Abstract
An autonomous, decentralized, steel-production process control system aimed at subsystem online expansion and online maintenance together with fault tolerance has been developed. Each subsystem's software, consisting of the system software ACP and the application software, is autonomous. The subsystem software module is driven only by the correct and necessary process data received by the ACP. The resulting data are broadcast along their content code. This autonomous data-driven mechanism makes it possible to test and repair the subsystem software module during the execution of the other modules, since the modules can be independently set in the test mode. The application of the autonomous decentralized software structure to a steel production process control system is described.
| Original language | English |
|---|---|
| Title of host publication | Conference Record - IAS Annual Meeting (IEEE Industry Applications Society) |
| Publisher | Publ by IEEE |
| Pages | 1457-1460 |
| Number of pages | 4 |
| Edition | pt 2 |
| Publication status | Published - 1989 |
| Externally published | Yes |
| Event | Conference Record of the 1989 IEEE Industry Applications Society Annual Meeting - Presented at the 24th IAS Annual Meeting.Part II - San Diego, CA, USA Duration: 1989 Oct 1 → 1989 Oct 5 |
Other
| Other | Conference Record of the 1989 IEEE Industry Applications Society Annual Meeting - Presented at the 24th IAS Annual Meeting.Part II |
|---|---|
| City | San Diego, CA, USA |
| Period | 89/10/1 → 89/10/5 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
Autonomous decentralized steel production process control system. / Mori, Kinji; Suzuki, Yasuo; Kawano, Katsumi; Orimo, Masayuki; Nakai, Kozo; Nakanisi, Hiroaki; Hori, Shinji.
Conference Record - IAS Annual Meeting (IEEE Industry Applications Society). pt 2. ed. Publ by IEEE, 1989. p. 1457-1460.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Autonomous decentralized steel production process control system
AU - Mori, Kinji
AU - Suzuki, Yasuo
AU - Kawano, Katsumi
AU - Orimo, Masayuki
AU - Nakai, Kozo
AU - Nakanisi, Hiroaki
AU - Hori, Shinji
PY - 1989
Y1 - 1989
N2 - An autonomous, decentralized, steel-production process control system aimed at subsystem online expansion and online maintenance together with fault tolerance has been developed. Each subsystem's software, consisting of the system software ACP and the application software, is autonomous. The subsystem software module is driven only by the correct and necessary process data received by the ACP. The resulting data are broadcast along their content code. This autonomous data-driven mechanism makes it possible to test and repair the subsystem software module during the execution of the other modules, since the modules can be independently set in the test mode. The application of the autonomous decentralized software structure to a steel production process control system is described.
AB - An autonomous, decentralized, steel-production process control system aimed at subsystem online expansion and online maintenance together with fault tolerance has been developed. Each subsystem's software, consisting of the system software ACP and the application software, is autonomous. The subsystem software module is driven only by the correct and necessary process data received by the ACP. The resulting data are broadcast along their content code. This autonomous data-driven mechanism makes it possible to test and repair the subsystem software module during the execution of the other modules, since the modules can be independently set in the test mode. The application of the autonomous decentralized software structure to a steel production process control system is described.
UR - http://www.scopus.com/inward/record.url?scp=0024891324&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0024891324&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0024891324
SP - 1457
EP - 1460
BT - Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)
PB - Publ by IEEE
ER -