Core automated monitoring system

• US 5,309,485 A
• Filed: 07/06/1992
• Issued: 05/03/1994
• Est. Priority Date: 07/06/1992
• Status: Expired due to Fees

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Chao, Fred C.-C.
• Primary Examiner(s): Walsh, Donald P.
• Assistant Examiner(s): VOSS, FREDERICK
• Application Number:
  US07/909,343
• Time in Patent Office: 666 Days
• Field of Search: 376/215, 376/216, 376/217, 376/254, 376/255
• US Class Current: 376/215
• CPC Class Codes: G21C 17/00 Monitoring; Testing measuring in general G01; Maintaining
• CPC Class Codes: G21D 3/001 Computer implemented control
• CPC Class Codes: Y02E 30/00 Energy generation of nuclear origin
• CPC Class Codes: Y02E 30/30 Nuclear fission reactors
• CPC Class Codes: Y10S 706/90 Fuzzy logic

Abstract

An automated monitoring system and method of operation is provided for a nuclear reactor having a pressure vessel containing a reactor core for boiling water to generate steam. A plurality of monitors provide signals for respective monitoring parameters for monitoring operation of the reactor, and a computer includes a database therein containing predetermined setpoints for the monitoring parameters. The computer identifies abnormal and normal behavior of the monitoring parameters based on the database, and determines cause of abnormal behavior of the monitoring parameters using artificial intelligence. A warning i also provided to identify the cause of the monitoring parameter abnormal behavior. And, automatic mitigation action may also be effected.

Claims

1. A core automated monitoring system (CAMSYS) comprising:

a nuclear reactor including a reactor pressure vessel containing a nuclear reactor core for boiling water in said vessel to generate steam;

a plurality of monitors for monitoring operation of said nuclear reactor, each monitor providing a signal for a respective monitoring parameter; and

a CAMSYS computer including;

a database containing predetermined setpoints for said monitoring parameters;

means for identifying abnormal and normal behavior of said monitoring parameters based on said database;

means for determining cause of abnormal behavior of said monitoring parameters including predetermined artificial intelligence rules associated with each, primary one, of said monitoring parameters for determining said abnormal behavior cause based on performance of preselected related, secondary, ones of said monitoring parameters; and

means for determining a control parameter to mitigate said monitoring parameter abnormal behavior.

2. A CAMSYS according to claim 1 further comprising means for providing a warning identifying said monitoring parameter abnormal behavior cause.

3. A CAMSYS according to claim 2 wherein said secondary monitoring parameters are preselected for each primary monitoring parameter to determine said abnormal behavior cause based on all three of:

predetermined analytical transient and accident operating performance of said reactor;

actual operating records of transient and accident operating performance of said reactor; and

interrelationship of said primary and secondary monitoring parameters based on predetermined reactor physics and thermal hydraulic principles.

4. A CAMSYS according to claim 2 wherein said secondary monitoring parameters are preselected for each primary monitoring parameter to determine said abnormal behavior cause based on at least one of:

predetermined analytical transient and accident operating performance of said reactor;

actual operating records of transient and accident operating performance of said reactor; and

interrelationship of said primary and secondary monitoring parameters based on predetermined reactor physics and thermal hydraulic principles.

5. A CAMSYS according to claim 4 wherein said primary monitoring parameter is neutron flux and said secondary monitoring parameters include core flowrate and control rod density change rate;

and

said artificial intelligence rules identify a recirculation flow control system problem as a cause of abnormal behavior of said neutron flux exceeding a given setpoint wherein said core flowrate also exceeds a given setpoint without normal demand therefor and said control rod density change rage is substantially zero.

6. A CAMSYS according to claim 4 wherein said CAMSYS computer further comprises

means for adjusting said control parameter to mitigate said monitoring parameter abnormal behavior.

7. A CAMSYS according to claim 6 further including a nuclear system protection system (NSPS) operatively joined to said monitors and effective to cause reactor trip and operation of reactor safety systems;

and

wherein said behavior identifying means determine rate of said abnormal behavior including a slow transient, a fast transient relative to said slow transient, and a severe transient faster than said fast transient, with said slow, fast, and severe transients effecting different levels of mitigation.

8. For a nuclear reactor including a reactor pressure vessel containing a nuclear reactor for boiling water in said vessel to generate steam, and a plurality of monitors for monitoring operation of said nuclear reactor, each monitor providing a signal for a respective monitoring parameter, a method of operation comprising:

providing a database containing predetermined setpoints for said monitoring parameters;

identifying abnormal and normal behavior of said monitoring parameters based on said database;

automatically determining cause of abnormal behavior of said monitoring parameters in a computer based on said database and predetermined artificial intelligence rules associated with each, primary one, of said monitoring parameters for determining said abnormal behavior cause based on performance of preselected related, secondary, ones of said monitoring parameters; and

automatically determining a control parameter to mitigate said monitoring parameter abnormal behavior.

9. A method according to claim 8 further comprising

adjusting said control parameter to mitigate said monitoring parameter abnormal behavior.

10. A method according to claim 9 further comprising providing a warning identifying said monitoring parameter abnormal behavior cause.

11. A method according to claim 10 wherein said primary monitoring parameter is neutron flux and said secondary monitoring parameters include core flowrate and control rod density change rate;

and

said artificial intelligence rules identify a recirculation flow control system problem as a cause of abnormal behavior of said neutron flux exceeding a given setpoint wherein said core flowrate also exceeds a given setpoint without normal demand therefor and said control rod density change rage is substantially zero.