化工企业污水处理智能控制
发布时间：2019-01-06 17:29
【摘要】：化工污水处理与普通的生活污水处理有所不同,进水主要为装置废水,流量较城市污水稳定,水质方面以煤粉气化制氢为例,其进水化学需氧量(COD)1000mg/L,(氨氮)(NH4)200mg/L是生活污水的三倍多,使用常规处理方法进行处理,出水水质较难达到国家标准,因此在两级缺氧好氧(A/O)高效除氮工艺下,仅仅靠一种复杂的智能控制算法针对工艺和控制指标进行一次性控制,不如把工艺控制和控制指标的控制分开研究效果好。根据不同污水处理系统的发展适用特性,在分析活性污泥污水处理的内在生化反应机理的基础上,对A/O工艺进行分析,以国际水协(IAWQ)给出的活性污泥模型(ASM)模型为基础建立数学模型进行分析,进而在工艺要求的控制范围内,以节能和降低费用为指标,以出水水质为约束条件,得出溶解氧为1.6mg/L的最优结果。同时在最优控制指标的基础上,针对溶解氧的控制存在不确定性、大滞后性等特点,分析了模糊控制策略,并设计了增量式模糊PID,通过MATLAB仿真比较了PID和模糊PID控制效果,确定其更强的鲁棒性。最后根据实际工程要求,以PLC为基础设计了基于TCP/IP协议通讯的智能控制系统。在系统下位机中根据已经建立的模糊表实现了增量式模糊PID的程序化,在上位机中通过组态软件Win CC(Windows Control Center)实现了监控系统,以及相关的报表系统。最终完成污水处理控制系统。系统最终在南京某化工企业污水厂中得以实施调试,通过现场调试,系统逻辑控制实现,通过模糊PID控制的流量、溶解氧等参数控制效果较好。系统自动化程度得到提高。
[Abstract]:The chemical wastewater treatment is different from the ordinary domestic sewage treatment. The main influent is plant wastewater, and the flow rate is more stable than that of the urban sewage. In the aspect of water quality, taking pulverized coal gasification for hydrogen production as an example, the influent chemical oxygen demand (COD) is 1000mg / L. (ammonia nitrogen) (NH4) 200mg/L is more than three times that of domestic sewage. The effluent quality is difficult to reach the national standard when conventional treatment method is used. Therefore, under the two-stage anoxic aerobic (A- / O) high efficiency nitrogen removal process, It is better to separate the process control from the control index by using a complex intelligent control algorithm to control the process and the control index at one time. According to the characteristics of development and application of different sewage treatment systems and on the basis of analyzing the internal biochemical reaction mechanism of activated sludge sewage treatment, the A- / O process is analyzed. Based on the (ASM) model of activated sludge model given by the International Water Association (IAWQ), the mathematical model is established and analyzed. Furthermore, within the control range of process requirements, energy saving and cost reduction are taken as the index and the effluent quality is taken as the constraint condition. The optimal result that dissolved oxygen is 1.6mg/L is obtained. At the same time, on the basis of the optimal control index, the fuzzy control strategy is analyzed in view of the uncertainty and lag in the control of dissolved oxygen, and the incremental fuzzy PID, is designed to compare the control effect of PID and fuzzy PID through MATLAB simulation. Determine its stronger robustness. Finally, according to the actual engineering requirements, an intelligent control system based on TCP/IP protocol communication is designed based on PLC. The incremental fuzzy PID is programmed according to the established fuzzy table in the lower computer of the system, and the monitoring system and the related report system are realized by the configuration software Win CC (Windows Control Center) in the upper computer. Finally, the sewage treatment control system is completed. Finally, the system can be debugged in a chemical plant in Nanjing. Through the field debugging, the system logic control is realized, and the flow rate, dissolved oxygen and other parameters are controlled by fuzzy PID. The degree of system automation has been improved.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X78;TP273
本文编号：2403099
[Abstract]:The chemical wastewater treatment is different from the ordinary domestic sewage treatment. The main influent is plant wastewater, and the flow rate is more stable than that of the urban sewage. In the aspect of water quality, taking pulverized coal gasification for hydrogen production as an example, the influent chemical oxygen demand (COD) is 1000mg / L. (ammonia nitrogen) (NH4) 200mg/L is more than three times that of domestic sewage. The effluent quality is difficult to reach the national standard when conventional treatment method is used. Therefore, under the two-stage anoxic aerobic (A- / O) high efficiency nitrogen removal process, It is better to separate the process control from the control index by using a complex intelligent control algorithm to control the process and the control index at one time. According to the characteristics of development and application of different sewage treatment systems and on the basis of analyzing the internal biochemical reaction mechanism of activated sludge sewage treatment, the A- / O process is analyzed. Based on the (ASM) model of activated sludge model given by the International Water Association (IAWQ), the mathematical model is established and analyzed. Furthermore, within the control range of process requirements, energy saving and cost reduction are taken as the index and the effluent quality is taken as the constraint condition. The optimal result that dissolved oxygen is 1.6mg/L is obtained. At the same time, on the basis of the optimal control index, the fuzzy control strategy is analyzed in view of the uncertainty and lag in the control of dissolved oxygen, and the incremental fuzzy PID, is designed to compare the control effect of PID and fuzzy PID through MATLAB simulation. Determine its stronger robustness. Finally, according to the actual engineering requirements, an intelligent control system based on TCP/IP protocol communication is designed based on PLC. The incremental fuzzy PID is programmed according to the established fuzzy table in the lower computer of the system, and the monitoring system and the related report system are realized by the configuration software Win CC (Windows Control Center) in the upper computer. Finally, the sewage treatment control system is completed. Finally, the system can be debugged in a chemical plant in Nanjing. Through the field debugging, the system logic control is realized, and the flow rate, dissolved oxygen and other parameters are controlled by fuzzy PID. The degree of system automation has been improved.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：X78;TP273
【参考文献】
相关期刊论文 前2条
1 刘载文;张春芝;王小艺;薛福霞;程志强;;基于遗传算法的污水处理过程优化控制方法[J];计算机与应用化学;2007年07期
2 张平;苑明哲;王宏;;前置反硝化污水生化处理过程优化控制[J];信息与控制;2008年01期
，本文编号：2403099
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