Work Machine Implement Calibration Under Vibration Noise
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Solution Overview
Problem
Existing calibration methods for machine implements are hindered by noise in position data due to vibrations, making it difficult to accurately determine the minimum velocity and proper calibration of the implement.
Innovation Solution
A control device processes position data using filters and noise value calculations to identify the start of motion and determine the minimum velocity of the implement, creating a calibration map based on these calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If position data is collected during machine operation to determine minimum velocity for calibration, then calibration accuracy can be improved, but vibration noise in the position data makes accurate identification of minimum velocity difficult
Solution Approach 1:
The system performs preliminary actions by collecting position data during periods when the implement is stationary or moving minimally before actual calibration operations. This preliminary data collection establishes a baseline that helps distinguish true motion signals from vibration noise during subsequent calibration measurements
Solution Approach 2:
The system introduces an intermediary processing layer that filters and analyzes position data to distinguish between vibration noise and actual implement motion. This intermediary processing separates harmful vibration signals from useful calibration data, enabling accurate minimum velocity determination
2Reliability
If the implement is calibrated to improve performance, then operation accuracy is enhanced, but the calibration process requires precise identification of start of motion which is difficult due to noise
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor position data and compare it against established thresholds and patterns. This feedback loop enables the system to reliably detect the start of motion by identifying when position changes exceed vibration noise levels, ensuring accurate calibration timing
Solution Approach 2:
The system performs preliminary characterization of vibration patterns and establishes motion detection thresholds before calibration operations begin. This preliminary setup creates reference data that makes start-of-motion detection more reliable during actual calibration
Data Source
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AI summary
A control may obtain first data related to a plurality of positions of an implement of a work machine during a first time period and may determine, based on the first data, a first noise value related to at least one velocity of the implement for the first time period. The control device may obtain second data related to a plurality of positions of the implement during a second time period and may determine, based on the second data, a second noise value related to at least one velocity of the implement for the second time period. The control device may determine, based on the first noise value and the second noise value, a start of motion of the implement. The control device may cause, based on determining the start of motion of the implement, the implement to be calibrated.