machine learning and analytics in the cloud on iot data

1 Copyright© 2013, Intel Corporation. All rights reserved. *Other brands and names are the property of their respective owners.1

Machine Learning and Analytics in the Cloud on IoT Data

Ramesh PeriSr. Principal EngineerIntel CorporationAustin, TX 78746

2 Copyright© 2013, Intel Corporation. All rights reserved. *Other brands and names are the property of their respective owners.

• A typical IoT System

• Characteristics of IoT Data & Machine Learning techniques

• Intel IoTDevkit Overview

• A Complete end-to-end IoT Solution

Agenda


IoT System


A Real IoT System

Solar panels Power Mains

Envoy gatewayfrom enphase

Wifi router and cable modem

Austin energy power meter

Enphase mobile app

Enphase website

Austin energy website






Agenda


Characteristics of IoT Data

Streaming Time Series Data

Inference results in some real-time actuation

Data is Correlated

Lack of training data or Highly Imbalanced data


Machine Learning Techniques for IoT Data

• Rule Based SystemsRB Systems

• One class Support Vector MachinesOCSVM

• Probabilistic Exponentially Weighted Moving AveragePEWMA

Markov Models

….

• Used to predict sequences of events based on historical data




• Intel® IoTDevkit Overview


Agenda


Intel® IoT Platforms in Market today

Name Processor/SoC Target Classification

Galileo (X1000) Quark Maker SBC

Edison Atom Maker SBC

D1000 x86 IoT Edge MCU

D2000 x86 IoT Edge MCU

C1000 Curie (x86 + Arc) IoT Edge MCU++

Arduino101 Curie (x86 + Arc) Maker MCU++

Minnow Board Atom Reference SBC

Joule Atom Maker++/IoT SBC

Gateways from PC OEMs Atom IoT Gateway Gateway

DefinitionsSBC – Single Board Computer with exposed I/OsMCU – MicroControllerMCU++ - MicroController but with more stuffGateway – small form factor PC with no exposed I/Os


• Intel® System Studio IoT Edition

• Intel ® XDK IoT Edition

• Wind River* Helix* Cloud

• MCU development tools

• C, C++, JavaScript, Python, and Java programming language support

Intel® IoTDevKit Overview

Supports Intel® IoT Gateways, Compute Modules, and MCUs with Middleware libraries, tools, and cloud connectors

IoT Cloud and Edge Analytics for data collection, visualization


Intel® IoTDevkit Goals

Good OOB experience

Support for Sensors/Peripherals

Uniform Dev Environment

Robust Developer Ecosystem

Cloud Support


Intel® IoTDevkits

https://software.intel.com/en-us/iot/hardware/edison/dev-kit

https://software.intel.com/en-us/iot/home

Intel® NUC kitThin Canyon

Arduino101

GroveSensor

Kit


mraa.io & UPMAPI providing low-level and high-level wrappers to low-level communication protocols development platforms supporting many OSes

UPM is a software suite supporting over 250 sensors and actuators http://upm.mraa.io


Intel® IoT Developer Kit IDEs

Intel® XDK IoT Edition(Node.js applications)

Intel® System Studio IoT Edition(C, C++, Java applications)


Robust Developer Eco System

Intel® IoT Developer Kit, with easy to use hardware, software, tools, and cloud services.

IoT Roadshows, Hackathons, and Workshops providing hands-on, F2F training and practical experience.

Online communities, for learning, building, and sharing.

● Intel® Developer Zone for IoT

● Partner and 3rd party communities

ISV Enabling to build an ecosystem around the IoT Platform.

Intel® IoT Developer Program is a comprehensive program for makers, hobbyists, as well as professional developers, offering tools, kits, knowledge, and a community of experts to help you quickly and easily turn your innovative ideas into commercial IoT solutions.

Dream it, Build it with Intel® IoT


Cloud Services on Intel® IoT Platforms

• Cloud Connector Recipes & Package (RPM)

• Cloud enabled kits for good OOB experience

• https://www.seeedstudio.com/Grove-IoT-Commercial-Gateway-Kit-p-2724.html

• https://www.seeedstudio.com/Grove-IoT-Developer-Kit-Microsoft-Azure-Edition-p-2631.html?ref=newInBazaar

• https://www.amazon.com/dp/B0168KU5FK

• Tools integration

• Sample Projects

Cloud Services for Intel® IoT Platforms include the following:






Agenda


A Complete end-to-end IoT Solution

Develop a setup where temperature sensor data is plotted in the cloud and when the temperature goes above a certain value

send out an email


The Architecture

Temp Sensor EdisonATT Cloud

Sensor physically connected to Edison Analog port

• Time series sensor datam2x

• Node-red based flowsflow


On Intel ® Edison


Setup the cloud service

• Open an account at developer.att.com

• This will create accounts for you at

• m2x.att.com (a time series database service)

• flow.att.com (a cloud service programmable in node-red visual language)

• Setup m2x

• Edison device in m2x.att.com

• Add a stream to it called Temperature

• Make a note of deviceid and apikey


Node Flow on Flow DesignerFrom previous slide


Spin up the service in flow Pressing this will spin up a machine in cloud with appropriate services

After a few mins (some times it may take longer) a machine instance is created for you at bottom you will see the details

This goes into the node-red programon Edison in node send-to-cloud


View in m2x after data gets streamed into cloud


Add a trigger in m2x to detect hightemp condition

A simple rule based system usinga threshold value


Flow to handle the Trigger from m2x


Summary

New opportunities for Machine Learning at Cloud and Edge of IoT Systems

Collect and send to cloud

Massage the data in Cloud

Send to storage

Apply ML Model to detect

anomaly and notify cloud

Cloud takes needed action


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machine learning and analytics in the cloud on iot data

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