Proposal topic : analyze 3 different IOT sensor using raspberry PI to collect data. No Format (includes Abstract, Introduction - Overview, Motivation, Related Work, Initial Questions, Data, and the Business Case Evaluation portion of the Methodology): Abstract Introduction Overview, Problem, and Motivation: Provide an overview of the project goals, the value proposition for this project, and the motivation for it. Consider that this will be read by people who did not see your project proposal. Related Work and Audience: Anything that inspired you, such as a paper, a web site, or something we discussed in class. Who is your audience? Who will you show your results? Initial Questions associated with the Industry Problem: What questions are you trying to answer? How did these questions evolve over the course of the project? What new questions did you consider in the course of your analysis? Data being Collected: Source/Sensor, method for collection, storage, fields, unit of measurement, etc. Methodology (Explain the steps in the process to answer your questions.) Business Case Evaluation – Case Study of your Industry Problem Goals (Questions), Processes (Analysis - Python Libraries/functions for Analysis), Materials (Data), Technology (Device, Sensor, Processing/Storage/etc.) Data Identification Data Acquisition (& Filtering) Data Extraction (from sensor to storage mechanism) (Data Validation & Cleansing) Data Aggregation & Representation (Getting your data fit for use) Data Analysis *Data Visualization *Utilization of Analysis Results Analysis (Explain what you actually did with the data?) Exploratory Data Analysis: What did you use to look at your data in different ways? What are the different statistical methods you considered? Justify the decisions you made, and show any major changes to your ideas. How did you reach these conclusions? Final Analysis: What did you learn about the data? How did you answer the questions? How can you justify your answers? Results (Explain what your results were able to show?)   Conclusion               Summarize your contributions.

Abstract:

This project aims to analyze three different Internet of Things (IoT) sensors using a Raspberry Pi to collect data. The project will identify, acquire, extract, validate, cleanse, aggregate, represent, analyze, and visualize the data collected to answer the initial questions about the industry problem. The project will evaluate the business case of the industry problem, the goals, processes, materials, and technology used for the analysis.

Introduction:

The Internet of Things (IoT) has the potential to transform industries by collecting and analyzing data from various sensors. This project aims to analyze three different IoT sensors using a Raspberry Pi to collect data. The project will focus on the identification, acquisition, extraction, validation, cleansing, aggregation, representation, analysis, and visualization of the collected data.

The project's value proposition is to provide insights into the industry problem and identify opportunities for improvement. The project's motivation is to demonstrate the capabilities of the Raspberry Pi and IoT sensors to collect and analyze data.

Related Work and Audience:

This project is inspired by the growing interest in IoT and its potential to transform industries. The audience for this project includes individuals interested in IoT, data analysis, and business case evaluation. The project's results can be shown to industries interested in implementing IoT to collect and analyze data.

Initial Questions associated with the Industry Problem:

The initial questions associated with the industry problem are: What are the key metrics that can be collected using IoT sensors? What insights can be gained from analyzing the data collected?

How can the data be used to improve the industry problem? These questions evolved over the course of the project as the data was collected and analyzed. New questions considered in the course of the analysis include: What are the limitations of the IoT sensors? What are the potential risks associated with using IoT sensors?

Data being Collected:

The data collected includes temperature, humidity, and light intensity. The sensors used to collect the data are the DHT11, BMP280, and BH1750, respectively. The data is collected using the Raspberry Pi and stored in a CSV file.

The fields in the CSV file include the date, time, temperature, humidity, and light intensity. The units of measurement are degrees Celsius for temperature, the percentage for humidity, and lux for light intensity.