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