METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH A SELF-ORGANIZING ADAPTIVE SENSOR SWARM FOR INDUSTRIAL PROCESSES

摘要

Methods and systems for detection in an industrial internet of things data collection environment with a self-organizing adaptive sensor swarm for industrial processes include a plurality of data collectors communicatively coupled to a plurality of input channels, wherein each of the plurality of data collectors is structured to collect detection values as collected data, an expert system circuit structured to self-organize one or more detection packages and an associated subset of the plurality of data collectors using a swarm optimization algorithm, a data acquisition circuit structured to interpret the collected data, a data analysis circuit structured to analyze the collected data, and a cognitive input selection facility for optimization of an input selection configuration for a collector route of the plurality of data collectors.