Interface Development of Ship Indoor Lighting

Abstract

In this research study, a lighting interface was designed to draw lighting wiring diagrams of ships using a Visual Basic for Applications (VBA) program. By means of the utilization factor method for calculating the lamp number in the cabin, the luminaires and wiring are drawn with an AutoCAD drawing. From the design concept and manufacturing cost, the VBA program can build a construction layout, indoor lighting systems drawing, description of the luminaires, and cost estimation. Illumination experiments can calibrate the lamp number and illumination correctness; last, we use ant colony algorithms to calculate the optimized path and reduce the costs. 1. Introduction Light is a basic need of people in their daily lives, and it can affect people's physical and psychological behavior. Bellia et al. (2011) and Flynn et al. (1973) explained light sources with visual and nonvisual effects in terms of different spectral power, and the traditional method of lighting design uses the lowest illumination and lighting position to achieve an effective average illuminance of the environment. In addition to considering the lowest illumination, the visible and nonvisual aspects of lighting design must be estimated by designers. In general, lighting design is affected by daylight, and the daylight is from the sun and sky; the intensity of light in the sunlight is reduced in the atmosphere by the irradiation direction problem, and the sky's illumination is affected by the sun's radiation (Elvegård & Sjöstedt 1940). In recent years, there have been many lighting designs using computer simulations that account for the effects of sunlight. For example, Ng et al. (2001) used simulation software for lighting to assist the interior lighting design of buildings after recording the sunshine data, which allowed designers to more efficiently control the building's lighting conditions. Li and Tsang (2005) simulated indoor corridor illumination; the simulation results would be detected by light sensors, and the compared results were used to predict the consumption of lighting energy and to achieve energy savings. Yun and Kim (2013) accurately predicted the lighting energy consumed by the integrated simulation method, setting the scale model parameters that are required for simulation, through the split-flux, radiosity, and Daysin daylighting algorithms; the simulation results were considered for comparing the lighting of the energy consumption. Díaz-Vilariño et al. (2014) used simulation software to automatically generate a 3D geometrical model that can import lighting simulation software to perform an illumination analysis. Jia et al. (2014) integrated a dynamic environment simulation and illumination algorithms to provide quantitative visualization for lighting and position, to simulate and evaluate the impact of the lighting system.