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基于无人机和物联网的数字孪生技术在工业设施监测中的系统：方法、可靠性模型及应用。

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

机构信息

School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.

School of Computer Science, Hubei University of Technology, Wuhan 430068, China.

出版信息

Sensors (Basel). 2022 Aug 26;22(17):6444. doi: 10.3390/s22176444.

DOI:10.3390/s22176444
PMID:36080903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9459757/
Abstract

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.

摘要

本文提出了一种基于应用无人机（UAV）、物联网（IoT）和数字孪生（DT）技术构建工业设施及其相邻区域的双模态监测系统（SM）的方法（概念和原则），并提出了一种考虑信道和组件参数的 SM 可靠性模型集。提出了构建可靠且有弹性的 SM 的概念。为此，开发了一种从不可靠组件合成可靠系统的冯·诺依曼范式。对于工业设施的复杂 SM，该概念涵盖了以决策支持系统的 DT 形式为基本组件（传感器、通信手段、处理和呈现）应用各种类型的冗余（结构、版本、时间和空间）。研究结果包括：基于 UAV、IoT 和 DT 的 SM 在工业设施中作为多级系统的构建方法和通用结构; 考虑应用技术和操作模式（正常和紧急）的 SM 可靠性模型; 以及制造和核电站的 SM 工业案例。所获得的结果是进一步发展理论的基础，也是在实施和改进工业 4.0 原则的框架内将 SM 实际应用于工业设施的基础。

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