• BUSINESS & “INDUSTRY 4.0”

    Implementing Industry 4.0 solution with legacy informational systems

    Industry 4.0, Vol. 5 (2020), Issue 5, pg(s) 235-238

    This paper discusses a case of implementing Industry 4.0 solutions with existing legacy informational system in cement-producing factory. One of the main reasons the company wants to keep its existing ERP solution is because is too complex and cannot be ported to a contemporary computer architecture. The plant also needs to automate and modernize the process of loading their products, but the company management does not want to invest in modern computer servers and a new ERP system. That’s why they decided to implement a hybrid solution – a modern Industry 4.0 IoT devices with .NET client application using the existing legacy DEC Alpha as a server. Here, the required technologies used for developing that software solution are overviewed and all parts of the software solution are described. Finally, the benefits and effectiveness of such a hybrid software solution are shown.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    Possibilities of using Industrial Internet of Things (IIOT) in industrial communication.

    Industry 4.0, Vol. 5 (2020), Issue 5, pg(s) 206-209

    Future of modern communication technologies of smart modern production systems is moving to wireless form of data transfer between devices. Thanks to use of smart devices that communicate within the network, we are talking about of interconnection of separate devices – Internet of Things (IoT). In connection with the implementation of standards Industry 4.0 in the manufacturing process together with IoT implementation into production process a new term is created – Industrial Internet of Things (IIoT). However, the implementation of this form of wireless communication brings some problems, mainly in field of safety and stability of data transfers. This paper provides a brief overview of the current state of the use of IIOT in industrial communication and production management and describes relationships to concepts such as cyber-physical systems and Industry 4.0. Part of the article is a proposal of communication scheme suitable for the implementation on model of modular production system (MPS).

  • SOCIETY

    Development of remote-control smart home system

    Science. Business. Society., Vol. 5 (2020), Issue 3, pg(s) 112-115

    The Smart Homes come rapidly into our everyday lives bringing comfort, security, help and many other benefits. The development of Information and Communication Technology and the advances in the applications based on Internet of Things emerged the appearing of more and more Smart Home solutions. The Smart Home System should implement default or custom integrated functions and intelligent self-adaptive methodology, based on the analysis of the habits, requirements and preferences of its inhabitants.
    In this paper the authors consider the development of Android and Wi-Fi based remote control Smart Home System, which integrates the analysis of the survey of the everyday habits of the people. An analysis of habits of 64 surveyed people was made. The results can be taken into account during the process of defining the default integrated functions at the stage of designing a Smart Home. The presence, absence or approaching certain location by the people are included as elements of the Smart Home System.

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    INDUSTRY 4.0 AND THE DIGITAL TWIN FOR BUILDING INDUSTRY

    Industry 4.0, Vol. 5 (2020), Issue 1, pg(s) 29-32

    Technology and innovations have powered the evolution of Industry4.0, the fourth industrial revolution.
    State-of-the-art technologies such as the Internet of Things (IoT), cloud computing (CC), big data analytics (BDA), and artificial intelligence (AI) – all part of Industry4.0, have greatly stimulated the building industry. Digital Тwin is a significant enabler for Industry 4.0 initiatives. Within Industry 4.0, the amount of digital product information generated and collected over the entire lifecycle has been growing.
    Although digital twins have been around for several decades, the rapid rise of the internet of things (IoT) is that they have become more widely considered as a tool of the future. Digital twins are getting attention because they also integrate things like artificial intelligence (AI) and machine learning (ML) to bring data, algorithms, and context together
    A ―digital twin‖—or digital replica of a physical entity—can target building industry in several sub-areas:
    – Facility management
    – Product Lifecycle Management
    – Smart Buildings
    – Smart energy
    All these areas are one giant step further by creating a Digital Twin — a virtual representation of real-world buildings that can be viewed and scrutinized in minute detail. This research describes business cases and best practices in design of IoT Solutions for building industry, powered by Digital Twins. A reference architecture and prototypes which demonstrate application of Digital Twins in Smart are created as a result of this study .This research is technology agnostic, but prototypes of sample solutions are considered in the context of Microsoft Azure (Azure solutions, covering Azure Digital Twins Service and Azure IoT Stack.)

  • Environmental air quality monitoring system as a support for precision agriculture

    Science. Business. Society., Vol. 4 (2019), Issue 2, pg(s) 41-43

    In order to make better decisions in the precision agriculture the measurement of air pollution parameters such as PM10, NOx, SO2, CO, O3 and agriculture parameters such as air temperature, humidity, soil moisture and leaf wetness are of crucial importance. Making analysis using different AI technics based on these parameters can bring better yield and quality in the food production process. In this paper, we present our approach in building an environmental air quality monitoring system as a support for precision agriculture by using Arduino [5] open-source electronics platform.

  • Secure big data and IoT with implementation of blockchain

    Security & Future, Vol. 2 (2018), Issue 4, pg(s) 183-185

    BlockChain is a distributed database of records or public ledger of all time stamped transactions saved in all computers in one peer-to-peer network. It allows a secure and transparent transfer of digital goods including money and intellectual property. Bitcoin – a digital decentralized cryptocurrency, is the first application of BlockChain. The second application is an agreement called Smart contract that enables exchanging a value or assets between two owners based on a set of conditions included in the contract.

