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

Abstract

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.

Claims

1. A system for data collection in an industrial environment, the system comprising: a multi-sensor acquisition component, the multi-sensor acquisition component comprising 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 an industrial process, and each communicatively coupled to at least one of the plurality of inputs of the multi-sensor acquisition component; a sensor data storage profile circuit structured to determine a data storage profile, the 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 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 multi-sensor acquisition component, and structured to interpret the plurality of sensor data values; a sensor data storage implementation circuit structured to store at least a first portion of the plurality of sensor data values in response to the data storage profile; 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.

2. The system of claim 1, further comprising wherein the data storage profile further comprises at least one of: a storage location for the at least one of the first portion of the plurality of sensor data values; a time data storage trajectory comprising a plurality of time values corresponding to a plurality of data storage locations over which the at least one of the first portion of the plurality of sensor data values is to be stored; a time domain distribution over which the at least one of the first portion of the plurality of sensor data values is to be stored; and location data storage trajectory comprising the plurality of data storage locations over which the at least one of the first portion of the plurality of sensor data values is to be stored.

3. The system of claim 1, wherein the sensor data storage implementation circuit is further structured to store calibration data for at least one of the plurality of input sensors, and wherein the data response circuit is further configured to calibrate the at least one of the plurality of input sensors in response to the data quality parameter and the stored calibration data.

4. The system of claim 1, further comprising an expert system circuit structured to self-organize, based on at least one parameter of the group of parameters comprising: utilization, yield, sensors co-located on a common piece of equipment, and sensors co-located on distinct pieces of equipment having common properties, at least one of the plurality of sensor data values or the data storage profile, the expert system circuit further structured to identify changes to the data storage profile that improve the data quality parameter, and wherein the data response circuit is further structured to the identified changes by the expert system circuit.

5. The system of claim 1, further comprising: wherein the plurality of input sensors comprises a plurality of mobile data collector units; an expert system circuit structured to self-organize the plurality of mobile data collector units using a swarm optimization algorithm; and a policy automation engine circuit structured to access a plurality of policies, the plurality of policies comprising rules and protocols related to at least one of: interconnectivity between the plurality of mobile data collector units, interconnectivity between at least one of the plurality of mobile data collector units and the sensor communication circuit.

6. The system of claim 5, further comprising: a data marketplace circuit structured to access a data marketplace and obtain at least one external sensor data value from the data marketplace, the external sensor data value comprising a sensor data value from an offset industrial production process; and wherein the data marketplace circuit is further structured to store at least a second portion of the plurality of sensor data values on the data marketplace.

7. The system of claim 6, wherein the plurality of policies further comprise rules and protocols related to sensor data values stored on the data marketplace.

8. The system of claim 7, wherein the sensor data storage implementation circuit is further structured to store a distributed ledger, wherein the distributed ledger stores at least one of a transaction associated with the data marketplace, and a subset of the sensor data values.

9. The system of claim 1, further comprising an expert system circuit structured to identify improvements to at least one of: the plurality of input sensors, a component of the industrial process, and a flow value for the industrial process, and wherein the expert system circuit comprises at least one of a group of learning techniques.

10. The system of claim 1, wherein the data analysis circuit is further structured to isolate vibration noise of one of the plurality of components to obtain a characteristic vibration fingerprint of the process component.

11. A method for data collection in an industrial environment, the method comprising: interpreting a plurality of sensor data values from a plurality of input sensors each operatively coupled to at least one of a plurality of components of an industrial process; determining a data storage profile, the data storage profile comprising a data storage plan for the plurality of sensor data values; selectively coupling at least one of a plurality of inputs of a multi-sensor acquisition component to at least one of a plurality of outputs of the multi-sensor acquisition component in response to the data storage profile, wherein the each of the plurality of input sensors are communicatively coupled to at least one of the plurality of inputs of the multi-sensor acquisition component; interrogating at least a portion of the plurality of sensor data values from the plurality of outputs of the multi-sensor acquisition component according to a data collection routine corresponding to each of the plurality of input sensors; storing at least a first portion of the plurality of sensor data values in response to the data storage profile; and determining a data quality parameter, and adjusting the data storage profile in response to the data quality parameter.

12. The method of claim 11, further comprising calibrating at least one of the plurality of input sensors in response to the data quality parameter and stored calibration data.

13. The method of claim 11, further comprising operating an expert system to self-organize data collection from the plurality of input sensors, wherein the self-organizing is based on at least one parameter including: utilization of sensor throughput, utilization of network throughput, utilization of at least one of the plurality of components, a yield of the industrial process, sensors co-located on a common piece of equipment, and sensors co-located on distinct pieces of equipment having common properties.

14. The method of claim 13, further comprising operating the expert system to identify changes to the data collection that improve the data quality parameter.

15. The method of claim 14, wherein the self-organized data collection comprises the data storage profile.

16. The method of claim 14, wherein the self-organized data collection further comprises a data collection routine for at least one of the plurality of input sensors, wherein the data collection routine comprises at least one of: a sensor range, a sensor scaling, a sensor sampling frequency, a data storage sampling frequency for a sensor, a sensor activation value, and a sensor fusion instruction.

17. An apparatus for data collection in an industrial environment, the apparatus comprising: a sensor data storage profile circuit structured to determine a data storage profile, the data storage profile comprising a data storage plan for a plurality of sensor data values corresponding to components of an industrial process; a sensor communication circuit communicatively coupled to a plurality of outputs of a multi-sensor acquisition component communicatively coupled to a plurality of input sensors, the plurality of input sensors configured to provide the plurality of sensor data values, the sensor communication circuit structured to interpret the plurality of sensor data values according to a data collection routine; a sensor data storage implementation circuit structured to store at least a first portion of the plurality of sensor data values in response to the data storage profile; 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.

18. The apparatus of claim 17, further comprising: wherein the plurality of input sensors comprises a plurality of mobile data collector units; an expert system circuit structured to self-organize the plurality of mobile data collector units using a swarm optimization algorithm; and a policy automation engine circuit structured to access a plurality of policies, the plurality of policies comprising rules and protocols related to at least one of: interconnectivity between the plurality of mobile data collector units, interconnectivity between at least one of the plurality of mobile data collector units and the sensor communication circuit.

19. The apparatus of claim 18, further comprising: a data marketplace circuit structured to access a data marketplace and obtain at least one external sensor data value from the data marketplace, the external sensor data value comprising a sensor data value from an offset industrial production process; and wherein the data marketplace circuit is further structured to store at least a second portion of the plurality of sensor data values on the data marketplace.

20. The apparatus of claim 19, wherein the plurality of policies further comprises rules and protocols related to sensor data values stored on the data marketplace.

21. The apparatus of claim 20, wherein the plurality of policies further comprises rules and protocols related to external sensor data values available from the data marketplace.

22. The apparatus of claim 21, wherein the sensor data storage implementation circuit is further structured to store a distributed ledger, wherein the distributed ledger stores at least one of a transaction associated with the data marketplace, and a subset of the sensor data values.