基于双位置的磁悬浮陀螺异常数据检测  

The detection method of maglev gyroscope abnormal data based on the characteristics of two positioning

作　　者：石震[1] 杨志强[1] 马骥[1] 

机构地区：[1]长安大学地质工程与测绘学院,西安710054

出　　处：《测绘科学》2015年第10期102-105,109,共5页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41074006);国家测绘地理信息局重点实验室开放基金资助项目(KLM201207);中央高校基本科研业务费支持项目(310826151047)

摘　　要：针对磁悬浮陀螺全站仪在极端工作环境下受异常数据干扰的问题,该文提出了一种利用磁悬浮陀螺双位置采样数据特征进行异常数据检测、剔除的数据处理方法。采用回归分析的方法对理想工作状态下的磁悬浮陀螺双位置采样数据与陀螺寻北方位间的函数关系进行拟合分析;通过区间预测的方法明确了陀螺寻北信息中异常数据的检验标准,并依据该标准实现了对寻北观测值中粗差等异常数据信息的有效识别。工程实测数据的验证结果表明:该检验法可以有效地对磁悬浮陀螺寻北数据中的异常值信息进行分离,提高陀螺寻北定向精度。This paper discussed the problem that the maglev gyro total station which working under the extreme conditions will be disturbed by the abnormal data interference. Based on the maglev gyroscope two-position sampling data characteristics, the paper put forward a data processing method to detect and e- liminate maglev gyroscope abnormal data, and to adopt the method of regression analysis to fit the function relationship between maglev gyroscope sampling data and gyro north azimuth under the ideal condition. Furthermore, the paper determined the gyro north-seeking abnormal data inspection standards through the interval prediction method. According to related standard, it could effectively identified the gross error information of the observed value. Finally, the measured data verification results showed that the detection method could effectively separate the abnormal value of the maglev gyroscope north-seeking data, and improve gyro north-seeking orientation precision.

关 键 词：磁悬浮陀螺 双位置寻北 回归分析 区间预测 异常数据检测 

分 类 号：P204[天文地球—测绘科学与技术]