煤岩界面识别是实现无人采煤的关键技术之一。
The identification of the coal and rock interface would be one of the keys to have an unmanned coal mining.
针对目前存在的问题，提出了基于多传感器管理的煤岩界面识别方法。
For the current existing problems, the method of coal-rock interface recognition based on multi-sensor management was proposed.
本文对基于有限元动力学分析的煤岩界面识别的多传感器优化布置及管理算法进行了研究。
This paper has mainly studied the optimal sensor placement and management algorithm of coal-rock interface recognition based on finite element dynamic analysis.
煤岩界面识别的基本原理是利用多类型传感器拾取采煤机截割力响应信号并对这些信息进行分析而识别煤岩界面。
The principle of coal-rock interface recognition is to pick up the response signals of cutting force of shearer by multi-sensor and process these data to achieve state of cutting coal or rock.
基于多传感器数据融合的煤岩界面状态识别的方法是可行的。
The method of CIR based on multi-sensor data fusion technique is feasible and more reliable.
基于多传感器数据融合的煤岩界面状态识别的方法是可行的。
The method of CIR based on multi-sensor data fusion technique is feasible and more reliable.
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