As an important part of the power transmission and distribution system

the erection quality of the power pole directly affects the safety and reliability of the power grid.Based on a random forest model

this paper proposes an intelligent method for evaluating construction quality.Firstly

according to pole erection standards

parameters such as the offset and height of the pole are selected as feature vectors

and the corresponding labels of the feature vectors are set

and the feature vectors and their labels are used as the training set. Secondly

the training set is input into the random forest model and the model is corrected by the K-Fold cross-validation method.Finally

the optimized random forest model is applied to intelligently evaluate the erection quality of the poles.Experimental results show that the proposed method can efficiently and accurately assess the construction quality of the power pole erection

demonstrating strong practical significance for improving the safety and reliability of power distribution systems.