Abstract
This paper describes the objectives, approaches, and current status of an intelligent information display agent called semantic representation interface (SI). The SI displays diagnostic information from functional viewpoint as well as from behavioral, operational, and structural ones to plant operators in an anomalous situation. The functional information of plant will help operators to understand overall plant situation and the necessity of a recommended counter action written in operation manuals or suggested by the SI. Diagnostic information of anomaly identification and finding possible counter actions are derived by the qualitative reasoning based on a functional model. The selection of suitable counter actions which will be developed in a near future is made using a fast future prediction code generated by an intelligent modular simulation system. The derived diagnostic information is displayed in a graphical way such that an operator can understand the information as a pattern. In addition to the graphical display, necessary graphs to understand plant situation and the derived diagnostic information are automatically shown. The applicability of the diagnostic techniques applied the qualitative reasoning is discussed through applications to an oil refinery plant.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Publisher | IEEE |
| Volume | 5 |
| Publication status | Published - 1999 |
| Event | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: Oct 12 1999 → Oct 15 1999 |
Other
| Other | 1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' |
|---|---|
| City | Tokyo, Jpn |
| Period | 10/12/99 → 10/15/99 |
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ASJC Scopus subject areas
- Hardware and Architecture
- Control and Systems Engineering
Cite this
Display of diagnostic information from multiple viewpoints in an anomalous situation of complex plants. / Gofuku, Akio; Tanaka, Yutaka.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. Vol. 5 IEEE, 1999.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Display of diagnostic information from multiple viewpoints in an anomalous situation of complex plants
AU - Gofuku, Akio
AU - Tanaka, Yutaka
PY - 1999
Y1 - 1999
N2 - This paper describes the objectives, approaches, and current status of an intelligent information display agent called semantic representation interface (SI). The SI displays diagnostic information from functional viewpoint as well as from behavioral, operational, and structural ones to plant operators in an anomalous situation. The functional information of plant will help operators to understand overall plant situation and the necessity of a recommended counter action written in operation manuals or suggested by the SI. Diagnostic information of anomaly identification and finding possible counter actions are derived by the qualitative reasoning based on a functional model. The selection of suitable counter actions which will be developed in a near future is made using a fast future prediction code generated by an intelligent modular simulation system. The derived diagnostic information is displayed in a graphical way such that an operator can understand the information as a pattern. In addition to the graphical display, necessary graphs to understand plant situation and the derived diagnostic information are automatically shown. The applicability of the diagnostic techniques applied the qualitative reasoning is discussed through applications to an oil refinery plant.
AB - This paper describes the objectives, approaches, and current status of an intelligent information display agent called semantic representation interface (SI). The SI displays diagnostic information from functional viewpoint as well as from behavioral, operational, and structural ones to plant operators in an anomalous situation. The functional information of plant will help operators to understand overall plant situation and the necessity of a recommended counter action written in operation manuals or suggested by the SI. Diagnostic information of anomaly identification and finding possible counter actions are derived by the qualitative reasoning based on a functional model. The selection of suitable counter actions which will be developed in a near future is made using a fast future prediction code generated by an intelligent modular simulation system. The derived diagnostic information is displayed in a graphical way such that an operator can understand the information as a pattern. In addition to the graphical display, necessary graphs to understand plant situation and the derived diagnostic information are automatically shown. The applicability of the diagnostic techniques applied the qualitative reasoning is discussed through applications to an oil refinery plant.
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UR - http://www.scopus.com/inward/citedby.url?scp=0033352539&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0033352539
VL - 5
BT - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
PB - IEEE
ER -