Abnormal state processing and resource scheduling method, apparatus, device, and medium

By integrating multi-source data in real time, generating abnormal exposure data of target objects and performing dynamic status analysis, the problem of data fusion during disasters is solved. This enables dynamic damage status assessment and automated resource scheduling for individual disaster-affected objects, improving the real-time nature of loss assessment and claims efficiency.

CN122115124APending Publication Date: 2026-05-29PING AN TECH (SHENZHEN) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
PING AN TECH (SHENZHEN) CO LTD
Filing Date
2026-03-04
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

In existing technologies, it is impossible to integrate multi-source heterogeneous data in real time to pinpoint the damage status of individual affected objects when a disaster occurs, resulting in delayed disaster assessment and a lack of automated mechanisms for claims processing and resource allocation, which affects rapid response and efficiency during disasters.

Method used

By acquiring real-time environmental monitoring data, attribute data, and abnormal event prediction data, spatiotemporal fusion and feature mapping are performed to generate abnormal exposure data of target objects. This data is then input into a dynamic state analysis model for feature extraction and deduction to determine whether environmental parameters have reached resource allocation thresholds. Real-time state locking evidence snapshots are generated, and virtual resource allocation and auxiliary resource scheduling are executed.

Benefits of technology

It enables dynamic damage assessment of individual affected objects, improves the real-time nature and accuracy of loss assessment, optimizes claims processing and resource allocation efficiency, and ensures rapid response during disasters.

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Abstract

The application relates to the technical field of intelligent decision-making, and discloses an abnormal state processing and resource scheduling method, device, equipment and medium, which comprises the following steps: acquiring environmental monitoring data of a target area, attribute data of a target object and abnormal event prediction data, performing space-time fusion and feature mapping, and generating target object abnormal exposure data; the data is input into a state dynamic analysis model for feature extraction and deduction, real-time damage prediction marks and estimated mark values are obtained, and real-time state locking evidence snapshots are generated by judging environmental parameter trigger thresholds, virtual resource allocation and auxiliary resource scheduling instructions are executed. The application can be applied to business scenes such as financial property insurance, real-time fusion of multiple source data is realized, dynamic damage state evaluation of a single disaster target is realized, the real-time performance and accuracy of loss evaluation are improved, the efficiency of claim settlement and resource scheduling is optimized, and fast response during disasters is ensured.
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