International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

The Industry 4.0 revolution has significantly influenced the control of non-linear Multiple Input Multiple Output (MIMO) systems, particularly through the application of artificial neural networks (ANNs). This paper explores current trends in the control of non-linear MIMO objects, emphasizing the role of ANNs in enhancing performance and efficiency. Key developments, methodologies, and case studies are reviewed to illustrate the impact of ANNs on non-linear MIMO control

The article presents the results of a study of the conditions for further improvement and development of high-tech agricultural production in Ukraine. The purpose of this study is to define conceptual approaches to the technical and technological modernization of the agro-industrial complex as a key element of sustainable development of the real sector of Ukraine’s economy and strategic directions of research in agricultural science. The study found that in the context of inevitable climate change, the basis for the formation of highly automated agriculture will be flexible environmentally friendly technological processes in agricultural production, built on fundamentally new technical and technological principles, namely: intellectualization, digitalization, integrated automation and robotization. A concept for the development of high-tech agricultural production in Ukraine based on the principles of sustainable development and the innovative concept of Industry 4.0 was also developed, which will ensure high and sustainable economic growth of the agro-industrial complex, development of domestic agricultural engineering and related sectors of the economy. The strategic tasks for agricultural science in the development of the technical and technological base of highly automated agricultural production are outlined. The study of modern trends in the development of economies of advanced countries and their effectiveness give grounds to assert that the identified strategic directions of technical and technological modernization of the agricultural sector will be the basis for the formation of an effective model for the development of high-tech agro-industrial climate-oriented production in Ukraine.

The future of industrial development brings to the fore the problem of searching for approaches and ways to quickly and totally apply the principles of 4/5 industrial revolutions. The difficulties in achieving this goal come from the fact that it is influenced by many and different factors. With this report, we aim to specify the global goal of industrial development and its particularities. The need for hybrid specialists and activities, their essence and their saturation with novelties. Duration and their importance in the stages of industrial revolutions. A proposal is made to specify the resources by grouping them into two groups, material and human, and to propose approaches and ways for their effective use. Special attention is paid to the preparation and qualification of hybrid specialists to implement this process.

In the 8th decade of the 20th century, a state program was implemented to automate the entire production in the spirit of scientific and technical progress. More than 160 types of systems for the automation of technological processes have been developed, including individual high-performance machines, industrial robots and manipulators, managed with the most advanced microprocessor technology for its time, subsequently implemented in pilot complex automated workshops and production areas in various economic sites of the country. Prioritizing the production of means of automation of technological processes intensifies machine-building, intellectualizes labor and increases its productivity. Gradually, with our forces and means, experience and a base for further design and implementation of flexible automated production systems in all branches of industry are created. The achieved technical and organizational experience guarantees the membership of Bulgaria in the Permanent Commission on Mechanical Engineering at the SIV and its coordinating role in agreements for multilateral specialization and scientific and technical cooperation in the field of industrial manipulators and robots.

As technology advances every day of our lives and generates vast amounts of data while different systems, sensors etc. are working, it is important to meet their needs and demands. Digitalization is one of the biggest driving forces for developing of databases – relational and non-relational – in every sphere that they are used, and especially the utilization of NoSQL dBs in areas that were once unthinkable. Financial services offered by different institutions usually relied on relational databases only, but with continuously changing technologies new ways for managing data emerged. This paper presents an automated tool for evaluation and selection of NoSQL databases intended for financial services based on predefined criteria.

Nowadays ensuring high-quality software product requires a lot of testing efforts. Automated tests in the 21st century are a must. Whether it’s code peer-review, unit, integration, system or exploratory user testing – it all has to be done with given insurance and expertise! Therefore, we look to automate our testing where is conceivable. Most applications today have the equivalent of Web and Mobile versions for the same functionality, but different platforms of action in order to facilitate the users. Therefore, parallel testing of both subtypes is required to provide smooth maintenance and rapidity. Running as many builds as possible, including tests to ensure quality is essential when comes up to reliable software product and agile development. With the implementation of Continuous Integration and Continuous Delivery tools, we guarantee a better way to deploy automated tests across multiple instances and execute them against those environments. BrowserStack is one common cloud solution to these requirements. It is a very powerful tool, which can be attached to our development process. This article explores detailed approach on the automation of cross-browser, device and compatibility testing in BrowserStack platform, using a custom extended automation framework to provide direct configuration output to this environment and give ease in the future Web and Mobile development.

