Paper
20 January 2025 Research on key technologies for block data governance in smart cities
Songtao Zhang, Lina Yang, Huawei Yang
Author Affiliations +
Proceedings Volume 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024); 134222V (2025) https://doi.org/10.1117/12.3050799
Event: Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 2024, Xi'an, China
Abstract
As the construction of smart cities deepens and local data platforms become increasingly sophisticated, a large amount of urban data is gathered and integrated, effectively promoting the joint construction and sharing of urban data. However, the issue of a lack of correlation between cross-domain data still exists, making it difficult to provide highly integrated and correlated data services for the construction of urban intelligence. Based on the multi-source spatiotemporal data after governance on the smart city integration platform, this paper proposes a spatial correlation method based on StreamSets task flows to achieve the correlation of urban multi-source data with spatial objects. The application practice results show that this method is conducive to providing city decision-makers with correlated data and information services for urban objects quickly.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Songtao Zhang, Lina Yang, and Huawei Yang "Research on key technologies for block data governance in smart cities", Proc. SPIE 13422, Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), 134222V (20 January 2025); https://doi.org/10.1117/12.3050799
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KEYWORDS
Data integration

Data storage

Databases

Data processing

Geographic information systems

Information fusion

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