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Fast mileage deviation correction method for track dynamic inspection system based on data fusion technology

机译:基于数据融合技术的轨道动态检测系统快速的里程偏差校正方法

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A new mileage deviation correction method for track dynamic inspection data of high-speed comprehensive inspection train using data fusion technology was proposed and investigated to improve the accuracy of mileage information and the efficiency of deviation correction method. The mileage deviation of track geometric inspection data was corrected using inspected curvature information combined with actual mileage and curvature information. The mileage deviation of axle box acceleration inspection data was corrected using mileage-corrected track geometric inspection data combined with uncorrected velocity information of axle box acceleration inspection data. A 5-points iteration method was proposed and investigated to improve the computational efficiency of mileage deviation correction. Computational and analytic result of measured data demonstrated that 5-points iteration method not only ensured the accuracy of mileage deviation correction, but also significantly saved the computation time for over 80%. Field verifying of actual wave corrugation case indicated that the corrected mileage information of track dynamic inspection data was very close to the actual information, the error being less than 10 m.
机译:提出了一种新的里程偏差校正方法,用于使用数据融合技术进行高速综合检查列车动态检查数据的新里程偏差校正方法,提高了里程信息的准确性和偏差校正方法的效率。校正轨道几何检测数据的里程偏差使用经过检查的曲率信息与实际里程和曲率信息相结合。轴箱加速检查数据的里程偏差使用里程校正的轨道几何检测数据进行了校正,结合了轴箱加速检查数据的未纠正速度信息。提出并研究了5分的迭代方法,提高里程偏差校正的计算效率。测量数据的计算和分析结果表明,5分迭代方法不仅确保了里程偏差校正的准确性,而且显着保存了超过80%的计算时间。实地验证实际波振荡案例表明,轨道动态检测数据的校正里程信息非常接近实际信息,错误小于10米。

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