G05B23/0208

METHODS AND SYSTEMS FOR INDUSTRIAL INTERNET OF THINGS DATA COLLECTION IN DOWNSTREAM OIL AND GAS ENVIRONMENT

A system for monitoring an oil and gas process includes a data acquisition circuit structured to interpret a plurality of detection values corresponding to input received from a detection package which includes at least one of a plurality of input sensors each 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 status parameter; and an analysis response circuit structured to adjust the detection package in response to the status parameter, wherein the plurality of available sensors have at least one distinct sensing parameter selected from the sensing parameters consisting of: input ranges, sensitivity values, locations, reliability values, duty cycle values, sensor types, and maintenance requirements.

METHODS AND SYSTEMS FOR DATA STORAGE AND COMMUNICATION IN AN INTERNET OF THINGS CHEMICAL PRODUCTION PROCESS

A system, method and apparatus for data collection related to a chemical production process are described. The system may include a cross point switch including a plurality of inputs and a plurality of outputs, a plurality of sensors operatively coupled to at least one of a plurality of components of the chemical production process, a sensor data storage profile circuit structured to determine a data storage profile, wherein the cross point switch is responsive to the data storage profile to selectively couple at least one of the plurality of inputs to at least one of the plurality of outputs, a sensor communication circuit communicatively coupled to the plurality of outputs of the cross point switch, and a sensor data storage implementation circuit structured to store at least a portion of the plurality of sensor data values in response to the data storage profile.

METHODS AND SYSTEMS FOR ADAPTION OF DATA STORAGE AND COMMUNICATION IN AN INTERNET OF THINGS DOWNSTREAM OIL AND GAS ENVIRONMENT

An apparatus, methods and systems for data collection related to an oil and gas process and disclosed. A system may include a multi-sensor acquisition component including a plurality of inputs and a plurality of outputs, a sensor data storage profile circuit structured to determine a data storage profile including a data storage plan for the plurality of inputs, a sensor communication circuit structured to interpret a plurality of inputs, a sensor data storage implementation circuit structured to store at least a portion of the inputs in response to the data storage profile, a data analysis circuit structured to analyze the plurality of inputs and determine a data quality parameter, and a data response circuit structured to adjust at least one of the data storage profile and the data collection routine in response to the data quality parameter.

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

A system for data collection in an industrial environment comprising a multi-sensor acquisition component comprising a plurality of inputs and outputs; a plurality of sensors coupled to at least one of a plurality of components of an industrial process and one of the inputs; a sensor data storage profile circuit structured to determine a data storage profile, comprising a data storage plan for the plurality of sensor data values; wherein the multi-sensor acquisition component is responsive to the data storage profile to selectively couple inputs to outputs; a sensor communication circuit coupled to the outputs, and structured to interpret the plurality of sensor data values; a sensor data storage implementation circuit; a data analysis circuit structured to determine a data quality parameter in response to the plurality of sensor data values; and a data response circuit structured to adjust the data storage profile in response to the data quality parameter.

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

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.

METHODS AND SYSTEMS FOR INDUSTRIAL INTERNET OF THINGS DATA COLLECTION IN A NETWORK SENSITIVE MINING ENVIRONMENT

In embodiments of the present invention improved capabilities are described for a system for a monitoring system for data collection in a mining environment comprising a data storage structured to store at least one collector route and at least one sensor specification, wherein each sensor specification corresponds to at least one of a plurality of input channels, and wherein the at least one collector route comprises a corresponding sensor collection routine; a data collector communicatively coupled to the plurality of input channels, and providing a plurality of detection values from the plurality of input channels in response to a selected one of each of the at least one sensor collection routine and the at least one sensor specification; a data acquisition circuit structured to interpret the plurality of detection values from the data collector; a data analysis circuit structured to: analyze at least one of: the plurality of detection values; and a second plurality of detection values, wherein each of the second plurality of detection values correspond to one of the plurality of input channels; and determine a data collection quality parameter by evaluating at least one of: the selected at least one sensor collection routine and the selected sensor specification; and an analysis response circuit structured to adjust at least one of: the selected sensor collection routine and the selected sensor specification, in response to the data collection quality parameter.

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

In embodiments of the present invention improved capabilities are described for a monitoring system for data collection in an industrial drilling environment comprising a data collector communicatively coupled to a plurality of input channels, wherein a subset of the plurality of input channels are communicatively coupled to sensors measuring operational parameters from an industrial drilling component; 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 to detect an anomalous condition associated with the industrial drilling component; and a data response circuit structured to switch one of the data collection routines from a first data collection routine to a second collection routine based on the detection of the anomalous condition.

System, methods and apparatus for modifying a data collection trajectory for conveyors

Systems, methods and apparatus for modifying a data collection trajectory for conveyors are described. An example system may include a data acquisition circuit to interpret a plurality of detection values, each corresponding to at least one of a plurality of input sensors communicatively coupled to the data acquisition circuit. The system may further include a data storage circuit to store specifications and anticipated state information for a plurality of conveyor types and an analysis circuit to analyze the plurality of detection values relative to specifications and anticipated state information to determine a conveyor performance parameter. A response circuit may initiate an action in response to the conveyor performance parameter.

MOTOR CONTROL SYSTEM, CONTROL METHOD, ENCODER, AND MOTOR CONTROLLER

A motor control system includes an encoder, and motor control circuitry. The encoder includes a first disk and a second disk which are mounted to a rotation shaft of a motor, a first rotation position detection sensor that detects a rotation position in one rotation of the rotation shaft of the motor from the first disk, a second rotation position detection sensor that detects a rotation position in one rotation of the rotation shaft of the motor from the second disk, and transmission circuitry that transmits first safety data, which includes first rotation position data indicating the rotation position detected by the first rotation position detection sensor and second rotation position data indicating the rotation position detected by the second rotation position detection sensor, and the control circuitry compares the rotation position included in the first rotation position data and the rotation position included in the second rotation position data.

AUTOMATED ELECTRICAL SYSTEM COMMISSIONING
20180278090 · 2018-09-27 ·

Aspects extend to methods, systems, and computer program products for automatically commissioning an electrical system in industrial/commercial settings (e.g., a data center) to increase the likelihood that the electrical system functions as intended when released into production. Automated data collection devices can collect commissioning data related to electrical and other characteristics of electrical equipment. Automation software can access commissioning data from the automated data collection devices over a computer network. The commissioning data can be stored in a database for analysis. The commissioning data can be compared to pass/fail criteria and a commissioning report can be generated.