delivery function of automatic pharmacy system. It mainly included the selection, construction of the hardware system, software control and algorithm design. The functions of this system were realized as follows. Firstly, the box containing drugs was placed in a designated position, which was located. Then, the mechanical arm moved the drug to the bar code scanning area to obtain the drug bar code number and then returned to the original control unit of the automatic cloud pharmacy system. Finally, the medicine was placed on the conveyor belt at the designated location. Both drug location and bar code scanning were taken by camera and then processed by image. Keep circulating until the medicine was finished. Experiments showed that the average speed of system was about 11 s/box, which was lower than artificial operation. However, due to the 24 h long-term and stable operation, the number of medicine finished was larger than the manual operation, so it could replace artificial operation. However, there was still some leakage detections, the leakage rate was about 6%, which need to be further improved. The system designed in this paper not only meets the demand of automatic pharmacy system, but also provides reference for automatic sorting and other application scenarios.
引文
[1]杨连举.基于“互联网+”推动大健康医药产业优快发展[J].中国发展,2017,17(5):79-81.
[2]曾颖,赖伟华,朱红球,等.大型综合门诊药房自动化配药系统模式的建立与优化[J].中国药房,2017,28(19):2670-2673.
[3]姚洁文,陈燕鸿.自动化药房管理系统在医院药房中的应用价值[J].中国药物经济学,2016,11(4):189-190.
[4]顾继红,缪丽燕.自动化药房系统在门诊药房的应用[J].医药导报,2013,32(2):273-275.
[5]卜飞宇.一种基于边缘直线检测的矩形提取方法[J].电脑知识与技术,2017,13(31).
[6]马敬奇,卢亚,李柳琼,等.基于Canny算子和改进型Hough变换的边缘定位方法[J].自动化与信息工程,2017,38(3):32-36.
[7]张从鹏,魏学光.基于Harris角点的矩形检测[J].光学精密工程,2014,22(8):2259-2266.
[8]李光瑞,蔡安东,黄梅.基于Haar-like矩形特征的交通标志识别[J].现代计算机:专业版,2014,(7):62-65.
[9]李立明,柴晓冬,郑树彬.基于RGB颜色模型的轨道轮廓识别算法[J].传感器与微系统,2012,31(5):142-144.
[10]宗永胜,胡晓辉,张荣光.一种自适应双阈值中值滤波方法[J].小型微型计算机系统,2017,38(7):1642-1647.
[11]路学安.光照不均匀车牌图像直方图均衡化增强算法研究[D].昆明:昆明理工大学信息工程与自动化学院,2015.
[12]黄认真.模糊QR码图像的自动识别技术研究[D].湘潭:湖南大学,2015.
[13]刘松,卢一相,孙冬.USB摄像头的条形码识别[J].微电子学与计算机,2014,(1).
[14]李璐.基于ZXing的条码技术研究[J].福建电脑,2014,(5):17-18.
[15]Bradski GR,Kaehler A.Learning Open CV-Computer Vision With the Open CV Library:Software that Sees[M].Trier:DBLP,2008.
[16]Howse J.Open CV Computer Vision with Python[M].Olton:Packt Publishing Ltd,2013.
[17]张绪鹏,沈敏德,马琳,等.药品自动分拣设备的研究进展[J].中国药房,2012,(5):452-454.C
[2]曾颖,赖伟华,朱红球,等.大型综合门诊药房自动化配药系统模式的建立与优化[J].中国药房,2017,28(19):2670-2673.
[3]姚洁文,陈燕鸿.自动化药房管理系统在医院药房中的应用价值[J].中国药物经济学,2016,11(4):189-190.
[4]顾继红,缪丽燕.自动化药房系统在门诊药房的应用[J].医药导报,2013,32(2):273-275.
[5]卜飞宇.一种基于边缘直线检测的矩形提取方法[J].电脑知识与技术,2017,13(31).
[6]马敬奇,卢亚,李柳琼,等.基于Canny算子和改进型Hough变换的边缘定位方法[J].自动化与信息工程,2017,38(3):32-36.
[7]张从鹏,魏学光.基于Harris角点的矩形检测[J].光学精密工程,2014,22(8):2259-2266.
[8]李光瑞,蔡安东,黄梅.基于Haar-like矩形特征的交通标志识别[J].现代计算机:专业版,2014,(7):62-65.
[9]李立明,柴晓冬,郑树彬.基于RGB颜色模型的轨道轮廓识别算法[J].传感器与微系统,2012,31(5):142-144.
[10]宗永胜,胡晓辉,张荣光.一种自适应双阈值中值滤波方法[J].小型微型计算机系统,2017,38(7):1642-1647.
[11]路学安.光照不均匀车牌图像直方图均衡化增强算法研究[D].昆明:昆明理工大学信息工程与自动化学院,2015.
[12]黄认真.模糊QR码图像的自动识别技术研究[D].湘潭:湖南大学,2015.
[13]刘松,卢一相,孙冬.USB摄像头的条形码识别[J].微电子学与计算机,2014,(1).
[14]李璐.基于ZXing的条码技术研究[J].福建电脑,2014,(5):17-18.
[15]Bradski GR,Kaehler A.Learning Open CV-Computer Vision With the Open CV Library:Software that Sees[M].Trier:DBLP,2008.
[16]Howse J.Open CV Computer Vision with Python[M].Olton:Packt Publishing Ltd,2013.
[17]张绪鹏,沈敏德,马琳,等.药品自动分拣设备的研究进展[J].中国药房,2012,(5):452-454.C