Blade Penetration Detection for Low Cut Volume in Hard Ground
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Solution Overview
Problem
Existing systems fail to address ineffective blade penetration by machines in hard or compacted materials, such as rocky or frozen terrain, requiring remedial actions to loosen such impediments.
Innovation Solution
A method and system for determining poor implement penetration using sensors on a blade-based machine, including GPS, IMU, and blade position sensors, to initiate remedial actions like adjusting blade angles, requesting additional machinery, or manual control when threshold cut volumes are not achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the blade-based machine attempts to cut hard or compacted material (rocky or frozen terrain), then the machine operates autonomously without human intervention, but the blade fails to achieve sufficient cut volume due to impenetrable ground
Solution Approach 1:
The system continuously monitors cut volume using position sensors and compares it against expected values. When the cut volume falls below a threshold indicating poor penetration, the system automatically triggers remedial actions such as adjusting blade angle or activating ripper teeth, enabling autonomous adaptation to difficult terrain conditions
Solution Approach 2:
The blade angle is dynamically adjusted based on real-time cut volume feedback. The system changes the blade pitch angle from an initial cutting angle to a remedial angle when penetration is insufficient, allowing the machine to adapt its cutting strategy dynamically rather than maintaining a fixed operational parameter
2Productivity
If the blade angle is adjusted to increase penetration in hard material, then cut volume may improve, but the system complexity increases due to additional sensors and control mechanisms
Solution Approach 1:
The position sensors serve multiple functions: they track the blade's position for autonomous guidance, measure cut volume to detect poor penetration, and provide feedback for triggering remedial actions. This multi-functionality reduces the need for dedicated sensors solely for penetration detection, thereby limiting the increase in system complexity
3Productivity
If remedial actions are initiated automatically upon detecting poor penetration, then machine productivity is maintained, but the ease of operation is reduced due to decreased manual control
Solution Approach 1:
The system automatically detects poor penetration conditions and initiates remedial actions without requiring operator intervention. The machine serves itself by autonomously adjusting blade angle or activating ripper teeth when cut volume indicates insufficient penetration, thereby maintaining productivity without manual control
Data Source
AI summary
A method of identifying blade penetration that is ineffectual by a blade-based machine at a work site, including: attempting to cut an area of ground by the blade-based machine at the work site; determining that the cut is ineffectual based on a determination of a threshold cut volume achieved by the blade-based machine, the threshold cut volume being based on input from one or more position sensors on the blade-based machine; and initiating one or more remedial actions based on the determination of ineffectual cutting by the blade-based machine.