Research and application of microseismic source location based on improved dung beetle optimization algorithm

The primary task of microseismic monitoring is to locate the microseismic source quickly and accurately. Improving the accuracy and efficiency of microseismic source location is an urgent problem to be solved. In this paper, an improved dung beetle optimization algorithm is proposed to directly solve the source parameters of the microseismic source location method. This method gives full play to the global optimization ability of the dung beetle optimization algorithm, and overcomes the problem of uneven distribution of the initial population of the dung beetle optimization algorithm and the disadvantage that the algorithm easily falls into local optimum due to the weak parameter adaptive ability. Through the field test of a gold mine in Inner Mongolia, the effectiveness of the algorithm is verified. In the monitoring range of about 1000 m long and 300 m wide, the positioning accuracy reaches 10 m, which has a good application prospect in the field of high-precision microseismic monitoring of mine ground pressure.