基于多目标人工鱼群算法的光疗LED照度优化研究

Research on illumination optimization of phototherapy LED based on multi-objective artificial fish swarm algorithm

  • 摘要: 提高发光二极管(light emitting diode,LED)组成的光疗光源在照射平面上的照度均匀分布水平,对于光疗设备发展具有重要的价值。提出了一种基于多目标人工鱼群算法的光疗LED光源的照度优化方法。设计了2种不同组合模式的光疗LED光源阵列。结合多目标人工鱼群算法对光疗LED光源阵列组合数据进行优化,使光疗LED光源阵列的照度分布更加均匀。将优化设计后的光疗LED 光源芯片组合数据,导入光学仿真软件TracePro实现仿真验证,得到经优化的圆形光源排列的照度均匀程度较未优化圆形光源排列提升0.104,矩形光源排列的照度均匀程度较未优化矩形光源排列提升0.148。对比分析最终数据,验证了该优化方法是可行的,可以提高光疗LED光源的照度分布水平。

     

    Abstract: It is of great value for the development of phototherapy equipment to improve the uniform distribution of illuminance on the irradiation plane of the light therapy light source composed of light emitting diodes (LED). An illuminance optimization method for phototherapy LED light source based on multi-objective artificial fish swarm algorithm was proposed, and designed two different combination modes of phototherapy LED light source array. Combined with multi-objective artificial fish swarm algorithm, the combination data of phototherapy LED light source array was optimized to make the illuminance distribution of phototherapy LED light source array more uniform. The optimized design of phototherapy LED light source chip combination data were imported into the optical simulation software TracePro to achieve simulation verification. The illuminance uniformity of the optimized circular light source arrangement is 0.104 higher than that of the un-optimized circular light source arrangement, and the illuminance uniformity of the rectangular light source arrangement is 0.148 higher than that of the un-optimized rectangular light source arrangement. By comparing and analyzing the final data, it shows that the optimization method is feasible and can improve the illuminance distribution level of phototherapy LED light source.

     

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