Tunnel portal shading shed intelligent regulation and control system and method based on deep reinforcement learning

The invention discloses a tunnel portal shading shed intelligent regulation and control system and method based on deep reinforcement learning, and the method comprises the steps: collecting the internal and external illumination environment data of a tunnel portal at regular time through a sensor, and transmitting the environment data to an intelligent decision module through a wireless transmission module; after the intelligent decision-making module collects the environment data, the light and dark environment adaptation distance needed by a driver is calculated through simulation according to the average vehicle speed; the environment data is stored and processed, a deep reinforcement learning Deep Q-Network model is input, and an optimal transparency setting strategy of the photosensitive glass module under different illumination and vehicle speed environments is obtained; after the digital signal output by the intelligent decision module is converted into a corresponding photosensitive glass voltage con