Automated lighting can achieve significant energy savings. A daylight-artificial light integrated system with the camera as the sensor and Wireless Sensor Actuator Networked (WSAN) system is presented here. The workplane luminance, the window luminance, and the discomfort glare position of the user are extracted from the image of the workspace captured by the camera. The findings of this study are the usage of the camera as luminance meter and how this information is used in the control of LED dimming based on consumer comfort. A novel camera based fuzzy controller for window blind, considering visual and thermal comfort, is designed, based on the parameters extracted from the image, to optimize the illuminance and uniformity for a test space. The control system integrates luminaire and window blind control. The model based design approach provides visual and thermal comfort for the consumer without compromising on energy consumption. The real time implementation of the shading and lighting integrated model, with daylight adaptation and the wireless networked sensor-actuation system is shown in the paper. The performance of the wireless networked lighting scheme is analyzed, by evaluating the energy consumption of the nodes in idle, transmit and receive mode.
All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering