Research and Practice of Causal Relationship Model and Intelligent Prediction Technology in the Backbone Optical Cable Transmission Network of Radio and Television
Based on a novel causal relationship model and complex network theory,this paper establishes the causal relationships and topological structure of optical links in the provincial-level broadcasting and television backbone network.It focuses on extensive model training using historical data from the backbone network's optical links,extracting features from the optical link data,and proposes a trend prediction technology for optical links.Through simulation testing and deployment in the province's backbone network digitalized comprehensive operation and maintenance platform,the causal relationship model and artificial intelligence technologies have proven to be effective in handling time-series big data scenarios for backbone network optical links,significantly enhancing the operational efficiency and warning capabilities of the backbone network,and demonstrating high potential for widespread application.
Smart broadcasting and televisionOptical linkSliding windowArtificial intelligenceLong short term memory
NETL
NSTL
万方数据
