scholarly journals Automatic control of industrial peak loads

2009 ◽  
Vol 22 (3) ◽  
pp. 329-339
Author(s):  
Marija Kacarska ◽  
Vesna Arnautovski-Toseva ◽  
Sanja Veleva

Automatic control of equipment is anticipated to represent the next logical step in the progression from passive monitoring toward plant wide automation. Automatic transfer functions, load-shedding and load sequencing are expected to find increasing application. In this paper a device named Peak Load for monitoring and control of power consumption in industrial plants is presented. It is a PLC based maxigraph developed upon the analysis of efficient and optimized use of the electrical energy and is planned to be used by medium and big industrial energy consumers with purpose to decrease the cost of their production. .

2019 ◽  
pp. 37-47
Author(s):  
Yao Yueqin ◽  
Oleksiy Kozlov ◽  
Oleksandr Gerasin ◽  
Galyna Kondratenko

Analysis and formalization of the monitoring and automatic control tasks of the MR for the movement and execution of various types of technological operations on inclined and vertical ferromagnetic surfaces are obtained. Generalized structure of mobile robotic complex is shown with main subsystems consideration. Critical analysis of the current state of the problem of development of universal structures of mobile robots (MRs) for the various types of technological operations execution and elaborations of computerized systems for monitoring and control of MR movement is done. In particular, wheeled, walked and crawler type MRs with pneumatic, vacuum-propeller, magnetic and magnetically operated clamping devices to grip with vertical and ceiling surfaces are reviewed. The constructive features of the crawler MR with magnetic clamping devices capable of moving along sloping ferromagnetic surfaces are considered. The basic technical parameters of the MR are shown for the further synthesis of computerized monitoring and automatic control systems. Formalization of the tasks of monitoring and control of the MR positioning at the processing of large area ferromagnetic surfaces is considered from the point of view of control theory.


Author(s):  
Osama Mahfooz ◽  
Mujtaba Memon ◽  
Asim Iftikhar

<span>A PLC is a digital computer used to automate electromechanical processes. This research is<span> based on automation of a water tank by using Siemens PLC. Automatic control of water tanks<span> can work continuously and can provide accurate quantity of water in less time. In such process<span> there is no need of labor so there is no human error. Without human error, the quality of product<span> is better and the cost of production would definitely decrease with no error in quantity required.<span> Water level sensing can be implemented in industrial plants, commercial use and even at home<br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span>


Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3515
Author(s):  
Sung-Ho Sim ◽  
Yoon-Su Jeong

As the development of IoT technologies has progressed rapidly recently, most IoT data are focused on monitoring and control to process IoT data, but the cost of collecting and linking various IoT data increases, requiring the ability to proactively integrate and analyze collected IoT data so that cloud servers (data centers) can process smartly. In this paper, we propose a blockchain-based IoT big data integrity verification technique to ensure the safety of the Third Party Auditor (TPA), which has a role in auditing the integrity of AIoT data. The proposed technique aims to minimize IoT information loss by multiple blockchain groupings of information and signature keys from IoT devices. The proposed technique allows IoT information to be effectively guaranteed the integrity of AIoT data by linking hash values designated as arbitrary, constant-size blocks with previous blocks in hierarchical chains. The proposed technique performs synchronization using location information between the central server and IoT devices to manage the cost of the integrity of IoT information at low cost. In order to easily control a large number of locations of IoT devices, we perform cross-distributed and blockchain linkage processing under constant rules to improve the load and throughput generated by IoT devices.


2011 ◽  
Vol 301-303 ◽  
pp. 1714-1718
Author(s):  
Ji Meng Zhang ◽  
Hong Shuo Wang ◽  
Ben De Gan

In the automatic control system of industrial field, the production process monitoring and control process is dependent on Mutual coordination of various automation instrument, computer and corresponding actuators. The coordination is accurate or not, the key is signal transmission quality among those agencies. The application and selection of isolation device directly affect signal transmission. This paper discusses the application and choose of industrial site isolator from isolation principle, the principle and choose for isolator, commissioning and parameter selection based on practical application.


Author(s):  
Ігор Бережний ◽  
◽  
Адріан Наконечний ◽  

Based on the research and comparative analysis of existing systems, an algorithm for remote monitoring and control of the technological process using IoT technologies is proposed and developed. We consider a system with flexible algorithms, which combines different data protocols using Wi-Fi technology, which allows you to use this type of system in any industry safely with high speed, energy efficiency and without the cost of communication lines.


1995 ◽  
Vol 387 ◽  
Author(s):  
Chi Yung Fu ◽  
Loren Petrich ◽  
Benjamin Law

AbstractThe cost of a fabrication line, such as one in a semiconductor house, has increased dramatically over the years, and it is possibly already past the point that some new start-up company can have sufficient capital to build a new fabrication line. Such capital-intensive manufacturing needs better utilization of resources and management of equipment to maximize its productivity. In order to maximize the return from such a capital-intensive manufacturing line, we need to work on the following: 1) increasing the yield, 2) enhancing the flexibility of the fabrication line, 3) improving quality, and finally 4) minimizing the down time of the processing equipment. Because of the significant advances now made in the fields of artificial neural networks, fuzzy logic, machine learning and genetic algorithms, we advocate the use of these new tools in manufacturing. We term the applications to manufacturing of these and other such tools that mimic human intelligence neural manufacturing. This paper describes the effort at the Lawrence Livermore National Laboratory (LLNL) [1] to use artificial neural networks to address certain semiconductor process modeling, monitoring and control questions.


2012 ◽  
Vol 614-615 ◽  
pp. 1352-1356
Author(s):  
Jin Jiang Zhang ◽  
Yong Ping Zheng

Photovoltaics systems effectively used in buildings will contribute to reduce electrical energy consumption and carbon emissions significantly. Main characteristics and recent development of BIPVs and BAPVs and is analyzed firstly. The system structure and major equipment for an experimental BIPVs/BAPVs system is presented. And a multi-performance comprehensive monitoring and control system integrated both BIPVs and BAPVs is designed as well. It established an important system platform for further analysis of the interaction mechanism among the electrical performance, component reliability, and environmental adaptability of BIPVs particularly.


Author(s):  
Yan Xunshi ◽  
Zhou Yan ◽  
Zhao Jingjing ◽  
Sun Zhe ◽  
Shi Zhengang

In order to cut cost and simplify redevelopment, the paper proposes a new design for monitoring and control system in active magnetic bearing. Data sampling and processing module is separated with data display module. Singlechip processor is used to sample data from the DSP controller, and processes the data into the needed form. A touch-screen only for display takes on the processed data to customers. The design makes the systems easy to develop and shrink the cost to one tenth of previous design.


1987 ◽  
Vol 20 (1) ◽  
pp. 7-17 ◽  
Author(s):  
R A Furness

Pipelines are an integral part of the world's economy and literally billions of pounds worth of fluids are moved each year in pipelines of varying lengths and diameters. As the cost of some of these fluids and the price of moving them has increased, so the need to measure the flows more accurately and control and operate the line more effectively has arisen. Instrumentation and control equipment has developed steadily in the past decade but not as fast as the computers and microprocessors that are now a part of most large scale pipeline systems. It is the interfacing of the new generation of digital and sometimes ‘intelligent’ instrumentation with smaller and more powerful computers that has led to a quiet but rapid revolution in pipeline monitoring and control. This paper looks at the more significant developments from the many that have appeared in the past few years and attempts to project future trends in the industry for the next decade.


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