Work Machine Controller Using Real-Time Payload Data for Dynamic Cutting
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Solution Overview
Problem
Current methods for operating work machines with cutting edges are inefficient, leading to excessive time spent in cutting and diminished fill rates due to lack of optimized operating strategies, often relying on preset times and manual intervention.
Innovation Solution
A system and method utilizing real-time control with a controller that monitors cutting edge engagement, payload data from sensors, and productivity rates to determine optimal operating strategies, including when to abort a cutting operation, thereby minimizing operator training and improving productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If preset times are used for cutting operations, then operator training is simplified, but productivity is reduced due to excessive time spent in the cut and diminished fill rates
Solution Approach 1:
The system implements real-time feedback by monitoring payload sensor data and cutting parameters, automatically adjusting cutting strategies based on actual receptacle fill rates and material characteristics, thereby optimizing productivity while maintaining ease of operation through automated decision-making
Solution Approach 2:
The system transitions from static preset times to dynamic, real-time adjustment of cutting parameters based on monitored payload data, allowing the cutting strategy to adapt continuously to changing conditions and maximize productivity
2Productivity
If real-time monitoring and dynamic adjustment are implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The controller serves multiple functions: it monitors payload sensors, analyzes cutting parameters, determines optimal cutting strategies, and executes control commands, consolidating complex operations into a single multi-functional device that improves productivity without proportionally increasing overall system complexity
3Quantity of substance
If cutting operations continue until receptacle is full, then material utilization is maximized, but time is lost due to material spillage and excessive cutting time
Solution Approach 1:
The system performs preliminary analysis of payload sensor data and material characteristics before completing the cutting operation, predicting optimal abort points that prevent spillage and unnecessary cutting time while maximizing material utilization
Data Source
AI summary
A method and system of using real-time control for a work machine to determine strategies for operating the work machine is disclosed. The method may comprise accessing a real-time cutting time; accessing a first productivity rate, accessing a payload data; analyzing the cutting time; determining an operating strategy based at least on changes in the cutting time and the payload data; and either executing the operating strategy or notifying an operator to execute the operating strategy.