Deep learning-based tower crane real-time path planning system and method

The invention discloses a tower crane real-time path planning system and method based on deep learning, and the system comprises a construction site environment real-time sensing module which is used for carrying out the real-time collection and processing of the space information of an object in a construction site environment, constructing a real-time construction site space model, and carrying out the real-time three-dimensional collision prediction based on the model; the tower crane data acquisition module is used for acquiring the operation action of a tower crane driver and the motion state of the tower crane and recording according to time to form a tower crane driver operation sequence and a tower crane motion state sequence; the real-time path planning module is used for training a neural network of a deep learning algorithm and learning real planning characteristics of a tower crane driver on a hanging object path; and meanwhile, the planned path is dynamically adjusted in real time, so that obstac