摘要
对溶解氧浓度水平进行调节控制直接影响污水排放进程和系统能耗。基于衡量控制、简单PID控制和人工现场控制的溶解氧传统控制方法往往造成溶解氧冗余或波动较大,鼓风曝气能耗较高。而基于模糊综合控制、神经网络控制和专家控制的智能控制方法各具优缺点,三者的组合或与传统控制方法相结合而建立的综合智能控制系统可以克服单个的缺点而发挥其巨大的优越性。如何针对不同的污水处理厂的水质特点因地制宜的开展各种不同方法之间的组合应用尤为迫切。
Controlling the concentration of dissolved oxygen directly affects the process of wastewater discharge and system energy consumption.Measure control,dissolved oxygen instrument-valve,simple PID control and manual local control are the traditional control methods of dissolved oxygen.The three methods often cause the redundancy or fluctuation of dissolved oxygen,and the blast aeration energy consumption is higher.Fuzzy control,neural network control,expert control,three kinds of intelligent control in intelligent control of dissolved oxygen in the advantages and disadvantages of combination of the three,or with the traditional control methods can be combined to overcome the shortcomings of single play its great superiority and the establishment of the integrated intelligent control system.How to deal with the water quality characteristics of different sewage treatment plants,and to carry out the measures according to local conditions,is an urgent need for the combination of different methods.
作者
王国胜
董浩
黄启伦
尹永远
WANG Guo-sheng;DONG Hao;HUANG Qi-lun;YIN Yong-yuan
出处
《信息技术与信息化》
2017年第10期120-122,共3页
Information Technology and Informatization
基金
深圳市科技计划(项目编号:JCYJ20150417094158014)
广东省高等职业教育教学改革项目(项目编号:GDJG2015257)
广东省大学生科技创新培育专项资金(项目编号:pdjh2016B0714)
广东省高等职业教育品牌专业建设项目(项目编号:2016GZPP127)
关键词
溶解氧
节能降耗
智能优化
神经网络
因地制宜
dissolved oxygen
energy saving and consumption reduction
intelligent optimization
neural network
local conditions
