Alarm data generation method and device and electronic equipment
By extracting the characteristics of public safety monitoring data on the edge computing node, and through the central server for characteristic fusion and graph structure data processing, combined with the quantum search algorithm matching abnormal objects, solving the delay in data processing in public safety monitoring and uneven resource utilization in public safety monitoring. The problem has achieved high -efficiency and real -time abnormal behavior detection and prediction.
CN119356993APending Publication Date: 2025-01-24CHINA TELECOM CORP LTD
Patent Information
- Application Number
- CN202411419620.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-11
- Publication Date
- 2025-01-24
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Figure CN119356993A_ABST
Abstract
The invention discloses an alarm data generation method and device and electronic equipment, and the method is applied to the field of public safety protection, and the method comprises the steps: collecting the multi-modal data of each region through a sensor, extracting the feature data of the multi-modal data, and obtaining a feature data set; performing feature fusion on the feature data set, converting fused feature data into graph structure data, and inputting the graph structure data into a target graph model to establish a target relation graph; adopting a quantum search algorithm to match abnormal objects in the target relation graph to obtain a matching result; and generating alarm data based on the matching result and the target processing request. Through application of the method and the device, the problems that data processing is delayed and public security risks are increased especially under the condition of large data volume or poor network conditions due to the fact that data collected by each area needs to be sent to a central server for processing and analysis when the public security condition is monitored and analyzed in real time in related technologies are solved.
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Citation Information
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