Experimental study on coal rock recognition based on infrared thermal imaging and vibration signals

Abstract

In response to the difficulties in practical application, susceptibility to signal interference, high cost, and complex implementation of existing coal rock recognition technologies, this paper theoretically analyzes the relationship between coal rock cutting heat production and coal rock hardness. The paper proves the rationality of using infrared thermal imaging to obtain cutting temperature changes for coal rock recognition. A coal rock cutting test bench is built for roadheader. Long-term cutting tests are conducted on ordinary coal seams, coal rock interfaces, and sandstone layers with different hardness. The cutting temperature and vibration signals of the cutting head are obtained through infrared thermal imaging and vibration sensors, and their change patterns are analyzed. The research results indicate the following points. ① As the cutting time increases, the cutting temperature gradually increases. The higher the hardness of coal rock, the higher the cutting temperature, and the faster the rate of increase in cutting temperature. At the initial stage of cutting, coal and rock cannot be recognized by cutting temperature, but during stable cutting, coal and rock can be recognized based on cutting temperature features. ② The vibration intensity of the cutting head increases with the increase of coal rock hardness, but does not show a significant change with the increase of cutting time. Therefore, it can compensate for the lack of recognition of coal rock through cutting temperature at the beginning stage of cutting. ③ Accurate recognition of coal and rock cannot be achieved through a single cutting temperature or vibration intensity. Therefore, coal and rock can be recognized through vibration intensity during the initial cutting stage and frequent flash temperatures. In the stable cutting stage, coal and rock can be recognized through temperature obtained from infrared thermal imaging.

Abstract

摘要：针对现有煤岩识别技术存在的难以实际应用、易受信号干扰、成本高和实现复杂等问题, 通过理论分析 煤岩截割产热与煤岩硬度的关系, 证明通过红外热像获取的截割温度变化来进行煤岩识别的合理性;搭建了掘进 机截齿截割煤岩试验台, 对不同硬度的普通煤层、煤岩交界处及中砂岩层进行长时间截割试验, 通过红外热像仪 和振动传感器分别获取截割温度和截割头振动信号并分析其变化规律。研究结果表明： ①随着截割时间增加, 截割温度逐渐升高；煤岩硬度越高, 截割温度越高, 且截割温度上升速率越快;在截割起始阶段无法通过截割温度 识别煤岩, 但在稳定截割时可根据截割温度特性识别煤岩。 ②截割头振动强度随着煤岩硬度增大而变大, 但不 随截割时间增加而产生明显变化, 因此可弥补在截割起始阶段无法通过截割温度识别煤岩的不足。 ③通过单一 截割温度或振动强度不能对煤岩进行准确识别, 因此可在截割起始阶段和频繁出现闪温时通过振动强度来识别 煤岩, 而在截割稳定阶段通过红外热像获取的温度来识别煤岩。