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计算机系统应用英文版:2022,31(1):111-117
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基于物联网的倍捻机监控系统
(浙江理工大学 机械与自动控制学院, 杭州 310018)
Double Twister Monitoring System Based on Internet of Things
(Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China)
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Received:March 23, 2021    Revised:April 11, 2021
中文摘要: 目前我国纺织设备行业仍存在着大量粗放型离线管理,传统机械自动化设备未能适应市场的各种变化和发展,耗费大量的人工成本.针对目前纺织工业设备行业存在的这些问题,以新型工业化为目标,利用物联网、云计算等技术,设计并实现了基于物联网的倍捻机监控系统,提出以MQTT服务器和云下智能模块为核心的远程数据采集和传输方案,利用数据库和Web服务器技术,实现用户对倍捻机等纺织设备数据的数据存储和远程监控及控制功能.云下智能模块采用即插即用和自学习站号方式提高传感器组网的便捷性,节省大量布线困难.实践结果测试:该系统能实现目标功能,降低约2.1%的原材料成本,提高了工人25%的工作效率,提升了纺织企业车间的信息化,做到降本增效.
中文关键词: 工业物联网  MQTT  Web  倍捻机  即插即用
Abstract:At present, extensive offline management is still common in China’s textile equipment industry. Traditional mechanical automation equipment fails to adapt to the various changes and development of the market and consumes enormous labor costs. To tackle the problems in the textile equipment industry, this study develops a double twister monitoring system based on the Internet of things with some technologies such as the Internet of things and cloud computing, taking new industrialization as the goal. It also puts forward a remote data acquisition and transmission scheme with MQTT server and intelligent module under cloud at the core and realizes the storage, remote monitoring, and control of data from double twisters and other textile equipment with the help of a database and the Web server technology. The intelligent module under cloud adopts plug-and-play and self-learning station number modes to improve the convenience of sensor networking, avoiding plenty of routing difficulties. Practice test results show that the system can achieve the target functions and enhance the informatization level of workshops in textile enterprises. The cost of raw materials is reduced by about 2.1%, and the work efficiency of workers is increased by 25%.
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郭靖,张华.基于物联网的倍捻机监控系统.计算机系统应用,2022,31(1):111-117
GUO Jing,ZHANG Hua.Double Twister Monitoring System Based on Internet of Things.COMPUTER SYSTEMS APPLICATIONS,2022,31(1):111-117