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Under the action of its own weight and external forces, the goaf will further induce geological disasters such as ground subsidence and subsidence, resulting in operational risks for the transmission lines attached to the surface. In order to timely grasp the deformation and settlement of the transmission lines, early warning and corresponding measures should be taken. Therefore, it is necessary to carry out real-time identification and risk early warning strategy research on the settlement risk of transmission lines. In response to this problem, this paper first uses GNSS technology and double difference model to obtain real-time settlement. Then, the cumulative trend and rate of overall and uneven settlement of different terrain towers in goaf are analyzed. Finally, the empirical estimation method is used to design a three-level risk threshold and early warning strategy to achieve rapid risk identification and early warning. The conclusions of this study can provide real-time risk identification data and targeted early warning strategies for the power industry, to assist the lean management of the power industry, to avoid and reduce the occurrence of accidents.
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