UAV Spatial Analysis for Safer Emergency Scene Assessment
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Solution Overview
Problem
First responders face challenges in obtaining accurate information about emergency events, such as the location and intensity of fires or the presence of trapped individuals, due to the chaotic nature of these events, which can put their lives at risk.
Innovation Solution
The use of an unmanned aerial vehicle (UAV) equipped with sensors, such as an infrared camera and LIDAR sensor, to gather visual and spatial data, which is then processed to generate an emergency event spatial analysis, providing critical information to first responders through a user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If first responders directly enter emergency event locations to gather information, then they can obtain first-hand information about the situation, but their safety is compromised due to chaotic and dangerous conditions
Solution Approach 1:
The patent introduces an unmanned aerial vehicle (UAV) as an intermediary device that flies into dangerous emergency zones to collect spatial and visual data. The UAV equipped with sensors (LIDAR, infrared, cameras) gathers information about fire locations, trapped individuals, and structural conditions without exposing human first responders to harmful environments. This mediator approach allows safe information collection while maintaining data accuracy.
Solution Approach 2:
The system performs preliminary spatial analysis and hazard assessment before first responders enter dangerous areas. By using UAVs to map the emergency scene, identify safe pathways, locate victims, and assess structural stability in advance, the system prepares comprehensive safety information that enables responders to make informed decisions about their entry into hazardous zones.
2Device complexity
If traditional manual assessment methods are used at emergency scenes, then equipment complexity is minimized, but information accuracy and completeness deteriorate due to chaotic conditions
Solution Approach 1:
The patent employs a multi-functional integrated system where a single UAV platform performs multiple assessment tasks simultaneously. The same UAV that maps the spatial environment also detects thermal signatures of fires, locates trapped individuals through various sensors, and identifies structural hazards. This universal approach achieves comprehensive high-precision spatial analysis without requiring multiple separate complex systems.
3Loss of information
If comprehensive spatial analysis is conducted using multiple sensors and processing systems, then information accuracy improves, but device complexity and processing requirements increase
Solution Approach 1:
The patent combines multiple sensor types (LIDAR, infrared cameras, visible light cameras, thermal sensors) and processing functions into an integrated UAV-based spatial analysis system. Rather than using separate systems for each function, the invention merges data collection, processing, and analysis capabilities into a unified platform that generates comprehensive spatial analysis reports, thereby achieving complete spatial information with coordinated system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows first responders to make informed decisions about how and where to respond during emergency events, reducing their risk of injury or death by providing real-time, accurate information about the emergency situation.
Implementation Method 1
a first sensor (e.g., an infrared camera) to provide a visual input
Implementation Method 2
a second sensor (e.g., a light detection and ranging (LIDAR) sensor) to provide a spatial input
Data Source
AI summary
Devices, systems, and methods for generating an emergency event spatial analysis are described herein. In some examples, one or more embodiments include a controller comprising a memory and a processor to execute instructions stored in the memory to receive a visual input from a first sensor and a spatial input from a second sensor, where the first sensor and the second sensor are located on an unmanned aerial vehicle (UAV), generate, based on the visual input and the spatial input, an emergency event spatial analysis, and display, via a user interface, the emergency event spatial analysis.