Measurement and perception of the rock strength by energy parameters during the drilling operation

To solve the problem of long periods and the high cost of conventional uniaxial compressive strength (UCS) measurement, the concept of power flow is introduced and a UCS sensing method based on energy parameters is proposed. The feasibility of the proposed method was verified by Ls-Dyna. The drilling test of rocks with different strengths is carried out by using the digital drilling test system, and the maximum, minimum, mean, and variance of energy parameters were extracted to construct the feature vector. The relationship model between energy parameters and UCS was established based on the GWO-SVM. The results show that the greater the UCS, the greater the energy consumed by rock drilling. The perception accuracy of the GWO-SVM model is the highest, which is 91.67%. Compared with other input features and traditional sensing methods, the perception accuracy is improved by at least 2.78%, which verifies the advancement of the proposed method.