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IoT, Making it Smart !

Roger Hacking

TMC Electronics, V21

4 June 2015

Contents

> Introduction TMC

> IoT Architecture

>Challenges to make it Smart

>Examples of IoT

– Automotive

– Domotica

>Smart !

TMC Group

> TMC Group (700 FTE), Entrepreneurial Technology house, multi-

disciplines, 2 locations in Netherlands, 1 in Belgium, 1 in France

> Services: in-sourcing, consultancy and projects

> Involved in Productdevelopment, from Research till Mass Production

> People Drive Technology

TMC Electronics

> TMC Electronics (56 FTE)

> Services: Chip, Board and System Level

> Involved in Productdevelopment, from Research till 0-series

Customers

Internet Usage and Population

Characteristics

Event Driven

Ambient Intelligence Flexible

Structure

Big Data

Security

Technical Perspective

Management Layer

Network Layer

Sensor Layer

Application Layer

HW+SW

SW

Architecture of IoT

Application Layer

Management Service Layer

Network Layer

Sensor Layer

Sensor Layer

Lowest Abstraction Layer

Incorporated to measure physical quantities

Interconnects the physical and digital world

Collects and process the real time information

Application Layer

Management Service Layer

Network Layer

Sensor Layer

Network Layer

Robust network infrastructure

Supports the communication requirements

for latency, bandwidth and security

Smart Algorithms or Ambient Intelligence

for first processing of sensor data

Allows multiple organizations to share and

use the same network independently

Application Layer

Management Service Layer

Network Layer

Sensor Layer

Capturing of periodic sensory data

Data Analytics (Extracts relevant information

from massive amount of raw data, Big Data)

AI combine and process Big Data

Streaming Analytics ( Process real time data)

Ensures security and privacy of data.

Management Layer

Application Layer

Management Service Layer

Network Layer

Sensor Layer

Provides a user interface for using IoT.

Different applications for various sectors

like Automotive, Healthcare, Agriculture,

Home Automation, Supply chains,

Government, Retail etc.

Application Layer

Ambient Intelligence Challenge

AI Challenge, making it Smart • Sensors generate huge amount of raw data, we need smart algorithms

in the network layer, but:

• algorithms have to use limited resources

• need to be power efficient

• Sometimes has to run on a battery for a long time

• have limited wireless bandwidth

• need to be realtime

• eg one car generates with it’s sensors 3-5Gb/hour of raw data, but

what do you transmit ?

• It’s not only hardware and embedded software, but multi-

disciplinary system approach

Smart Cars

Generate from models &

simulations

• In the management Layer data is combines

many many sensors and data of other sources,

like databases or Internet, is used, but:

• algoritms need to be smart and cope with

huge amount of data running on servers

• Combination of all kind of data leads to

new applications / insight

• Processing to the user, needs to be fast

and the amount of data should be limited, It

should be of value

• It’s not only software, but multi-

disciplinary

30.000 sensors HVAC

6000 Light devices

Smart ???

To develop AI or Smart Algoritms

> Multi discipline system view

> Strong and in depth knowledge of at least 1 technical discipline

> Communicate with other disciplines and have global knowledge of these disciplines

> Is focused on System Development and Engineering and Integration and Useability

> Is focused on the Why of the customer and is able to translate this into solutions (What and

How)

> TMC helps you to innovate in IoT

> Partnerships on Industrial Design and other areas

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MAT-----PHY----MEC --- MECH------SW

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Questions

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Visit us at Dev Club 8A030

See also www.tmcporch.com Roger.Hacking@tmc.nl