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METHODS AND SYSTEMS FOR DATA PROCESSING IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH LARGE DATA SETS

机译:具有大型数据集的事物数据收集环境的工业互联网中数据处理的方法和系统

摘要

Systems, methods and apparatus for data collection in an industrial environment are described. The system may include a multi-sensor acquisition component, the multi-sensor acquisition component including a plurality of inputs and outputs, a plurality of sensors operatively coupled to at least one of a plurality of components of an industrial process, and each communicatively coupled to at least one of the plurality of inputs of the multi-sensor acquisition component, a sensor data storage profile circuit structured to determine a data storage profile, a sensor communication circuit communicatively coupled to the plurality of outputs of the multi-sensor acquisition component, a sensor data storage implementation circuit structured to sensor data values in response to the data storage profile; and a data marketplace circuit structured to store at least a second portion of the plurality of sensor data values on a data marketplace.
机译:描述了用于在工业环境中进行数据收集的系统,方法和设备。该系统可以包括多传感器采集组件,该多传感器采集组件包括多个输入和输出,多个传感器可操作地耦合到工业过程的多个组件中的至少一个,并且每个通信耦合到多传感器采集组件的多个输入中的至少一个,传感器数据存储配置文件电路,其被构造为确定数据存储配置文件,传感器通信电路通信地耦合到多传感器采集组件的多个输出,传感器数据存储实现电路,其构造成响应于数据存储配置文件而具有传感器数据值;数据市场电路,其构造成将多个传感器数据值的至少第二部分存储在数据市场上。

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