Some Interactions of Information and Control in Integrated Automation Systems

Author(s):  
Edward J. Barkmeyer
2018 ◽  
Vol 226 ◽  
pp. 02015 ◽  
Author(s):  
Ksenia I. Goryanina ◽  
Aleksndr D. Lukyanov ◽  
Oleg I. Katin

One of the main elements of automation of industrial enterprises is the use of robotic systems consisting of mechanical manipulators and control systems. In recent years, the market of service robotics has been actively developing. The main part of the market of professional service robots in value terms is occupied by medical devices. Agriculture and logistics are also actively developing areas. The success of the automation systems implementation depends on the solution of complex scientific and technical problems, primarily in the following areas: machine vision; sensor networks; navigation systems. Thus, one of the fundamental problems, the solution of which largely depends on the success in creating the perfect adaptive and intelligent robots, is the use of such types of sensors of sensory information, which allow obtaining a sufficiently large amount of information about the problem environment in a short time. This is a problem of creating means of perception.


2016 ◽  
Vol 2 (4) ◽  
Author(s):  
Silvia Sanz ◽  
Antonio Ciriello ◽  
Wolfgang Krause ◽  
Asriel Eisinger

Human factors engineering (HFE), such as other engineering disciplines involved in plant design, cannot be considered retroactively. The engineering principles and methods derived from deep knowledge of the cognitive and perceptual capabilities and limitations of the plant’s “human element” are applied instead throughout the plant design. Focusing HFE efforts, the plant’s HMI is designed to ensure effective and error-free performance of the monitoring, control, and administrative tasks allocated to the control-room crew. A project’s HFE program prescribes three main steps (1) The task analysis and the analyses of plant monitoring and control functions to identify those to be performed manually (all others are performed automatically, or in a combination of manual and automatic, while still manually monitored) and determine in turn the HMI inventory of information displays, controls, alarms, and operating procedures required to support their performance. (2) The guided design of the plant’s HMI, ensuring its compliance with HFE principles and the completeness and correctness of the task support it provides. (3) The subsequent evaluation of operator performance, trained to follow the operating procedures and use of the HMI. Authors’ experience shows that the three following required steps pose challenges to project execution: (1) the acquisition and analysis of the multidisciplinary functional requirements (related to plant monitoring and control); (2) the likely interdisciplinary analysis and how fulfillment of these requirements shall be allocated to I&C automation systems or operators (or both); and (3) the HFE-guided HMI design and validation. An additional fourth challenge poses a timely and cost-effective application of HFE to I&C engineering, which can be achieved by adequate planning and project management procedures. This paper aims to summarize some of our industrial experiences gained in new builds and modernization projects of nuclear power plants around the world.


Author(s):  
Mehmet Ali Guney ◽  
Ioannis Raptis

In the last years, there have been several attempts to deploy Autonomous Guided Vehicles (AGVs) to automate the operation of warehouse environments. The implementation of AGVs has numerous advantages over conventional warehouse automation systems in terms of cost and scalability. In this work, we present the development of a test-bed platform for the utilization of an AGV collective to a warehouse automation system. The system architecture has plug-and-play algorithmic design which makes it extremely modular. In this system, small-scale robotic forklifts are used to transport an arbitrary number of circular pallets to predefined locations. The forklift robots are able to move in the arena without colliding each other due to the implementation of a centralized deconfliction algorithm. A task allocation algorithm prevents the forklift drives from being trapped by a fence of pallets. The performance of the proposed system is validated by both simulation and experimental results.


2020 ◽  
pp. 158-166
Author(s):  
Rodrigo Aristóteles ◽  
Tarcisio Leão

Most industrial processes have computers responsible for managing the production stages, which are the workstations. They monitor and control equipment (frequency inverters, screwdrivers and others) by sending commands via the network. This article shows a communication system between a robotic manipulator and a workstation, Modbus TCP and Advanced Control Language (ACL) protocols, respectively. The devices mentioned do not communicate directly, as the communication protocols are different. Therefore, it is not possible to perform this integration between the equipment, causing a sector of the industrial plant to be inoperative. There are several similar problems in automation systems, so there is the use of the gateway in various processes. It is a technology used in the conversion between protocols, thus being the object of study. The methodology starts with configuring the gateway according to the parameters of the workstation and the robotic manipulator, and then employs the use of the Wireshark® network monitor in order to verify that data sent and received follow the requested specifications.


Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems


Author(s):  
Н.А. Кислицын ◽  
Д.Ш. Акчурин ◽  
М.Г. Баширов

Автоматизация технологических процессов играет все более важную роль в условиях цифровизации управления технологическими процессами, производствами и целыми предприятиями. Важнейшей составной частью процесса цифровизации современного промышленного производств является подготовка кадров, владеющих необходимыми компетенциями в области программирования, монтажа, наладки, ремонта и эксплуатации современных цифровых средств и систем управления. Для решения этой задачи средние специальные и высшие учебные заведения должны иметь учебно-исследовательские лабораторные комплексы, позволяющие обучающимся приобрести необходимые для профессиональной деятельности знания, умения и навыки. В условиях действия экономических санкций против России актуальным становится разработка таких учебно-исследовательских лабораторных комплексов на основе современных отечественных программно-технических комплексов автоматизации. Для расширения функциональных возможностей созданного учебно-исследовательского лабораторного комплекса, содержащего физический тепловой объект управления в виде эмулятора печи, комплекс дополняется виртуальными объектами управления, созданными путем их моделирования. Использование виртуальных объектов управления позволяет создавать модели технологических процессов на их основе, разрабатывать и исследовать системы автоматического управления этими процессами. Разработан цифровой двойник физического учебно-исследовательского лабораторного комплекса, позволяющий в полном объеме выполнять все лабораторные работы в дистанционном формате обучения. Automation of technological processes is playing an increasingly important role in the context of digitalization of the management of technological processes, production facilities and entire enterprises. The most important part of the digitalization process of modern industrial production is the training of personnel who have the necessary competencies in the field of programming, installation, commissioning, repair and operation of modern digital means and control systems. To solve this problem, secondary specialized and higher educational institutions must have educational and research laboratory complexes that allow students to acquire the knowledge, skills and abilities necessary for professional activity. In the context of economic sanctions against Russia, the development of such educational and research laboratory complexes based on modern domestic software and hardware automation systems becomes urgent. To expand the functionality of the created educational and research laboratory complex containing a physical thermal control object in the form of a furnace emulator, the complex is supplemented with virtual control objects created by modeling them. The use of virtual control objects allows you to create models of technological processes based on them, to develop and research systems for automatic control of these processes. A digital twin of the physical educational and research laboratory complex has been developed, which allows performing all laboratory work in a distance learning format in full.


2020 ◽  
Vol 4 (1) ◽  
pp. 16-25
Author(s):  
Zukra Budi Utama ◽  
Thamrin Abdullah ◽  
Suparno Eko Widodo

How organizations survive following global phenomena in the form of increasingly random and unpredictable changes, which have now entered the industrial era 4.0. by increasing the acceleration of internet-based multi-media computer technology, in communication and control systems that are integrated with automation systems? Organizations must make a big leap by realizing the convergence of business strategies with HR strategies. Business and HR strategies are not only unidirectional but united in harmony. Where HR can respond to changes in the external and internal environment that affect business strategies, right at the moment the changes occur, so that convergence is always realized and sustained sustainably, then the focus of innovation drives the achievement of target organizations. Two things must be done to unite is to align the direction of departmental policies - as standard guidelines for individual work processes - with the direction of organizational strategy, then develop HR to be able to build integrated systematic work processes to eliminate routine work, so that the full focus of innovation responds to each convergence of disruptive changes. Our research in measuring the distance of policies from work functions to business strategies in private organizations, found an average achievement of 50%, to make improvements that reach 100%. For research conducted in public organizations, it was found that the achievement was very small, namely below 20%. The smaller the level of achievement the further away the organization is from the position of convergence. For this reason, HRD must build a Strategic KPI that encourages all management functions in line with organizational strategy, while developing Strategic HR to be ready to follow global developments. 


Author(s):  
V. I. Lyashenko ◽  
O. E. Khomenko ◽  
P. A. Kislyi

Improving of seismic safety of rocky deposits underground mining is an important scientific and social task. Among possible methods of its solving, application of new explosive materials occupies an important place. Main scientific and practical results of the study in this area presented. An analysis of previous studies and control observations, instrumental measuring of an explosion seismic action by devices and apparatus accomplished. It was shown, that seismic safety improving and efficiency of explosive work at mines increase reached by intensification of technological processes with application of high productivity selfpropelled and small-size charging machinery of new generation, such as machines of ЗЭВС-1 model and portable chargers of ЗЭП15 model, used for explosion operations mechanization. Application of pouring ecologically clean trotyl-free emulsion explosive materials of “Украинит-ПП-2” (Ukranit-PP-2) type also favors to the improving of seismic safety. Their characteristics and purpose presented, peculiarities of application considered. Analysis of methods and technical means for seismic measurements accomplished. Elaboration of seismic monitoring system with application of state-of-the-art automation systems and electronic seismographs proposed, that will allow decreasing level of seismic action on buildings and constructions in an explosion action zone down to requirements of seismic safety standards.


Author(s):  
Severin Sadjina ◽  
Stian Skjong ◽  
Armin Pobitzer ◽  
Lars T. Kyllingstad ◽  
Roy-Jostein Fiskerstrand ◽  
...  

Abstract Here, we present the R&D project Real-Time Digital Twin for Boosting Performance of Seismic Operations, which aims at increasing the overall operational efficiency of seismic vessels through digitisation and automation. The cornerstone in this project is the development of a real-time digital twin (RTDT) — a sophisticated mathematical model and state estimator of all the in-sea seismic equipment, augmented with real-time measurements from the actual equipment. This provides users and systems on-board the vessel with a live digital representation of the state of the equipment during operations. By combining the RTDT with state-of-the-art methods in machine learning and control theory, the project will develop new advisory and automation systems that improve the efficiency of seismic survey operations, reduce the risk of equipment damage, improve health monitoring and fault detection systems, and improve the quality of the seismic data. This will lead to less unproductive time, reduced costs, reduced fuel consumption and reduced emissions for a given operational scope. The main focus in this paper is the presentation of today’s challenges in offshore seismic surveys, and how state-of-the-art technology can be adopted to improve various operations. We discuss how simulation technology, machine learning and live sensor measurements can be integrated in on-board decision support and automation systems, and highlight the importance of such systems for designing the complex, autonomous offshore vessels of the future. Finally, we present some early results from the project in the form of two brief case studies.


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