G05B23/0208

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

An apparatus, methods and systems for monitoring data collection in an industrial environment are disclosed. The system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, wherein the data collector collects data based on a selected data collection routine, a data storage structured to store a plurality of collector routes and collected data, 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 a data analysis circuit structured to analyze the collected data and determine an aggregate rate of data being collected, wherein if the aggregate rate exceeds a current bandwidth allocation rate associated with the network infrastructure, then the data analysis circuit requests an increase to the current bandwidth allocation rate from the network infrastructure.

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

A monitoring apparatus, systems and methods for data collection in an industrial environment are disclosed. A system may include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, wherein the data collector collects data based on a selected data collection routine, a data storage structured to store a plurality of collector routes and collected data, a data acquisition circuit structured to interpret a plurality of detection values from the collected data, and a data analysis circuit structured to analyze the collected data and determine an aggregate rate of data being collected from the plurality of input channels, wherein if the aggregate rate exceeds a throughput parameter of the network infrastructure, then the data analysis circuit alters the data collection to reduce the amount of data collected.

METHODS AND SYSTEMS FOR INDUSTRIAL INTERNET OF THINGS DATA COLLECTION FOR A CHEMICAL PRODUCTION PROCESS

A system, method and apparatus for data collection in an industrial production environment are described. The system may include, a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors which includes a detection package, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of an industrial production process, a data analysis circuit structured to analyze a subset of the plurality of detection values to determine a sensor performance value of at least one of the plurality of input sensors, and an analysis response circuit structured to adjust at least one of a sensor scaling value or a sensor sampling frequency value, in response to the sensor performance value.

METHODS AND SYSTEMS FOR INDUSTRIAL INTERNET OF THINGS DATA COLLECTION FOR PROCESS ADJUSTMENT IN AN UPSTREAM OIL AND GAS ENVIRONMENT

In embodiments of the present invention improved capabilities are described for a system for process monitoring through data collection in an industrial drilling environment comprising a data collector communicatively coupled to a plurality of input channels, each input channel connected to a monitoring point from which data is collected, the collected data providing a plurality of process parameter values for the industrial drilling environment; a data storage structured to store collected data from the plurality of input channels; a data acquisition circuit structured to interpret the plurality of process parameter values from the collected data; and a data analysis circuit structured to analyze the plurality of process parameter values to detect a process condition associated with the industrial drilling environment, wherein an operational process for the industrial drilling environment is altered based on the analysis of the plurality of process parameter values.

METHODS AND SYSTEMS FOR INDUSTRIAL INTERNET OF THINGS DATA COLLECTION FOR VIBRATION SENSITIVE EQUIPMENT

Methods, system and apparatus for monitoring vibration sensitive industrial equipment is disclosed. The system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of the equipment, a signal conditioning circuit structured to process a subset of the detection values on multiples of a key frequency, a vibration analysis circuit structured to identify vibration in at least one of the plurality of components, a data analysis circuit structured to analyze the plurality of detection values and determine a status parameter value, and an analysis response circuit structured to take an action in response to the status parameter value.

METHODS AND SYSTEMS FOR A NOISE PATTERN DATA MARKETPLACE IN AN INDUSTRIAL INTERNET OF THINGS ENVIRONMENT

A data collection system in an industrial environment includes a data collector coupled to a plurality of input channels, wherein at least one is connected to a vibration detection facility for detecting a noise pattern from a first industrial machine of a plurality of industrial machines; a data storage structured to store a plurality of noise patterns from the plurality of industrial machines in a library; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; and a data analysis circuit structured to analyze the collected data to determine if the noise pattern from the first industrial machine matches a noise pattern of a second industrial machine stored in the library, wherein if it matches an alarm condition is set to indicate the first industrial machine is experiencing a condition characteristic of the machine performance category of the second industrial machine.

METHODS AND SYSTEMS FOR SELF-ORGANIZATION OF COLLECTED DATA USING 3RD PARTY DATA FROM A DATA MARKETPLACE IN AN INDUSTRIAL INTERNET OF THINGS ENVIRONMENT

A system, method and apparatus for data collection in an industrial production environment is described. The system may include a data acquisition circuit structured to interpret a plurality of detection values corresponding to input received from a plurality of input sensors, each of the plurality of input sensors operatively coupled to at least one of a plurality of components of an industrial production process, a data storage circuit structured to store a subset of the plurality of detection values and a plurality of data collection routes, wherein the plurality of data collection routes each include a different data collection routine, an expert system circuit structured to self-organize the plurality of detection values into at least one data collection band, and a data analysis circuit structured to analyze the subset of the plurality of detection values and determine a status parameter value.

METHODS AND SYSTEMS FOR DATA COLLECTION OPTIMIZATION IN AN INDUSTRIAL INTERNET OF THINGS ENVIRONMENT

Improved capabilities are described for a data collection system in an industrial environment comprising a data collector communicatively coupled to a plurality of input channels; a data storage structured to store a plurality of collector routes and collected data that correspond to the plurality of input channels, wherein the plurality of collector routes each comprise a different data collection routine; 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; a data analysis circuit structured to analyze the collected data from the plurality of input channels; and a cognitive input selection facility for optimization of an input selection configuration for a collector route of the data collector, wherein the input selection configuration is based on a learning feedback from a learning feedback facility.

METHODS AND SYSTEMS FOR OPTIMIZATION OF DATA COLLECTION AND STORAGE USING 3RD PARTY DATA FROM A DATA MARKETPLACE IN AN INDUSTRIAL INTERNET OF THINGS ENVIRONMENT

A system, method and apparatus for data collection in an industrial environment are described. The system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from at least one of a plurality of input sensors operatively coupled to at least one of a plurality of components of an industrial process, a data marketplace circuit structured to communicate at least one of the plurality of detection values to a data marketplace, and to obtain at least one external detection value, a data analysis circuit structured to determine a state value, an optimization circuit configured to provide a recommendation to adjust a parameter of the process in response to the state value, and an analysis response circuit structured to perform an action in response to the recommendation.

METHODS AND SYSTEMS FOR PROCESS ADJUSTMENTS IN AN INTERNET OF THINGS CHEMICAL PRODUCTION PROCESS

A system, method and apparatus for data collection related to a chemical production process are described. A system may include a data acquisition circuit structured to interpret a plurality of detection values, each of the plurality of detection values corresponding to input received from a detection package, the detection package including at least one of a plurality of input sensors coupled to at least one of a plurality of components of the process, a data analysis circuit structured to analyze a subset of the plurality of detection values to determine at least one of a sensor state, a process state, and a component state, wherein the data analysis circuit includes a pattern recognition circuit, and an analysis response circuit structured to perform an action in response to the at least one of the sensor state, the process state, and the component state.