At present, the development of performances has evolved from factors such as auxiliary failures, severe signal interference, and poor signal interference in various control systems such as performing arts, stage machinery, sound, and equipment development. The development of stable and reliable stage equipment is developed for the evolution of performance and performance, and the actual operation of stage equipment After environmental research, an adaptive frequency hopping anti-jamming technology for stage carrier communication based on deep network is proposed. First, the model is used to obtain a large number of stage power line transmission channel parameters, and then a deep neural network is used to train an adaptive frequency hopping anti-jamming model, which can adaptively select the communication frequency band according to the stage power line communication environment. Experiments have proved that this technology can quickly and effectively select a stable communication frequency band according to the interference situation of the stage communication power line environment. When the signal-to-noise ratio is close to - 18 dB, the bit error rate is reduced by nearly 10 times compared with the traditional method, which improves the communication efficiency while further improving the reliability and stability of communication between stage equipment.