摘要
针对时空大数据多来源、多粒度、多模态、海量和时空关联复杂等特点,建立了一套涵盖"源数据获取-数据质量评估-数据清洗-数据转换"全过程的多源异构数据时空融合的技术路线,重点研究了多源异构数据汇集和时空数据融合技术,建立了相关的技术体系和软件工具,结合重庆市新型智慧城市实践开展了诸多应用,可为智慧城市、智慧园区等建设提供可行的技术参考。
Aiming at the characteristics of multi-source, multi-granularity, multi-modality, massive and complex spatio-temporal correlations of spatiotemporal big data, we established a set of technology route for the multi-source heterogeneous data spatio-temporal fusion covering the whole process of "multisource data acquisition, data quality evaluation, data cleaning, data conversion". Then, we studied the multi-source heterogeneous data collection and spatiotemporal data fusion technology, established related technical systems and software achievements, and carried out many applications in conjunction with the practice of Chongqing’s new Smart City. This study can provide feasible technical references for the construction of Smart City and Smart Parks.
出处
《地理空间信息》
2021年第10期19-21,25,I0001,共5页
Geospatial Information
关键词
多源异构数据
时空融合
智慧城市
multi-source heterogeneous data
spatio-temporal fusion
Smart City
