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Aiming at the problems of the existing lighting system of public buildings, such as high cost, low ability of combination of distributed and centralized control and weak interaction, intelligent optimization algorithm is applied to realize regional collaborative lighting control in distributed framework.??Through illumination information acquisition window, prediction of natural light through the window on the work of illuminance value. When the natural light is insufficient and artificial light source is needed to supplement, the improved particle swarm optimization algorithm is used to calculate the best combination of luminaries' openness in each region through coordination, so as to achieve uniform lighting and the best integration of comfort and energy saving.?When lighting requirements change, you can modify them on the WEB side.??Finally, a real office model is used for simulation verification on DIALux evo.??Under different lighting requirements and environmental conditions, the experimental results show that compared with the common control method (all on and all off), the method has good performance in energy saving and comfort, and can effectively control the illumination of working face. The maximum illumination error of each working face is within 10%. The control scheme is feasible and has practical value.