基于工业云的电子多臂机服役过程监控系统设计与应用  

Design and Application of Working Performance Monitoring System for Electronic Dobby based on Industrial Cloud

作　　者：于鸿彬 尹洪环[1] 蒋秀明 吕雪奎 徐振宇[3] 

机构地区：[1]天津工业大学电子与信息工程学院 [2]天津工业大学天津市现代机电装备技术重点实验室 [3]江苏金龙科技股份有限公司

出　　处：《纺织导报》2020年第11期53-58,共6页China Textile Leader

基　　金：国家重点研发计划项目(2017YFB1104202)。

摘　　要：文章针对电子多臂机服役过程中,多臂机制造和织造企业间无法进行生产过程状态监控问题,进行了基于工业云的电子多臂机服役过程监控系统设计开发。系统采用集中式和分布式数据采集平台,实现数据的多元化高效采集。运用工业大数据环境下数据处理、服役性能识别、故障诊断等技术,针对数据集成分析功能,结合数据挖掘和信息化数据管理等数据分析技术,利用径向基(RBF)函数神经网络,建立了电子多臂机服役性能预测与评价模型。为电子多臂机制造及织造企业提供了智能、高效、可靠和及时的决策支持,并通过实际应用验证了监控系统的可行性。In the service process of the electronic dobby,the dobby manufacturing and weaving enterprises can’t carry out the production process monitoring,for solve this problem the electronic dobby working performance monitoring system is designed and developed based on the industrial cloud.The system uses a centralized and distributed data acquisition platform to achieve diversified and efficient data collection.Using data processing,working performance recognition,fault diagnosis and other technologies in industrial big data environment,based on data integration analysis function,combined with data analysis techniques such as data mining,information data management and the radial basis function(RBF)neural network,the dobby working performance prediction and evaluation model is established.It provided intelligent,efficient,reliable and timely decision support for electronic dobby manufacturing and weaving enterprises,and the feasibility of the monitoring system through practical applications is verified.

关 键 词：工业云 电子多臂机 监控系统 RBF神经网络 性能评价 

分 类 号：TK227[动力工程及工程热物理—动力机械及工程] TP393[自动化与计算机技术—计算机应用技术]