基于KJ分析法的电力工程造价分析系统  

Power engineering cost analysis system based on KJ analysis method

作　　者：杨德州 YANG De-zhou(Economic and Technological Research Institute,State Grid Gansu Electric Power Company,Lanzhou 730050,China)

机构地区：[1]国网甘肃省电力公司经济技术研究院,兰州730050

出　　处：《沈阳工业大学学报》2023年第4期376-380,共5页Journal of Shenyang University of Technology

基　　金：甘肃省科技计划项目(S2019CXCPB0464).

摘　　要：针对电力工程造价分析工作展开困难、影响因素多且各因素的重要性分布不均匀的问题,提出了一种基于KJ分析法的电力工程造价分析系统.使用KJ分析法来确定电力工程造价的主要影响因素,减少了不重要指标的数量.使用组合赋权法确定每个影响因素的权重,再使用逼近理想解的排序方法来降低指标的不确定性,并通过训练支持向量机模型对电力工程造价进行分析与评价.110 kV变电工程案例分析结果表明,所提出的方法能够提升模型的智能性、简化人为操作,得到更为合理的评价结果.Aiming at the difficulties of power engineering cost analysis work,the large number of influencing factors and the uneven distribution of factor significance,a power engineering cost analysis system based on a KJ analysis method was proposed.The KJ analysis method was used to determine the main influencing factors of power engineering cost while reducing the number of unsignificant indicators.A combination weighting method was adopted to determine the weight of each influencing factor,and a ranking method for the approximation to ideal solution was used to reduce the uncertainty of indicators.In addition,a support vector machines was employed to analyze and evaluate the power engineering cost.The results of the case analysis for a 110 kV substation engineering show that the as-proposed method can improve the intelligence of the model,simplify the human operation,and obtain more reasonable evaluation results.

关 键 词：电力工程 造价分析 KJ分析法 组合赋权 理想解 支持向量机 不确定性 

分 类 号：TM76[电气工程—电力系统及自动化]