Automated production data integration for energy-oriented process chain design

被引：2

作者：

Labbus, Ingo ^{[1
,2
]}

Schmidt, Christopher ^{[1
]}

Der, Antal ^{[1
]}

Herrmann, Christoph ^{[1
]}

Thiede, Sebastian ^{[1
]}

机构：

[1] Tech Univ Carolo Wilhelmina Braunschweig, Inst Machine Tools & Prod Technol, Chair Sustainable Mfg & Life Cycle Engn, Langer Kamp 19b, D-38106 Braunschweig, Germany

[2] Volkswagen Aktiengesell, Mailbox 011-11790, D-38436 Wolfsburg, Germany

来源：

51ST CIRP CONFERENCE ON MANUFACTURING SYSTEMS | 2018年 / 72卷

关键词：

Energy efficiency; Production engineering; Production data acqustion; OPC UA;

D O I：

10.1016/j.procir.2018.03.184

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Energy efficiency is an important aspect in automotive industry. While energy demand occurs during the operation phase of a production system, it is determined during the planning process. To enable a forecast of energy consumption during process chain design and a demand specific dimensioning of machine components, a modular framework consisting of specialized planning tools and an integrated database is developed. A seamless information flow based on OPC UA and AutomationML connects shop floor and planning environment and ensures data consistency. A database integrates available data sources and condenses acquired raw data to relevant reference data. The concept is prototypically implemented in a crank shaft production line. 2018 The Authors. Published by Elsevier B.V.

引用

页码：551 / 556

页数：6

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