METHODS AND SYSTEMS FOR ADAPTION OF DATA COLLECTION UNDER ANOMALOUS CONDITIONS IN AN INTERNET OF THINGS MINING ENVIRONMENT

摘要

A monitoring system for data collection in a mining environment includes a data collector coupled to a plurality of input channels; a data storage structured to store a plurality of collector routes, each comprising a different data collection routine, and collected data that corresponds to the input channels, wherein the collected data is provided by a plurality of input sensors coupled to at least one of a plurality of components of a mining process; a data acquisition circuit structured to interpret a plurality of detection values from the collected data corresponding to at least one of the plurality of input channels; and a data analysis circuit structured to analyze the collected data, revealing an anomalous condition, from the input channels and evaluate a collection routine of the data collector; and a data response circuit structured to alter an operational parameter of the mining process based on the anomalous condition.