scholarly journals Control System of Urban Sewage Treatment Plant Multiphase Implementation

2013 ◽  
Vol 03 (08) ◽  
pp. 381-387
Author(s):  
芬 刘
Keyword(s):  
Control System ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Urban Sewage

The Automatic Control System Based on PROFIBUS for the City Sewage Treatment

2013 ◽  
Vol 385-386 ◽  
pp. 857-861
Author(s):  
Xiao Ping Huang ◽  
Qi Xing Qing
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Fuzzy Controller ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Difficult Problem ◽  
Urban Sewage ◽  
Treated Sewage

On the basis of the computerized technological process control of sewage treatment in a urban sewage treatment plant in the Zone of Nanning, the author had brought forward a plan of PROFIBUS that based on automatic control system for sewage treatment, and designed the automatic control system diagram and the PROFIBUS network diagram for sewage treatment plant. At the same time, the author also made a study of techniques to control the sewage aeration, which was the most difficult problem in sewage treatment process. The fuzzy controller could indicate the changes of the water quality in treated sewage, effectively controlled the volume of aeration and then cut down the operation costs,it had produced good economic and social benefits.

Intelligent Control of Flocculation Process Based on Radial Basis Probabilistic Neural Network for Sewage Treatment

2010 ◽  
Vol 44-47 ◽  
pp. 3289-3293
Author(s):  
Jing Wen Tian ◽  
Mei Juan Gao
Keyword(s):  
Neural Network ◽  
Control System ◽  
Process Model ◽  
Probabilistic Neural Network ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Least Square ◽  
Radial Basis ◽  
Flocculation Process

The flocculating process of sewage treatment is a complicated and nonlinear system, and it is very difficult to found the process model to describe it. The radial basis probabilistic neural network (RBPNN) has the ability of strong function approach and fast convergence. In this paper, an intelligent optimized control system based on radial basis probabilistic neural network is presented. We constructed the structure of radial basis probabilistic neural network that used for controlling the flocculation process, and adopt the K-Nearest Neighbor algorithm and least square method to train the network. We given the architecture of control system and analyzed the working process of system. In this system, the parameters of flocculation process were measured using sensors, and then the control system can control the flocculation process real-time. The system was used in the sewage treatment plant. The experimental results prove that this system is feasible.

Estrogenic compounds in Tunisian urban sewage treatment plant: occurrence, removal and ecotoxicological impact of sewage discharge and sludge disposal

Ecotoxicology ◽  
2016 ◽  
Vol 25 (10) ◽  
pp. 1849-1857 ◽  
Author(s):  
Dalel Belhaj ◽  
Khaled Athmouni ◽  
Bouthaina Jerbi ◽  
Monem Kallel ◽  
Habib Ayadi ◽  
...  
Keyword(s):  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Estrogenic Compounds ◽  
Sewage Discharge ◽  
Urban Sewage ◽  
Sludge Disposal

Design of Sewage Treatment Automated Control System

2014 ◽  
Vol 644-650 ◽  
pp. 639-641
Author(s):  
Yun Hong
Keyword(s):  
Control System ◽  
Closed System ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Process Equipment ◽  
Automation System ◽  
Automated Control ◽  
Automated Control System ◽  
Plant Automation

Advanced fieldbus technology has solved the DCS system of communication caused by special network of the closed system defects, the closed, proprietary solutions into the open, standardized solution.Therefore, in this paper, according to the technological process in sewage treatment plant, combining with the distribution and characteristics of process equipment, the overall structure of the design of the sewage treatment plant automation system, and the overall structure of each component has carried on the detailed analysis and research.

