Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

4-9

Authors: Johanna Ender, Jan Cetric Wagner, Georg Kunert, Fang Bin Guo, Roland Larek, Thorsten Pawletta

For some time, the focus of past research on industrial workplace designs has been the optimization of processes from the technological point of view. Since human workers have to work within this environment the design process must regard Human Factor needs. The operators are under additional stress due to the range of high dynamic processes and due to the integration of robots and autonomous operating machines. There have been few studies on how Human Factors influence the design of workplaces for Human-Robot Collaboration (HRC). Furthermore, a comprehensive, systematic and human-centred design solution for industrial workplaces particularly considering Human Factor needs within HRC is widely uncertain and a specific application with reference to production workplaces is missing. The research findings described in this paper aim the optimization of workplaces for manual production and maintenance processes with respect to the workers within HRC. In order to increase the acceptance of integration of human-robot teams, the concept of the Assisting-Industrial-Workplace-System (AIWS) was developed. As a flexible hybrid cell for HRC integrated into a Self-Adapting-Production-Planning-System (SAPPS) assists the worker while interaction.

14-17

Authors: Piotr Wójcicki, Tomasz Zientarski

The article proposes a method of controlling the movement of a group of robots with a model used to describe the interatomic interactions. Molecular dynamics simulations were carried out in a system consisting of a moving groups of robots and fixed obstacles. Both the obstacles and the group of robots consisted of uniform spherical objects. Interactions between the objects are described using the Lennard-Jones potential. During the simulation, an ordered group of robots was released at a constant initial velocity towards the obstacles. The objects’ mutual behaviour was modelled only by changing the value of the interaction strength of the potential. The computer simulations showed that it is possible to find the optimal value of the potential impact parameters that enable the implementation of the assumed robotic behaviour scenarios. Three possible variants of behaviour were obtained: stopping, dispersing and avoiding an obstacle by a group of robots.

22-25

Authors: Konrad Gauda, Kamil Pasierbiewicz

The article concerns the evaluation of the possibility of using the optical profilometry method in the analysis of the destruction process of acrylic coatings exposed at a climate station in an industrial-urban atmosphere. It was found that the observed changes do not allow to clearly assess the durability of the tested coatings. It seems that the method used may play a supporting role in assessing the quality of the coatings because the surface maps show the number and size of pores in the coating. Therefore, this method can be used, for example, to help determine the optimal parameters of the coating process (e.g. spray pressure).

30-33

Authors: Barbara Tomaszewska-Wach, Mariusz R. Rząsa, Marcin Majer

The differential pressure of gas measurement is very often used in industrial measurements. During the gas flow, liquid condensation often occurs. The result is that when measuring a gas flow, the gas-liquid mixture is essentially measured. Errors in the indications of measuring instruments are starting to appear due to a change in the properties of the continuous phase, which is gas. In addition, the appearance of liquid droplets leads to flow disturbances and pressure pulsations. Therefore, new methods and tools for measuring the flow of gas-liquid mixture are being sought. The work involves the use of slotted orifices for measuring gas-liquid mixtures. An analysis of the influence of the slotted orifice geometry on the measurement of the biphasic mixture stream was carried out. Standard orifice and three slotted orifices of various designs. The experiment included measuring the air flow with a small amount of water dispersed in the form of drops.

38-42

Authors: Adam Ryszard Zywica, Marcin Ziolkowski

Magnetoacoustic Tomography with Magnetic Induction (MAT-MI) is a new hybrid imaging modality especially dedicated for non-invasive electrical conductivity imaging of low-conductivity objects such as e.g. biological tissues. The purpose of the present paper is to determine the optimal scanning step assuring the best quality of image reconstruction. In order to resolve this problem a special image reconstruction quality indicator based on binarization has been applied. Taking into account different numbers of measuring points and various image processing algorithms, the conditions allowing successful image reconstruction have been provided in the paper. Finally, the image reconstruction examples for objects’ complex shapes have been analyzed.

