Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor.
This work proposes an on-line hybrid intelligent control system based on a genetic algorithm (GA) evolving fuzzy wavelet neural network software sensor to control dissolved oxygen (DO) in an anaerobic/anoxic/oxic process for treating papermaking wastewater. With the self-learning and memory abilitie...
| Publicado en: | Journal of Environmental Management Vol. 187; pp. 550 - 560 |
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| Autores principales: | , , , , , , , |
| Formato: | Artículo |
| Publicado: |
Academic Press Inc.
Feb2017
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=120296736&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 120296736 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Feb2017 vid: 187 pid: 735 pub: Academic Press Inc. artinfo: ui: 120296736 10.1016/j.jenvman.2016.10.056 ppf: 550 ppct: 10 formats: tig: atl: Improving the efficiency of dissolved oxygen control using an on-line control system based on a genetic algorithm evolving FWNN software sensor. aug: au: Ruan, Jujun Zhang, Chao Li, Ya Li, Peiyi Yang, Zaizhi Chen, Xiaohong Huang, Mingzhi Zhang, Tao affil: School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-Sen University, Guangzhou 510275, PR China Department of Water Resources and Environment, Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, Sun Yat-sen University, Guangzhou 510275, PR China su: Dissolved oxygen in water Genetic algorithms Neural circuitry Papermaking Sewage sug: subj: Paper (except Newsprint) Mills Dissolved oxygen in water Genetic algorithms Neural circuitry Papermaking Sewage keyword: Dissolved oxygen control Genetic algorithm evolving fuzzy wavelet neural network Software sensor Wastewater treatment process Dissolved oxygen control Genetic algorithm evolving fuzzy wavelet neural network Software sensor Wastewater treatment process ab: This work proposes an on-line hybrid intelligent control system based on a genetic algorithm (GA) evolving fuzzy wavelet neural network software sensor to control dissolved oxygen (DO) in an anaerobic/anoxic/oxic process for treating papermaking wastewater. With the self-learning and memory abilities of neural network, handling the uncertainty capacity of fuzzy logic, analyzing local detail superiority of wavelet transform and global search of GA, this proposed control system can extract the dynamic behavior and complex interrelationships between various operation variables. The results indicate that the reasonable forecasting and control performances were achieved with optimal DO, and the effluent quality was stable at and below the desired values in real time. Our proposed hybrid approach proved to be a robust and effective DO control tool, attaining not only adequate effluent quality but also minimizing the demand for energy, and is easily integrated into a global monitoring system for purposes of cost management. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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