工程造价管理2024,Vol.35Issue(6) :39-43.DOI:10.19730/j.cnki.1008-2166.2024-06-039

基于大数据的工程造价信息资源共享方法

A Method for Sharing Engineering Cost Information Resources Based on Big Data

林锦全
工程造价管理2024,Vol.35Issue(6) :39-43.DOI:10.19730/j.cnki.1008-2166.2024-06-039

基于大数据的工程造价信息资源共享方法

A Method for Sharing Engineering Cost Information Resources Based on Big Data

林锦全1
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作者信息

  • 1. 浙江嘉晟工程项目管理有限公司,浙江温州 325200
  • 折叠

摘要

随着建筑行业数据量的迅猛增长,传统管理模式下的信息孤岛和数据不一致问题愈发显著,一定程度上制约了行业的效率与发展.文章提出了一种基于大数据的工程造价信息资源共享方法.该方法的核心在于构建企业集成数据平台(EIDP),无缝整合BIM(建筑信息模型)与ERP(企业资源计划)系统的数据资源;通过引入IFC文件转换器,不同系统间的数据壁垒,实现了高效的数据互操作性;同时,借助先进的数据挖掘引擎,使工程造价信息得以深度利用.这一资源共享方法的业务改进涵盖了闭环施工供应链管理、基于大数据的成本与知识管理以及决策支持系统,不仅为企业推行精细化管理提供技术方案,也为建筑行业未来的数字化转型和大数据应用探索提供了实践参考.

Abstract

With the rapid growth of data in the construction industry,the problems of information islands and data inconsistency under the traditional management model have become increasingly prominent,restricting the efficiency and development of the industry.This paper proposes a method for sharing engineering cost information resources based on big data.The core of this method lies in the construction of an Enterprise Integrated Data Platform(EIDP),which seamlessly integrates data resources from BIM(Building Information Modeling)and ERP(Enterprise Resource Planning)systems.By introducing an IFC file converter,the data barriers between different systems are broken,enabling efficient data interoperability.At the same time,with the help of an advanced data mining engine,engineering cost information can be deeply utilized.The business improvements of this resource sharing method cover closed-loop construction supply chain management,big data-based cost and knowledge management,and decision support systems.It not only lays a solid technical foundation for enterprises to implement refined management but also provides valuable theoretical support and practical guidance for the future digital transformation and big data application exploration in the construction industry.

关键词

大数据/数据平台/资源共享/知识管理/数据挖掘

Key words

Big data/Data platform/Resource sharing/Knowledge management/Data mining

引用本文复制引用

出版年

2024
工程造价管理
中国建设工程造价管理协会 建设部标准定额研究所

工程造价管理

ISSN:1008-2166
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