Drone Trajectory Planning for Precise High-Altitude Cleaning
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Solution Overview
Problem
Existing drone monitoring and control systems face challenges in efficiently navigating and operating drones for high-altitude cleaning and maintenance tasks due to environmental factors like moisture, salt, and dust, which affect equipment surfaces such as high-voltage towers and wind turbine blades, requiring innovative solutions for precise trajectory planning and payload management.
Innovation Solution
A drone monitoring and control system comprising a drone, a mobile vehicle, a computing device, and a display device, where the drone is equipped with a camera and payload, and the computing device generates flight and movement trajectories using algorithms like PSO or ACO, allowing for precise targeting and operation of the drone at high altitudes, while the display device provides real-time environmental data for effective operation planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual methods are used for high-altitude cleaning and maintenance, then equipment can be serviced, but work efficiency is low and manpower requirements are high
Solution Approach 1:
The patent replaces manual mechanical operations with an automated drone system equipped with cleaning payloads. The drone autonomously navigates to target locations using GPS and pre-planned trajectories, performs cleaning operations without human intervention, and returns to the mobile vehicle. This substitution of manual labor with automated aerial robotics directly resolves the contradiction by dramatically improving productivity while the integrated control system manages complexity.
Solution Approach 2:
The drone system operates autonomously once deployed, navigating to target locations, performing cleaning tasks, and returning to base without continuous human control. The system self-manages its flight trajectory, payload operation timing, and positioning accuracy through integrated sensors and control algorithms, enabling self-service operation that boosts productivity while reducing the need for complex human-operated equipment.
2Productivity
If drones are used for high-altitude operations, then productivity increases, but precise trajectory planning and control become more difficult
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing flight trajectories before drone deployment. The control device generates complete flight paths including takeoff, navigation to target, cleaning operation positioning, and return routes. This preliminary trajectory planning simplifies actual operation, as the drone simply follows pre-planned paths, thereby increasing productivity while reducing real-time control difficulty.
Solution Approach 2:
The drone system incorporates real-time feedback through cameras and sensors that monitor position, trajectory accuracy, and target location. The control device receives this feedback and adjusts flight paths dynamically to maintain precision. This closed-loop feedback control enables complex high-altitude operations with improved productivity while keeping the control system manageable through automated correction rather than manual intervention.
3Manufacturing precision
If the drone hovers close to the target for precise cleaning, then cleaning precision improves, but flight stability becomes more challenging
Solution Approach 1:
The system introduces an intermediary control layer between the drone and the target. Rather than requiring the drone to hover statically close to the target, the control device calculates optimal dynamic trajectories that bring the drone to precise positions for cleaning operations. This intermediary trajectory control enables high cleaning precision while maintaining flight stability by avoiding prolonged hovering in challenging atmospheric conditions near high-altitude targets.
Solution Approach 2:
The system transitions from static hovering to dynamic motion for precise positioning. The drone follows calculated trajectories that bring it to optimal cleaning positions with controlled motion rather than sustained hovering. This dynamic approach maintains flight stability by continuously moving through stable flight regimes while achieving the precision needed for effective cleaning operations on high-altitude structures.
4Ease of operation
If the drone operates autonomously with pre-planned trajectories, then ease of operation improves, but real-time adaptability to environmental changes decreases
Solution Approach 1:
The autonomous drone system incorporates real-time feedback sensors and cameras that continuously monitor environmental conditions and target positions. This feedback enables the control device to adjust pre-planned trajectories dynamically, maintaining ease of autonomous operation while adapting to real-time environmental changes such as wind conditions or target misalignment. The system combines autonomous operation with adaptive correction to resolve the contradiction.
Solution Approach 2:
The system changes operational parameters dynamically based on real-time conditions. While maintaining autonomous operation with pre-planned trajectories, the control device adjusts flight parameters such as speed, altitude, and positioning in response to environmental feedback. This parameter adaptation allows the drone to operate autonomously with ease while remaining versatile and responsive to changing environmental conditions during high-altitude cleaning missions.
Data Source
AI summary
A drone monitoring and control system includes: a drone, a mobile vehicle configured to carry the drone, a computing device and a display device. The drone is disposed with an operation payload and a camera. The drone performs an output operation of the operation payload. The computing device outputs a first environment image according to a first image captured by the camera, generates a flight trajectory of the drone and a movement trajectory of the mobile vehicle according to an operation data set including a target location of a target object and 3D terrain data, controls the drone to move to a set location according to the flight trajectory, and controls the drone to stay at the set location when a distance between the target and set locations is less than a preset distance. The display device displays the first environment image and the 3D terrain data.