盆花自动分级物联网系统研发

Research and Development for Potted Flowers Automated Grading System Based on Internet of Things

为了实现对温室盆花分级的机械化、智能化操作,提升盆花的销售档次,保持盆花分级的一致性,开发了一种基于机器视觉、PLC控制和物联网技术的盆花自动分级系统,完成对温室内种植的各种盆花的自动分级工作,系统的硬件组成包括PLC控制器、RFID电子标签及读卡器、CCD摄像机、计算机等,软件则包括组态软件、图像处理软件等,其中摄像机和图像处理软件用以判断盆花等级,花盆内置RFID电子标签用以存储和识别等级信息,PLC负责对整个系统进行控制和调度。结果表明：该系统可以替代人工,准确、高效地对各种盆花幼苗及成熟盆花进行分级,获得较为理想的分级效果,每小时可处理600~800盆,一次分级准确率可达85%以上。物联网等新技术在温室盆花生产中的成功应用,不仅节省了人力,提高了盆花生产效率,保证分级一致性,促进温室生产自动化,提高花卉产业的装备水平和经济效益,且该系统适用范围很广,经适当改造后还可以推广应用于其他分级领域。

In order to realize mechanization and intelligence of the potted flowers grading, promote level of sale for the potted flowers, and assure consistency of the potted flowers grading, this paper presents an automatic grading system for the potted flowers based on machine vision, PLC, and internet of things technology, it can complete the work of automatic grading for various potted flowers in the green house. Hardware of the system constituted by PLC, RFID, CCO camera, computer, etc., software constituted by configuration software, image grading processing software, etc. Among them the camera and image processing software are used to decide the grade of the potted flowers, the chip built-in the flower pot is used to save and identify the grade information, and the PLC is responsible for control and scheduling of the whole system. The test results proved that the system could replace the manual work and could be effectively and accurately used for grading of young potted flowers and mature potted flowers, and achieve satisfying resuh. It can process 600-800 potted flowers per hour and the accuracy could be above 85% at one time. Successful application of the internet of things technology for the potted flowers in green house, not only could save manpower, promote consistency and efficiency of the potted flowers grading, assure consistency of the grading results, accelerate production automation for greenhouse, but also the applied range of this system is wide, it can be popularized and used in other grading fields.