The use of artificial intelligence for safeguarding fuel reprocessing plants
Recorded process data from the ''Minirun'' campaigns conducted at the Barnwell Nuclear Fuel Plant (BNFP) in Barnwell, South Carolina during 1980 to 1981 have been utilized to study the suitability of computer-based Artificial Intelligence (AI) methods for process monitoring for safeguards purposes. The techniques of knowledge engineering were used to formulate the decision-making software which operates on the process data customarily used for process operations. The OPS5 AI language was used to construct an Expert System for this purpose. Such systems are able to form reasoned conclusions from incomplete, inaccurate or otherwise ''fuzzy'' data, and to explain the reasoning that led to them. The programs were tested using minirun data taken during simulated diversions ranging in size from 1 to 20 L of solution that had been monitored previously using conventional procedural techniques. 13 refs., 3 figs.
- Research Organization:
- Oak Ridge National Lab., TN (USA); Carnegie-Mellon Univ., Pittsburgh, PA (USA)
- DOE Contract Number:
- AC05-84OR21400
- OSTI ID:
- 5458760
- Report Number(s):
- CONF-871110-6-FP; ON: DE88005053
- Resource Relation:
- Conference: 3. international conference on facility operations safeguards interface, San Diego, CA, USA, 29 Nov 1987; Other Information: Paper copy only, copy does not permit microfiche production
- Country of Publication:
- United States
- Language:
- English
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Related Subjects
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
FUEL REPROCESSING PLANTS
NUCLEAR MATERIALS MANAGEMENT
SAFEGUARDS
NUCLEAR MATERIALS DIVERSION
DETECTION
ARTIFICIAL INTELLIGENCE
EXPERT SYSTEMS
MONITORS
URANIUM
ACTINIDES
ELEMENTS
MANAGEMENT
MEASURING INSTRUMENTS
METALS
NUCLEAR FACILITIES
055001* - Nuclear Fuels- Safeguards
Inspection
& Accountability- Technical Aspects
990210 - Supercomputers- (1987-1989)