Research on transmission line risk warning system in mining subsidence area based on deep learning

As an important geological disaster area after mining of underground resources such as coal mine, mining subsidence area poses a serious threat to the safety of ground lines. In order to effectively monitor and prevent the danger of mining subsidence area lines, this paper proposes a deep-learning-based hazard warning system for mining subsidence area lines. Firstly, the early warning model is constructed and trained based on FNN and RNN methods, then the system architecture is designed and implemented, and finally the system test results show that all meet the expected standards. It can meet the need of danger warning of mining subsidence area and provide new solutions and technical support in safety monitoring and risk prevention.