An intelligent management system for digital emergency plans based on artificial intelligence

Through natural language analysis technology based on artificial intelligence, semantic understanding of emergencies and digital plans is carried out, and two-way attention feature interaction is used to solve the problems of inefficient and insufficient accuracy of traditional emergency management plans, and fast and accurate plan recommendations are achieved, improving the efficiency and reliability of emergency management.

CN119761380AInactive Publication Date: 2025-04-04HANGZHOU YONGJI WATER SCI & TECH
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Patent Information

Application Number
CN202510255744.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-05
Publication Date
2025-04-04
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

When facing emergencies, traditional emergency management plans are inefficient and insufficiently accurate, making it difficult to quickly and accurately find the most suitable response plan, resulting in a longer response time and missing the best handling opportunity.

Method used

Natural language analysis and understanding technology based on artificial intelligence is used to semantic understanding of the natural language description of emergencies input by users and the plans extracted by digital plan database. Through the semantics of emergencies, the two-way attention feature interaction between the encoding features and the semantic encoding features of the plan is understood, and the two-way attention feature interaction between the coding features and the semantic encoding features of the plan is intelligently judged whether to return the plan as a recommendation.

Benefits of technology

By automatically analyzing and understanding the deep semantic information related to emergencies and plans, quickly find the most suitable response plan, ensure that the recommended plan is more in line with the actual situation, and significantly improve the overall efficiency and reliability of emergency management.

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Abstract

The present application provides an artificial intelligence-based digital emergency plan intelligent management system, which relates to the field of data intelligent analysis. It uses artificial intelligence-based natural language analysis and understanding technology to semantically understand the natural language description of the emergency input by the user and the first digital emergency plan extracted from the digital emergency plan database, so as to intelligently judge whether to return the first digital emergency plan as a recommended emergency plan based on the two-way attention feature interaction representation between the emergency semantic understanding coding feature and the first digital emergency plan semantic coding feature. In this way, by automatically analyzing and understanding the deep semantic information of the emergency and the digital emergency plan related information, it is conducive to quickly finding the most appropriate response plan, and ensuring that the recommended emergency plan is more in line with the actual situation, thereby significantly improving the overall efficiency and reliability of emergency management.
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