EEE31
IOT (Internet of Things) for Optimal Lighting Control in Green Buildings
BACKGROUND INFORMATION WHAT IS GOING ON? CLIMATE CHANGE WARMER - - PowerPoint PPT Presentation
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
EEE31
IOT (Internet of Things) for Optimal Lighting Control in Green Buildings
By : Marcellinus Jerricho Simon Julian Lauw
EEE31
BACKGROUND INFORMATION
WHAT IS GOING ON?
CLIMATE CHANGE
SINGAPORE TWICE AS FAST
WHAT IS SINGAPORE DOING?
BUILDING AND CONSTRUCTION AUTHORITY (BCA)
1. Major buildings to comply to code of practice SS531, which requires them to have:
GREEN MARK FOR NON RESIDENTIAL BUILDING
efficiency. Such as:
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.
ON WELL-BEING
‘Light has an enormous effect on our physical and mental well-being,’ said Stanley Felderman of Felderman Keatinge & Associates.
= GREATER COMFORT AND PRODUCTIVITY
To produce an energy-efficient smart lighting system that increases comfort and user’s productivity through light intensity.
TARGET AREA: OFFICE, RETAIL AND RESIDENTIAL
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
DESIGN
1. Standard Raspberry Pi Display with touch screen. 2. Interface would provide good contrast and adjustable text size ( which comes by default ).
Back Front
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:
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