Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 84 | Web Based Weather Responsive Window |
Fengling Wang Hanyu Wang Kaishen Wang |
Michael Fatina | appendix0.pdf design_document0.pdf final_paper0.pdf presentation0.pptx proposal0.pdf |
|
| Fengling Wang fwang29 KaiShen Wang kwang40 Hanyu Wang hwang234 Problem: Window is an essential part of our home. Sometimes we open windows to let fresh air come inside the house or to adjust the room temperature, sometimes we close them because of bad weather, like raining, snowing, temperature being too hot or too cold, etc.. One of the problems is that people are not always staying in the house, so people cannot always control the window state. Things can end up not what we want while we are absent in the house. For example, rain damages our treasures through open windows; sunlight and fresh air cannot go into the house in a nice weather day because of closed windows. Solution: We want to have 24/7 control over the windows in our house so that the problems above won’t happen. Our solution is to build a weather responsive window which breaks down to three major components: 1. Cloud based weather receiver, which is a micro-controller integrated with a WiFi receiver. It receives weather data from cloud and controls the window state 2. Window adjustment tool which can push and pull the window. It has a battery and an IF device with highest priority to prevent cat or hands from being damaged. Uniqueness: We thought of installing bunch of sensors on window to detect the current weather around the house, which is a solution proposed by some people before us. Our unique and more advanced approach has two advantages over the former: 1. Accurate - low false positive and false negative rate. Since we get weather information online through reliable source, we can confirm very confidently whether it’s raining or snowing now. Meanwhile sensor can detect the weather falsely just because there’s dirt on it or it’s bad in quality. 2. Cheap, easy to maintain, and predictive. Sensors, especially good sensors are expensive and easy to get damaged. Meanwhile, what we need here is a WiFi receiver and a micro controller, which is cheaper and easy to maintain. Also our system is predictive because it can close the window prior to when the raining happens, while sensors have to detect the raining first and then close the window. So this predictive design can minimize the damage from bad weather to our house. Verification: For testing, we are going to build a simple server which sends fake weather information packets to the system. This can verify how the window will react under most of the weather cases. And this is the same real life situation where the system receives weather info from online authoritative source. |
|||||