Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)

Application and Analysis of GOOSE Protocol in Industrial Process Controller

Authors
Honghai Niu, Jun Chen, Liu Liu
Corresponding Author
Honghai Niu
Available Online June 2017.
DOI
10.2991/caai-17.2017.17How to use a DOI?
Keywords
GOOSE; Basic Encoding Rules; ASN.1; Industrial Process Controller; Real-time and Reliability
Abstract

In application of industrial process control, more and more equipment & devices are integrated, and then data transmission encounters a serious bottleneck. Reliable & rapid data transmission between industrial process controllers & IO units becomes very urgent. Many schemes have been presented to solve this problem, but each of them has its own shortcomings. In this paper, a new scheme based on GOOSE (Generic Object Oriented Substation Event) is designed to promote data transfer rate & system reliability. Moreover, mass data transmission can also be completed, and messages with the length up to 1518 bytes are acceptable. This scheme has been applied in many projects and proven effective.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
June 2017
ISBN
10.2991/caai-17.2017.17
ISSN
1951-6851
DOI
10.2991/caai-17.2017.17How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Honghai Niu
AU  - Jun Chen
AU  - Liu Liu
PY  - 2017/06
DA  - 2017/06
TI  - Application and Analysis of GOOSE Protocol in Industrial Process Controller
BT  - Proceedings of the 2017 2nd International Conference on Control, Automation and Artificial Intelligence (CAAI 2017)
PB  - Atlantis Press
SP  - 85
EP  - 88
SN  - 1951-6851
UR  - https://doi.org/10.2991/caai-17.2017.17
DO  - 10.2991/caai-17.2017.17
ID  - Niu2017/06
ER  -