Service-oriented data acquisition and management for industrial cyber-physical systems

Wenbin Dai; Zhijie Zhang; Peng Wang; Valeriy Vyatkin; James H. Christensen

doi:10.1109/INDIN.2017.8104867

Service-oriented data acquisition and management for industrial cyber-physical systems

Wenbin Dai, Zhijie Zhang, Peng Wang, Valeriy Vyatkin, James H. Christensen

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

Abstract

With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems from enterprise level to sensor level. In this paper, a RESTful service-oriented architecture is proposed for industrial controllers. By adopting RESTful services over HTTP methods, better efficiency for data acquisition from sensors, actuators, and controllers is achieved. In addition, service-oriented device management for industrial controllers is also implemented along with data acquisition. The reference architecture experiments on a car manufacturing demonstration line.

Original language	English
Title of host publication	Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017
Publisher	IEEE
Pages	759-764
Number of pages	6
ISBN (Electronic)	978-1-5386-0837-1
DOIs	https://doi.org/10.1109/INDIN.2017.8104867
Publication status	Published - 13 Nov 2017
MoE publication type	A4 Article in a conference publication
Event	IEEE International Conference on Industrial Informatics - Emden, Germany Duration: 24 Jul 2017 → 26 Jul 2017 Conference number: 15

Publication series

Name	IEEE International Conference on Industrial Informatics
Publisher	IEEE
ISSN (Print)	1935-4576
ISSN (Electronic)	2378-363X

Conference

Conference	IEEE International Conference on Industrial Informatics
Abbreviated title	INDIN
Country	Germany
City	Emden
Period	24/07/2017 → 26/07/2017

Access to Document

10.1109/INDIN.2017.8104867

Fingerprint Dive into the research topics of 'Service-oriented data acquisition and management for industrial cyber-physical systems'. Together they form a unique fingerprint.

Cite this

Dai, W., Zhang, Z., Wang, P., Vyatkin, V., & Christensen, J. H. (2017). Service-oriented data acquisition and management for industrial cyber-physical systems. In Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017 (pp. 759-764). [8104867] (IEEE International Conference on Industrial Informatics). IEEE. https://doi.org/10.1109/INDIN.2017.8104867

@inproceedings{73b6f28e20074a3fa24cf99fdea3cbfe,

title = "Service-oriented data acquisition and management for industrial cyber-physical systems",

abstract = "With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems from enterprise level to sensor level. In this paper, a RESTful service-oriented architecture is proposed for industrial controllers. By adopting RESTful services over HTTP methods, better efficiency for data acquisition from sensors, actuators, and controllers is achieved. In addition, service-oriented device management for industrial controllers is also implemented along with data acquisition. The reference architecture experiments on a car manufacturing demonstration line.",

author = "Wenbin Dai and Zhijie Zhang and Peng Wang and Valeriy Vyatkin and Christensen, {James H.}",

year = "2017",

month = nov,

day = "13",

doi = "10.1109/INDIN.2017.8104867",

language = "English",

series = "IEEE International Conference on Industrial Informatics",

publisher = "IEEE",

pages = "759--764",

booktitle = "Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017",

address = "United States",

note = "IEEE International Conference on Industrial Informatics, INDIN ; Conference date: 24-07-2017 Through 26-07-2017",

}

Dai, W, Zhang, Z, Wang, P, Vyatkin, V & Christensen, JH 2017, Service-oriented data acquisition and management for industrial cyber-physical systems. in Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017 ., 8104867, IEEE International Conference on Industrial Informatics, IEEE, pp. 759-764, IEEE International Conference on Industrial Informatics, Emden, Germany, 24/07/2017. https://doi.org/10.1109/INDIN.2017.8104867

Service-oriented data acquisition and management for industrial cyber-physical systems. / Dai, Wenbin; Zhang, Zhijie; Wang, Peng; Vyatkin, Valeriy; Christensen, James H.

Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017 . IEEE, 2017. p. 759-764 8104867 (IEEE International Conference on Industrial Informatics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Service-oriented data acquisition and management for industrial cyber-physical systems

AU - Dai, Wenbin

AU - Zhang, Zhijie

AU - Wang, Peng

AU - Vyatkin, Valeriy

AU - Christensen, James H.

N1 - Conference code: 15

PY - 2017/11/13

Y1 - 2017/11/13

N2 - With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems from enterprise level to sensor level. In this paper, a RESTful service-oriented architecture is proposed for industrial controllers. By adopting RESTful services over HTTP methods, better efficiency for data acquisition from sensors, actuators, and controllers is achieved. In addition, service-oriented device management for industrial controllers is also implemented along with data acquisition. The reference architecture experiments on a car manufacturing demonstration line.

AB - With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems from enterprise level to sensor level. In this paper, a RESTful service-oriented architecture is proposed for industrial controllers. By adopting RESTful services over HTTP methods, better efficiency for data acquisition from sensors, actuators, and controllers is achieved. In addition, service-oriented device management for industrial controllers is also implemented along with data acquisition. The reference architecture experiments on a car manufacturing demonstration line.

U2 - 10.1109/INDIN.2017.8104867

DO - 10.1109/INDIN.2017.8104867

M3 - Conference contribution

T3 - IEEE International Conference on Industrial Informatics

SP - 759

EP - 764

BT - Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017

PB - IEEE

T2 - IEEE International Conference on Industrial Informatics

Y2 - 24 July 2017 through 26 July 2017

ER -

Dai W, Zhang Z, Wang P, Vyatkin V, Christensen JH. Service-oriented data acquisition and management for industrial cyber-physical systems. In Proceedings of the 15th IEEE International Conference on Industrial Informatics, INDIN 2017 . IEEE. 2017. p. 759-764. 8104867. (IEEE International Conference on Industrial Informatics). https://doi.org/10.1109/INDIN.2017.8104867