Application on Real-time Status Evaluation of SDH Optical Transmission Network Based on Big Data

In the power backbone communication network, the SDH optical transmission equipment generates a variety of alarm data, making it difficult to evaluate the real-time status of the transmission network effectively. Therefore, the paper uses the FP-Growth algorithm to mine association rules of SDH device alarm data collected in the management library. As for the power backbone communication network, based on its operational characteristics and maintenance needs, a corresponding real-time status evaluation index system can be constructed. Finally, the paper calculates the weights of each indicator based on the fuzzy analytic hierarchy process(F-AHP) and entropy method. The method proposed in the paper can determine the risk level and evaluate the real-time status of the optical transmission network accurately and effectively, and also ensure the stability of the power backbone communication network to full advantage.