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3.2 Simple sensors: case ‘smart metering’
CONFIDENTIAL
1
Template presentation Innovation Day 2016CONFIDENTIAL
TRACK 3: EVOLVING ARCHITECTURES
Rudy Van Raemdonck
Coordinator EmbeddedLab
rudy.vanraemdonck@verhaert.com
SIMPLE SENSORS
CASE ‘SMART METERING’
3.2 Simple sensors: case ‘smart metering’
CONFIDENTIAL
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A SIMPLE CAR PARKING SENSOR ...
https://www.youtube.com/watch?v=Wkvy0GtJE2E
3.2 Simple sensors: case ‘smart metering’
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CONTENT
Case: GecoSense
Challenges in sensor development
Evolving architectures and sensor development
Conclusions and food for thought
3.2 Simple sensors: case ‘smart metering’
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CASE: GecoSense
A retrofittable energy measuring sensor
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BOXX - ENGIE’S SMART THERMOSTAT SOLUTION
https://www.engie-electrabel.be/nl/particulier/boxx-besparen-energie-verbruik-thermostaat
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GECOSENSE – SYSTEM OVERVIEW
Retrofittable energy meter sensor
Interface box (existing)Wireless link
BOXX intelligent thermostat
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• Count disk revolutions of installed energy meters
(Ferraris type)
• In both directions (energy consumption and
production)
• Without intrusion of the meter cabinet (sealed)
• And fully removable
• That interfaces to the BOXX thermostat
• Consumes less than 1W
• Is low cost (including installation)
• And can be launched within a period of 9 months
GECOSENSE - BASIC REQUIREMENTS
3.2 Simple sensors: case ‘smart metering’
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CHALLENGES IN SENSOR DEVELOPMENT
Why is sensor development complexity underestimated?
3.2 Simple sensors: case ‘smart metering’
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SENSORS ARE EVERYWHERE …
3.2 Simple sensors: case ‘smart metering’
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... ON (IN) OUR BODY
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... IN OUR HOMES/WORKING PLACES
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... IN OUR CITIES
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A MYRIAD OF SENSORS
Source : IBM Canada
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… AND NOWHERE!
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CAR SENSORS - WHERE ARE THEY?
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CAR SENSORS – TYPICAL LIST
Engine Coolant Temperature
Fuel Pressure (Gauge)
Intake Manifold Absolute Pressure
Engine RPM
Vehicle Speed Sensor
Ignition Timing Advance for #1 Cylinder
Intake Air Temperature
Air Flow Rate from Mass Airflow Sensor
Absolute Throttle Position
Oxygen Sensor 1 Bank 1
Oxygen Sensor 2 Bank 1
Oxygen Sensor 3 Bank 1
Oxygen Sensor 4 Bank 1
Oxygen Sensor 1 Bank 2
Oxygen Sensor 2 Bank 2
Oxygen Sensor 3 Bank 2
Oxygen Sensor 4 Bank 2
Distance Traveled
Fuel Rail Pressure Relative to Vacuum
Fuel Rail Pressure
Fuel Level Input
EVAP System Vapor Pressure
Control Module Voltage
Catalyst Temperature Bank 1 Sensor 1
Catalyst Temperature Bank 2 Sensor 1
Catalyst Temperature Bank 1 Sensor 2
Catalyst Temperature Bank 2 Sensor 2
Absolute Load Value
Relative Throttle Position
Ambient Air Temperature
Accelerator Pedal Position D
Accelerator Pedal Position E
Accelerator Pedal Position F
Road condition sensor
Magnetic sensor
Vehicle distance sensor
Forward obstacle sensor
Blind spot monitoring camera
Drive recorder
Side obstacle sensor
Oil level
Door open/close sensor
Booth open/close sensor
Passenger seat sensor
Rear obstacle sensor
GPS sensor
Airbag sensor
Rear view camera
Driver monitoring sensor
Steering angle sensor
Fire sensor
Vehicle speed sensor
Collision detection sensor
Pedestrian collision sensor
Cabin air pollution sensor
Tyre pressure sensor
Intrusion alarm detection
Ambient light sensor
...
Sensors are invisible assets!
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GECOSENSE – ENERGY MONITORING
Did you see the energy monitoring sensor in the promotional video?
