Cong Huo

Jilin Vocational College of Industry and Technology

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Trends

Author Order

Document Type

Co-Authors

Peng Ren

Shenyang University

Wanchang Jiang

Northeast Electric Power University

Shengda Wang

Huzhou Vocational and Technical College

He Chen

Chinese University of Hong Kong

Wang Sheng-da

China Guodian Corporation (China)

He Chen

Centrum für Integrierte Onkologie

Meng Xu

Victoria University of Wellington

Cooperative Institutions

Chinese Academy of Sciences

Dalian University of Technology

Northeast Electric Power University

Huzhou Vocational and Technical College

State Key Laboratory of Polymer Physics and Chemistry

Changchun Institute of Applied Chemistry

Collaborative Innovation Center of Chemistry for Energy Materials

University of Science and Technology of China

State Grid Corporation of China (China)

Institute of Urban Environment

Author Statistics

Papers

Citation

H-Index

i-10 index

Research Field

Two Modes Power Optical Fiber Network Monitoring with Protective Optical Path and Fault Self-Recovery

IOP Conference Series Materials Science and Engineering (2018)

Wanchang Jiang Cong Huo Meng Xu Peng Ren Shengda Wang

The optical fiber communication network of city power system has the characteristics of dense network, complex laying environment, and the interruption of communication is high cost. Two modes optical fiber network monitoring solution with protective optical path and fault self-recovery is discussed to ensure the reliable work of the optical fiber network. For optical fiber line that lacks core resource, the monitoring mode with protective optical path and fault self-recovery is designed to monitor working core, and the problem of waste fiber core and interruption of working core can be solved. For optical line that plenty of core resource, the monitoring mode is designed to monitor non-working core. The monitoring mode switch method is proposed, and each optical fiber can select one mode independently to adapt different demands. An optical power prediction model is proposed based on an improved Elman neural network. As result, scientific maintenance plan can be made in terms of trend analysis of optical fiber line to reduce maintenance cost. Finally, using experimental core and real optical fiber line in power system, the testing result of the monitoring solution is analyzed to illustrate the effect of the solution.

Optical path

Optical cross-connect

Optical power

10.1088/1757-899x/439/5/052002

Cite

Citations (1)

On-Line Detecting Instrument of Multiple Working Modes for Optical Fiber Lines of Power System.

International Conference on Software and Data Technologies (2018)

Wanchang Jiang Cong Huo Peng Ren Wang Sheng-da He Chen

Line (geometry)

Source

Cite

Citations (0)