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 Python great?

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 usage:

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 data.

More info on the devices here:

Any comments, questions or suggestions are welcome.



My previous email:

Hi Everyone

I would like to introduce my project for the http://twistedmatrix.com/trac/wiki/ProjectsUsingTwisted 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 the planet.
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: http://blog.gridspy.co.nz/2009/10/realtime-data-from-sensors-to-browsers.html

... The nexus then collects those sensor samples from the nearby Gridspies, bundles it up with its own data and uploads it to our central servers. To collect the data we use a custom application written using the excellent Twisted 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 stream live on the server opens up many exciting possible features that I look forward to discussing in future blog posts. By the time that the sample reaches the 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!