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首页> 外文会议>IFIP TC 5/SIG 5.1 conference on computer and computing technologies in agriculture;CCTA 2011 >A Data Acquisition System Based on Outlier Detection Method for Weighing Lysimeters
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A Data Acquisition System Based on Outlier Detection Method for Weighing Lysimeters

机译：基于异常检测方法的称重测力计数据采集系统

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The weighing lysimeters provide scientist the basic information for research related to the evapotranspiration, high quality of the collected data from lysimeters is of great significance. However there are many factors that can affect the measurement accuracy of the weighing lysimeter. In this paper, a data acquisition system was developed to collect the data from 24 weighing lysimeters. The calibration process of the load cell was described. An outlier detection method based on the 3-sigma rule and the median filter was proposed to improve the measurement accuracy of the weighing lysimeters. The performance of the proposed method was compared with the method based on Savitzky-Golay filter. Results show that the standard deviations of the 15-point median filter and the 15-point Savitzky-Golay filter applied to the 283 data points were 0.413Kg and 0.422Kg respectively, which means that the performance of the median filter was better than the Savitzky-Golay filter. Moreover the outliers were successfully eliminated using the median filter and were not removed by the Savitzky-Golay filter.
机译：称重式测渗仪为科学家提供了与蒸散有关的基础信息，从测渗仪收集的高质量数据具有重要意义。但是，有许多因素会影响称重测渗仪的测量精度。在本文中，开发了一种数据采集系统来收集来自24个称重测力计的数据。描述了称重传感器的校准过程。提出了一种基于3-sigma规则和中值滤波的离群值检测方法，以提高称重测力计的测量精度。将所提方法的性能与基于Savitzky-Golay滤波器的方法进行了比较。结果表明，应用于283个数据点的15点中值滤波器和15点Savitzky-Golay滤波器的标准偏差分别为0.413Kg和0.422Kg，这意味着中值滤波器的性能优于Savitzky -Golay过滤器。此外，使用中值滤波器已成功消除了异常值，而Savitzky-Golay滤波器并未将其消除。

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