Work Vehicle Adaptive Control Using Location-Based Outcome Maps
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Solution Overview
Problem
Existing systems for automatically controlling work vehicle operations are limited by operator capacity and experience, leading to variability in operation quality due to monitoring and setting adjustments.
Innovation Solution
A system comprising a remote computing system that generates a map of settings and expected outcomes based on field conditions and vehicle capabilities, transmitted to an onboard computing system for adaptive control, applying offsets when actual outcomes deviate from expected values to align with engine load thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operator continuously monitors operating parameters and adjusts vehicle settings, then operation quality can be maintained, but operator capacity is exceeded and experience variability causes quality inconsistency
Solution Approach 1:
The system enables self-service automation where the work vehicle automatically monitors its own operating parameters and adjusts subsystem settings without operator intervention. Sensors continuously collect data on operating conditions, and the control system autonomously optimizes subsystem performance based on real-time feedback, eliminating the burden of manual monitoring while ensuring consistent operation quality.
Solution Approach 2:
The patent replaces the mechanical system of manual operator monitoring and adjustment with an automated electronic control system. The onboard computing system processes sensor data and automatically controls subsystem settings, substituting human cognitive and physical efforts with electronic sensors, processors, and actuators that provide consistent, fatigue-free operation.
2Productivity
If remote computing system generates detailed maps of settings and outcomes, then operational efficiency is enhanced, but computational load and bandwidth requirements increase
Solution Approach 1:
The system implements local quality by generating location-specific operational maps that contain only the relevant settings and parameters needed for each specific field location. Rather than transmitting comprehensive global data, the remote computing system creates localized recommendations tailored to each geographic coordinate, reducing data volume while maintaining operational efficiency for each specific location.
Solution Approach 2:
The remote computing system performs preliminary analysis and generates operational maps before the vehicle reaches each location. By pre-processing data and creating setting recommendations in advance, the system reduces real-time computational requirements during vehicle operation, allowing the onboard system to simply execute pre-determined optimal settings rather than performing complex calculations during traversal.
Data Source
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AI summary
A system (100) for automatically controlling work vehicle operation includes a remote computing system (114) configured to determine settings for the vehicle (10) and expected outcomes at a plurality of locations within a field/work site. Furthermore, the remote computing system (114) is configured to generate a map identifying the settings and the expected outcomes at each location. Additionally, an onboard computing system (106) is configured to control the operation of the vehicle (10) based on the map as the vehicle (10) traverses the field/work site. Moreover, the onboard computing system (106) is configured to determine actual outcomes at each of location as the vehicle (10) traverses the field/work site. In addition, the onboard computing system (106) is configured to compare the actual outcomes and the expected outcomes at each location and apply one or more offsets to the settings when the actual outcomes differ from the expected outcomes by more than a threshold amount.