摘要
GIS具有空间定位特性,能很好地处理复杂的空间拓扑关系,并提供丰富的数据可视化展示方法,对海量数据有着极强的管理能力。因此,以成功应用到1.7亿m^(2)城市级供热中的智慧供热平台为例,详细介绍基于GIS数据融合模型在超大规模城市集中供热中的处理与应用;结合大数据技术Hadoop,介绍了基于分布式文件存储的海量数据存储方法与基于内存计算处理高并发、秒级数据处理方法;最后,介绍了边缘计算与云边协同,解决了边缘数据不准、容错率低、与云端协同效率低、调节滞后等问题。
GIS has spatial positioning characteristics,can handle complex spatial topological relationships.It can provide abundant data visualization display methods and has strong management capabilities for massive data.Taking the smart heating platform successfully applied to the 170 million m^(2)heating project for an example,we introduced the data integration,display and analysis methods of ultra-large-scale urban central heating based on the GIS-based data fusion model.Combining Hadoop in big data technology,we introduced the method of massive data storage based on distributed file storage and the method of high concurrency and second-level data processing based on memory computing.Finally,we introduced edge computing and cloud-side collaboration,which had solved the problems such as inaccurate data at the edge,low fault tolerance,low efficiency of collaboration with the cloud and lagging adjustments.
作者
李石磊
常晟
邵嘉兴
杨红千
LI Shilei;CHANG Cheng;SHAO Jiaxing;YANG Hongqian(Tongfang Energy-saving Engineering Technology Co.,Ltd.,Beijing 100000,China)
出处
《地理空间信息》
2023年第10期49-53,共5页
Geospatial Information
关键词
GIS
数据融合
分布式存储
内存计算
边缘计算
云边协同
GIS
data fusion
distributed storage
memory computing
edge computing
cloud edge collaboration
