Turf Analysis Device for Objective Quality Assessment
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Solution Overview
Problem
Conventional golf course maintenance lacks objective, standard, or measurable indicators for determining turf quality, relying heavily on years of trial and error and subjective 'feel' for groundskeepers, which can vary significantly between courses and individuals.
Innovation Solution
A turf analysis device and system that collects data on factors like moisture content, conductivity, salinity, and temperature using multi-parameter sensors, integrating this data with GPS and cloud-based analytics to calculate Turf Performance Indicators (TPI) and Turf Stress Indicators (TSI), providing a standardized and repeatable assessment of turf quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional trial and error experience is used to determine turf quality, then groundskeepers can develop a subjective feel for the turf, but the assessment lacks objectivity and consistency across different courses and individuals
Solution Approach 1:
The patent replaces the subjective mechanical assessment method (groundskeeper's manual evaluation and feel) with an automated electronic measurement system using multi-parameter sensors that objectively measure turf conditions including moisture content, electrical conductivity, salinity, and temperature, eliminating variability between different assessors
Solution Approach 2:
The system enables self-assessment of turf quality through automated data collection and processing, where the sensors and computing devices independently measure and analyze turf conditions without requiring expert human intervention, making the assessment process accessible and consistent across different locations
2Reliability
If multiple factors are monitored to determine turf quality, then a more comprehensive assessment can be achieved, but the complexity of data collection and analysis increases
Solution Approach 1:
The patent combines multiple measurement functions (moisture sensing, electrical conductivity measurement, salinity detection, temperature monitoring) into a single integrated turf analysis device that collects all necessary data simultaneously, reducing the complexity of managing separate measurement systems while improving assessment reliability through comprehensive multi-parameter monitoring
Solution Approach 2:
The system employs a universal data processing platform that handles multiple types of sensor data (moisture, EC, salinity, temperature) through a single computing device that performs standardized analysis algorithms, enabling the system to reliably assess various turf conditions without requiring separate analysis methods for each parameter
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
Enables groundskeepers to objectively assess and improve turf quality by providing actionable data for specific factor-based solutions, ensuring consistent and optimal turf conditions across different locations and over time, enhancing the overall playing experience.
Implementation Method 1
A turf analysis device and system that collects data on factors like moisture content, conductivity, salinity, and temperature using multi-parameter sensors
Data Source
AI summary
System and method for quantifying qualitative turf conditions as they relate to turf performance and health. In an embodiment, data is collected about turf condition using a turf analysis device. The data collected about the conditions may be used to generate condition-based turf stress indexes that may be used to generate an overall a Turf Performance Indicator (TPI). Such collections are calculated through a unique quantitative mathematical equation resulting in a measurable quotient that is used to assess overall turf performance qualities on a relative scale over time. Using an integrated Global Positioning System (GPS), the TPI measurements can be used to identify overall property conditions and zone specific conditions within that property. Such analysis is viewed with visual analysis methods using a cloud based system.