Closed-Loop Communication Maintenance Management Based on Early Warning Analysis

DOI

10.2991/icmmct-17.2017.293How to use a DOI?

Keywords

Communication Maintenance, Early Warning Analysis, Big Data, Closed-Loop Management

Abstract

Maintenance management is an extremely important part in the work of electric power communication net, it's the key to guaranty stable operation of the network. This paper proposed that communication maintenance management based on fault early-warning analysis, used big data technology, and combined with antecedent information, machine account information and business-use information of the communication network equipment. According to the hierarchical distribution of communication network resource occupation, we can comprehensive analysis the utilization of the resources by the fiber resources, multiple section resources and channel resources, and can get an early warning to the resources' use of communication equipment and communication optical cable in real-time, tighten up the closed-loop communication maintenance management, realize the " controllable, controllability, in control" to the risk, safety and quality of operation.

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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TY  - CONF
AU  - Gang-song Dong
PY  - 2017/04
DA  - 2017/04
TI  - Closed-Loop Communication Maintenance Management Based on Early Warning Analysis
BT  - Proceedings of the 2017 5th International Conference on Machinery, Materials and Computing Technology (ICMMCT 2017)
PB  - Atlantis Press
SP  - 1555
EP  - 1558
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-17.2017.293
DO  - 10.2991/icmmct-17.2017.293
ID  - Dong2017/04
ER  -