3.2 Simple sensors: case ‘smart metering’
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PERCEIVED VALUE OF SENSORS
DEPENDABILITY/CRITICALITY
Wisdom
What we decide
to do with it
VISIBILITYPERCEIVEDVALUE
Knowledge
Data analytics, models
Information
Context
Data
Sensors
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THE PACE OF DATA FLOW
A reflection of the fast society we are living in
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Wisdom
What we decide
to do with it
Knowledge
Data analytics, models
Information
Context
Data
Sensors
THE DATA HIGHWAY
On-demanddataContinuousdatafeed
Off-lineOn-line
DeferredprocessingInstantprocessing
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THE SHIFT TO ‘OPEN’ SENSORS
Dealing with future (not yet known) features
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TESLA – AUTOMATIC DRIVING
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SMARTPHONE – FALL DETECTION
Sensor
Accelerometer
Platform
Smartphone
Intentional
application
Portrait or landscape
detection
3.2 Simple sensors: case ‘smart metering’
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SMARTPHONE – FALL DETECTION
Sensor
Accelerometer
Platform
Smartphone
New (unintentional)
application
Fall detection
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IT ALL ADDS UP!
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HIGH IMPLIED DEMANDS VERSUS LOW PERCEIVED VALUE
Sensor requirements
• Connected
• Small
• Autonomous
• Low-cost
• (Re)configurable
• Reliable
• Performant
UBIQUITOUS
INVISIBLE
OPEN
PACE
LOW VALUE PERCEPTION
Complex!
3.2 Simple sensors: case ‘smart metering’
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HIGH IMPLIED DEMANDS VERSUS LOW PERCEIVED VALUE
Sensor requirements
• Connected
• Small
• Autonomous
• Low-cost
• (Re)configurable
• Reliable
• Performant
UBIQUITOUS
INVISIBLE
OPEN
PACE
LOW VALUE PERCEPTION
Complex!
• On one hand, sensors are so ‘common’ they are
taken for granted and not seen as valuable assets
(low perceived value)
• On the other hand, our whole information society
heavily depends on sensor data which implies
they must be able to communicate reliable
information in real-time, hence turning them
into complex systems
• This puts the design process of sensors under
a lot of pressure
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EVOLVING ARCHITECTURES
AND SENSOR DEVELOPMENT
6 hints to tackle the challenge
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• What to measure (register or disk rotation)?
• How to detect disk rotation/direction? How to read register?
• What is the maximum speed of the disk?
• What is the required accuracy?
• What are the power requirements?
• How and what must be communicated to BOXX?
• Are all the meters the same (disk surface, disk-sensor
distance)?
• What are the environmental conditions (ambient light,
temperature)?
• Who will install the sensor?
• What is allowed as interface to the existing cabinet?
• How long should installation take?
• What about visibility of the register after the sensor is
mounted?
• What is the maximum cost (sensor + installation)?
• What are the expected volumes?
GECOSENSE - COUNTING PULSES… SIMPLE?
TECHNICALUSERBUSINESS
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#1 - HOLISTIC APPROACH
• Should be applied throughout the complete development cycle
• Requires a multi-disciplinary team with an inter-disciplinary collaboration
• Engineering cost
• Product cost, TCO
• Minimal Viable Product
• Funding
• Technology selection
• Technology integration
• Development
• Testing, verification, validation,
certification
• Use cases
• Usability
• Features
• Perceived value
• Stakeholders
3.2 Simple sensors: case ‘smart metering’
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GECOSENSE – THE PROJECT TEAM
Project
Coordination
Project
Management
Sales
Management
Software
Engineering
Hardware
Engineering
Optical
Engineering
System
Engineering
Lambda-X
Mechanical
Engineering
Industrialization
Contract manuf.
Management
External
consultants
Multi-disciplinary
project team with
inter-disciplinary
collaboration!
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#2 – UNDERSTAND THE PHYSICS
• Understanding the physics helps you in selecting the right measurement technology
• Must be done early in the development process!
• Get or acquire domain knowledge
• Literature, papers, patent survey
• Start measuring!
