Cloud edge collaborative cost analysis of power transmission and transformation projects based on PCA and improved AHP
SONG Yuan
LU Yao
LI Hao
ZHAO Zhenxi
GUO Xiaodan
Abstract：[Objective]With the urgent need for cost reduction and efficiency improvement,as well as the increasing demand for refined control in power engineering,the importance of multi-element,whole-process,and refined cost management in infrastructure projects is becoming increasingly evident in the context of smart infrastructure.Traditional project cost methods cannot meet the requirements of optimizing the full life cycle cost of smart infrastructure projects.Simple cost management mode must shift to intelligent cost management mode.[Methods]To further improve the refinement level of cost management under the massive data of power transmission and transformation projects and achieve the goal of covering all stages of the entire process,a cloud edge collaborative cost analysis method for power transmission and transformation projects based on principal component analysis(PCA)and improved analytic hierarchy process(AHP)was proposed after in-depth research on the existing project cost management mode,which could address the problem that traditional project cost analysis methods were difficult to accurately analyze complex and massive data in smart grids projects.This method effectively improved the refinement level of project cost management.The proposed method first designed a targeted cost system for power transmission and transformation projects based on cloud edge collaborative architecture.A three-layer cost factor evaluation index system was developed,including a target layer,a criterion layer,and a scheme layer,which was used to evaluate the cost impact indicators.In the edge computing center of the system,the PCA was used to reduce the dimension of massive project cost data and upload it to the cloud center.The particle swarm optimization(PSO)algorithm optimizes the weights of evaluation indicators in the AHP,which effectively eliminates the subjective bias of the original AHP.In the cloud center,the optimized AHP was used to achieve reliable calculation of project cost.[Results]With the cost data of the selected power transmission and transformation projects,experimental analysis was conducted on the proposed method.The PSO algorithm converged after 45 iterations to complete the parameter optimization of AHP,which is better in optimization speed and accuracy.By comparing with other cost methods,the proposed method has an project cost calculation value closest to the actual value with an error of less than 7％and a minimum error of only 4.16％,which is significantly better than the other compared methods.[Conclusion]Under the cloud edge collaborative architecture,the proposed method effectively uses the edge computing and PCA to complete data dimensionality reduction.The optimized AHP-PSO algorithm achieves smaller analysis errors and higher evaluation reliability under more reasonable evaluation index weights,which effectively meets the requirements of refined cost management for smart infrastructure projects throughout the entire process and all elements.
Keywords：power transmission and transformation projectcloud edge collaborationengineering cost analysisprincipal component analysisparticle swarm optimization algorithmanalytic hierarchy processsmart gridcloud computing
Publication Date：2025-03-31
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 190-196 )