面向数控加工过程智能管控的多源异构数据管理方法  

Multi-Source Heterogeneous Data Management Method for Intelligent Management and Control of CNC Machining Process

作　　者：王美清[1] 马鹏飞 边远 曹彦生 WANG Meiqing;MA Pengfei;BIAN Yuan;CAO Yansheng(School of Mechanical Engineering and Automation,Beihang University,Beijing 100191,China;Beijing Aerospace Xinfeng Mechanical Equipment Co.,Ltd.,Beijing 100049,China)

机构地区：[1]北京航空航天大学机械工程及自动化学院,北京100191 [2]北京航天新风机械设备有限公司,北京100049

出　　处：《航空制造技术》2020年第8期14-24,共11页Aeronautical Manufacturing Technology

基　　金：国防基础科研项目(JCKY2016601C006)。

摘　　要：以提升数控加工过程智能管控能力为出发点,分析面向加工过程智能管控的数据采集需求,梳理各类数据在实时性、数据量、结构化程度、存取速度以及可扩展性特点和管理需求的基础上,将多源异构的制造情境数据、实时加工过程数据和过程结果数据分为非实时结构化数据、实时加工过程数据和加工过程历史数据3类。提出了将实时内存数据库、关系数据库、非关系数据库和技术数据管理流(TDMS)文件等数据管理方法相融合的多源异构的数据组织与管理策略,实现了制造情境数据与加工过程数据的融合管理。最后以典型薄壁回转体零件数控加工过程的智能管控应用为例,验证了所提方法的可行性和有效性。In order to improve the intelligent management and control capabilities of CNC machining processes, the data acquisition requirements for intelligent management and control of machining processes are analyzed. The characteristics of various types of data are sorted out in real-time, data volume, structured degree, access speed, and scalability. Based on this, multi-source heterogeneous data which include manufacturing situation data, real-time process data and product inspection data, are divided into three categories: non-real-time structured data, real-time process data, and historical process data. Data organization and management strategies that incorporate data management methods such as memory databases, relational databases, non-relational databases, and technical data management streaming(TDMS) files, enable the integrated management of manufacturing situation data and process data. Finally, the application of intelligent management and control of a typical thin-walled rotating part CNC machining process is taken as an example to verify the feasibility and effectiveness of the proposed method.

关 键 词：数控加工 智能管控 多源异构数据 过程监测 数据组织管理 

分 类 号：TG659[金属学及工艺—金属切削加工及机床]