近年来,基于电网信息模型(grid information model,GIM)的信息管理研究增多,研究人员需要在地区或场地层面有效地可视化GIM模型对象,并对模型数据进行应用和管理,但GIM模型具有跨度大、精细度高的特点,计算机在可视化和应用GIM模型时容...近年来,基于电网信息模型(grid information model,GIM)的信息管理研究增多,研究人员需要在地区或场地层面有效地可视化GIM模型对象,并对模型数据进行应用和管理,但GIM模型具有跨度大、精细度高的特点,计算机在可视化和应用GIM模型时容易遇到性能瓶颈。为此,文章基于BIMBase技术提出一种轻量化GIM数据的方法,首先对GIM文件进行解析,并对参数化几何进行网格化处理;然后通过顶点属性保持的合并算法去除网格中的冗余数据;最后设计数据存储结构,将几何、材质和属性解耦存储。GIM模型数据轻量化完成后,对顶点合并、模型加载和解析性能进行比较,均取得了较好效果。展开更多
The global ionosphere maps(GIM)provided by the International GNSS Service(IGS)are extensively utilized for ionospheric morphology monitoring,scientific research,and practical application.Assessing the credibility of G...The global ionosphere maps(GIM)provided by the International GNSS Service(IGS)are extensively utilized for ionospheric morphology monitoring,scientific research,and practical application.Assessing the credibility of GIM products in data-sparse regions is of paramount importance.In this study,measurements from the Crustal Movement Observation Network of China(CMONOC)are leveraged to evaluate the suitability of IGS-GIM products over China region in 2013-2014.The indices of mean error(ME),root mean square error(RMSE),and normalized RMSE(NRMSE)are then utilized to quantify the accuracy of IGS-GIM products.Results revealed distinct local time and latitudinal dependencies in IGS-GIM errors,with substantially high errors at nighttime(NRMSE:39%)and above 40°latitude(NRMSE:49%).Seasonal differences also emerged,with larger equinoctial deviations(NRMSE:33.5%)compared with summer(20%).A preliminary analysis implied that the irregular assimilation of sparse IGS observations,compounded by China’s distinct geomagnetic topology,may manifest as error variations.These results suggest that modeling based solely on IGS-GIM observations engenders inadequate representations across China and that a thorough examination would proffer the necessary foundation for advancing regional total electron content(TEC)constructions.展开更多
文摘近年来,基于电网信息模型(grid information model,GIM)的信息管理研究增多,研究人员需要在地区或场地层面有效地可视化GIM模型对象,并对模型数据进行应用和管理,但GIM模型具有跨度大、精细度高的特点,计算机在可视化和应用GIM模型时容易遇到性能瓶颈。为此,文章基于BIMBase技术提出一种轻量化GIM数据的方法,首先对GIM文件进行解析,并对参数化几何进行网格化处理;然后通过顶点属性保持的合并算法去除网格中的冗余数据;最后设计数据存储结构,将几何、材质和属性解耦存储。GIM模型数据轻量化完成后,对顶点合并、模型加载和解析性能进行比较,均取得了较好效果。
基金the National Key R&D Program of China(Grant No.2022YFF0503702)the National Natural Science Foundation of China(Grant Nos.42074186,41831071,42004136,and 42274195)+1 种基金the Natural Science Foundation of Jiangsu Province(Grant No.BK20211036)the Specialized Research Fund for State Key Laboratories,and the University of Science and Technology of China Research Funds of the Double First-Class Initiative(Grant No.YD2080002013).
文摘The global ionosphere maps(GIM)provided by the International GNSS Service(IGS)are extensively utilized for ionospheric morphology monitoring,scientific research,and practical application.Assessing the credibility of GIM products in data-sparse regions is of paramount importance.In this study,measurements from the Crustal Movement Observation Network of China(CMONOC)are leveraged to evaluate the suitability of IGS-GIM products over China region in 2013-2014.The indices of mean error(ME),root mean square error(RMSE),and normalized RMSE(NRMSE)are then utilized to quantify the accuracy of IGS-GIM products.Results revealed distinct local time and latitudinal dependencies in IGS-GIM errors,with substantially high errors at nighttime(NRMSE:39%)and above 40°latitude(NRMSE:49%).Seasonal differences also emerged,with larger equinoctial deviations(NRMSE:33.5%)compared with summer(20%).A preliminary analysis implied that the irregular assimilation of sparse IGS observations,compounded by China’s distinct geomagnetic topology,may manifest as error variations.These results suggest that modeling based solely on IGS-GIM observations engenders inadequate representations across China and that a thorough examination would proffer the necessary foundation for advancing regional total electron content(TEC)constructions.
