Water immersion early warning method and related equipment thereof

By extracting and fusing features from environmental data and equipment status data in the flood warning system, and combining anomaly algorithm identification and processing strategies, the problems of multi-source data fusion and dynamic power consumption control in existing flood warning methods are solved, realizing intelligent flood warning response and improving the reliability and response efficiency of the monitoring system.

CN121505779APending Publication Date: 2026-02-10GUANGZHOU VCMY TECH CO LTD
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Patent Information

Application Number
CN202511673229.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-11-14
Publication Date
2026-02-10

AI Technical Summary

Technical Problem

Existing flood warning methods cannot achieve multi-source data fusion, dynamic power consumption control, and intelligent early warning response based on anomaly levels, resulting in frequent false alarms or missed alarms, low energy utilization efficiency, lack of comprehensive analysis of environmental data and equipment status, and inability to accurately reflect overall risks.

Method used

By determining the environmental data and equipment status data of the target area, feature extraction and fusion calculation are performed to construct water immersion risk indicators. Pre-set anomaly algorithms are used to identify anomalies and execute corresponding early warning schemes, including multi-layer distributed architecture design and intelligent processing strategies.

Benefits of technology

It has achieved the integration of multi-source data and intelligent risk identification, timely detection of potential water immersion hazards, improved the reliability and response efficiency of water immersion monitoring system, reduced false alarm rate and false alarm rate, and improved energy utilization efficiency.

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Abstract

The invention provides a water immersion early warning method and related equipment thereof. The water immersion early warning method comprises the following steps: determining environmental data in a target area and state data of corresponding monitored target equipment; determining water immersion risk data based on the environment data and the state data; performing anomaly identification on the water immersion risk data through a preset anomaly algorithm to obtain an anomaly identification result; and executing a corresponding water immersion early warning scheme based on the exception recognition result in combination with a preset exception handling strategy. Through the steps of the method, fusion and intelligent risk identification of multi-source monitoring data can be realized, potential water immersion hidden dangers can be found in time, accurate early warning is realized through a hierarchical response mechanism, and the reliability and response efficiency of a water immersion monitoring system are improved.
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