Railway Signal Monitoring System Based on Neural Network

Railway signal system is the core facility to ensure the safe and orderly operation of trains, and its accurate monitoring is the key link to ensure the reliability of railway transportation. In order to improve the accuracy and efficiency of railway signal monitoring, this study uses neural network technology to monitor and analyze railway signals in real time. By constructing a suitable neural network model, the complex railway signal data can be automatically identified and processed, and the signal state can be accurately judged. Experimental results show that this method can not only improve the accuracy of monitoring, but also effectively reduce the false alarm and missing alarm, which provides a strong guarantee for the safe operation of railway.