Introduction
Problematic
One of the most important factors in conducting scientific experiments is ensuring that the environmental conditions are stable and within the desired range. Changes in temperature, humidity, and other environmental factors can significantly affect the results of an experiment, leading to inaccurate or unusable data.
My Project
Title
The name of my project is Pi-Sense: A Raspberry Pi-based Environmental Monitoring System for Scientific Experiments.
Solution
The purpose of my project is to provide scientists with a tool to monitor and control the environmental conditions in which their experiments take place, using a system that includes temperature, humidity, flame, movement, and light sensors, as well as a ventilation system, all connected to the Raspberry Pi.
The Pi-Sense will be housed in a compact, custom-designed case, with the Raspberry Pi board and sensors mounted inside. The sensors will be placed strategically within the environment to monitor the conditions, and the ventilation system will be designed to control those conditions as needed. The Raspberry Pi will be programmed to collect data from the sensors, analyze it, and display it in a user-friendly interface for the scientists to monitor.
(Note: the image shown was generated with AI to exemplify the project and have a broad idea of what the project will be like. Real photos will be shown in subsequent blogs).
Expected Results
- Scientists will be able to use the environmental monitoring system to better understand the conditions in which their experiments are taking place, which could lead to more accurate results and better insights.
- The system will enable scientists to quickly detect and respond to changes in the environment that could affect their experiments, such as changes in temperature or air quality.
- The user-friendly interface will make it easy for scientists to access and analyze environmental data and could potentially save them time and effort compared to manual data collection and analysis.
- By using the Raspberry Pi and compatible sensors, the system will be low-cost and easy to set up, making it accessible to a wide range of laboratories and researchers.