Just a quick update, since the last time I mentioned our system the
dashboard was still rather rough. Since then I have added a better UI,
exposed the live data more, added little JQuery graphs along with
history and CSV export. All that in 1 week worth of evenings - isn't
Please check out the dashboard and drop me an email if your company
wants to cut its power bill by 10 - 20% through monitoring its power
Could someone add me to the projects page? You could use the above link
and the following text
Gridspy - Live power monitoring and analysis
The Nexus costs $685 USD, monitors 3 different circuits and uplinks
collected data to the site via ethernet. We also have a wireless device
called the Gridspy that costs $495 USD, monitors 6 circuits (or a
variety of other things) and talks to the Nexus wirelessly to upload
More info on the devices here:
Any comments, questions or suggestions are welcome.
I would like to introduce my project for the
page. We use
twisted as the central server that talks to many power measurement
sensors in the field.
Gridspy provides you with an interactive view of resource usage in your
building. It gives you hard data on your consumption patterns and helps
you to make informed decisions.
The Gridspy allows you to access and monitor your consumption patterns
in real-time using a standard web browser on your PC, laptop or mobile
phone. The data is presented in high resolution and updated each second
as you watch. The moment a light is turned on in your house, you can
see the change on your Gridspy dashboard from across the room or across
Our homepage is here http://www.gridspy.co.nz/
a running demo is here http://your.gridspy.co.nz/powertech
And you can read more about the role of our twisted backend here:
... The nexus then collects those sensor samples from the nearby
bundles it up with its own data and uploads it to our central servers.
collect the data we use a custom application written using the
framework. Every single
reading gets instant attention: it is
evaluated for real-time events, queued to be stored in the database and
finally forwarded to watching dashboard users. Processing the data
on the server opens up many exciting possible features that I look
discussing in future blog posts. By the time that the sample reaches
server, it is about 0.2 seconds old. ...
It has been a great framework to work with. My sincere thanks goes to
everyone who has ever contributed to this project. Job very well done!