999 resultados para industrial automation
Resumo:
The control, automation and optimization areas help to improve the processes used by industry. They contribute to a fast production line, improving the products quality and reducing the manufacturing costs. Didatic plants are good tools for research in these areas, providing a direct contact with some industrial equipaments. Given these capabilities, the main goal of this work is to model and control a didactic plant, which is a level and flow process control system with an industrial instrumentation. With a model it is possible to build a simulator for the plant that allows studies about its behaviour, without any of the real processes operational costs, like experiments with controllers. They can be tested several times before its application in a real process. Among the several types of controllers, it was used adaptive controllers, mainly the Direct Self-Tuning Regulators (DSTR) with Integral Action and the Gain Scheduling (GS). The DSTR was based on Pole-Placement design and use the Recursive Least Square to calculate the controller parameters. The characteristics of an adaptive system was very worth to guarantee a good performance when the controller was applied to the plant
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This work describes a ludic proposal for programming learning of industrial robots to be developed by groups of engineering students. Two projects are presented: Tic-tac-toe Opponent Robot and Environmentalist Robot. The first project use competitive search techniques of the Artificial Intelligence, computational vision, electronic and pneumatic concepts for ability decision making for a robotic agent on the tic-tae-toe game. The second project consists of a game that contains a questions and answers database about environmental themes. An algorithm selects the group of questions to be answered by the player, analyses the answers and sends the result to a industrial robot through serial port. According with the player performance, the robot makes congratulation movements and giving a gift to the winner player. Otherwise, the robot makes movements, disapproving the player performance.
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This work presents challenges and solutions for the teaching and learning of automation applied to integrated manufacturing by means of a methodological approach based on techniques, tools and industrial equipment directly applicable in the industry. The approach was implemented in a control and automation engineering course divided into expositive and laboratory classes. Since the success of the approach is mainly from the practical activities, the article focus more on activities developed in laboratory than theorical classes. Copyright © 2007 IFAC.
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The new digital technologies have led to widespread use of cloud computing, recognition of the potential of big data analytics, and significant progress in aspects of the Internet of Things, such as home automation, smart cities and grids and digital manufacturing. In addition to closing gaps in respect of the basic necessities of access and usage, now the conditions must be established for using the new platforms and finding ways to participate actively in the creation of content and even new applications and platforms. This message runs through the three chapters of this book. Chapter I presents the main features of the digital revolution, emphasizing that today’s world economy is a digital economy. Chapter II examines the region’s strengths and weaknesses with respect to digital access and consumption. Chapter III reviews the main policy debates and urges countries to take a more proactive approach towards, for example, regulation, network neutrality and combating cybercrime. The conclusion highlights two crucial elements: first, the need to take steps towards a single regional digital market that can compete in a world of global platforms by tapping the benefits of economies of scale and developing network economies; and second, the significance of the next stage of the digital agenda for Latin America and the Caribbean (eLAC2018), which will embody the latest updates to a cooperation strategy that has been in place for over a decade.
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A atual configuração do mundo do trabalho caracteriza-se pela complexidade e intensificação dos riscos à saúde do trabalhador. A presente tese aborda trabalho e saúde a partir do referencial da psicodinâmica de Dejours, privilegiando a categoria prazer-sofrimento, no contexto do trabalho com automação no Pólo Industrial de Manaus - PIM. Visando situar os aspectos macroeconômicos, apresenta-se a condição sócio-econômica dos operadores e o contexto da reestruturação produtiva do PIM, que se caracterizou por intensificação da automação. O objetivo dessa pesquisa foi analisar a organização de trabalho com automação e seus desdobramentos sobre a saúde dos operadores e das operadoras de máquina de inserção automática, focalizando o prazer-sofrimento e seus reflexos sobre o processo de saúde-adoecimento. Elegeu-se a abordagem qualitativa, em consonância com a fundamentação teórico-metodológica de Dejours. A pesquisa empírica foi realizada na área de inserção automática das duas empresas de origem japonesa, de grande porte, do segmento eletroeletrônico do PIM. Participaram como sujeitos 21 operadores de máquinas (dez de uma e onze de outra empresa). A principal fonte de dados foi a fala dos sujeitos, que responderam a uma entrevista individual semi-estruturada. Para a análise de dados foi realizada uma articulação da sistemática da Grounded Theory à base psicodinâmica, como opção de técnica qualitatativa adequada a entrevistas individuais. A preocupação com a “qualidade” se destacou como categoria central, mostrando-se presente em todas as esferas da organização de trabalho e modulando a vivência de prazer-sofrimento: dentre as principais fontes de prazer, realizar o trabalho com perfeição foi reiteradamente mencionado; em contrapartida, o medo de errar é uma das principais fontes de sofrimento, causa permanente de tensão, agravante do risco de adoecimento. O prazer provém da identificação com a tarefa de operar máquinas, de alta tecnologia, sem cometer erros; aprender mais e dominar a “tecnologia de ponta” é uma fonte de mobilização subjetiva. O sofrimento decorre da sobrecarga de trabalho, mal remunerado, sob intensa pressão por “qualidade”. Para suportar o sofrimento, os trabalhadores constroem estratégias coletivas de defesa: usam gracejos direcionados aos colegas que cometem erros, interpretados como recurso para reduzir o sofrimento originário do medo de falhar. Utilizam ainda grande diversidade de estratégias individuais de defesa, reflexo do individualismo. O reconhecimento, considerado na psicodinâmica como via privilegiada para a ressignificação do sofrimento, é pouco presente: menos de metade dos operadores se considera devidamente reconhecido por seu trabalho; mencionam os baixos salários como evidência da falta de reconhecimento. Em uma das empresas também falta o reconhecimento simbólico, agravando o sofrimento. O predomínio do sofrimento sobre o prazer no trabalho conduz a um desequilíbrio que resulta no uso exacerbado de defesas: manifestam-se as patologias sociais do trabalho, dentre as quais foi identificada a patologia da sobrecarga, relacionada à carga excessiva de trabalho que é importa aos operadores e às operadoras, pois à aquisição de máquinas corresponde a redução de pessoas. O sofrimento no trabalho, no PIM, está sendo intensificado com a automação, inserida no contexto de super-exploração do trabalho, integrante da organização flexível do capital.
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The proposed of scanning of an electrical industrial substation HV is associated with a segment of the Electrotechnical area and aims the study and preliminary application of digital technologies in the protection, control, measurement and automation maneuvers aimed at a Industrial Electrical System typical High Voltage. Well intended to supervision, protection and control of major electrical and thermal quantities involved in a substation, such as voltage levels, current, temperature, power factor, loads of transformers and circuit feeders, status of interlocking devices, switching equipment maneuvers, etc
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With the growth of the demand on electric energy in the last decades, the urban distribution and transmission systems have experienced a bigger necessity to improve on the substations, the automation procedures and techniques on the operation maneuvers of such systems, in a sense that better attends the quality levels, availability, continuity and operational reliability. In this way, the objective of the present paper is to perform a study of protection and control on an electrical industrial system involving the procedures of digitizing and maneuvers automatism utilizing operational techniques and other pertinent information used in a typical high-voltage Industrial Electrical System. Analysis were made on short-circuits to specify the main components of the 138 [kV] substation, in addition, there were used digital MiCOM relays to make the protection of the present elements. With that, a program was developed to allow the user to monitor the condition of circuit-breakers through a supervision screen being able to simulate some kinds of faults, as well as observing the characteristics of each device. This way, the importance of having a fast and reliable system that ensures the equipment’s protection and the industrial process continuity due to faults on the electrical system is noticeable. It’s important to highlight that all this digitizing was mainly favored by the development of digital technology on the last years, mainly on microelectronics, also with the appearance of supervision gadgets allowing the development of complex systems in supervision and electric energy control
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In this paper we present a new tool to perform guided HAZOP analyses. This tool uses a functional model of the process that merges its functional and its structural information in a natural way. The functional modeling technique used is called D-higraphs. This tool solves some of the problems and drawbacks of other existing methodologies for the automation of HAZOPs. The applicability and easy understanding of the proposed methodology is shown in an industrial case.
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This paper presents an Ontology-Based multi-technology platform designed to avoid some issues of Building Automation Systems. The platform allows the integration of several building automation protocols, eases the development and implementation of different kinds of services and allows sharing information related to the infrastructure and facilities within a building. The system has been implemented and tested in the Energy Efficiency Research Facility at CeDInt-UPM.
