A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究)
近年来，活性炭吸附技术逐渐成为深度处理的主流技术，但粉末活性炭投加系统仍处于人工控制阶段，现场需要技术人员依靠经验确定活性炭投加量，易造成出水水质不稳定、活性炭药耗大等问题.以浙江省嘉善县某城镇污水处理厂的深度处理工艺为研究背景，以粉末活性炭投加系统为研究对象，针对活性炭投加控制系统滞后、非线性、复杂等问题，建立了 BP神经网络前馈预测-PID反馈控制的自动投加控制系统.实践证明，该系统具有较强的自适应能力和较高的控制精度，出水COD达标率较人工控制提高了 8.88%，活性炭日均消耗量削减了 16.61%，取得了较好的经济效益....
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Zhejiang University Press
2018-07-01
|
| Series: | Zhejiang Daxue xuebao. Lixue ban |
| Subjects: | |
| Online Access: | https://doi.org/10.3785/j.issn.1008-9497.2018.04.014 |
| _version_ | 1797235677190946816 |
|---|---|
| author | FANGRongye(方荣业) SHIYubin(史宇滨) JIANGTing(蒋婷) LIWei(李威) SHIHuixiang(史惠祥) |
| author_facet | FANGRongye(方荣业) SHIYubin(史宇滨) JIANGTing(蒋婷) LIWei(李威) SHIHuixiang(史惠祥) |
| author_sort | FANGRongye(方荣业) |
| collection | DOAJ |
| description | 近年来，活性炭吸附技术逐渐成为深度处理的主流技术，但粉末活性炭投加系统仍处于人工控制阶段，现场需要技术人员依靠经验确定活性炭投加量，易造成出水水质不稳定、活性炭药耗大等问题.以浙江省嘉善县某城镇污水处理厂的深度处理工艺为研究背景，以粉末活性炭投加系统为研究对象，针对活性炭投加控制系统滞后、非线性、复杂等问题，建立了 BP神经网络前馈预测-PID反馈控制的自动投加控制系统.实践证明，该系统具有较强的自适应能力和较高的控制精度，出水COD达标率较人工控制提高了 8.88%，活性炭日均消耗量削减了 16.61%，取得了较好的经济效益. |
| first_indexed | 2024-04-24T16:51:45Z |
| format | Article |
| id | doaj.art-580f5efad34e4ffe8ccf4b77ea54ac9a |
| institution | Directory Open Access Journal |
| issn | 1008-9497 |
| language | zho |
| last_indexed | 2024-04-24T16:51:45Z |
| publishDate | 2018-07-01 |
| publisher | Zhejiang University Press |
| record_format | Article |
| series | Zhejiang Daxue xuebao. Lixue ban |
| spelling | doaj.art-580f5efad34e4ffe8ccf4b77ea54ac9a2024-03-29T01:58:38ZzhoZhejiang University PressZhejiang Daxue xuebao. Lixue ban1008-94972018-07-0145446847510.3785/j.issn.1008-9497.2018.04.014A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究)FANGRongye(方荣业)0https://orcid.org/0000-0001-6799-5565SHIYubin(史宇滨)1JIANGTing(蒋婷)2LIWei(李威)3SHIHuixiang(史惠祥)4https://orcid.org/0000-0002-5704-4229 1.College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China( 1.浙江大学环境与资源学院，浙江 杭州 310058) 2.Huadong Engineering Corporation Limited, Hangzhou 310014, China( 2.华东勘测设计研究院有限公司，浙江 杭州 310014) 1.College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China( 1.浙江大学环境与资源学院，浙江 杭州 310058) 1.College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China( 1.浙江大学环境与资源学院，浙江 杭州 310058) 1.College of Environmental & Resource Sciences, Zhejiang University, Hangzhou 310058, China( 1.浙江大学环境与资源学院，浙江 杭州 310058)近年来，活性炭吸附技术逐渐成为深度处理的主流技术，但粉末活性炭投加系统仍处于人工控制阶段，现场需要技术人员依靠经验确定活性炭投加量，易造成出水水质不稳定、活性炭药耗大等问题.以浙江省嘉善县某城镇污水处理厂的深度处理工艺为研究背景，以粉末活性炭投加系统为研究对象，针对活性炭投加控制系统滞后、非线性、复杂等问题，建立了 BP神经网络前馈预测-PID反馈控制的自动投加控制系统.实践证明，该系统具有较强的自适应能力和较高的控制精度，出水COD达标率较人工控制提高了 8.88%，活性炭日均消耗量削减了 16.61%，取得了较好的经济效益.https://doi.org/10.3785/j.issn.1008-9497.2018.04.014深度处理粉末活性炭投加系统bp神经网络投药复合控制 |
| spellingShingle | FANGRongye(方荣业) SHIYubin(史宇滨) JIANGTing(蒋婷) LIWei(李威) SHIHuixiang(史惠祥) A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究) Zhejiang Daxue xuebao. Lixue ban 深度处理 粉末活性炭投加系统 bp神经网络 投药复合控制 |
| title | A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究) |
| title_full | A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究) |
| title_fullStr | A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究) |
| title_full_unstemmed | A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究) |
| title_short | A study on the activated carbon intelligent dosing system for urban sewage treatment plants based on BP neural network(基于BP神经网络的城镇污水厂活性炭自动投加系统研究) |
| title_sort | study on the activated carbon intelligent dosing system for urban sewage treatment plants based on bp neural network 基于bp神经网络的城镇污水厂活性炭自动投加系统研究 |
| topic | 深度处理 粉末活性炭投加系统 bp神经网络 投药复合控制 |
| url | https://doi.org/10.3785/j.issn.1008-9497.2018.04.014 |
| work_keys_str_mv | AT fangrongyefāngróngyè astudyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT shiyubinshǐyǔbīn astudyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT jiangtingjiǎngtíng astudyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT liweilǐwēi astudyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT shihuixiangshǐhuìxiáng astudyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT fangrongyefāngróngyè studyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT shiyubinshǐyǔbīn studyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT jiangtingjiǎngtíng studyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT liweilǐwēi studyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū AT shihuixiangshǐhuìxiáng studyontheactivatedcarbonintelligentdosingsystemforurbansewagetreatmentplantsbasedonbpneuralnetworkjīyúbpshénjīngwǎngluòdechéngzhènwūshuǐchǎnghuóxìngtànzìdòngtóujiāxìtǒngyánjiū |