针织生产智能管控的通用数据模型研究
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摘要
针对针织面料生产智能管控需求,从车间计划与调度、产品生产过程和设备监控管理三个典型管控功能角度出发,基于针织生产大数据分析,建立了针织面料生产智能管控通用数据模型。依据"数据-模型-关键流程-管控"方法,对针织面料生产过程产生的大数据进行抽取分析,考虑产品信息、设备信息和生产流程信息,实现对高端针织面料生产全流程的多维数据描述;在此基础上,分析生产计划与调度、生产执行管理和设备监控关键流程中的数据流,建立相应的通用数据模型,为进一步实现针织生产关键流程织造和染整流程的智能制造管控提供基础指导。
Based on the intelligent control function analysis of knitted fabric production,from the perspectives of three typical management and control functions,such as workshop planning and scheduling,product production processes and equipment management,an intelligent data management model for knitted fabric production was analyzed and established.The"data-model-key processcontrol"method was adopted to extract and analyze the data of the production processes of knitted fabrics.Product informations,equipment informations and production process informations were analyzed to describe the multi-dimensional data of high-end knitted fabric production.General data models for key processes such as production planning and scheduling,production execution and equipment management were analyzed and established to provide basic guidance for further intelligent control of weaving and dyeing processes in the key processes of knitting productions.
Based on the intelligent control function analysis of knitted fabric production,from the perspectives of three typical management and control functions,such as workshop planning and scheduling,product production processes and equipment management,an intelligent data management model for knitted fabric production was analyzed and established.The"data-model-key processcontrol"method was adopted to extract and analyze the data of the production processes of knitted fabrics.Product informations,equipment informations and production process informations were analyzed to describe the multi-dimensional data of high-end knitted fabric production.General data models for key processes such as production planning and scheduling,production execution and equipment management were analyzed and established to provide basic guidance for further intelligent control of weaving and dyeing processes in the key processes of knitting productions.
引文
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[2]马艳丽,刘茜,刘玮.用于智能纺织品的柔性传感器研究进展[J].传感器与微系统,2015,34(4):1-3.MA Yanli,LIU Qian,LIU Wei.Research Progress of Flexible Sensor for Smart Textiles[J].Transducer and Microsystem Technologes,2015,34(4):1-3.
[3]周昊飞,刘玉敏.基于深度置信网络的大数据制造过程实时智能监控[J].中国机械工程,2018,29(10):1201-1207.ZHOU Haofei,LIU Yumin.Real-time Intelligent Monitoring for Manufacturing Processes with Big Data Based on Deep Belief Networks[J].China Mechanical Engineering,2018,29(10):1201-1207.
[4]张洁,高亮,秦威,等.大数据驱动的智能车间运行分析与决策方法体系[J].计算机集成制造系统,2016,22(5):1220-1228.ZHANG Jie,GAO Liang,QIN Wei,et al.Big-datadriven Operational Analysis and Decision-making Methodology in Intelligent Workshop[J].Computer Integrated Manufacturing System,2016,22(5):1220-1228.
[5]邵景峰,贺兴时,王进富,等.大数据环境下的纺织制造执行系统设计[J].机械工程学报,2015,51(5):160-170.SHAO Jingfeng,HE Xingshi,WANG Jinfu,et al.Design of Textile Manufacturing Execution System Based on Big Data[J].Journal of Mechanical Engineering,2015,51(5):160-170.
[6]孙延.纺织企业制造执行系统(MES)的设计与实现[J].新技术新工艺,2014(5):57-61.SUN Yan.Design and Implementation of Textile Manufacturing Execution System(MES)[J].New Technology&New Process,2014(5):57-61.
[7] DU Zhaofang,HAN Jianghong,LIU Xiaoping.A Method for Solving Textile Production Scheduling Problem[J].Journal of Donghua University(English Edition),2011,28(2):182-186.
[8] WANG J,PAN R,GAO W,et al.An Automatic Scheduling Method for Weaving Enterprises Based on Genetic Algorithm[J].The Journal of the Textile Institute,2015,106(12):1377-1387.
[9]邱照景,周律,程珣,等.基于生产优化调度的污染源头控制方案研究——以棉针织染整企业为例[J].环境工程学报,2016,10(2):1010-1016.QIU Zhaojing,ZHOU Lü,CHENG Xun,et al.Study on Optimizing Production Schedule Based on Pollution Source Control:a Case Study in a Cotton Knitting Dyeing Mill[J].Chinese Journal of Environmental Engineering,2016,10(2):1010-1016.
[10]张彩霞,董玉德,张沙,等.纺织企业生产计划调度方法的研究与实现[J].西安工程大学学报,2014(2):201-206.ZHANG Caixia,DONG Yude,ZHANG Sha,et al.Research and Implementation of Production Planning and Scheduling Method of Textile Enterprise[J].Journal of Xi’an Polytechnic University,2014(2):201-206.