Digital Twin-Based Assessment Framework For Monitoring Visual Comfort

被引:1
|
作者
Bonomolo, Marina [1 ]
Testasecca, Tancredi [1 ]
Buscemi, Alessandro [1 ]
Munafo, Filippo Luca Alberto [1 ]
Beccali, Marco [1 ]
机构
[1] Univ Palermo, Dept Engn, Palermo, Italy
关键词
Digital twin; visual comfort; lighting; indoor environmental comfort;
D O I
10.1109/MELECON56669.2024.10608560
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
A digital twin is a virtual depiction of a real-world building environment. The ongoing rapid development of the sensor system and the database is expediting the creation of a digital twin. The decision support system that incorporates digital twins is anticipated to aid designers and operators in establishing an optimal design and control strategy. This study addresses this gap by applying Digital Twin technology to optimize visual comfort in a real-world laboratory setting. The research integrates theoretical understanding of visual ergonomics with practical application, using a case study approach. The objective was to develop a Digital Twin model that simulates critical visual comfort parameters (e.g. illuminance levels, Daylight Factor and glare conditions). The case study is the Solarlab locate in the Engineering Department of the University of Palermo. This study aims to demonstrates the impact of Digital Twin technology in enhancing visual comfort within indoor environments. Through innovative applications in a laboratory setting, it highlights the potential of Digital Twins in optimizing lighting and shading systems, thereby contributing significantly to energy efficiency and user well-being.
引用
收藏
页码:1139 / 1145
页数:7
相关论文
共 50 条
  • [31] A Digital Twin-Based Fault Diagnosis Framework for Bogies of High-Speed Trains
    Wu, Xingtang
    Lian, Wenbo
    Zhou, Min
    Song, Haifeng
    Dong, Hairong
    IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, 2023, 7 : 203 - 207
  • [32] A digital twin-based machining motion simulation and visualization monitoring system for milling robot
    Zhaoju Zhu
    Zhimao Lin
    Jianwei Huang
    Li Zheng
    Bingwei He
    The International Journal of Advanced Manufacturing Technology, 2023, 127 : 4387 - 4399
  • [33] Digital twin-based cyber physical production system architectural framework for personalized production
    Park, Kyu Tae
    Lee, Jehun
    Kim, Hyun-Jung
    Noh, Sang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2020, 106 (5-6): : 1787 - 1810
  • [34] Process Monitoring using Digital Twin-Based Sensors integrated in Tool Clamping Surfaces
    Kurth, Robin
    Alaluss, Mohaned
    Wagner, Martin
    Tehel, Robert
    Riemer, Matthias
    Ihlenfeldt, Steffen
    42ND CONFERENCE OF THE INTERNATIONAL DEEP DRAWING RESEARCH GROUP, 2023, 1284
  • [35] A Digital Twin-based Workspace Monitoring System for Safe Human-Robot Collaboration
    Park, Jinha
    Sorensen, Lars Caroe
    Mathiesen, Simon Faarvang
    Schlette, Christian
    2022 10TH INTERNATIONAL CONFERENCE ON CONTROL, MECHATRONICS AND AUTOMATION (ICCMA 2022), 2022, : 24 - 30
  • [36] A Digital Twin-Based Approach for the Fault Diagnosis and Health Monitoring of a Complex Satellite System
    Shangguan, Duansen
    Chen, Liping
    Ding, Jianwan
    SYMMETRY-BASEL, 2020, 12 (08):
  • [37] A Digital Twin-Based Production-Maintenance Joint Scheduling Framework with Reinforcement Learning
    Hao, Qinglong
    Lv, Yaqiong
    2023 8TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS ENGINEERING, ICCRE, 2023, : 51 - 56
  • [38] Digital twin-based non-destructive testing for structural health monitoring of bridges
    Lai, Xiaonan
    Kan, Ziyun
    Sun, Wei
    Song, Xueguan
    Tian, Baomin
    Yuan, Tengfei
    NONDESTRUCTIVE TESTING AND EVALUATION, 2024, 39 (01) : 57 - 74
  • [39] A digital twin-based machining motion simulation and visualization monitoring system for milling robot
    Zhu, Zhaoju
    Lin, Zhimao
    Huang, Jianwei
    Zheng, Li
    He, Bingwei
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 127 (9-10): : 4387 - 4399
  • [40] A Digital Twin-based Predictive Strategy for Workload Control
    Ragazzini, Lorenzo
    Negri, Elisa
    Macchi, Marco
    IFAC PAPERSONLINE, 2021, 54 (01): : 743 - 748