US 12,442,772 B1
Wheeled soil analysis analyzer for soil compressive strength
Yakubu Sani Wudil, Dhahran (SA); Mohammed A. Al-Osta, Dhahran (SA); Omar S. Baghabra Al-Amoudi, Dhahran (SA); Muhammad A. Gondal, Dhahran (SA); and Osama Atef Al Najjar, Dhahran (SA)
Assigned to KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS, Dhahran (SA)
Filed by KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS, Dhahran (SA)
Filed on Jun. 18, 2025, as Appl. No. 19/242,739.
Application 19/242,739 is a continuation of application No. 18/485,748, filed on Oct. 12, 2023, granted, now 12,360,048.
Int. Cl. G01N 21/71 (2006.01); G01N 21/25 (2006.01); G01N 33/24 (2006.01); G01N 21/03 (2006.01)
CPC G01N 21/718 (2013.01) [G01N 21/255 (2013.01); G01N 33/24 (2013.01); G01N 2021/0339 (2013.01); G01N 2201/06113 (2013.01); G01N 2201/0697 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A wheeled soil analysis device for analyzing a soil sample, comprising:
an elongated housing having a handle at an upper end and a plurality of wheels mounted on an axle at a lower end,
an auger mounted on a front side of the elongated housing,
a sample holder configured to receive a soil sample, wherein the sample holder has a defined volume and is positioned to receive the soil sample from the auger;
a heating device configured to dry the soil sample for a specified time;
a scale connected to the sample holder, wherein the scale is configured to measure an undried weight of the soil sample and a dried weight of the soil sample;
a spectrometer configured to perform laser induced breakdown spectroscopy on the soil sample and generate spectral emission intensities of the soil sample;
a display screen;
a power source;
a microprocessor connected to the scale, the heating device, the spectrometer, the display screen and the power source, wherein the microprocessor includes circuitry, one or more processors, a memory storing programming instructions stored therein that, when executed by the one or more processors, cause the one or more processors to:
calculate a bulk density of the soil sample;
calculate a water content of the soil sample;
actuate the spectrometer to perform laser induced breakdown spectrometry on the soil sample and generate the spectral emission intensities;
apply the spectral emission intensities, the bulk density and the water content of each soil sample as input features to a trained decision tree regressor combined with an adaptive boosting classifier;
predict an unconfined compressive strength of the soil sample; and
display the unconfined compressive strength, the bulk density, the water content and the spectral emission intensities of the soil sample on the display screen.