• Use simulation tools
• Determine correlations
• Consider influencing factors
(environment, time, …)
3.2 Simple sensors: case ‘smart metering’
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GECOSENSE – OPTICAL SYSTEM MODELLING
3.2 Simple sensors: case ‘smart metering’
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#3 – SENSOR AS A PLATFORM (EXAMPLES)
Possibilities
• MCU family (footprint
compatible devices,
reprogrammable)
• FPGA (reconfigurable)
• Software library
(modular)
• Communication protocol
(e.g. HART)
• Standard mechanical
format / interface
• Overdesign for current
application (performance,
features)
• Variable assembly
• Bus architecture
• Extension connector
3.2 Simple sensors: case ‘smart metering’
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#3 – SENSOR AS A PLATFORM (RATIONALE)
Properties of platforms
• Flexible
• Reconfigurable
• Modular
• Scalable
• Generic
• Re-usable
• Standardization (open standards,
interchangeable)
• Portable (hardware independent)
• Platforms enable the implementation of an evolving architecture
• This can be realized on different levels (mechanical, hardware, software) and in
different project stages
Advantages for
sensor development
• Design flexibility (agility!)
• Earlier start of development
• Lower cost of change (re-use)
• Risk mitigation
• New features can be added after
go2market (future proof, sustainability,
longevity)
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GECOSENSE – PLATFORM DESIGN (MECHANICAL)
Optical subsystem
Attachment/alignment
Signal processing
Cover/protection
Interface (BOXX)
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GENERIC – PLATFORM DESIGN (HARDWARE)
Naked sensor
Sensor interface
Platform
management
Processing
Communication i/f
Storage
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MCU
(PIC32MX)
GECOSENSE – PLATFORM DESIGN (HARDWARE)
Meter disk
Optical transmitter
(2x)
Transmitter driver
(2x)
Optical receiver
(2x)
Analog to Digital
Convertor
Power supply
EMC filtering
Level shifting
UART
Meter interface module
RAM
FLASH
Watch-
dog
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GECOSENSE – PLATFORM DESIGN (HARDWARE)
3.2 Simple sensors: case ‘smart metering’
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GENERIC – PLATFORM DESIGN (SOFTWARE)
Hardware Abstraction Layer
Sensor i/f and Pre-processing
Communication
protocol
Signal Processing (algorithm)
Sensor Platform Management
3.2 Simple sensors: case ‘smart metering’
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GECOSENSE – PLATFORM DESIGN (SOFTWARE)
Bootloader Initialization
Auto
Calibration
I/O driver
(LEDs)
I2S handling
(ADC)
Send/receive
Pulse
generation
Signal
sampling
Protocol driver
Band pass
filter
Envelope
detection
Normalization
Dip detection
Direction
detection
Dip counting
(cons + prod)
Task scheduling Power management
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#4 – START WITH A WIDE ‘FIELD OF VIEW’
• Start with a broad view
• Evolve project focus as you learn (staged approach)
• Iterate
Explore
• Problem
understanding
• Risk identification
• Use cases
• Learn fast / fail fast
• Generate options
• Conceptual design
• Trade-off
Design
• Evaluation
• Verification
• User feedback
• Pre-certification
Optimize
• Performance
• Size/weight
• Cost
• Integration
• Visual design
• Validation
• Certification
Sensor
Proof of Concept
Preliminar functional
sensor
Optimized
sensor
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GECOSENSE - PROJECT APPROACH
Explore Design Optimize
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#5 – STREAMLINE YOUR TOOLCHAIN
• Use the right tools at the right moment
• Organize for portability (reuse) of intermediate development results throughout
the project stages
Explore
• Target = PC (or
similar)
• Rapid prototyping
(bread boarding, 3D
printing)
• Simulation
• Technology scouting
• Starter kits
• Algorithm modeling
tools
Design
• Target = functional
proto
• Functional
decomposition and
(re)grouping
• Design tools (EDA,
mechanical design)
• Review checklists
• Debugging tools
• Model translation
tools (code
generation)
Optimize
• Target =
• final sensor
• Configuration
management tools
(features, bugs,
version)
• Calibrated test bench
• (Automated) test
procedure
• Model optimization
tools (code
optimization)
