LAUSR

Working under the visual display terminal for several hours may cause serious visual fatigue, resulting in production efficiency decrease, and health damage. To address the problem, an optimal break time allocation strategy for workers considering visual fatigue change has been proposed in this paper. First, based on the existing work, a novel visual fatigue change model is established to depict the impact of the continuous work time. On this basis, according to optimization theory, aiming at minimizing the total visual fatigue level, an optimization model is developed to allocate the hourly break time considering the working demand. Additionally, this model is converted as a classic mixed-integer linear programming (MILP) problem and efficiently solved by Gurobi. Finally, a validation experiment with 20 participators is done to verify the effectiveness and superiority of the proposed strategy. The results show that the proposed visual fatigue change model is able to effectively evaluate the actual visual state of workers and predict the visual fatigue development. Additionally, the proposed rest time optimization strategy is able to significantly reduce the visual fatigue level and improve the visual health.