An Information Offering System for Operation Support Based on Plant Functional Structure.

• OHGA Yukiharu

  Energy Research Laboratory, Hitachi Ltd.

• SEKI Hiroshi

  Energy Research Laboratory, Hitachi Ltd.

Abstract

A plant information offering system was proposed to support operators in their selection and confirmation of the required information for plant operation under transient conditions in nuclear power plants. The system features include an automatic selection method for information and a dialog input method. The former selects plant information in response to plant status changes and operators' demands. The selection is performed based on the knowledge and data as struc- tured by the plant functional structure; i.e. a means-ends abstraction hierarchy model. In the latter, both speech and CRT touch inputs are transformed into words in Japanese to realize an arbitrary input mode combination. The words are analyzed as a sentence before transforming them into a demand for related programs. A prototype system was evaluated using a BWR simulator, assuming abnormal transients such as loss of feedwater. The contents of the offered information were checked based on emergency operation guidelines. It was confirmed that appropriate information items are auto- matically selected in real time. Answers are generated in reply to the operators' demands. They include information added to reflect the plant conditions. As for dialog, simple and quick input is realized by combining speech and CRT touch according to the operating situation.

Journal

• Journal of Nuclear Science and Technology

  Journal of Nuclear Science and Technology 32 (8), 727-739, 1995

  Atomic Energy Society of Japan

Keywords

• nuclear power plants
• BWR type reactors
• plant information offering system
• reactor operation
• reactor operators
• operation support
• means-ends abstraction hierarchy
• information selection
• input analysis
• speech input
• CRT touch input
• information systems

Details

• CRID: 1390282679070471296
• NII Article ID: 10002072877
• NII Book ID: AA00703720
• DOI: 10.3327/jnst.32.727
• COI: 1:CAS:528:DyaK2MXotFOkur4%3D
• ISSN: 18811248
• ISSN: 00223131
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed