Air Seeder Gap Detection Using Distributed Blockage Sensors
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Solution Overview
Problem
Current monitoring systems for air seeders cannot detect momentary gaps in the product stream at high application rates, as they are unable to separately count individual particles, time stamp them, and associate them with GPS coordinates, limiting their ability to provide real-time visual indications of performance issues on a field map.
Innovation Solution
A monitoring system that includes blockage sensors in each distribution line to detect gaps in the product stream, generating signals that are processed to determine gap rates and displayed on a field map, allowing for real-time visualization and economic loss assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blockage sensors are installed in each distribution line to detect gaps in the product stream, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the monitoring function into multiple distributed blockage sensors, each responsible for a specific distribution line. This segmentation enables precise detection of gaps in individual lines while maintaining overall system manageability through modular architecture.
Solution Approach 2:
A central controller acts as an intermediary that collects data from multiple blockage sensors, processes the signals, and generates gap rate maps. This intermediary consolidates the complexity of handling multiple sensor inputs into a single processing unit, reducing the burden on individual sensor nodes.
2Productivity
If real-time monitoring of product stream gaps is implemented, then productivity is improved through immediate feedback, but use of energy increases due to continuous sensing and data processing
Solution Approach 1:
The blockage sensors are designed to operate autonomously, detecting gaps and generating signals without requiring continuous external power or control input. The system leverages the natural flow characteristics of the product stream to trigger detection events, reducing energy consumption compared to continuous active sensing.
Solution Approach 2:
The monitoring system operates in a periodic manner, with blockage sensors activated at regular intervals or triggered by flow conditions. This periodic operation provides real-time feedback capability while significantly reducing energy consumption compared to continuous monitoring, as the sensors can enter low-power states between detection cycles.
3Measurement precision
If gap detection capability is enhanced to detect momentary gaps, then measurement precision is improved, but reliability deteriorates due to false positives from normal stream variations
Solution Approach 1:
The system dynamically adjusts detection thresholds and parameters based on operating conditions such as product type, flow rate, and environmental factors. This dynamic adaptation allows the system to distinguish between genuine gaps and normal stream variations, improving reliability while maintaining sensitivity to momentary gaps.
Solution Approach 2:
The system incorporates feedback mechanisms where detection results are continuously analyzed and used to refine detection algorithms. By learning from historical data and operational patterns, the system reduces false positives over time while maintaining high detection precision for actual gaps.
Data Source
AI summary
A system and method (1200) for monitoring operating performance of a seeder. A sensor is disposed in each distribution line (58) of the seeder to detect gaps in the product stream. If the duration of the gap exceeds a gap threshold, the gap is recorded. In one embodiment, GPS coordinates are associated with each recorded gap which is then displayed on a field map such that the operator has a real-time a visual representation of each recorded gap within the field as the seeder advances through the field. In another embodiment, a gap rate (1311) is calculated and displayed by determining the number of occurrences of the recorded gaps over a distance or area. In another embodiment, an economic loss value is calculated and displayed based on different ranges of the calculated gap rate (1311).