With Guohua Sewage Treatment Plant being the centre of management and control, by means of structural analysis and construction of cloud platform, important running data, equipment state and surveillance video of each sewage treatment site built or being built nearby will be stored and categorized. Then analysis and decisions will be made, ensuring the good functioning of sites monitored by managers of the centre control site. At the same time, mobile applications can be used on smart phones with the support of the system, thus making it possible for managers to conveniently visit surveillance data in real time through web pages or app. With this arrangement in place, effective management measures will be taken in the shortest time every time the equipment of any one site is out of order. The entire system design has achieved many functions directed at multiple sewage treatment sites, such as decentralized control, centralized management, remote diagnosis and fault early warning.
Flue gas purification of a domestic steel mill using activated carbon desulfurization process. Among them, the flue gas treatment method of the adsorption tower is filled with activated carbon and flue gas permeated and adsorbed, which is an important part of the desulfurization effect. The variables in the tower are complicated, non-linear, timevarying, coupled, and lagging behind in the control process Inertial characteristics, the controller construction and control of the results posed a serious challenge. This paper first analyzes the environmental variables in the tower and proposes an adaptive fuzzy control scheme. The experimental results show that the flue gas purification effect has been significantly improved. IntroductionAs a recyclable and reusable adsorbent, activated carbon has attracted more and more attention in the field of flue gas desulfurization. The control of adsorption tower is a typical nonlinear, time-varying, large interference system [1]. The difficulty of system modeling and the uncertainties of many factors make the optimal control in the classical control theory and modern control theory difficult to apply, while fuzzy control is suitable for the control of such processes [2]. THE CONTROL PARAMETERS OF DESULFURIZATION TOWERAdsorption of activated carbon in the adsorption tower is divided into chemical adsorption and physical adsorption processes, and the result of the physical and chemical reactions together [3]. The main parameters in the control process are as follows: Flue gas flow into the desulfurization tower (CFM), flue gas temperature (℃), SO2 concentration (mg/m 3 ), NH3 air inflow QNH3(m 3 /h). The difficulties of control are:a. There is a serious coupling relationship between the flue gas flow and the temperature in the flue gas system. Under normal circumstances, when the flow rate of flue and gas is insufficient, the temperature will also be reduced accordingly. However, the pouring of cold air will cause drastic temperature changes;b. The chemical adsorption of activated carbon is a typical exothermic reaction, the instability of the reaction environment makes the reaction depth of activated carbon in chemical adsorption difficult to guarantee;c. The adsorption tower is a large-volume reaction tank, and the residence time of the activated carbon in the adsorption tower is long. The lag of control effect makes it easy to overshoot control curve whether adjusting the amount of NH3 gas or the moving speed of the activated carbon;d. There are many factors that affect the control effect, but the data that can be measured directly are limited. Many processes that affect the adsorption effect, such as the saturation of activated carbon, are difficult to be collected directly. CONTROL ALGORITHM DESIGNCompared to ordinary fuzzy control, adaptive fuzzy control is divided into two basic modules: common fuzzy control level and the adaptive correction level composed of the performance measurement, control of the correction amount and rules correction [4]. This paper adopts...
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