scholarly journals THE UTILISATION OF INDUSTRIAL PROCESS MODELS IN ACQUIRING THE PRACTICAL SKILLS OF PLC PROGRAMMING

Author(s):  
Beata Jakubiec

In the paper the use of process models and computer simulation as the tools which facilitates students to learn the conditions of the industrial processes control has been presented. Such approach enables to familiarise with operation and programming of controllers of industrial process. Moreover, it also enables safe testing of control algorithms provided by logic controllers through their implementation at the real industrial facility.

2021 ◽  
Vol 25 (1) ◽  
pp. 55-72
Author(s):  
Miroslav Špaček

Purpose: The purpose of the paper is to introduce SW based decision-making tool that helps managers cope with risks and uncertainties of selected industrial processes. The solution is substantiated by the theoretical background. Methodology/Approach: The research is based on combination of contextual interviews with process management experts and Business Process Modelling Notion (BPMN). The former is aimed at the identification of industrial processes with highest risk exposure the latter is conducive to the design of processes to be subjected to stochastic simulation. Findings: The findings show that the risks and uncertainties in the management of industrial processes can be kept under control when using advanced tools of risk analysis as simulation approaches. The solution proposed comes in handy to risk analysts or process managers. Research Limitation/Implication: The library of process models which were included into stochastic simulation includes selected processes as investments, service providing or economic value-added engineering. Additional processes are being included on ongoing basis. Originality/Value of paper: The paper offers the solution to industrial process risk management which goes far beyond academic sphere and provides industrial practitioners SW tool that facilitates process risk management.


2008 ◽  
Vol 59 (7) ◽  
Author(s):  
Sanda Florentina Mihalache

A modelling approach that will facilitate an in-depth understanding of the interactions of the different phenomena, human interactions and environmental factors constituting �real world� industrial processes is presented. An important industrial system such as Gas Processing Unit (GPU) have inter-related internal process activities coexisting with external events and requires a real time inter-disciplinary approach to model them. This modeling framework is based on identifying as modules, the part of processes that have interactions and can be considered active participants in overall behaviour. The selected initial set of modules are structured as Petri net models and made to interact iteratively to provide process states of the system. The modeling goal is accomplished by identifying the evolution of the process states as a means of effective representation of the �actual running�� of the industrial process. The paper discusses the function and the implementation of the modelling method as applicable to the industrial case of GPU.


Author(s):  
S.Yu. Trudnev ◽  

The most widely used single-phase asynchronous motors are described and also substitution and vector dia-grams are reviewed. Theoretical and mathematical descriptions of processes of controlling and enabling asynchronous modes of operation were provided, on the basis of which computer models of a single-phase asynchronous motor in static and dynamic modes was created in the Matlab program. Experiments were per-formed on the real and virtual models, and the data obtained were processed and compared to confirm the adequacy of the developed virtual model.


1986 ◽  
Vol 18 (6) ◽  
pp. 35-45 ◽  
Author(s):  
John C. Kissel

Parameters characterizing intrasolid, liquid/solid, and gas/liquid mass transport phenomena in biological treatment systems are required if mass transfer is to be included in process models. Estimates of such parameters are presented and discussed. Collective and individual effects of mass transfer resistances are illustrated by computer simulation of a high-rate trickling filter.


