Mobile Ground Hardness Evaluation via Accelerometer Drop Test
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Solution Overview
Problem
Current methods for evaluating ground surface hardness are inefficient and lack comprehensive systems for identifying and addressing undesirable hardness conditions, which can impact safety and maintenance in athletic fields and other surfaces.
Innovation Solution
A system and method using a mobile data collection device with an accelerometer to measure ground surface hardness by dropping a hammer at regular intervals, generating data points, and a computing device to evaluate and prescribe treatments for undesirable conditions, including graphical representation of hardness values on a map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional manual methods are used to evaluate ground surface hardness, then measurement flexibility is maintained, but evaluation efficiency and comprehensiveness deteriorate
Solution Approach 1:
The mobile data collection device integrates multiple functions including accelerometer-based hardness measurement, GPS location tracking, and automated data processing into a single universal platform. This multi-functional system evaluates ground surface hardness across multiple locations simultaneously, dramatically improving productivity while managing complexity through integration rather than separate manual operations
Solution Approach 2:
The system employs automated data collection and processing where the mobile device autonomously navigates to sample locations, collects hardness data using the accelerometer, records GPS coordinates, and processes the information without requiring manual intervention at each measurement point. This self-service capability significantly enhances evaluation efficiency
2Reliability
If ground surface hardness is not evaluated, then maintenance costs are reduced, but safety and playability deteriorate
Solution Approach 1:
The system performs preliminary evaluation of ground surface hardness before damage or safety issues fully develop. By proactively identifying areas with undesirable hardness conditions through automated monitoring, the system enables preventive maintenance that ensures safety and playability while optimizing the timing and allocation of maintenance resources
Solution Approach 2:
The system establishes a feedback loop where hardness data is continuously collected, analyzed, and used to inform maintenance decisions. This feedback mechanism ensures safety by alerting operators to hazardous conditions while optimizing maintenance resource allocation by directing attention only to areas that require intervention based on actual measured conditions
3Measurement precision
If comprehensive hardness evaluation is performed across the entire site, then identification of undesirable regions is improved, but data collection time increases
Solution Approach 1:
The mobile data collection device continuously collects hardness data as it moves through the site, maintaining uninterrupted measurement operations. This continuous data collection approach provides comprehensive coverage of the entire site with precise hardness assessment while minimizing total evaluation time compared to stop-start manual methods, as the system operates continuously during its patrol route
Solution Approach 2:
The system performs rapid preliminary screening of the entire site to identify regions with undesirable hardness conditions. By using automated accelerometer-based measurement and continuous data collection, the system achieves comprehensive assessment precision while reducing the time required compared to traditional manual evaluation methods
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 efficient and accurate assessment of ground surface hardness, identifying regions requiring treatment, and providing targeted solutions to improve safety and playability by correlating hardness with other data such as soil moisture, facilitating effective maintenance.
Implementation Method 1
detecting acceleration of the object with the accelerometer as the object impacts the ground surface at the sample locations
Data Source
AI summary
Evaluating ground surface hardness for a site involves using a mobile data collection device to automatically drop an object including an accelerometer onto a ground surface at sample locations spaced at regular intervals within the site. The acceleration of the object is detected with the accelerometer as the object impacts the ground surface at the sample locations. A value is generated representative of ground surface hardness for each of the sample locations. Evaluation using a handheld hardness measurement device is also disclosed.