计算机集成制造系统 ›› 2018, Vol. 24 ›› Issue (第9): 2223-2233.DOI: 10.13196/j.cims.2018.09.010

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智能车间系统下面向加工深度分析的聚类应用

郭安1,4,于东4,胡毅2,3,4,毕筱雪1,4,刘劲松1,4,李浩1,4   

  1. 1.中国科学院大学
    2.中国科学院沈阳计算技术研究所高档数控国家工程研究中心
    3.沈阳高精数控智能技术股份有限公司
    4.中国科学院沈阳计算技术研究所
  • 出版日期:2018-09-30 发布日期:2018-09-30
  • 基金资助:
    2016年智能制造综合标准化与新模式应用资助项目。

Clustering algorithm application for cutting depth analysis in intelligent workshop system

  • Online:2018-09-30 Published:2018-09-30
  • Supported by:
    Project supported by the 2016 Intelligent Manufacturing Comprehensive Standardization and New Mode Application Program,China.

摘要: 为兼顾系统对数据“实时性”与“海量性”的要求,提出一种具有实时数据库与历史数据库的智能车间系统架构并着重论述采集层实现方案。为平衡系统代价与应用性能,完成理想模型向加工环境的转换,提出一种以理想平台实验、仿真对比实验、验证性实验为核心的(ISVE)系统应用开发模式,并提出一种生产参数分析应用模型,通过运用自适应滤波、小波包分解、模糊逻辑等方法处理加工过程中主轴进给方向加速度信号实现矩形铣削平面深度的批量识别。最后以该模型为例,展示了车间智能应用的开发过程,证明了ISVE开发模式的有效性。

关键词: 信息物理系统, 智能车间, 模糊聚类, 信号处理, 智能应用

Abstract: To reconcile the demand of system for both “real-time” and “massiveness” in data collection module,an intelligent workshop system architecture focused on the implementation of data collection layer was proposed.To balance system hardware cost and application performance,an Ideal platform,Simulation and Verification Experiments (ISVE) centered system application developing pattern was created by conversing the ideal model to practical application environment.An application model for production parameter analysis was proposed,which could process acceleration signal in the feed direction by using the methods such as adaptive filtering,wavelet packet decomposition and fuzzy logic during machining and further achieve the depth of rectangular milling plane.The proposed application was taken as an example to reveal the development process of the intelligent workshop application,and the effectiveness ISVE development model was also proved.

Key words: cyber-physical systems, intelligent workshop, fuzzy clustering, signal processing, intelligent application

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