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The increasing economic competition drives the industry to implement tools that improve their processes efficiencies. The process automation is one of these tools, and the Real Time Optimization (RTO) is an automation methodology that considers economic aspects to update the process control in accordance with market prices and disturbances. Basically, RTO uses a steady-state phenomenological model to predict the process behavior, and then, optimizes an economic objective function subject to this model. Although largely implemented in industry, there is not a general agreement about the benefits of implementing RTO due to some limitations discussed in the present work: structural plant/model mismatch, identifiability issues and low frequency of set points update. Some alternative RTO approaches have been proposed in literature to handle the problem of structural plant/model mismatch. However, there is not a sensible comparison evaluating the scope and limitations of these RTO approaches under different aspects. For this reason, the classical two-step method is compared to more recently derivative-based methods (Modifier Adaptation, Integrated System Optimization and Parameter estimation, and Sufficient Conditions of Feasibility and Optimality) using a Monte Carlo methodology. The results of this comparison show that the classical RTO method is consistent, providing a model flexible enough to represent the process topology, a parameter estimation method appropriate to handle measurement noise characteristics and a method to improve the sample information quality. At each iteration, the RTO methodology updates some key parameter of the model, where it is possible to observe identifiability issues caused by lack of measurements and measurement noise, resulting in bad prediction ability. Therefore, four different parameter estimation approaches (Rotational Discrimination, Automatic Selection and Parameter estimation, Reparametrization via Differential Geometry and classical nonlinear Least Square) are evaluated with respect to their prediction accuracy, robustness and speed. The results show that the Rotational Discrimination method is the most suitable to be implemented in a RTO framework, since it requires less a priori information, it is simple to be implemented and avoid the overfitting caused by the Least Square method. The third RTO drawback discussed in the present thesis is the low frequency of set points update, this problem increases the period in which the process operates at suboptimum conditions. An alternative to handle this problem is proposed in this thesis, by integrating the classic RTO and Self-Optimizing control (SOC) using a new Model Predictive Control strategy. The new approach demonstrates that it is possible to reduce the problem of low frequency of set points updates, improving the economic performance. Finally, the practical aspects of the RTO implementation are carried out in an industrial case study, a Vapor Recompression Distillation (VRD) process located in Paulínea refinery from Petrobras. The conclusions of this study suggest that the model parameters are successfully estimated by the Rotational Discrimination method; the RTO is able to improve the process profit in about 3%, equivalent to 2 million dollars per year; and the integration of SOC and RTO may be an interesting control alternative for the VRD process.
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This thesis describes the history of robots and explains the reasons for the international differences in robot diffusion, and the differences in the diffusion of various robot applications with reference to the UK. As opposed to most of the literature, diffusion is examined with an integrated and interdisciplinary perspective. Robot technology evolves from the interaction of development, supply and manufacture, adoption, and promotion. activities. Emphasis is given to the analysis of adoption, at present the most important limiting factor of robot advancement in the UK. Technical development is inferred from a comparison of surveys on equipment, and from the topics of ten years of symposia papers. This classification of papers is also used to highlight the international and institutional differences in robot development. Analysis of the growth in robot supply, manufacture, and use is made from statistics compiled. A series of interviews with users and potential users serves to illustrate the factors and implications of the adoption of different robot systems in the UK. Adoption pioneering takes place when several conditions exist: when the technology is compatible with the firm, when its advantages outweigh its disadvantages, and particularly when a climate exists which encourages the managerial involvement and the labour acceptance. The degree of compatibility (technical, methodological, organisational, and economic) and the consequences (profitability, labour impacts, and managerial effects) of different robot systems (transfer, manipulative, processing, and assembly) are determined by various aspects of manufacturing operations (complexity, automation, integration, labour tasks, and working conditions). The climate for adoption pioneering is basically determined by the performance of firms. The firms' policies on capital investment have as decisive a role in determining the profitability of robots as their total labour costs. The performance of the motor car industry and its machine builders explains, more than any other factor, the present state of robot advancement in the UK.
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New techniques in manufacturing, popularly referred to as mechanization and automation, have been a preoccupation of social and economic theorists since the industrial revolution. A selection of relevant literature is reviewed, including the neoclassical economic treatment of technical change. This incorporates alterations to the mathematical production function and an associated increase in the efficiency with which the factors of production are converted into output. Other work emphasises the role of research and development and the process of diffusion, whereby new production techniques are propagated throughout industry. Some sociological writings attach importance to the type of production technology and its effect on the organisational structure and social relations within the factory. Nine detailed case studies are undertaken of examples of industrial innovation in the rubber, automobile, vehicle components, confectionery and clothing industries. The old and new techniques are compared for a range of variables, including capital equipment, labour employed, raw materials used, space requirements and energy consumption, which in most cases exhibit significant change with the innovation. The rate of output, labour productivity, product quality, maintenance requirements and other aspects are also examined. The process by which the change in production method was achieved is documented, including the development of new equipment and the strategy of its introduction into the factory, where appropriate. The firm, its environment, and the attitude of different sectors of the workforce are all seen to play a part in determining the motives for and consequences which flow from the innovations. The traditional association of technical progress with its labour-saving aspect, though an accurate enough description of the cases investigated, is clearly seen to afford an inadequate perspective for the proper understanding of this complex phenomenon, which also induces change in a wide range of other social, economic and technical variables.
