Analysis of Influencing Factors of Equipment Life Cycle Based on Random Forest

With the growing market demand for power, power supply enterprises in various regions are constantly increasing the investment in power grid construction projects. Taking the asset life-cycle management as the research object, this paper proposes to use the random forest method to rank the importance of the influencing factors of the equipment life-cycle cost, identify the impact degree of the influencing factors of HGIS/GIS equipment life-cycle cost, and analyze and find the important indicators and their impact degree combined with Pearson correlation. It provides a basis for reducing unnecessary loss caused by risk factors.