煤矿巷道变化的围岩地质条件影响着全断面岩石掘进机(Tunnel Boring Machine，TBM)的推广应用，准确评估煤矿岩体可掘性和岩层TBM适应性对TBM高效施工至关重要。基于对岩体参数和岩体可掘性指标的评价，采用优劣解距离法(TOPSIS)建立了岩体可掘性分级模型，并结合不同地质条件的[BQ]值和TBM利用率的相关性分析，提出了岩层适应性分级模型。以日掘进速度为判断指标，进行岩体可掘性和岩层适应性评估，建立了一套基于TBM施工性能的围岩综合分级方法，采用河南平顶山首山一矿底板瓦斯抽采巷道TBM掘进过程中的工程数据，对TBM围岩综合分级方法进行了现场应用。结果表明：在岩体可掘性等级为Ⅰ级，地层TBM适应性等级为3级的条件下，TBM施工巷道平均月进尺可达到400 m；当TBM利用率不足20%时，极有可能会出现卡机、出渣困难等现场问题。围岩综合分级方法通过利用自动采集的TBM掘进数据和围岩性质的综合分析，能够动态评估TBM在不同围岩地质条件下的施工性能，并为TBM掘进控制参数设计提供了理论依据。

The varying geological conditions of the surrounding rocks of coal mine roadways influence the wide application of full-face rock tunnel boring machines (TBMs). Therefore, accurately assessing the excavatability of rock masses in coal mines and the rock adaptability of TBMs is crucial for the efficient operation of TBMs. Based on the evaluation results of the parameters and excavatability of rock masses, this study built a classification model for rock mass excavatability using the technique for order preference by similarity to ideal solution (TOPSIS). Furthermore, combining the correlation analysis between the [BQ] values of different geological conditions and the utilization ratio of TBMs, this study proposed a classification model for TBM adaptability to rock layers. Moreover, this study evaluated the rock mass excavatability and the rock adaptability of TBMs based on the daily advance rate. Accordingly, it established a comprehensive classification method for surrounding rocks based on TBM performance. As indicated by the field application of this classification method based on the engineering data from the TBM excavation of a gas drainage roadway on the floor in Shoushan Mine No.1, the average monthly footage of the roadway achieved using a TBM could reach 400 m under a rock mass excavatability of Grade I and a rock adaptability of Grade 3. When the utilization ratio of TBM was less than 20%, on-site problems, such as TBM jamming and difficulties with slag discharge, were highly liable to occur. Based on the automatically collected TBM excavation data and the analysis results of surrounding rock properties, the comprehensive classification method for surrounding rocks proposed in this study can dynamically evaluate the performance of TBMs under different geological conditions of surrounding rocks, thus providing a theoretical basis for the design of the tunning control parameters of TBMs.