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基于边云协同的纺织工业云平台设计及实现

Design and Implementation of Textile Industry Cloud Platform Based on Edge-cloud Coordination
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摘要 为减少传统纺织染整企业能源消耗,提高生产效率,加快传统染整企业向智能化、数字化企业转型,基于工业互联网、微服务、云计算、人工智能、大数据技术框架提出一种针对纺织印染企业的iTEX工业云平台。指出该平台边云协同工作,通过边缘智能设备和智能网关对生产现场数据进行采集、清洗上传;在云端同时搭建了MES、EMS、EAM、RMS等系统,帮助传统企业提高对订单的全流程追踪能力,提高生产效率、降低生产成本;通过对设备的全生命周期检测,增强设备管控能力,能够有效监控能源消耗、设备运转状态以及安全预警,帮助企业节约能耗,提升设备利用率,实现安全生产;通过对生产工艺管理,实现工艺优化、工艺自动下发,提升工艺成功率。实践表明,应用该平台后,设备利用率、生产效率、能源消耗以及人工成本等方面得到了明显改善。 In order to reduce the energy consumption of traditional textile dyeing and finishing enterprises,improve production efficiency and accelerate the transformation of traditional dyeing and finishing enterprises to intelligent and digital enterprises,the iTEX industrial cloud platform for textile printing and dyeing enterprises is proposed based on the technical framework of industrial Internet,micro service,cloud computing,artificial intlligence and big data.The platform works based on Edge-cloud coordinated computing,and collects,cleans and uploads the production site data through edge intelligent devices and intelligent gateways.MES,EMS,EAM,RMS and other systems have been built in the cloud to help traditional enterprises improve the whole process tracking ability of orders,improve production efficiency and reduce production costs.By monitoring the entire lifecycle of equipment and enhancing its control capabilities,it is possible to effectively monitor energy consumption,equipment operation status,and safety warnings,help enterprises save energy consumption,improve equipment utilization and achieve safe production.By managing the production process,it is possible to achieve process optimization,automatic process distribution and improve the success rate of the process.After the application of the platform,the equipment utilization,production eficiency,energy consumption and labor cost have been significantly improved.
作者 朱浩 韦帅 Zhu Hao;Wei Shuai(Foshan Keyenlinx Technology Co.,Ltd.,Foshan,Guangdong 528000,China)
出处 《针织工业》 北大核心 2024年第6期46-50,共5页 Knitting Industries
关键词 纺织 物联网 工业云平台 大数据 边云协同 Textile Internet of Things Industrial Cloud Platform Big Data Edge-cloud Coordination
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