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Process-Oriented Approach for Analysis of Sensor Data from Longwall Monitoring System

机译:用于分析来自LongWALL监控系统的传感器数据的过程导向方法

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In the paper we address possibility of industrial process analysis based on sensor data with the use of process-oriented analytic techniques. We propose in this area usage of process mining techniques. Important issue in the context of usefulness of industrial sensor data gathered in the monitoring systems for process analysis is proper level of abstraction of an event log. We present our approach requiring creation of high-level event logs based on low-level events from longwall monitoring system in order to model and analyse the mining process in an underground mine. We use combination of unsupervised data mining techniques as well as domain knowledge to discover stages in an example process and create an event logs for further process analysis.
机译:在论文中,我们通过使用以过程导向的分析技术来解决基于传感器数据的工业过程分析的可能性。我们提出了该领域使用过程采矿技术。在流程分析监测系统中收集的工业传感器数据的有用性的重要问题是事件日志的适当抽象水平。我们提出了我们的方法,需要基于来自LongWALL监控系统的低级事件创建高级事件日志,以便在地下矿井中进行建模和分析采矿过程。我们使用无监督数据挖掘技术的组合以及域名知识来发现示例过程中的阶段,并创建事件日志以进行进一步的进程分析。

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