Research on Data Acquisition Platform for Real-Time Intelligent Control and Its Application

SUN Haiyong; JIN Hongyu; FU Hongya; HAN Zhenyu; ZHANG Liwei

doi:10.16080/j.issn1671-833x.2022.22.087

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Research on Data Acquisition Platform for Real-Time Intelligent Control and Its Application

更新时间：2025-10-30

- Research on Data Acquisition Platform for Real-Time Intelligent Control and Its Application
- Aeronautical Manufacturing Technology Vol. 65, Issue 22, Pages: 87-93(2022)
- 作者机构：
  
  1. 哈尔滨工业大学,哈尔滨,150001
  2. 通用技术齐齐哈尔二机床有限责任公司,齐齐哈尔,161000
- 作者简介：
- 基金信息：
- DOI：10.16080/j.issn1671-833x.2022.22.087
  CLC：
- Published：2022
- 稿件说明：
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孙海勇，金鸿宇，富宏亚，韩振宇，张立伟. 面向实时智能控制的数据采集平台及其应用研究[J]. 航空制造技术, 2022, 65(22): 87-93.

SUN Haiyong, JIN Hongyu, FU Hongya, HAN Zhenyu, ZHANG Liwei. Research on Data Acquisition Platform for Real-Time Intelligent Control and Its Application[J]. Aeronautical Manufacturing Technology, 2022, 65(22): 87-93.
孙海勇，金鸿宇，富宏亚，韩振宇，张立伟. 面向实时智能控制的数据采集平台及其应用研究[J]. 航空制造技术, 2022, 65(22): 87-93. DOI： 10.16080/j.issn1671-833x.2022.22.087.

SUN Haiyong, JIN Hongyu, FU Hongya, HAN Zhenyu, ZHANG Liwei. Research on Data Acquisition Platform for Real-Time Intelligent Control and Its Application[J]. Aeronautical Manufacturing Technology, 2022, 65(22): 87-93. DOI： 10.16080/j.issn1671-833x.2022.22.087.

摘要

生产设备的实时智能控制系统可以有效提高生产效率及生产质量，但目前关于智能制造的研究主要针对车间管理和生产调度方面，应用场景多是实时性不高的场合。针对这个问题，基于开放式数控系统研究了数据采集模块的集成方法，建立了基于Kafka 消息队列和MongoDB 数据库的实时数据采集平台，实现了加工数据实时接收以及数据的本地保存。同时，提出了一种基于非线性能量算子的颤振在线监测方法，以模块化的方式部署在开放式数控系统中，通过铣削薄壁件试验验证了数据实时采集平台及在线颤振监测模块的实时性和有效性。

Abstract

Real-time intelligent control of production equipment can effectively improve production efficiency and production quality

but the current research on intelligent manufacturing mainly focuses on workshop management and production scheduling

and the application scenarios are mostly occasions with low real-time performance. For this problem

the integration method of data collection module was studied based on the open CNC system

and a real-time data collection platform based on Kafka message queue and MongoDB database cluster was established which realized the real-time reception of processing data and the local preservation of data. A chatter online monitoring method based on nonlinear energy operator was proposed and deployed in the open CNC system with modularity. The real-time data acquisition platform and the online chatter monitoring module were verified by milling thin-walled parts in real time and effectiveness.

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