48-51

Authors: Tomasz Rymarczyk, Krzysztof Polakowski, Jan Sikora

In this paper a new version of discretization model for Ultrasonic Transmission Tomography is presented. The algorithm has been extensively tested for synthetic noisy data on various configurations of internal objects. In order to improve the imaging quality, the pixels/voxels have been enlarged compared to the figures inscribed in pixels/voxels however no more than figures described on the standard square pixels or cubic voxels. The proposed algorithm provides better quality of imaging.

60-63

Authors: Oleg Avrunin, Yana Nosova, Ibrahim Younouss Abdelhamid, Oleksandr Gryshkov, Birgit Glasmacher

The project "Implementation of rapid prototyping for modelling the upper respiratory tract in normal and typical pathologies" investigates the urgent problem of improving the reliability of diagnosis and effectiveness of treatment of disorders of the nasal breathing. Possibilities of modern 3D-printing technology for creation of individual natural anatomical models of the upper respiratory tract and determination of their aerodynamic characteristics are considered. The characteristics of the laminar boundary layer of the air flow in the parietal region of the nasal cavity are investigated under different modes of breathing in normal and with typical disorders of the nasal breathing. The concept of investigation of the aerodynamic indices of the anatomical structures of the respiratory system by the results of test tests of individual full-scale 3D models, obtained by the data of spiral computed tomography, is being developed. Theoretical bases of the method of computer planning of restorative rhinosurgical interventions in patients with chronic diseases of the nasal cavity are grounded, based on the change of the configuration of the anatomical structures of the nasal cavity taking into account the aerodynamic parameters of respiration. Modern distance learning and testing tools are being created to demonstrate the technology developed, to provide theoretical knowledge, practical skills and to solve situational tasks for a wide range of specialists. Development and research of natural patterns of the upper respiratory tract allows for supplementing and expanding the knowledge about the aerodynamic characteristics of the nasal cavity, to make decisions about therapy in a short period of time. Experience of the Laboratory of the Institute for Multiphase Processes (IMP) of the Leibniz Universität Hannover (LUH) in the development and use of rapid prototyping capabilities in biotechnology will provide technical support to the project.

69-73

Authors: Viktor Kifer, Natalia Zagorodna, Olena Hevko

In this paper, we present our research which confirms the suitability of the convolutional neural network usage for the classification of single-lead ECG recordings. The proposed method was designed for classifying normal sinus rhythm, atrial fibrillation (AF), non-AF related other abnormal heart rhythms and noisy signals. The method combines manually selected features with the features learned by the deep neural network. The Physionet Challenge 2017 dataset of over 8500 ECG recordings was used for the model training and validation. The trained model reaches an average F1-score 0.71 in classifying normal sinus rhythm, AF and other rhythms respectively.

78-82

Authors: Andrzej Nowrot, Monika Mikołajczyk, Anna Manowska, Joachim Pielot, Antoni Wojaczek

This work presents the prototype of the solar - thermoelectric device, which can float on water surface. It produces electrical energy as a result of the Seebeck effect in a commercial, low-cost Peltier module. The main application of the device will be an autonomous and a floating measurement platform. An important advantage of the presented solution is the possibility to work alike at day, when a solar light heats the surface of the absorber, and at night, when the different of temperatures between air and water causes the heat flux and in an effect the electricity. The device is capable of working for many cloudy days and also in winter on very short days. The presented device is based on low-cost and widely available components.

87-92

Authors: Arkadiusz Małek

The article contains a description of innovative systems for measuring the energy produced by the photovoltaic system and consumed by the building. The photovoltaic system consists of two micro-installations supplying two sectors of the Lublin Science and Technology Park. An internet platform for monitoring photovoltaic plant operation was presented. The power generated and the amount of electricity produced were assessed. Then, an innovative system for monitoring, analyzing the consumption and production as well as the efficient use of electricity in individual parts of the building was described.