1673-159X

CN 51-1686/N

基于大数据预测技术编制装配式企业定额综述

A Survey on Compiling Prefabricated Enterprise Quota Based on Big Data Prediction

  • 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筑发展需要等不足;在此基础上,剖析了大数据预测技术在定额编制环节的关键作用。将大数据预测方法应用于装配式建筑企业定额编制中,可弥补传统编制方法的不足,提高编制的速度和精度。

     

    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.

     

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