Journal of Applied Optics, Volume. 43, Issue 5, 879(2022)

Indoor lighting energy-saving control method based on genetic simulated annealing algorithm

Jing GUO and Yujie ZHANG
Author Affiliations
  • [in Chinese]
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    Figures & Tables(10)
    Structure of radial basis function neural network
    Schematic diagram of overall network model
    Schematic diagram of lighting scenes
    Curves of optimization process
    • Table 1. Test results of lamp 1

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      Table 1. Test results of lamp 1

      测量照度值/lx961406613215494
      计算照度值/ lx901306812916890
      相对误差/%−6.25−7.143.03−2.278.86−4.26
    • Table 2. Test results of illuminance models

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      Table 2. Test results of illuminance models

      灯具编号123456789
      ei/% 3.633.254.262.061.963.782.692.771.95
    • Table 3. Lighting control results with 3 people indoors

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      Table 3. Lighting control results with 3 people indoors

      工位编号123456
      有无人员
      PSO寻优照度/lx265338297253179297
      GA寻优照度/lx285326299265170298
      GSAA寻优照度/lx219302304283197300
      PSO寻优调光比[0.00,1.00,0.98,0.89,0.22,0.00,0.00,0.79,0.98]
      GA寻优调光比[0.07,0.98,0.95,0.86,0.30,0.03,0.04,0.80,0.93]
      GSAA寻优调光比[0.04,0.45,0.97,0.76,0.65,0.06,0.11,0.76,0.95]
    • Table 4. Lighting control results with 4 people indoors

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      Table 4. Lighting control results with 4 people indoors

      工位编号123456
      有无人员
      PSO寻优照度/ lx249371300322303316
      GA寻优照度/ lx256368320318316309
      GSAA寻优照度/ lx202299301308231298
      PSO寻优调光比[0.00,1.00,1.00,0.00,1.00,0.04,1.00,0.54,1.00]
      GA寻优调光比[0.03,0.96,0.85,0.23,1.00,0.06,0.94,0.63,1.00]
      GSAA寻优调光比[0.04,0.33,0.97,0.40,0.98,0.10,0.32,0.85,0.81]
    • Table 5. Lighting control results with 5 people indoors

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      Table 5. Lighting control results with 5 people indoors

      工位编号123456
      有无人员
      PSO寻优照度/ lx261298351308301311
      GA寻优照度/ lx285300349307311309
      GSAA寻优照度/ lx198297326342311301
      PSO寻优调光比[0.34,0.42,0.85,1.00,0.09,0.51,0.88,0.65,0.92]
      GA寻优调光比[0.36,0.50,0.90,0.92,0.05,0.54,0.90,0.71,0.93]
      GSAA寻优调光比[0.17,0.10,0.95,0.34,0.89,0.45,0.79,0.96,0.59]
    • Table 6. Energy saving comparison of optimization algorithms

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      Table 6. Energy saving comparison of optimization algorithms

      实验序号123456均值
      PSO/%38.0037.6835.6939.8539.9038.6538.30
      GA/%35.3235.6232.9835.6936.9536.4435.50
      GSAA/%39.5638.9740.5041.0340.6441.3040.33
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    Jing GUO, Yujie ZHANG. Indoor lighting energy-saving control method based on genetic simulated annealing algorithm[J]. Journal of Applied Optics, 2022, 43(5): 879

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    Paper Information

    Category: OE INFORMATION ACQUISITION AND PROCESSING

    Received: Feb. 28, 2022

    Accepted: --

    Published Online: Oct. 12, 2022

    The Author Email:

    DOI:10.5768/JAO202243.0502001

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