基于随机森林的电网基建工程数据自适应整合系统设计

Design of data adaptive integration system for power grid infrastructure engineering based on random forest

目前设计的电网基建工程数据自适应整合系统得到的特征参数与理想值相差较大,导致整合时间过长,整合效率难以达到用户要求。为了解决上述问题,基于随机森林设计了一种新的电网基建工程数据自适应整合系统。硬件区域由信息管理模块、电网调度模块、多元故障分析模块以及数据共享模块组成。研究数据类型分布系数、数据出现的频率以及数据类型,进行自适应特征提取,通过决策树计算、数据整合模型、泛化误差检测实现电网基建工程数据自适应整合泛化分析。实验结果表明,设计的基于随机森林的电网基建工程数据自适应整合系统更加贴近理想值,能够很好地缩短整合时间,从而满足系统整合要求。

The characteristic parameters obtained by the currently designed power grid infrastructure project data self⁃adaptive integration system are quite different from the ideal values,resulting in too long integration time and difficulty in meeting user requirements for integration efficiency.In order to solve the above problems,a new adaptive integration system of power grid infrastructure project data is designed based on random forest.The hardware area is composed of information management module,power grid dispatching module,multiple fault analysis module and data sharing module.Research the data type distribution coefficient,the frequency of data occurrence and the data type,carry out adaptive feature extraction,and realize the adaptive integration and generalization analysis of power grid infrastructure project data through decision tree calculation,data integration model,and generalization error detection.The experimental results show that the designed random forest⁃based power grid infrastructure project data adaptive integration system can be closer to the ideal value,can shorten the integration time,and meet the system integration requirements.