摘要
在煤矿运输领域的钢绳芯带式输送机的安全监管背景下,接头抽动情况是需要引起警惕的征兆。通过引入基于ART算法的时序数据挖掘技术,对现场传感器数据的采集、整理,对如何进行系统建模进行了研究,建立了符合数据挖掘要求的数学模型,证明了将基于ART的数据挖掘技术引入当前钢绳芯输送带安全监管领域的可行性。本系统具有预测带式输送机的未来运行情况的功能。
In the safety supervision of steel cord belt conveyor which is widely used in the field of coal mining, spice twitching is a symptom which needs to care about. Gathering, trimming the sensor＇s data from the workshop, and studying how to construct the system model, it is possible to build the fight mathematic model which is suitable for the data mining, by applying the time-series data mining technology which is based on the ART arithmetic, so it is proving the feasibility of importing the data mining technology, which is based on ART, to the current supervision of steel cord belt conveyor. The system can predict the future situation in the process of conveyor＇ s running.
出处
《煤矿机械》
北大核心
2010年第1期198-200,共3页
Coal Mine Machinery
