Plant Protection UAV Obstacle Marking for Low-Altitude Spraying
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Solution Overview
Problem
Traditional plant protection unmanned aerial vehicles face difficulties in avoiding obstacles during low-altitude spraying operations, leading to potential crashes and economic losses.
Innovation Solution
A method involving three unmanned aerial vehicles, where the first vehicle identifies terrain height and scene type using convolutional neural networks, deploys a magnetic plug-in with a specific pattern, and the second vehicle uses an optical sensor to match the pattern and bypass obstacles, while the third vehicle recovers the plug-in if necessary, allowing efficient obstacle avoidance without inter-vehicle communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the plant protection unmanned aerial vehicle flies at a lower height for spraying operation, then the spraying effect is improved, but the risk of encountering obstacles and crashing increases
Solution Approach 1:
The system divides the spraying operation into multiple phases: a first unmanned aerial vehicle performs preliminary terrain scanning and magnetic plug-in deployment at higher altitude, while a second unmanned aerial vehicle performs the actual spraying at lower altitude. This segmentation allows the spraying vehicle to operate at optimal low height without bearing the obstacle detection burden alone.
Solution Approach 2:
The first unmanned aerial vehicle performs preliminary actions by scanning terrain, identifying obstacles, and deploying magnetic plug-ins before the second unmanned aerial vehicle begins spraying. This preliminary obstacle marking enables the spraying vehicle to navigate safely at low altitude without real-time communication, resolving the contradiction between low-altitude spraying effectiveness and crash risk.
2Reliability
If traditional obstacle avoidance methods are used, then the unmanned aerial vehicle can detect obstacles, but the spraying operation is interrupted and efficiency is reduced
Solution Approach 1:
The magnetic plug-in serves as an intermediary object deployed on the ground by the first unmanned aerial vehicle. It carries magnetic and optical markers that enable the second unmanned aerial vehicle to detect and avoid obstacles without requiring real-time communication or complex active sensing during spraying, thus maintaining continuous spraying operation while ensuring obstacle avoidance.
Solution Approach 2:
The system creates a simplified representation of obstacles through magnetic plug-ins with optical patterns on the ground. Instead of requiring the spraying vehicle to actively scan and process complex 3D obstacle data in real-time, it follows visual cues from the deployed plug-ins, significantly reducing computational burden and enabling continuous spraying with enhanced safety.
3Reliability
If real-time communication between multiple unmanned aerial vehicles is implemented for coordinated obstacle avoidance, then navigation safety is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The system extracts the communication requirement by using the first unmanned aerial vehicle to deploy passive magnetic plug-ins on the ground before the second vehicle operates. The second vehicle relies on pre-deployed physical markers rather than real-time digital communication, eliminating the need for complex inter-vehicle communication protocols while maintaining coordinated obstacle avoidance.
Solution Approach 2:
The magnetic plug-ins are self-contained units with embedded magnets and optical patterns that autonomously provide navigation information. The second unmanned aerial vehicle independently detects these markers using its onboard sensors without requiring communication with the first vehicle, enabling each vehicle to operate autonomously based on pre-deployed environmental cues.
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
The method enhances spraying efficiency by preventing blockages and allowing the unmanned aerial vehicle to safely navigate around obstacles without the need for communication between the vehicles, expanding its application range and simplifying implementation.
Implementation Method 1
a magnetic field sealing device is preset on the magnetic plug-in... uses a preset magnetic sensor on the second unmanned aerial vehicle to sense the magnetic field intensity of the specified magnetic plug-in
Implementation Method 2
uses a catapulting device preset on the first unmanned aerial vehicle to catapult the specified magnetic plug-in preset on the first unmanned aerial vehicle
Data Source
AI summary
The present application relates to the field of plant protection unmanned aerial vehicles, and discloses an obstacle-avoiding spraying method and device for a plant protection unmanned aerial vehicle, a computer device and a storage medium. Through special designs, the plant protection unmanned aerial vehicle is capable of avoiding obstacles for spraying operation, and the efficiency of the spraying operations is improved on the premise of preventing from blockage of the obstacles. It should be noted that the obstacle-avoiding spraying method for the plant protection unmanned aerial vehicle of the present application needs to be implemented jointly by three unmanned aerial vehicles, but the special part is that it is unnecessary for unmanned aerial vehicle terminals corresponding to the three unmanned aerial vehicles to communicate and interact with each other, such that the method has a wider application range and is easier to implement.