摘要
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 and 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 personnel 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 interface identified method.The paper provided the coal and rock interface identified method based on the visible light image and infrared image identification.The color,grey 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 identified method integrated with multi information based on the image identification.
出处
《煤炭科学技术》
CAS
北大核心
2011年第2期77-79,共3页
Coal Science and Technology
基金
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)
关键词
煤岩界面识别
图像识别
信息融合
无人工作面
信息化
自动化
identification of coal and rock interface
image identification
information integration
unmanned coal mining face
informatization
automation
