CPC G06T 7/001 (2013.01) [G06N 3/08 (2013.01); H04N 5/38 (2013.01); E21B 41/00 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30164 (2013.01)] | 23 Claims |
1. A method comprising:
receiving, by a computer system configured to implement a machine learning model, a video of a visible state of a component of a generator, the generator powering at least a portion of a rig equipment system at a wellsite;
determining, by the computer system, an operational parameter based on the visible state of the component of the generator imaged in the video, the determining the operational parameter comprises:
receiving, by the machine learning model, training data comprising historical images of the visible state of the component of the generator and historical measured operational parameters;
correlating, by the machine learning model, the historical images with corresponding historical measured operational parameters; and
determining, by the machine learning model, the operational parameter based on a comparison of the video of the visible state with the historical images; and
transmitting, by the computer system, the operational parameter to an output device.
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