Due to the impact of risk indicators

the existing methods of power grid path matching are not effective and can not get the best cost route.Therefore

a multidimensional information feature mapping based power grid section path matching model is designed.Collect and preprocess the path data of power grid risk section

and the SNM method is used to sort and clean the data.Through 3D mine software

according to the path data and geographic feature information

the geographic model of power grid risk section path is constructed

and the characteristics of power grid risk section path are extracted.According to the feature results

the multidimensional information feature mapping model is established

the multidimensional information feature exclusion function is obtained

and BPSO algorithm is used to optimize the weight value corresponding to the mapping function

so as to realize the path matching of power grid risk section.Analysis of the experimental results shows that the designed model can effectively avoid the risk obstacles and get the best cost path.