Author(s):  
Leonid Borodavko ◽  
Andrey Ermakov ◽  
Valentina Belyankina

The article discusses some aspects to be taken into account when preparing polygraph examiners in order to form skills for conducting polygraph tests using search tests related to the method of revealing hidden information. Search tests have their own characteristics and differ from other tests, both in the degree of complexity and the composition of the methodological techniques used, and in the degree of accuracy and reliability of the results obtained. The use of search tests assumes that the polygraph examiner has not only knowledge, but also practical skills to perform a certain sequence of actions for their use, as well as the interpretation of the results obtained. Special attention is paid to the consideration of a number of difficulties that arise when using search tests, directly related to the interpretation of the information received and the development of techniques for the formation of skills for solving them. The authors put the main emphasis on the fact that in the process of training polygraph examiners, self-conducting polygraph tests when solving problems modeled on the basis of situations from practical activities, as well as a detailed consideration of the causes of psychophysiological reactions, will contribute to improving the level of professional competence in decision-making in nonstandard situations. In addition, conducting a detailed analysis of the results obtained, taking into account the interpretation of the recorded reactions when using search tests, will help to reduce the likelihood of making errors of various types in the real conditions of the future polygraph examiner’s professional activity.


Author(s):  
Diego Villa Valdivieso ◽  
Mabel Parada Rivera ◽  
Marlene García Veloz

The main objective of this work was to design the industrial process for the elaboration of quinoa extruded (Chenopodium quinoa Willd) of vanilla, chocolate and passion fruit flavors. The first step was the physical, bromatological and microbiological characterization of the raw material according to the ‘NTE INEN 1673 (2013): Quinoa Requirements’. Next, both the laboratory and industrial processes were performed, in which the unitary operations suitable for precise design were determined, including extrusion, evaporation, mixing and drying. Simultaneously, data of the necessary processes were taken (humidity, temperature and time) which facilitated all engineering calculations essential to generate a daily production using 17 kg of natural quinoa extrude to obtain 22,702 kg of vanilla, 23,491 kg of chocolate or 24,137 kg of passion fruit values that were determined by mass balances. With these processed samples, a sensory evaluation was conducted using a preference test in which the vanilla flavor obtained a 63.03% acceptability, followed by passion fruit with 20.72%, and finally chocolate with 16.22%. Once it was completed, the design was validated through the ‘NTE INEN 2570 (2011): grain, cereal and seed snacks. Requirements’, recording values within the limits recommended by the norm. Thus, the product is suitable for human consumption. Keywords: Humidity, Extrusion, Mass balance, food safety, Statgraphycs (software). Resumen El presente trabajo tuvo por principal objetivo diseñar el proceso industrial para la elaboración de extruido de quinua (Chenopodium quinoa Willd) sabor a vainilla, chocolate y maracuyá, donde para cumplirlo se inició con la caracterización física, bromatológica y microbiológica de la materia prima acorde a la ‘NTE INEN 1673 (2013): Quinua. Requisitos.’, seguido a esto se desarrolló el proceso tanto a nivel de laboratorio como industrial en donde se determinaron las operaciones unitarias idóneas para un diseño preciso entre las que constan la extrusión, la evaporación, el mezclado y el secado, a la vez se tomaron los datos necesarios de las variables del proceso (humedad, temperatura y tiempo) que ayudarían a realizar todos los cálculos de ingeniería indispensables para generar una producción diaria que utiliza 17 kg de extruido de quinua natural para obtener 22,702 kg de vainilla, 23,491 de chocolate o 24,137 kg de maracuyá, valores que fueron determinados mediante balances de masa. Con las muestras elaboradas se procedió a realizar una ficha de evaluación sensorial utilizando una prueba de preferencia en la que el sabor de vainilla tuvo un 63,03% de aceptabilidad, seguido del de maracuyá con un 20,72% y por último el de chocolate con un 16,22%. Una vez se culminó el diseño se realizó su validación a través de la ‘NTE INEN 2570 (2011): Bocaditos de granos, cereales y semillas. Requisitos.’, registrando valores dentro de los límites recomendados por dicha norma, por lo tanto el producto es apto para el consumo humano. Palabras Clave: Humedad, Extrusión, Balance de masa, Seguridad alimentaria Statgraphycs (software).


