Emergency Guidance Drone for Obstruction-Aware Exit Routing
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Solution Overview
Problem
Existing home monitoring systems lack an effective method to guide users safely out of a property during emergencies, such as fires, by navigating around obstructions and minimizing safety risks.
Innovation Solution
A drone device equipped with sensors and communication features that determines the user's location and identifies optimal exit paths by analyzing sensor data from the property and on-board data, avoiding obstructions and providing navigation assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a monitoring system detects an emergency condition and attempts to guide users out of the property, then the safety and effectiveness of emergency response is improved, but the system complexity and difficulty of implementation increases
Solution Approach 1:
The system is divided into separate functional modules: a monitoring system for detecting emergency conditions, a computing device for processing sensor data and determining paths, and a drone device for navigation and guidance. This segmentation allows each component to specialize in specific tasks, improving overall reliability while making the system more manageable and less complex to implement.
Solution Approach 2:
The system performs preliminary actions by pre-determining multiple candidate exit paths and evaluating them against current sensor data before guiding users. The computing device calculates path metrics and selects optimal paths in advance, so when an emergency occurs, the guidance is already prepared and ready for immediate deployment, enhancing response effectiveness without adding operational complexity during the emergency.
2Reliability
If the drone device determines optimal exit paths by analyzing sensor data and avoiding obstructions, then the safety of users is improved, but the time required to determine the path increases
Solution Approach 1:
The computing device evaluates multiple candidate exit paths simultaneously rather than sequentially, and calculates comprehensive path metrics including distance, obstructions, and safety factors for each. This partial or excessive action of evaluating more paths than strictly necessary ensures the safest route is selected while the parallel processing minimizes the time penalty, maintaining user safety without excessive delay.
Solution Approach 2:
The system replaces manual pathfinding with automated computational analysis of sensor data. The computing device uses algorithms to process sensor information, identify obstructions, calculate path metrics, and determine optimal exit paths automatically, eliminating the need for manual assessment and significantly reducing path determination time while maintaining or improving user safety.
3Measurement precision
If the monitoring system uses multiple sensors to detect emergency conditions and determine user location, then the precision of location determination is improved, but the cost and complexity of the system increases
Solution Approach 1:
The system merges multiple sensor types (smoke detectors, heat detectors, motion sensors, cameras) into an integrated monitoring system that shares a common processing platform. The computing device consolidates data from all sensors to determine user location and emergency conditions, improving measurement precision through multi-sensor fusion while reducing overall system complexity by using a unified architecture rather than separate independent systems.
Data Source
AI summary
Techniques are described for configuring a monitoring system to assist users during a detected emergency condition at a property. In some implementations, sensor data from one or more sensors that are located at the property are obtained by a monitoring system that is configured to monitor the property. A determination that there is an emergency condition at the property is made by the monitoring system based on the sensor data, determining. A location of a person inside the property is determined by the monitoring system based on the sensor data. A first path to the person and a second path to guide the person away from the emergency condition are determined by the monitoring system. The first path to the person and the second path to guide the person away from the emergency condition are navigated by a computing device of the monitoring system.