Cloud computing as a basis for equipment health monitoring service

• US 8,204,717 B2
• Filed: 04/01/2009
• Issued: 06/19/2012
• Est. Priority Date: 04/01/2009
• Status: Active Grant

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: McLaughlin, Paul F., Staggs, Kevin P.
• Primary Examiner(s): Raymond, Edward
• Application Number:
  US12/416,848
• Publication Number:
  US 20100256795A1
• Time in Patent Office: 1,175 Days
• Field of Search: 702/17, 702/18, 702182-185, 702/188
• US Class Current: 702/188
• CPC Class Codes: G05B 19/4183 characterised by data acquisition, e.g. workpiece identification
• CPC Class Codes: G05B 2219/31282 Data acquisition, BDE MDE
• CPC Class Codes: G05B 2219/31288 Archive collected data into history file
• CPC Class Codes: G05B 2219/31318 Data analysis, using different formats like table, chart
• CPC Class Codes: G05B 2219/31337 Failure information database
• CPC Class Codes: G05B 2219/32371 Predict failure time by analysing history fault logs of same machines in databases
• CPC Class Codes: G05B 23/0283 Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 50/04 Manufacturing
• CPC Class Codes: Y02P 90/02 Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
• CPC Class Codes: Y02P 90/30 Computing systems specially adapted for manufacturing
• CPC Class Codes: Y02P 90/80 Management or planning

Abstract

A system includes a computing cloud having at least one data storage unit and at least one processing unit. The computing cloud is configured to provide at least one service. The system also includes a plurality of clients each configured to communicate with the computing cloud and at least one industrial automation unit and to transmit information associated with the at least one industrial automation unit to the computing cloud. The at least one processing unit in the computing cloud is configured to determine a status of the at least one industrial automation unit using the information provided the clients.

Claims

1. A system comprising:

a computing cloud comprising one or more data storage units and one or more processing units, wherein the computing cloud is configured to provide at least one service and shared hardware and software resources; and

a plurality of clients;

wherein the computing cloud is configured to provide the at least one service and the shared hardware and software resources for use by the clients;

wherein each client is configured to communicate with the computing cloud and at least one industrial automation unit and to transmit information associated with the at least one industrial automation unit to the computing cloud; and

wherein at least one of the one or more processing units in the computing cloud is configured to determine a status of the at least one industrial automation unit using the information provided by the clients.

2. The system of claim 1, wherein at least one of the one or more processing units in the computing cloud is configured to perform predictive analysis on the information provided by the clients to determine a health of the at least one industrial automation unit.

3. The system of claim 1, wherein at least one of the one or more data storage units in the computing cloud is configured to store the information associated with the at least one industrial automation unit.

4. The system of claim 1, wherein at least one of the one or more processing units in the computing cloud is configured to process data associated with equipment operation prior to an equipment failure in a first location and captured by at least one of the clients.

5. The system of claim 4, wherein at least one of the one or more processing units in the computing cloud is configured to use the data associated with the equipment operation prior to the equipment failure to predict a future failure of equipment in a second location.

6. The system of claim 5, wherein:

at least one of the one or more processing units in the computing cloud is configured to identify a client associated with the equipment in the second location and generate a warning of the predicted future failure; and

the system further comprises;

a warning module configured to issue a warning to the client associated with the equipment in the second location prior to the predicted future failure.

7. The system of claim 1, wherein the shared hardware and software resources include processing resources, memory resources, and network capacity resources.

8. The system of claim 1, wherein at least one of the one or more processing units in the computing cloud is configured to predict a life expectancy of the at least one industrial automation unit based upon data associated with past equipment failures captured by the clients.

9. The system of claim 8, wherein at least one of the one or more processing units in the computing cloud is configured to use the predicted life expectancy to schedule maintenance before another failure occurs.

21. The system of claim 1, wherein the computing cloud supports a Service Oriented Architecture (SOA).

10. A method of determining a health of equipment, the method comprising:

providing, using a cloud computing node, shared hardware and software resources for use by a plurality of clients;

receiving, using the shared hardware and software resources, at least one set of information associated with an industrial unit;

analyzing the set of information using at least one processing unit in the computing cloud, wherein the analysis of the set of information comprises comparing the set of information with one or more empirical sets of information obtained from a plurality of industrial units; and

determining a status of the industrial unit in real time.

11. The method of claim 10, wherein the status of the industrial unit comprises information associated with an expected failure.

12. The method of claim 10, wherein the set of information is obtained by a first client, wherein the set of information includes data associated with operation of the industrial unit prior to failure of the industrial unit in a first location, and wherein the method further comprises:

predicting a future failure of a second industrial unit in a second location using the data associated with operation of the industrial unit prior to failure of the industrial unit;

identifying a second client associated with the second industrial unit; and

warning the second client of the future failure of the second industrial unit.

13. The method of claim 12, wherein the first client connects to the computing cloud through a secure connection.

14. The method of claim 10, wherein the set of information is obtained through at least one sensor attached to the industrial unit.

15. The method of claim 14, wherein the sensor is configured to obtain at least one of temperature data, pressure data, airflow data, viscosity data of a lubricant, and vibration data associated with the industrial unit.

16. A system comprising:

a computing cloud comprising a database with empirical information associated with failures of one or more industrial tools; and

a plurality of clients associated with at least one of the industrial tools;

wherein the computing cloud is configured to provide shared hardware and software resources for use by the clients; and

wherein the computing cloud is configured to receive at least some of the empirical information from the clients using the shared hardware and software resources resources and to determine a health of the at least one industrial tool in real time using the received empirical data.

17. The system of claim 16, wherein the computing cloud is configured to determine a life expectancy of the at least one industrial tool.

18. The system of claim 16, wherein the empirical data is obtained from the plurality of clients.

19. The system of claim 16, wherein the computing cloud is further configured to process data associated with tool operation prior to a tool failure in a first location and captured by a first client, use the data to predict a future failure of a tool in a second location, identify a second client associated with the tool in the second location, and warn the second client of an impending tool failure.

20. The system of claim 16, wherein at least one of the clients is configured to connect to the computing cloud through a secure connection.