IP Library Granted Patent US 9,222,866
Granted Patent B2
US 9,222,866 · App. 13/409,979 · Granted Dec 29, 2015

Evaluation of ground surface hardness

Inventors: Van Willis Cline (St. Paul, MN); Kathleen Sue Rice (Faribault, MN); Troy David Carson (Richfield, MN)
Assignee: The Toro Company
G01N3/40G01N3/303G01N33/24
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Quick Facts
Patent No.
US 9,222,866
App. No.
13/409,979
Granted
Dec 29, 2015
Kind
B2
Abstract

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.

Claims (68)

1. A method of evaluating ground surface hardness for a site, the method comprising:

collecting acceleration data using a ground surface hardness measurement device including a movable sensor by dropping the movable sensor onto a ground surface at sample locations within the site;

generating a plurality of values, each value representative of ground surface hardness for each of the sample locations based on the acceleration data;

generating, using at least one computing device, a single score for at least a portion of the site based at least in part upon the plurality of values for the sample locations, the single score at least partially representative of a ground surface hardness of the at least a portion of the site; and

segmenting the site into at least two regions, including at least one higher activity region and at least one lower activity region; and

weighting the values representative of ground surface hardness for the at least one higher activity region more heavily than the values for the at least one lower activity region, wherein generating the single score uses the weighted values.

2. The method of claim 1 , wherein generating, using at least one computing device, a single score comprises generating a single numerical score for each of the at least one higher activity region and the at least one lower activity region based at least in part on maximum acceleration values of the site locations within the respective regions.

3. The method of claim 1 , further comprising:

evaluating the values representative of ground surface hardness at the sample locations to identify at least one region of the site having an undesirable ground surface hardness condition; and

prescribing a treatment for the undesirable ground surface hardness condition at the at least one region.

4. The method of claim 1 , wherein the value representative of ground surface hardness is maximum acceleration detected during the impact of the movable sensor with the ground surface.

5. The method of claim 4 , wherein generating the single score comprises generating a single numerical score for the at least a portion of the site based at least in part on at least some of the maximum acceleration values.

6. The method of claim 1 , wherein generating a single score comprises:

generating hardness uniformity component scores;

generating excessive hardness component scores;

generating borderline hardness component scores; and

computing the single score based at least in part upon the hardness uniformity component scores, the excessive hardness component scores, and the borderline hardness component scores.

7. The method of claim 6 , further comprising generating a scorecard for the site, the scorecard including at least the component scores and the single score.

8. The method of claim 1 , wherein the single score indicates a percentage of the area of the site that has a ground surface hardness value that exceeds a ground surface hardness threshold.

9. The method of claim 8 , wherein generating, using at least one computing device, the single score for the site comprises:

determining, the at least one computing device, the ground surface hardness threshold;

comparing, using the at least one computing device, the values for the sample locations with the ground surface hardness threshold value; and

generating, using the at least one computing device, the single score for the site based at least in part upon the comparison.

10. The method of claim 1 , wherein the single score indicates a hardness uniformity of the at least portion of the site.

11. The method of claim 10 , wherein generating, using at least one computing device, the single score comprises:

determining, using the at least one computing device, a maximum standard deviation and a minimum standard deviation;

calculating, using the at least one computing device, a standard deviation of the values for the sample locations;

comparing, using the at least one computing device, the standard deviation of the values with the maximum and minimum standard deviations; and

generating, using the at least one computing device, the single score for the site based at least in part upon the comparison.

12. The method of claim 1 , further comprising:

generating a map display with a computing device, the map display graphically displaying the values representative of the ground surface hardness at the sample locations.

13. The method of claim 12 , wherein the map display includes graphical elements, wherein the graphical elements visually indicate a magnitude of the values representative of the ground surface hardness at the sample locations.

14. The method of claim 12 , wherein the map display further depicts interpolated ground surface hardness data.

15. A method of evaluating ground surface hardness for a site, the method comprising:

collecting acceleration data using a ground surface hardness measurement device including a moveable sensor by dropping the movable sensor onto a ground surface at sample locations;

generating a plurality of values, each value representative of ground surface hardness for each of the sample locations based on the acceleration data; and

generating, using at least one computing device, a single score for at least a portion of the site based at least in part upon the plurality of values for the sample locations, the single score at least partially representative of a hardness uniformity of the at least a portion of the site, wherein generating the single score for the site comprises:

determining, using the at least one computing device, a maximum standard deviation and a minimum standard deviation;

calculating, using the at least one computing device, a standard deviation of the values for the sample locations;

comparing, using the at least one computing device, the standard deviation of the values with the maximum and minimum standard deviations; and

generating, using the at least one computing device, the single score for the at least a portion of the site based at least in part upon the comparison.

16. A method of evaluating ground surface hardness for a site, the method comprising:

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;

detecting acceleration of the object with the accelerometer as the object impacts the ground surface at the sample locations;

generating a value representative of ground surface hardness for each of the sample locations, wherein the value representative of ground surface hardness is a maximum acceleration detected during the impact of the object with the ground surface;

generating a single numerical score for the site based at least in part on at least some of the maximum acceleration values;

segmenting the site into at least two regions, including at least one higher activity region and at least one lower activity region; and

weighting the values representative of ground surface hardness for the at least one higher activity region more heavily than the values for the at least one lower activity region, wherein generating the single numerical score uses the weighted values.

17. The method of claim 16 , further comprising generating a single numerical score for each of the at least one higher activity regions and the at least one lower activity regions based at least in part on maximum acceleration values of the site locations within the respective regions.

18. A method of evaluating ground surface hardness for a site, the method comprising:

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;

detecting acceleration of the object with the accelerometer as the object impacts the ground surface at the sample locations;

generating a value representative of ground surface hardness for each of the sample locations, wherein the value representative of ground surface hardness is a maximum acceleration detected during the impact of the object with the ground surface; and

generating a single numerical score for the site based at least in part on at least some of the maximum acceleration values, wherein generating the single numerical score for the site comprises:

generating hardness uniformity component scores;

generating excessive hardness component scores;

generating borderline hardness component scores; and

computing the single numerical score based at least in part upon the hardness uniformity component scores, the excessive hardness component scores, and the borderline hardness component scores.

19. The method of claim 18 , further comprising generating a scorecard for the site, the scorecard including at least the component scores and the single numerical score.

20. A method of evaluating ground surface hardness for a site, the method comprising:

collecting acceleration data using a ground surface hardness measurement device including a movable sensor by dropping the movable sensor onto a ground surface at sample locations within the site;

generating a plurality of values, each value representative of ground surface hardness for each of the sample locations based on the acceleration data; and

generating, using at least one computing device, a single score for at least a portion of the site based at least in part upon the plurality of values for the sample locations, the single score at least partially representative of a ground surface hardness of the at least a portion of the site, wherein generating a single score comprises:

generating hardness uniformity component scores;

generating excessive hardness component scores;

generating borderline hardness component scores; and

computing the single score based at least in part upon the hardness uniformity component scores, the excessive hardness component scores, and the borderline hardness component scores.

21. The method of claim 20 , further comprising generating a scorecard for the site, the scorecard including at least the component scores and the single score.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 17, 2012
From: CLINE, VAN WILLIS; RICE, KATHLEEN SUE; CARSON, TROY DAVID
To: THE TORO COMPANY
Reel/Frame 028223/0825 →
Continuity (2)
Provisional Application 61447813 · Mar 1, 2011
Related Publication 20130055797A1 · Mar 7, 2013