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作 者:李艳 张黛丽 Li Yan;Zhang Daili(Economic and Technology Research Institute,State Grid Qinghai Electric Power Company,Xining 810001,China)
机构地区:[1]国网青海省电力公司经济技术研究院,西宁810001
出 处:《办公自动化》2025年第6期88-90,共3页Office Informatization
摘 要:大数据技术能对多种结构化数据进行高效处理,增强电力工程造价管理效率。文章提出在电力工程造价管理中构建大数据平台,采用B/S架构构建CBR电力工程造价估算系统,搭建Application应用服务器,结合电力工程估算需求,构建电力工程造价清单项实体类、造价清单实体类(CostSummary)等,实现对电力工程数据的全面评估,优化设计造价估算管理模块,进行工料机信息与项目造价调整,以此实现对大量信息数据的高效处理,提升电力工程造价管理效率。Big data technology can efficiently process a variety of structured data and enhance the efficiency of power engineering cost management.This paper proposes to build a big data platform for power engineering cost management,employing a B/S architecture to develop a CBR-based power engineering cost estimation system,deploying an application server,and incorporating power engineering estimation requirements to construct classes such as power engineering cost list items and Cost Summary.The aim is to achieve comprehensive evaluations of power engineering data,optimize the design of cost estimation modules,and adjust material,labor,and equipment information along with project costs,thereby enabling efficient processing of large volumes of data and enhancing the overall efficiency of power engineering cost management.
分 类 号:TU723.3[建筑科学—建筑技术科学] TM7[电气工程—电力系统及自动化] TP311.13[自动化与计算机技术—计算机软件与理论]
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