Real-Time AQI App using MATLAB and Raspberry Pi
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评估
- 难度
- 5/5
- 预计耗时
- 一周以上
- 新手友好度
- 12/100
- Issue 类型
- 功能
- 描述清晰度
- 需要澄清
- 活跃度
- 冷清
- 技术栈
- matlab, raspberry-pi
- 领域
- cloud, data, embedded-iot
调研方向
The issue links to the project repository and a presentation, but does not identify files, tests, or a specific change to make. Start by reviewing the linked repository and presentation to understand the project; the issue does not define a completion criterion.
由索引模型根据 Issue 内容生成。
描述
Dear Professors,
I would like to share our project developed using MATLAB, Raspberry Pi, and a Nova PM Sensor as part of our academic and practical learning activities in IoT, environmental monitoring, and real-time data analytics.
GitHub Repository:
https://github.com/vedantjoliya/AQI
Project Overview
The primary objective of this project was to design and implement an IoT-based environmental monitoring system capable of continuously measuring and analyzing air quality parameters in real time. The system acquires PM2.5 and PM10 particulate matter data using a Nova particulate matter sensor connected to a Raspberry Pi, while MATLAB is used for data acquisition, processing, visualization, and cloud integration.
The project demonstrates the integration of embedded hardware systems with software-based analytical tools to create a real-time AQI monitoring platform.
Implemented Features
Real-time PM2.5 and PM10 monitoring
AQI calculation and visualization
Raspberry Pi serial communication with sensor hardware
MATLAB-based live dashboard and graphical plotting
Automated Google Sheets cloud logging using Google Apps Script APIs
Continuous real-time environmental data acquisition
Error handling for stable monitoring operation
Technologies Used
MATLAB
Raspberry Pi
Nova PM Sensor
IoT Communication
Google Apps Script
Google Sheets API
Serial Communication Protocols
Learning Outcomes
Through this project, we gained practical experience in:
IoT system development
Embedded sensor integration
Real-time data processing
MATLAB programming and visualization
Cloud-based data logging systems
Hardware-software communication
Environmental analytics and monitoring systems
This project also helped us better understand how intelligent monitoring systems can contribute to smart environmental solutions and real-time analytics applications.
Teammates:
TAUSIF AHMED
DHRUV DANGI
PRIYANSHU VISHNOI
We sincerely thank @MarcoRianiUNIPR, @Asadunipr , @GianlucaMorelliUNIPR, and @AldoCorbelliniUNIPR for their valuable guidance, continuous support, and for providing us the opportunity to present and work on this project.
Thank you.
- 主要语言
- MATLAB
- 星标
- 30
- 派生
- 1
- PR 合并指标
- 30 天内没有已合并 PR
环境准备
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