水电工程施工工序的概算定额智能绑定方法  

Intelligent method for binding construction process and budget estimate in hydropower projects

作　　者：庞小荣 刘全[1] 孟歆 刘杰元 李心睿 PANG Xiaorong;LIU Quan;MENG Xin;LIU Jieyuan;LI Xinrui(State Key Laboratory of Water Resources Engineering and Management,Wuhan University,Wuhan 430072,China;Chengdu Engineering Corporation Limited,Chengdu 610072,China)

机构地区：[1]武汉大学水资源工程与调度全国重点实验室,武汉430072 [2]中国电建集团成都勘测设计研究院有限公司,成都610072

出　　处：《水力发电学报》2025年第1期30-40,共11页Journal of Hydroelectric Engineering

基　　金：国家自然科学基金面上项目(51879147)。

摘　　要：概算定额和机械定额是施工资源分析和工程概算编制的基础。传统的工序和定额人工绑定,低效繁琐且容易出错。本文在建立定额范式数据库的基础上,采用信息检索和自然语言处理技术,提出施工工序的概算定额智能绑定方法。根据文本关键词语素分解,结合Word2vec词义分析与逆文本频率权重,提出了面向概算定额的正负相关性模糊检索模型;针对概算定额的分级检索特征,提出了概算定额的先验级联检索方法。实验表明,检索模型召回概算定额与施工机械台时费定额精确度分别达到92.29%、97.28%,先验级联检索方法显著缩短设计工时。本方法的应用能为水电工程设计智能化提供支持。Budget estimate quotas and mechanical quotas are the basis of construction resource analysis and engineering budget estimate compilation.Traditional manual binding of the process and quota is inefficient,cumbersome and error-prone.Based on establishing a quota paradigm database,this paper presents a new intelligent binding method for budget estimate quotas of construction process by using information retrieval and natural language processing technologies.For the budget estimate quotas with positive and negative relevance,a fuzzy retrieval model is developed using the morpheme segmentation of text keywords and combining Word2vec semantic analysis with inverse document frequency weights.And we construct a priori cascading search method for budget estimate quotas in response to the characteristics of hierarchical search of the quotas.Experiments show that the retrieval model achieves a recall precision of 92.29%for budget estimate quotas and 97.28%for construction machinery hourly rate quotas,and the search method reduces design man-hours significantly.Application of this binding method will be a strong support to intelligent designs in hydropower engineering.

关 键 词：设计概算 定额绑定 自然语言处理 信息检索 词义分析 

分 类 号：TV512[水利工程—水利水电工程] TP391.1[自动化与计算机技术—计算机应用技术]