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

Abstract

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

Claims

1. A monitoring system for data collection in a tank, 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 component of the tank; 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 tank in response to at least a portion of the plurality of detection values; and a response circuit structured to adjust a parameter of the tank 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 at least in part on the identified status corresponding to the tank.

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 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.

5. The monitoring system of claim 4, 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.

6. The monitoring system of claim 5, wherein the self-organized swarm of data collectors is further configured to iteratively improve the data collection parameter.

7. The monitoring system of claim 1, wherein adjusting the parameter comprises at least one of: changing a component type, changing operating parameters for the tank, initiating amelioration of an issue, or making recommendations regarding future components for the tank.

8. The monitoring system of claim 1, wherein adjusting the parameter comprises at least one of: changing a tank level value, changing a tank temperature value, changing a tank pressure value, and adjusting operations of an agitator operatively coupled to the tank.

9. 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.

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

11. The monitoring system of claim 1, wherein the status of the tank comprises at least one of: a level of the tank, a temperature of the tank, a pressure of the tank, a vibration amount of the tank, a fluid composition in the tank, and a fluid viscosity of a fluid in the tank.

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 tank.

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

14. The monitoring system of claim 1, wherein the response circuit is further structured to rebalance a process load between a plurality of components of the tank, to extend a life of a component of the tank, or to facilitate maintenance on a component of the tank.

15. A computer-implemented method for data collection in a tank, 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 component of the tank; 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 tank in response to the plurality of detection values; and adjusting a parameter of the tank in response to the status.

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

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

18. The computer-implemented method of claim 15, wherein adjusting the parameter comprises at least one of: changing a component type, changing operating parameters for the tank, initiating amelioration of an issue, or making recommendations regarding future components for the tank.

19. The computer-implemented method of claim 15, wherein adjusting the parameter comprises at least one of: changing a tank level value, changing a tank temperature value, changing a tank pressure value, and adjusting operations of an agitator operatively coupled to the tank.

20. The computer-implemented method of claim 15, further comprising distributing the plurality of detection values 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.

21. The computer-implemented method of claim 15, wherein the status of the tank comprises at least one of: a current state of the tank, a current condition of the tank, a current stage of a production in the tank, and a confirmation of the current stage of the production in the tank.

22. The computer-implemented method of claim 15, wherein the status of the tank comprises at least one of: a level of the tank, a temperature of the tank, a pressure of the tank, a vibration amount of the tank, a fluid composition in the tank, and a fluid viscosity of a fluid in the tank.

23. The computer-implemented method of claim 15, wherein adjusting the parameter further comprises rebalancing a process load between components of a production environment comprising the tank, to extend a life of at least one of the components, improving a probability of process success, or facilitating maintenance on at least one of the components.

24. The computer-implemented method of claim 15, wherein adjusting the parameter further comprises rebalancing a process load between a plurality of components of the tank, extending a life of a component of the tank, or facilitating maintenance on a component of the tank.