Agricultural Spray Quality Index Calculation
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Solution Overview
Problem
Existing agricultural spray systems lack effective monitoring and control mechanisms to ensure consistent and high-quality application of agricultural products during spray operations, leading to potential misapplications and reduced efficiency.
Innovation Solution
The implementation of a system that includes sensors to monitor application variables such as nozzle size, agricultural product flow rate, and environmental conditions, coupled with a controller that calculates a spray quality index and adjusts vehicle components to maintain optimal application conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If spray operations are performed without monitoring and control mechanisms, then operational simplicity is maintained, but spray application quality and consistency deteriorate
Solution Approach 1:
The system employs sensors to monitor application variables (flow rate, pressure, speed) and feeds this data back to a controller that calculates a spray quality index. This closed-loop feedback mechanism enables real-time quality assurance without requiring complex manual intervention, resolving the contradiction between improved precision and increased complexity by automating the monitoring process.
Solution Approach 2:
The patent replaces manual monitoring and adjustment mechanisms with electronic sensors and a controller system. Instead of mechanical gauges and manual adjustments, the system uses electronic sensing of flow rate, pressure, and vehicle speed, processed by a controller that automatically calculates spray quality, thereby improving precision while keeping the added complexity manageable through electronic automation.
2Measurement precision
If multiple application variables are monitored simultaneously, then spray quality assessment accuracy is improved, but measurement and data processing complexity increases
Solution Approach 1:
The system merges multiple measurement functions into a single integrated controller that receives data from various sensors (flow rate sensor, pressure sensor, speed sensor) and combines them into one unified spray quality index calculation. This consolidation improves assessment accuracy by considering multiple variables while reducing the complexity of separate monitoring systems by integrating data processing in one location.
Solution Approach 2:
The controller serves multiple functions: it receives data from multiple sensor types, calculates the spray quality index, compares it against target ranges, and can trigger alerts or adjustments. This multi-functional approach allows accurate monitoring of multiple application variables while avoiding the need for separate dedicated systems for each measurement task.
3Stability of the object's composition
If real-time monitoring and adjustment systems are implemented, then spray application consistency is improved, but energy consumption and system complexity increase
Solution Approach 1:
The system implements partial monitoring by focusing on the key variables that most significantly impact spray quality (flow rate, pressure, speed) rather than attempting to monitor all possible parameters. The controller calculates a spray quality index based on these critical factors, achieving improved consistency while minimizing energy consumption by only actively processing essential data rather than continuously analyzing all operational parameters.
Data Source
AI summary
An agricultural application system can include a nozzle assembly positioned along a boom assembly and can be configured to selectively dispense an agricultural product therefrom. One or more sensors can be operably coupled with the boom assembly and configured to capture data associated with first and second application variables. A controller can be communicatively coupled to the one or more sensors. The controller can include a processor and associated memory. The memory can store instructions that, when implemented by the processor, configure the controller to receive the data associated with the one or more application variables and calculate the spray quality index. The first application variable can have a first scaling factor and a second application variable can have a second scaling factor. The second scaling factor may differ from the first scaling factor.