Project

# Title Team Members TA Documents Sponsor
57 Consumer device which indicates real-time signals [Pitched Project]
 Bipin Ghimire
Brian Oh
Sakar Karki
 Jialiang Zhang
#Problem: The urgent challenge of climate change has driven focus on energy production's carbon intensity. Yet, the real-time carbon impact of electricity consumption remains obscure to consumers. Existing models do not provide instantaneous feedback on the carbon intensity (CO2e/MWh) of electricity from local grids. This gap prevents consumers from making informed decisions to reduce their carbon footprint actively.

#Solution We propose a real-time carbon intensity indicator for residential consumers. This device will visually and audibly alert users to the current and changing carbon intensity of their local grid's electricity. The product will leverage this data to prompt automated energy consumption reduction during high grid strain or suggest energy-efficient appliances.

The pitch states “the function would be to get a residential electricity consumer to see and hear an indicator, whether via light, notification popup, or a sound which alerts them to either a current state or a changing state of real-time carbon intensity on their local grid. As the basic device matures, the business would be built around using this information to automate reductions in energy consumption overall or at times of grid strain, or identify more energy efficiency appliances, both with direct carbon reduction impacts.” Green, yellow, and red LEDs to show good, OK, bad, and a similar set of sounds. The product is wifi-enabled wall plug with a light and speaker controlled by a small circuit.

#Solution Components ##Subsystem 1: Real-Time Data Acquisition and Communication This subsystem will acquire real-time carbon intensity data from sources like ElectricityMaps, WattTime, and similar services. It will use the Wi-Fi module (ESP32) to fetch and communicate data to the indicator.

##Subsystem 2: User Interface Indicator Involves a set of LEDs (Green, Yellow, Red) and a speaker to provide visual and auditory feedback based on the real-time data. Part numbers: Green LED (WP710A10SGC), Yellow LED (WP710A10SYC), Red LED (WP710A10SRC), and a small speaker (CUI CMS-0361KLX). It will also provide a potential user input button (MDPSLFS) to trigger and automate energy-saving actions.

##Subsystem 3: Control and Automation Logic This will use a microcontroller (ESP32P) to process the data and control the LED and sound alerts. It will also interface with home automation systems to control energy consumption based on carbon intensity. AC prongs (Q-910) will also be used to be able to plug the device into the power outlet for power data and as a power source.

#Criterion For Success Our project's success will hinge on the following testable goals:

Accurate display of real-time carbon intensity with less than a 60-second lag from the data source. The ability to trigger and automate energy-saving actions in response to high carbon intensity readings. User-friendly interface that clearly communicates the current state and changes in carbon intensity to the consumer.

Electronic Replacement for COVID-19 Building Monitors @ UIUC

Patrick McBrayer, Zewen Rao, Yijie Zhang

Featured Project

Team Members: Patrick McBrayer, Yijie Zhang, Zewen Rao

Problem Statement:

Students who volunteer to monitor buildings at UIUC are at increased risk of contracting COVID-19 itself, and passing it on to others before they are aware of the infection. Due to this, I propose a project that would create a technological solution to this issue using physical 2-factor authentication through the “airlock” style doorways we have at ECEB and across campus.

Solution Overview:

As we do not have access to the backend of the Safer Illinois application, or the ability to use campus buildings as a workspace for our project, we will be designing a proof of concept 2FA system for UIUC building access. Our solution would be composed of two main subsystems, one that allows initial entry into the “airlock” portion of the building using a scannable QR code, and the other that detects the number of people that entered the space, to determine whether or not the user will be granted access to the interior of the building.

Solution Components:

Subsystem #1: Initial Detection of Building Access

- QR/barcode scanner capable of reading the code presented by the user, that tells the system whether that person has been granted or denied building access. (An example of this type of sensor: (https://www.amazon.com/Barcode-Reading-Scanner-Electronic-Connector/dp/B082B8SVB2/ref=sr_1_11?dchild=1&keywords=gm65+scanner&qid=1595651995&sr=8-11)

- QR code generator using C++/Python to support the QR code scanner.

- Microcontroller to receive the information from the QR code reader and decode the information, then decide whether to unlock the door, or keep it shut. (The microcontroller would also need an internal timer, as we plan on encoding a lifespan into the QR code, therefore making them unusable after 4 days).

- LED Light to indicate to the user whether or not access was granted.

- Electronic locking mechanism to open both sets of doors.

Subsystem #2: Airlock Authentication of a Single User

- 2 aligned sensors ( one tx and other is rx) on the bottom of the door that counts the number of people crossing a certain line. (possibly considering two sets of these, so the person could not jump over, or move under the sensors. Most likely having the second set around the middle of the door frame.

- Microcontroller to decode the information provided by the door sensors, and then determine the number of people who have entered the space. Based on this information we can either grant or deny access to the interior building.

- LED Light to indicate to the user if they have been granted access.

- Possibly a speaker at this stage as well, to tell the user the reason they have not been granted access, and letting them know the

incident has been reported if they attempted to let someone into the building.

Criterion of Success:

- Our system generates valid QR codes that can be read by our scanner, and the data encoded such as lifespan of the code and building access is transmitted to the microcontroller.

- Our 2FA detection of multiple entries into the space works across a wide range of users. This includes users bound to wheelchairs, and a wide range of heights and body sizes.