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A-Posteriori Detection of Sensor Infrastructure Errors in Correlated Sensor Data and Business Workflows

机译:相关传感器数据和业务工作流中的传感器基础设施错误的事后检测

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摘要

Some physical objects are influenced by business workflows and are observed by sensors. Since both sensor infrastructures and business workflows must deal with imprecise information, the correlation of sensor data and business workflow data related to physical objects might be used a-posteriori to determine the source of the imprecision. In this paper, an information theory based approach is presented to distinguish sensor infrastructure errors from inhomogeneous business workflows. This approach can be applied on detecting imprecisions in the sensor infrastructure, like e.g. sensor errors or changes of the sensor infrastructure deployment.
机译:一些物理对象受业务工作流程的影响,并被传感器观察到。由于传感器基础结构和业务工作流都必须处理不精确的信息,因此可以事后使用与物理对象相关的传感器数据和业务工作流数据的相关性来确定不精确性的来源。在本文中,提出了一种基于信息论的方法来区分传感器基础结构错误和不均匀的业务工作流。该方法可以应用于检测传感器基础设施中的不精确性,例如,例如。传感器错误或传感器基础架构部署的更改。

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