scholarly journals Smart management and control system for liquid radioactive waste in hospitals using neural network techniques

2020 ◽  
Vol 9 (3) ◽  
pp. 607
Author(s):  
Khaled S. Ahmed ◽  
Fayroz F. Sherif
Keyword(s):  
Control System ◽  
Liquid Radioactive Waste ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Maximum Level ◽  
Design Stage ◽  
Monitoring And Control ◽  
Hospital Design ◽  
And Control

In tertiary hospitals where the nuclear medicine services have been introduced, the radioactive materials used in diagnosis and / or treatment need to be handled. The hospital design and medical planning should consider such these materials and their policy for treatment. The nuclear wastes have been divided into solid and liquid based on the used materials and for their half-life times which start from few minutes till reaching years. In our study, the most common radioactive liquid materials (wastes) have been treated by smart system. The system will detect the material of the waste via nuclear sensors and based on its HLT (activities), it will be distributed in two shielded storage tanks classified based on capacity then to the sewage treatment plant (STP) of the hospital after keeping for required times. The location and capacity of these tanks together with their monitoring and control system should be considered in design stage which determines the treatment processes. By applying our proposed technique on two hospitals, the results have reduced the storage tank capacity by 87% (reduction) and space area leading to cost reduction by 72% keeping the maximum level of safety.  

scholarly journals Renovation of Automation System Based on Industrial Internet of Things: A Case Study of a Sewage Treatment Plant

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2175 ◽  
Author(s):  
Wanhao Zhu ◽  
Zhidong Wang ◽  
Zifan Zhang
Keyword(s):  
Internet Of Things ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Monitoring And Control ◽  
Industrial Internet Of Things ◽  
Wide Area Monitoring ◽  
Industrial Internet ◽  
And Control ◽  
Area Monitoring

The Industrial Internet of Things (IIoT) is of great significance to the improvement of industrial efficiency and quality, and to reduce industrial costs and resources. However, there are few openly-reported practical project applications based on the IIoT up to now. For legacy automation devices in traditional industry, it is especially challenging to realize the upgrading of industrial automation adopting the IIoT technology with less investment. Based on the practical engineering experience, this paper introduces the automation renovation of a sewage treatment plant. The legacy automation devices are upgraded by the central controller of a STM32 processor (Produced by STMicroelectronics company, located in Geneva, Switzerland), and the WeChatApplet (Developed by Tencent company, located in Shenzhen, China) is used as the extended host computer. A set of remote monitoring and control systems of sewage treatment based on the IIoT is built to realize the wide-area monitoring and control of sewage treatment. The paper describes the field hardware system, wide-area monitoring and control application program, management cloud platform and security technologies in detail. The actual operation results show that the monitoring system has the requirements of high accuracy, good real-time performance, reliable operation and low cost.

System Identification and Control of the Activated Sludge Process by Use of a Statistical Model

1989 ◽  
Vol 21 (10-11) ◽  
pp. 1161-1172 ◽  
Author(s):  
M. Hiraoka ◽  
K. Tsumura
Keyword(s):  
Control System ◽  
System Identification ◽  
Statistical Model ◽  
Activated Sludge ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Ar Model ◽  
Diurnal Changes ◽  
Activated Sludge Process ◽  
And Control

The authors have been developing a hierarchical control system for the activated sludge process which consists of an upper level system controlling long-term seasonal variations, a control system of intermediate level aiming at optimization of the process and a control system of lower level controlling diurnal changes or hourly fluctuations. The control system using the multi-variable statistical model is one of the most appropriate control systems based on the modern control theory, for applying the lower level control of the activated sludge process. This paper introduces our efforts for developing the reliable data acquisition system, the control experiments applying the AR-model, one of the statistical models which were conducted at a pilot plant and present studies on the system identification and control at a field sewage treatment plant.

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.

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.

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.

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.

scholarly journals Safety Evaluation of Urban Large Scale Sewage Treatment Plant

2015 ◽  
Vol 9 (1) ◽  
pp. 906-912
Author(s):  
Gao Ping ◽  
Zhang Luyan ◽  
Fu Gui
Keyword(s):  
Large Scale ◽  
Sewage Treatment ◽  
Sewage Treatment Plant ◽  
Treatment Plant ◽  
Safety Evaluation ◽  
Field Research ◽  
Electrical Equipment ◽  
Scientific Analysis ◽  
Accident Tree ◽  
And Control

In recent years, accidents of urban large scale sewage treatment plant at home and abroad have took a big loss to countries and individuals. Based on field research and scientific analysis of one large sewage treatment plant this paper use the safety check list to evaluate its safety and get that the main risk factors which should be focused on are poisoning and suffocation, electrical injuries, fire and explosion. Using accident tree method to analyze electrical equipment accidents we know that in order to prevent electric shock accident first is to use the safety equipment and control leakage events due to dirty and wet.

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