An approach to assessing the technical condition of elements and nodes of transport systems using neural network modeling methods and digital twin technology

2021 ◽  
Author(s):  
V.V. Belousov ◽  
O.V. Druzhinina ◽  
E.R. Korepanov ◽  
I.V. Makarenkova ◽  
V.V. Maksimova
Keyword(s):  
Neural Network ◽  
Intelligent Systems ◽  
Technical Condition ◽  
The State ◽  
Transport Infrastructure ◽  
Transport Systems ◽  
Neural Network Modeling ◽  
Technical Diagnostics ◽  
Digital Twin ◽  
Digital Twins

The development of intelligent methods and the development of tools for solving research problems of modeling and diagnosing the state of technical systems are relevant areas related to the introduction of digital technologies. Such problems include the problems of preparing correct data arrays for diagnosing and predicting the state of elements and nodes of transport systems. The purpose of the paper is to develop methods for preparing and analyzing data for modeling digital twins on the example of studying the temperature regime of the functioning of a railway car's axle box node, as well as choosing the architecture of neural networks for solving problems of assessing the technical condition of the axle box nodes. The features of the digital twin technology are characterized and the directions of its use for modeling and diagnostics of railway transport systems are considered. As part of the development of an approach to solving the problem of diagnosing the condition of the axle box units of railway cars, analytical dependences and generalized heat transfer equations related to changes in temperature regimes are considered. Examples of the presentation of such data on temperature series, which contain values for deviations from the normal functioning of the elements of the axle box node, are given. The choice of the neural network architecture adapted for solving the problems of estimating and predicting the temperature values of the axle box unit of the car was made. Options for preparing test data for a neural network model have been developed. The results can be used in the problems of creating algorithmic and software for preparing correct arrays of input data for technical diagnostics, in the problems of synthesis and analysis of models of intelligent systems, in various machine learning problems. The considered approach to modeling is aimed at developing methods for assessing and predicting the state of transport infrastructure elements and can be used in the development of intelligent transport systems and for improving the technology of digital twins.

RESEARCH OF WAYS TO DEVELOP ACCURATE DIGITAL MODELS FOR OBJECTS AND NODES OF TRANSPORT INFRASTRUCTURE

2021 ◽  
Vol 4 (30) ◽  
pp. 114-121
Author(s):  
N. N. Maiorov ◽  
◽  
A. A. Dobrovolskaya ◽  
V. E. Taratun ◽  
◽  
...  
Keyword(s):  
General Scheme ◽  
The State ◽  
Unmanned Aircraft ◽  
Transport Network ◽  
Transport Infrastructure ◽  
Digital Model ◽  
Transport Systems ◽  
Digital Models ◽  
Other Information ◽  
System Nodes

The article solves the problem of finding a solution for building a digital model of the transport network or transport infrastructure object. On the basis of the analysis, the limitation of available solutions is given and the limited state of implementation of digital models in new modernizations of transport systems is fixed. The paper provides a general scheme of using documentation of the state of the transport system, nodes and elements and considers examples based on real transport systems. The paper examines the basic requirements for digital transport models and proposes a solution based on the use of unmanned aircraft systems. A model of formation of flight task variants is proposed and, as a proof of relevance of the research, the results of a real experiment are given. The task of modernizing a segment of the transport network of the city, the identification of the state of the site on the basis of data from unmanned aircraft system is considered. The article presents a solution to the problem, which has a high quality of building a digital model and the possibility of integration into other information systems for monitoring the condition and forecasting of development.

scholarly journals Assessment of the current technical condition of electrical equipment based on an artificial neural network

2021 ◽  
Vol 2131 (5) ◽  
pp. 052049
Author(s):  
V Z Manusov ◽  
M R Otuzbaev ◽  
M A Scherbinina ◽  
G V Ivanov
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
High Efficiency ◽  
Power Transformer ◽  
Reliability And Validity ◽  
Electrical Equipment ◽  
Technical Condition ◽  
Computer Assisted ◽  
Technical Diagnostics ◽  
Artificial Neural

