Implement Load Position Sensing for Accurate Wheel Loader Payload
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Solution Overview
Problem
Existing systems for determining the locational value and payload of mobile machinery, such as wheel loaders, face inaccuracies due to inconsistent signals from pressure sensors in lift and tilt cylinders, especially when the linkage and implement change positions or the distribution of material within the implement changes.
Innovation Solution
A method and system that utilize pressure data, position data, and predetermined physical parameters to determine the locational value and payload characteristics of the implement, incorporating position sensors, pressure sensors, and a controller to calculate the load and center of gravity, which can dynamically adjust operational parameters based on the payload distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pressure sensors are used in lift and tilt cylinders to measure payload, then payload measurement can be obtained, but measurement precision deteriorates when linkage and implement change positions or material distribution changes
Solution Approach 1:
The system changes the parameters used for measurement from direct pressure sensor readings to a combination of pressure data, position data from sensors on the linkage and implement, and predetermined physical parameters. By incorporating position parameters and calculating locational values and centers of gravity, the system adapts to different configurations and maintains measurement precision across varying positions and material distributions.
2Reliability
If only pressure sensor data is used to determine payload, then the system remains simple, but reliability deteriorates due to inconsistent signals from pressure sensors
Solution Approach 1:
The system merges multiple data sources including pressure sensor data, position sensor data from the linkage and implement, and predetermined physical parameters into a unified measurement approach. This combination of multiple sensing elements and data types compensates for the inconsistencies of individual pressure sensors and improves overall signal reliability and payload measurement accuracy.
3Ease of operation
If the system accounts for payload distribution and center of gravity, then operational control improves, but device complexity increases
Solution Approach 1:
The system introduces intermediate calculated parameters including locational values of the payload and center of gravity positions as mediators between the raw sensor data and the operational control decisions. These intermediary parameters simplify the control process by providing meaningful physical quantities that directly relate to machine operation and stability, making the system easier to operate despite the underlying complexity of multiple sensors and calculations.
Data Source
AI summary
A method for determining implement load characteristics of a load carrying mobile machine includes receiving at least pressure data and position data associated with a payload received by the implement. The method also includes determining a locational value associated with the payload within the implement. The method further includes updating the locational value based on movement of the payload in the implement, the updated locational value being based at least on the pressure data, the position data, and predetermined physical parameters of the machine. The method further includes using the updated locational value to determine operational parameters of the machine.