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Research on the high-accuracy mileage statistics method based on the civil satellite data

机译:基于民用卫星数据的高精度里程统计方法研究

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For the current situation of the large error in civil satellite positioning data resulting in the calculation of smaller mileage by the polyline method than the actual mileage, a new method of mileage statistics has been proposed in this article. First, the original trajectory data are preprocessed to eliminate data errors. Second, based on the principle of shape approximation, it is preferred to implement the quadratic B-spline curve to accurately fit the mileage trajectory curve, comparing various curve fitting methods. Then, based on the trajectory curve control point data, the mileage statistics formula is derived, and the accurate mileage statistics method for non-precision satellite positioning signals is realized. Finally, the road test is carried out by using the photoelectric non-contact five-wheel instrument and GPS equipment. The polyline method and curve fitting method are used to generate contrastive curve and calculate the mileage, respectively. Taking photoelectric five-wheel data as the accurate mileage, the error analysis is carried out. The results show that the deviation between calculated and actual mileage values is less than 1%. Therefore, this method can meet the user’s requirements for fleet management.
机译:针对民用卫星定位数据存在较大误差,导致折线法计算的里程数小于实际里程数的问题,提出了一种新的里程统计方法。首先,对原始轨迹数据进行预处理以消除数据错误。其次,基于形状近似原理,最好通过比较各种曲线拟合方法来实现二次B样条曲线以精确拟合里程轨迹曲线。然后,基于轨迹曲线控制点数据,推导里程统计公式,实现了非精密卫星定位信号的准确里程统计方法。最后,使用光电非接触式五轮仪器和GPS设备进行路试。折线法和曲线拟合法分别用于生成对比曲线和计算里程。以光电五轮数据为准行驶里程,进行误差分析。结果表明,计算出的里程数与实际里程数之间的偏差小于1%。因此,这种方法可以满足用户对车队管理的要求。

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