An Open-source Toolkit for Retrofit Industry 4.0 Sensing and Monitoring Applications

被引:0
作者
Nsiah, Kofi Atta [1 ,2 ]
Schappacher, Manuel [1 ]
Rathfelder, Christoph [2 ]
Sikora, Axel [1 ,2 ]
Groza, Voicu [3 ]
机构
[1] Offenburg Univ Appl Sci, Inst Reliable Embedded Syst & Commun Elect ivESK, D-77652 Offenburg, Germany
[2] Hahn Schickard Assoc Appl Res EV, D-78052 Villinggen Schwenningen, Germany
[3] Univ Ottawa, Sch Informat Technol & Engn, Ottawa, ON K1N 6N5, Canada
来源
2018 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC): DISCOVERING NEW HORIZONS IN INSTRUMENTATION AND MEASUREMENT | 2018年
关键词
Industry; 4.0; toolkit; retrofit; OPC UA; sensing; monitoring; application;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The last several years have witnessed a paradigm shift in industry that has now ushered in the fourth industrial revolution era also referred to as Industry 4.0. This new technology promises major improvements in the industrial processes by connecting local and global networks for information exchange amongst smart machinery while integrating possibly all stages of the value chain. However, small and medium-sized enterprises (SMEs) still have many concerns about Industry 4.0 and about its potential benefits. This is generally as a result of high investment and conversion costs. An evaluation platform to test Industry 4.0 applications for enabling engineers and managers in identifying the potential benefits before making expensive decisions is attractive. With this aim, the authors present an extensible and customizable open source toolkit for the evaluation of Industry 4.0 applications by providing a complete set of capabilities from sensing of data at the shop floor to monitoring at the upper level of the enterprise.
引用
收藏
页码:400 / 405
页数:6
相关论文
共 49 条
[41]   Fledge or fail: Nest monitoring of endangered black-cockatoos using bioacoustics and open-source call recognition [J].
Teixeira, Daniella ;
Linke, Simon ;
Hill, Richard ;
Maron, Martine ;
Rensburg, J. Berndt van .
ECOLOGICAL INFORMATICS, 2022, 69
[42]   Image-Based Monitoring of Cracks: Effectiveness Analysis of an Open-Source Machine Learning-Assisted Procedure [J].
Parente, Luigi ;
Falvo, Eugenia ;
Castagnetti, Cristina ;
Grassi, Francesca ;
Mancini, Francesco ;
Rossi, Paolo ;
Capra, Alessandro .
JOURNAL OF IMAGING, 2022, 8 (02)
[43]   A low-cost, open-source autonomous surface vehicle as a multipurpose waste stabilization pond monitoring platform [J].
Cuppens, A. ;
Menesse, G. ;
Caligaris, E. ;
Marecos, O. ;
Wyseure, G. .
JOURNAL OF WATER SANITATION AND HYGIENE FOR DEVELOPMENT, 2019, 9 (01) :172-180
[44]   Open-source IoT monitoring system of a shallow geothermal system for heating and cooling year-round in Korea [J].
Park, Chan-Hee ;
Shim, Byoung Ohan ;
Park, Jung-Wook .
ENERGY, 2022, 250
[45]   Bridging the Gap between Academia and Industry through Students' Contributions to the FIWARE European Open-Source Initiative: A Pilot Study [J].
Conde, Javier ;
Lopez-Pernas, Sonsoles ;
Pozo, Alejandro ;
Munoz-Arcentales, Andres ;
Huecas, Gabriel ;
Alonso, Alvaro .
ELECTRONICS, 2021, 10 (13)
[46]   Integration of Open Source Arduino with LabVIEW-based SCADA through OPC for Application in Industry 4.0 and Smart Grid Scenarios [J].
Gonzalez Perez, Isaias ;
Calderon Godoy, A. Jose ;
Calderon Godoy, Manuel .
ICINCO: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL 2, 2019, :174-180
[47]   Online monitoring of structural materials integrity in process industry for I4.0: A focus on material loss through erosion and corrosion sensing [J].
Meribout, Mahmoud ;
Mekid, Samir ;
Kharoua, Nabil ;
Khezzar, Lyes .
MEASUREMENT, 2021, 176
[48]   eGreenhouse: Robotically positioned, low-cost, open-source CO2 analyzer and sensor device for greenhouse applications [J].
Levintal, Elad ;
Kang, Kenneth Lee ;
Larson, Lars ;
Winkelman, Eli ;
Nackley, Lloyd ;
Weisbrod, Noam ;
Selker, John S. ;
Udell, Chester J. .
HARDWAREX, 2021, 9
[49]   A multi-channel distributed routing scheme for smart grid real-time critical event monitoring applications in the perspective of Industry 4.0 [J].
Faheem, Muhammad ;
Butt, Rizwan Aslam ;
Raza, Basit ;
Ashraf, Muhammad Waqar ;
Ngadi, Md A. ;
Gungor, Vehbi Cagri .
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, 2019, 32 (04) :236-256