Work Machine Zonal Control Using Dynamic Thematic Map Updates
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Solution Overview
Problem
Current systems for controlling work machines, such as agricultural harvesters, face inaccuracies in thematic maps generated from prior data and are not responsive enough to instantaneous changes, leading to poor control of machine subsystems.
Innovation Solution
A work machine that receives a thematic map and dynamically identifies control zones based on in situ data, adjusting actuator settings accordingly to improve control and responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If thematic maps are generated from a priori data to predict variables for work machine control, then control information is available for geographic locations, but the maps are inaccurate and not responsive to instantaneous changes
Solution Approach 1:
The system performs preliminary actions by collecting a priori data and generating predictive thematic maps in advance of the work machine operation. This provides initial control information for geographic locations before the machine arrives, allowing preparation of control parameters and settings ahead of time.
Solution Approach 2:
The system implements feedback by collecting in situ data from sensors on the work machine during operation and using this real-time information to update and refine the thematic maps. This closed-loop approach continuously improves map accuracy by comparing predicted values with actual measurements and adjusting accordingly.
2Speed
If control systems attempt to control all subsystems based on instantaneous thematic map values, then responsiveness to current conditions is improved, but the actuators cannot adjust quickly enough
Solution Approach 1:
The system performs preliminary action by pre-calculating and storing control parameters and actuator settings for different geographic locations in the thematic map before the work machine reaches those locations. This allows the control system to prepare optimal settings in advance, eliminating delays associated with real-time calculation during machine operation.
Solution Approach 2:
The system applies dynamics by transitioning from static, pre-determined control settings to dynamic, location-specific control parameters that are continuously updated based on the work machine's geographic position. The control system dynamically adjusts actuator settings as the machine moves through different zones, enabling responsive adaptation to changing conditions.
Data Source
AI summary
A work machine receives a thematic map that maps values of a variable to different geographic locations at a worksite. Control zones are dynamically identified on the thematic map and actuator settings are dynamically identified for each control zone. A position of the work machine is sensed, and actuators on the work machine are controlled based upon the control zones that the work machine is in, or is entering, and based upon the settings corresponding to the control zone. These control zones and settings are dynamically adjusted based on in situ (field) data collected by sensors on the work machine.