, проф., д.т.н., А.О. Окунь, асист., Національний технічний університет «Харківський політехнічний інститут» Анотація. Стаття присвячена удосконаленню математичної моделі руху системи «візоквантаж» у задачі керування кабельним краном. Отримані рівняння руху можуть бути використані для побудови фазових траєкторій системи «візок-вантаж» та для знаходження керування кабельним краном. Ключові слова: кабельний кран, система «візок-вантаж», керування, демпфірування коливань, підйомно-транспортні машини. УСОВЕРШЕНСТВОВАНИЕ МАТЕМАТИЧЕСКОЙ МОДЕЛИ ДВИЖЕНИЯ ДЛЯ ЗАДАЧИ УПРАВЛЕНИЯ ПОДЪЁМНО-ТРАНСПОРТНЫМИ МАШИНАМИ О.В. Григоров, проф. д.т.н., А.А. Окунь, ассист., Национальный технический университет «Харьковский политехнический институт» Аннотация. Статья посвящена усовершенствованию математической модели движения системы «тележка-груз» в задаче управления кабельным краном. Полученные уравнения движения могут быть использованы для построения фазовых траекторий системы «тележка-груз» и для нахождения управления кабельным краном.

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One of the elements limiting the crane life cycle and affecting the safety of its operation is a metal structure. Currently, there is no single scientifically-based approach to assess the operational integrity of crane metal structures. The paper deals with issues related to the development of an integrated approach to determine the operational integrity of crane metal structures, based on a combination of numerical methods of calculation (the finite element method and boundary states calculation) and magnetic coercive non-destructive control. The research of the influence of the metal chemical composition, its microstructure and the controlled elements thickness on coercive force values have been carried out. In order to take into account these parameters, it is suggested to use certificated experimental samples with variable cross sections. The practical value of the research is to apply the integrated approach that will eliminate the disadvantages of a separate method, complement these methods, increase the objectivity and accuracy of determining the operational integrity of crane metal structures.

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The article deals with the main features of Big Data, the area of their application, the connection with machine learning. It is described that a self-studying program receives an arbitrary set of data units that conform to a certain pattern and after studying this set, the program is a model of this pattern, that is, a set of criteria by which the algorithm can determine whether a specific unit of data is the desired pattern or not. In the future, applying this model to a new and random data set, the program can find in it the units of data in which the pattern is executed. Professional tools for working with Big Data, such as software products and distributed computing (cloud computing) are considered. The means for working with Big Data, examples of targeted advertising based on their analysis are described. The effectiveness of targeted advertising application based on the use of analysis of character traits using the most popular personality model "Big Five" known also as OCEAN (openness to experience, conscientiousness, extraversion, agreeableness, neuroticism), surface characteristics and human way of life are estimated. The effectiveness of personalized advertising on the basis of the results of psychometric analysis using Big Data on an example of an election campaign is investigated. It is shown how the electorate's research was conducted, through simulation, division into different segments, with each of them being actively interacted with ethereal and targeted television advertising, as well as through advertising on the Internet. An estimation of perspectives and difficulties of using Big Data principles on the basis of application examples in various transport systems, resource savings, logistic complexes and systems, elevator building and medical industry.