The purpose of the software development presented in the article is to obtain detailed information about the surface of the walls in wells necessary for more efficient and safe drilling and casing of the wellbore. The developed software of the automated system “LogPWin” allows obtaining a clear idea of the mine itself, as well as reducing the time spent on processing and analyzing the model obtained during the logging process. A software product developed as a result of the work provides visualization of data coming from an acoustic profiler, giving a visual and informative idea of the object of study. The program gives detailed information about the surface of the mine’s walls through 3D modeling. It possesses the possibility of rotating and scaling the object; there is also a color palette that can be changed depending on the incoming data. The program can be applied in the oil and gas industry and mining, as well as when drilling wells for other purposes. The program interface is quite clear and simple. The structure of the program is made in such a way that it allows obtaining data for building an object not only in real time, but also through interaction with a ready-made .txt file.
Today complications during drilling and operation of oil and gas wells are unavoidable. Most of them are the result of violation of technological discipline (technology), some are due to insufficient knowledge of geological and physical conditions (especially in exploratory drilling), a lack of understanding of the causes of the phenomena preceding the complication. Sometimes performers in performing complex technological operations go to the so-called “justified” risk, as a result of which complications and accidents occur. It should be taken into account that the failure of the well even for a short time - the loss of oil and gas production. Therefore, the development of modern methods for their detection, prevention (prevention) and methods to combat their consequences is an urgent task.
The development of the social management component of the Fourth Industrial Revolution (the use of a neural network and artificial intelligence for decision-making, Big Data analysis for planning and forecasting) should receive a new impetus with the advent of Industry 5.0 from the late 2020s. The very human-centric concept of the Fifth Industrial Revolution involves the development of environmentally and socially responsible investment in mining enterprises, the transition to which is possible based on full digitalization and artificial intellectualization of business process management and design. The research hypothesis turns out to be that the development of the mining sectors of the economy based on Industry 5.0 technologies
Visualization of objects using computer programs can greatly facilitate the external presentation of projects of coal industry enterprises. Modern computer graphics make it possible to embody very realistic models, and since the creation of 3D objects takes less time than their implementation. 3D technologies allow you to present the model from all angles and eliminate the shortcomings identified in the process of its creation. Successfully implemented tasks in this work include: creation of a 3D model of the selected RoadHeader; importing the developed model into the Unity 3D game engine; create and customize animations for the above harvester model inside Unity. The 3D model created in this work for visual display of the equipment used in the development of coal deposits in the mining industry contributes to the improvement of the process of training specialists and work planning when training personnel to work with drilling equipment at the training stage. The presented development can serve as a visual representation in the study of the principles of mining machines, as well as in the creation of 3D objects and scenes for the tutorial “Virtual mine”.
Ключевые слова: Индустрия 4.0, киберфизические системы, интеллектуальное производство, искусственный интеллект, машинный интеллект Аннотация.Ультрасовременная концепция развития промышленности основана на технологиях Индустрии 4.0, ядром которых являются киберфизические системы, основанные на искусственном (машинном) интеллекте, «умной» роботизации, безлюдных интеллектуальных производственных системах. Их эволюция происходит от цифровых «замкнутых» производственных систем к сетевым, и с каждым новым поколением киберфизические системы становятся все более автономными за счет развития машинного самообучения, распространяющегося на всю цепочку промышленного производства. Переосмысление роли людей в переходе к четвертому поколению киберфизических систем в интеллектуальном производстве развивает интеллектуальные способности людей, позволяя им концентрироваться на инженерном творчестве. Поэтому предметом исследования стали те формы, которые принимает соединение человека и киберфизических систем, новые возможности роста производительности и конкурентоспособности, а также связанные с этим риски. Гипотеза исследования заключается в возможности перехода к четвертому поколению киберфизических систем в процессе технологического перехода -от индивидуальных до сетевых отраслевых систем интеллектуального производства, -что означает новый принцип структуроформирования в экономике. В статье рассмотрена эволюция киберфизических систем интеллектуального производства, выделены преимущества и риски их внедрения в современной промышленности.
Currently, the gamification of virtual reality for training miners, especially for emergencies, and designing the extraction of minerals in difficult technological conditions has been embodied in the Virtual Mine software and hardware. From a software development point of view, Virtual Mine is indistinguishable from other virtual reality games, and this offers a chance to use the potential of rapidly developing game software in mining, including engines, 3D modeling tools, audio editors, etc., to solve a wide range of game development tasks. The chosen direction will optimize the work of developers by providing a tool for developing game artificial intelligence to solve problems that require implementing the behavior of game agents without using a rigidly defined choice of scenarios or chains of these scenarios. The aim of the work is to expand the possibilities of working with game artificial intelligence on the Unreal Engine game engine to make it more functional. As a result, a tool has been obtained that can be used to optimize the time and improve the quality of the development of game artificial intelligence for Virtual Mine using flexible development approaches. The asset editor was developed, application modes and their working tabs were defined, and a graphical node system for the behavioral graph editor was created. A system for executing a behavioral graph is given; algorithms for its operation and features for executing nodes of a behavioral graph are presented.
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