Abstract: Abstract: Rock burst is one of the most serious coal mine dynamic disaster, which restricts the efficiency of coal mine safety production. The effective prediction of rock burst risk is essential to prevent rock burst. Seismic computed tomography technology provides an efficient way to predict rock burst by inversing stress distribution in mining area. Taking rock burst prediction during the driving of No.9 coal seam auxiliary transport rise in south No.2 mining block of Sanheijian Mine as example, the high stress and high stress gradient area corresponding to the impact of the risk was obtained by seismic computed tomography technology to analyze of wave velocity distribution before driving. Driving process reflects the accuracy of prediction and specific risk relief measures was adopted to ensure the safety of the roadway driving. Seismic computed tomography technology is used to inverse velocity distribution in relief region again after driving. The results show that region velocity reduced, and the high stress and high stress gradient get eliminated in the area by taking pressure relief measurement, which means rock burst risk get controlled effectively.