Predication method for electric power optical fiber communication optical power

Abstract

The invention discloses a predication method for electric power optical fiber communication optical power, relates to the technical field of optical fiber communication predication, and solves the problems that analysis and predication of a circuit state tendency cannot be achieved in the prior art and accordingly impending faults and the like cannot be avoided. According to the method, an improved particle swarm optimization algorithm is provided to optimize parameters in a predication model, so as to achieve a mixed predication based electric power optical fiber communication optical power predication method, accurately predicate a future state tendency of a circuit, predicate future possible faults of the circuit, make a maintenance strategy in advance, avoid fault generation and satisfy an optical fiber communication requirement for intermittent transmission. According to the predication method for the electric power optical fiber communication optical power, the parameters of the SVM model are optimized through the improved particle swarm optimization algorithm, the model not only has a quick operation convergence rate, but also has good predication accuracy and stability, a mixed predication model is adopted, respective advantages of every single predication model are effectively composited, mutual disadvantages are remedied, and improvement of the performance of the integral predication model is facilitated.

Description

technical field [0001] The invention relates to the technical field of optical fiber communication state prediction, in particular to a method for predicting optical power of electric optical fiber communication. Background technique [0002] In order to meet the needs of efficient, fast and reliable transmission of information in power systems, optical fiber communication networks have been widely used as backbone networks. Therefore, once the optical fiber line fails, the communication interruption caused will bring huge economic losses to enterprises and users. Since faults on optical fiber lines are inevitable, it is of great significance to predict possible optical fiber faults based on the status of existing optical fiber lines, and to do maintenance and management in advance, thereby avoiding faults and ensuring normal communication. [0003] Optical power data can fully characterize the working state of optical fiber lines, and is a time series data with nonlinear, ...

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Problems solved by technology

[0004] The present invention provides a method for predicting the optical power of electric optical fiber communication in order to solve the existing problems that the analysis and prediction of the line state trend cannot be realized, and the impending failure cannot be avoided.

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