Monitoring and early warning method and system based on water conservancy flood prevention

By integrating multi-source hydrological monitoring data and using intelligent analysis technology, flood risk prediction signals and flood situation evolution signals are generated, solving the problems of single data and untimely warnings in traditional flood control monitoring and early warning methods, and realizing accurate prediction of flood risks and efficient execution of flood control measures.

CN121638879APending Publication Date: 2026-03-10南京市江宁区城市数字治理中心
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Patent Information

Application Number
CN202511695545.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-24
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Traditional flood control monitoring and early warning methods rely on single hydrological data and lack multi-source data fusion, resulting in insufficient accuracy in flood risk prediction, incomplete early warning information, and difficulty in accurately grasping and effectively controlling the flood situation.

Method used

Using multi-source hydrological monitoring data, including real-time rainfall, river water level, soil moisture, and meteorological forecast data, flood risk prediction signals and flood situation evolution signals are generated through a deep belief network model and a Bayesian inference framework. Combined with a flood control decision knowledge graph and an adaptive fuzzy control system, flood control control parameters are dynamically adjusted and optimized flood control signals are generated.

Benefits of technology

It enables accurate prediction of flood risks and refined analysis of flood conditions, improves the efficiency of flood control measures and resource allocation, ensures close integration of early warning information and facility operation, and provides a comprehensive quantitative early warning index.

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Abstract

The invention relates to the technical field of water conservancy flood prevention monitoring, and discloses a water conservancy flood prevention monitoring and early warning method and system. The method comprises the following steps: acquiring multi-source hydrological monitoring data including real-time rainfall, riverway water level, soil humidity and weather forecast data, and constructing a comprehensive hydrological information basis; flood risk analysis is carried out based on the data, a flood risk prediction signal and a flood situation evolution signal are synchronously generated, and the flood occurrence probability and the development trend are clarified. And combining the flood risk prediction signal with the multi-source data to determine flood prevention regulation and control parameters and generate an optimized flood prevention signal. Flood prevention facility operation is adjusted according to the optimized flood prevention signal and the flood situation evolution signal, an early warning control signal is output, the two signals are processed at the same time to generate a comprehensive early warning index, and the severity of the flood situation is visually reflected. According to the method, hydrological data multi-dimensional fusion is realized, flood prevention monitoring and early warning are promoted to change from single data dependence to multi-source collaboration, and the flood situation response efficiency is improved.
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