G05B23/0208

METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH EXPERT SYSTEMS DIAGNOSTICS FOR VIBRATING COMPONENTS

Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. An expert system analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit provides an alarm condition in response to the vibration component having the recognized vibration pattern.

METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH EXPERT SYSTEM DETECTION AND PROCESS RESPONSE FOR OIL AND GAS PROCESSING OPERATIONS

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 component in at least one of an oil processing system or gas processing system; a data storage structured to store a plurality of stored process condition states; a data acquisition circuit structured to interpret a plurality of detection values from the collected data; an expert system detection circuit structured to detect a process condition in response to the plurality of detection values, wherein the expert system detection circuit generates a process condition notification if a process condition is detected that matches one of the plurality of stored process condition states; and a response circuit structured to provide an alert in response to the process condition notification.

METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH NOISE PATTERN RECOGNITION WITH HIERARCHICAL DATA STORAGE FOR BOILER AND PIPELINE SYSTEMS

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector connected to data collection points on a plurality of industrial components, a data storage structured to store a plurality of noise patterns, wherein the data storage is organized in a hierarchical format with respect to noise patterns of similar industrial components, a data acquisition circuit structured to interpret detection values from collected data, a data analysis circuit structured to analyze the collected data and determine a measured noise pattern for an industrial component, and to determine an identified noise pattern in response to comparing stored noise patterns to the measured noise pattern, and a response circuit structured to adjust the plurality of stored noise patterns in response to the identified noise pattern.

METHODS AND SYSTEMS FOR DATA COLLECTION AND INTELLIGENT PROCESS ADJUSTMENT IN AN INDUSTRIAL ENVIRONMENT

An apparatus, methods and systems for collecting data related to an industrial environment are disclosed. A monitoring system can include a data collector communicatively coupled to a plurality of input channels relating to an aspect of an industrial production process, a data storage structured to store a plurality of detection values, a data analysis circuit structured to interpret a subset of the detection values to determine a state value comprising at least one of a process state or a component state, an optimization circuit structured to analyze a subset of the detection values and the state value, using at least one of a neural net or an expert system, to provide an adjustment recommendation, and an analysis response circuit structured to adjust the industrial production process in response to the adjustment recommendation.

METHODS AND SYSTEMS FOR A DATA MARKETPLACE FOR HIGH VOLUME INDUSTRIAL PROCESSES

An apparatus, methods and systems for data collection in an industrial environment are disclosed. A monitoring system can include a data collector communicatively coupled to each one of a plurality of input channels utilizing one of a plurality of collector routes, wherein each input channel comprises data corresponding to an element of a first industrial machine, and wherein each of the plurality of collector routes comprises a distinct data collection routine, a data storage circuit structured to store a plurality of detection values that corresponds to the plurality of input channels, and a data marketplace circuit structured to communicate at least a portion of the detection values to a data marketplace, wherein the data marketplace circuit performs at least one of self-organizing the data marketplace and automating the data marketplace.

METHODS AND SYSTEMS FOR NETWORK-SENSITIVE DATA COLLECTION AND PROCESS ASSESSMENT IN AN INDUSTRIAL ENVIRONMENT

An apparatus, methods and systems for network-sensitive data collection related to a process in an industrial environment are disclosed. The system can include a data collector communicatively coupled to a plurality of input channels and to a network infrastructure, each of the plurality of input channels communicatively coupled to at least one sensor of the industrial environment, a data storage circuit structured to store a plurality of collector routes and wherein the data collector receives collected data from the plurality of input channels utilizing a collector route, a data analysis circuit structured to determine a data collection quality parameter and interpret the collected data to determine a state value of the industrial environment and an analysis response circuit structured to adjust the selected one of the plurality of collector routes in response to one of the data collection quality parameter or the state value of the industrial environment.

METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH EXPERT SYSTEMS DIAGNOSTICS AND PROCESS ADJUSTMENTS FOR VIBRATING COMPONENTS

Methods and systems for data collection in an industrial environment include a data collector communicatively coupled to a plurality of input channels, wherein at least one of the input channels is connected to a vibration detection facility coupled to a plurality of vibration components. A data storage stores a plurality of vibration patterns for the plurality of vibration components in a library of vibration patterns. A data acquisition circuit interprets a plurality of detection values, each comprising a representation of collected data corresponding to at least one of the plurality of input channels. A data analysis circuit analyzes the plurality of detection values to determine if one of the plurality of vibration components has a recognized vibration pattern corresponding to a stored vibration pattern from the library of vibration patterns. A response circuit adjusts a process of the environment in response to the vibration component having the recognized vibration pattern.

EQUIPMENT PROCESS MONITORING SYSTEM WITH AUTOMATIC CONFIGURATION OF CONTROL LIMITS AND ALERT ZONES
20190033824 · 2019-01-31 ·

Apparatuses, methods and storage medium associated with monitoring or assisting in monitoring of an equipment process are disclosed herein. In embodiments, an apparatus may comprise an analyzer to: receive a plurality of simulation results of a plurality of control limit and alert zone combinations for potential use with a control chart to monitor the equipment process, and calculate a plurality of performance metrics for each of the plurality of control limit and alert zone combinations, using the plurality of simulation results. The apparatus may further select an optimal combination of control limits and alert zones, based at least in part on the plurality of performance metrics, and configure an equipment process monitor with the selected optimal combination of control limits and alert zones for use with a control chart to monitor the equipment process. Other embodiments may be described or claimed.

METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH FREQUENCY BAND ADJUSTMENTS FOR DIAGNOSING OIL AND GAS PRODUCTION EQUIPMENT

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 operatively coupled to at least one of an oil production component or gas production component; a data storage structured to store a plurality of diagnostic frequency band ranges for the at least one of an oil production component or gas production component; a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels; and a data analysis circuit structured to analyze the plurality of detection values to determine measured frequency band data and compare the measured frequency band data to the plurality of diagnostic frequency band ranges, and to diagnose an operational parameter of the least one of an oil production component or gas production component in response to the comparison.

METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH ADJUSTMENT OF DETECTION PARAMETERS FOR CONTINUOUS VIBRATION DATA

Methods and systems for a monitoring system for data collection in an industrial environment including a data storage structured to store detection parameters for a plurality of input channels; a data collector communicatively coupled to the plurality of input channels, wherein the data collector collects data from the plurality of input channels based on the detection parameters; 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 from the plurality of input channels, wherein one of the plurality of input channels is connected to a vibration sensor providing continuous vibration data.