本文選題：水處理 + 混凝投藥�。� 參考：《昆明理工大學(xué)》2014年碩士論文

【摘要】：自來水是城市生活的命脈,伴隨著經(jīng)濟(jì)的迅猛發(fā)展,城鎮(zhèn)居民對(duì)自來水水質(zhì)的要求也日益提高。作為自來水的生產(chǎn)部門,自來水廠提高凈水工藝,控制出廠水質(zhì)濁度指標(biāo),使居民用上放心水是保障人民身體健康的前提�；炷端幨堑乇硭幚砉に嚵鞒讨械闹匾h(huán)節(jié),也是復(fù)雜的物理化學(xué)反應(yīng)過程。對(duì)于不斷變化的源水質(zhì)量參數(shù),自來水廠應(yīng)合理控制混凝沉淀過程的投藥量,實(shí)現(xiàn)智能化投藥,以達(dá)到自來水生產(chǎn)低成本、低濁度、高質(zhì)量的目標(biāo)。 自來水混凝投藥系統(tǒng)是一個(gè)大延時(shí)、強(qiáng)耦合、干擾因素多的非線性系統(tǒng)。本文以云南省昆明市某自來水廠的混凝投藥系統(tǒng)作為研究背景,分析了自來水廠地表水處理工藝流程及各項(xiàng)參數(shù)指標(biāo),根據(jù)水廠大量生產(chǎn)數(shù)據(jù),分析源水流量、源水濁度、液體聚鋁投藥量等影響水處理的因素與混凝投藥系統(tǒng)出水濁度之間的關(guān)系,采用系統(tǒng)辨識(shí)方法對(duì)源水濁度進(jìn)行短期預(yù)報(bào),并建立了混凝投藥過程的控制模型和擾動(dòng)模型。依據(jù)水廠飛升實(shí)驗(yàn)數(shù)據(jù),采用最小二乘法建立了沉淀過程傳遞函數(shù)模型,并將智能控制的重要分支——模糊控制技術(shù)引入對(duì)變頻加藥泵的控制中。分析了傳統(tǒng)PID控制算法的缺點(diǎn),設(shè)計(jì)完成模糊自整定PID控制器,為自來水廠嚴(yán)格控制出廠水濁度提供了有效的方法。 對(duì)于自來水混凝投藥系統(tǒng)存在的問題,使用Matlab實(shí)現(xiàn)系統(tǒng)建模,并完成基于西門子PLC和WinCC組態(tài)軟件的監(jiān)控系統(tǒng)設(shè)計(jì)方案。 通過對(duì)自來水廠混凝投藥系統(tǒng)的分析以及對(duì)先進(jìn)控制策略的研究,探索適于昆明地區(qū)的水處理混凝投藥控制方案。最佳投藥控制的實(shí)現(xiàn)減低了液體聚鋁的投放量,降低了生產(chǎn)成本,對(duì)提高水質(zhì)起到較大的促進(jìn)作用。
[Abstract]:Tap water is the lifeblood of city life. With the rapid development of economy, urban residents' demand for tap water quality is also increasing day by day. As the production department of tap water, the waterworks improve the process of water purification, control the turbidity index of the water quality of the factory, and make the residents use rest assured water is the premise to ensure the health of the people. Coagulant dosing is an important part of surface water treatment process and a complex physicochemical reaction process. In order to achieve the goal of low cost, low turbidity and high quality of tap water production, the water plant should control the dosage of coagulant and precipitate process rationally and realize intelligent dosing for the changing quality parameters of source water. The coagulant dosing system of tap water is a nonlinear system with long time delay, strong coupling and many disturbance factors. Based on the coagulation and dosing system of a waterworks in Kunming City, Yunnan Province, this paper analyzes the surface water treatment process and various parameters of the waterworks. According to the mass production data of the waterworks, the flow rate and turbidity of the source water are analyzed. The relationship between the factors affecting water treatment and the turbidity of the effluent of coagulant dosing system is discussed. The short-term prediction of turbidity of source water is carried out by system identification method, and the control model and disturbance model of coagulant dosing process are established. The transfer function model of precipitation process is established by using the least-square method based on the experimental data of the rising of water plant, and the fuzzy control technology, an important branch of intelligent control, is introduced into the control of the variable frequency feed pump. The shortcomings of the traditional pid control algorithm are analyzed, and the fuzzy self-tuning pid controller is designed and completed, which provides an effective method for the waterworks to strictly control the turbidity of the raw water. For the problems existing in the coagulant dosing system of tap water, Matlab is used to realize the modeling of the system, and the design scheme of the monitoring system based on Siemens PLC and WinCC configuration software is completed. Based on the analysis of coagulant dosing system in waterworks and the study of advanced control strategy, the control scheme of coagulant dosing for water treatment in Kunming area was explored. The realization of optimal dosing control reduces the amount of liquid polyaluminum, reduces the production cost, and promotes the improvement of water quality.
【學(xué)位授予單位】：昆明理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TU991.2;TP273.4

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