LARGE-SCALE COMPREHENSIVE REAL-TIME MONITORING FRAMEWORK FOR INDUSTRIAL FACILITIES

• US 20120303150A1
• Filed: 05/23/2011
• Published: 11/29/2012
• Est. Priority Date: 05/23/2011
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Krishnaswamy, Meenakshi Sundaram, Boggarapu, Venkata Naresh Kumar, Pothakamuri, Srikanth
• Granted Patent: US 9,310,790 B2
• Time in Patent Office: Days
• US Class Current: 700/110
• CPC Class Codes: G05B 17/02 electric
• CPC Class Codes: G05B 23/0251 Abstraction hierarchy, e.g. "complex systems", i.e. system is divided in subsystems, subsystems are monitored and results are combined to decide on status of whole system

Abstract

A method includes associating multiple real-time applications with a framework. The real-time applications include applications for monitoring or controlling equipment in at least one industrial facility. Each application has at least one input variable and at least one output variable. The method also includes identifying relationships between the input and output variables of the applications to identify data dependencies. The method further includes receiving data updates at the framework and notifying at least one of the applications of the data updates based on the data dependencies to support data-driven operation of the framework. The data-driven operation of the framework provides data to the applications to support performance monitoring of the equipment, analysis of the equipment'"'"'s operation, and/or identification of abnormal equipment conditions.

Claims

1. A method comprising:

associating multiple real-time applications with a framework, the real-time applications comprising applications for monitoring or controlling equipment in at least one industrial facility, each application having at least one input variable and at least one output variable;

identifying relationships between the input and output variables of the applications to identify data dependencies; and

receiving data updates at the framework and notifying at least one of the applications of the data updates based on the data dependencies to support data-driven operation of the framework;

wherein the data-driven operation of the framework provides data to the applications to support at least one of;

performance monitoring of the equipment, analysis of the equipment'"'"'s operation, and identification of abnormal equipment conditions.

2. The method of claim 1, wherein the data-driven operation of the framework maintains multiple sequences of operations in the applications, the sequences of operations performed using the data.

3. The method of claim 1, wherein identifying the relationships comprises:

identifying relationships between the input and output variables of each application to identify a variable dependency matrix for each application; and

combining the variable dependency matrices for the applications to generate a final variable dependency matrix defining a hierarchy of variables.

4. The method of claim 1, wherein the applications comprise both native applications embedded within an execution environment and custom applications added to the execution environment.

5. The method of claim 1, wherein:

receiving the data updates comprises receiving the data updates in one or more data streams; and

notifying at least one of the applications comprises using a real-time data service.

6. The method of claim 1, wherein the framework comprises multiple layers, the layers comprising:

a data collector layer configured to receive the data from data sources;

a data validation layer configured to validate the received data;

an extraction layer configured to identify key process indicators associated with the equipment using the data;

a fault diagnosis layer configured to identify faults associated with sub-components of the equipment; and

a health index integration layer configured to identify health index values for the equipment using the identified faults.

7. The method of claim 6, further comprising:

executing an asset manager that uses the layers of the framework to monitor operation of the equipment.

8. The method of claim 7, further comprising:

providing a graphical user interface (GUI) for the asset manager, the GUI identifying the equipment and statuses of the equipment.

9. The method of claim 8, wherein the GUI comprises:

a tree map comprising multiple blocks, each block associated with a piece of equipment; and

an indicator of each block identifying the status of the associated piece of equipment and its sub-components.

10. The method of claim 6, wherein:

the equipment comprises a piece of equipment having a rotating component;

the data comprises vibration data; and

the key process indicators comprise a frequency spectrum associated with the vibration data.

11. A computer readable medium embodying a computer program, the computer program comprising:

computer readable program code for identifying relationships between input and output variables of multiple real-time applications associated with a framework to identify data dependencies, the applications comprising applications for monitoring or controlling equipment in at least one industrial facility, each application having at least one input variable and at least one output variable; and

computer readable program code for receiving data updates at the framework and notifying at least one of the applications of the data updates based on the data dependencies to support data-driven operation of the framework;

wherein the data-driven operation of the framework is configured to provide data to the applications to support at least one of;

performance monitoring of the equipment, analysis of the equipment'"'"'s operation, and identification of abnormal equipment conditions.

12. The computer readable medium of claim 11, wherein the framework is configured to maintain multiple sequences of operations in the applications, the sequences of operations performed using the data.

13. The computer readable medium of claim 11, wherein the applications comprise both native applications embedded within an execution environment and custom applications added to the execution environment;

and

further comprising computer readable program code for supporting a real-time data service between the native and custom applications.

14. The computer readable medium of claim 11, wherein the framework comprises multiple layers, the layers comprising:

a data collector layer configured to receive data from data sources;

a data validation layer configured to validate the received data;

an extraction layer configured to identify key process indicators associated with the equipment using the data;

a fault diagnosis layer configured to identify faults associated with sub-components of the equipment; and

a health index integration layer configured to identify health index values for the equipment using the identified faults.

15. The computer readable medium of claim 14, further comprising:

computer readable program code implementing an asset manager that is configured to use the layers of the framework to monitor operation of the equipment.

16. The computer readable medium of claim 15, further comprising:

computer readable program code for providing a graphical user interface (GUI) for the asset manager, the GUI identifying the equipment and statuses of the equipment;

wherein the GUI comprises a tree map comprising multiple blocks, each block associated with a piece of equipment, an indicator of each block identifying the status of the associated piece of equipment and its sub-components.

17. A system comprising:

at least one interface configured to receive data associated with equipment in at least one industrial facility; and

at least one processing unit configured to;

identify relationships between input and output variables of multiple real-time applications associated with a framework to identify data dependencies, the real-time applications comprising applications for monitoring or controlling the equipment, each application having at least one input variable and at least one output variable; and

receive data updates at the framework and notify at least one of the applications of the data updates based on the data dependencies to support data-driven operation of the framework;

wherein the data-driven operation of the framework is configured to provide the data to the applications to support at least one of;

performance monitoring of the equipment, analysis of the equipment'"'"'s operation, and identification of abnormal equipment conditions.

18. The system of claim 17, wherein the at least one processing unit comprises multiple processing units configured to execute the framework in a distributed manner.

19. The system of claim 18, wherein the processing units are configured to execute real-time data services to enable data access in a transparent manner.

20. The system of claim 17, wherein the framework comprises multiple layers, the layers comprising:

a data collector layer configured to receive the data from data sources;

a data validation layer configured to validate the received data;

an extraction layer configured to identify key process indicators associated with the equipment using the data;

a fault diagnosis layer configured to identify faults associated with sub-components of the equipment; and

a health index integration layer configured to identify health index values for the equipment using the identified faults.