A hydrological monitoring intelligent measurement and forecasting method and system based on big data analysis

By introducing big data analysis and multi-source verification into the hydrological monitoring and forecasting system, setting two-level early warning thresholds and conducting credibility assessments, the problems of false alarms and missed alarms in traditional hydrological monitoring and forecasting systems have been solved, achieving a dynamic balance between the timeliness and accuracy of early warnings and improving the overall performance of the early warning system.

CN122135534APending Publication Date: 2026-06-02YANGTZE RIVER WATER CONSERVANCY COMMISSION HYDROLOGY BUREAU UPPER YANGTZE RIVER HYDROLOGY & WATER RESOURCES SURVEY BUREAU +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
YANGTZE RIVER WATER CONSERVANCY COMMISSION HYDROLOGY BUREAU UPPER YANGTZE RIVER HYDROLOGY & WATER RESOURCES SURVEY BUREAU
Filing Date
2026-03-12
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

The existing hydrological monitoring and forecasting system lacks a self-questioning mechanism, leading to false alarms and missed reports. It is difficult to achieve a balance between the timeliness and accuracy of early warnings, especially in the case of sensor failure, extreme weather, or human interference, where the credibility of the prediction results cannot be identified.

Method used

An intelligent monitoring and forecasting method based on big data analysis is adopted. It makes preliminary judgments by acquiring real-time monitoring data, sets two-level warning thresholds to trigger emergency warnings or preliminary warnings, and combines multi-source verification data for credibility assessment. A weighted fusion algorithm is used to generate a comprehensive credibility score and dynamically adjust the warning issuance decision.

Benefits of technology

It achieves a dynamic optimal balance between emergency response timeliness and early warning accuracy, ensuring second-level response in extreme emergency situations, while improving the rigor and prediction accuracy of routine early warnings.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of hydrological monitoring, in particular to a hydrological monitoring intelligent measurement and forecasting method and system based on big data analysis, which acquires real-time monitoring data and performs real-time analysis; compares the monitoring data with a second early warning threshold, if it exceeds, directly issues the highest level of emergency warning and terminates the process; if it does not exceed the second threshold but exceeds the first threshold, triggers a preliminary warning and generates a preliminary measurement and forecasting conclusion; acquires at least two independent verification data sources to verify the preliminary measurement and forecasting conclusion, generates a credibility score according to the consistency of the verification results; according to the credibility score, performs corresponding early warning release operation according to the preset decision rule, through the hierarchical research and judgment and multi-source verification mechanism, realizes the organic combination of emergency second-level response and accurate decision of regular early warning.
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