Fuzzy Comprehensive Evaluation of Mixed Reality Seismic Retrofitting Training System

被引:2
|
作者
Liu, Zhansheng [1 ]
Xue, Jie [1 ]
机构
[1] Beijing Univ Technol, Coll Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
关键词
MR; fuzzy comprehensive evaluation; seismic retrofitting training system; VIRTUAL-REALITY; AUGMENTED REALITY; MANAGEMENT;
D O I
10.3390/buildings12101598
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Due to the complexity of the construction environment and retrofitting methods, it is difficult to achieve the expected retrofitting effect. Therefore, effective seismic retrofitting training is a necessary way to ensure retrofitting workers acquire enough professional knowledge, skills and safe behaviors, which are critical to retrofitting. Mixed reality has huge potential in construction training. This paper conducts a fuzzy comprehensive evaluation of the MR seismic retrofitting training system to research the potential of MR in training. The purpose of this research was to provide scientific guidance and reference for the development, improvement and selection of MR training systems in the future. In this research, the evaluation indicators of the MR training system were firstly analyzed. Next, the weight of each evaluation indicator was calculated by the judgment matrix. Then, the evaluation model was established based on the qualitative-quantitative transformation principle of indicators. Finally, the results of the MR seismic retrofitting training system are obtained by combining the evaluation model with the membership matrix. The evaluation result of the training system in this paper is excellent.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Development and Evaluation of Pediatric Mixed-Reality Model for Neuroendoscopic Surgical Training
    Coelho, Giselle
    Figueiredo, Eberval Gadelha
    Rabelo, Nicollas Nunes
    de Souza, Matheus Rodrigues
    Fagundes, Caroline Ferreira
    Teixeira, Manoel Jacobsen
    Zanon, Nelci
    WORLD NEUROSURGERY, 2020, 139 : E189 - E202
  • [32] Fuzzy Comprehensive Evaluation of Performance on Urban Water Supply System
    Meng, Mei
    Zhao, Pingwei
    Bai, Miaoshun
    Wang, Jingcheng
    2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 6679 - 6684
  • [33] The Applied Research of Fuzzy Comprehensive Evaluation on Talent Training Mode of Safety Engineering
    Jiang, Fuchuan
    Zheng, Qiang
    Shi, Wenwen
    INTERNATIONAL SYMPOSIUM ON SAFETY SCIENCE AND ENGINEERING IN CHINA, 2012, 2012, 43 : 425 - 430
  • [34] PARSAT: Fuzzy logic for adaptive spatial ability training in an augmented reality system
    Papakostas, Christos
    Troussas, Christos
    Krouska, Akrivi
    Sgouropoulou, Cleo
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2023, 20 (04) : 1389 - 1417
  • [35] Research on the Evaluation System of Fire Fighting Information Based on Fuzzy Comprehensive Evaluation
    Ma Jinqiang
    2016 2ND INTERNATIONAL CONFERENCE ON MECHANICAL, ELECTRONIC AND INFORMATION TECHNOLOGY ENGINEERING (ICMITE 2016), 2016, : 250 - 253
  • [36] Study on Quality Evaluation System for Arterial Highways based on Fuzzy Comprehensive Evaluation
    Li, Jie
    Yang, Shaowei
    CIVIL ENGINEERING, ARCHITECTURE AND SUSTAINABLE INFRASTRUCTURE II, PTS 1 AND 2, 2013, 438-439 : 1952 - +
  • [37] Research on the Security Evaluation of Computer System Based on Fuzzy Comprehensive Evaluation Method
    Gao, Jimin
    Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016), 2016, 67 : 490 - 494
  • [38] Evaluation Model of Social Security System based on Fuzzy Comprehensive Evaluation Method
    Li, Jeimei
    PROCEEDINGS OF 2017 9TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2017, : 438 - 442
  • [39] Applications of mixed reality with medical imaging for training and clinical practice
    Lauinger, Alexa R.
    Mcnicholas, Meagan
    Bramlet, Matthew
    Bederson, Maria
    Sutton, Bradley P.
    Cao, Caroline G. L.
    Ahmad, Irfan S.
    Brown, Carlos
    Jamison, Shandra
    Adve, Sarita
    Vozenilek, John
    Rehg, Jim
    Cohen, Mark S.
    JOURNAL OF MEDICAL IMAGING, 2024, 11 (06)
  • [40] Shadow Generation in Mixed Reality: A Comprehensive Survey
    Kolivand, Hoshang
    Zakaria, Alhajhamad Hasan
    Sunar, Mohd Shahrizal
    IETE TECHNICAL REVIEW, 2015, 32 (01) : 3 - 15