UAV and IoT-Based Systems for the Monitoring of Industrial Facilities Using Digital Twins: Methodology, Reliability Models, and Application

This paper suggests a methodology (conception and principles) for building two-mode monitoring systems (SMs) for industrial facilities and their adjacent territories based on the application of unmanned aerial vehicle (UAV), Internet of Things (IoT), and digital twin (DT) technologies, and a set of...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Vol. 22; no. 17; p. 6444
Main Authors: Sun, Yun, Fesenko, Herman, Kharchenko, Vyacheslav, Zhong, Luo, Kliushnikov, Ihor, Illiashenko, Oleg, Morozova, Olga, Sachenko, Anatoliy
Format: Journal Article
Language:English
Published: Basel MDPI AG 26.08.2022
MDPI
Subjects:
Artificial intelligence
Big Data
control room
Data analysis
Decision making
digital twin
Digital twins
Drone aircraft
Electronic surveillance
Emerging markets
Environmental monitoring
Evaluation
Internet of Things
Manufacturing
Methods
monitoring system
Monitoring systems
multi-state system
Optimization techniques
Production planning
reliability
Reliability (Engineering)
Software
Task analysis
Technology
Technology application
unmanned aerial vehicle
Unmanned aerial vehicles
China
ISSN:1424-8220, 1424-8220
Online Access:Get full text
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Summary:This paper suggests a methodology (conception and principles) for building two-mode monitoring systems (SMs) for industrial facilities and their adjacent territories based on the application of unmanned aerial vehicle (UAV), Internet of Things (IoT), and digital twin (DT) technologies, and a set of SM reliability models considering the parameters of the channels and components. The concept of building a reliable and resilient SM is proposed. For this purpose, the von Neumann paradigm for the synthesis of reliable systems from unreliable components is developed. For complex SMs of industrial facilities, the concept covers the application of various types of redundancy (structural, version, time, and space) for basic components—sensors, means of communication, processing, and presentation—in the form of DTs for decision support systems. The research results include: the methodology for the building and general structures of UAV-, IoT-, and DT-based SMs in industrial facilities as multi-level systems; reliability models for SMs considering the applied technologies and operation modes (normal and emergency); and industrial cases of SMs for manufacture and nuclear power plants. The results obtained are the basis for further development of the theory and for practical applications of SMs in industrial facilities within the framework of the implementation and improvement of Industry 4.0 principles.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s22176444