Emergency Rescue Simulation Method and System Based on AI Prediction of Event Development
By using AI to predict event development and AR/VR technology, highly realistic emergency rescue simulation videos are generated, solving the problems of realism, intelligent prediction, and interactivity in traditional simulation training, and achieving more efficient disaster response training.
CN120910788BActive Publication Date: 2026-05-26HENAN JIEWEN INFORMATION TECH CO LTD
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Patent Information
- Application Number
- CN202511017275.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-23
- Publication Date
- 2026-05-26
- Estimated Expiration
- 2045-07-23
AI Technical Summary
Technical Problem
Traditional emergency rescue simulation training lacks realism, intelligent prediction capabilities, interactivity, and visualization, making it unable to effectively cope with complex and dynamic disaster scenarios.
Method used
It employs an AI-based approach to predict event development, utilizing a multi-agent collaborative prediction model and dynamic decision tree generation, combined with AR/VR technology to generate highly realistic simulated videos that support real-time interactive decision feedback.
Benefits of technology
It improves the realism of the simulation and the user experience, enhances the accuracy and reliability of predictions, provides an immersive training environment, and improves training effectiveness and enjoyment.
✦ Generated by Eureka AI based on patent content.
Abstract
This invention belongs to the field of emergency rescue simulation technology. It discloses an emergency rescue simulation method and system based on AI prediction of event development. The method includes the following steps: collecting real-time multi-source data of the current emergency rescue simulation scenario, and performing multimodal feature extraction and encoding to obtain a real-time comprehensive event feature vector; based on the real-time comprehensive event feature vector, performing AI prediction of event development and decision tree generation to obtain real-time event development AI prediction results and a real-time dynamic decision tree; based on the real-time event development AI prediction results and the real-time dynamic decision tree, generating a simulation video to obtain a real-time emergency rescue simulation video; using AR / VR devices for visualization, and based on real-time interactive data, performing the next emergency rescue simulation scenario's event development AI prediction and video generation steps. This invention solves the problems of existing technologies, such as lack of realism, lack of intelligent prediction functions, poor interactivity, and limited visualization.
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