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TRANSCRIPT
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
