Multi-sensor Information Fusion Estimation Method of the Flow Speed of the Sewage Pipe

被引：0
|
作者：
Li Heng [1 ]
He Tian-su [1 ]
Zhao Zheng-ping [1 ]
Wang Zhong-xin [1 ]
Zhang Yuan [1 ]
Sun Hui-fen [2 ]
机构：
[1] Fuyang Normal Univ, Sch Comp & Informat Engn, Fuyang, Peoples R China
[2] China Telcom Co Ltd, Fuyang Branch, Fuyang, Peoples R China
来源：
CONFERENCE PROCEEDINGS OF 2019 5TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR) | 2019年
基金：
安徽省自然科学基金;
关键词：
sewage pipe; flow speed; mum-sensor fusion; autoregressive moving average model; WASTE-WATER; NEURAL-NETWORKS; MODEL;
D O I：
10.1109/iccar.2019.8813487
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve the accuracy and delay problems in the traditional flow speed estimation method in the sewage pipe network system, we develop a kind of multi-sensor fusion estimation method. Autoregressive moving average model is used in the estimation process, 3 kinds of fusion method is compared. An example is presented to verify the algorithm, Matlab is used to caculate, and some pictures to explain our points.
引用
收藏
页码：624 / 627
页数：4
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