METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION ENVIRONMENT WITH A DISTRIBUTED LEDGER FOR LONG BLOCKS OF HIGH RES DATA

Abstract

Methods and systems for detection in an industrial internet of things data collection environment with a distributed ledger for long blocks of high res data are disclosed. An example monitoring system for data collection in an industrial environment may include a data collector to collect high data rate data, wherein the data collector is communicatively coupled to a plurality of input channels connected high data rate sources; and a distributed ledger to store high data rate data, wherein the data collector is configured to distribute high data rate data from the plurality of input channels to the distributed ledger based on at least one of: a network condition; an intelligent, remote management of a distribution of the high data rate data; or a self-organization of the data collector.

Claims

1. A monitoring system for data collection in an industrial environment, the system comprising: a data collector structured to collect high data rate data, wherein the data collector is communicatively coupled to a plurality of input channels, each of the plurality of input channels connected to a corresponding one of a plurality of high data rate sources; and a distributed ledger structured to store high data rate data collected from the plurality of input channels, wherein the data collector is configured to distribute high data rate data from the plurality of input channels to the distributed ledger based on at least one of: a network condition; an intelligent, remote management of a distribution of the high data rate data; or a self-organization of the data collector.

2. The monitoring system of claim 1, further comprising a data acquisition circuit structured to interpret a plurality of detection values from the collected high data rate data, each of the plurality of detection values corresponding to at least one of the plurality of input channels, and wherein the plurality of detection values comprises a high data rate detection parameter.

3. The monitoring system of claim 2, further comprising, a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint with respect to the high data rate detection parameter, wherein the data handling constraint is associated with at least one of the data collector, at least one of the plurality of input channels, or the data acquisition circuit.

4. The monitoring system of claim 3, further comprising a response circuit structured to adjust a data selection parameter to thereby adjust a data volume distributed by the data collector in response to the data handling constraint.

5. The monitoring system of claim 1, wherein at least one of the plurality of high data rate sources comprises at least one of frequency information or vibration information.

6. The monitoring system of claim 2, wherein the data collector comprises one of a plurality of data collectors comprising a self-organized swarm of data collectors, wherein the self-organized swarm of data collectors organize among themselves to optimize data collection based, at least in part, on the high data rate detection parameter.

7. The monitoring system of claim 1, wherein the distributed ledger is further structured to store a high data rate detection parameter comprising at least a portion of data from one of the plurality of the high data rate sources.

8. The monitoring system of claim 1, wherein the high data rate data comprises a data structure supporting at least one of: a haptic interface for data presentation, a heat map interface for data presentation, or an interface that operates with self-organized tuning of an interface layer for data presentation.

9. A computer-implemented method for data collection in an industrial environment, the method comprising: collecting high data rate data from a plurality of input channels communicatively coupled to a data collector, each of the plurality of input channels connected to a corresponding one of a plurality of high data rate sources; distributing at least a portion of the collected high data rate data from the plurality of input channels as high data rate data, wherein the distributing is performed based, at least in part, on at least one of: a network condition; an intelligent, remote management of the distribution of the high data rate data; or a self-organization of a data collector performing the distributing; and storing the distributed high data rate data on a distributed ledger.

10. The computer-implemented method of claim 9, further comprising interpreting a plurality of detection values from the collected high data rate data, each of the plurality of detection values corresponding to at least one of the plurality of input channels, and wherein the plurality of detection values comprises a high data rate detection parameter.

11. The computer-implemented method of claim 10, further comprising analyzing the plurality of detection values by evaluating a data handling constraint with respect to the high data rate detection parameter.

12. The computer-implemented method of claim 11, further comprising, adjusting a data selection parameter, thereby adjusting a data volume collected or a data volume distributed, in response to the data handling constraint.

13. The computer-implemented method of claim 9, wherein at least one of the plurality of high data rate sources comprises at least one of frequency information or vibration information.

14. The computer-implemented method of claim 12, further comprising anticipating state information of at least one of: at least one of the plurality of input channels, at least one of the plurality of high data rate sources, or the data collector; and adjusting the data selection parameter in response to the anticipated state information.

15. The computer-implemented method of claim 14, wherein anticipating the state information comprises operating a machine learning facility and/or a pattern recognition component to iteratively improve the adjusting the data selection parameter.

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, each of the plurality of input channels connected to a corresponding one of a plurality of high data rate sources; a distributed ledger structured to store high data rate data from the plurality of input channels, wherein the data collector is configured to distribute data from the plurality of input channels to the distributed ledger based on at least one of: a network condition; an intelligent, remote management of a distribution of the high data rate data; or a self-organization of the data collector.

17. The apparatus of claim 16, further comprising a data acquisition circuit structured to interpret a plurality of detection values from the collected high data rate data, each of the plurality of detection values corresponding to at least one of the plurality of input channels.

18. The apparatus of claim 17, further comprising a data analysis circuit structured to analyze the plurality of detection values by evaluating a data handling constraint with respect to a high data rate detection parameter.

19. The apparatus of claim 18, wherein the data handling constraint is associated with at least one of the data collector, at least one of the plurality of input channels, or the data acquisition circuit.

20. The apparatus of claim 18, further comprising a response circuit structured to adjust a data selection parameter to thereby adjust a data volume distributed by the data collector in response to the data handling constraint.

21. The apparatus of claim 20, wherein the data handling constraint is a data handling capability description of at least one of the data collector, at least one of the plurality of input channels, or the data acquisition circuit.

22. The apparatus of claim 21, wherein the data handling constraint is a maximum data handling capability.

23. The apparatus of claim 16, wherein at least one of the plurality of high data rate sources comprises at least one of frequency information or vibration information.

24. The apparatus of claim 16, wherein the high data rate data comprises a data structure supporting at least one of: a haptic interface for data presentation, a heat map interface for data presentation, or an interface that operates with self-organized tuning of an interface layer for data presentation.