The needs that justify an electrical and computer engineering problem solving effort are the ability to understand electromagnetic concepts. One example of this is getting current readings from a wire. Additionally, computer engineering would be required to use IoT concepts to transfer data from the sensors to a server and an application for a user to see.
Most products tend to measure power flowing to specific outlets by acting as a middle man between the device and outlet itself. For out purposes, a design is required to measure specific rooms within a home's breaker and be installed seamlessly and safely and poses many options. Average Monthly Electricity Bill for NY is $116.70, product is aimed at homes/businesses that wish to monitor their electricity consumption and save money.
Provide homeowners with an app that lets them track power usage at the circuit breaker level in their homes. With a clean and modern app interface, and artificial intelligence, we will help homeowners make informed decisions about energy consumption, and help them become more sustainable while saving money.
The Home Energy Monitor will target residential homeowners in suburban areas, and will be able to accomodate any type of circuit breaker box. The app will use Artificial Intelligence to analyze the data and present it in an easy-to-understand way. The project will be completed by Vasili Karalewich (Electrical Engineering student) and John Li (Computer Engineering Student), at Stevens Institute of Technology in Hoboken, NJ. The product will be tested in various different areas in New Jersey, including the team's homes.
There are four main processes we need to go through to complete the project. The first is hardware development, where we need to create hardware capable of reading power in various different types of breaker configurations, and collect that data real-time and upload it to the app. The second is software development, creating a user-friendly mobile app for iOS and android. Then a testing and iteration process will occur where improvements will be made based on user feedback, and testing will occur for reliability and accuracy. The final step is deployment, with plans to start rolling out the app and product in January.
Homeowners will have be able to have real-time energy data for each circuit in their home
AI driven app will observe usage patterns and suggest efficiency improvements
Increased awareness of energy consumptions in homes will reduce energy bills and create more sustainability all over the world
Production Cost: is $8 per breaker in home, $3 for ESP8266 board, ~$1 wires, resistors, etc.
Product retail price: Free installation and initial cost, $9.99 per month subscription fee (Goal: Money saved through monitoring should outweigh subscription costs)