摘要
Abstract
To address the long-standing reliance on manual operation of production equipment in the dyeing and finishing industry,an intelligent unmanned workshop solution is proposed,developed by Industrial Internet of Things(IIoT)technologies with machine learning methods,inspired by practices from other manufacturing sectors.The solution,centered on multimodal sensing and artificial intelligence(AI),achieves high-frequency data acquisition,anomaly detection,and closed-loop control within an edge-cloud collaborative framework.It breaks down data silos among equipment,processes,and management systems by adopting IIoT standards,thereby establishing a full-process closed loop that encompasses pa-rameter prediction,recipe deployment,online color measurement,and iterative model optimization.Taking the dyeing pro-cess as an example,the system accomplishes end-to-end automation and adaptive control through the cycle of target color→recipe generation→process monitoring and replenishment→online color measurement→model updating.Owing to the in-herent complexity of dyeing and finishing processes,fully unmanned operation remains challenging in the short term.How-ever,this solution allows for a phased and steady implementation towards full autonomy as equipment interoperability,safe-ty compliance,and exception handling capabilities gradually mature.关键词
染整行业/智能无人车间/工业物联网/人工智能Key words
dyeing and finishing industry/intelligent unmanned workshop/Industrial Internet of Things/artificial intelligence分类
轻工纺织
