创新创业理论研究与实践 ›› 2024, Vol. 7 ›› Issue (7): 133-137.

• 创新方法 • 上一篇    下一篇

基于BIM技术的农村建筑节能改造研究

朱军1, 陈晶1, 刘辉2, 张伟1   

  1. 1.河西学院 土木工程学院,甘肃张掖 734000;
    2.广州科技职业技术大学 建筑工程学院,广东广州 510550
  • 出版日期:2024-04-10 发布日期:2024-07-16
  • 通讯作者: 陈晶(1989—),女,甘肃张掖人,硕士研究生,讲师,研究方向:建设项目管理及经济评价,电子邮箱:chenjingspring@126.com。
  • 作者简介:朱军(1985—),男,甘肃永昌人,博士研究生,讲师,研究方向:钢结构与组合结构。
  • 基金资助:
    大学生创新创业训练计划项目“基于BIM技术的农村建筑节能改造研究”(S202210740075); 教育部产学合作协同育人项目2023年批次立项项目“人工智能背景下职业本科建筑工程产学研实践基地建设研究”(230802537162047); 教育部产学合作协同育人项目2023年批次立项项目“数字化背景下职业本科建筑工程产学研实践基地建设研究”(230804691165814)

Research on Energy Saving Retrofit of Rural Buildings Based on BIM Technology

ZHU Jun1, CHEN Jing1, LIU Hui2, ZHANG Wei1   

  1. 1. School of Civil Engineering, Hexi College, Zhangye Gansu, 734000, China;
    2. School of Architectural Engineering, Guangzhou University of Science and Technology, Guangzhou Guangdong, 510550, China
  • Online:2024-04-10 Published:2024-07-16

摘要: 随着农村建筑节能改造重要性的日益凸显,如何利用先进的技术提高节能改造效果成为亟待解决的问题。该文以BIM技术为基础,探讨了其在农村建筑节能改造中的重要性,首先介绍了农村建筑节能改造的现状及问题,然后分析了农村建筑节能改造的技术方法和策略,并介绍了基于BIM技术的农村建筑节能改造流程,包括BIM模型的建立和数据分析优化,同时提出了相应的对策和建议。

关键词: BIM技术, 农村建筑, 节能改造, 应用流程, BIM模型, 数据分析

Abstract: As the importance of rural building energy-saving renovation is becoming more and more prominent, how to use advanced technical means to improve the effect of energy-saving renovation has become an urgent problem to be solved. Based on BIM technology, this paper discusses its importance in rural building energy-saving transformation. Firstly, it introduces the current situation and problems of rural building energy-saving renovation, then analyses the technical methods and strategies of rural building energy-saving renovation, and introduces the process of rural building energy-saving renovation based on BIM technology, including the establishment of the BIM model and the optimization of the data analysis, and at the same time, puts forward the corresponding countermeasures and suggestions.

Key words: BIM technology, Rural buildings, Energy efficiency retrofit, Application process, BIM model, Data analysis

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