Abstract: Laser cleaning involves complex technological processes with multiple systems and parameters, which leads to low human-machine interaction efficiency, poor comfort and safety, and directly affects the quality and stability of cleaning. Based on this, a multi-objective optimization method for human-machine interface layout of laser cleaning equipment based on particle swarm optimization-sparrow search algorithm(PSO-SSA) is proposed. According to the operator's cognitive characteristics and operational comfort, a multi-objective optimization model of human-machine interface layout is constructed based on visual attention, relevance, simplicity, balance comfort and reachable domain. A hybrid intelligent solution algorithm based on particle swarm optimization-sparrow search algorithm is proposed. The exploration and predation mechanism of the sparrow search algorithm is introduced into the particle swarm optimization algorithm to solve the problem that the particle swarm optimization algorithm is easy to fall into the local optimal solution due to the low local search accuracy and ability. Finally, taking the human-machine interface layout of large component laser cleaning equipment as an example, the optimization design is carried out, and the optimization effect is verified based on ergonomic simulation and eye movement experiment. The results show that the optimized human-machine interface layout is better than the original scheme in comfort and information interaction efficiency, which verifies the effectiveness and feasibility of the model.

Key words: laser cleaning equipment, human-machine interface layout, multi-objective optimization design, hybrid intelligent algorithm, eye movement experiment