DocumentCode
2641984
Title
Study on Risk Evaluation Intelligent Decision Support System of Urban Gas Pipeline
Author
Liu, Jun E. ; Wang, Xin
Author_Institution
Inf. Sch., Beijing Wuzi Univ., Beijing
fYear
2008
fDate
18-20 June 2008
Firstpage
600
Lastpage
600
Abstract
Risk evaluation intelligent decision support system of urban gas pipeline is supposed to do risk evaluation on the whole system of urban gas pipelines. Based on the risk evaluation theory and took intelligent decision support system as a core, embedding the development model of geographical information system (GIS), it builds a general framework of intelligent decision support system under the GIS environment. The establishment of the system is an important tool to strengthen the scientific nature of making decisions for urban gas pipeline risk management, and to improve the management level of urban gas pipeline. Applying the theory of artificial intelligence, geographical information system and decision support system synthetically it designs the risk evaluation intelligent decision support system of urban gas pipeline to the overall structure. The results form a basis for further improvement and exploitation of such system.
Keywords
decision support systems; gas industry; geographic information systems; knowledge based systems; neural nets; pipelines; risk analysis; artificial intelligence; decision making; geographical information system; intelligent decision support system; neural network; risk evaluation; risk management; urban gas pipeline; Artificial intelligence; Computational modeling; Decision making; Decision support systems; Geographic Information Systems; Intelligent structures; Intelligent systems; Machine intelligence; Pipelines; Risk management;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
Conference_Location
Dalian, Liaoning
Print_ISBN
978-0-7695-3161-8
Electronic_ISBN
978-0-7695-3161-8
Type
conf
DOI
10.1109/ICICIC.2008.527
Filename
4603789
Link To Document