Methods and systems for detection in an industrial internet of things data collection environment with noise detection and system response for vibrating components
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 vibrationally coupled to a second industrial component in the industrial environment; a data storage structured to store a plurality of stored system response patterns; a data acquisition circuit; a data analysis circuit structured to: determine a measured noise pattern for the at least one industrial component; compare the measured noise pattern to the plurality of stored system response patterns to determine an identified noise pattern; and a response circuit structured to modify data collection from at least one input channel connected to data collection points operationally coupled to the second industrial component in response to the identified noise pattern.
1. A monitoring system for data collection in an industrial environment, the system comprising:
a data collector structured to collect data and communicatively coupled to a plurality of input channels connected to data collection points operationally coupled to at least one industrial component, the at least one industrial component vibrating at least a second industrial component in the industrial environment, each of the at least one industrial component and the at least the second industrial component being a distinct, physically separate, independently-operable machine capable of independently producing vibration, wherein each of the at least one industrial component and the at least the second industrial component includes at least one of: a fan, a device having a crosspoint switch, a pump, a compressor, an air conditioning unit, a mixer, an agitator, a motor, or an engine;
a data storage structured to store a plurality of system response patterns associated with sound detection during operation of the at least one industrial component;
a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the at least one industrial component when vibrating the at least the second industrial component, 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 detection values;
determine a measured sound pattern acquired from the at least one industrial component based on the detection values; and
compare the measured sound pattern to the plurality of system response patterns to determine an identified sound pattern corresponding to the at least the second industrial component that was vibrated by the at least one industrial component; and
a response circuit structured to:
in response to the identified sound pattern for the at least the second industrial component:
modify data collection from at least one input channel connected to other data collection points operationally coupled to the at least the second industrial component; and
perform an action comprising at least one of:
removing or re-tasking under-utilized equipment based on one or more of learned received output data patterns of the collected data and a state of the at least the second industrial component;
triggering at least one of an alert of a failure, an imminent failure, or a maintenance event;
shutting down a piece of equipment or a component;
initiating maintenance of the piece of equipment or the component;
recommending deployment of a field technician;
recommending a vibration absorption/dampening device;
modifying a process to utilize backup equipment;
modifying a process to utilize a backup component;
modifying a process to preserve products;
modifying a process to preserve reactants;
generating or modifying a maintenance schedule;
coupling the identified sound pattern with a duty cycle of at least one of: the equipment, RPM, flow rate, pressure, or temperature to obtain a status of at least one of the equipment or the component and generate a report;
matching the identified sound pattern to a condition when a machine requires maintenance; or
updating the plurality of system response patterns if a changed parameter resulted in a new sound pattern, or if a predicted outcome or state did not occur in an absence of mitigation.
2. The system of claim 1 , wherein the response circuit is further structured to, as at least part of the modifying data collection, rebalance loads of the at least the second industrial component in response to the identified sound pattern.
3. The system of claim 2 , wherein the rebalancing of loads achieves at least one of: an extended life of the at least the second industrial component, an improved probability of success of a process of the at least the second industrial component, or facilitating maintenance on the at least the second industrial component.
4. The system of claim 1 , wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust a process of the at least the second industrial component in response to the identified sound pattern.
5. The system of claim 4 , wherein the process is at least one of: a life cycle process, a duty cycle process, an operational process, a time-driven process, or an event-driven process.
6. The system of claim 1 , wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust an operating parameter of the at least the second industrial component in response to the identified sound pattern.
7. The system of claim 1 , wherein the data analysis circuit is further structured to remove a background sound from the plurality of detection values to determine the measured sound pattern.
