Analytical generator of key performance indicators for pivoting on metrics for comprehensive visualizations
First Claim
1. A method for guiding an operator of an industrial process by learning from expertise of another operator, the method comprising:
- accessing parameter data of an industrial process;
accessing human-machine interface (HMI) data and correlating with the accessed parameter data;
determining that the parameter data characterizes a problem warranting operator intervention in the industrial process;
tracking a process visualization utilized by an operator and a subsequent control correction made by the operator;
defining a solution comprising a key performance indicator (KPI) indicative of the problem as characterized;
defining the solution further comprising;
detecting a plurality of process HMI visualizations utilized by operator;
comparing correction parameters presented by the plurality of process HMI visualizations against an optimum set of historical parameter data compiled from the parameter data; and
weighting one of the plurality of process HMI visualizations for the solution including generating a weighted HMI visualization based on departure of a selected KPI in a presented HMI visualization from the optimum set of historical parameter data; and
presenting the weighted HMI visualization for the KPI, and a control correction that addresses the KPI.
1 Assignment
0 Petitions
Accused Products
Abstract
A guidance system of an industrial process captures process parameter data that is correlated with a human-machine interface (HMI) in order to learn how an experienced operator selects visualizations of key performance indicators (KPI) in order to take a corrective action to address an abnormal or non-optimal performance condition. Such solution learning can be invoked to recognize onset of another similar occurrence and responding by suggesting visualizations utilized by the experienced operator to diagnose the problem. Analytics can further determine which visualizations provided useful information relative to the problem. In addition, the corrective action can be suggested or automatically implemented.
59 Citations
20 Claims
-
1. A method for guiding an operator of an industrial process by learning from expertise of another operator, the method comprising:
-
accessing parameter data of an industrial process; accessing human-machine interface (HMI) data and correlating with the accessed parameter data; determining that the parameter data characterizes a problem warranting operator intervention in the industrial process; tracking a process visualization utilized by an operator and a subsequent control correction made by the operator; defining a solution comprising a key performance indicator (KPI) indicative of the problem as characterized;
defining the solution further comprising;detecting a plurality of process HMI visualizations utilized by operator; comparing correction parameters presented by the plurality of process HMI visualizations against an optimum set of historical parameter data compiled from the parameter data; and weighting one of the plurality of process HMI visualizations for the solution including generating a weighted HMI visualization based on departure of a selected KPI in a presented HMI visualization from the optimum set of historical parameter data; and presenting the weighted HMI visualization for the KPI, and a control correction that addresses the KPI. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
-
-
14. An apparatus for guiding an industrial process, comprising:
-
a first network interface configured to access and store parameter data of an industrial process; a second network interface configured to access at least one human-machine interface (HMI) data correlated with the parameter data; and a key performance indicator (KPI) guidance system configured to; determine that the parameter data characterize a problem warranting operator intervention in the industrial process; track a process visualization utilized by an operator and a subsequent control correction made by the operator; and define a solution comprising a KPI indicative of the problem as characterized, wherein the KPI guidance system, to define the solution, is further configured to; detect a plurality of visualizations selected by the operator; compare parameters presented by the plurality of visualizations against an optimum set of historical data; weight one of the plurality of visualizations based on departure of a selected KPI in a presented visualization from the optimum set; define a visualization for the KPI; and define a control correction that addresses the KPI. - View Dependent Claims (15, 16, 17, 18, 19)
-
-
20. An industrial process system, comprising:
-
a process component configured to generate parameter data; a human-machine interface (HMI) configured to display the parameter data and provide operator controls for the process component; a storage device configured to retain historical parameter data and HMI data; a first network interface configured to access real-time parameter data of an industrial process; a second network interface configured to access in real-time the HMI data correlated with the historical parameter data; and a key performance indicator (KPI) guidance system configured to communicate via the first and second network interfaces and further configured to; determine that the real-time parameter data characterize a problem warranting operator intervention in the industrial process, track a process HMI visualization utilized by an operator and a subsequent control correction made by the operator; define a solution comprised of a KPI indicative of the problem as characterized, a solution HMI visualization for the KPI, and a control correction that addresses the KPI, wherein, to define the solution, the KPI guidance system is further configured to; detect a plurality of process HMI visualizations selected by the operator; compare parameters presented by the plurality of process HMI visualizations against an optimum set of the historical parameter data; weight the plurality of process HMI visualizations to generate a plurality of weighted process HMI visualizations based on departure of a selected KPI in a presented HMI visualization from the optimum set; and select based on the plurality of weighted process HMI visualizations a solution HMI visualization.
-
Specification