Abstract: In order to ensure the effective tunneling and safe operation of the shield machine, it is crucial for the driver to identify the tunneling status and geological changes in the display interface of the shield machine at the first time. Therefore, an optimization method of display interface of the main control room of shield machine based on attention distribution is proposed, which considers the importance of parameter information and visual characteristics, and uses Jack simulation software to generate the best visual area. On this basis, combined with the attention level of the parameter information module, the optimization model of the display interface of the main control room of shield machine based on attention allocation is constructed. Aiming at the problem of solving the interface layout model based on the attention distribution principle, a hybrid intelligent algorithm based on artificial fish swarm and particle swarm is proposed which solves the problem that it is difficult to obtain the optimal solution due to the inaccurate quantification of the importance of node information due to the unreasonable setting of weight coefficients in the optimization model solving process. Finally, the eye movement experiment is carried out for the optimized display interface of the main control room of the shield machine.The experiment results show that the optimized display interface of the main control room of the shield machine can better focus the driver's gaze on the corresponding cognitive processing area and quickly obtain the tunneling parameters.

Key words: shield display interface, modular decomposition, attention distribution, hybrid intelligent algorithm, eye movement experiment