Highly modular and generic control software for adaptive cell processing on automated production platforms

被引：17

作者：

Jung, Sven ^{[1
]}

Ochs, Jelena ^{[1
]}

Kulik, Michael ^{[1
]}

Koenig, Niels ^{[1
]}

Schmitt, Robert H. ^{[1
,2
]}

机构：

[1] Fraunhofer Inst Prod Technol IPT, Steinbachstr 17, D-52074 Aachen, Germany

[2] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, Campus Blvd 30, D-52074 Aachen, Germany

来源：

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

基金：

欧盟地平线“2020”;

关键词：

production; control software; service oriented architecture; flexibility; adaptivity; agents; modularity;

D O I：

10.1016/j.procir.2018.03.189

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The expansion of patient derived stem cells requires adaptive processing protocols that consider the growth behavior. In order to minimize human errors and enhance reproducibility, the industry moves towards automated platforms. This bears several challenges for a control software, such as coping with non-deterministic processes and the prevalent heterogeneity of device interfaces. We have developed a service -oriented approach to meet the demand for flexibility while at the same time giving maximum control over data and devices. Hardware modules are integrated via agents into the control software following a plug and-produce approach. This generic software is also easily adaptable for other applications. (C) 2018 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 51st CIRP Conference on Manufacturing Systems.

引用

页码：1245 / 1250

页数：6

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