8. A computer-implemented method for data collection in an industrial environment, the method comprising:
continuously collecting data from a plurality of input channels of a data collector that are communicatively coupled to data collection points of at least one industrial component vibrating at least a second industrial component in the industrial environment, each of the at least one industrial component and the at least the second industrial component being respectively capable of independently producing vibration, the at least one industrial component and the at least the second industrial component being physically separated from each other, wherein each of the at least one industrial component and the at least the second industrial component includes at least one of: a fan, a device having a crosspoint switch, a pump, a compressor, an air conditioning unit, a mixer, an agitator, a motor, or an engine;
while continuously collecting the data from the plurality of input channels:
storing a plurality of system response patterns in a data storage associated with sound detection during operation of the at least one industrial component;
interpreting a plurality of detection values from the collected data of the at least one industrial component when vibrating the at least the second industrial component, each of the plurality of detection values corresponding to at least one of the plurality of input channels;
determining a measured sound pattern for the at least one industrial component in response to the plurality of detection values;
comparing the measured sound pattern to the plurality of system response patterns to determine an identified sound pattern corresponding to the at least the second industrial component that was vibrated by the at least one industrial component; and
modifying data collection from at least one input channel connected to other data collection points operationally coupled to the at least the second industrial component in response to the identified sound pattern for the at least the second industrial component; and
performing an action comprising at least one of:
removing or re-tasking under-utilized equipment based on one or more of learned received output data patterns of the collected data and a state of the at least the second industrial component;
triggering at least one of an alert of a failure, an imminent failure, or a maintenance event;
shutting down a piece of equipment or a component;
initiating maintenance of the piece of equipment or the component;
recommending deployment of a field technician;
recommending a vibration absorption/dampening device;
modifying a process to utilize backup equipment;
modifying a process to utilize a backup component;
modifying a process to preserve products;
modifying a process to preserve reactants;
generating or modifying a maintenance schedule;
coupling the identified sound pattern with a duty cycle of at least one of: the equipment, RPM, flow rate, pressure, or temperature to obtain a status of at least one of the equipment or the component and generate a report;
matching the identified sound pattern to a condition when a machine requires maintenance; or
updating the plurality of system response patterns if a changed parameter resulted in a new sound pattern, or if a predicted outcome or state did not occur in an absence of mitigation.
9. The method of claim 8 , further comprising rebalancing loads of the at least the second industrial component in response to the identified sound pattern.
10. The method of claim 9 , wherein the rebalancing of loads achieves at least one of: an extended life of the at least the second industrial component, improved probability of success of a process of the at least the second industrial component, or facilitating maintenance on the at least the second industrial component.
11. The method of claim 8 , further comprising adjusting a process of the at least the second industrial component in response to the identified sound pattern.
12. The method of claim 11 , wherein the process is at least one of: a life cycle process, a duty cycle process, operational process, a time-driven process, or an event-driven process.
13. The method of claim 8 , further comprising adjusting an operating parameter of the at least the second industrial component in response to the identified sound pattern.
14. The method of claim 8 , wherein the determining the measured sound pattern further comprises removing a background sound from the plurality of detection values.
