Research on Prediction of Optical Transmission Link Deterioration Using Artificial Intelligence
As network O&M requirements increase,traditional passive fault handling and manual inspection cannot meet the requirements.Therefore,AI-based proactive prevention methods are proposed.It firstly analyzes the limitations of traditional inspection methods.Then,a design idea of AI prediction of optical transmission link deterioration is proposed,which includes data collection,task management,AI prediction and risk presentation and reporting modules.The actual application results show that the accuracy of the AI regression algorithm in predicting KPIs reaches 96％,and the accuracy of predicting high risks is 75％,which shows the potential and improvement space of the AI technology in network O&M.The research results indicate that the AI technology can effectively identify slow-deterioration link risks that are difficult to detect in traditional inspection,improving the initiative and efficiency of network O&M.
万方数据
维普
