摘要
溶解氧控制是污水处理厂生物处理的关键,然而溶解氧本身具有滞后、复杂性和非线性等控制难题,对于传统自动化控制不仅难度较大而且能耗高。为此设计了生物智能曝气控制系统。结合在线数据和历史经验数值构建机理控制模型,通过对风机、阀门的控制,并结合溶氧仪、污泥浓度仪和氨氮检测仪表等,对溶氧进行不同策略多目标动态控制。使用所提系统后,污水厂吨水曝气电耗下降12.26%,吨水需氧量去除曝气电耗下降16.92%。由此可见,所提出的智能曝气系统对于提高污水厂运行稳定性和经济性具有较大的帮助。
Dissolved oxygen control is the key to biological treatment in sewage treatment plants.However,its inherent control challenges such as large lag,complexity,and nonlinearity make it difficult and energy intensive for traditional automation control.A biological intelligent aeration control system was designed for the purpose.By combining online data and historical empirical values,a mechanism control model was constructed.Through the control of fans and valves,and combined with instruments for dissolved oxygen meter,sludge concentration meter and ammonia nitrogen detection instrument,multi-objective dynamic control of dissolved oxygen was carried out using different strategies.After applying the proposed system,the aeration electrictiy consumption per ton of water in the sewage treatment plant decreased by 12.26%,and the aeration electricity consumption per ton of water for oxygen demand removal decreased by 16.92%.It can be seen that the proposed intelligent aeration system is of great help in improving the stability and economy of sewage plant operation.
作者
史维忻
Shi Weixin(Shanghai Electrical Automation D&R Institute Co.,Ltd.,Shanghai 200023,China)
出处
《电气自动化》
2025年第3期105-107,115,共4页
Electrical Automation
关键词
溶解氧
城市污水厂
智能控制
稳定性
经济性
dissolved oxygen
urban sewage treatment plant
intelligent control
stability
economic viability