Frequency Constant Pressure Control System Based on PLC

2013 ◽  
Vol 579-580 ◽  
pp. 798-803
Author(s):  
Qi Zhu ◽  
Zhi Wen Feng
Keyword(s):  
Wastewater Treatment ◽  
Control System ◽  
Constant Pressure ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Pressure Control ◽  
Pipe Network ◽  
Pumping Station ◽  
Pressure Control System

Sewage pumping station is pumping station import at the sewage treatment plant. Its role is to collect the wastewater from the sewage pipe network to subsequent wastewater treatment process facilities. The water level is usually low in sewage collection pipe network. And many wastewater treatment facilities is based on elevation settings. So it is necessary to use lift pump to improve lift of the collected sewage, using high gravity sewage errands subsequent process in order to reduce energy consumption. The traditional way of pumping generally has the shortcomings: the waste of power resources, low efficiency, poor reliability, low degree of automation, which seriously affects the urban sewage treatment capacity. This paper, views pump station control system at the sewage treatment plant as the background, researches frequency control constant pressure control system based on PLC, realizes the energy efficient, automated and reliable direction of development of the sewage pumping station.

Experimental Studies of CS Type UV Sterilizer for the Urban Sewage Treatment

2013 ◽  
Vol 361-363 ◽  
pp. 601-605
Author(s):  
Ji Ku Zhang ◽  
Yang Yang Li ◽  
Chen Zhang ◽  
Yan Bin Yang
Keyword(s):  
Removal Rate ◽  
Sewage Treatment ◽  
Experimental Studies ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Uv Disinfection ◽  
Secondary Effluent ◽  
Urban Sewage ◽  
High Doses ◽  
Uv Dose

By treating the secondary effluent of Sanbaotun sewage treatment plant in Fushun with the CS type UV Sterilizer, the experiment researches the influence on the removal rate which includes the factors of turbidity, chromaticity, initial E.coli concentration of raw water, UV dose. The results show that the turbidity does not influence on UV disinfection efficiency with the turbidity from 1.5NTU to 3.8NTU. In the low-dose UV disinfection process, the influent sewage turbidity should under 4NTU to ensure the disinfection efficiency. Low chromaticity does not affect the UV disinfection efficiency, with the influent sewage chromaticity is under 15 degrees.The initial E. coli has a certain impact on little doses of UV disinfection with the concentration from 175 × 104 A/ L to 230 × 104 A/ L, no impact on high doses of UV disinfection。

Utilisation of Biogas From an Urban Sewage Treatment Plant in a Solid Oxide Fuel Cell

2010 ◽  
Author(s):  
Andrea Lanzini ◽  
Pierluigi Leone ◽  
Massimo Santarelli
Keyword(s):  
Sewage Treatment ◽  
Fixed Bed ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Cell Voltage ◽  
Operating Conditions ◽  
Fixed Bed Reactor ◽  
Urban Sewage ◽  
Anode Degradation ◽  
Anode Supported Cell

A biogas coming from anaerobic digestion of urban sewage has been used to feed a SOFC planar anode-supported cell. The sewage is produced from the urban area of Torino (IT), and eventually collected and treated by SMAT (the municipal company managing the potable and waste water of the city). The biogas is produced by the thermophilic fermentation of the sludge which remains after the several treatments the sewage goes through in the above-mentioned plant. The biogas is of a high quality: it has on average a a methane content around 65% (the balance being essentially CO2), and the only significant impurity measured is H2S in a range of 70–80 ppm. The as-produced biogas has been used for feeding a planar Ni-YSZ anode-supported SOFC with a LSCF cathode. The biogas desulphurization was accomplished flowing the gas in a fixed-bed reactor, filled with activated. The fuel processing with POX has been assessed to avoid carbon deposition into the Ni-YSZ anode and convert the CH4 into H2 and CO. Short tests to check for eventual anode degradation were performed under typical operating conditions. The cell voltage was always stable under load with the tested mixtures. A cell electrical efficiency around 45% has been measured at 800°C and 80% FU. System simulations have performed as well to assess the whole system configuration under a biogas feeding. Optimization routines have been implemented to predict the best net AC efficiency achievable by a SOFC system running on biogas. Additional considerations on the management of poor LHV biogas mixture have been also assessed, showing how dry-reforming of CH4 with the CO2 already available in the biogas stream would be an excellent option needed to be investigated with further detail in the next future.

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