Web-based expert system for foundry pollution prevention

被引:0
|
作者
Moynihan, GP [1 ]
机构
[1] Univ Alabama, Intelligent Mfg Syst Lab, Dept Ind Engn, Tuscaloosa, AL 35487 USA
来源
ENVIRONMENTALLY CONSCIOUS MANUFACTURING III | 2004年 / 5262卷
关键词
Expert system; foundry; pollution prevention; artificial intelligence;
D O I
10.1117/12.514931
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Pollution prevention is a complex task. Many small foundries lack the in-house expertise to perform these tasks. Expert systems are a type of computer information system that incorporates artificial intelligence. As noted in the literature, they provide a means of automating specialized expertise. This approach may be further leveraged by implementing the expert system on the internet (or world-wide web). This will allow wide distribution of the expertise to a variety of geographically-dispersed foundries. The purpose of this research is to develop a prototype web-based expert system to support pollution prevention for the foundry industry. The prototype system identifies potential en emissions for a specified process, and also provides recommendations for the prevention of these contaminants. The system is viewed as an initial step toward assisting the foundry industry in better meeting government pollution regulations, as well as improving operating efficiencies within these companies.
引用
收藏
页码:193 / 200
页数:8
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