Research on influencing factors of achievement generation in electric power technology projects and development of an intelligent evaluation system
WU Bing
LIU Yuxi
OU Yanghong
ZHANG Zhiwei
WANG Tipeng
Abstract：To continuously enhance the technological innovation capability in the power industry,it was imperative to identify the main factors influencing the output of technology projects.This study relied on historical data from State Grid's technology projects,utilizing technology projects completed by subordinate enterprises of State Grid between 2018 and 2021 as sample data.The study examined two main aspects,including the quantity and quality of scientific research personnel,while also considering three heterogeneous factors(enterprise scale,the number of enterprise researchers,and the per capita research funding expenditure of researchers).By employing a panel regression model,we empirically analyzed the main influencing factors of the output of power technology projects.The findings revealed that the proportion of researchers with doctoral degrees,the number of individuals under the age of 45 with associate senior professional titles or above,the number of completed technology projects,and the total funding allocated to the completed projects significantly enhanced the output of technology projects.Based on the correlation coefficients of various indicators,the system follows the National Grid SG-ERP architecture concept and adopts the SG-UAP technical route.It employs a modular three-tier architecture design pattern to build a digital technology project evaluation system.The main functions include project indicator management,task management,operation management,comprehensive project query and analysis,system configuration,system performance display,and system scalability demonstration.Experimental results have proven the system's advanced nature,providing technical support to enhance the technological innovation capability of power enterprises.
Keywords：technology projectachievement generationintelligent evaluation systempanel regression modelheterogeneity characteristicselectric power enterprises
Publication Date：2025-09-28
Online Publishing Date：2025-11-05(First online date of this platform, not the publication date of the document)
Pages：8( 163-170 )