Daylight Illuminance Levels IIoT Monitoring System

Illuminance measurement in indoor spaces using a lux meter on the working plane or at a height of 0.75 m from the floor. In contrast, an illuminance levels monitoring system where the lux sensors are located at the ceiling. Therefore, there is a significant difference in the illuminance value betwee...

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Bibliographic Details
Published in2024 International Conference on Future Technologies for Smart Society (ICFTSS) pp. 152 - 156
Main Authors Adnan, Mohd Faiz Md, Wagiman, Khairul Rijal, Abdullah, Mohd Noor, Norli, Nur Izzah Izzati Binti, Kasiman, Abd Rahim Bin
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.08.2024
Subjects
daylight
illuminance level
Industrial Internet of Things
internet of things
Logic
Meteorology
Monitoring
Position measurement
programmable logic controller
Sensor systems
Sensors
Visual databases
Visualization
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Summary:Illuminance measurement in indoor spaces using a lux meter on the working plane or at a height of 0.75 m from the floor. In contrast, an illuminance levels monitoring system where the lux sensors are located at the ceiling. Therefore, there is a significant difference in the illuminance value between the two different positions of lux measurements. As a result, the accuracy of the lighting controller in providing an average illuminance level according to the Malaysian Standard MS1525 may be affected. Moreover, low illuminance levels can cause discomfort and visual fatigue to the room's occupants. In this paper, a Daylight Illuminance Level IIoT Monitoring System (DILIMS) is developed to collect the illuminance value from two different positions where the illuminance sensors are installed: (1) the working plane and (2) the ceiling. Programmable Logic Control (PLC)-based Industrial Internet of Things (IIoT) was utilized to collect, store, and monitor the data from the sensors. As a result, the illuminance values collected from the sensors by considering daylighting showed different values in day-to-day data due to changes in weather conditions. Another key point of data analysis is the differences between the values of the sensor location.
DOI:10.1109/ICFTSS61109.2024.10691366