Personalized Evacuation Guidance for Accessible Emergency Routing
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Solution Overview
Problem
Existing emergency alert systems fail to provide personalized messages and evacuation guidelines that cater to individual needs, particularly for people with disabilities, in both indoor and outdoor environments, leading to potential dangers during emergencies.
Innovation Solution
A method and system that utilizes event listeners, data processing, and machine learning algorithms to generate personalized messages and evacuation routes tailored to individual user needs, incorporating data from user devices and external databases, and providing real-time guidance through suitable communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed broadcast messages are used in emergency alert systems, then the system can be simple and fast to implement, but the system cannot provide personalized information for people with disabilities
Solution Approach 1:
The system segments the user population into different categories based on their needs and characteristics. It divides emergency messages into multiple types (text, audio, visual) and delivers them through different channels based on user profile, location, and disability type, allowing personalized communication without requiring complete system redesign
Solution Approach 2:
The system creates a multi-functional emergency alert platform that can handle multiple message types (text, audio, visual alerts), support various delivery channels (SMS, email, push notifications, social media), and accommodate different user needs (hearing impaired, vision impaired, mobility impaired) within a single unified system
2Adaptability or versatility
If standardized evacuation routes are provided, then the system is easy to implement and maintain, but the system cannot account for individual mobility needs and disabilities
Solution Approach 1:
The system provides different evacuation route characteristics based on local user needs. Each user receives evacuation guidance tailored to their specific mobility constraints, disability type, and location within the building, with route features (ramps, elevators, door widths) matched to their requirements
Solution Approach 2:
The evacuation route system dynamically adjusts routes based on real-time conditions including user mobility status, current location, building occupancy, and environmental factors. Routes are recalculated as users move and as emergency conditions evolve, providing adaptive guidance rather than static paths
3Productivity
If manual evacuation guidance is provided by emergency personnel, then personalized assistance can be given, but the system cannot respond quickly enough to fast-moving emergencies
Solution Approach 1:
The system performs preliminary actions by pre-configuring user profiles with disability information, accessibility needs, and communication preferences before emergencies occur. When an emergency happens, this pre-prepared information is immediately activated, enabling instant personalized response without manual assessment
Solution Approach 2:
The system implements feedback loops where user responses to emergency messages are tracked, route selection and progress are monitored, and guidance is adjusted based on user behavior and environmental sensor data. This continuous feedback enables the system to adapt and improve its personalized guidance in real-time
4Measurement precision
If comprehensive user data collection is implemented, then highly personalized messages can be generated, but user privacy and data security risks increase
Solution Approach 1:
The system extracts and processes only the minimum necessary data elements required for emergency communication and evacuation guidance. It separates essential personalization data (mobility status, communication preferences) from optional information, collecting only what is strictly needed for safety purposes
Data Source
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AI summary
The invention relates to a method and a system (10) for automated personalized messages and personalized evacuation guidelines indoors or outdoors. In particular, a system providing automated personalized messages and/or personalized evacuation guidelines indoors or outdoors avoiding overcrowded routes adaptable to the user's special needs at a given period as well as a combination of these options is described.