IOT Live Energy Dashboard

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

Implementation
Kit

The following resources will enable you to design your dashboard and data model with sample data and then apply it to your own data. Note that you will need to have a previously installed version of Sisense (you can use the free trial version if you’re not a customer).

Department

Role

Data Connectors

KPIs