{"title":"疏浚产量优化专家系统研究","authors":"Qingfeng Wang, Jian-Zhong Tang","doi":"10.1109/WCICA.2006.1712817","DOIUrl":null,"url":null,"abstract":"Dredging operation is characterized by considerably high cost. For manually control dredging process is of low production and poor efficiency, in order to raise production and reduce unit cost, automatically controlled dredging equipment is urgently required. Expert system based production optimization and control system proposed in this paper is an initial attempt to tackle these problems with artificial technology in this area. To cope with the complicated control and optimization task, a multi-layer multi-agent scheme is introduced in the structure of the expert system. For the variety of knowledge obtained and its considerably large amount, design of knowledge presentation methods is an important aspect of this application, several styles of knowledge presentation methods are incorporated in the developed system. Inference mechanism of the expert system is also briefly described in this paper. Finally, preliminary test results are presented and compared with judgment of experienced operators","PeriodicalId":375135,"journal":{"name":"2006 6th World Congress on Intelligent Control and Automation","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Research on expert system for dredging producation optimization\",\"authors\":\"Qingfeng Wang, Jian-Zhong Tang\",\"doi\":\"10.1109/WCICA.2006.1712817\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Dredging operation is characterized by considerably high cost. For manually control dredging process is of low production and poor efficiency, in order to raise production and reduce unit cost, automatically controlled dredging equipment is urgently required. Expert system based production optimization and control system proposed in this paper is an initial attempt to tackle these problems with artificial technology in this area. To cope with the complicated control and optimization task, a multi-layer multi-agent scheme is introduced in the structure of the expert system. For the variety of knowledge obtained and its considerably large amount, design of knowledge presentation methods is an important aspect of this application, several styles of knowledge presentation methods are incorporated in the developed system. Inference mechanism of the expert system is also briefly described in this paper. Finally, preliminary test results are presented and compared with judgment of experienced operators\",\"PeriodicalId\":375135,\"journal\":{\"name\":\"2006 6th World Congress on Intelligent Control and Automation\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 6th World Congress on Intelligent Control and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCICA.2006.1712817\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 6th World Congress on Intelligent Control and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCICA.2006.1712817","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on expert system for dredging producation optimization
Dredging operation is characterized by considerably high cost. For manually control dredging process is of low production and poor efficiency, in order to raise production and reduce unit cost, automatically controlled dredging equipment is urgently required. Expert system based production optimization and control system proposed in this paper is an initial attempt to tackle these problems with artificial technology in this area. To cope with the complicated control and optimization task, a multi-layer multi-agent scheme is introduced in the structure of the expert system. For the variety of knowledge obtained and its considerably large amount, design of knowledge presentation methods is an important aspect of this application, several styles of knowledge presentation methods are incorporated in the developed system. Inference mechanism of the expert system is also briefly described in this paper. Finally, preliminary test results are presented and compared with judgment of experienced operators