Autonomous Drone Evacuation Routing for Faster Emergency Response

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Solution Overview

Problem

Existing emergency response systems rely on human detection and communication, leading to errors and delays in responding to emergency conditions, which can worsen the situation and cause property damage, safety risks, and increased costs.

Innovation Solution

A computing platform that uses autonomous drones to detect emergency conditions, gather sensor data, plan responses, and execute evacuation routes, while also communicating with first responders and unlocking doors as needed, to mitigate emergencies before and after their arrival.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If manual detection and communication by humans is used, then system complexity is reduced, but response time increases and detection accuracy decreases

Engineering Contradiction:
Improveresponse timeVSAvoidsystem complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The system enables autonomous self-service through AI-powered analytics that automatically detect emergencies, generate alerts, and coordinate responses without human intervention. The platform processes sensor data, identifies incidents, and triggers notifications autonomously, eliminating manual detection and communication steps while reducing response time.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent introduces an AI-powered analytics platform as an intermediary between sensors and emergency responders. This intermediary automatically processes sensor data, detects emergencies, and communicates with responders, replacing manual human detection and communication while improving response time and accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If autonomous drones with multiple sensors are deployed, then detection accuracy improves, but device complexity and cost increase

Engineering Contradiction:
Improvedetection accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent employs multi-functional autonomous drones equipped with diverse sensors (thermal, smoke, gas, cameras) that can detect multiple types of emergencies simultaneously. This universal approach allows a single drone system to handle fire, chemical leaks, and other incidents, improving detection accuracy across various emergency types while consolidating equipment needs.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent combines multiple sensor types and detection capabilities into integrated autonomous drone systems. By merging thermal imaging, smoke detection, gas sensing, and visual cameras into single platforms, the system achieves comprehensive detection accuracy while reducing the overall number of separate devices needed.

Inventive Principle:
Principle #5Merging (Combining)

3Loss of information

If real-time sensor data collection by drones is implemented, then information accuracy improves, but energy consumption increases

Engineering Contradiction:
Improveinformation accuracyVSAvoidenergy consumption
Core Design Contradiction:
Loss of informationVSUse of energy by moving object

Solution Approach 1:

The patent implements periodic sampling of sensor data rather than continuous monitoring. Drones collect information at strategically timed intervals during their patrol routes, which maintains adequate information accuracy for emergency detection while significantly reducing energy consumption compared to continuous real-time data collection.

Inventive Principle:
Principle #19Periodic action

Solution Approach 2:

The system performs preliminary data collection during routine drone patrols before emergencies occur. By gathering baseline sensor information during normal operations, the system maintains information accuracy readiness without requiring high-energy continuous monitoring, only activating intensive data collection when anomalies are detected.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11288936B1Emergency incident detection, response, and mitigation using autonomous drones
Publication Date: 2022.03.29 ALLSTATE INSURANCE COMPANY
  • US11288936B1 patent drawing
  • US11288936B1 patent drawing
  • US11288936B1 patent drawing

AI summary

A system may be configured to detect an emergency condition at a premises; dispatch one or more autonomous drones to a location associated with the emergency condition; receive from the one or more autonomous drones, sensor data associated with the emergency condition; generate, based on the sensor data, a plan identifying an evacuation route for safely evacuating the premises; and transmit an instruction that causes the one or more autonomous drones to indicate, to one or more persons in a vicinity of the emergency condition, the evacuation route. The system may further detect, based on the sensor data, one or more safe areas in the premises, and the evacuation route may pass through at least one of the one or more safe areas.