Filtering Sensor Signal Interference from Powered Components
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Solution Overview
Problem
Existing agricultural vehicle header systems experience significant sensor signal interference due to powered components like rotating reels, leading to inaccurate control outputs.
Innovation Solution
Implement an electronic control unit that filters sensor signals using frequency-, amplitude-, or distance-based methods to remove interference from powered components, such as rotating reels, by calculating and adjusting for their motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If sensors are used to provide feedback for automated header control, then automation capability is improved, but sensor signal accuracy deteriorates due to interference from powered components
Solution Approach 1:
The patent introduces an intermediary processing system (controller with filtering algorithms) that mediates between the noisy sensor signals and the automated control system. The controller receives raw sensor data, applies filtering algorithms to remove interference from powered components, and provides cleaned signals to the automated control functions, enabling both automation and measurement precision.
Solution Approach 2:
The system implements feedback by continuously monitoring sensor signals and using the filtered output to adjust header component operation. The controller compares actual sensor readings with expected values, identifies interference patterns from powered components, and adjusts control outputs accordingly, creating a closed-loop system that maintains accuracy despite noise.
2Adaptability or versatility
If powered components are added to the header for enhanced functionality, then operational capability is improved, but sensor interference increases
Solution Approach 1:
The patent converts the harmful electromagnetic interference from powered components into a beneficial identification marker. By detecting characteristic interference patterns generated by specific powered components (reel, auger, conveyor), the system identifies their operational states and uses this information to adjust sensor interpretation, turning the interference itself into useful diagnostic data.
Solution Approach 2:
The system dynamically changes processing parameters based on the operational state of powered components. When powered components are active, the controller adjusts filtering parameters, sampling rates, and threshold values to account for the increased interference levels, maintaining sensor accuracy across varying operational conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of sensor data processing, allowing for precise control of header operations, including lighting and height adjustments, by effectively filtering out noise from powered components.
Implementation Method 1
a sensor configured to detect electromagnetic waves indicative of a parameter associated with the header
Data Source
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AI summary
In one aspect, a system for filtering signal interference from sensors signals includes a header comprising a frame and a powered component supported relative to the frame, and a sensor configured to detect electromagnetic waves indicative of a parameter associated with the header. In addition, the system includes an electronic control unit operably connected to the sensor such that the electronic control unit is configured to receive signals from the sensor associated with the detection of the electromagnetic waves. The electronic control unit is further configured to filter interference from the signals deriving from motion of the powered component relative to the sensor.