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In order to avoid the problems of engineering operation caused by cable exposure, the index analysis of cable exposed risk pattern recognition based on intelligent sensing vision is proposed. The cable damage data is pretreated by analyzing the exposed factors of cable and analyzing the index and principle of cable exposed risk identification. SVD method is used to extract the data characteristics, and the intelligent sensing vision technology is introduced to reconstruct the cable damage data, so as to complete the analysis of cable exposed risk pattern recognition index. The experimental results show that the proposed method has high accuracy and can effectively reduce the risk of cable exposure and reduce the loss of power transmission process..