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This thesis is based upon a case study of the adoption of digital, electronic, microprocessor-based control systems by Albright & Wilson Limited - a UK chemical producer. It offers an explanation of the company's changing technology policy between 1978 and 1981, by examining its past development, internal features and industrial environment. Part One of the thesis gives an industry-level analysis which relates the development of process control technology to changes in the economic requirements of production . The rapid diffusion of microcomputers and other microelectronic equipment in the chemical industry is found to be a response to general need to raise the efficiency of all processes, imposed by the economic recession following 1973. Part Two examines the impaot of these technical and eoonomic ohanges upon Albright & Wilson Limited. The company's slowness in adopting new control technology is explained by its long history in which trends are identified whlich produced theconservatism of the 1970s. By contrast, a study of Tenneco Incorporated, a much more successful adoptor of automating technology, is offered with an analysis of the new technology policy of adoption of such equipment which it imposed upon Albright & Wilson, following the latter's takeover by Tenneco in 1978. Some indications of the consequences by this new policy of widespread adoptions of microprocessor-based control equipment are derived from a study of the first Albright & Wilson plant to use such equipment. The thesis concludes that companies which fail to adopt rapidly the new control technology may not survive in the recessionary environment, the long- established British companies may lack the flexibility to make such necessary changes and that multi-national companies may have an important role jn the planned transfer and adoption of new production technology through their subsidiaries in the UK.
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This dissertation analyzes how marketers define markets in technology-based industries. One of the most important strategic decisions marketers face is determining the optimal market for their products. Market definition is critical in dynamic high technology markets characterized by high levels of market and technological uncertainty. Building on literature from marketing and related disciplines, this research is the first in-depth study of market definition in industrial markets. Using a national, probability sample stratified by firm size, 1,000 marketing executives in nine industries (automation, biotechnology, computers, medical equipment and instrumentation, pharmaceuticals, photonics, software, subassemblies and components, and telecommunications) were surveyed via a mail questionnaire. A 20.8% net response rate yielding 203 surveys was achieved. The market structure-conduct-performance (SCP) paradigm from industrial organization provided a conceptual basis for testing a causal market definition model via LISREL. A latent exogenous variable (competitive intensity) and four latent endogenous variables (marketing orientation, technological orientation, market definition criteria, and market definition success) were used to develop and test hypothesized relationships among constructs. Research questions relating to market redefinition, market definition characteristics, and internal (within the firm) and external (competitive) market definition were also investigated. Market definition success was found to be positively associated with a marketing orientation and the use of market definition criteria. Technological orientation was not significantly related to market definition success. Customer needs were the key market definition characteristic to high-tech firms (technology, competition, customer groups, and products were also important). Market redefinition based on changing customer needs was the most effective of seven strategies tested. A majority of firms regularly defined their market at the corporate and product-line level within the firm. From a competitive perspective, industry, industry sector, and product-market definitions were used most frequently.
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Have been less than thirty years since a group of graduate students and computer scientists working on a federal contract performed the first successful connection between two computers located at remote sites. This group known as the NWG Network Working Group, comprised of highly creative geniuses who as soon as they began meeting started talking about things like intellectual graphics, cooperating processes, automation questions, email, and many other interesting possibilities 1 . In 1968, the group's task was to design NWG's first computer network, in October 1969, the first data exchange occurred and by the end of that year a network of four computers was in operation. Since the invention of the telephone in 1876 no other technology has revolutionized the field of communications over the computer network. The number of people who have made great contributions to the creation and development of the Internet are many, the computer network a much more complex than the phone is the result of people of many nationalities and cultures. However, remember that some years later in 19732 two computer scientists Robert Kahn and Vinton Cerft created a more sophisticated communication program called Transmission Control Protocol - Internet Protocol TCP / IP which is still in force in the Internet today.