Abstract Assessment of the current technical condition is an important task, so the state of electrical equipment depends on its further operability. Thanks to modern computing devices, it is possible to implement actively artificial intelligence and computer-assisted learning methods that allow achieving high efficiency in data processing. A study was conducted and an algorithm for diagnosing the technical condition based on an artificial neural network was developed. A model based on a multilayer perceptron is proposed, which allows evaluating the technical condition of a high-voltage power transformer. The result of the technical diagnostics of the model is the assignment of the condition to one of the five classes, proposed by the guidelines presented by the International Council on Large Electrical Systems. The methodology is presented on the example of a 250 MVA transformer with a certain defect history, which allowed us to show the reliability and validity of the obtained results. It is shown that the use of the proposed model makes it possible to achieve accuracy in determining the technical condition of 0.95. The introduction of this model into an automated monitoring and diagnostics system will allow assessing the technical condition of electrical equipment in real time with sufficient accuracy.

scholarly journals Improvement of the traction current asymmetry control system

2021 ◽  
Vol 34 (06) ◽  
pp. 1819-1825
Author(s):  
Maksim V. Basharkin ◽  
Alevtina G. Isaycheva ◽  
Valery B. Teplyakov
Keyword(s):  
Control System ◽  
Mobile Device ◽  
Technical Condition ◽  
Transport Infrastructure ◽  
Technical Diagnostics ◽  
Degree Of Protection ◽  
Traction Current ◽  
Control Devices ◽  
Monitoring Center ◽  
High Degree

The article presents approaches that allow modernizing the system for monitoring the asymmetry of the traction current. The existing systems of technical diagnostics and monitoring of the technical condition of automation and telemetry control devices, which have found wide application on the railways of JSC Russian Railways, do not allow monitoring the condition of adjacent railway transport infrastructure systems that affect the performance of railway automation and telemetry control devices. Besides, information about the condition of the object being diagnosed is sent to the monitoring center, while the operational and repair personnel do not have the necessary information and start working only after receiving information about the malfunction from the dispatcher of the monitoring center. The mobile device, proposed in the article, allows reducing the time necessary for obtaining information about the unserviceable condition of the railroad line. The article presents the analysis of gadgets planned for use in a mobile device, and the concept of the interface of the mobile application for technicians. It is noted that the hardware intended for use in a mobile device must provide protection against unauthorized access to the application, as well as have a high degree of protection against penetration. Besides, the article identifies the areas for further improvement of the traction current asymmetry control system.

FORMING THE CONCEPT OF INFORMATION TECHNOLOGY MANAGEMENT OF THE CITIZENS ‘INTELLECTUAL TRANSPORTATION SYSTEM

2020 ◽  
pp. 12-19
Author(s):  
Georgyi Baranov ◽  
Tetyana Danylova
Keyword(s):  
Neural Network ◽  
Information Technology ◽  
Information Technologies ◽  
Urban Traffic ◽  
Transport Infrastructure ◽  
Information Support ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
The City

This article is devoted to the process of modeling dynamic systems of city intelligent transport systems (CITS) with the help of information technologies. The proposed means of fundamentally new integrated subsystems CITS, simultaneously covers arrays of heterogeneous data and use modern neural network technologies to provide information support for the management of transport systems. The safety of the ecological state as a result of the influence of urban traffic in the conditions of industrial centers was formalized for information technologies. Descriptions are executed as mathematical models of complex particles of objects of the city intellectual transport network with the use of heterogeneous fragments. Strategies and methods of systematic management are analyzed for solving complex problems of reducing the ecological load of the city. Ontological descriptions in basic model forms that are focused on ensuring the safety and ecology of urban applications to overcome contamination, risks and threats. This direction involves the creation of systems for automated management of transport infrastructure, which at the moment requires the solution of a range of scientific and technical tasks.The built-in neural network models of dependence will effectively solve planning problems with controlling influences on the infrastructure of urban intelligent transport systems, which will improve the characteristics of the traffic flow and reduce the environmental burden on the environment. The analysis of transport infrastructure and the activities of organizations that have a direct influence on it, has allowed us to propose a scheme for the use of heterogeneous information in the information support of the management of environmental safety and the throughput of the street-road network of urban intelligent transport systems. Keywords: information technology, transport system, situational management, risks, models of the situation.

