Tree Cutting Sequence Guidance Using Precalculated Second-Cut Paths
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Solution Overview
Problem
Existing methods for executing a cutting sequence in trees lack safety and precision, often resulting in unintended tree behavior, such as falling or splintering, which can injure workers and reduce economic value.
Innovation Solution
A method and system that automatically detect and precalculate the course of a second cut based on the first cut, providing cutting information to ensure alignment and orientation, using detection devices like cameras and inertial measuring units, and outputting instructions acoustically, optically, or haptically to guide the cutting device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual cutting sequence is executed without automated guidance, then operational simplicity is maintained, but safety and precision deteriorate resulting in unintended tree behavior and worker injury risk
Solution Approach 1:
The cutting device captures its own position and orientation data through integrated sensors (GPS, accelerometers, gyroscopes), eliminating the need for external tracking systems. The device processes its own trajectory information and generates guidance signals autonomously, reducing system complexity while maintaining safety.
Solution Approach 2:
A processing unit acts as an intermediary between the sensors capturing cutting trajectory and the output devices providing guidance. This intermediary processes raw sensor data, compares it with the ideal cutting path, and generates appropriate guidance signals for display or haptic feedback systems.
2Manufacturing precision
If automated detection and precalculation system is implemented, then cutting precision is improved, but device complexity increases
Solution Approach 1:
The cutting device integrates multiple functions into a single system: it captures position data, determines orientation, calculates ideal cutting paths, provides visual guidance, and generates haptic feedback. This multi-functionality reduces the need for separate specialized devices while maintaining high cutting precision.
Solution Approach 2:
The system precalculates the ideal cutting path before the actual cutting operation begins. By determining the optimal trajectory in advance and comparing it with the actual cutting path during execution, the system can provide real-time guidance corrections without requiring complex real-time calculation systems.
3Measurement precision
If real-time trajectory monitoring and comparison is performed, then cutting accuracy is enhanced, but information processing requirements and system complexity increase
Solution Approach 1:
The system continuously monitors the actual cutting trajectory through sensors and compares it with the precalculated ideal path. Based on the deviation detected, the system provides real-time feedback through visual displays or haptic feedback mechanisms, allowing the operator to correct the cutting path without requiring complex centralized control systems.
Data Source
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AI summary
The invention relates to a method for assisting in the execution of a cutting sequence in a tree (100) and a system for assisting in the execution of a cutting sequence in a tree (100).