Research on the key driver analysis technology of the cost deviation of the distribution network project based on the big data statistical analysis

The distribution network project has the characteristics of many voltage levels, complex network structure, diverse equipment types, wide operation points, relatively poor environmental safety and low investment density. Therefore, it is of great significance to improve the precise control level of the distribution network, identify the key deviation, identify the key drivers affecting the cost, and make the connection with the cost management business. Combined with the characteristics of distribution network engineering construction, this paper adopts the methods of big data statistical analysis and principal component analysis to build the diagnostic index system of key drivers of deviation based on the whole process management, and conducts in-depth analysis combined with the actual sample engineering data of a certain region. Through data analysis, the cost control situation of the distribution network project is clarified, the key deviation is analyzed layer by layer, the key driver of the deviation is identified, and the theoretical support and practical reference are provided for the scientific determination of the cost control target. The research shows that the analysis method based on PCA can effectively extract the main influence factors, optimize the cost management strategy, and improve the accuracy of the project cost control.