EEE31 IOT (Internet of Things) for Optimal Lighting Control in Green Buildings
EEE31 By : Marcellinus Jerricho Simon Julian Lauw - Nanyang Junior College
BACKGROUND INFORMATION
WHAT IS GOING ON? CLIMATE CHANGE
WARMER SINGAPORE TWICE AS FAST
WHAT IS SINGAPORE DOING? - Aim to reduce 36% of carbon emission from 2005-2030 - Building sector is the second largest energy consumer - Lighting (15%)
BUILDING AND CONSTRUCTION AUTHORITY (BCA) 1. Major buildings to comply to code of practice SS531 , which requires them to have: - Efficient lighting - Mitigation of overly lit areas - Minimum lights lifespan of 50000 hours - Controllable lamp variables
GREEN MARK FOR NON RESIDENTIAL BUILDING 2. BCA implemented standards and credited buildings with greater energy use efficiency. Such as: - Regular colour (temperature) uniformity. - Lighting designed to avoid flicker and stroboscopic effects - Meeting the minimum colour rendering - LED Luminaries certified under Singapore green Building Council (SGBP) scheme
Minimum lifespan rating
GREEN BUILDING both a structure and the application of processes that are environmentally responsible and resource-efficient throughout a building's life-cycle: from planning to design, construction, operation , maintenance, renovation, and demolition.
Why lighting
‘Light has an enormous effect on our physical ON WELL-BEING and mental well-being,’ said Stanley Felderman of Felderman Keatinge & Associates .
= GREATER COMFORT AND PRODUCTIVITY
OBJECTIVE To produce an energy-efficient smart lighting system that increases comfort and user’s productivity through light intensity.
TARGET AREA: OFFICE, RETAIL AND RESIDENTIAL
METHODOLOGY Prototype development Measure of success Design Further improvement
MEASURE OF SUCCESS Blue Light Exposure and Circadian Stimulus Calculator using TSL2561 Luminosity Sensor for Raspberry Pi
PROTOTYPE DEVELOPMENT Effective Light Control This would be controlled using Colour Intensity parameter by being Colour Thresholded beforehand . Colour Thresholding : Image segmentation. Colour Intensity : brightness of the color. Demonstration on using the colour thresholding and Intensity
Front DESIGN 1. Standard Raspberry Pi Display with touch screen. 2. Interface would provide good Back contrast and adjustable text size ( which comes by default ).
3D DESIGN DEMONSTRATION
FURTHER IMPROVEMENT Machine Learning Algorithm Motion Detector Demonstration of the Algorithm for small sample space
Limitation & Conclusion Equipment Limitation and knowledge limitation: - 3D printer - Raspberry Pi and Large image Processing - Integrating the modules using bottom-up fashion - Circadian Stimulus Calculator Source Code and computation Overall , the study has tried to develop an automated model of a lamp that can help to create an efficient lighting using Raspberry Pi.
Thank you for your kind attention
Q&A
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