    In this paper, we analyze the possibilities for application of BlockChain in Big Data and IoT. Implementation of BlockChain in Big Data confirms that data is accurate and secure and sharing of data will become more simple. In industries like financial services, government and healthcare there is a need to combine BlockChain and Big Data because these industries have repositories full of important data. They must store and share these large amounts of data. Implementation of BlockChain technology provides security of data and ensures its integrity when shared. BlockChain technology is also seen as a way to secure the Internet of Things (IoT). Application of BlockChain in IoT enables IoT devices to participate in BlockChain transactions and invents new styles of digital interactions. This technology will provide a simple infrastructure for devices to directly and securely transfer data or money using Smart contract.

  • Space diversity – essential factor for the security of 5-th generation communications

    Security & Future, Vol. 2 (2018), Issue 2, pg(s) 72-75

    5-th generation mobile networks aim higher capacity than current 4G, allowing higher number of mobile broadband users per area unit, and allowing consumption of higher or unlimited data quantities in gigabyte per month and user. 5G research and development is extremely important for the security of the human society. 5 G will have applications not only in the army and the police, but in the public transport, video monitoring, Internet of Things (IoT) etc. aiming at lower cost, lower battery consumption and lower latency at GHz frequency bands (millimeter waves). The use of directional antennas and space diversity at these extremely high frequency bands will improve the secure work of such systems. SCP-RPSC (Spatial Correlation Processing – Random Phase Spread Coding) is an entirely new approach in the field of microwave antenna theory, developed by the author one decade before. Its applications in the future terrestrial, High Altitude Platform Systems and satellite 5 G communications is considered in the report. Block schemes and advantages of the proposals are given too.

  • DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”

    INDUSTRY 4.0: REQUIRED PERSONNEL COMPETENCES

    Industry 4.0, Vol. 3 (2018), Issue 3, pg(s) 130-133

    The rise of Industry 4.0 and of smart factories along with all enabling technologies such as cloud computing, Internet of Things, multi agent systems, cyber physical systems, artificial intelligence, etc. will transform current factory workers to knowledge workers. Hard work and routine tasks will be executed by machines or robots, while tasks requiring experience, intuition, creativity or decisions making based on uncertainty will still reside to humans. This constitutes a huge shift on the required competences. Further, this change is transforming manufacturing to a software intense business, where software development and operation is a core part of the manufacturing process, but as well as of the products being manufactured either as a standalone component or as a part of a larger product or service. The need is prominent, since we need urgently to study the knowledge and competences needed for manufacturing personnel of the near future. In this paper, we present an initial competence model where will outline the knowledge dimensions and skills needed for Industry 4.0. This model can be used to create training proposal individuals or for assessing the knowledge gaps existing in an enterprise. The identified skills are classified as technical, behavioral and contextual.

  • THEORETICAL FOUNDATIONS AND SPECIFICITY OF MATHEMATICAL MODELLING

    ABOUT THE PROBLEM OF DATA LOSSES IN REAL-TIME IOT BASED MONITORING SYSTEMS

    Mathematical Modeling, Vol. 1 (2017), Issue 3, pg(s) 121-122

    Fast growing market of IoT devices revealed a number of complex problems. Among these problems, there is a problem of data losses caused by data package losses or delays while its transition from sensor to server. As anticipated, there are a number of businesses relying on easy opportunity to build real-time monitoring systems using modern software and IoT hardware solutions. Although the growing reliability of contemporary communication networks one can find the problem of making decision about lost or delayed data packages. Current research is dedicated to building an algorithm for compensation of gaps in data series to support real-time monitoring systems with appropriate artificially generated values. Cases of applicability of the algorithm were also studied and discussed.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    BIG DATA AGGREGATION ALGORITHM FOR STORING OBSOLETE DATA

    Industry 4.0, Vol. 3 (2018), Issue 1, pg(s) 20-22

    Many contemporary IoT systems do produce a large scale of data. While a new portions of data come to data storage (database etc.) all the previously stored data become obsolete. Most of such obsolete data become excessive and can be needed only to see general trends or anomalies. This research offers an algorithm of data aggregation to minimize the amount of stored obsolete data according to defined business rules. Some modifications of algorithm are discussed to fit different kind of business requirements. There is also a comparison of two methods of data merge in algorithm, quantization and clustering, was made.

  • TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

    DEPENDENCE OF PUBLIC TRANSPORT ON CLOUD TECHNOLOGIES

    Industry 4.0, Vol. 3 (2018), Issue 1, pg(s) 23-26

    With the majority of the world’s population now living in cities, the importance of distributed transport systems integration is increasing. This requires improved integrated transport infrastructures and communication within cities to reduce the cost of congestion on the roads, provide an efficient and convenient system for travelers and improve the management and future planning of public transport within cities. By sharing large amounts of transport data with the public, including automatic passenger counting information, pollution and traffic congestion can be managed to better levels and subsequently lead to improved overall public transport services.

    The present paper aims at arguing the growing dependence of the efficient urban transport on the new technologies. The growing demand for cloud computing together with Internet of Things is based on the numerous advantages going along with this technology, provided that it is used appropriately. Cloud Computing is a revolution that will define Information Technology in the second decade of the 21st Century.