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