the relationship between IR, AE, and coal mass damage and failure precursors is of great significance for the IR and AE comprehensive monitoring of rock bursts. The IR method for coal rock offers the advantages of intuitive images, real-time monitoring, and non-contact, and it has been successfully applied to monitor coal mass damage and failure [9; 10]. The IR of coal rock is mainly caused by the temperature changes resulting from crack propagation effect, friction effect, and thermoelastic effect [11; 12; 13; 14]. In general, coal rock shear failure and internal friction effects typically result in an increase in IRT [15], while tensile failure generally leads to a decrease in IRT [16]. Currently, extensive research has been conducted on the IR characteristics of coal rock failure, the influence of fracture modes on IR, IR signal denoising, the quantitative relationship between IR and coal rock damage, and IRT and area precursor indicators [17; 18; 19; 20], and certain results have been achieved. [PERSON] et al. [21] employed IR experiments and particle flow PFC2D simulation methods to investigate the influence of the degree of damage on the IRT variation in the coal. Before the coal instability, the IRT of the coal with greater strength exhibited a sudden increase, whereas the IRT of the coal with less strength initially decreased and then increased. [PERSON] et al. [22] studied the IRT variation in sandstone failure under both uniaxial and shear loading modes and found that the AIRT increased during shear failure and the AIRT decreased during tensile failure. [PERSON] et al. [23] established a quantitative relationship between coal rock damage microelement failure and IR parameters and quantitatively characterized coal rock damage using IR parameters. Impact-prone coal fails more rapidly than non-impact coal, the precursor characteristics are more inconspicuous, and the prediction of rock bursts is more difficult [24; 25; 26]. Therefore, the damage status and instability IR precursor characteristics of different coal impact types need to be revealed. The AE signal, which contains abundant information on coal failure [27; 28; 29], is widely used in monitoring coal damage and rock bursts. The AE time series and frequency domain distribution correspond to the damage state and fracture scale of the coal rock [30; 31]. Before the failure of the coal, the AE time series signals (count, energy, amplitude) rapidly increases and the main frequency rapidly decreases. The spatial location of the AE corresponds to the damage and fracture location of the coal mass. In the concentrated area of the coal rock fracture, the AE positioning points are dense and have high energy. Recently, some scholars have used the RA-AF characteristics of the AE to predict the fracture modes of coal and rock at different stages [32; 33; 34]. Tensile failure AE signal duration and rise time are short, AF value is high, and RA value is low, while the shear crack AE signal duration and rise time are long [35]. In coal and rock disaster monitoring, the combined IR and AE method is helpful to accurately and effectively analyze the damage and failure state of the coal mass. [PERSON] et al. [36] used the impact number of the AE and IR change rate to classify the stages of sandstone crack evolution, thereby identifying high- and low-damage zones in the sandstone. [PERSON], [PERSON] et al. [37; 38] found that the AE appeared later than the IR signals. Combining AE and IR monitoring can avoid the lag of the AE and the spatial limitations of IR. Currently, the comprehensive monitoring of IR and AE mainly focuses on the same type of coal, and there is little research on the relationship between the IR, AE, and damage status and instability precursors of different impact types of coal bodies. This paper intends to establish a coupling monitoring method between the IR and AE, fully utilizing their respective advantages, namely non-contact and contact monitoring, surface monitoring, and point monitoring methods.