GNSS静态数据批量预处理方法研究及实现

Research and implementation of GNSS static data batch preprocessing method

GNSS静态数据预处理是GNSS静态测量数据处理的重要一环,现阶段的GNSS静态数据预处理方法以人工干预为主,自动化程度较低,数据处理的效率和准确率均有待提高。为解决上述问题,提出了一套GNSS静态数据自动化预处理方法,并基于Python语言开发静态数据预处理软件,完成了GNSS静态数据检查、RENIX数据归类、RENIX数据改正、静态数据质量报表输出等功能。长江水利委员会大江大河水文监测系统建设工程实践表明:使用该软件后,大幅提高了静态数据预处理效率,明显降低了内业人员的劳动强度,且有效保证了成果质量。

GNSS static data preprocessing plays an important role in GNSS static measurement data processing.The current GNSS static data preprocessing method is mainly through manual intervention,which is low in automation de⁃gree,and the efficiency and accuracy of data processing need to be improved.In order to solve the above problems,an automatic preprocessing method for GNSS static data is proposed and static data preprocessing software based on the Python platform is developed,which can realize the functions of GNSS static data inspection,RENIX data classi⁃fication,RENIX data correction,static data quality report output etc.The practice of Changjiang Water Resources Committee hydrological monitoring system for large rivers has shown that with the help of this program,the efficien⁃cy of static data preprocessing has been greatly improved,the labor intensity of the staff is significantly reduced,and the quality of the results is guaranteed.