Railway goods yard safety operation automatic control method based on deep learning

The invention discloses an automatic control method for safe operation of a railway freight yard based on deep learning, which comprises the following steps: firstly, analyzing the existing railway freight yard operation, including the whole process of sending operation, on-the-way operation and arrival operation, and extracting key links of the railway freight yard operation, which need to be emphatically supervised, as monitoring item points; dividing the unsafe state into a static unsafe state and a dynamic unsafe state; according to the characteristics of each monitoring item point, different deep learning algorithms are adopted for recognition, a target detection algorithm of deep learning is adopted in a static unsafe state, a behavior recognition algorithm of deep learning is adopted in a dynamic unsafe state, and the recognized unsafe states are automatically warned in time. According to the invention, automatic control research on the railway freight yard operation process is carried out by means of