Optical Power Prediction Method Based on Double Pooling Multilayer Perception

Abstract

Objective In response to the situation where historical optical power data in metro communication systems is missing despite the sufficient historical related data, an optical power prediction method based on double pooling multilayer perceptron model is proposed. Method The structure and prediction principles of the multilayer perceptron model and the double pooling multilayer perceptron model are introduced. Based on detection data from the Chengdu Metro communication system, experimental comparative analysis is conducted on the prediction results of different models, as well as the prediction results of the double pooling multilayer perceptron model under different variables. Result & Conclusion The double pooling multilayer perceptron model demonstrates good prediction accuracy. In facing the variability of environmental information and the repetitiveness of time sequence information, the model can utilize maximized-pooling (Maxpooling) and average-pooling (Avgpooling) separately for feature extraction, effectively predicting input optical power with data information. The model fully considers the relevant influencing factors on the input optical power of metro communication system and the characteristics of data mutation, effectively addressing the problem of frequent and unpredictable optical power fluctuations.

Keywords

• metro
• communication system
• optical power prediction
• double pooling
• multilayer perceptron