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基于大数据预测技术编制装配式企业定额综述
引用本文:谢葵花,纪艳红,卢煜,霍海娥.基于大数据预测技术编制装配式企业定额综述[J].西华大学学报(自然科学版),2022,41(3):106-112.
作者姓名:谢葵花  纪艳红  卢煜  霍海娥
作者单位:西华大学建筑与土木工程学院, 四川 成都 610039
基金项目:西华大学研究生创新基金项目(YCJJ2021082)
摘    要:发展绿色建筑是城市实现碳达峰、碳中和的重点?,?装配式建筑作为绿色建筑的典型代表近年来得到极大推广,然而企业定额的传统编制方法存在许多不足,制约着装配式建筑的快速发展.基于此,本文分析了装配式建筑发展现状及企业定额相关研究进展,归纳总结了企业定额的传统编制方法,并指出传统编制方法存在耗时长、精度低、不能满足当前装配式建...

关 键 词:装配式建筑  企业定额  大数据预测技术  绿色建筑
收稿时间:2022-03-16

A Survey on Compiling Prefabricated Enterprise Quota Based on Big Data Prediction
XIE Kuihua,JI Yanhong,LU Yu,HUO Haie.A Survey on Compiling Prefabricated Enterprise Quota Based on Big Data Prediction[J].Journal of Xihua University:Natural Science Edition,2022,41(3):106-112.
Authors:XIE Kuihua  JI Yanhong  LU Yu  HUO Haie
Affiliation:School of Architecture and Civil Engineering, Xihua University, Chengdu 610039 China
Abstract:The development of green building is the key point for cities to achieve carbon peak and carbon neutrality. Prefabricated building, as a typical representative of green building, has been greatly promoted in recent years. However, there are many deficiencies in the traditional enterprise quota compilation method, which restrict the rapid development of prefabricated building. Based on this, this paper analyzes the development status of prefabricated buildings and the research progress of enterprise quota, the paper points out that the traditional compilation method with the disadvantages such as long time-consuming and low precision cannot meet the current development needs of prefabricated buildings. In addition, the key role of big data forecasting technology in quota preparation is dissected. The conclusion shows that big data prediction employed in the compiling of enterprise quota for prefabricated construction can not only improve the compiling speed but also increase the accuracy of quota.
Keywords:
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