Temporary expanding integrated monitoring network

• US 8,352,049 B2
• Filed: 03/16/2011
• Issued: 01/08/2013
• Est. Priority Date: 03/10/2000
• Status: Expired due to Term

• Current Assignee: Smiths Detection (Smiths Group International Holdings Ltd.)
• Original Assignee: Smiths Detection (Smiths Group International Holdings Ltd.)
• Inventors: Hsiung, Chang-Meng B., Munoz, Bethsabeth, Roy, Ajoy Kumar, Steinthal, Michael Gregory, Sunshine, Steven A., Vicic, Michael Allen, Zhang, Shou-Hua
• Primary Examiner(s): HARTMAN JR, RONALD D
• Application Number:
  US13/049,294
• Publication Number:
  US 20120041574A1
• Time in Patent Office: 664 Days
• Field of Search: 700 47- 49, 700 51- 52, 700 54- 55, 706/14
• US Class Current: 700/47
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G05B 19/042 using digital processors G05B19/05 takes precedence
• CPC Class Codes: G05B 19/4093 characterised by part programming, e.g. entry of geometrical information as taken from a technical drawing, combining this with machining and material information to obtain control information, named part programme, for the NC machine
• CPC Class Codes: G05B 19/41855 by local area network [LAN], network structure
• CPC Class Codes: G05B 19/41865 characterised by job scheduling, process planning, material flow
• CPC Class Codes: G05B 19/41875 characterised by quality surveillance of production
• CPC Class Codes: G05B 2219/31265 Control process by combining history and real time data
• CPC Class Codes: G05B 2219/31337 Failure information database
• CPC Class Codes: G05B 2219/31435 Paging support with display board, status monitoring and report compiling
• CPC Class Codes: G05B 2219/31457 Factory remote control, monitoring through internet
• CPC Class Codes: G05B 2219/32129 Select program for specified machine from library, file server
• CPC Class Codes: G05B 2219/32194 Quality prediction
• CPC Class Codes: G05B 2219/32196 Store audit, history of inspection, control and workpiece data into database
• CPC Class Codes: G05B 2219/32201 Build statistical model of past normal proces, compare with actual process
• CPC Class Codes: G05B 2219/32404 Scada supervisory control and data acquisition
• CPC Class Codes: G05B 2219/33209 Protocol, mailbox, email, mail system
• CPC Class Codes: G05B 2219/35095 Features library
• CPC Class Codes: G05B 23/0221 Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
• CPC Class Codes: G05B 23/0235 based on a comparison with predetermined threshold or range, e.g. "classical methods", carried out during normal operation; threshold adaptation or choice; when or how to compare with the threshold
• CPC Class Codes: G05B 23/0243 model based detection method, e.g. first-principles knowledge model
• CPC Class Codes: G05B 23/0254 : based on a quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
• CPC Class Codes: G05B 23/0286 : Modifications to the monitored process, e.g. stopping operation or adapting control
• CPC Class Codes: G05B 23/0294 : Optimizing process, e.g. process efficiency, product quality
• CPC Class Codes: Y02A 90/10 : Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
• 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 90/80 : Management or planning

Abstract

A system for monitoring an industrial process and taking action based on the results of process monitoring. Actions taken may include process control, paging, voicemail, and input for e-enterprise systems. The system includes an input module for receiving a plurality of parameters from a process for manufacture of a substance or object. The system also includes a library module. The library module includes a plurality of computer aided processes. Any one of the computer aided processes is capable of using each of the plurality of parameters to compare at least two of the plurality of parameters against a training set of parameters. The training set of parameters is generally predetermined. The computer aided process is also capable of determining if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters. Additionally, the system includes an output module for outputting a result based upon the training set and the plurality of parameters.

Claims

1. A system for monitoring an industrial process, the system comprising a non-transient computer readable medium, the computer readable medium comprising:

a code directed to accessing a process controller;

a code directed to an input module coupled to code directed to the process controller, the input module code being adapted to input a plurality of parameters from a process for manufacture of a substance;

a code directed to a computer aided process module coupled to the process controller, the computer aided process module code being adapted to compare at least two of the plurality of parameters against a predetermined training set of parameters, and being adapted to determine if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters; and

a code directed to an output module coupled to the process controller, the output module code being adapted to output a result based upon the determination of the computer process module code,

wherein the computer aided process is selected from a library comprising a plurality of processes.

