Decision Support System to Analyze the Cause of Special Equipment Accident

被引：0
|
作者：
Shi, JinWei [1 ]
Ouyang, Weiping [2 ]
Qiu, Jun [2 ]
机构：
[1] Baoshan Dist Inst Special Equipment Supervis & In, Shanghai, Peoples R China
[2] Shanghai Inst Special Equipment Inspect & Tech Re, Shanghai, Peoples R China
来源：
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY AND ENVIRONMENTAL TECHNOLOGY (ICREET 2016) | 2017年 / 112卷
关键词：
Decision Support System; Special Equipment; Complex problem; BAYESIAN NETWORKS; INFERENCE;
D O I：
暂无
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The development and application of Decision Support System (DSS) promote the development of related industries, special equipment accident analysis also need the support of decision support system due to variety kinds of special equipment and changeable accident cause. It was expounded definition, development situation, classification, arithmetic and existing problems of DSS according to the characteristics of special equipment accidents analysis. Research shows that there are both difference and relation among five kinds of DSS. It introduces Bayesian network and the difference of Bayesian network modeling method. The reasoning modeling method based on knowledge could use both the empirical knowledge of experts and the computer aided technology, but it is limited by the quantity and quality of expert experience knowledge similar to artificial modeling method based on expert. The application of big data, cloud computing and other related technologies in DSS would stimulate the development of DSS. It provided the technology accumulation for exploitation and application of special equipment accident analysis DSS.
引用
收藏
页码：339 / 344
页数：6
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