UAV Field-Strength Mapping for 3D Antenna Signal Measurement
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Solution Overview
Problem
Existing methods for measuring electromagnetic field strength of antennas are inefficient, lack real-time data transmission, and fail to account for real-world environmental factors, leading to discrepancies between theoretical and practical results.
Innovation Solution
A UAV-based system equipped with a field strength indicator, GPS, and telemetry to measure and map electromagnetic fields, using gradient-following navigation and the inverse square law to dynamically adjust flight paths and extrapolate signal strength, providing real-time data transmission to a ground station.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ground-based measurement methods are used, then equipment complexity is reduced, but measurement precision and productivity deteriorate due to inefficiency and inability to capture three-dimensional field distribution
Solution Approach 1:
The patent replaces ground-based mechanical measurement systems with an aerial robotic system that flies through three-dimensional space to collect electromagnetic field data. The robotic aircraft substitutes traditional ground-based equipment, enabling efficient three-dimensional mapping while maintaining measurement precision through automated flight paths and real-time data transmission.
Solution Approach 2:
The patent transitions from two-dimensional ground-based measurements to three-dimensional aerial measurements. By deploying a robotic aircraft that operates in three-dimensional space, the system captures complete spatial distribution of electromagnetic fields, significantly improving both measurement precision and productivity through volumetric data collection.
2Loss of time
If manual measurement methods are used, then device complexity is reduced, but loss of time increases due to manual data recording and processing
Solution Approach 1:
The robotic aircraft performs self-service by autonomously navigating predefined flight paths, automatically recording electromagnetic field strength data, and transmitting information in real-time to ground stations. This eliminates the need for manual data collection and processing, significantly reducing time loss while the automated systems manage the complexity.
Solution Approach 2:
The system implements real-time feedback through continuous data transmission from the robotic aircraft to ground stations. This allows immediate processing and analysis of electromagnetic field measurements, reducing the time lag between data collection and results while maintaining systematic complexity management through automated feedback loops.
3Measurement precision
If theoretical antenna models are used, then ease of manufacture is improved, but measurement precision deteriorates due to discrepancies between theoretical and real-world environmental factors
Solution Approach 1:
The patent measures actual electromagnetic field strength parameters in real-world environments rather than relying on theoretical models. By collecting empirical data from aerial measurements, the system captures the true impact of environmental factors on antenna performance, improving measurement accuracy while systematically accounting for real-world variations.
4Productivity
If human operators conduct measurements, then ease of operation is maintained, but loss of time increases and productivity decreases due to manual intervention requirements
Solution Approach 1:
The robotic aircraft system performs self-service by autonomously executing flight paths, collecting data, and transmitting results without continuous human intervention. This dramatically improves productivity while maintaining ease of operation through pre-programmed autonomous functions that eliminate manual measurement tasks.
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
Enables high-precision, automated mapping of electromagnetic fields with real-time data transmission, reducing human intervention and ensuring compliance with regulatory restrictions while optimizing antenna performance.
Implementation Method 1
a field strength indicator that measures signal power levels
Implementation Method 2
transmits the data to a ground station via telemetry
Data Source
AI summary
A system and method for measuring and mapping electromagnetic field strength using an unmanned aerial vehicle (UAV) equipped with a field strength indicator. The UAV records signal power levels while tracking its position via GPS, transmitting data in real-time to a ground station. The ground station software generates detailed maps and charts visualizing antenna signal propagation. Users can customize measurement parameters to achieve desired resolution and granularity. The system and method provide an efficient and automated method for assessing antenna performance across various azimuths and elevations.