北京测绘2026，Vol.40Issue(1)：10-15,6.DOI:10.19580/j.cnki.1007-3000.2026.01.002
矿区环境GNSS观测数据质量分析
Quality analysis of GNSS observation data in mining environment
摘要
Abstract
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.关键词
全球导航卫星系统(GNSS)/观测质量分析/格式转换、编辑与质量检查(TEQC)/数据预处理软件Anubis/可视化分析Key words
global navigation satellite system(GNSS)/observation data quality analysis/translation,editing and quality checking(TEQC)/data preprocessing software Anubis/visual分类
天文与地球科学引用本文复制引用
马吉强,林盈盈,张爱华,李博研,杨旭..矿区环境GNSS观测数据质量分析[J].北京测绘,2026,40(1):10-15,6.基金项目
矿山地质灾害防治安徽省高校重点实验室开放基金(2022-MGDP-08) （2022-MGDP-08）
国家自然科学基金(42304050) （42304050）
矿山采动灾害空天地协同监测与预警安徽普通高校重点实验室(安徽理工大学)开放基金(KLAHEI202204). （安徽理工大学）
