Risk early warning method and system based on spatio-temporal matching of monitoring data, and related device

By acquiring and processing multi-source monitoring data, generating a unified spatiotemporal dataset, and employing the analytic hierarchy process (AHP), the data integration challenge in traditional village risk early warning was solved, enabling accurate risk early warning and dynamic assessment, and improving monitoring accuracy and response efficiency.

CN122114654APending Publication Date: 2026-05-29XI AN JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XI AN JIAOTONG UNIV
Filing Date
2026-04-27
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

The social and ecological monitoring and risk early warning system in traditional villages suffers from data fragmentation and lacks unified data standards and a sharing platform. This makes it difficult to integrate multi-source data, fails to capture the correlation between risk factors as they evolve over time and spread across space, and results in insufficient monitoring accuracy and frequent misjudgments in risk warnings.

Method used

By acquiring real-time multi-source monitoring data, performing data preprocessing, matching time and spatial dimensions, generating a unified spatiotemporal dataset, and using the analytic hierarchy process to construct a risk warning analysis model, calculate the comprehensive risk value, and output the warning results.

Benefits of technology

It significantly improves the accuracy and reliability of risk warnings, enables precise perception and dynamic assessment of risk situations, provides strong support for timely formulation of prevention and control strategies, and enhances the spatiotemporal correlation and fusion efficiency of data.

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Abstract

The application belongs to the technical field of data processing, and discloses a risk early warning method and system based on space-time matching of monitoring data and related equipment; wherein the risk early warning method based on space-time matching of monitoring data comprises the following steps: performing space-time matching on real-time multi-source monitoring data to generate a space-time unified data set; inputting the space-time unified data set into a risk early warning analysis model to obtain a comprehensive risk value; obtaining a risk early warning result according to the comprehensive risk value; and the risk early warning analysis model adopts an analytic hierarchy process; the application can convert complex risk monitoring data into a space-time unified data set, significantly enhances the space-time dimension correlation, can also combine the analytic hierarchy process to scientifically quantify the weight of monitoring indexes at all levels, and significantly improves the accuracy and reliability of early warning analysis.
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