Design Of Synthesis Comfortable Detector For Railway Passenger Car

Train as a traffic instrument,its safety and comfort are two most concerned problems for the people.With the full-scale acceleration of main railways in our country,these two ones are more remarkable.The evaluating parameters of security and comfort in UIC513＜passengers' vibrating comfort evaluation criteria inside the railway vehicle＞are vibrating accelerations in three dimension.But with the development of high-speed vehicle in the last years,the old evaluating criterion concering vibration only is no longer applicable in a high-speed and enclosed railway passenger car.Considering vibration,air pressure and noise,this article makes a gress to get an integrated comfort criterion.By the help of BP,RBF and fuzzy neural network algorthim,this designing trains and simulinks datas using nntool in MATLAB,and makes a comparison in order to get a suitable algorithm- BP neural network algorithm and the correlate coefficients.As for the train's intergrated comfort algorthim,this paper discusses the realization both in software and hardware.Consider using FFT transform and low-pass,band-pass filter in data preprocessing.In hardware,use DSP chip TMS320VC33 and 51 single-chip machine AT89S52 to achieve the task.DSP work out data preprocessing and comfort algorthim,and sing-chip machine cotrols data acquisition and PC-communication.Collected by sensors,signals stored in EPROM-AT24C256 after analog/digtal sampleing,then processed and calculated by DSP.At last,the result of synthesis comfort is displayed in the LCD screen.