采掘工作面是煤矿事故多发地点。减少煤矿采掘工作面作业人员既是煤矿安全生产的需要,又是减轻作业人员劳动强度和改善作业环境的需要。煤岩界面识别是实现无人采煤的关键技术之一。研究了用于无人采煤工作面等的煤岩界面识别方法,指出了现有煤岩界面识别方法存在的问题。提出了基于可见光图像和红外图像识别的煤岩界面识别方法:提取色彩、灰度、纹理、形状等图像特征,进行煤岩界面识别。并提出了基于图像识别的多参数信息融合煤岩界面识别方法。

The mining and excavation faces are the places of many mine accidents occurred often.The operation personnel numbers to be reduced in the mining an d excavation faces of the mine would be the requirements of the mine safety production and would be the requirements to reduce the labor intensity of the operation per sonnel and to improve the operation environment.The identification of the coal and rock interface would be one of the keys to have an unmanned coal mining.The paper had a study on the unmanned coal mining face and the coal and rock interface identified method and pointed out the problems existed in the present coal and rock inter face identified method.The paper provided the coal and rock interface identified method based on the visible light image and infrared image identification.The color, gre y scale, grain, shape and other image features should be extracted for the coal and rock interface identification.The paper provided the coal and rock interface identifie d method integrated with multi information based on the image identification.

国家自然科学基金资助项目(51074169)；教育部博士点基金资助项目(200802900008,20090023110008)；