首页|Improving coal/gangue recognition efficiency based on liquid intervention with infrared imager at low emissivity
Improving coal/gangue recognition efficiency based on liquid intervention with infrared imager at low emissivity
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NSTL
Elsevier
Accurate recognition of coal and gangue is the core technology to realize intelligence in fully mechanized top coal caving mining. The influence of emissivity of the thermal imager on the efficiency of the coal/gangue recognition is considered in this paper. The temperature of coal and gangue are measured by the infrared thermal imager with different emissivity. The results show that: compared with high emissivity, low emissivity conditon can enlarge the measured temperature difference between coal and gangue, which will improve the recognition efficiency greatly. The maximum temperature difference reaches 4.5 degrees C-4.8 degrees C in liquid intervention experiment with low emissivity (epsilon = 0.1-0.3). Setting the emissivity of infrared thermal imager at a low level may be a new approach to widen the temperature difference between coal and gangue, which will improve the recognition efficiency greatly. When epsilon = 0.3, the maximum temperature difference ratio reaches 9.0, which shows the best potential for improving coal/gangue recognition efficiency with infrared thermal imager at low emissivity.
Top coal caving miningCoalgangue recognitionThermal imagerEmissivityLiquid interventionTemperature differenceCOALIDENTIFICATIONTEMPERATUREGANGUESYSTEM
NSTL
Elsevier
