High Level Design
Overview
IoT data visualization is becoming an industry-standard almost across the board. IoT analytics allows users to check on their devices and react quickly to incoming data. Embedding IoT data streams into a Sisense dashboard is a great way to close the loop on monitoring your IoT devices and promptly running analytics on the same data.
Goals
Decrease costs by optimizing device activity by monitoring and analyzing energy consumption.
Objectives
- Analyze device behavior to find inefficiencies
- See which devices are unstable
- Stop devices if unexpected energy consumption is detected
KPIs Architecture
|
Objectives |
KPIs |
Measures |
Data Source |
|
Analyze device behavior to find inefficiencies |
Total Energy Consumption |
sum([Power]) Dimensions: device |
IOT Energy |
|
avg Current |
avg([Current]) Dimensions: device |
||
|
avg Voltage |
avg([Voltage]) Dimensions: device |
||
|
avg Frequency |
avg([Frequency]) Dimensions: device |
||
|
See which devices are unstable |
Average Power |
avg([Power]) Dimensions: date, device |
|
|
Average Current |
avg([Current]) Dimensions: date, device |
||
|
Average Voltage |
avg([Voltage]) Dimensions: date, device |
||
|
Stop devices if unexpected energy consumption is detected
|
BloX Webhook to device |
N/A |
Plugins & Scripts
Data Connectors
