A smart city security risk multi-source data fusion monitoring method and system
By standardizing and spatiotemporally aligning multi-source data in smart city security monitoring, and calculating uncertainty and conflict degree, the problem of heterogeneous data alignment and conflict handling in multi-source data fusion is solved, thereby improving the accuracy of security risk assessment.
CN122288367APending Publication Date: 2026-06-26JILIN XUNDA DIGITAL ECONOMY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- JILIN XUNDA DIGITAL ECONOMY CO LTD
- Filing Date
- 2026-03-13
- Publication Date
- 2026-06-26
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Figure CN122288367A_ABST
Abstract
This invention relates to the field of smart city safety monitoring technology, and discloses a method for multi-source data fusion monitoring of smart city safety risks. The method includes: collecting heterogeneous data from IoT sensor terminals, emergency management systems, citizen alarm platforms, and video surveillance analysis platforms, and encoding them into standardized event description records; performing spatiotemporal alignment within a unified spatial grid and time window framework; calculating uncertainty metrics for each data source based on data timeliness, completeness, and historical reliability; calculating inter-source conflict degree based on the degree of probability distribution overlap, and calculating fusion weights by combining uncertainty factors and conflict attenuation factors to obtain a fused safety state probability distribution; calculating a comprehensive risk score and outputting the safety monitoring results.
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