摘要
通过分析针织企业生产管理过程中存在的生产排单效率低、生产数据实时性差、缺乏对异常事件及时响应等问题,借助物联网平台,提出一种基于大数据的针织MES生产计划与调度系统结构模型,阐述该系统的构建方法和关键技术。文章利用云计算技术实现自动排产,建立针织多维数据模型,并实现实时跟踪与异常获取,再针对不同的异常事件完成智能化处理,最后将其应用于企业实际生产。结果表明,该系统运行稳定,生产状态反馈及时,数据展现方式直观,提高了生产计划与调度工作效率,推进了针织生产管理工作的信息化。
Through analyzing the problems in the production management of knitting, such as the low efficiency of production scheduling, poor real-time data, lack of timely response to abnormal events and so on, and with the help of internet of things platform, it presents a structural model of knitting MES production planning and schedul- ing system based on big data, and expounds the construction method and key technology. It uses cloud computing technology to achieve automatic scheduling, establishes multidimensional data model of knitting to achieve real-time tracking and abnormal accessing, and then completes intelligent processing according to different abnormal events, which is applied in the practical production finally. The results show that the system is stable, the production status is timely feedback, and the data display is intuitive, which improves the efficiency of production planning and scheduling, and promotes the informatization of knitting production management.
作者
冯勇
蒋高明
吴志明
Feng Yong, Jiang Gaoming, Wu Zhiming(Engineering Research Center of Knitting Technology, Ministry of Education, Jiangnan University, Wuxi, Jiangsu 214122, Chin)
出处
《针织工业》
北大核心
2018年第3期1-4,共4页
Knitting Industries
基金
国家工信部智能制造综合标准化与新模式应用项目子课题
工信部联装[2016]213号
江苏省产学研联合创新资金-前瞻性联合研究项目(BY2016022-35)
关键词
物联网
云计算
针织MES
生产计划与调度
多维数据模型
大数据
Internet of Things
Cloud Computing
Knitting Manufacturing Execution System
Production Plan- ning and Scheduling
Muhi-dimensional Data Model
Big Data
