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Detection Algorithms for Distributed Emission Sources of Abnormal Events

机译:异常事件分布排放源的检测算法

摘要

Methods, systems, and computer program products for detection of an arbitrarily-shaped source of an abnormal event via use of a hierarchical reconstruction method are provided herein. A computer-implemented method includes detecting an abnormal event based on analysis of sensor data, wherein said analysis of the sensor data comprises comparing the sensor data to a user-defined threshold; generating a query based on the detected abnormal event; processing the query against one or more given data repositories; executing an inverse model using an output generated in relation to said processing to identify a source of the detected abnormal event, wherein the source to comprises an arbitrary shape; and outputting the identified source of the detected abnormal event.
机译:本文提供了用于通过使用分级重构方法来检测异常事件的任意形状的源的方法,系统和计算机程序产品。一种计算机实现的方法,包括基于对传感器数据的分析来检测异常事件,其中,对传感器数据的所述分析包括将传感器数据与用户定义的阈值进行比较;以及将传感器数据与用户定义的阈值进行比较。根据检测到的异常事件生成查询;针对一个或多个给定的数据存储库处理查询;使用关于所述处理产生的输出来执行逆模型,以识别检测到的异常事件的来源,其中,所述来源包括任意形状;输出识别出的异常事件的来源。

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