DocumentCode
2069036
Title
CBR based emergency case generating system under engineering accidents
Author
Chang, Chunguang ; Xiang Ma ; Xiaoyu Song ; Bo Gao
Author_Institution
Sch. of Manage., Shenyang Jianzhu Univ., Shenyang, China
Volume
1
fYear
2010
fDate
10-12 Dec. 2010
Firstpage
145
Lastpage
149
Abstract
With the flourishing development of construction and real estate industry, engineering accidents happen more frequently. The purpose of this paper is to generate emergency case as quick as possible so as to improve the quick emergency reaction capability when engineering accident happens. The flow of CBR based emergency case generating system (CBR/ECGS) under engineering accidents is studied. Both the static and dynamic case presentation technologies for CBR/ECGS are designed, and the case retrieval, case adaptation and case maintenance technologies for CBR/ECGS are proposed. It can be seen from running result of CBR/ECGS that, comparing with the result under the mode in which artificial adjustment is allowed, the overcast degree of emergency cases generated by CBR/ECGS under the mode in which only automatic system adjustment is allowed is almost the same. The validity of CBR/ECGS proposed in this paper is validated, and CBR is suitable for solving complex, non-structure problems such as emergency case generating under engineering accidents.
Keywords
accidents; case-based reasoning; construction industry; emergency services; fuzzy set theory; maintenance engineering; public administration; real estate data processing; CBR based emergency case generating system; CBR-ECGS; artificial adjustment; case adaptation; case based reasoning; case maintenance; case retrieval; construction industry; engineering accidents; real estate industry; Adaptation model; Fires; Materials; Wireless sensor networks; accidents; case-based reasoning; emergency case; engineering project;
fLanguage
English
Publisher
ieee
Conference_Titel
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-6788-4
Type
conf
DOI
10.1109/PIC.2010.5687419
Filename
5687419
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