Drone Drive Sensor Pad for Preflight Fault Detection
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Solution Overview
Problem
Existing drone drive system diagnostics are inaccurate and costly, leading to frequent accidents due to malfunctions, and existing stations are cumbersome and costly to install and maintain.
Innovation Solution
A diagnostic sensing structure with a block-type diagnostic device that includes a sensing housing unit with magnetic field, frequency shift, and wave detection parts, along with a thermal imaging camera, to accurately diagnose drive system abnormalities before flight, integrated into a block-type sensor pad for takeoff and landing sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If a vibration sensor is used to diagnose drone abnormalities, then the diagnostic capability is improved, but the accuracy of diagnosing the entire drive system deteriorates
Solution Approach 1:
The patent divides the drive system into multiple detectable components: magnetic field (for motor diagnostics), frequency shift (for blade rotation diagnostics), and sound wave (for mechanical anomaly diagnostics). Each sensor targets specific drive system elements, enabling comprehensive and accurate diagnosis beyond what a single vibration sensor could achieve.
Solution Approach 2:
The diagnostic device integrates three different sensing functions (magnetic field detection, frequency shift detection, and sound wave detection) into a single unified system. This multi-functional approach allows one device to diagnose various aspects of the drive system simultaneously, improving both diagnostic capability and accuracy.
2Adaptability or versatility
If a case-type station is manufactured for drone diagnostics, then the diagnostic function is provided, but the manufacturing cost and installation complexity increase
Solution Approach 1:
The diagnostic device is divided into separate functional modules (magnetic field detection part, frequency shift detection part, wave detection part) that can be independently manufactured and then assembled. This modular segmentation reduces manufacturing complexity and cost while maintaining full diagnostic functionality.
Solution Approach 2:
The patent uses a controller as an intermediary that processes signals from all three sensor types and coordinates their operation. This centralized control mechanism simplifies the integration of multiple sensing functions into a unified diagnostic system, reducing overall 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
Accurately detects drive system abnormalities, reducing accidents and costs by integrating sensors into a block-type pad, enhancing flight stability and diagnostic accuracy while minimizing station construction costs.
Implementation Method 1
a magnetic field detection part configured to detect a change in a magnetic field generated by a drive motor of the drive system
Implementation Method 2
a frequency shift detection part configured to measure a Doppler shift in frequency generated by a blade of the drive system
Implementation Method 3
a wave detection part configured to measure a soundwave generated by the blade of the drive system
Data Source
AI summary
Proposed is a diagnostic sensing structure for a drone's drive system and a block-type diagnostic device for a drone's drive system including the same, which, by having a diagnostic sensor unit measuring physical quantities generated from the drone's drive system, may accurately diagnose any abnormalities in the drive system such as a motor and blade before flight, may detect abnormal operation of the drone's drive system during takeoff and landing by configuring, together with a general block-type dummy pad, a block-type sensor pad that detects abnormal operation of the drive system as a takeoff and landing site for drones, and may significantly reduce the costs of building a station and diagnostic system for drones.