Project

# Title Team Members TA Documents Sponsor
50 Urban Noise Pollution Monitoring System
 Cj Kompare
Cornell Horne
Marc Rhymes
 Surya Vasanth design_document2.pdf
final_paper1.pdf
photo1.png
photo2.png
presentation1.pdf
proposal2.pdf
video
# Urban Noise pollution Monitoring system

Team Members:
- CJ Kompare (kompare3)
- Cornell Horne (chorne7)
- Marc Rhymes (mrhymes2)



# Problem:
Cities face escalating issues related to noise pollution, affecting the well-being of residents and the environment. Traditional methods of noise monitoring lack granularity and real-time adaptability, hindering effective intervention strategies.

# Solution:
Develop a comprehensive Urban Noise Pollution Monitoring System that employs wireless, battery-powered microphones strategically placed outdoors. This system will utilize a concentrator or gateway to collect and process data from distributed microphones, providing accurate and real-time noise pollution insights for urban planning and environmental conservation.

# Solution Components:

- Wireless, Battery-Powered Microphones
- Concentrator/Gateway Device
- Centralized Data Processing Platform
- Geographic Information System (GIS)
- User Interface (Web Application)

# Subsystem 1: Wireless, Battery-Powered Microphones:
Deploy multiple wireless, battery-powered microphones an area to capture diverse noise sources. Ensure these microphones are durable, weather-resistant, and equipped with noise level sensing capabilities.

# Subsystem 2: Concentrator/Gateway Device:
Implement a concentrator or gateway device to receive, aggregate, and forward data from all distributed microphones. This device will serve as the central hub for data collection and transmission.

# Subsystem 3: Centralized Data Processing Platform:
Develop a centralized platform for processing and analyzing noise data received from the concentrator. This platform will perform real-time noise level calculations, identify patterns, and store historical data for future analysis.

# Subsystem 4: Geographic Information System (GIS):
Integrate a GIS component to map noise levels spatially, allowing for visual representations of noise distribution across the city. This would enhance and support targeted noise reduction initiatives.

# Subsystem 5: User Interface (Web Application):
Develop a web application for users to visualize noise data. The interface should provide real-time updates, historical trends, and customizable features for specific areas of interest.

# Criteria for Success:

Hourly Data Reporting: The system should successfully report noise data to the central web application every hour, providing a consistent and reliable stream of information for analysis and decision-making.

Real-time Monitoring: Achieve real-time noise level monitoring with a latency of no more than 5 minutes, ensuring users have timely access to critical noise pollution information.

Accuracy of Noise Identification: Ensure an accuracy rate of at least 90% in identifying noise sources, allowing for precise insights into the types and sources of noise affecting urban areas.

Low Cost Distributed Battery Management System

Logan Rosenmayer, Daksh Saraf

Low Cost Distributed Battery Management System

Featured Project

Web Board Link: https://courses.engr.illinois.edu/ece445/pace/view-topic.asp?id=27207

Block Diagram: https://imgur.com/GIzjG8R

Members: Logan Rosenmayer (Rosenma2), Anthony Chemaly(chemaly2)

The goal of this project is to design a low cost BMS (Battery Management System) system that is flexible and modular. The BMS must ensure safe operation of lithium ion batteries by protecting the batteries from: Over temperature, overcharge, overdischarge, and overcurrent all at the cell level. Additionally, the should provide cell balancing to maintain overall pack capacity. Last a BMS should be track SOC(state of charge) and SOH (state of health) of the overall pack.

To meet these goals, we plan to integrate a MCU into each module that will handle measurements and report to the module below it. This allows for reconfiguration of battery’s, module replacements. Currently major companies that offer stackable BMSs don’t offer single cell modularity, require software adjustments and require sense wires to be ran back to the centralized IC. Our proposed solution will be able to remain in the same price range as other centralized solutions by utilizing mass produced general purpose microcontrollers and opto-isolators. This project carries a mix of hardware and software challenges. The software side will consist of communication protocol design, interrupt/sleep cycles, and power management. Hardware will consist of communication level shifting, MCU selection, battery voltage and current monitoring circuits, DC/DC converter all with low power draws and cost. (uAs and ~$2.50 without mounting)