Open Source AI Project

rpi-environmental-sensing

An open-source system built with Raspberry Pi Zero W for domestic environment sensing, including temperature, humidity, and particulate matter.

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This GitHub project is centered around creating an open-source environmental sensing system using the Raspberry Pi Zero W, a compact yet powerful version of the Raspberry Pi that offers wireless connectivity. The project aims to monitor various environmental parameters within domestic settings, focusing on temperature, humidity, and particulate matter levels. These parameters are crucial for maintaining a healthy and comfortable living environment, as they can affect both health and wellbeing.

The system is designed to collect data on these environmental factors and then report the findings to two types of data handling services. First, it supports integration with MySQL, a popular relational database management system. This allows for the storage, retrieval, and management of the collected environmental data over time in a structured database. Users can analyze this data to identify trends, patterns, or changes in the domestic environment, which could indicate the need for adjustments or interventions to maintain optimal living conditions.

Second, the system also supports reporting to an MQTT broker. MQTT (Message Queuing Telemetry Transport) is a lightweight messaging protocol designed for low-bandwidth, high-latency or unreliable networks, making it well-suited for IoT (Internet of Things) applications like this project. By using MQTT, the system can publish the collected environmental data to different subscribers over the internet in real-time. This means users can receive instant updates on their environment’s status through various devices and applications subscribed to the MQTT topic, enabling timely responses to any detected changes in environmental conditions.

Overall, this project leverages the compact and efficient Raspberry Pi Zero W to provide a versatile and accessible solution for monitoring key environmental parameters in homes. By supporting data reporting through both MySQL and MQTT, it offers flexibility in how data is stored, managed, and accessed, catering to different user needs and preferences for data analysis and monitoring.

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