system

JP2026103614APending Publication Date: 2026-06-24SOFTBANK GROUP CORP
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-12
Publication Date
2026-06-24

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  • Figure 2026103614000001_ABST
    Figure 2026103614000001_ABST
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Abstract

We provide the system. [Solution] Means for acquiring atmospheric data and topographic information, Means for acquiring atmospheric information and topographic data, Means for pre-processing the aforementioned atmospheric information and topographic data, A means for analyzing the aforementioned atmospheric information and topographic data using machine learning methods to predict the probability of disaster occurrence, A means for generating an evacuation plan based on prediction results, Means for presenting the aforementioned evacuation plan via an output device, A means of providing personalized evacuation instructions based on the user's location information, A system that includes this.
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Claims

1. Means for acquiring atmospheric information and topographic data, Means for pre-processing the aforementioned atmospheric information and topographic data, A means for analyzing the aforementioned atmospheric information and topographic data using machine learning methods to predict the probability of disaster occurrence, A means for generating an evacuation plan based on prediction results, Means for presenting the aforementioned evacuation plan via an output device, A means of providing personalized evacuation instructions based on the user's location information, A system that includes this.

2. The system according to claim 1, characterized in that the evacuation plan integrates the user's location information and the optimal route to a safe point.

3. The system according to claim 1, characterized in that the machine learning method is trained based on past information from multiple disaster occurrences, and further effectively utilizes prompts using generative AI technology.