METHODS AND SYSTEMS FOR DETECTION IN AN INDUSTRIAL INTERNET OF THINGS DATA COLLECTION AND PRODUCTION ENVIRONMENT WITH A DISTRIBUTED LEDGER

Abstract

Methods and systems for detection in an industrial Internet of Things data collection and production environment using a distributed ledger are disclosed. An example monitoring system for data collection in a production environment may include a data collector communicatively coupled to a plurality of input channels, each input channel operatively coupled to at least one piece of equipment of the production environment. The system may further include a distributed ledger to store the detection values and a data acquisition circuit to interpret at least a portion of the detection values. The system may further include a data analysis circuit to identify a status corresponding to the production environment in response to the portion of the detection values and a response circuit to adjust a parameter of the production environment in response to the status.

Claims

1. A monitoring system for data collection in a production environment, the system comprising: a data collector communicatively coupled to a plurality of input channels, each of the plurality of input channels operatively coupled to at least one piece of equipment of the production environment; a distributed ledger structured to store a plurality of detection values collected from the plurality of input channels; a data acquisition circuit communicatively coupled to the distributed ledger, and structured to interpret at least a portion of the plurality of detection values; a data analysis circuit structured to identify a status corresponding to the production environment in response to the at least a portion of the plurality of detection values; and a response circuit structured to adjust a parameter of the production environment in response to the status.

2. The monitoring system of claim 1, 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 identified status corresponding to the production environment.

3. The monitoring system of claim 2, wherein the self-organized swarm of data collectors is further configured to optimize data collection by iteratively improving an outcome of the identified status.

4. The monitoring system of claim 3, wherein the self-organized swarm of data collectors is further configured to organize by performing at least one operation selected from the operations consisting of: adjusting a location of at least one of the data collectors; adjusting a sampling rate of a sensor associated with at least one of the plurality of input channels; and adjusting a coupling arrangement between at least one of the data collectors and at least one of the plurality of input channels.

5. The monitoring system of claim 3, wherein the outcome of the identified status comprises at least one parameter selected from the parameters consisting of: a production outcome, a product quality description, a product yield description, a product quantity description, a product variability description, a process completion time, a product purity result, and a production capacity.

6. The monitoring system of claim 1, wherein the data analysis circuit is further structured to determine a data collection parameter for any one or more of the plurality of input channels, and wherein the distributed ledger is further structured to store the data collection parameter.

7. The monitoring system of claim 6, wherein the data collection parameter comprises at least one parameter selected from the parameters consisting of: a data quality parameter, a data consistency parameter, a data efficiency parameter, a data comprehensiveness parameter, a data reliability parameter, a data effectiveness parameter, and a data storage utilization parameter.

8. The monitoring system of claim 7, 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 iteratively improve the data collection parameter.

9. The monitoring system of claim 1, wherein the response circuit is further structured to adjust the parameter by performing 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 monitoring system of claim 1, wherein the plurality of detection values is distributed from the data collector to the distributed ledger based on at least one of a network condition, an intelligent, remote management of a distribution of the plurality of detection values, or a self-organization of the data collector.

11. The monitoring system of claim 1, wherein the status of the production environment comprises at least one of: a current state of the at least one piece of equipment, a current condition of the at least one piece of equipment, a current stage of a production in the production environment, or a confirmation of the current stage of the production in the production environment.

12. The monitoring system of claim 1, wherein the data analysis circuit is further structured to utilize an expert system diagnostic tool to identify the status, wherein the expert system diagnostic tool comprises at least one of a rule-based expert system or a model-based expert system, and wherein the expert system diagnostic tool is structured to identify changes in a noise pattern of the at least one piece of equipment.

13. The monitoring system of claim 1, wherein the response circuit is further structured to rebalance a process load between components of the production environment to extend a life of a component, improve a probability of process success, or facilitate maintenance on a component.

14. A computer-implemented method for data collection in a production environment, the method comprising: collecting data from a plurality of input channels communicatively coupled to a data collector, each of the plurality of input channels operatively coupled to at least one piece of equipment of the production environment; storing a plurality of detection values collected from the plurality of input channels in a distributed ledger; interpreting the plurality of detection values from the distributed ledger; identifying a status corresponding to the production environment in response to the plurality of detection values; and adjusting a parameter of the production environment in response to the status.

15. The computer-implemented method of claim 14, further comprising determining a data collection parameter for any one or more of the plurality of input channels.

16. The computer-implemented method of claim 15, further comprising storing the data collection parameter on the distributed ledger.

17. The computer-implemented method of claim 14, wherein adjusting the parameter 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.

18. The computer-implemented method of claim 14, wherein the plurality of detection values is distributed from the data collector to the distributed ledger based on at least one of: a network condition, an intelligent, remote management of a distribution of the plurality of detection values, or a self-organization of the data collector.

19. The computer-implemented method of claim 14, wherein the status of the production environment comprises at least one of: a current state of the at least one piece of equipment, a current condition of the at least one piece of equipment, a current stage of a production in the production environment, or a confirmation of the current stage of the production in the production environment.

20. The computer-implemented method of claim 14, wherein adjusting the parameter further comprises rebalancing a process load between components of the production environment to extend a life of a component, improve a probability of process success, or facilitate maintenance on a component.