Adaptive Evacuation Message Generation Using Sensor Data
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Solution Overview
Problem
Existing LED display systems in buildings, used for emergency information and evacuation messaging, are limited in their ability to adapt messages in real-time and are prone to errors, especially during high-pressure events like fires, due to their reliance on predefined inputs from human operators.
Innovation Solution
A model-based system that uses sensors, building structure data, and real-time event data to generate adaptive evacuation messages and directions on LED displays, calculating safe routes and displaying attention-grabbing information dynamically based on the location and orientation of display units, incorporating a natural language generator for clear communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If predefined messages are used in LED display systems during emergencies, then the system configuration is simple, but the adaptability and response time are poor
Solution Approach 1:
The system pre-configures multiple message templates and evacuation routes in advance, stored in a database. During emergencies, the model-based system selects and adapts these pre-prepared messages based on sensor data and event type, avoiding the need to create messages from scratch during high-pressure situations while maintaining adaptability.
Solution Approach 2:
The system employs an automated model-based message generation system that autonomously selects, adapts, and displays appropriate evacuation messages based on sensor data and building information models, eliminating the need for human operator intervention in message creation during emergencies.
2Reliability
If human operators input messages during emergencies, then the messages can be customized, but the error rate increases under psychological pressure
Solution Approach 1:
The system performs message generation and selection automatically through a model-based approach that processes sensor data and building information to generate appropriate evacuation messages without human intervention, eliminating errors associated with manual input during high-stress emergency situations.
Solution Approach 2:
The system continuously monitors sensor data and event status, automatically adjusting and updating evacuation messages in real-time based on changing conditions, ensuring message accuracy without requiring operator reassessment under pressure.
3Loss of information
If real-time message adaptation is implemented, then the information accuracy improves, but the system complexity and processing requirements increase
Solution Approach 1:
The system pre-processes and stores building information models, evacuation routes, and message templates during normal operations. During emergencies, it rapidly queries and adapts these pre-processed data structures using sensor input, achieving real-time accuracy without the full processing complexity during critical moments.
Data Source
AI summary
A system includes one or more computer processors configured to receive structure data for a building, receive location data relating to a plurality of sensors positioned throughout the building, receive data from the sensors, and determine one or more of a safe space within the building and a safe evacuation route through the building as a function of the building structure, the location of the plurality of sensors, and the sensor data. The system further includes a plurality of display units positioned throughout the building and configured to display one or more of a message relating to an event within the building, an instruction on where to proceed in the building, and symbols indicating a direction for evacuation out of the building as a function of one or more of the safe space and the safe evacuation route.