2020 ◽  
Vol 30 (1) ◽  
pp. 109-119
Author(s):  
Aleksandar Lebl ◽  
Dragan Mitic ◽  
Zarko Markov ◽  
Verica Vasiljevic

The output power of traffic channels in one cell of GSM like systems is estimated in this paper. We consider the real case: the number of users is much higher than the number of channels, the output power of one channel depends on the cube of the distance between a mobile user and the base station, and the distribution of users in the cell is uniform. We derive the expressions for cumulative distribution of output power of one channel and for the mean output power of the whole base station. Results of the calculation are confirmed by computer simulation.


Author(s):  
Charles Tim Batista Garrocho ◽  
Célio Márcio Soares Ferreira ◽  
Carlos Frederico Marcelo da Cunha Cavalcanti ◽  
Ricardo Augusto Rabelo Oliveira

The industrial internet of things is expected to attract significant investment to the industry. In this new environment, blockchain presents immediate potential in industrial IoT applications, offering several benefits to industrial cyber-physical systems. However, works in the blockchain literature target environments that do not meet the reality of the factory and do not assess the impact of the blockchain on industrial process requirements. Thus, this chapter presents an investigation of the evolution of industrial process automation systems and blockchain-based applications in the horizontal and vertical integration of the various systems in a supply chain and factories. In addition, through an investigation of experimental work, this work presents issues and challenges to be faced for the application of blockchain in industrial processes. Evaluations and discussions are mainly focused on aspects of real-time systems in machine-to-machine communication of industrial processes.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3968 ◽  
Author(s):  
Jingbo Wang ◽  
Weiming Shao ◽  
Zhihuan Song

Because of multiple manufacturing phases or operating conditions, a great many industrial processes work with multiple modes. In addition, it is inevitable that some measurements of industrial variables obtained through hardware sensors are incorrectly observed, recorded or imported into databases, resulting in the dataset available for statistic analysis being contaminated by outliers. Unfortunately, these outliers are difficult to recognize and remove completely. These process characteristics and dataset imperfections impose challenges on developing high-accuracy soft sensors. To resolve this problem, the Student’s-t mixture regression (SMR) is proposed to develop a robust soft sensor for multimode industrial processes. In the SMR, for each mixing component, the Student’s-t distribution is used instead of the Gaussian distribution to model secondary variables, and the functional relationship between secondary and primary variables is explicitly considered. Based on the model structure of the SMR, a computationally efficient parameter-learning algorithm is also developed for SMR. Results conducted on two cases including a numerical example and a real-life industrial process demonstrate the effectiveness and feasibility of the proposed approach.


Author(s):  
Piyush Sabharwall ◽  
Denis E. Clark ◽  
Ronald E. Mizia ◽  
Michael V. Glazoff ◽  
Michael G. McKellar

The goal of next generation reactors is to increase energy efficiency in the production of electricity and provide high-temperature heat for industrial processes. The efficient transfer of energy for industrial applications depends on the ability to incorporate effective heat exchangers between the nuclear heat transport system and the industrial process. The need for efficiency, compactness, and safety challenge the boundaries of existing heat exchanger technology. Various studies have been performed in attempts to update the secondary heat exchanger that is downstream of the primary heat exchanger, mostly because its performance is strongly tied to the ability to employ more efficient industrial processes. Modern compact heat exchangers can provide high compactness, a measure of the ratio of surface area-to-volume of a heat exchange. The microchannel heat exchanger studied here is a plate-type, robust heat exchanger that combines compactness, low pressure drop, high effectiveness, and the ability to operate with a very large pressure differential between hot and cold sides. The plates are etched and thereafter joined by diffusion welding, resulting in extremely strong all-metal heat exchanger cores. After bonding, any number of core blocks can be welded together to provide the required flow capacity. This study explores the microchannel heat exchanger and draws conclusions about diffusion welding/bonding for joining heat exchanger plates, with both experimental and computational modeling, along with existing challenges and gaps. Also, presented is a thermal design method for determining overall design specifications for a microchannel printed circuit heat exchanger for both supercritical (24 MPa) and subcritical (17 MPa) Rankine power cycles.


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