Agricultural Nozzle Vector Control via Airflow Detection
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Solution Overview
Problem
Existing agricultural spray systems face challenges in maintaining consistent spray quality due to varying airflow conditions, which affect the distribution of agricultural products on the field, leading to uneven application and reduced efficiency.
Innovation Solution
An agricultural system that includes nozzle assemblies on a boom assembly with an airflow detection system and a computing system to monitor and adjust airflow vectors, ensuring optimal spray quality by adjusting nozzle operation parameters based on real-time data from sensors and weather stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional spray systems operate without airflow monitoring, then the system structure remains simple, but spray quality becomes inconsistent due to varying airflow conditions
Solution Approach 1:
The system employs airflow detection systems that continuously monitor airflow conditions and provide feedback to the control system. This feedback mechanism enables real-time adjustments to nozzle operation parameters, ensuring consistent spray quality despite varying airflow conditions. The feedback loop closes the control cycle, allowing the system to adapt to changing environmental conditions automatically.
Solution Approach 2:
The system dynamically adjusts nozzle operation parameters based on real-time airflow measurements. Rather than operating with fixed parameters, the nozzle control system modifies spray patterns, flow rates, and timing in response to detected airflow variations. This dynamic adaptation maintains optimal spray quality across different operating conditions.
2Manufacturing precision
If the system adjusts nozzle operation parameters in real-time based on airflow data, then spray quality consistency improves, but the complexity of control systems increases
Solution Approach 1:
The control system receives continuous airflow data from detection systems and automatically adjusts nozzle parameters in response. This feedback-driven control eliminates the need for manual intervention while maintaining precise spray application. The system processes airflow measurements and translates them into appropriate nozzle control signals, achieving uniform spray distribution through automated regulation.
Solution Approach 2:
The system replaces manual mechanical adjustment mechanisms with automated electronic control. Instead of physically adjusting nozzle parameters during operation, the system uses electronic sensors and controllers to modify spray characteristics. This substitution reduces the need for complex mechanical adjustment mechanisms while achieving the same or better control precision.
3Productivity
If airflow detection systems are implemented to monitor spray conditions, then application efficiency improves, but the cost and complexity of the system increase
Solution Approach 1:
The system uses airflow detection to enable self-regulation of spray parameters. The detection system monitors conditions and the control system automatically makes adjustments without external intervention. This self-service capability improves application efficiency by ensuring optimal spray delivery under varying conditions while reducing the need for operator involvement in parameter adjustment.
Solution Approach 2:
The airflow detection system serves multiple functions: monitoring environmental conditions, determining spray parameter adjustments, and verifying application quality. By consolidating these functions into a single integrated system, the patent reduces overall system complexity compared to having separate systems for each function. The multi-functional approach improves productivity without proportionally increasing system complexity.
Data Source
AI summary
An agricultural system can include a first nozzle assembly positioned along a boom assembly and configured to selectively dispense an agricultural product therefrom. An airflow detection system can be configured to capture data indicative of one or more airflow sources. A computing system can be communicatively coupled to the first nozzle assembly and the airflow detection system. The computing system can be configured to receive, from the airflow detection system, the data associated with the one or more airflow sources and generate a first nozzle vector for the first nozzle assembly based at least in part on the data from the airflow detection system.