METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH SELF-ORGANIZING EXPERT SYSTEM DETECTION FOR COMPLEX INDUSTRIAL CHEMICAL PROCESSES

摘要

Methods and systems for a monitoring system for data collection in an industrial environment including a data collector communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to an industrial chemical process; a data acquisition circuit structured to interpret a plurality of detection values from the collected data, each of the plurality of detection values corresponding to at least one of the plurality of input channels; and an expert system detection circuit structured to detect a process indicator in response to the plurality of detection values, and to initiate a self-organizing data collection response as a result of the process indicator detection.