Design of Lighting Patterns using Energy Mapping Method for Attracting Underwater Creatures / 光能量映射法於水下生物誘集光型之設計研究

碩士 / 國立成功大學 / 系統及船舶機電工程學系 / 102 / This thesis integrates Polynomial and Fourier series with LIDC Energy Mapping Method to design lens that contain uniform and periodic light pattern for a light-emitting diode (LED) fishing lamp. Polynomial and Fourier series were used to represent the light intensity distribution curve (LIDC) of the light pattern. In this study, LIDC Energy Mapping Method and the conservation of energy were successfully used to represent the LIDC of the fish-attracting light pattern. In the same time, Polynomial and Fourier series and the energy mapping method were simplified to reflect the angular energy mapping relationship between the LIDCs of a light source and the light pattern. Based on the phototaxis of fish, Type I to IV lenses that complement each other were designed to create a fish-attracting light pattern of interleaving light–dark zones and using a white, red, green and blue LED light sourse to test the photosensitive wavelength of fish , which successfully prompted fish shoals to hover near the junction of these zones for a long period. Comparing the LIDCs of the Type I to IV and uniform illumination lenses with the simulation values showed a NCC value of 93~98%. According to the 12-hour experiment conducted to evaluate the fish-attracting ability of the lenses, once the fish shoal was habituated to a light source of identical intensity, the fish shoals moved to the junction of the light and dark zones, and waited to catch plankton. Overall, the proposed method can be used to not only design arbitrary light patterns but also control the light illumination distribution of a light pattern, therefore facilitating the replacement of traditional fishing lamps with LED fishing lamps.

Identiferoai:union.ndltd.org:TW/102NCKU5345010
Date January 2014
CreatorsWei-ChengHung, 洪瑋成
ContributorsSheng-Chih Shen, 沈聖智
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format134

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