srishtihunjan/IoT-RaspberryPi-Weather-Monitoring

IoT-RaspberryPi-Weather-Monitoring

Description

The project was created for EEL5934: IoT Design, Fall 2017 at the University of Florida, to accurately read the temperature and humidity of a small-scale local area using Raspberry Pi 2.

Technology Involved

• Angular 4
• Material Design
• TypeScript
• NodeJs
• MongoDB

Installation

Node v4.2.0

Install node v4.2.0 from https://nodejs.org/en/download/

Mongo

• Follow instructions on https://docs.mongodb.com/manual/tutorial/install-mongodb-on-windows/ to install MongoDB on Windows.

Install Dependencies

• npm install - To install all required node modules

Backend API

• GET users/ - Returns an array of temperature and humidity
• POST users/ - Insert temperature, humidity, year, month, day, hour, city
• GET users/closest - Returns 10 most recent temperature and humidity values recorded.
• GET users/year - Returns temperature and humidity values for the mentioned year (mandatory param) and city (optional param)
• GET users/month - Returns temperature and humidity values for the mentioned month (mandatory param) and city (optional param)
• GET users/day - Returns temperature and humidity values for the mentioned day (mandatory param) and city (optional param)

How To Run

1. npm install - To install all required node modules
2. mongod --dbpath data - To start the Mongo server and store data in the data folder
3. node www - To be run in a separate terminal to start the node server. It runs on port 8000.
4. ng build - To be run in a separate terminal to build the angular app
5. In a browser, go to "localhost:4200" to access the website