The power transmission and transformation system is an important link of power transmission. In order to reduce the cost of operation and maintenance and improve the recognition effect，an application method of automatic identification and control of transmission and transformation vulnerable lines was proposed based on artificial intelligence （AI）technology. Using the greedy decision tree algorithm （ID3）of AI to measure the amount of information between different operation characteristics of the line，it got the line characteristics，introduced mutual information feature selection （MIFS）to optimize the decision tree，balanced the redundancy between the line operation characteristics by using the adjustment coefficient and penalty term，and introduced the weighted degree，measured the node weight and focused on the total active power of all connecting lines. Based on the comprehensive analysis of the permittivity and weighted degree，the comprehensive automatic identification index of vulnerable lines was obtained，the identification model was established，and finally the power flow transmission and load change of transmission and transformation lines were changed to achieve control. The experiment shows that the proposed method can accurately identify the location of vulnerable lines，which is effective and feasible，and its control application also effectively reduces the operation and maintenance costs.

interlocking failure  /  comprehensive vulnerability identification  /  AI technology  /  power transmission and transformation lines  /  identification indicators  /  control application