Energy-saving Information and Control System for Electric Magnetic Core Annealing Furnaces

2021 ◽  
Author(s):  
Svetlana V. Artemova ◽  
Andrey I. Ladynin ◽  
Ilya V. Kalenyuk ◽  
Nina M. Shmeleva ◽  
Maria M. Kamenskaia
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Magnetic Core ◽  
And Control

Design of Control System for Concrete Mixing Station Based on PLC and Touch Screen

2011 ◽  
Vol 317-319 ◽  
pp. 2473-2476
Author(s):  
Huan Zhang
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Touch Screen ◽  
Automatic Production ◽  
Construction Machinery ◽  
Practical Operation ◽  
And Control ◽  
Technology Processes ◽  
Control Accuracy ◽  
Concrete Mixing Station

On the basis of analyzing technology processes and control demands of concrete mixing station, a design of control system for this construction machinery based on SIEMENS S7-300 PLC and eView touch screen was introduced in this paper, including hardware selection, PLC LAD diagram programming and HMI design, etc. All expected demands for weighing, batching, deposit, mixing, unloading, conveying of the whole technology processes of concrete mixing are reached, and a totally automatic production can be realized also. The practical operation verifies that the control system is highly reliable and stable, and it greatly enhances the control accuracy and meets the equipments requirements of energy-saving.

Development of a S-FLOW System and Control (S‑FLOW: Energy Saving Air Flow Control System)

2013 ◽  
Author(s):  
Koichi Tabei ◽  
Masashi Watanabe ◽  
Nobuyuki Doi ◽  
Kenjiro Imai ◽  
Stefan Young
Keyword(s):  
Control System ◽  
Flow Control ◽  
Energy Saving ◽  
Flow System ◽  
Air Flow ◽  
Flow Energy ◽  
Flow Control System ◽  
And Control ◽  
Air Flow Control

Design of Building Heating Supply Energy-Saving Control System Based on Information Fusion

2011 ◽  
Vol 383-390 ◽  
pp. 5484-5491
Author(s):  
Gui Qing Zhang ◽  
Lin Zhang ◽  
Ming Wang ◽  
Bin Shen ◽  
Cheng Dong Li ◽  
...  
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Information Fusion ◽  
Electrical Equipment ◽  
Fusion Technology ◽  
Infrared Sensors ◽  
The People ◽  
Occupancy Detection ◽  
Energy Saving Control ◽  
And Control

An energy-saving control system for building heating supply system is presented in this paper. Its design and implementation are on the basis of occupancy detection in buildings. By taking advantage of the information fusion technology, the control system will determine human’s location and control the heating equipments automatically according to non-human zone and human zone to realize the energy saving. The information fusion technology fuses three categories of information, which are the people counting information, the infrared sensors information and the RFID information. How to design and implement the heating energy-saving control system is described explicitly in this paper. Since the system has developed with platform concept based on the wireless network and the Internet, it can be used to other building electrical equipment systems with less modification.

Study on Key Techniques of Control System for Dry-Mixed Mortar Production Line

2011 ◽  
Vol 71-78 ◽  
pp. 4184-4187
Author(s):  
Huan Zhang
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Production Line ◽  
Raw Material ◽  
Level Of Automation ◽  
Technology Process ◽  
New Energy ◽  
Mixed Mortar ◽  
Key Techniques ◽  
And Control

As a new energy-saving and environmental protection building material, dry-mixed mortar has been promoting actively in China. The key techniques of control system for dry-mixed mortar production line were introduced in this paper, which was mainly based on PLC and smart weighing instrumentation. Firstly, the technology process and control demands were presented. Secondly, control system configuration, control strategy were proposed in detail. Finally, the key intelligent adjust algorithms were described as well. The practical operation verifies that the control system is highly reliable and stable, and it greatly enhances the level of automation and weighing accuracy of the raw material and meets the equipments requirements of energy-saving and green running.

ENERGY SAVING ALGORITHMS AND CONTROL SYSTEM

2006 ◽  
Vol 39 (19) ◽  
pp. 141-146
Author(s):  
N. NIKOLOVA ◽  
E. NIKOLOV
Keyword(s):  
Control System ◽  
Energy Saving ◽  
And Control

Designs of Intelligent Environ-Control System Based on Energy Saving and IEH- Study on S House

2011 ◽  
Vol 121-126 ◽  
pp. 2653-2660
Author(s):  
Nien Tsu Chen ◽  
Che Ming Chiang ◽  
Kuang Sheng Liu ◽  
Shang Yuan Chen ◽  
Yi Chang Chiang
Keyword(s):  
Control System ◽  
Energy Saving ◽  
Heat Recovery ◽  
Development Trend ◽  
Green Buildings ◽  
Environmental Sensors ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
And Control ◽  
Indoor Monitoring

Intelligent green buildings are the latest development trend of Taiwan’s building industry. This research focuses on how to control the components and equipments in a building in accordance with the variation of environment and needs of users. In the research, the equipments (heat recovery ventilation, HRV) and components (top windows of ventilation tower) were automatically driven by various environmental sensors installed outdoor and indoor for controlling environmental conditions in real time. Meanwhile, it was helpful to energy saving and indoor environmental health (IEH). S house located in Chiayi of Taiwan is the object of the research. The intelligent environ-control system of S house can be divided into three parts: small weather station monitoring system, intelligent window scenario control system, and indoor monitoring and control system. The points of this research mainly are to construct a overall structure of the intelligent environ-control system, the logic and mechanism of intelligent window scenario control system, essential fresh air calculation, and the judgment on activation and operation of indoor monitoring and control system.

Development of a Jacobian Module for Advanced Pulp and Paper Simulation and Control

TAPPI Journal ◽  
2009 ◽  
Vol 8 (1) ◽  
pp. 4-11
Author(s):  
MOHAMED CHBEL ◽  
LUC LAPERRIÈRE
Keyword(s):  
Control System ◽  
Nonlinear Behavior ◽  
Simulation Software ◽  
Pulp And Paper ◽  
Pid Controllers ◽  
Tuning Parameters ◽  
Pid Tuning ◽  
Fixed Set ◽  
And Control ◽  
Operating Points

Pulp and paper processes frequently present nonlinear behavior, which means that process dynam-ics change with the operating points. These nonlinearities can challenge process control. PID controllers are the most popular controllers because they are simple and robust. However, a fixed set of PID tuning parameters is gen-erally not sufficient to optimize control of the process. Problems related to nonlinearities such as sluggish or oscilla-tory response can arise in different operating regions. Gain scheduling is a potential solution. In processes with mul-tiple control objectives, the control strategy must further evaluate loop interactions to decide on the pairing of manipulated and controlled variables that minimize the effect of such interactions and hence, optimize controller’s performance and stability. Using the CADSIM Plus™ commercial simulation software, we developed a Jacobian sim-ulation module that enables automatic bumps on the manipulated variables to calculate process gains at different operating points. These gains can be used in controller tuning. The module also enables the control system designer to evaluate loop interactions in a multivariable control system by calculating the Relative Gain Array (RGA) matrix, of which the Jacobian is an essential part.

Classroom Lighting Energy-Saving Control System Based on Machine Vision Technology

2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Energy Saving ◽  
Back Propagation ◽  
Back Propagation Neural Network ◽  
Lighting Control ◽  
Lighting Energy ◽  
Neural Network Algorithm ◽  
Energy Saving Control ◽  
Model Algorithm

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.

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