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基于BP神经网络的城镇污水厂活性炭自动投加系统研究 |
方荣业1, 史宇滨2, 蒋婷1, 李威1, 史惠祥1 |
1. 浙江大学 环境与资源学院, 浙江 杭州 310058; 2. 华东勘测设计研究院有限公司, 浙江 杭州 310014 |
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A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network. |
FANG Rongye1, SHI Yubin2, JIANG Ting1, LI Wei1, SHI Huixiang1 |
1. College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China; 2. Huadong Engineering Corporation Limited, Hangzhou 310014, China |
引用本文:
方荣业, 史宇滨, 蒋婷, 李威, 史惠祥. 基于BP神经网络的城镇污水厂活性炭自动投加系统研究[J]. 浙江大学学报(理学版), 2018, 45(4): 468-475.
FANG Rongye, SHI Yubin, JIANG Ting, LI Wei, SHI Huixiang. A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network.. Journal of Zhejiang University (Science Edition), 2018, 45(4): 468-475.
链接本文:
https://www.zjujournals.com/sci/CN/10.3785/j.issn.1008-9497.2018.04.014
或
https://www.zjujournals.com/sci/CN/Y2018/V45/I4/468
|
[1] |
巴能军,周志伟,董俊,等. 助滤和再生粉末活性炭吸附技术用于工业废水深度处理[J]. 给水排水,2017,43(2):71-74. BA N J,ZHOU Z W,DONG J,et al. Filtration and regeneration powdered activated carbon adsorption technology for advanced treatment of industrial wastewater[J]. Water & Wastewater Engineering,2017,43(2):71-74.
|
[2] |
司景萍,马继昌,牛家骅,等. 基于模糊神经网络的智能故障诊断专家系统[J]. 振动与冲击,2017,36(4):164-171. SI J P,MA J C,NIU J Y,et al. An intelligent fault diagnosis expert system based on fuzzy neural network[J]. Journal of Vibration and Shock,2017,36(4):164-171.
|
[3] |
张延风. 烧杯搅拌试验条件的最优化[J]. 企业技术开发,2014,33(4):44-45. ZHANG Y F. Optimization of jar test conditions[J]. Technological Development of Enterprise,2014,33(4):44-45.
|
[4] |
蒋绍阶,仇洪建,段果,等. 基于短程反馈BP神经网络的混凝投药控制中试[J]. 中国给水排水,2013,29(11):26-29. JIANG S J,QIU H J,DUAN G,et al. Coagulant dosage control based on short range feedback BP neural network[J]. China Water & Wastewater,2013,29(11):26-29.
|
[5] |
陈金辉,赵雷振,杨宗宵. 改进的BP神经网络在故障诊断中的应用[J]. 河北科技大学学报,2011,32(5):455-459. CHEN J H,ZHAO L Z,YANG Z X. Application of improved BP neural network in fault diagnosis[J]. Journal of Hebei University of Science and Technology,2011,32(5):455-459.
|
[6] |
焦斌,叶明星. BP神经网络隐层单元数确定方法[J]. 上海电机学院学报,2013,16(3):113-116. JIAO B,YE M X. Determination of hidden unit number in a BP neural network[J]. Journal of Shanghai Dianji University,2013,16(3):113-116.
|
[7] |
李友坤. BP神经网络的研究分析及改进应用[D]. 合肥:安徽理工大学,2012. LI Y K. Analysis and Improvement Applications of BP Neural Network[D]. Hefei:Anhui University of Science and Technology,2012.
|
[8] |
DHARMAN S, CHANDRAMOULI V, LINGIREDDY S. Predicting total organic carbon removal efficiency and coagulation dosage using artificial neural networks[J]. Environmental Engineering Science, 2012, 29(8):743-750.
|
[9] |
NAUCK D, KRUSE R. A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error back propagation[J]. IEEE International Conference on Neural Networks, 1996, 2(2):1022-1027.
|
[10] |
MARTELLI G. Stability of PID-controlled second-order time-delay feedback systems[J]. Automatica, 2009, 45(11):2718-2722.
|
[11] |
王素青,姜维福. 基于MATLAB/Simulink的PID参数整定[J]. 自动化技术与应用,2009,28(3):24-26. WANG S Q,JIANG W F. PID tuning based on MATLAB/Simulink[J]. Techniques of Automation and Applications,2009,28(3):24-26.
|
[12] |
雷斌,吕凤玉,马殷元. 基于PLC和组态王的农村水厂监控系统设计[J]. 自动化技术与应用,2010,29(12):100-102. LEI B,LYU F Y,MA Y Y. Design of supervision system based on PLC and king view for the rural waterworks[J]. Techniques of Automation and Applications,2010,29(12):100-102.
|
[13] |
许甜. 城市水处理厂自动化系统的研究与设计[D]. 西安:西安建筑科技大学,2015. XU T. Research and Design of Municipal Water Treatment Plant Automation System[D]. Xi'an:Xi'an University of Architecture and Technology,2015.
|
[14] |
蔡先峰. WinCC组态软件在大足选煤厂的应用[J]. 选煤技术,2011(1):56-58. CAI X F. Application of WinCC configuration software in Dazu coal preparation plant[J]. Coal Preparation Technology,2011(1):56-58.
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