Research on Prediction Method of Sludge Bulking Based on ANN and Grey Markov Model

被引：0
|
作者：
Yu Guang-ping [1 ,2 ]
Wang Jing-yang [1 ]
Yuan Ming-zhe [1 ,2 ]
Yu Yang [1 ]
机构：
[1] Chinese Acad Sci, Shenyang Inst Automat, Guangzhou, Guangdong, Peoples R China
[2] Chinese Acad Sci, Shenyang Inst Automat, Shenyang, Liaoning Provin, Peoples R China
来源：
2015 IEEE INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (CYBER) | 2015年
关键词：
Prediction of sludge bulking; Rough set theory; Artificial Neural Networks; Soft measurement Technique; NEURAL-NETWORK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Sludge volume index (SVI) can evaluate and reflect the aggregation of activated sludge sediment properties accurately. It is an important parameter to predict sludge hulking. Generally, if SVI value is too high, the description is sludge settling performance is poor. It will occur or has occurred sludge hulking. But SVI cannot he online measurement, offline assay data obtained for a long time or other issues. To solve this problem, this paper has applied soft -sensing technology for the sludge volume index that reflects sludge bulking, using rough set to reduce the instrumental variables then construct the soft sensing model with RBF neural network to complete the dataset of sludge volume index, and then, employed the grey Markov model to predict the dataset to collect the important information of sludge bulking in the quantitative respect, in order to achieve real-time prediction of sludge bulking.
引用
收藏
页码：1622 / 1627
页数：6
相关论文
共 50 条
  • [21] Grain Yield Prediction Based on the Metabolic Grey - Markov Integration Model
    Fan, Chao
    Chen, Fangfang
    Lin, Hao
    Yang, Litao
    Ndlovu, Ashley
    JOURNAL OF GREY SYSTEM, 2021, 33 (02): : 95 - 108
  • [22] Life Prediction of Hydraulic Concrete Based on Grey Residual Markov Model
    Gong, Li
    Gong, Xuelei
    Liang, Ying
    Zhang, Bingzong
    Yang, Yiqun
    JOURNAL OF INFORMATION PROCESSING SYSTEMS, 2022, 18 (04): : 457 - 469
  • [23] Study of Equipment Material Demand Prediction Method Based on Time-continuous Grey Markov Model
    Zhang L.
    Li S.-M.
    Zhu G.
    Binggong Xuebao/Acta Armamentarii, 2017, 38 (09): : 1862 - 1866
  • [24] Deformation prediction research based on improved Saito's method with Verhulst grey model
    Miao, S. J.
    Tan, W. H.
    Hou, Z. F.
    Li, P. L.
    BOUNDARIES OF ROCK MECHANICS: RECENT ADVANCES AND CHALLENGES FOR THE 21ST CENTURY, 2008, : 919 - +
  • [25] Prediction Research of Death Number in Construction Accident Based on Unbiased Grey-Fuzzy-Markov Chain Method
    Li, Yu
    Li, Mengnan
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON MATERIAL, MECHANICAL AND MANUFACTURING ENGINEERING, 2015, 27 : 560 - 566
  • [26] Sludge bulking prediction method for Sewage treatment plant based on GWO-CPSO algorithm
    Xue, Tonglai
    Gao, Yutao
    Zhou, Meng
    Han, Fei
    Liu, Chun
    2023 IEEE 12TH DATA DRIVEN CONTROL AND LEARNING SYSTEMS CONFERENCE, DDCLS, 2023, : 1449 - 1454
  • [27] Prediction of Filamentous Sludge Bulking using a State-based Gaussian Processes Regression Model
    Liu, Yiqi
    Guo, Jianhua
    Wang, Qilin
    Huang, Daoping
    SCIENTIFIC REPORTS, 2016, 6
  • [28] Prediction of Filamentous Sludge Bulking using a State-based Gaussian Processes Regression Model
    Yiqi Liu
    Jianhua Guo
    Qilin Wang
    Daoping Huang
    Scientific Reports, 6
  • [29] Prediction method of the aeroengine based on extended grey model
    1600, ICIC Express Letters Office (05):
  • [30] Prediction and analysis of domestic water consumption based on optimized grey and Markov model
    Wang, Zhaocai
    Wu, Xian
    Wang, Huifang
    Wu, Tunhua
    WATER SUPPLY, 2021, 21 (07) : 3887 - 3899
12345