Design of the Intelligent Control System Integration of Wastewater Treatment

2014 ◽  
Vol 716-717 ◽  
pp. 1591-1594
Author(s):  
Wen Hua Chen ◽  
Qiang Cai ◽  
Xu Wang
Keyword(s):  
Water Quality ◽  
Wastewater Treatment ◽  
Control System ◽  
Intelligent Control ◽  
High Efficiency ◽  
Control Method ◽  
Reference Value ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Intelligent Control System

In order to achieve the integrated process of wastewater treatment, this research designs a kind of intelligent control system that can monitoring water quality parameters in real-time, which is small, convenient control, high efficiency and low consumption. The acquisition station and control station of the system are based on STM32F107 and industrial control tablet, combined with IASBR process to achieve simultaneous removal of organic matter, nitrogen, phosphorus and COD in wastewater. This system can monitor water temperature, pH, ORP, DO and other water quality parameters. Aiming at the uncertainty of the DO in process control, the fuzzy control method is proposed to realize the rationalization of aeration, meet the needs of wastewater biochemical treatment of the DO. It has a certain reference value to the intelligent development of integrated wastewater treatment.

Intelligent control system based on blackboard concept for wastewater treatment processes

1998 ◽  
Vol 37 (12) ◽  
pp. 77-85 ◽  
Author(s):  
T. Ohtsuki ◽  
T. Kawazoe ◽  
T. Masui
Keyword(s):  
Wastewater Treatment ◽  
Control System ◽  
Activated Sludge ◽  
Intelligent Control ◽  
Software Agents ◽  
High Rate ◽  
Target System ◽  
Activated Sludge Process ◽  
Intelligent Control System ◽  
Treatment Processes

An intelligent control system for wastewater treatment processes has been developed and applied to fullscale, high-rate, activated sludge process control. In this control system, multiple software agents that model the target system using their own modeling method collaborate by using data stored in an abstracted database named ‘blackboard’. The software agents, which are called ‘expert modules’, include a fuzzy expert system, a fuzzy controller, a theoretical activated sludge model, and evaluators of raw data acquired by various online sensors including a respirometer. In this paper, the difficulties of controlling an activated sludge system by using a single conventional strategy are briefly reviewed, then our approach to overcome these difficulties by using multiple modeling methods in the framework of an ‘intelligent control system’ is proposed. Case studies of applications to a high-rate activated sludge process that treats BOD and nitrogen of human excrement are also presented.

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

Implementation of Intelligent Control System for Autonomous Underwater Vehicle

2014 ◽  
Vol 701-702 ◽  
pp. 704-710 ◽  
Author(s):  
Viacheslav Pshikhopov ◽  
Yuriy Chernukhin ◽  
Viktor Guzik ◽  
Mikhail Medvedev ◽  
Boris Gurenko ◽  
...  
Keyword(s):  
Control System ◽  
Motion Control ◽  
Intelligent Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Underwater Vehicle ◽  
Intelligent Control System ◽  
Azov Sea ◽  
Complex Simulation ◽  
Point To Point

This paper introduces the implementation of intelligent motion control and planning for autonomous underwater vehicle (AUV). Previously developed control system features intelligent motion control and planning subsystem, based on artificial neural networks. It allows detecting and avoiding moving obstacles in front of the AUV. The motion control subsystem uses position-trajectory control method to position AUV, move from point to point and along given path with given speed. Control system was tested in the multi-module simulation complex. Simulation showed good results – AUV successfully achieved given goals avoiding collisions not only with static obstacles, but also with mobile ones. That allows using the proposed control system for the groups of vehicles. Besides simulation, control system was implemented in hardware. AUV prototype passed tests in Azov Sea and proved its efficiency.

scholarly journals An Intelligent Control System of Remanufacturing Assembly for Improving Quality and Production Efficiency

2021 ◽  
Author(s):  
Conghu Liu ◽  
Wei Cai ◽  
Guang Zhu ◽  
Mengdi Gao
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Production Efficiency ◽  
Control Method ◽  
Coupling Mechanism ◽  
Real Time Monitoring ◽  
Dynamic Compensation ◽  
Positive Role ◽  
Intelligent Control System

Abstract Remanufacturing has been considered to be one of the most effective ways to deal with sustainable manufacturing. The integration of intelligent technology and remanufacturing assembly system is a necessary way for the development of remanufacturing industry. This paper proposes an intelligent control system for improving the quality and production efficiency of the remanufacturing assembly (reassembly) systems. First, the state space model of reassembly is constructed and deduced to reveal the quality transfer and coupling mechanism of reassembly process. An optimization model of the reassembly scheme is established for minimizing the comprehensive cost. Then, an intelligent control system for reassembly process is proposed, which is a real-time monitoring and dynamic compensation response to address abnormal quality and to achieve intelligent control of reassembly process. The data model, information perception and fusion technology, real-time monitoring and dynamic compensation of reassembly quality are studied and implemented. Finally, the prototype intelligent control system of reassembly is developed, which illustrates its practicability offering a technical support for sustainability of remanufacturing. It can monitor the abnormal quality in real time and make dynamic compensation response, and realize the intelligent control of reassembly process. It plays a positive role in improving quality, reducing cost and enhancing customer satisfaction. This intelligent control method is more suitable for the reassembly system of complex machinery, especially under uncertain operating environment.

scholarly journals Complex Event Processing Methods for Greenhouse Control

Agriculture ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 811
Author(s):  
Yunsong Jia ◽  
Xiang Li
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
High Efficiency ◽  
Complex Event Processing ◽  
Processing Method ◽  
Event Processing ◽  
Intelligent Control System ◽  
Complex Patterns ◽  
Domain Integration ◽  
Greenhouse Control

In the greenhouse environment, the application of complex event processing (CEP) technology can effectively tackle the problem of recognition of the complex patterns that appeared in greenhouse conditions. In the existing research, few scholars have proposed a scheme to integrate complicated scenes within the greenhouse environment with high efficiency, convenience, and low coupling. Therefore, in order to solve the problem of hard recognition and fusion of complex patterns in the greenhouse environment, based on the characteristics of the greenhouse, this paper proposes a complex event processing method for greenhouse control. Our method has high applicability and high expansibility, including 13 types of event processing agents and 21 types of typical events involved in greenhouse automatic control. This method has the advantages of low information coupling and multi-domain integration, which can be directly used by agricultural experts and related workers and is of great significance to promote the extensive application of CEP technology in the greenhouse field. Our experiment successfully realized a greenhouse intelligent control system based on CEP technology is successfully realized in our experiment. The experimental statistics shows that the structure of the control system was accessible and effective.

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