Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society

Research on the Key Technology of Electric Power Safety Production Assessment and Early Warning

Authors
Yun Wu, Haojie Shu, Lishan Bao, Guannan Xu
Corresponding Author
Yun Wu
Available Online April 2016.
DOI
10.2991/emim-16.2016.302How to use a DOI?
Keywords
Electric power safety production; Data collection; Indicator system; Assessment model
Abstract

Electric power is the main energy of enterprise production and motivation of the social development. The reliable and safety power supply is quite significant to guarantee the continuity of enterprise production, improvement of the economic efficiency and other aspects of safety production . Currently, most electric power enterprises evaluate safety in terms of electric power production by manual ways. And it is hard to make an effective prediction of potential safety risk. To settle this problem, this paper constructs an integral index system of electric power production assessment and early warning of venture by using the data pre-processing method of combining multiple data resources collection and dynamic storage. The visualization of electric power safety production assessment and early warning will be realized. It is loaded with significance of ensuring electric power safety production, lowering the casualties and providing electric energy.

Copyright
© 2016, 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 6th International Conference on Electronic, Mechanical, Information and Management Society
Series
Advances in Computer Science Research
Publication Date
April 2016
ISBN
978-94-6252-176-6
ISSN
2352-538X
DOI
10.2991/emim-16.2016.302How to use a DOI?
Copyright
© 2016, 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  - Yun Wu
AU  - Haojie Shu
AU  - Lishan Bao
AU  - Guannan Xu
PY  - 2016/04
DA  - 2016/04
TI  - Research on the Key Technology of Electric Power Safety Production Assessment and Early Warning
BT  - Proceedings of the 6th International Conference on Electronic, Mechanical, Information and Management Society
PB  - Atlantis Press
SP  - 1489
EP  - 1493
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-16.2016.302
DO  - 10.2991/emim-16.2016.302
ID  - Wu2016/04
ER  -