Patent application title: METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH INTELLIGENT DATA COLLECTION AND PROCESS ADJUSTMENT FOR AN INDUSTRIAL POWER STATION
Inventors:
IPC8 Class: AG05B19418FI
USPC Class:
1 1
Class name:
Publication date: 2019-01-24
Patent application number: 20190025805
Abstract:
Methods and systems for a monitoring system for data collection in an
industrial environment may include a data collector communicatively
coupled to a plurality of input channels connected to data collection
points operatively coupled to at least one industrial component of an
industrial power station; a data acquisition circuit structured to
interpret a plurality of detection values from the plurality of input
channels; a data analysis circuit structured to utilize an expert system
diagnostic tool to identify an off-nominal process state in response to
the plurality of detection values; and a response circuit to adjust a
process parameter in response to the off-nominal process state.Claims:
1. A monitoring system for data collection in an industrial environment,
the system comprising: a data collector communicatively coupled to a
plurality of input channels connected to data collection points
operatively coupled to at least one industrial component of an industrial
power station; a data acquisition circuit structured to interpret a
plurality of detection values from the plurality of input channels; a
data analysis circuit structured to utilize an expert system diagnostic
tool to identify an off-nominal process state in response to the
plurality of detection values; and a response circuit to adjust a process
parameter in response to the off-nominal process state.
2. The system of claim 1, wherein the off-nominal process state is at least one of a failure state, a safety state, or a maintenance state.
3. The system of claim 1, wherein the off-nominal process state comprises a continuously monitored state.
4. The system of claim 3, wherein the continuously monitored state comprises at least one of a component temperature or a component pressure of the at least one industrial component.
5. The system of claim 1, wherein the expert system diagnostic tool comprises at least one of a rule-based expert system or a model-based expert system structured to identify changes in a noise pattern of the industrial component.
6. The system of claim 5, wherein the expert system diagnostic tool uses a library of stored noise patterns.
7. The system of claim 1, wherein the response circuit changes a data collection package as a result of identifying the off-nominal process state.
8. The system of claim 1, wherein the response circuit is further structured to adjust the process parameter by adjusting an equipment package.
9. The system of claim 8, wherein adjusting the equipment package comprises at least one of: changing an equipment type, changing operating parameters for a piece of equipment, initiating amelioration of an equipment issue, or making recommendations regarding future equipment for a system.
10. The system of claim 1, wherein the response circuit rebalances process loads between components to extend a life of a component, improve a probability of process success, or facilitate maintenance on a component.
11. The system of claim 1, further comprising a haptic feedback circuit providing a haptic feedback instruction as an alert or notification to a user to alert or notify the user that the off-nominal process state has been identified.
12. A computer-implemented method for data collection in an industrial environment, the method comprising: collecting data from a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one industrial component of an industrial power station; interpreting a plurality of detection values from the plurality of input channels; utilizing an expert system diagnostic tool to identify an off-nominal process state in response to the plurality of detection values; and adjusting a process parameter in response to the off-nominal process state.
13. The method of claim 12, wherein the off-nominal process state is at least one of a failure state, a safety state, or a maintenance state.
14. The method of claim 12, wherein the off-nominal process state comprises a continuously monitored state.
15. The method of claim 14, wherein the continuously monitored state comprises a safety state of the at least one industrial component of an industrial power station.
16. An apparatus for monitoring data collection in an industrial environment, the apparatus comprising: a data collector communicatively coupled to a plurality of input channels connected to data collection points operatively coupled to at least one industrial component of an industrial power station; a data acquisition circuit structured to interpret a plurality of detection values from the plurality of input channels; a data analysis circuit structured to utilize an expert system diagnostic tool to identify an off-nominal process state in response to the plurality of detection values, wherein the expert system diagnostic tool comprises at least one of a rule-based expert system or a model-based expert system to identify changes in a noise pattern of the industrial component; and a response circuit to adjust a process parameter in response to the off-nominal process state.
17. The apparatus of claim 16, wherein the expert system diagnostic tool uses a library of stored noise patterns.
18. The apparatus of claim 16, wherein the response circuit changes a data collection package as a result of identifying the off-nominal process state.
19. The apparatus of claim 16, wherein the response circuit is further structured to adjust the process parameter by adjusting an equipment package, wherein adjusting the equipment package comprises changing an equipment type, changing operating parameters for a piece of equipment, initiate amelioration of an equipment issue, or making recommendations regarding future equipment.
20. The apparatus of claim 16, wherein the off-nominal process state comprises an operating condition where electrical power is still supplied to the industrial component, the apparatus further comprising a haptic feedback circuit providing a haptic feedback instruction as an alert or notification to a user to alert or notify the user that the off-nominal process state has been identified.
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