UAV Monitoring Datagrams for Detection and Risk Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for detecting and monitoring unmanned aerial vehicles (UAVs) are limited by size or material detection, and visual detection techniques struggle to distinguish UAVs from other movable objects, posing safety and privacy concerns.
Innovation Solution
A system and method for generating and transmitting datagrams containing monitoring data, such as UAV location and control station location, using existing communication channels, allowing detectors to identify and assess risk levels based on datagram analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If radar is used to detect UAVs, then detection capability is improved, but detection is limited by UAV size or material
Solution Approach 1:
The monitoring system is designed to detect multiple types of objects (UAVs of various sizes and materials) using a single integrated approach that combines communication channel interception with detector arrays, eliminating the need for multiple specialized detection systems
2Ease of operation
If visual detection technique is used to detect UAVs, then ease of operation is improved, but ability to distinguish UAVs from other movable objects deteriorates
Solution Approach 1:
The system uses datagrams transmitted on communication channels as an intermediary carrier that contains unique identification and location information about the UAV, allowing detectors to accurately identify UAVs without relying solely on visual characteristics that may be ambiguous
3Measurement precision
If sound-based detection is used to detect UAVs, then detection capability is improved, but data processing requirements increase significantly
Solution Approach 1:
The system extracts only the necessary monitoring data (location, identification) from the datagrams transmitted on communication channels, rather than processing all audio data, significantly reducing computational requirements while maintaining detection capability
Data Source
AI summary
A method for monitoring an unmanned aerial vehicle (UAV) includes a processor obtaining a datagram based on monitoring data for a UAV-detector communication between the UAV and one or more detectors. The monitoring data indicates at least one of a location of the UAV or a location of a control station in communication with the UAV. The method further includes determining a risk level by retrieving pre-stored risk information associated with the UAV based on the datagram.