An emergency case simulation reasoning method and system and a computer readable storage medium

By generating emergency cases using a large model and introducing factual and logical calibration mechanisms, the problem of poor consistency in emergency case simulations is solved, achieving high-precision and diverse simulation results to support emergency decision-making.

CN122413657APending Publication Date: 2026-07-17ZHENGZHOU UNIV
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Patent Information

Application Number
CN202610393746.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-03-27
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing simulation technologies lack randomness and diversity in the simulation and deduction of emergency cases, resulting in poor consistency of facts and logic, making it difficult to effectively assess and respond to emergency situations.

Method used

The system uses a large model to generate initial emergency cases and ensures the accuracy and logical rigor of the events through factual and logical calibration mechanisms. Combined with controllable randomness and user interaction modules, it generates diverse emergency case simulation results.

Benefits of technology

It achieves high-precision and high-fidelity emergency case simulation and deduction, improves the factual consistency and logical rigor of simulation results, provides diverse simulation scenarios and visualization tools, and supports emergency decision-making.

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Abstract

本发明涉及一种紧急案例的仿真推演方法、系统及计算机可读存储介质,属于数字仿真技术。本发明采用大模型驱动的方式进行紧急案例的仿真推演,首先利用大模型的跨领域知识迁移能力,根据不同领域的紧急案例数据集生成目标领域的初始紧急案例,即使在缺乏足够领域样本的情况下,也能生成高度相关且现实的初始紧急案例推演;其次利用大模型沿着不同的发展方向对初始紧急案例进行分布推演以生成不同世界线,并在分布推演过程中引入事实校准与逻辑校准机制,以确保推演过程中每步推演出的事件均能够事实准确与逻辑严谨,实现了高精度与高保真度的紧急案例仿真与推演。
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