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The application of data-level fusion algorithm based on adaptive-weighted and support degree in intelligent household greenhouse
Wang CT(王长涛)1; Zhu Y(朱毅)2; Han ZH(韩忠华)1,3
作者部门数字工厂研究室
会议名称9th International Conference on Modelling, Identification and Control, ICMIC 2017
会议日期July 10-12, 2017
会议地点Kunming, China
会议录名称Proceedings of 2017 9th International Conference On Modelling, Identification and Control, ICMIC 2017
出版者IEEE
出版地New York
2017
页码728-733
收录类别EI
EI收录号20183105620938
产权排序3
ISBN号978-1-5090-6573-8
关键词intelligent household greenhouse data-level fusion adaptive-weighted support degree
摘要Aiming at the error of same type sensors' data in household greenhouse environment, data-level fusion is used to reduce the error and obtain more accurate value of same type sensors' data. In order to improve the precision and reliability of data-level fusion, a weighting-coefficient construction method based on support degree and adaptive-weighted is proposed, which not only ensures the reliability of data fusion, but also makes the fusion result more stable. The accuracy of data fusion directly determines the precision and quality of greenhouse intelligent control. The experimental results show that the fusion result adopting the proposed method of this paper is superior to the result of traditional average-estimation fusion and data fusion based on support degree.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22358
专题数字工厂研究室
通讯作者Zhu Y(朱毅)
作者单位1.Faculty of Information and Control Engineering, Dirct. of the Department of Electrical and Intelligent Building, Shenyang Jianzhu University, China
2.Shenyang Jianzhu University Shenyang, China
3.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang, China
推荐引用方式
GB/T 7714
Wang CT,Zhu Y,Han ZH. The application of data-level fusion algorithm based on adaptive-weighted and support degree in intelligent household greenhouse[C]. New York:IEEE,2017:728-733.
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