Research On The Key Technology Of High Speed Rail Detection System

With the great development of China’s railway, high-speed railway and the growing popularity of the emu, the operation safety of the people on the train, speed and comfort higher and higher demands are proposed, and the quality is the basis of train operation, track how efficient maintenance and maintenance lines is the most concern of the railway works departments. Track inspection car is the use of advanced processing technique is efficient, reliable measurement and control technology and modern filtering track geometry parameters of dynamic test, and forms the effective transfinite report and track quality index, etc., provides guidance for the maintenance and maintenance lines.The ascension of railway speed, the original track inspection car can not meet the need. Especially the opening of the 380 km/h the beijing-shanghai passenger dedicated line. The demand of the ascension of the speed and speed detection of track inspection car puts forward a new challenge. Paper analyses the characteristics of high-speed integrated check-out car 0, advantages and disadvantages, and from the track inspection parameters principle, sums up the key technology in specific apply algorithms to independent research and development of track inspection car in the experiment, combined with the test line test and roadblocks beijing-shanghai line compared to verify the feasibility of the algorithm and system.In order to adapt to high speed rail detection, laser camera system must reach more than 450 frames/SEC throughput, and to have higher anti-jamming performance, the paper put forward and studied the kalman filter tracking algorithm to improve the system throughput and sliced statistical algorithms to improve the anti-jamming performance of rail profile. In order to adapt to high speed detection precision of over 120 m long wave irregularities, the paper designed a high-precision high-pass filter, to handle and long wave irregularities. In order to improve the detection accuracy, this paper puts forward that using binary orthogonal wavelet transform to analysis and remove the trend in the sensor signal and track inspection parameters.Through the way of simulation and circuit experiment, the feasibility of the proposed algorithm and the effectiveness of the system. Application 尗, gave the tracking filter algorithm, which greatly reduced the actual computation, sliced statistical algorithms from the Angle of statistical analysis of characteristics of rail outline, improves the robustness and anti-interference ability. Through computer simulation, optimization and testing precision high-pass filter ripple within 0.3%. Is demonstrated by the simulation data, using binary orthogonal wavelet transform on the edge to the unless the trend item of the stationary signal. Finally independent research and development of the system has reached the good condition, a variety of dynamic testing parameters reached the design target.