Development of a knowledge-based information management system for plant maintenance
Creators
- 1. Sungkyunkwan Univ., Seoul (Korea, Republic of)
- 2. Pohang Iron and Steel Company, Pohang (Korea, Republic of)
Description
Recently, the importance of Plant Maintenance(PM) was highly raised to provide efficient plant operation which highly affects the productivity. For this reason, a number of engineering methodologies, such as Risk-Based Inspection(RBI), Fitness For Service guidelines(FFS), Plant Lifecycle Management(PLM), have been applied to improve the plant operation efficiency. Also, a network-based business operation system, which is called ERP(Enterprise Resource Planning), has been introduced in the field of plant maintenance. However, there was no attempt to connect engineering methodologies to the ERP PM system. In this paper, a knowledge-based information system for the plant operation of steel making company has been proposed. This system, which is named as K-VRS(Knowledge-based Virtual Reality System), provides a connection between ERP plant maintenance module and knowledge-based engineering methodologies, and thus, enables network-based highly effective plant maintenance process. The developed system is expected to play a great role for more efficient and safer plant maintenance
Additional details
Publishing Information
- Publisher
- KSME
- Imprint Place
- Seoul (Korea, Republic of)
- Imprint Title
- Proceedings of the KSME 2003 spring annual meeting
- Imprint Pagination
- [CD-ROM]
- Journal Page Range
- [6 p.]
Conference
- Title
- 2003 spring annual meeting of the KSME
- Dates
- 23-25 Apr 2003
- Place
- Busan (Korea, Republic of)
INIS
- Country of Publication
- Korea, Republic of
- Country of Input or Organization
- Korea, Republic of
- INIS RN
- 35090070
- Subject category
- S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Conference, Non-conventional Literature
- Descriptors DEI
- INFORMATION; INSPECTION; INTERNET; KNOWLEDGE BASE; LIFE CYCLE ASSESSMENT; MAINTENANCE; MANAGEMENT; PLANNING; POWER PLANTS
- Descriptors DEC
- COMPUTER NETWORKS
Optional Information
- Notes
- 13 refs, 19 figs, 4 tabs