Joule: Difference between revisions
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The web app can be found on the [http://www.cl.cam.ac.uk/meters/index.html Computer Laboratory Meters] page. | The web app can be found on the [http://www.cl.cam.ac.uk/meters/index.html Computer Laboratory Meters] page. | ||
==Using Joule== | |||
The main interface to the electricity data we collect is the [http://www.cl.cam.ac.uk/meters/index.html Joule Web App], which is designed to be used to explore, identify and compare the energy consumption throughout the building, either to aid in the running of the building or to inform the occupants. | |||
The presentation is based on two tree structures: functional and geographic. The same data is presented, only the organisation is different. Clicking on a triangle will expand the tree, exploring by geography or function depending on which is selected. Clicking a square will show the graph for a specific sensor, and clicking a circle will show the graph for the sum of sensors in that section. | |||
Dragging the blue selection box on the lower chart will zoom the time scale for selected data in the chart view, and clicking the blue triangle in the lower left corner expands the time period into the past by one month increments. | |||
The tabs along the top change the information displayed. The '[http://www.cl.cam.ac.uk/meters/tools/wgb-vis/current/stacked.html Stacked]' visualisation uses a similar presentation but is used to give an easier to understand overview of which circuits make up the majority of the energy consumption. '[http://www.cl.cam.ac.uk/meters/tools/wgb-vis/current/sensorinfo.html Sensor Info]' presents a table of all currently used sensors, when their data was last updated etc. This also provides statistics on the number of erroneous readings that have been automatically detected by the data processing scripts. | |||
==Joule Maintenance and Development== | |||
=== [[Joule Web App | Web App]] === | === [[Joule Web App | Web App]] === | ||
Revision as of 12:22, 30 January 2013
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.
The web app can be found on the Computer Laboratory Meters page.
Using Joule
The main interface to the electricity data we collect is the Joule Web App, which is designed to be used to explore, identify and compare the energy consumption throughout the building, either to aid in the running of the building or to inform the occupants.
The presentation is based on two tree structures: functional and geographic. The same data is presented, only the organisation is different. Clicking on a triangle will expand the tree, exploring by geography or function depending on which is selected. Clicking a square will show the graph for a specific sensor, and clicking a circle will show the graph for the sum of sensors in that section.
Dragging the blue selection box on the lower chart will zoom the time scale for selected data in the chart view, and clicking the blue triangle in the lower left corner expands the time period into the past by one month increments.
The tabs along the top change the information displayed. The 'Stacked' visualisation uses a similar presentation but is used to give an easier to understand overview of which circuits make up the majority of the energy consumption. 'Sensor Info' presents a table of all currently used sensors, when their data was last updated etc. This also provides statistics on the number of erroneous readings that have been automatically detected by the data processing scripts.
Joule Maintenance and Development
Web App
To present the data captured by the metering hardware installed into the Computer Lab, we created an app to visualise the energy data of the building. The app presents a hierarchical view of the sensors in the building in both a functional and geographic tree, and allows the user to plot data from individual or groups of sensors, for example; to compare the lighting between corridors, or to find the biggest use of energy by room.
Data Collection
To capture electricity use within the computer lab, we have installed high accuracy electricty monitors on main circuits within the building, and use USB Current clamps to monitor additional sub circuits. This information is logged and stored, for use with the web application.