scholarly journals How Digital Twin Concept Supports Internal Transport Systems?—Literature Review

Energies ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4919
Author(s):  
Monika Kosacka-Olejnik ◽  
Mariusz Kostrzewski ◽  
Magdalena Marczewska ◽  
Bogna Mrówczyńska ◽  
Paweł Pawlewski
Keyword(s):  
Material Flow ◽  
Material Handling ◽  
Research Area ◽  
Research Trends ◽  
Transport Systems ◽  
Future Research ◽  
Major Research ◽  
Digital Twin ◽  
Digital Twins ◽  
Internal Transport

In the Industry 4.0 era, the Digital Twin has become one of the most promising enabling technologies supporting material flow. Although the literature on the Digital Twin is becoming relatively well explored, including a certain number of review papers, the context of the Digital Twins application in internal transport systems has not been investigated so far. This paper thoroughly reviews the research on the Digital Twins applied in internal transport systems concerning major research trends within this research area and identification of future research directions. It provides clarification of various definitions related to the Digital Twin concept, including misconceptions such as a digital shadow, a digital model, and a digital mirror. Additionally, the relationships between terms such as material handling, material flow, and intralogistics in the context of internal transport systems coupled with the Digital Twin are explained. This paper’s contribution to the current state of the art of the Digital Twins is three-fold: (1) recognition of the most influential and high-impact journals, papers, and researchers; (2) identification of the major research trends related to the Digital Twins applications in internal transport systems, and (3) presentation of future research agendas in investigating Digital Twins applied for internal transport systems.

scholarly journals Digital Twins: State-of-the-Art and Future Directions for Modeling and Simulation in Engineering Dynamics Applications

2020 ◽  
Vol 6 (3) ◽  
Author(s):  
D. J. Wagg ◽  
K. Worden ◽  
R. J. Barthorpe ◽  
P. Gardner
Keyword(s):  
Asset Management ◽  
State Of The Art ◽  
Industrial Applications ◽  
Transport Systems ◽  
Synthesis Process ◽  
Small Scale ◽  
Mathematical Framework ◽  
Digital Twin ◽  
Digital Twins

Abstract This paper presents a review of the state of the art for digital twins in the application domain of engineering dynamics. The focus on applications in dynamics is because: (i) they offer some of the most challenging aspects of creating an effective digital twin, and (ii) they are relevant to important industrial applications such as energy generation and transport systems. The history of the digital twin is discussed first, along with a review of the associated literature; the process of synthesizing a digital twin is then considered, including definition of the aims and objectives of the digital twin. An example of the asset management phase for a wind turbine is included in order to demonstrate how the synthesis process might be applied in practice. In order to illustrate modeling issues arising in the construction of a digital twin, a detailed case study is presented, based on a physical twin, which is a small-scale three-story structure. This case study shows the progression toward a digital twin highlighting key processes including system identification, data-augmented modeling, and verification and validation. Finally, a discussion of some open research problems and technological challenges is given, including workflow, joints, uncertainty management, and the quantification of trust. In a companion paper, as part of this special issue, a mathematical framework for digital twin applications is developed, and together the authors believe this represents a firm framework for developing digital twin applications in the area of engineering dynamics.

scholarly journals The Fundamental Approach of the Digital Twin Application in Railway Turnouts with Innovative Monitoring of Weather Conditions

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5757
Author(s):  
Arkadiusz Kampczyk ◽  
Katarzyna Dybeł
Keyword(s):  
Weather Conditions ◽  
Fixed Time ◽  
Technical Condition ◽  
Transport Infrastructure ◽  
Atmospheric Conditions ◽  
Factors Affecting ◽  
Railway Traffic ◽  
Digital Twins ◽  
The Status ◽  
Innovative Solution

