Design of Water Level Intelligent Control System Based on SCM

2014 ◽  
Vol 602-605 ◽  
pp. 1395-1398 ◽  
Author(s):  
Min Zhang
Keyword(s):  
Control System ◽  
Water Level ◽  
Real Time ◽  
Intelligent Control ◽  
Pressure Sensor ◽  
Level Control ◽  
Small Water ◽  
Intelligent Control System ◽  
Control Interface ◽  
The Difference

A water level automatic control system based on SCM AT89C52 as a control core is designed in this paper. The system can automatically detect the water level by using a pressure sensor and can realize the intelligent control of water-level according to the difference between the real-time water level and the preset water level by using a big and a small water valves controlled by electric relays. At the same time, the system also has the functions of presupposition and real-time displaying of water level. The control system has the characteristics of simple intuitive control interface and good human-computer interaction. Protues simulation proved that this system achieve water level control well.

An Intelligent Control System for Digital Workshop Production

2009 ◽  
Vol 16-19 ◽  
pp. 75-83 ◽  
Author(s):  
Ju Jiang Cao ◽  
Yan Li
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Radio Frequency Identification ◽  
Wireless Lan ◽  
Production Control ◽  
Level Control ◽  
Bottom Level ◽  
Intelligent Control System ◽  
Key Enabling Technologies

In general, production control of digital workshops is a complicated systematical engineering. Because of lacking the methods and means of acquiring the manufacturing data in real time, the traditional production control methods cannot satisfy the real production control requirement of digital workshops. In this paper, we put forward an intelligent control system for digital workshop production. The main contributions include three aspects: Firstly, we introduce and adopt Radio Frequency Identification (RFID) technology as a means to acquire the manufacturing information in real time produced by the bottom-level manufacturing devices. Secondly, we develop the wcPML (workshop control with Physical Markup Language) and utilize it to act as a media to realize the information visualized description and transmission between the top-level control systems and bottom-level manufacturing sites of workshops. Thirdly, we adopt Java Web technology and wireless LAN to build the infrostructure for the intelligent control system for workshop production. Some key enabling technologies for the intelligent control system also are presented and described following with some concluding remarks.

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.

Research on the Key Technologies of Intelligent Control for Cap-Shape Bending of Sheet Metal

2011 ◽  
Vol 239-242 ◽  
pp. 2867-2872
Author(s):  
Hong Lei Sun ◽  
Chun Jian Su ◽  
Rui Xue Zhai
Keyword(s):  
Neural Network ◽  
Control System ◽  
Real Time ◽  
Sheet Metal ◽  
Intelligent Control ◽  
Feed Forward Neural Network ◽  
Forming Process ◽  
Intelligent Control System ◽  
The Neural Network ◽  
Real Time Identification

The blueprint for an intelligent control system of cap-shape bending has been advanced in this paper using neural network technology, aiming at an accurate control of bending springback, the prominent problem during the forming process for the cap-shape bending of sheet metal. The feed-forward neural network of real-time identification for material performance parameters and the friction coefficient have been established. The neural network identifies the parameters for real-time needed material performance, which utilizes the measurability of the physical quantities, and predicts the parameters for optimum technology, so a satisfied accuracy of convergence has been achieved. The intelligent control experimentation system of cap-shape bending has been established, the validity of which has been tested for four kinds of materials. The result of the tests proves the feasibility of the blueprint of the intelligent control system.

Design of Power Windows Based on POWERLINK Industrial Ethernet

2014 ◽  
Vol 494-495 ◽  
pp. 28-31
Author(s):  
Sheng Li Lu ◽  
Min Li ◽  
Mei Ling Liu
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Control Unit ◽  
Industrial Ethernet ◽  
The Real ◽  
Intelligent Control System ◽  
Central Controller ◽  
Lift Control ◽  
System Power

This paper proposes a design of intelligent control system power windows based on POWERLINK bus by introducing features and advantages of POWERLINK bus technology. The system implements the real-time communication between each control unit and central controller through the POWERLINK bus, largely enhancing the coordination of window lift control, improving security features such as anti-pinch and has good scalability and portability.

Real-Time Expert Intelligent Control System REICS

1992 ◽  
Vol 25 (20) ◽  
pp. 307-312 ◽  
Author(s):  
Yao-Nang Wang ◽  
Tiao-Sheng Tong ◽  
Zi-Xing Cai ◽  
Jing Zhang ◽  
Xian-Ming Zhang
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Intelligent Control System

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.

A Breeding Greenhouse Based on the Intelligent Control System

2012 ◽  
Vol 562-564 ◽  
pp. 1673-1677
Author(s):  
Shou Yu Zhang ◽  
Jian Lin ◽  
Guo Chang Ding ◽  
Xiang Zhang
Keyword(s):  
Carbon Dioxide ◽  
Control System ◽  
Plant Growth ◽  
Real Time ◽  
Intelligent Control ◽  
Process Design ◽  
Growth Process ◽  
Environmental Parameters ◽  
Intelligent Control System ◽  
Plant Seedlings

In order to control the greenhouse system of temperature, humidity, the concentration of carbon dioxide and some other environmental parameters during the plant seedlings process, design a greenhouse real-time monitoring system by using a PLC module, this system can realize the function of controling the various environmental parameters during he plant seedlings process to achieve the best environment plant growth process requirements.

Research on Intelligent Control System of High Speed and High Precision Filling Disc Machine

2013 ◽  
Vol 397-400 ◽  
pp. 1164-1168
Author(s):  
Ye Kuan Duan ◽  
Jun Fang Ni
Keyword(s):  
Control System ◽  
Real Time ◽  
High Precision ◽  
Intelligent Control ◽  
High Speed ◽  
Positioning System ◽  
Control Technology ◽  
Intelligent Control System ◽  
Accurate Localization ◽  
Machine Interface

Traditional filling disc assembly requires a lot of manual operations and the efficiency of filling disc is not high. Human-machine interface (HMI) and image positioning system of the filling disc machine are developed in this paper, and the whole system and structure are studied on the programmable control technology. The machine realizes the functions of data real-time collection and fast accurate localization. Equipment has reached the accurate filling disc, and got an excellent application in the enterprises.

Design and Implementation of Remote Intelligent Control System Based on Cortex-M3

2014 ◽  
Vol 513-517 ◽  
pp. 3336-3339
Author(s):  
Jun Yang ◽  
Wen Long Li ◽  
Ruo Xin Zhu ◽  
Guang Hui Cai
Keyword(s):  
Control System ◽  
Real Time ◽  
Intelligent Control ◽  
Low Cost ◽  
Rapid Development ◽  
The Internet ◽  
Web Browser ◽  
Intelligent Control System ◽  
Control Terminal ◽  
And Control

With the rapid development of the Internet, the remote control technology was demanded more. In this paper, we designed a simple and practical remote intelligent control system, using CGI technology to complete the construction of Web servers and embedding uCOSII as the real-time operating system in Cortex-M3 core processor. By porting TCP/IP protocol stack, users could login in the server to access and control the system via the Internet. Using NRF2401 wireless technology to build a terminal network, the terminal carried out intelligent control with field data collected by sensors. Meanwhile, users could make monitor and control on a control terminal via a Web browser on a PC or mobile. The remote intelligent control system was stable, real-time, low cost, fit for the smart home, industrial remote monitor and so on, so it would have a better application prospects.

Sign in / Sign up

Export Citation Format

Share Document