15. An apparatus for monitoring data collection in an industrial environment, the apparatus comprising:
a data collector structured to collect data and communicatively coupled to a plurality of input channels connected to data collection points on at least one industrial component, the at least one industrial component vibrating at least a second industrial component in the industrial environment, each of the at least one industrial component and the at least the second industrial component being an independently-operable machine capable of independently producing vibration, the at least one industrial component and the at least the second industrial component being physically separate from one another on a same floor or platform, wherein each of the at least one industrial component and the at least the second industrial component includes at least one of: a fan, a device having a crosspoint switch, a pump, a compressor, an air conditioning unit, a mixer, an agitator, a motor, or an engine;
a data storage structured to store a plurality of system response patterns associated with sound detection during operation of the at least one industrial component;
a data acquisition circuit structured to interpret a plurality of detection values from the collected data of the at least one industrial component when vibrating the at least the second industrial component, each of the plurality of detection values corresponding to at least one of the plurality of input channels;
a data analysis circuit structured to:
determine a measured sound pattern for the at least one industrial component in response to the detection values; and
compare the measured sound pattern to the plurality of system response patterns to determine an identified sound pattern that corresponds with the at least the second industrial component that was vibrated by the at least one industrial component; and
a response circuit structured to:
in response to the identified sound pattern for the at least the second industrial component:
modify data collection from at least one input channel connected to other data collection points operationally coupled to the at least the second industrial component; and
perform an action comprising at least one of:
removing or re-tasking under-utilized equipment based on one or more of learned received output data patterns of the collected data and a state of the at least the second industrial component;
triggering at least one of an alert of a failure, an imminent failure, or a maintenance event;
shutting down a piece of equipment or a component;
initiating maintenance of the piece of equipment or the component;
recommending deployment of a field technician;
recommending a vibration absorption/dampening device;
modifying a process to utilize backup equipment;
modifying a process to utilize a backup component;
modifying a process to preserve products;
modifying a process to preserve reactants;
generating or modifying a maintenance schedule;
coupling the identified sound pattern with a duty cycle of at least one of: the equipment, RPM, flow rate, pressure, or temperature to obtain a status of at least one of the equipment or the component and generate a report;
matching the identified sound pattern to a condition when a machine requires maintenance; or
updating the plurality of system response patterns if a changed parameter resulted in a new sound pattern, or if a predicted outcome or state did not occur in an absence of mitigation.
16. The apparatus of claim 15 , wherein the response circuit is further structured to, as at least part of the modifying data collection, rebalance loads of the at least the second industrial component in response to the identified sound pattern.
17. The apparatus of claim 16 , wherein the rebalancing of loads achieves at least one of: an extended life of the at least the second industrial component, an improved probability of success of a process of the at least the second industrial component, or facilitating maintenance on the at least the second industrial component.
18. The apparatus of claim 15 , wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust a process of the at least the second industrial component in response to the identified sound pattern.
19. The apparatus of claim 18 , wherein the process is at least one of: a life cycle process, a duty cycle process, an operational process, a time-driven process, or an event-driven process.
20. The apparatus of claim 15 , wherein the response circuit is further structured to, as at least part of the modifying data collection, adjust an operating parameter of the at least the second industrial component in response to the identified sound pattern.
21. The system of claim 1 , wherein the modifying data collection further comprises at least one of:
adjusting a weighting of a machine learning data analysis circuit based on the learned received output data patterns of the collected data or the state of the at least the second industrial component;
collecting more or fewer data points from one or more members of at least one subset of a plurality of sensors of the other data collection points based on the learned received output data patterns or the state;
changing a data storage technique for the collected data based on the learned received output data patterns or the state;
changing a data presentation mode or manner based on the learned received output data patterns or the state;
applying one or more filters to the collected data;
identifying a new data collection band circuit based on one or more of the learned received output data patterns or the state; or
adjusting at least one of weights or biases of the machine learning data analysis circuit in response to an accuracy of a prediction of an anticipated state by the machine learning data analysis circuit, or in response to an accuracy of a classification of a state by the machine learning data analysis circuit.
22. The system of claim 21 , wherein the action comprises at least one of:
the removing or re-tasking under-utilized equipment based on one or more of the learned received output data patterns and the state;
the triggering at least one of an alert of a failure, an imminent failure, or a maintenance event;
the shutting down a piece of equipment or a component;
the initiating maintenance of the piece of equipment or the component;
the recommending deployment of a field technician;
the recommending a vibration absorption/dampening device;
the modifying a process to utilize backup equipment;
the modifying a process to utilize a backup component;
the modifying a process to preserve products; or
the modifying a process to preserve reactants.
23. The system of claim 1 , wherein the action comprises the triggering at least one of an alert of a failure, an imminent failure, or a maintenance event.
24. The system of claim 1 , wherein the plurality of system response patterns respectively correspond to associated states of one or more industrial components.
25. The system of claim 1 , wherein the identified sound pattern corresponds to a state of the second industrial component and the response circuit performs the action in response to the state.