This article discusses the features of automation of discrete manufacturing processes. The peculiarities of application of industrial robots are analyzed. Emethod proposed for the study of roll-over systems, which allows the choice of the optimal solution under specific conditions

All production processes in the world are implementing Industry 4.0 by using the basic technologies such as robotics & automation, intelligent sensors, 3D printers, radio frequency identification – RFID, cloud computing, Internet of Things and Internet of Services. Implementation of Industry 4.0 in all production processes is not possible without the use of both industrial and service robots, their development and implementation. In addition, there are other technologies on which the fourth industrial revolution is based that will provide us with intelligent devices, intelligent production processes, intelligent logistics in production processes, i.e. intelligent factories. The Cyber-Physical Systems (CPS) in the global environment provide machine networking in production processes and logistics systems. This paper provides an example of the use of service robots and their role in solving smart transport in production processes.

In the paper is described a new computerized test bench for strength testing of roll over protective structures (ROPS) in tractor cabs. The static test procedure complies with international labor safety standards accepted in the Republic of Belarus.

Over the last two decades, software testing has expanded in terms of both the tools used to perform different types of activities and mind-set of the people using those tools. Automated testing involves use of strategies and instruments that perform testing activities of a software product and where the interference of a person is mainly related to the research of the results of these activities. Automated testing processes are popular because of the benefits that make them an indispensable tool in everyday work for testing activities. The main advantage of automation is the abstraction of rehearsal processes within the tested system. In this way, a complete separation of the human operations from the system is achieved, as only the functionality that needs to be programmed. This article presents the development of an automation-based testing framework “Stassy” – System Stable Testing, which supports and helps to implement easily new tests related to Web platforms. The implementation includes the following structure: Object repository, Functional libraries, Global variables and Constants, Data Provider, Test scripts, Configuration files, Recovery scenarios, Loggers, Clean-up scripts and Reporting mechanism. With the advantages of Page Object Pattern and using of the following technologies: Java programming language, JUnit and TestNG extended libraries. The created scripts represent automated acceptance, functional and non-functional tests in which Page Object is used to separate those tests into individual fragments and subsequently call them in a different order according to the automation requirements and business logic. We will track the overall preparation and creation of “Stassy” automated framework and explain the benefits of such approach.

Prevention 4.0 as part of the enterprise’s safety culture is developing HSE management system to address new challenges in prevention. Industry 4.0 anticipates new linkages between technology, man, and management systems to apply the most efficient IT systems to ensure the flexibility of the production process so that its output is a product that takes into consideration customer requirements. These changes include the existence of new types of risk due to the change of the position of man from the classical production centers to the area of superstructure activities, programmer, setter, maintainer, security technician for the digitization of production processes. Risk identification is based on defining the hazards and threats of a complex manufacturing system in the context of Safety and Security – Sa&Se, their formulation so that characteristic parameters can be efficiently digitized within the manufacturing process.

Intelligent production is the future of industrial production. They are leading the way to a new industrial era and best define the concept of the Fourth Industrial Revolution. And getting real-time data on quality, resources and costs provides significant advantages over classical production systems. Intelligent production must be built on sustainable and service-oriented technological and business practices. They are characterized by flexibility, adaptability and self-learning, resilience to failures, and risk management. The high levels of automation, on the other hand, become a mandatory standard for them, which is possible thanks to the flexible network of production-based systems that automatically monitor the production processes. Flexible systems and models that are capable of responding in real time allow internal processes to be radically optimized. Production benefits are not limited to one-off production conditions, and the capabilities include optimization through a global network of adaptive and self-regulating manufacturing components belonging to more than one operator.