Research And Development Of High-speed Railway Comfort Monitoring Instrument

With the increasingly fierce competition in the transportation market and the improvement of people’s quality of life,people are increasingly demanding the comfort of train operation.Therefore,the research on how to accurately detect the comfort change of the train in the process of operation and give quantitative standards to judge its advantages and disadvantages,which is helpful to optimize the automatic driving curve and ensure the comfort of the train.However,at present,most of the related instruments have the problems of low accuracy,too bulky,unable to quantify data,etc.,which have not been widely promoted.In response to the above problems,this paper proposes a new monitoring instrument.The specific research contents are as follows:(1)This article takes train comfort as the research object.Based on the study of its theories and factors,it constructs an evaluation model based on the multi-level weight analysis decision method and determines that the most important factor is ride comfort.Based on the summary of the previous comfort evaluation standards,the acceleration and its change rate are determined as the main parameters for monitoring,and combined with the current high-speed train characteristics,seven kinds of automatic driving strategies are set up.By dividing the comfort threshold of different driving strategies,the current comfort model is optimized.(2)According to the model,this paper adopts multi-sensor fusion and programmed control technology,designs a new type of monitoring instrument based on embedded system,which is composed of accelerometer,temperature and humidity module,STM development board,touch screen,CPU board and other high-precision modules,and realizes data acquisition,display,storage and intelligent control.Not only can it accurately monitor the acceleration changes,but also analyze the reasons behind it.(3)For the errors generated when the train crosses the slope,based on the analysis of the train operation model,this paper proposes to study the instrument error angle and line slope when placing it separately.After simplification,the dynamic equation of the actual train running slope error is given and the error is corrected by real-time feedback compensation of the original data.Finally,the rationality of the algorithm is verified by simulation.(4)Aiming at the vehicle body vibration and noise due to track irregularity,this paper designs a corresponding digital filter based on the analysis based on field data and constructs a corresponding Kalman filter algorithm according to the high-speed train operation model.By comparing with the moving average filtering algorithm,the acceleration signal and vibration signal are successfully stripped,which improves the rationality of the evaluation standard.(5)Firstly,the instrument proposed in this paper is tested in laboratory and outdoor to ensure its function can be used normally.Then,according to the requirements of this test,a reasonable field test point is determined.Finally,combined with the field application and operation result analysis,the rationality of the optimized model is further verified and the design performance index of the instrument is proved to meet the field requirements.Based on the project of China Academy of Railway Sciences and the embedded system,this paper designs the real-time monitoring equipment of train impulse condition,develops a new embedded comfort monitoring system and analyzes the longitudinal impulse theoretically.Through the digital analysis and processing of acceleration signal,it constructs a set of reasonable comfort evaluation standard.With 42 pictures,24 tables and 52 references literatures.