A dynamic emergency evacuation planning method, system, and storage medium based on a dual knowledge base.

By employing a dual knowledge base and a dynamic emergency evacuation planning method, combined with genetic algorithms and sensor monitoring, the problem of the inability to dynamically adjust evacuation plans in existing technologies has been solved, achieving the effect of realistically simulating personnel evacuation and dynamically adjusting evacuation routes in nuclear accidents.

CN115907247BActive Publication Date: 2026-06-30SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
Filing Date
2022-10-25
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies cannot realistically simulate the road choices and movements of personnel when formulating evacuation routes in a nuclear accident, and cannot dynamically adjust evacuation plans to cope with environmental changes, which may render the evacuation plans no longer applicable.

Method used

The dynamic emergency evacuation planning method based on dual knowledge bases acquires the geographical information and personnel location distribution of the evacuation area, combines genetic algorithms and collision-free motion algorithms to simulate the personnel evacuation process, and uses sensor monitoring and neural networks to predict pollutant diffusion to adjust the evacuation plan in real time.

Benefits of technology

It enables a more realistic simulation of the evacuation process during a nuclear accident, dynamically adjusts evacuation routes, and improves the applicability and safety of evacuation plans.

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Abstract

This invention discloses a dynamic emergency evacuation planning method, system, electronic device, and storage medium based on a dual knowledge base. The method includes: acquiring geographical information and personnel location distribution within the evacuation area; predicting pollutant diffusion based on different wind directions and speeds; randomly combining the personnel location distribution and pollutant diffusion conditions within different evacuation areas to form evacuation environments; using a genetic algorithm to find the optimal evacuation plan for each evacuation environment and constructing a dual knowledge base with it; comparing the actual evacuee distribution data and pollutant diffusion conditions with the evacuation environments in the dual knowledge base, and using the optimal evacuation plan with the highest matching degree as the initial evacuation population to solve for the evacuation scheme for the evacuees; if the matching degree of the pollutant diffusion conditions is greater than a set threshold, then a new evacuation plan is formulated for the evacuees. This invention can quickly formulate preliminary evacuation strategies and achieve dynamic evacuation planning through a dual knowledge base.
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