Introduction to WattDepot
Upcoming SlideShare
Loading in...5

Introduction to WattDepot



A brief overview of WattDepot, a system for collection, storage, analysis, and visualization of energy data.

A brief overview of WattDepot, a system for collection, storage, analysis, and visualization of energy data.



Total Views
Views on SlideShare
Embed Views



1 Embed 4 4



Upload Details

Uploaded via as Microsoft PowerPoint

Usage Rights

CC Attribution License

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
Post Comment
Edit your comment

Introduction to WattDepot Introduction to WattDepot Presentation Transcript

  • WattDepot: A software ecosystem for energy data collection, storage, analysis, and visualization Robert S. Brewer, Philip M. Johnson Collaborative Software Development Laboratory Information and Computer Sciences Dept University of Hawaii at Manoa
  • Motivation
    • Research on changing energy use behaviors
      • Need to collect & analyze energy data
    • Requirements
      • Collect data from many meters
      • Sub-minute data collection
      • Easy to simulate sensor data
      • Internet-accessible repository
      • Visualization variety & flexibility
      • Open source
    • Could not find an existing solution
      • Developed WattDepot
  • Architecture Devices Meters WattDepot Sensors WattDepot Server WattDepot Clients HTTP HTTP
  • Sensors
    • Software to collect data
      • Interface to specific meters
      • Store data in server via HTTP
    • Designed for flexibility
      • Encapsulates vendor-specific code
      • Any platform or language
      • Just needs to output XML over HTTP
    • Current implementations
      • TED 5000 home energy meter
      • Veris power meters
      • Modbus/TCP meters
    Sensors Server Clients
  • Servers
    • Central data repository
      • RESTful HTTP API
      • Pluggable back-end database
      • Data represented as XML or JSON
      • Devices represented as Sources
    • Server-side capabilities
      • Aggregation of sources (virtual sources)
      • Data interpolation
    Sensors Server Clients
  • Servers: Virtual Sources
    • Virtual sources combine sub-sources
      • Maps real-world entities to system
      • Hierarchy can be multi-level
    • But meter clocks may not be synchronized
    Saunders Hall Floor 2 North Saunders Hall Floor 2 South Saunders Hall Floor 2 Saunders Hall
  • Servers: Timestamp Problem
    • Unsynchronized clocks cause problems
      • Naïve data comparison difficult
  • Servers: Data Interpolation
    • Data resampling at arbitrary times
      • Linearly interpolate between data points
      • Solves timestamp problem for virtual sources
  • Clients
    • Data extraction & visualization
      • Any platform or language
      • Using REST or Google Visualization APIs
    • Current implementations
      • Real-time monitors
      • Charts
      • Geographic visualizations
      • Android mobile application
      • All independent of data input source
    Sensors Server Clients
  • Clients: Heatmap and Gauge
  • Clients: GeoMap
  • System Availability
    • Hosted on Google Code
      • Open source under New BSD license
    • Discussion list