Colorado State University ECE561 Remotely Accessible Power Monitoring Unit

1. - Ryan Nash
- Jacob Thornton

2. Overview
 Initial idea and design
 Hardware selection and implementation
 Software selection and implementation
 Web interface
 Future improvements
 Marketability
 A sad day…

3. Idea and Design
 Power awareness
 Reduce power consumption
 Lowered cost
 Accessible from anywhere
 Mobile and PC
 Other features
 Device switching
 Scheduling
 Power usage plotting
 User Friendly

4. Hardware Selection and
Implementation
 Kill-A-Watt
 Power sampling
 Digispark
 Analog-to-Digital conversion
 Data Gathering
 Raspberry Pi
 Data consolidation, processing,
and storage
 Host web page
 WiFi dongle

5. Physical Build

6. Software selection and
Implementation
 C
 Place ADC data into array
 Send over USB to Raspberry Pi
 Python
 Gather ADC data
 Process ADC data
 Store voltage and current
measurements in database
 Web2Py
 Web framework
 Manage Database



Power Measurements
Scheduling
Status
 Host administration interface
 Javascript
 Kendo UI
 Highcharts
 Custom

7. Web Interface

8. Web Interface

9. Web Interface

10. Data Handling & Processing
 Ten samples per second
 Voltage and Current
 JSON Formatting
 Timestamp key

Voltage-Current pair
 Five minute segments
 Stored in unique log file
 Compute power average
 From RMS voltage and current
 Store result

11. Future Improvements
 Implement safe switching circuitry
 Simplify setup process
 Implement security features
 Multiple devices on network
 Additional accessories

12. Marketability
 Accessory to Kill-A-Watt
 Require only 3 external contacts
 Connect via pogo pins
 Custom casing
 Switching circuitry
 Raspberry Pi & Digispark
 Affordable
 Currently only $80
(including Kill-A-Watt)

13. Conclusion
 Successful
 Power sampling
 Data processing and storage
 Web interface
 Scheduling
 Unsuccessful
 Actual power switching
 Live demo