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IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I

Research Article

Cluster Evaluation Method of Building Decoration Cost Rationality Based on BIM Model

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-030-94185-7_34,
        author={Miao Wei and Yun-xia Xie},
        title={Cluster Evaluation Method of Building Decoration Cost Rationality Based on BIM Model},
        proceedings={IoT and Big Data Technologies for Health Care. Second EAI International Conference, IoTCare 2021, Virtual Event, October 18-19, 2021, Proceedings, Part I},
        proceedings_a={IOTCARE},
        year={2022},
        month={6},
        keywords={BIM model Building decoration cost Rational clustering Evaluation method},
        doi={10.1007/978-3-030-94185-7_34}
    }
    
  • Miao Wei
    Yun-xia Xie
    Year: 2022
    Cluster Evaluation Method of Building Decoration Cost Rationality Based on BIM Model
    IOTCARE
    Springer
    DOI: 10.1007/978-3-030-94185-7_34
Miao Wei1,*, Yun-xia Xie1
  • 1: Guangxi Modern Polytechnic College
*Contact email: wow8858@aliyun.com

Abstract

In view of the low efficiency of traditional cost rationality evaluation methods, this paper designs a cluster evaluation method of building decoration cost rationality based on BIM model. BIM model is used to collect the data of architectural decoration, and the reasonable threshold interval is set. Then the decoration data and threshold parameters are clustered to complete the construction of the evaluation method. After setting the classical domain of quantitative indicators, we prepare the evaluation data set for the experiment, and call two traditional evaluation methods and the evaluation method designed in this paper to carry out the experiment. The results show that the evaluation method designed in this paper is more efficient.

Keywords
BIM model Building decoration cost Rational clustering Evaluation method
Published
2022-06-18
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-94185-7_34
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