OPGW Cable Risk Identification Method Based on K-means Clustering

In order to solve the problem that it is difficult to accurately evaluate the risk of OPGW cable under the action of multiple factors, an identification method of OPGW cable risk characteristics based on K-means clustering is proposed. Firstly, the risk characteristics of OPGW cable are analyzed, including performance index and operation risk factors. Then, considering the time factor, deformation factor and structural factor of OPGW cable risk, a risk characteristic identification method of OPGW cable based on K-means clustering is proposed. Finally, an example analysis is carried out. The example results show that the proposed method can effectively identify the risk characteristics of OPGW and further improve the risk control strategy of OPGW cable, so as to complete the operation and maintenance of OPGW cable more efficiently.