ArushiSinghal/KCIS

Energy-Monitoring-And-Control

A user application to monitor and control the energy usage in Kohli Research Block, International Institute Of Information Technology, Hyderabad

These instructions will get you a copy of the project up and running on your local machine. You will be able to access, based on your permissions alloted to you, the following features:

HOBOlink graphs	All Users
AC Control	Administrator, Space User
Request For AC Control	Space User
View Temperature	Space User, Administrator
Email Alert	Administrator

It is recommeded that the following two commands are run before installation on Linux:

sudo apt-get update -y
sudo apt-get upgrade -y

Virtual Environment

A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated python virtual environments for them. Virtual Environment should be used whenever you work on any Python based project. And in order to create your virtual environtment follow these steps:

    pip install virtualenv
    virtualenv <Name Of Environment>
    source <Name Of Environment>/bin/activate

Then continue with the following steps to setup and run the application. A referance can be found here

System Requirements

Git

For Linux:

sudo apt-get install git -y
# Configure the username, replace First Last:
git config --global user.name "First Last"
# Configure the email, replace example@example.com:
git config --global user.email "example@example.com"

Intstall and configure git.

Node

For Linux:

curl -sL https://deb.nodesource.com/setup_13.x | sudo -E bash -
sudo apt-get install -y nodejs

The nodejs package has both the node and npm binaries.

How to run npm Behind A Proxy Server

Once you have obtained the proxy settings (server URL, port, username and password); you need to configure your npm configurations as follows.

    npm config set proxy http://<username>:<password>@<proxy-server-url>:<port>
    npm config set https-proxy http://<username>:<password>@<proxy-server-url>:<port>

Proxy can be deleted by running the following commands.

    npm config delete proxy
    npm config delete https-proxy

A detailed referance can be found here

MongoDB

Install the community edition here.

For Ubuntu 16.04 (Xenial) Linux distribution:

    wget -qO - https://www.mongodb.org/static/pgp/server-4.2.asc | sudo apt-key add -
    sudo apt-get install gnupg
    echo "deb [ arch=amd64,arm64 ] https://repo.mongodb.org/apt/ubuntu xenial/mongodb-org/4.2 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.2.list

Issue the following command to reload the local package database and install the latest stable version.

    sudo apt-get update
    sudo apt-get install -y mongodb-org

The following system requirements are for the BACnet backend componant:

Python (2.7.17)

This is the latest Python 2 release and can be installed along with its pip on Linux:

    sudo apt install python2.7 python-pip

Swig

Swig is a compiler that makes it easy to integrate C code with python.

On Linux:

    sudo apt-get install -y swig

sMAP (2.0)

Protocol which easily and quickly exposes and publishes time-series data from a wide variety of sensors simply and flexibly.

On Linux:

    pip install smap

The following system requirements are for the HOBOlink backend componant:

Python(3.X)

On Linux:

sudo apt-get install python3 python3-pip

Setup

To set up the BACnet backend componant follow the following steps:

Library Packages

Install the following libraries using the command given:

    sudo apt-get install build-essential autoconf libtool pkg-config python-opengl python-imaging python-pyrex python-pyside.qtopengl idle-python2.7 qt4-dev-tools qt4-designer libqtgui4 libqtcore4 libqt4-xml libqt4-test libqt4-script libqt4-network libqt4-dbus python-qt4 python-qt4-gl libgle3 python-dev

Now, follow the following steps to set up the BACnet paths:

    cd dass05/src/BACNET/libraries
    sudo cp -r lib32 /
    sudo cp -r libx32 /

To troubleshoot any error refer to this link.

To test if the BACnet scripts can now be run on your system follow the following steps.

cd dass05/BACnet/pybacnet/tools
python bacnet-scan.py

If there are no errors , it means pybacnet and all the dependancies required for BACnet communication have been installed correctly.

To setup the backend HOBOlink componant the following steps must be followed:

Libraries

Install the following libraries using the pip command:

pip3 install beautifulsoup4
pip install pandas
pip3 install requests
pip3 install urllib
pip3 install statistics 
pip3 install matplotlib

Running the application

1. git clone this repository
2. cd dass05/src

Running the Mongo daemon

1. Open the terminal
2. Run:

        sudo mongod
   

Mongo will now be running on port 27017

Running Express

Open a new terminal window (Ctrl + Shift + T) and run the following commands

   cd  react-material-backend
   npm install
   npm start

Running React

Open a new terminal window (Ctrl + Shift + T) and run the following commands

    cd  react-material-frontend
    npm install
    npm start

Navigate to localhost:3000/ in your browser to view and use the application!

The table of AC unit mapping categorised by floors can be found here. There are 77 ACs in the table. 4 ACs under Third Floor, Wing 3 are yet to be mapped. These are AC numbers 74, 75, 76, 77. The AC numbered 27 in Second floor, Wing 2 is not functional.

Important Scripts

BACnet

These scripts can be found at:

    cd dass05/src/BACnet

• bacnet-scan.py: Get the current data of all ACs, thats 28 properties each of 77 ACs.

• changetemp.py: Change temperature of an AC.
  Run as:

      python changetemp.py <AC Number> <Desired Temperature>

• checkstatus.py: Check status of an AC.
  Run as:

      python checkstatus.py <AC Number>

• checktemp.py: Check temperature of an AC.
  Run as:

      python checktemp.py <AC Number>
  

• logdata.py: It logs ACs data when connected to a local mongodb database that is currently set up on the local system at KRB. Data every 10 mins using cronjob syscall and stored it locally.

• off.py: Switch off an AC.
  Run as:

      python off.py <AC Number>
  

• on.py: Switch on an AC.
  Run as:

      python on.py <AC Number> 
  

HOBOlink

These scripts plot data extracted from the Hobolink cloud can be found at:

    cd dass05/src/HOBOlink

• daily_HOBOlink.py: Plots graphs for each of 8 properties using data of the last 24 hours.

• properties_HOBOlink.py: Plots one graph for the past month data of all 8 properties.

• versus_HOBOlink.py: Plots graphs of a combination of two properties using past 24 hours data.

Features

The user can register and login as a space user which means he or she has access rights to his/her floor only.

The user can register and login as a administrator which means he or she has access rights to all floors only.

Social Media Authentication

Athentication via google accounts can be done to log into the dashboard.

HOBOlink graphs

HOBOlink is a web-enabled software platform designed for HOBO RX3000/MicroRX Remote Monitoring Systems and HOBOnet Field Monitoring Systems. Our application retrieves data from the Remote Monitoring System on the roof of the KRB building on campus and plots the past 24 hour data of the 8 available properties: * Wind Direction
* RH * Wind Speed
* Dew Point * Temperature
* Solar Radiation * Battery
* Gust Speed

AC Control

The Admistrator can control the AC of a particular floor as seen below.

Request for AC Control

The space user can place a request to control the AC of a particular floor/wing as seen below.

These request are either granted permission or dismissed by the administrator.

Email Alert

The administrator can send an email alert to the users in the event of overuse/misuse. The email is triggered by a button click.

Further Work

• Automation of email alert based on overuse data
• 3D visualization for the overview of KRB
• Occupancy sensor integration
• WattNode sensor integration

Authors

@SwastikMurawat @JyotiSunkara @FanishJain @SartakPeriwal @PranavTadimeti