Motor Grader Sensor Calibration Using Onboard Geometry Feedback
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Solution Overview
Problem
Precise control and calibration of sensors on motor graders is complex due to the multiple degrees of freedom and operational frames, often requiring external sensors and extensive calibration processes that are cumbersome and error-prone.
Innovation Solution
A method and system where onboard sensors calibrate each other using the motor grader's geometry and linkage arrangements, allowing for accurate measurement error determination without the need for external devices or extreme positioning of the vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external sensors and extensive calibration processes are used to calibrate sensors on motor graders, then measurement precision is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system uses onboard sensors to automatically calibrate themselves by determining measurement errors through comparison of signals from multiple sensors positioned on different components (body, operational frame, linkage arrangement, or working implement). This self-calibration eliminates the need for external sensors and manual calibration procedures, thereby maintaining measurement precision while significantly reducing calibration process complexity
Solution Approach 2:
The processor receives signals from multiple sensors and uses the comparative data to determine measurement errors. This feedback mechanism allows the system to automatically identify and correct sensor inaccuracies by analyzing discrepancies between sensor readings and known geometric relationships, improving measurement precision without requiring external calibration equipment
2Measurement precision
If external sensors and extensive calibration processes are used to calibrate sensors on motor graders, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The sensor system performs automatic self-calibration by comparing signals from multiple onboard sensors against known geometric relationships of the motor grader components. This eliminates the need for operators to perform manual calibration procedures with external equipment, thereby maintaining measurement precision while dramatically improving ease of operation
Solution Approach 2:
The system replaces manual mechanical calibration procedures with an automated electronic calibration process. The processor automatically determines measurement errors by analyzing sensor signals and geometric relationships, substituting the need for operator intervention and external calibration tools, thus improving both measurement precision and ease of operation
3Measurement precision
If manual external calibration is performed, then measurement precision can be improved, but loss of time increases
Solution Approach 1:
The system performs calibration automatically during normal operation by continuously comparing sensor signals against known geometric relationships. This preliminary and ongoing calibration eliminates the need for separate, time-consuming manual calibration procedures while maintaining measurement precision, thereby reducing loss of time
Solution Approach 2:
The sensor system continuously self-calibrates by analyzing signals from multiple onboard sensors and determining measurement errors in real-time. This automatic process eliminates the need for operators to allocate time for manual calibration procedures, maintaining measurement precision while significantly reducing loss of time
Data Source
AI summary
A work vehicle including a body, an operational frame movable relative to the body about a primary joint, a linkage arrangement configured to adjust a position of the operational frame relative to the body, and a working implement coupled to the operational frame and movable relative to the body. A first sensor is positioned on the body. A second sensor is positioned on at least one of the operational frame, the linkage arrangement, and the working implement. A processor is configured to receive a first signal from the first sensor, where the first signal is representative of a measurement sensed by the first sensor, receive a second signal from the second sensor, where the second signal is representative of a measurement sensed by the second sensor, and determine a measurement error of the first sensor based on the signals from the first sensor and the second sensor.