Emergency rescue method and system based on unmanned aerial vehicle and urban three-dimensional platform

Through the emergency rescue method combined with the urban three-dimensional platform, the drone is used to obtain real-time information and identify accident characteristics through image recognition algorithms, and input a three-dimensional model for simulation, solving the problem of low efficiency in the current situation of manual acquisition of accidents and achieving efficient and accurate emergency rescue decisions.

CN119648011AActive Publication Date: 2025-03-18SHENZHEN ORIGINAL WORLD TECH CO LTD +1
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Patent Information

Application Number
CN202510174450.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-18
Publication Date
2025-03-18
Estimated Expiration
2045-02-18

AI Technical Summary

Technical Problem

In the prior art, the current situation of accidents through manual collection is low, resulting in the limitation of the accuracy and efficiency of emergency rescue work.

Method used

Emergency rescue methods based on drones and urban three-dimensional platforms are adopted, real-time regional information of the emergency rescue area is obtained through drone formations, and accident status features are identified using pre-trained accident status image recognition algorithms, and these features are input into the regional three-dimensional model for simulation processing, and accident simulation models are generated to assist rescue decisions.

Benefits of technology

It improves the efficiency of drone detection, enhances the timeliness and accuracy of rescue, solves the problem of low efficiency in the current situation of manual collection accidents, and realizes comprehensive analysis and accurate simulation of emergency rescue areas.

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Abstract

The invention relates to the technical field of digital simulation, and discloses an emergency rescue method and system based on unmanned aerial vehicles and an urban three-dimensional platform, and the method comprises the steps: calling an emergency rescue region model through the urban three-dimensional platform, driving an unmanned aerial vehicle formation to go to an emergency region to obtain real-time region information, and employing a pre-trained accident condition image recognition algorithm to recognize an accident condition image; accident condition characteristics such as smoke and fire, fire fighting access blockage, emergency exit blockage, urban inland inundation, dangerous slopes, dangerous building detection, illegal building of building roofs, river channel floating object recognition and high-voltage electric tower inclination monitoring are identified, and the accident condition characteristics are substituted into the regional three-dimensional model to generate an accident simulation model. Real-time accident condition feedback is provided through the accident simulation model, rescue workers are assisted to make scientific rescue decisions, through comprehensive analysis and accurate simulation of an emergency rescue area, the detection efficiency of the unmanned aerial vehicle is improved, the timeliness and accuracy of rescue are enhanced, and the problem that in the prior art, the efficiency is low through manual collection of the current accident condition is solved.
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