摘 要:如今的电子商务、物流服务已深入到我们生活的每一个角落。校园网购已然成为高校师生的主要购物方式,新冠疫情影响下网购量激增。全国各大高校物流末端的配送主要还是“地摊”和快递柜模式,由于高校师生取件时间比较固定,经常出现排长龙取快递的现象,取件效率低下、秩序混乱。为此,文章基于电子传感技术、语音识别技术设计一款可以实现多件同取的快递取件系统,传统取一件的时间可完成多件同取,缩短取件时间,避免扎堆现象的发生,语音功能可实现非接触式取件,在疫情防控下有着很高的应用价值。
关键词:末端配送;取件效率;语音识别技术;多件同取
DOI:10.19850/j.cnki.2096-4706.2022.03.001
基金项目:全国职业教育科学研究规划课题(2020QZJ093)
中图分类号:TP311 文献标识码:A 文章编号:2096-4706(2022)03-0001-05
Research and Application of Campus Express Pickup Control System Based on Multiple Pickup Mode
NIU Yong, ZHOU Yuao, MA Lin
(Xining Urban Vocational & Technical College, Xining 810001, China)
Abstract: Today’s E-commerce and logistics services have penetrated into every corner of our lives. Campus online shopping has become the main shopping method for teachers and students in colleges and universities, especially during the COVID-19 epidemic, the number of online shopping has surged. The logistics terminal distribution of major universities across the country is mainly the “street stall” and express cabinet mode. Due to the relatively fixed time for college teachers and students to pick up parts, there are often long queues to pick up express, which leads to low efficiency and disorder. Therefore, based on electronic sensing technology and speech recognition technology, this paper designs an express pick-up system that can realize multiple pieces taken at the same time. The traditional time of taking one piece can complete multiple pieces taken at the same time, shorten the pick-up time, avoid the occurrence of pile up, and the speech function can realize non-contact pick-up, which has high application value in epidemic prevention and control.
Keywords: terminal distribution; pickup efficiency; voice recognition technology; multiple pieces taken at the same time
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作者简介:牛勇(1989—),男,回族,甘肃定西人,讲师,硕士研究生,研究方向:电子信息技术、物联网应用技术;马麟(1997—),男,回族,青海西宁人,助教,本科,研究方向:物联网应用技术;周玉熬(1973—),男,汉族,青海大通人,副教授,本科,研究方向:创新创业教育。