2. The system of claim 1 wherein the substance is selected from a petroleum product, a chemical product, a food product, a health product, a cleaning product, a biological product, and other fluid or objects.

3. The system of claim 1 wherein the plurality of parameters are selected from an intrinsic element or an extrinsic element of the process.

4. The system of claim 1 wherein the input module code, the computer aided process module code, and the output module code are provided in a single computer software program.

5. The system of claim 1 wherein the computer aided module code includes an algorithm selected from PCA, HCA, KNN CV KNN Prd, SIMCA CV, SIMCA Prd, Canon Prd, Fisher CV, and SCREAM.

6. The system of claim 1 further comprising a code directed to normalizing, the code directed to normalizing being coupled to the process controller, the normalizing code being adapted to normalize each of the plurality of parameters before input into the computer aided process module.

7. The system of claim 1 wherein the training set of parameters are preprocessed in at least two of the computer aided processes.

8. The system of claim 1 wherein the result is an affirmative response or a negative response, where the response is displayed on a terminal.

9. The system of claim 1 wherein the plurality of processes includes at least a comparing process, a contrasting process, and a functional process.

10. The system of claim 1, wherein the result is communicated to a device configured to adjust an operational parameter of the process.

11. The system of claim 1, wherein the result is communicated to an operator to permit monitoring of the state of the process.

12. The system of claim 1, wherein the result is resident on a server and accessible to a user over a network of computers utilizing a browser software program.

13. The system of claim 1, wherein the plurality of process parameters are acquired over a network of computers.

18. The system of claim 1, wherein the plurality of process parameters are acquired over a network of computers.

14. A system for monitoring an industrial process for the manufacture of materials or objects, the system comprising a non-transient computer readable medium, the computer readable medium comprising:

a code directed to an input module, the input module code being adapted to input a plurality of process parameters from a process for manufacture of a substance or object;

a code directed to a library module coupled to the input module code, the library module code including a plurality of computer aided processes, each of the computer aided processes being capable of determining an output based upon a predetermined training set of the plurality of process parameters; and

a code directed to an output module coupled to the library module code, the output module code being adapted to output a result based upon the predetermined training set and the plurality of process parameters;

wherein each of the computer aided processes compares at least two of the plurality of process parameters against a portion of the training set of parameters and determines if the at least two of the plurality of process parameters are within a predetermined range of the portion of the training set of parameters.

15. The system of claim 14, wherein the result is communicated to a device configured to adjust an operational parameter of the process.

16. The system of claim 14, wherein the result is communicated to an operator to permit monitoring of the state of the process.

17. The system of claim 14, wherein the result is resident on a server and accessible to a user over a network of computers utilizing a browser software program.

19. A method for monitoring an industrial process, the method comprising:

providing a code directed to accessing a process controller;

providing a code directed to an input module coupled to code directed to the process controller;

inputting, using the input module code, a plurality of parameters from a process for manufacture of a substance;

providing a code directed to a computer aided process module coupled to the process controller;

comparing, using the computer aided process module code, at least two of the plurality of parameters against a predetermined training set of parameters;

determining, using the computer aided process module code, if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters;

providing a code directed to an output module coupled to the process controller; and

outputting, using the output module code, a result based upon the determination of the computer aided process module code

wherein the computer aided process is selected from a library comprising a plurality of processes.

20. A system for monitoring an industrial process, the system comprising a non-transient computer readable medium, the computer readable medium comprising:

a code directed to accessing a process controller;

a code directed to an input module coupled to code directed to the process controller, the input module code being adapted to input a plurality of parameters from a process for manufacture of a substance;

a code directed to a computer aided process module coupled to the process controller, the computer aided process module code being adapted to compare at least two of the plurality of parameters against a predetermined training set of parameters, and being adapted to determine if the at least two of the plurality of parameters are within a predetermined range of the training set of parameters; and

a code directed to an output module coupled to the process controller, the output module code being adapted to output a result based upon the determination of the computer process module code,

wherein the result is resident on a server and accessible to a user over a network of computers utilizing a browser software program.