胡宇航.基于智慧物流的电动自适应封箱机设计[J].包装工程,2019,40(15):158-163.
HU Yu-hang.Design of Self-adaption Electric Packaging Machine Based on Intelligent Logistics[J].Packaging Engineering,2019,40(15):158-163. |
| 基于智慧物流的电动自适应封箱机设计 |
| Design of Self-adaption Electric Packaging Machine Based on Intelligent Logistics |
| 投稿时间：2019-03-28 修订日期：2019-08-10 |
| DOI：10.19554/j.cnki.1001-3563.2019.15.025 |
| 中文关键词: 自适应 纸箱封箱机 大数据 智慧物流 |
| 英文关键词: self-adaption carton sealing machine big data intelligent logistics |
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| 中文摘要: |
| 目的 设计一种电动自适应封箱机，以提高电商和快递物流行业的工作效率，并收集相关的物流包裹数据，在物流前端为智慧物流奠定数据基础。方法 分析目前市面上存在的封箱机的问题，以及快递物流行业待解决的问题。结合封箱过程中出现的难点和封箱的原理，设计封箱机的机械结构及控制方案，并对其工作效率进行理论计算，通过实验验证计算结果。结果 原型机可以适用于宽（110~320）mm×高（153~290）mm的任意长度纸箱的封箱，所需时间为5~12 s。同时，机器可以采集包裹的详细数据，并上传至上位机。结论 该设计可以自动适应封装不同尺寸的纸箱，具有纯电动、体积小、成本低等优点，适合于中小型电商以及快递站点使用；该技术还可应用于大型B2C电商末端的商品打包封箱环节；其采集的相关物流数据将会是未来构建智慧物流体系的大数据基础。 |
| 英文摘要: |
| The work aims to design a self-adaption electric packaging machine to increase the working efficiency of e-commerce, express and logistics and collect the data related to packages, thus providing data for intelligent logistics at the industrial front line. The problems of packaging machine currently sold in the market and the problems to be solved in express logistics industry were analyzed. In combination with the difficulties and the principle of packaging, the mechanical structure and control scheme of the packaging machine were designed, and the working efficiency was calculated theoretically. Then, calculation results were verified by experiments. The prototype could be used to seal cartons of any length (110~320 mm wide and 153~290 mm high) and required time was 5~12 s. At the same time, the machine could collect the detailed data of the package and upload these data to the host computer. The design can automatically adapt to pack carton in different sizes. Features like pure electric, small size and low cost are suitable for small and medium-sized e-commerce and express delivery sites. The technology can also be applied to large B2C e-commerce, such as JD, Tmall and other terminal goods packaging and sealing links. The relevant logistics data collected will be the big data foundation for building an intelligent logistics system in the future. |
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