Research on Steel Plate Linear Heating Robot Based on Deep Q Network of Gradient Strategy Method

The heating and forming process of hull steel plates not only affects the hydrodynamic performance of ships, but also affects the cycle and cost of hull construction. In the process of 3D curved surface linear heating and forming of hull steel plates, the heating line planning difficulties, as well as the low forming efficiency and precision are solved. ANSYS is used to simulate the linear heating and forming process of steel plates to obtain data, and a linear heating model of a deep Q network(DQN) based on the gradient strategy method is established. This model can not only plan the heating line, but also optimize the heating line in real time, and realize the linear planning of steel plate heating for auxiliary workers. The results show that this research method can effectively realize the robot to plan the linear heating line of the target steel plate and heat the steel plate, providing a new solution for the optimization of the 3D curved surface forming process of steel plates and the realization of semi-automation.