In this study, laboratory experiments are conducted to simulate the rockburst of granitic roadway. The obtained parameters of acoustic field and infrared temperature field are normalized based on linear function transformation. The evolution characteristics of each parameter on the same scale is also analyzed according to the original curves. Thus the precursor of granite rockburst around roadway is investigated comprehensively. The results show that there are four suitable parameters, i,e,, the acoustic emission event rate, acoustic emission energy rate, the highest temperature and the lowest temperature of infrared radiation, used to predict rockburst. When all parameters during the rockburst are normalized, the precursor can be identified more quickly and efficiently under the unified scale. An early warning sign of rockburst occurring is referred to the accelerated release of acoustic emission energy. The relative calm period of acoustic emission is a critical period, in which the methods to control rockburst-induced disaster are taken. When the lowest radiation temperature suddenly decreases and the highest radiation temperature sharply increases, as the sign of rockburst, the rockburst may occur at any time. Experimental results provide a new method and basis for predicting rockburst disaster.