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用于联合仿真应用的信息物理感知接口

Cyber-Physical Perception Interface for Co-Simulation Applications.

作者信息

Mîndra Teodora, Anghel Ana Magdalena

机构信息

Faculty of Automatic Control and Computers, National University of Science and Technology POLITEHNICA Bucharest, 313 Splaiul Independentei, 060042 Bucharest, Romania.

出版信息

Sensors (Basel). 2024 Oct 3;24(19):6412. doi: 10.3390/s24196412.

DOI:10.3390/s24196412
PMID:39409452
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11479255/
Abstract

Co-simulation can bring improvements to the development of cyber-physical perceptive systems (CPPS) in critical fields, allowing uninterrupted system operation and flexibility to use both real-time sensor data and non-real-time data. This paper proposes a co-simulation approach that integrates physical systems and communication systems, including both hardware and software components. This study demonstrates how systems of different natures with discrete or continuous events can be simulated using three methods: time stepped, global event driven, and variable stepped. Through two case studies from the medical and energy fields, CPPS and co-simulation reveal their importance for the future by improving precision and efficiency, which leads to more accurate diagnoses and personalized treatments in the medical field and increases the stability of energy networks.

摘要

联合仿真可以为关键领域的信息物理感知系统(CPPS)的开发带来改进,允许系统不间断运行,并灵活使用实时传感器数据和非实时数据。本文提出了一种整合物理系统和通信系统的联合仿真方法,其中包括硬件和软件组件。本研究展示了如何使用三种方法对具有离散或连续事件的不同性质的系统进行仿真:时间步长法、全局事件驱动法和可变步长法。通过医学和能源领域的两个案例研究,信息物理感知系统和联合仿真通过提高精度和效率展现了它们对未来的重要性,这在医学领域带来了更准确的诊断和个性化治疗,并提高了能源网络的稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/8d0a4c285149/sensors-24-06412-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/8c4550662f1f/sensors-24-06412-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/92a840f8e3c3/sensors-24-06412-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/1ab42f1ed237/sensors-24-06412-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/94480232d660/sensors-24-06412-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/e0c5a4360a2a/sensors-24-06412-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/65065867cfa5/sensors-24-06412-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/12fafd0bb82a/sensors-24-06412-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/8d0a4c285149/sensors-24-06412-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/8c4550662f1f/sensors-24-06412-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/92a840f8e3c3/sensors-24-06412-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/1ab42f1ed237/sensors-24-06412-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/94480232d660/sensors-24-06412-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/e0c5a4360a2a/sensors-24-06412-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/65065867cfa5/sensors-24-06412-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/12fafd0bb82a/sensors-24-06412-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3088/11479255/8d0a4c285149/sensors-24-06412-g008.jpg

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iPhantom: A Framework for Automated Creation of Individualized Computational Phantoms and Its Application to CT Organ Dosimetry.
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Medical cyber-physical systems: A survey.医疗 cyber-physical 系统:调查。
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