Emergency UAV Dispatch With Real-Time Diagnostics for Remote Incidents
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Solution Overview
Problem
Existing emergency response systems face challenges in rapidly and effectively dispatching resources to remote or inaccessible locations, where additional information is needed to identify the necessary resources and their deployment methods, and human responders may not reach quickly enough to collect critical data during emergencies.
Innovation Solution
The system automates the deployment of unmanned aerial vehicles (UAVs) to emergency locations for surveillance and delivery of medical equipment, using an emergency data manager that monitors emergency queues, determines UAV availability, and establishes control links to dispatch UAVs equipped with specific payloads based on emergency types, enabling real-time data transmission and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If human responders are dispatched to remote or inaccessible locations, then they can collect critical information, but response time is delayed and accessibility is limited
Solution Approach 1:
The patent introduces an unmanned aerial vehicle (UAV) as an intermediary between the emergency dispatch center and remote emergency locations. The UAV can fly to inaccessible areas, capture images and videos, and transmit them back to the dispatch center, serving as a mediator that overcomes both the time delay and accessibility limitations of human responders while collecting critical information.
2Reliability
If additional information is collected at emergency locations, then resource identification and deployment accuracy improve, but response speed decreases
Solution Approach 1:
The patent replaces the mechanical system of human responders physically traveling to emergency locations with an automated UAV system. The UAV can rapidly deploy, automatically capture images and videos, and transmit data for AI-based analysis, eliminating the time-consuming manual information collection process while maintaining or improving resource identification accuracy through advanced image recognition algorithms.
Solution Approach 2:
The system performs preliminary actions by deploying the UAV to the emergency location immediately upon receiving the emergency call, before final resource deployment decisions are made. The UAV captures images and videos in advance, allowing the dispatch center to analyze the situation and identify appropriate resources more quickly, thus improving both response speed and accuracy.
3Productivity
If UAVs are deployed to all emergency locations, then response capability is improved, but system complexity and operational difficulty increase
Solution Approach 1:
The patent implements self-service functionality in the UAV system through automated features. The UAV autonomously navigates to emergency locations, automatically captures images and videos, and transmits data back to the dispatch center. The AI system automatically analyzes the captured media to identify emergency types and recommend resources, eliminating the need for manual operation and reducing system complexity despite widespread deployment.
Data Source
AI summary
A disclosed method includes monitoring a plurality of emergency event queues at an emergency network entity; determining that an emergency event in one of the emergency event queues corresponds to an emergency type that can be responded to using an unmanned aerial vehicle; determining that an unmanned aerial vehicle is available that has capabilities corresponding to the emergency type; establishing an unmanned aerial vehicle control link between the unmanned aerial vehicle and the emergency network entity; and deploying the unmanned aerial vehicle to the emergency event location and providing data from the unmanned aerial vehicle on a display of the emergency network entity.