面向数控加工工时预测的智能车间制造大数据分析技术体系研究  

Manufacturing Big Data Analysis Architecture for Working Hours Prediction of NC Machining Process in Intelligent Shop Floor

作　　者：王孟卓 尚鋆[1] 白翱[1] WANG Mengzhuo;SHANG Jun;BAI Ao(Institute of Mechanical Manufacturing Technology,China Academy of Engineering Physics,Mianyang 621900)

机构地区：[1]中国工程物理研究院机械制造工艺研究所,绵阳621900

出　　处：《现代制造技术与装备》2020年第4期33-37,共5页Modern Manufacturing Technology and Equipment

基　　金：中国工程物理研究院信息化课题(K1078-16-XX);国家自然科学基金(51705485)。

摘　　要：加工工时的准确度对数控车间的计算机辅助排产、工人绩效考核等具有重要作用。针对目前数控加工工时制定准确性不高、难以有效指导实际生产、主要依赖人的经验且制定效率低的问题,提出了智能制造环境下基于制造大数据的数控加工车间工序工时预测技术体系及实现步骤,并以Hadoop平台作为工序工时大数据分析与预测的应用平台,给出了其具体的应用方法,从而为数控加工工时的制定与预测提供了一种新的实现途径和技术手段。The accuracy of machining hours plays an important role in the computer-aided production scheduling of CNC workshop and the performance evaluation of workers.Aiming at the problems of low accuracy,difficult to effectively guide actual production,mainly relying on human experience and low efficiency in the formulation of NC machining hours,this paper puts forward the technical system and implementation steps of NC machining workshop working hours prediction based on manufacturing big data in the intelligent manufacturing environment,and takes Hadoop platform as the application platform for the analysis and prediction of working hours big data Its specific application method provides a new way and technical means for the formulation and prediction of NC machining hours.

关 键 词：数控加工 工序工时 大数据分析 工时预测 智能车间 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TH186[自动化与计算机技术—计算机科学与技术]