Agricultural Sprayer Controller for Drift Reduction
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Solution Overview
Problem
Agricultural sprayer machines face challenges in maintaining optimal system pressure to ensure effective pesticide application and minimize drift, particularly when operating in varying conditions and compliance with different drift reduction classes, which can be cumbersome for operators due to the need for precise monitoring and nozzle selection.
Innovation Solution
An electronic controller system that stores and manages operating parameters for multiple drift reduction classes, allowing for controlled pump operation, nozzle selection, and vehicle speed adjustment to maintain pressure within specified limits, ensuring efficient application and reduced drift.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the system pressure is increased to deliver better surface coverage and greater pesticide efficacy, then the droplet size becomes finer and surface coverage improves, but the drift vulnerability increases
Solution Approach 1:
The system dynamically changes the operating pressure parameter based on selected drift reduction class. When a stricter drift reduction class is selected, the controller limits the maximum operating pressure to values that prevent drift while maintaining adequate coverage. This resolves the contradiction by making pressure a variable parameter rather than a fixed high value.
Solution Approach 2:
The system transitions from static pressure operation to dynamic pressure control where the maximum pressure is adjusted based on the selected drift reduction class. The controller continuously monitors and adjusts pressure within allowed ranges, enabling the system to adapt to different drift risk scenarios while maintaining coverage effectiveness.
2Reliability
If the operator manually monitors and adjusts pressure to meet drift reduction class requirements, then compliance with drift reduction classes is achieved, but the operational complexity and monitoring burden increases
Solution Approach 1:
The system performs self-monitoring and self-adjustment of pressure to ensure drift reduction class compliance. The controller automatically reads pressure sensor data, compares it against the maximum allowed pressure for the selected drift reduction class, and activates alerts or controls when limits are approached or exceeded, eliminating the need for manual operator monitoring.
Solution Approach 2:
The system implements a feedback loop where the controller continuously receives pressure data from sensors, processes it against drift reduction requirements, and provides real-time feedback through operator alerts or automatic pressure control. This closed-loop feedback ensures compliance while reducing operator burden by automating the monitoring and adjustment process.
3Adaptability or versatility
If multiple nozzle sets with different pressure ranges are provided to cater for different drift reduction classes, then the adaptability to different conditions is improved, but the device complexity and nozzle selection burden increases
Solution Approach 1:
The system makes the fluid delivery network and existing nozzles multi-functional by enabling them to operate across different pressure ranges through electronic control. Rather than requiring physically different nozzle sets for different drift reduction classes, the controller electronically adjusts pressure parameters to achieve compliance with various drift reduction requirements using the same hardware infrastructure.
Solution Approach 2:
The system resolves the need for multiple nozzle sets by changing the operating pressure parameter dynamically. Each drift reduction class is associated with specific pressure ranges, and the controller adjusts the operating pressure within these ranges to achieve compliance. This parameter-based approach eliminates the need for multiple physical nozzle configurations.
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
The system simplifies the operation of agricultural sprayer machines by automatically selecting the appropriate nozzle settings and speed limits, ensuring compliance with drift reduction requirements and optimizing pesticide application, thereby enhancing application efficiency and reducing drift.
Implementation Method 1
The fluid delivery network operates at a variable system pressure to create an expulsion force for the liquid
Implementation Method 2
The liquid is typically atomized by the nozzle and applied to the crop in a jet of mist
Implementation Method 3
One approach for reducing drift includes air induction nozzles which use the venturi effect to introduce air into the spray droplets as the liquid is forced through the nozzle
Data Source
AI summary
An agricultural sprayer has a fluid delivery network that supplies one or more sets of spaced-apart nozzles for the application of plant protection products. An electronic controller is arranged to receive and store an operating parameter for each one of a plurality of drift reduction classes. The operating parameter may be an upper pressure limit. The controller is operable to control at least one of a pump, a vehicle speed, a nozzle selection, and a display based on the operating parameter of a selected one of the plurality of drift reduction classes.