Ontology-Based Construction of Fault Knowledge Base for Energy-Consuming Equipment

Blast furnace is a kind of high energy consuming equipment, which is difficult to use because of frequent equipment failures and scattered knowledge in operation. In order to cope with these challenges, the concept of ontology is introduced into the field of blast furnace equipment fault, and the ontology knowledge base of blast furnace equipment fault field is constructed by using the seven-step method, and the specific process of each step is described in detail. Based on ontology modeling tool protege, the fault knowledge of blast furnace equipment is modeled and managed in a systematic and structured way, and information sharing and reuse are realized by analyzing the knowledge of blast furnace fault domain. It is proved that the ontology based knowledge base can automatically mine hidden knowledge and semantic reasoning, and the ontology can guide factory operation and improve the fault handling ability of blast furnace.

Authors

Institutions

Publication Details

Published
2024-11-29
DOI
https://doi.org/10.1109/ei264398.2024.10990697
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ontology-Based Construction of Fault Knowledge Base for Energy-Consuming Equipment

Zuxi Gu, Qingjie Guo, Xiaoling Zhang, Dexin Yin et al.
Semantic Web and Ontologies
article

Ontology-Based Construction of Fault Knowledge Base for Energy-Consuming Equipment

Zuxi Gu, Qingjie Guo, Xiaoling Zhang, Dexin Yin, Yi Huang, Shuhao Qiang
article en

Abstract

Blast furnace is a kind of high energy consuming equipment, which is difficult to use because of frequent equipment failures and scattered knowledge in operation. In order to cope with these challenges, the concept of ontology is introduced into the field of blast furnace equipment fault, and the ontology knowledge base of blast furnace equipment fault field is constructed by using the seven-step method, and the specific process of each step is described in detail. Based on ontology modeling tool protege, the fault knowledge of blast furnace equipment is modeled and managed in a systematic and structured way, and information sharing and reuse are realized by analyzing the knowledge of blast furnace fault domain. It is proved that the ontology based knowledge base can automatically mine hidden knowledge and semantic reasoning, and the ontology can guide factory operation and improve the fault handling ability of blast furnace.

Shenyang University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.