Research on automatic drawing control system on fully-mechanized coal face with sublevel caving
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摘要: 针对综采放顶煤工作面人工放煤方式生产效率低的问题,研究了一种自动放煤控制系统。在液压支架上安装声波传感器、振动传感器和灰分传感器,通过人工示范操作和机器学习记忆传感器信号,确定放煤过程结束时传感器信号特征波形,比对采集的振动感知信号、声音感知信号与特征信号的相似度;通过灰分传感器有效辨识采出顶煤的含矸率;根据相似度和含矸率作出预警或直接控制。该系统实现了以传感器感知控制为主、时间控制为保护值、地面调度室远程干预控制为辅的自动化放煤控制,提高了综采放顶煤工作面的自动化水平和生产效率。Abstract: In view of problem of low production efficiency of artificial drawing method on fully-mechanized coal face with sublevel caving, an automatic drawing control system was studied.Sonic sensors, vibrating sensors and ash sensors are installed on hydraulic supports. Through artificial demonstration operation and machine learning to memory sensor signals, sensor signal characteristic waveform during the end of drawing process is determined, and the similarity between collected vibration sensing signal, sound sensing signal and the characteristic signal is compared; the ash sensor is used to effectively identify inclusion rate of caved top coal. According to the similarity and inclusion rate, the system execute early warning or direct control to realize automatic drawing control which taking sensor-based sensing control as main control, time control as protection value, and remote intervention control as auxiliary control. The system improves automation level and production efficiency of fully-mechanized coal face with sublevel caving.
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