CAJ | 학술논문

列车的测速定位是提高列车运行安全及运输效率的关键技术。为此，根据国内外研究发展现状，提出一种基于嵌入式多传感器信息融合的列车测速定位系统。通过轮轴速度传感器、多普勒雷达速度传感器、加速度计和查询应答器采集列车的状态信息，并在嵌入式系统中利用联邦 Kalman 滤波及融合技术对信息进行处理，实现测速轮径的自适应校正以及空转/滑行的检测与补偿，减小由于车轮磨损、空转、滑行、环境等因素造成的列车测速定位误差。Matlab 仿真结果表明，该系统能够有效提高列车测速定位的精度。
열차적측속정위시제고열차운행안전급운수효솔적관건기술。위차，근거국내외연구발전현상，제출일충기우감입식다전감기신식융합적열차측속정위계통。통과륜축속도전감기、다보륵뢰체속도전감기、가속도계화사순응답기채집열차적상태신식，병재감입식계통중이용련방 Kalman 려파급융합기술대신식진행처리，실현측속륜경적자괄응교정이급공전/활행적검측여보상，감소유우차륜마손、공전、활행、배경등인소조성적열차측속정위오차。Matlab 방진결과표명，해계통능구유효제고열차측속정위적정도。
Train speed detection and positioning are key technologies for improving the safety and efficiency of train operation. According to the domestic and foreign research in this field, a train detection and positioning system is designed based on embedded processor and multi-sensor information fusion. An axle speed sensor, a Doppler radar speed sensor, an acceleration sensor and query bails are employed to collect train status information. Federal Kalman filtering and the multi-sensor information fusion method are used to process these information in an embedded system. Problem of errors caused by train wheel diameter wearing, idling, sliding and other factors in tradition system is solved. Simulation results in Matlab show that the system can effectively improve the precision of train speed detection and positioning.