Design and construction of age-friendly smart buildings based on BIM technology

Author:

He Yu1

Affiliation:

1. 1 Chongqing Metropolitan College of Science and Technology , Chongqing , , China .

Abstract

Abstract This paper explores the entry point of BIM technology in promoting intelligent construction and proposes an engineering safety accident prediction model for the construction of age-friendly intelligent buildings based on the gray prediction GM(1,1) method. Based on the physical condition of the elderly, the needs of the settlement, at the same time, the construction of an intelligent old-age design system, according to the needs of the corresponding response to the old-age building design, to facilitate the residence. The intelligent floor plate is identified as an example of the intelligent design results of age-friendly buildings by empirically analyzing their willingness to construct age-friendly intelligent buildings. In the willingness analysis, the survey results were analyzed for reliability validity and correlation; the reliability α coefficients were all greater than 0.7, the AVEs of the reliability were all higher than 0.5, the CRs were all higher than 0.7, and the reliability validity of the survey was high. The correlation coefficients were all >0, and there was a significant positive correlation between the survey variables. The vibration length was used as a criterion, and the accuracy, precision and recall were all 1. The experiments showed that the elderly have a high degree of intention to build age-appropriate intelligent buildings, and the buildings have a high accuracy in interpreting the state of the elderly, and they can detect problems in time and report them to the relevant personnel.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3