现代农业设施的溯源管理的研究——基于图像识别的太阳能电池片分析  

Study on traceability management of modern agricultural facilities: based on the analysis of image recognition of solar cells

作　　者：石铁[1] 索雪松[1] 周靖仁 韩昌兴 高立艾[1] 

机构地区：[1]河北农业大学机电工程学院,河北保定071000

出　　处：《浙江农业学报》2015年第2期285-289,共5页Acta Agriculturae Zhejiangensis

基　　金：河北农业大学大学生科技创新重点扶持计划项目(2013004);河北农业大学理工基金(ZD201402)

摘　　要：为了更好地解决偏远山区农村新能源的问题,实现农业现代化需求,建立了太阳能电池板溯源管理系统。该研究设计了一种在硅锭侧面激光打印条形码,提出了太阳能电池片从硅锭到层压各工序环节与条码信息合二为一的溯源管理系统。而对于切割成微米级厚度的电池片侧面的条码图像进行处理和识别,该研究首先采用数字图像处理,然后应用扫描像素数判断黑白条宽和码字分割的方法,实现条码图像边缘平滑和识别,提升农业设施结构,为发展现代农业、节能、环保等提供技术支持。In order to solve the problem of remote mountainous rural new energy, realize agricultural modernization, the solar panels traceability management system was established.The study designed prints bar codes in a silicon in-got side lasers, and proposed the traceability information management system which combined solar cells made from silicon ingot to link each step lamination with barcode.And for the image processing and recognition of the cell side of barcode cut into the thickness of micron grade, this study firstly used the digital image processing, then the meth-od of scan pixels was applied to judge article black and white and code word segmentation, and the barcode image edge was smooth and could be identified, which could promote structure of agricultural facilities, and provide some technical supports for the development of modern agriculture, energy saving, environmental protection, etc.

关 键 词：硅片 微米级厚度 条形码 图像处理 溯源 

分 类 号：TP278[自动化与计算机技术—检测技术与自动化装置]