LIGHTING QUALITY SUPPORTED BY SOFTWARE AND APPLICATION OF INCREASING THE EFFICIENCY

Abstract

The quality of lighting made by daylight or other light sources is as important as the physical size. It is known that, people are affected psychologically from the illuminance and correlated colour temperature of the place where they live, and the people who are in places with different colour and design could react different to the same stimulants. Qualitative and quantitative properties of lighting are so important for visualization. Quantitative properties are luminous flux, intensity and illuminance. Likewise the qualitative properties are correlated colour temperature and colour rendering index of the light. At this work, the value of correlated colour temperature and illuminance for a sample medium are optimized by using colour sensor and software. In optimization, the approach to the ideal lighting which is productive and economic is aimed by making data groups with measured data. These data groups are used by PIC microprocessor and PLC compound system so as to make the illuminance approach to demanded values. Measures were done with different dots to see the changing in lighting quality and productivity by determining the best sensor position. The sensor produces some base data with daylight. Energy possession is made in case the daylight data are enough and no extra lighting source is needed, so measurable possession data are gathered.