The Noise Recognition For Train Vibration In Earthquake Early Warning Of High-speed Railway

Earthquake early warning(EEW) system is one of the method to reduce the earthquake disaster which has attracted much attention in recent years. Although the probability of earthquake occurrence is small, but it is very destructive,and relatively,China is one of the country which is troubled with serious earthquake disaster, so the high speed railways are hungry for earthquake early warning(EEW) system. As the earthquake monitoring station along the high speed railways will be affected by a variety of noises in routine surveillance, it is very important to accurately distinguish noise and seismic signal in high speed railways earthquake early warning(EEW) system.Aiming at the character that the earthquake monitoring stations along the high-speed railways may be deeply influenced by train vibration, as to improve the reliability and accuracy of the warning system, comparison and analysis of amplitude and frequency characteristics of the two kinds of signals are taken based on the train vibration data of Jinshiwu railways and the seismic data of China. On the basis of that, the research mainly focus on the vibration and noise identification and discrimination and the influence of train vibration to seismic wave P picked up. An overview of the research is as follows:1. Using the binary real time data recorded by the earthquake monitoring stations along the Jingshiwu high iron, based on establishing a database on the reduction, and the algorithm for the decryption transform data into data of ASC Ⅱ yards. Combining with China’s strong motion observation data, the two kinds of signal amplitude characteristics(maximum acceleration PGA, vertical and horizontal to the amplitude ratio V/H, the amplitude growth rate B) and frequency characteristics(frequency, corresponding response spectrum amplitude frequency, , bandwidth ratio Rud) is analyzed and compared.2. On the analysis of the contrast, on the basis of two kinds of signal amplitude frequency characteristics, based on various characteristic parameters of amplitude and frequency, single and double parameters is studied to distinguish the train vibration noise and seismic signal method, the results indicate that using log ?log as the train vibration elimination index can get the best recognition effect.3. The researchon the influence of the train vibration on the earthquake P wave pickup has been taken, by compared the result of undo,low pass 5Hz filtering processing and the measure of using log ? log as the Index, we find that the last method performed best.