摘要
为实现生产过程的节能减排,提出一种大数据驱动的离散制造车间实时能效分析方法。首先,从能耗数据与工艺数据两个方面构建了制造数据封装模型,以实现制造大数据的采集与存储;其次,通过数据聚类与数据关联分析,建立了制造大数据分析方法,实现了能耗数据的特征提取及其与工艺数据的关联融合,并据此建立了离散制造车间多层次实时能效分析指标。该方法将大数据处理与制造车间能效分析相结合,通过能耗数据的挖掘分析与可视化展示,为智能车间的节能控制提供了决策依据。
In order to realize the energy saving and emission reduction in the production process,a big data-driven real-time energy efficiency analysis method of discrete manufacturing workshops was proposed in this paper.Firstly,the manufacturing data models which include energy data and process data were constructed to realize their acquisition and storage.Then,through data clustering and data correlation analysis,a manufacturing big data analysis method was established to realize the feature extraction of energy consumption data and their association with process data.Finally,multi-level real-time energy efficiency analysis index of discrete manufacturing workshops was provided.This method combines big data processing with energy efficiency analysis of manufacturing workshop,and provides a decision basis for energy saving control of intelligent workshop by analyzing and visualizing energy consumption data.
作者
张朝阳
吉卫喜
仇永涛
Zhang Chaoyang;Ji Weixi;Qiu Yongtao(School of Mechanical Engineering,Jiangnan University,Jiangsu Wuxi 214122,China;Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology,Jiangsu Wuxi 214122,China)
出处
《机械科学与技术》
CSCD
北大核心
2020年第9期1395-1403,共9页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金青年基金项目(51805213)
江苏省自然科学基金青年基金项目(BK20170190)资助。
关键词
大数据
能效分析
离散制造车间
数据关联
big data
energy efficiency analysis
discrete manufacturing workshop
data association
model
method
