Acoustic Material Flow Sensing for Air Seeder Blockage Detection
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Solution Overview
Problem
Current agricultural equipment, such as air seeders, face challenges in detecting blockages and material ratios in multi-tank systems, as well as identifying furrow and soil characteristics, due to limitations in existing blockage sensors that cannot differentiate between materials and do not account for machine malfunctions.
Innovation Solution
The implementation of acoustic or vibration sensors that generate signals processed by advanced data processing systems, including Fast Fourier Transforms and artificial intelligence, to identify blockages, material types, and machine conditions, enabling precise monitoring of material flow and machine performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acoustic or vibration sensors with advanced signal processing are implemented, then blockage detection precision and material identification accuracy are improved, but device complexity increases
Solution Approach 1:
The patent replaces traditional mechanical blockage sensors with acoustic and vibration sensors that detect blockages through sound and vibration signals. This substitution enables non-contact detection and provides more precise measurement of blockage conditions while capturing additional information about material flow characteristics.
Solution Approach 2:
The patent introduces an intermediary signal processing system that acts as a bridge between the acoustic/vibration sensors and the control system. This intermediary layer processes raw sensor signals through Fast Fourier Transforms and artificial intelligence algorithms to extract meaningful blockage information, thereby managing the complexity while maintaining high detection precision.
2Measurement precision
If acoustic or vibration sensors with advanced signal processing are implemented, then material ratio identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces traditional mechanical material flow sensors with acoustic and vibration sensors that indirectly measure material ratios through sound and vibration characteristics. This substitution enables contactless measurement and provides more accurate material ratio identification by analyzing the acoustic signature of different material combinations.
Solution Approach 2:
The patent introduces an intermediary signal processing system that processes acoustic and vibration signals to extract material ratio information. The system uses Fast Fourier Transforms and artificial intelligence to analyze the complex acoustic signatures and determine material ratios, thereby achieving high identification accuracy while managing system complexity through specialized processing algorithms.
3Loss of information
If acoustic or vibration sensors are deployed to monitor multiple parameters, then information completeness about machine conditions is improved, but device complexity increases
Solution Approach 1:
The patent employs acoustic and vibration sensors that serve multiple functions simultaneously - detecting blockages, identifying material types, determining material ratios, and monitoring machine conditions. This multi-functionality approach reduces the need for separate specialized sensors for each parameter, thereby improving information completeness while actually reducing overall system complexity compared to using multiple dedicated sensors.
Solution Approach 2:
The patent merges multiple detection functions into a single integrated acoustic/vibration sensor system. By combining blockage detection, material identification, ratio measurement, and machine condition monitoring into one unified sensor platform, the system achieves comprehensive information coverage while simplifying the overall sensor architecture and reducing the number of separate components required.
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
This solution allows for real-time identification of blockages, material ratios, and machine malfunctions, improving the efficiency and accuracy of material delivery and reducing equipment downtime by providing operators with critical operational insights.
Implementation Method 1
An acoustic or vibration sensor is disposed relative to a portion of an agricultural machine. A sensor signal generated by the acoustic or vibration sensor is provided to a signal processor that identifies acoustic signatures
Implementation Method 2
A sensor signal generated by the acoustic or vibration sensor is provided to a signal processor that identifies acoustic signatures or vibration patterns
Data Source
AI summary
An acoustic or vibration sensor is disposed relative to a portion of an agricultural machine. A sensor signal generated by the acoustic or vibration sensor is provided to a signal processor that identifies acoustic signatures or vibration patterns to determine a blockage characteristic responsive to material moving through a material delivery system on the agricultural machine.