Loading patent…
AssigneeThe United States of America as represented by the Department of Health and Human Services
InventorWalter K. Utt
Estimating the term…
A method and system for determining the relative strength and classification of rock strata in near real-time during drilling operations is provided for use in underground mines. Neural network technology is used to classify mine roof strata in terms of, for example, relative strength or strength index as the roof bolt hole is being drilled (i.e., in near real-time). Measurements taken while a layer of the rock strata is being drilled are used to compute the specific energy input and convert these data to suitably scaled features. A neural network is then used to classify the strength of the layer. The neural network can be trained using data of known rock strata classifications prior to using it to classify new measurements. The present system allows for detection of unsafe conditions within the rock strata being drilled, and allows appropriate warnings to be issued in near real-time so that appropriate actions can be taken.
A method for determining and analyzing, in near real-time, the relative strength of rock strata during drilling operations in an underground mine, said method comprising
A method for determining and analyzing, in near real-time, the relative strength of rock strata during drilling operations, said method comprising
A system for determining and analyzing, in near real-time, the relative strength of rock strata during drilling operations in an underground mine, said system comprising
A method for presenting stability data for rock strata during mining operations via a plurality of sensory monitoring the mining operations and a trained neural network, the method comprising:
Dependencies are inferred from the claim text.