水电工程智能组价的研究与实践  

Research and Practice on Intelligent Price Grouping in Hydropower Engineering

作　　者：张然 马岗 ZANG Ran;MA Gang(PowerChina Chengdu Engineering Corporation Limited,Chengdu Sichuan 610072;Sichuan Yema Technology Co.,Ltd.,Chengdu Sichuan 610072)

机构地区：[1]中国电建集团成都勘测设计研究院有限公司,四川成都610072 [2]四川野马科技有限公司,四川成都610072

出　　处：《四川水力发电》2023年第6期1-4,15,共5页Sichuan Hydropower

基　　金：中国电建成都院科技项目:PB4421《水电工程造价云数据库应用系统研发》资助。

摘　　要：在工程造价领域,组价是一项重要工作内容,组价过程需耗费造价人员大量时间和精力,故提升组价效率是业界共同的目标。业界将历史组价成果与云计算和大数据的技术结合,试图提升组价效率,但照搬历史数据无法贴合施工方案。笔者提出智能组价思路,用语义分析技术识别清单特征,用智能算法模拟人脑思考进行组价,实现组价结果与施工方案的贴合,并分享了智能组价实施的难点与改进思路。In the field of engineering cost,price grouping process is an important task that requires a lot of time and effort from cost personnel.Improving the efficiency of price grouping is a common goal in the industry.The industry has combined historical price grouping results with cloud computing and big data technologies to try to improve the efficiency of price grouping.However,blindly copying historical data cannot match the construction plan.This paper has proposed the concept of intelligent price grouping,using semantic analysis technology to identify list features,and using intelligent algorithms to simulate human thinking for price grouping,thus achieving the matching of price grouping results and construction plans,and also has shared the difficulties and improvement ideas of implementing intelligent price grouping.

关 键 词：工程造价 智能组价 工程大数据 

分 类 号：TN915.5[电子电信—通信与信息系统]