基于PSO-BP神经网络的硅基光子器件光损耗异常监测系统OA

The optical loss of silicon-based photonic devices is affected by various operating parameters,which causes the deviations or omissions to occur in the monitoring of abnormal optical loss.In order to comprehensively consider the influence of operating parameters and achieve accurate monitoring of optical loss anomalies,a silicon-based photonic device optical loss anomaly monitoring system based on PSO-BP neural network is designed.The data acquisition module of the system is used to collect various operating parameters such as wavelength and temperature of silicon-based photonic devices in real time.After processing by the data preprocessing module,they are input into the optical loss detection module with PSO-BP neural network as the core,thereby obtaining optical loss detection values under various operating parameters.The abnormal monitoring and warning module can be used to compare the obtained optical loss detection value with the set threshold to determine whether the optical loss is abnormal.If it is abnormal,a warning is issued.The user interaction module can present abnormal monitoring and warning information,completing the monitoring of abnormal optical loss in silicon-based photonic devices.The results show that the designed system can comprehensively monitor the abnormal optical loss of silicon-based photonic devices for different operating parameters such as wavelength,temperature,waveguide length,and output optical power,and effectively warn against various abnormal optical loss scenarios.