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| 引用本文： | 周志易,杨志强,彭福凯.���ܴ���������ȫվ�Ƕ����������뽨ģ�о�[J].大地测量与地球动力学,2013,33(2):155-159. |
| 作者姓名： | 周志易 杨志强 彭福凯 |
| 作者单位： | 1. 长安大学地质工程与测绘学院,西安710054;合肥工业大学土木与水利工程学院,合肥230009 2. 长安大学地质工程与测绘学院,西安,710054 3. 合肥工业大学土木与水利工程学院,合肥,230009 |
| 摘 要： | ??????????з??????????????????????????????????????з??????ó????????????????????????????????????????????????У???????????????????????????±??????????????????????????????????????????о???????????????????????????????????????????ò?????????????????Box??Jenkins???????????????н????????????????????????????????????????????????????????????????????????????????? |
| 关 键 词： | ?????????????? ?????? ??????? ???????? ???? |
| 收稿时间： | 2012-07-23 |
ANALYSIS AND MODELING OF DIRECTIONAL ERROR OF MAGLEV GYRO TOTAL STATION |
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| Zhou Zhiyi,Yang Zhiqiang,Peng Fukai.ANALYSIS AND MODELING OF DIRECTIONAL ERROR OF MAGLEV GYRO TOTAL STATION[J].Journal of Geodesy and Geodynamics,2013,33(2):155-159. | |
| Authors: | Zhou Zhiyi Yang Zhiqiang Peng Fukai |
| Institution: | 1)School of Geology Engineering and Geomatics,Chang’an University,Xi’an 710054 2）School of Civil Engineering and Hydraulic,Hefei University of Technology,Hefei 230009 |
| Abstract: | Aim to determine the mathematical model of directional error data of maglev gyro total station. The time series processing method was used to analyze the initial current data of stator observed by the maglev total station, all data are used to calculate directional angle, which belong to unstable time series process. At different environmental conditions, the random sequence data showed a periodic, trend, conditional variance and singular value features. In this paper,the difference technique is used to extract the trend error and Box Jenkins method is used for modeling the stable stochastic process. According to the differential data characteristics, we can use the different model to predict the future monitoring values, to estimate and control the current data which used to calculate the directional angle, in order to improve the accuracy of directional angle. |
| Keywords: | maglev gyro total station error model time series data characteristics accuracy |
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