#1 2021

CONTENTS №1

Aristova N.I.  On the self-isolation era and the prospect

Discussing a Topic…

Digital twins in industry

Dozortsev V.M.  Digital twins in industry: genesis, structure, terminology, technologies, platforms, outlook. Part 3 – Applied platforms, application cases, development outlook and challenges.

The third part of the paper addresses the practical aspects digital twin (DT) development for industrial applications. It describes applied platforms implementing the key elements of cyber-physical systems: Industrial Internet of Things, big data analysis, communication and computational infrastructure, as well as the DT themselves. Numerous application cases from various industries are included, the current state and trends of the global and Russian DT markets are outlined. Finally, the paper discusses the socio-technical challenges of the increasing DT dissemination and the roles of the participants of the current revolutionary phase of economy transformation: industry, science, governmental and financial institutions, society.

Keywords: digital twins, cyber-physical systems, applied platforms, big data, data analysis, machine learning, artificial intelligence, Industrial Internet of Things (IIoT), digital twin market.

Pysin M.D., Zubov D.V., Filippova E.B., Shushpanov V.S., Koltsova E.M., Krasheninnikov R.S., Lobanov A.V.  Designing a distributed data communication system for a digital twin

The paper examines the process of digital twin development for processing plants and argues for the importance of selecting the architecture of data communication ecosystem in the digital twin system. Microservice approach is offered for this purpose, the recommendations are made on the data communication ecosystem design. The architecture proposed can be used at real-life plants by integrating the data from various sources.

Keywords: digital twin, microservice architecture, data exchange ecosystem.

Serebryansky S.D., Strelets D.Yu., Shkurin M.V.  Digital twin in a unified lifecycle information space as a tool for improving the competitiveness of airspace products

The paper discusses the idea of unified information space, examines the concept of product’s digital twin, describes the approaches to its development, and shows the advantages of using such technology for creating state-of-the-art airspace products.

Keywords: lifecycle of an article, unified information space, digital twin, aircraft, structured information array, mathematical model, system model.

Nepsha F.S., Andrievsky A.A., Krasilnikov M.I.  Ontology as a development framework for digital twins of control plants in intelligent distributed power generation

The ontology is considered as a framework for developing information models within digital twins of control plants in intelligent distributed power generation. The paper offers an information model structure of such plant. It shows the drawbacks of a standard Common Information Model (CIM) as a framework for digital twin development and justifies ontology creation on the CIM basis with the integration of other subject area ontologies. The methodology of ontological model development for intelligent distributed power engineering is described. A scenario of ontology update, which ensures its maintenance in the form meeting the requirements of all digital platform stakeholders, is offered.

Keywords: digital twin, distributed power generation, common information model, digital platform.

Zakharov N.A.  Blockchain and Industry 4.0

Application of blockchain for supporting Industry 4.0 is discussed, its relevance for documentation update and the protection against unauthorized changes is shown. Blockchain application in digital twin development and maintenance and in the additive manufacturing is outlined. The technology can be also used in logistics, in particular, in rail transport as well as in IIoT application marketplace.

Keywords: Industry 4.0, blockchain, Industrial Internet of Things, digital twin, additive manufacturing, logistics, marketplace.

Nasyrov I.N., Nasyrov I.I., Nasyrov R.I.  A model for HDD multiparametric assessment by failure risk

The paper presents a matrix of hard magnetic disks distribution dependent on SMART parameter values with cell ranges boundaries according to the established reliability criteria. The parameters which values growth increases the probability of disk drives failure are considered. The research objective is to develop a model for matrix multiparametric assessment of data storage devices failure risk of various manufacturers. The drives of HGST, Hitachi, Samsung, ST, Toshiba, and WDC brands used in the largest commercial data center of Backblaze were analyzed. As a result of the analysis, reliability criteria are proposed for the following most important parameters in this regard: 5 Reallocated sectors count, 196 Reallocation event count, 197 Current pending sector count, 1 Read error rate, 9 Power-on hours, 7 Seek error rate, 3 Spin-up time, 10 Spin-up retry count. It is taken into account that the very existence of considered parameters values depends on hard drives manufacturer. The matrix model enabled the detection the peripheral regions of parameter values were detected where none of the failed drives fall.

Keywords: hard disk drive, storage, information, failure, parameter, modeling.

Egorov Yu.G., Mkrtchian V.I.  The search of state noise covariation in the task of inertial course navigator’s error estimation

The paper discusses the method of automatic search of state noise covariation matrix in the task of inertial course navigator’s error estimation with the help of Kalman filter. The search is based on the minimization of the selected error optimality criterion. The search algorithm is synthesized, and the detailed description of its practical realization is offered. The differences between the projections of inertial navigator’s ground speed and the satellite navigator’s signals are used as the algorithm inputs. The results of the algorithm test on synthetic data are included.

Keywords: inertial system, Kalman filter, satellite navigator, optimal estimation.

Golev A.V.  Neural network-based system for woodland change analysis

The paper presents the system for analyzing Earth woodland changes during a certain period of time based on satellite imagery using convolutional neural networks and deep learning techniques. The system was tested on satellite images of a part of Russia in various time periods and has demonstrated 85% recognition accuracy for this data.

Keywords: neural networks, satellite imagery, woodland, images, deep learning.

Karmachev D.P.  Field data mining in field pipeline life prediction

The paper presents the results of the research aimed at the development of an expert system for selecting the material and internal corrosion protection of field pipelines based on pipeline failure data mining. Basic information about the initial sample and the exploration analysis undertaken is provided. The development and assessment of regressors by various algorithms is described.

Keywords: field pipeline failures, failure prediction, data mining, random forest, gradient boosting, regression models.

Tynchenko V.S., Kurashkin S.O., Golovenok I.A.  Automated predicting system for process parameters of electron-beam welding

The paper describes the development of a decision-making support system for electron-beam welding process based machine learning models. The approach proposed is implemented in an automated system the efficiency whereof was analyzed while tuning the parameters of electron-beam welding process of thin-walled VT14 titanium wrought alloy structures.

Keywords: electron-beam welding, process, workstation, decision-making support, regression, machine learning.

Saidulin E.G., Shatokhin V.A., Rukin M.V.  IR thermal imaging as a tool for extra early detection of equipment fire or overheating

A domestic device enabling round-the-clock automatic monitoring of equipment overheating is presented without human intervention is described. Its performance data, featured properties and application areas are discussed.

Keywords: IR heat release, overheating control, extra early fire detection.

VSAT based video surveillance system for enterprises and remote sites.