Improving railway safety depends heavily on the reliability of railway turnouts. The realization of effective, reliable and continuous observations for the spatial analysis and evaluation of the technical condition of railway turnouts is one of the factors affecting safety in railway traffic. The mode and scope of monitoring changes in geometric parameters of railway turnouts with associated indicators needs improvement. The application of digital twins to railway turnouts requires the inclusion of fundamental data indicating their condition along with innovative monitoring of weather conditions. This paper presents an innovative solution for monitoring the status of temperature and other atmospheric conditions. A UbiBot WS1 WIFI wireless temperature logger was used, with an external DS18B20 temperature sensor integrated into an S49 (49E1)-type rail as Tszyn WS1 WIFI. Measurements were made between January and May (winter/spring) at fixed time intervals and at the same measurement point. The aim of the research is to present elements of a fundamental approach of applying digital twins to railway turnouts requiring the consideration and demonstration of rail temperature conditions as a component in the data acquisition of railway turnout condition data and other constituent atmospheric conditions through an innovative solution. The research showed that the presented innovative solution is an effective support for the application of digital twins to railway turnouts and ongoing surveying and diagnostic work of other elements of rail transport infrastructure. The applicability of the TgCWRII second temperature difference indicator in the monitoring of railway turnouts was also confirmed.

Application of intelligent technologies for modeling of controlled switching systems

2021 ◽  
Author(s):  
D.Y. Openkin ◽  
S.V. Chernomordov
Keyword(s):  
Neural Network ◽  
Numerical Optimization ◽  
Pid Controller ◽  
Optimization Methods ◽  
Practical Significance ◽  
Transport Systems ◽  
Neural Network Modeling ◽  
Switching Systems ◽  
Controlled Switching ◽  
Algorithmic Software

The development of instrumental and methodological support for modeling nonlinear control systems with switching is an urgent problem. Various modifications of numerical optimization methods and artificial intelligence technologies are used to solve this problem. The purpose of this article is to develop algorithmic software for modeling controlled switching systems based on the use of intelligent technologies and numerical optimization methods. Algorithmic software for the synthesis of feedback controls using a PID controller is developed. Intelligent technologies for modeling controlled switching systems are characterized. An algorithm using global parametric optimization methods is proposed for tuning the PID controller. Models of nonlinear dynamic switching systems are studied. An algorithm for finding optimal trajectories based on neural network automata is proposed. The basis for further research is developed, in which it is planned to create a software implementation of the switching algorithm and the neural network algorithm. The practical significance of the results is that the developed algorithmic software will allow analyzing the influence of various parameters on the quality and speed of functioning of intelligent control switching systems. The obtained results can be used in various problems of modeling and global optimization of controlled systems: technical systems with switching modes of operation, transport systems, as well as in problems of neural network modeling and machine learning.

scholarly journals Methods of creating and using a digital twin of a mobile transport and transshipment rope complex

2020 ◽  
Vol 20 (3) ◽  
pp. 243-251
Author(s):  
I. A. Lagerev ◽  
V. I. Tarichko ◽  
A. V. Panfilov
Keyword(s):  
Large Scale ◽  
Load Capacity ◽  
Video Stream ◽  
Transport Systems ◽  
Work Processes ◽  
Digital Twin ◽  
Digital Twins ◽  
Ongoing Work ◽  
The Creation ◽  
High Load Capacity

Introduction. The paper considers the creation and application of digital twins at various stages of the life cycle of mobile transport and transshipment rope complexes (mobile ropeways), the equipment of which is mounted on the basis of wheeled or tracked chassis of high load capacity. The work objective is to improve safety in using such transport systems based on real-time forecasting of potential failures. This will prevent the occurrence of emergencies in a timely manner. Materials and Methods. The structure of the digital twin of the mobile transport and transshipment rope complex is proposed. Approaches to the analysis of ongoing work processes in order to prevent accidents have been developed. They are based on simulation modeling of the system dynamics using new complex mathematical models built through the system approach. Results. The developed method was tested on a large-scale layout of a mobile transport and transshipment rope complex created by 3D printing methods. A mathematical model of this system was developed; it was used to construct a digital double of the experimental model. The possibility of predicting failures in the layout is shown experimentally through the example of a rope slipping case. To do this, the actual value of the load suspension point coordinate obtained through the video stream processing method was compared to the predicted value calculated using a digital twin.Discussion and Conclusions. The research results provide the creation of an industrial digital twin of a mobile transport and transshipment rope complex mounted on cross-country wheeled chassis.

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