Research on the Method of Soft-sensing Intelligent Compensation for BOD Biosensors in Sewage

被引：0
|
作者：
Wang, Xiaoyi [1 ]
Liu, Zaiwen [1 ]
Dong, Shuoqi [1 ]
Zhao, Xiaoping [1 ]
Xu, Jiping [1 ]
Li, Wandong [1 ]
An, Xiaodong [2 ]
机构：
[1] Beijing Technol & Business Univ, Coll Comp & Informat Engn, Beijing, Peoples R China
[2] Taiyuan Yi tai hao Sci & Technol Co Ltd, Shanxi, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE, INTELLIGENT SYSTEM AND ENVIRONMENT, VOL 1 | 2011年 / 104卷
基金：
北京市自然科学基金;
关键词：
BOD; soft sensor; Lawrence - McCarty formula; PLS; least-squares method;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
PLS (Partial Least-Squares) is adopted to carry on non-linear compensation to the BOD (Biochemical Oxygen Demand) soft-sensing mechanism model on the basis of studying on Lawrence - McCarty formula's BOD mechanism model. Compared with BOD biosensors adopting different materials and the least squares compensation method, the method has obvious advantages, improves the soft-sensing accuracy of BOD markedly and provides an effective way for the accurate measurement of water quality BOD in the process of waste water disposal.
引用
收藏
页码：25 / +
页数：2
相关论文
共 50 条
  • [1] Research on the soft-sensing of biochemical process
    Lv Zhe
    Chang Yu-qing
    Wang Fu-li
    Proceedings of 2006 Chinese Control and Decision Conference, 2006, : 249 - 252
  • [2] Research on Soft-sensing of Industrial Sewage Measurement Based upon Improved BPNN Model
    Xia Linlin
    Wang Jianguo
    Zhang Lihui
    Miao Guijuan
    ISTM/2009: 8TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, 2009, : 1627 - 1630
  • [3] Study on the intelligent soft sensing method for sewage disposal system
    Liu, ZW
    Wang, ZX
    Xue, FX
    Hou, CZ
    Qi, GQ
    ICIA 2004: PROCEEDINGS OF 2004 INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, 2004, : 181 - 183
  • [4] Research on the Soft-Sensing Method of Indicator Diagram of Beam Pumping Unit
    Zhao, Huaijun
    Wang, Junping
    Liu, Tianyu
    Yu, Yang
    Hu, Dingxing
    Cai, Chenxin
    SENSORS, 2024, 24 (06)
  • [5] Soft-sensing technique based on extension method
    He, B
    Zhu, XF
    FIFTH INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND CONTROL TECHNOLOGY, 2003, 5253 : 38 - 42
  • [6] Soft-Sensing Modeling Based on GK-LSSVM Method for Online Predictions of BOD in Activated Sludge Process
    Luo, Fei
    Qiao, Xinghong
    Liao, Weihao
    2017 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION SCIENCES (ICRAS), 2017, : 134 - 138
  • [7] Research on the soft-sensing method of polished rod load of beam pumping unit
    Zhao H.
    He K.
    Hu D.
    Lu M.
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2021, 42 (09): : 160 - 171
  • [8] Research on the Soft-sensing Modeling Method for the Naphtha Dry Point of an Atmospheric Tower
    Li, Chuankun
    Zhao, Dongfeng
    Liu, Yi
    Li, Jie
    Wang, Chunli
    Gao, Xinjiang
    2018 37TH CHINESE CONTROL CONFERENCE (CCC), 2018, : 8060 - 8066
  • [9] Research on the Monitoring System Method of GA-BP Network Soft-sensing
    Wang, Guicheng
    Zhao, Yuanyuan
    Zhang, Zhansheng
    Zhao, Wendan
    Gao, Shuzhi
    Xu, Xinhe
    2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 3742 - +
  • [10] Research on Soft-sensing Technique of Vehicle State Parameters
    Du, Feng
    Guan, Zhiwei
    Liu, Chunhui
    Kong, Chao
    FRONTIERS OF MECHANICAL ENGINEERING AND MATERIALS ENGINEERING II, PTS 1 AND 2, 2014, 457-458 : 1212 - 1215
12345