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Joule is a collection of scripts and a HTML Web App to record and visualise the energy use of a collection of sensors, currently the sensors within the William Gates Building at The University of Cambridge. It provides a tool to explore a tree of sensors, drill down to interesting areas based on geography or energy use such as lighting or server power, and plot charts over a range of time, helping to identify both short and long term patterns.
Joule is a collection of scripts and a HTML Web App to record and visualise the energy use of a collection of sensors, currently the sensors within the William Gates Building at The University of Cambridge. It provides a tool to explore a tree of sensors, drill down to interesting areas based on geography or energy use such as lighting or server power, and plot charts over a range of time periods, helping to identify both short and long term patterns.


System overview in more detail with links to specifics


=== Web App ===
=== [[Joule Web App | Web App]] ===
* Introduction of what app does.


* Overview of architecture of app


* Frameworks etc used within the app, such as Protovis for graphing, Bootstrap for HTML layout.
[[Joule Web App | More info...]]


* Description of data-flow through app from JSON -> graphics
  * Explanation of javascript classes
  * What is need to set-up, test code etc.
* link to code on Github


=== Data Collection ===
=== Data Collection ===

Revision as of 15:49, 28 January 2013

Joule

Introduction to system

Joule is a collection of scripts and a HTML Web App to record and visualise the energy use of a collection of sensors, currently the sensors within the William Gates Building at The University of Cambridge. It provides a tool to explore a tree of sensors, drill down to interesting areas based on geography or energy use such as lighting or server power, and plot charts over a range of time periods, helping to identify both short and long term patterns.


Web App

More info...


Data Collection

  • Introduction of data sources
  • Overview of different type of meter, architecture of collection hardware
  • Description and location of data, JSON format etc.
  • Description of Python code for generating index of JSON files, error detection etc.