Remote-sensor-network

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Revision as of 22:17, 26 November 2015 by Kanz (talk | contribs) (Installation Instructions)
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thumb‎ Embedded Linux Class by Mark A. Yoder


Team members: (Sensor Team 02) Kansul Mahrifa, Ahmed Karanath and Thejas Babu.

Grades

00 Executive Summary
00 Installation Instructions 
00 User Instructions
00 Highlights
00 Theory of Operation
00 Work Breakdown
00 Future Work
00 Conclusions
00 Demo
00 Not Late
Comments: I'm looking forward to seeing this.

Score:  00/100

(Inline Comment)

Executive Summary

Want to know what temperature is it outside? Or wether you need your coat/sunglasses when you go out? The Weather Station Project collects weather info from locations around the Kamand campus and gives real-time insights. Know how warm it is in the mess, or how hot it is in the boy's hostel. A variety of sensors (temperature, humidity, carbon monoxide concentration, et cetera) are interface with a Beagle bone, which sends the data to the cloud.


This project is mainly focused on the sensors for gathering weather related information. The primary objectives include sensing the weather related information in and around the campus and transmitting the collected information to the server.

Packaging

These are the hardware used for this project:

  1. Beagle bone black - http://beagleboard.org/BLACK
  2. Temperature and humidity sensor(HTU21D) - https://www.sparkfun.com/products/12064
  3. Carbon monoxide concentration sensor (MQ7) - https://www.sparkfun.com/products/9403
  4. Barometric pressure sensor (BMP180) - https://www.sparkfun.com/products/11824
  5. Realtek WiFi module (RTL8188CU) - http://www.ebay.com/itm/Realtek-RTL8188cus-USB-USB2-0-150Mbps-802-11b-g-n-n-Wireless-WiFi-adapter-dongle-/230973235744
  6. Breadboard, a couple of wires and resistors.

Installation Instructions

If you are using the bone for the first time, refer the Beginner's Guide for detailed instructions on how to setup your Beaglebone,


1. Setting up Proxy (Skip this step if you have a direct connection to the internet)

Any installation or downloads are done via the proxy server, so remember to set the proxy in your BeagleBone(after you install Debian) and host machine. Add the following lines in /etc/environment

http_proxy="http://10.8.0.1:8080"
https_proxy="http://10.8.0.1:8080"

This is the proxy server in IIT Mandi. Set it to point to the proxy server of your university.


2. Installing Debian
This project uses a BeagleBone Black running Debian Wheezy. For instructions on how to install, follow the instructions here


3. Installing required Modules
For cloud connectivity, install the 'require' module on the host by running

npm install -g require


That's all we need to get started!

User Instructions

The user instructions would follow subsequently after having the installation file and procedure setup.


Highlights

In a vast campus like ours, seldom are the temperature readings consistent at different places. Hence, it is our objective to gather weather inputs at several points in the campus and then deduce the mean of these readings to get a generalized value.

In addition to this, we are interested in generating the statistical figures such as standard deviations and graphs for the weather changes, in the campus.


Theory of Operation

The theory of operation relies wholly on the operation of the individual components of the project, in this case, on the individual sensors and the wifi module.

The individual sensors detect data and sends it to the Beaglebone. The bone then transforms this data into a suitable format and uploads it to a central server.


Work Breakdown

Major tasks:

1) Interfacing the sensors to the Beaglebone

2) Setting up sensors in specified locations

3) Sending gathered data to centralized server - work with server team

4) Documentation of project


Tasks 1 and 4 are ongoing as of now. Tasks 2 and 3 will be done on completion of task 1.


Future Work

We would try and install a suitable set-up for measuring the wind speed in the campus.The setup could be located on the rooftop of any tall building, like the academic building or the faculty quarters. Another suggestion is using the soil moisture sensor along with the sensor network to predict when plants need watering, and to keep a check on it.


Conclusions

As of now, we have done the groundwork to deal with the sensors and wifi module handed over to us. In the near future, we are planning to install sensor apparatus in a few locations in the campus.





thumb‎ Embedded Linux Class by Mark A. Yoder