Volume 18 Issue 5
Oct.  2022
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WANG Weijie, WAN Rong, KONG Xianghong, XIAO Yuchen. Optimization on calculation method of horizontal illuminance for metal halide fish lamp around fishing boats[J]. South China Fisheries Science, 2022, 18(5): 138-144. DOI: 10.12131/20210320
Citation: WANG Weijie, WAN Rong, KONG Xianghong, XIAO Yuchen. Optimization on calculation method of horizontal illuminance for metal halide fish lamp around fishing boats[J]. South China Fisheries Science, 2022, 18(5): 138-144. DOI: 10.12131/20210320
shu

Optimization on calculation method of horizontal illuminance for metal halide fish lamp around fishing boats

  • 1.

    College of Marine Sciences, Shanghai Ocean University , Shanghai 201306, China

  • 2.

    National Engineering Research Center for Oceanic Fisheries/Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources, Shanghai 201306, China

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  • Received Date: October 31, 2021
  • Revised Date: January 06, 2022
  • Accepted Date: February 04, 2022
  • Available Online: March 02, 2022
    Graphical Abstract
    • Abstract
  • Monte Carlo simulation is an effective numerical simulation approach to calculate illuminance at target region by discretizing beam into photons and calculating illuminance based on tracking photon path. In order to calculate the horizontal illumination distribution of the fish lamp accurately, taking the metal halide fish lamp as an example, we analyzed and optimized the photon number and photon emission model in the process of Monte Carlo simulation. For the photon number, we carried out the numerical simulation by setting different photon numbers to analyze its influence on the stability of simulation results. Meanwhile, we presented a photon emission optimization model based on the luminosity distribution data of fish lamp and verified by the measured data. The results show that: 1) The larger the number of the simulated photon, the better the stability of the simulation result. Taking the calculation point with a horizontal distance of 5 m from the lamp as an example, when the value exceeded 108, the coefficient variance (CV) was 0.07% and when the value exceeded 1010, the CV was 0.05%. 2) Byusing the optimized model, the mean relative error (MRE) between the simulated and measured data reduced from 0.051 2 to 0.045 3. In addition, we calculated the light field illumination of fishing boats in the actual working environment by using the optimized model, and the average error between the calculated value and measured value was about 0.052 3.
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