基于物联网的数控机床群状态监测研究  

Research on condition monitoring for the CNC machine tool group based on internet of things

作　　者：宋宜璇 童一飞[1] 缪方雷 李东波[1] Song Yixuan;Tong Yifei;Miao Fanglei;Li Dongbo(School of Mechanical Engineering,Nanjing University of Science and Technology,Jiangsu Nanjing,210094,China;The 29th Research Institute of China Electronics Technology Group Corporation,Sichuan Chengdu,610036,China)

机构地区：[1]南京理工大学机械工程学院,江苏南京210094 [2]中国电子科技集团公司第二十九研究所,四川成都610036

出　　处：《机械设计与制造工程》2023年第6期13-18,共6页Machine Design and Manufacturing Engineering

基　　金：中央高校基本科研业务费专项资金(30919011205)。

摘　　要：为提高数控机床群的加工效率和管理水平,对数控机床群状态监测进行研究,提出了基于物联网传输技术的状态监测方法。通过调用FOCAS库函数实现多线程数据采集,运用Spark Streaming大数据处理框架,结合Kafka等组件对采集的数据进行指标分析,采用MySQL数据库实现状态数据及数据指标的持久化。该方法能够用于对数控机床群的分散监测、集中管理和资源共享,为数控机床群的统一高效管理提供了新思路。In order to improve the processing efficiency and management level of CNC machine tool group,the condition monitoring of CNC machine tool group is studied and a condition monitoring method based on IoT transmission technology is proposed.By calling FOCAS library functions to achieve multi-threaded data collection,it uses Spark Streaming big data processing framework.Combined with Kafka and other components,it analyzes and diagnoses the collected data for metrics in MySQL database for data persistence.The method can be effectively used for decentralized monitoring of CNC machine tool groups.It resources sharing of CNC machine tool group and provides a new idea for the unified and efficient management of CNC machine tool group.

关 键 词：数控机床群 物联网 FOCAS Spark Streaming 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置]