矿区环境GNSS观测数据质量分析OA

With the continuous improvement of automation levels in mining operations,the mining environment has become increasingly complex.Numerous factors can adversely affect the measurement accuracy of the mining area's global naviga-tion satellite system(GNSS).Therefore,conducting quality analysis of the observation data obtained from GNSS measure-ments in the mining environment is critical.Using two GNSS data preprocessing software tools-translation,editing and qual-ity checking(TEQC)and Anubis(G-Nut/Anubis),the data quality of the BeiDou satellite navigation system(BDS)and global navigation satellite system(GLONASS)system observation data from five surface movement monitoring stations in a mining area were analyzed based on indicators such as data efficiency,multipath effect,and cycle-slip ratio.The experimen-tal results show that the quality check indicators calculated by both software tools are consistent,and the overall data quality is good.Compared to TEQC,Anubis offers powerful visualization capabilities,enabling visual analysis from aspects such as satellite constellation,signal bands,and observation data quality indicators.