This project investigates the use of wood as a scale, so that people in a wood-frame building can be detected in real time (e.g., for intruder detection and energy conservation) and creating "smart" buildings.
The ability of wood to serve as a weight sensor is investigated, with an application being the sensing of people in a wood-frame building. For example, when an intruder enters a wood-frame building, the intruder is sensed due to his weight. In addition, the weight of a room relates to the room occupancy, which can be used to control the heating, cooling, ventilation and lighting for the purpose of saving energy. The use of cameras for room occupancy monitoring is not desirable, due to privacy concerns. Furthermore, cameras have limited fields of view, so the detection of people (e.g., intruders) is not completely reliable. The science behind this ability of wood is based on the effect of load on the capacitance of the wood.
The project outcome will be experimental results on the effectiveness of wood as a weight sensor. The results will include the effect of various load levels on the capacitance of wood. The results will probably be publishable in a professional journal.
|Length of commitment||About a semester (3-5 months)|
|Start time||Fall, Winter, Spring, Summer|
|Level of collaboration||Individual student project|
|Who is eligible||Juniors and Seniors who have taken MAE381|
Once you begin the digital badge series, you will have access to all the necessary activities and instructions. Your mentor has indicated they would like you to also complete the specific preparation activities below. Please reference this when you get to Step 2 of the Preparation Phase.
View the videos listed below concerning smart buildings, smart building materials, and capacitance: