Methods and systems for sensor fusion in a production line environment
Methods and systems for sensor fusion in a production line environment are disclosed. An example system for data collection in an industrial production environment may include an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the components; a sensor communication circuit to interpret a plurality of sensor data values in response to a sensed parameter group; and a data analysis circuit to detect an operating condition of the industrial production system based at least in part on a portion of the sensor data values; and a response circuit to modify a production related operating parameter of the industrial production system in response to the detected operating condition.
1. A system for data collection in an industrial production environment, the system comprising:
an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the plurality of components, the plurality of sensors including at least one of a vibration sensor and an electromagnetic field sensor;
a sensor communication circuit structured to interpret a plurality of sensor data values in response to a sensed parameter group associated with at least one of the vibration sensor and the electromagnetic field sensor;
a data analysis circuit structured to detect an operating condition of the industrial production system based at least in part on a portion of the plurality of sensor data values;
a response circuit structured to modify a production related operating parameter of the industrial production system in response to the detected operating condition;
a pattern recognition circuit structured to determine a recognized pattern value in response to a portion of the plurality of sensor data values, wherein the recognized pattern value further includes a secondary value comprising a value based on a fused plurality of sensors that comprises the sensed parameter group; and
a peak detection circuit, wherein the peak detection circuit is structured to verify consistency of timing of peak values between data from the vibration sensor and data from the electromagnetic field sensor.
2. The system of claim 1 , wherein the secondary value comprises a component overtemperature value.
3. The system of claim 1 , wherein the secondary value comprises at least one of a component maintenance time, a component failure time, or a component service life.
4. The system of claim 1 , wherein the operating condition affects a desired output of the industrial production system.
5. The system of claim 1 , wherein the plurality of sensors comprises at least one analog sensor.
6. The system of claim 1 , wherein at least one of the plurality of sensors comprises a remote sensor.
7. The system of claim 1 , wherein the secondary value comprises at least one value selected from the values including: a virtual sensor output value; a process prediction value; a process state value; a component prediction value; a component state value; or a model output value having the plurality of sensor data values from the fused plurality of sensors as an input.
8. The system of claim 1 , wherein the pattern recognition circuit is further structured to access cloud-based data comprising a second plurality of sensor data values, the second plurality of sensor data values corresponding to at least one offset industrial system.
9. The system of claim 1 , wherein the secondary value comprises an off nominal operating condition affecting a product quality produced by an operation of the industrial production system.
10. A system for data collection in an industrial production environment, the system comprising:
an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the plurality of components;
a sensor communication circuit structured to interpret a plurality of sensor data values in response to a sensed parameter group;
a data analysis circuit structured to detect an operating condition of the industrial production system based at least in part on a portion of the plurality of sensor data values from a fused plurality of sensors coupled to the at least one of the plurality of components, the fused plurality of sensors including a vibration sensor and an electric field sensor;
a response circuit structured to modify a production related operating parameter of the industrial production system in response to the detected operating condition, wherein the operating condition affects a desired output comprising at least one of a production output, a quality, an efficiency, a profitability, a purity, a maintenance or service prediction of components in the industrial production system, or a failure mode prediction; and
a peak detection circuit, wherein the peak detection circuit is structured to verify consistency of timing of peak values between data from the vibration sensor and data from the electric field sensor.
11. The system of claim 10 , wherein the plurality of sensors comprises at least one analog sensor.
12. The system of claim 10 , wherein at least one of the plurality of sensors comprises a remote sensor.
13. A system for data collection in an industrial production environment, the system comprising:
an industrial production system comprising a plurality of components, and a plurality of sensors each operatively coupled to at least one of the plurality of components, the plurality of sensors including at least one of a vibration sensor and an electric field sensor;
a sensor communication circuit structured to interpret a plurality of sensor data values in response to a sensed parameter group associated with at least one of the vibration sensor and the electric field sensor;
a data analysis circuit structured to detect an operating condition of the industrial production system based at least in part on a portion of the plurality of sensor data values;
a response circuit structured to modify a production related operating parameter of the industrial production system in response to the detected operating condition;
a pattern recognition circuit structured to determine a recognized pattern value in response to a portion of the plurality of sensor data values,
wherein the recognized pattern value further includes a secondary value comprising a value based on a fused plurality of sensors that comprises the sensed parameter group; and
a peak detection circuit, wherein the peak detection circuit is structured to verify consistency of timing of peak values between data from the vibration sensor and data from the electric field sensor.
14. The system of claim 13 , wherein the secondary value comprises a component overtemperature value.
15. The system of claim 13 , wherein the secondary value comprises at least one of a component maintenance time, a component failure time, or a component service life.
16. The system of claim 13 , wherein the secondary value comprises at least one value selected from the values including: a virtual sensor output value; a process prediction value; a process state value; a component prediction value; a component state value; or a model output value having the plurality of sensor data values from the fused plurality of sensors as an input.
17. The system of claim 13 , wherein the pattern recognition circuit is further structured to access cloud-based data comprising a second plurality of sensor data values, the second plurality of sensor data values corresponding to at least one offset industrial system.
18. The system of claim 13 , wherein the secondary value comprises an off nominal operating condition affecting a product quality produced by an operation of the industrial production system.