Work Implement Load Control for Precise Automatic Digging
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Solution Overview
Problem
Conventional automatic control systems for work machines, such as bulldozers, struggle to maintain a high quality finish during digging due to excessive load, causing disturbances in the topography shape.
Innovation Solution
A system and method that utilize a load sensor and processor to detect excessive loads, execute load reduction controls, record reference positions, and adjust the next starting position for digging, ensuring the work machine operates within optimal load conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Force
If the controller causes the work implement to operate in a locus different from the normal locus when the load applied to the work implement is excessive, then the load is reduced, but the shape of the dug actual topography is disturbed
Solution Approach 1:
The controller records the position of the work machine as a reference position before the work implement operates in a locus different from the normal locus. This preliminary recording of position data allows the system to restore the normal locus afterward, ensuring the topography shape is not permanently disturbed while still achieving load reduction.
Solution Approach 2:
The controller uses feedback from position data and load information to determine when to restore the normal locus. By continuously monitoring the work machine's position and load conditions, the system can intelligently switch between load reduction mode and normal operation mode, maintaining both load safety and topography quality.
2Force
If the controller reduces the load by raising the blade, then the excessive load is reduced, but digging quality finish deteriorates
Solution Approach 1:
The controller records the position where load reduction control is executed as a reference position before restoring the normal locus. This preliminary action ensures that when the blade is raised to reduce load, the system remembers the original position and can restore it afterward to maintain digging quality.
Solution Approach 2:
The controller dynamically adjusts the blade's locus based on real-time load conditions. When load exceeds thresholds, the system temporarily raises the blade; when load is acceptable, it restores the normal digging locus. This dynamic adjustment maintains both load safety and digging quality.
3Reliability
If automatic control is used to manage excessive load, then machine safety is improved, but topography shape precision deteriorates
Solution Approach 1:
The controller records position data as reference positions before executing load reduction control. This preliminary recording enables the system to restore the normal operating locus afterward, ensuring that automatic load management does not permanently affect topography precision.
Solution Approach 2:
The system uses feedback from position sensors and load monitoring to determine when to switch between load reduction mode and normal operation mode. This feedback mechanism ensures that automatic control maintains machine safety while minimizing impact on topography shape precision through intelligent restoration of normal loci.
Data Source
AI summary
A system automatically controls a work machine including a work implement. The system includes a load sensor and a processor. The load sensor detects load data indicative of a load applied to the work implement. The processor acquires the load data. The processor executes a load reduction control in order to cause the work machine to operate so as to reduce the load based on the load applied to the work implement during digging. The processor records, as a reference position, a position of the work machine when the load applied to the work implement during the digging becomes a predetermined threshold or greater. The processor determines a next starting position based on the reference position. The processor controls the work machine to start next digging from the next starting position.