3.2 Simple sensors: case ‘smart metering’
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GECOSENSE – USE OF TOOLS
Office tools (Excel, Word, Powerpoint)
Matlab (physical simulation and modelling)
Python (protocol simulation)
MPLab (C compiler for embedded software development)
SVN (software version control)
Bugzilla (bug reporting and follow-up)
Creo (mechanical design)
Altium designer (electronic design)
Zemax OpticStudio (optical modelling and design)
LTspice (electronic simulation)
Starter kits / breadboards Functional model / 3D prints Full sensor / Molded parts Final product / Test bench
3.2 Simple sensors: case ‘smart metering’
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#6 – EXPLOIT THE FULL SYSTEM
• Sensor fusion
 IMU : accelerometer, gyroscope, magnetometer
• Distributed computing
 determine where to compute what
 optimize technical resources, communication bandwidth, autonomy
 Example: sensor, hub, backend
• Inclusion of context
 Example : GPS  lock to road, day/night mode
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GECOSENSE – EXPLOITING THE SYSTEM
Exploited features
• Temperature sensor and temperature
compensation
• Auto calibration
• Redundant meter disk monitoring (using two
measuring channels)
• Totalize energy consumption and production
on sensor
• No conversion to kWh, no trending
Advantages for GecoSense
• Improved reliability over temperature
• Compensation for sensor degradation (long
term stability),; autonomous operation
• Disk direction detection
Improved reliability
• Possibility for BOXX to recover from
communication drop out
• Minimize sensor resources (cost reduction)
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GECOSENSE – READY FOR MARKET LAUNCH!
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GECOSENSE – FUTURE IDEAS
• Retrofit on meter itself for PV applications (solar cells)
 shorter distance to meter disk!
 measurement of both energy consumption and production
• Retrofit for meters with LED instead of disk
• Exchange more parameters with BOXX (signal quality, settings)
• All these ideas can be implemented with minimal effort, thanks to the evolving
architecture of the GecoSense sensor
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CONCLUSION
Click to insert subtitle
3.2 Simple sensors: case ‘smart metering’
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REDUCING THE PRESSURE FROM SENSOR DEVELOPMENT
Sensor development
UBIQUITOUS
INVISIBLE
OPEN
PACE
LOW VALUE PERCEPTION
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Sensor development
UBIQUITOUS
INVISIBLE
OPEN
PACE
LOW VALUE PERCEPTION
REDUCING THE PRESSURE FROM SENSOR DEVELOPMENT
Evolving
architecture
#1
Holistic
approach
#2
Understand
the physics
#3
Sensor as a Platform #4
Wide ‘angle
of view’
#5
Streamline
toolchain
#6
Exploit full system
3.2 Simple sensors: case ‘smart metering’
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IS THIS A SIMPLE CAR PARKING SENSOR?
https://www.youtube.com/watch?v=Wkvy0GtJE2E
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...YOU MIGHT BE SURPRISED!
Signal processing (master)
Wireless communication (voice/ears)
Sensors (stereoscopic sight + hearing)
Signal processing (slave)
Wireless communication (beak)
Sensors (stereoscopic camera)
Signal processing (slave)
Wireless communication (ears)
Sensors (movement)
THEDRIVER
(sensorplatform#1)
THECHICK
(sensorplatform#2)
THEDOG
(sensorplatform#3)
3.2 Simple sensors: case ‘smart metering’
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Innovation Day is an initiative of Masters in Innovation,
the umbrella brand of the Verhaert Group which aims
to connect, train and accelerate professional innovators.
Kruibeke
Belgium
Hogenakkerhoekstraat 21
B-9150 Kruibeke
T +32 3 250 19 00
E info@verhaert.com
www.verhaert.com
Nivelles
Belgium
Noordwijk
Netherlands
Av. Robert Schuman 102
B-1400 Nivelles
T +32 67 47 57 10
E info@lambda-x.com
www.lambda-x.com
Kapteynstraat 1
2201 BB Noordwijk
T +31 71 760 05 50
E info@verhaert.com
connect.verhaert.com
INDUSTRY
TECHXFER
MEDICAL
AEROSPACE
TECHXFER
FMCGCONNECT
TECHXFER
FMCGCONNECT
MEDICAL
Aveiro
Portugal
Av. Dr. Lourenço
Peixinho 96D 4o
3800-159 Aveiro
T +351 234 604 088
E info@load-interactive.com
www.load-interactive.com
CONNECT
Gentbrugge
Belgium
Bruiloftstraat 55-57
B-9050 Gentbrugge
T +32 9 330 27 90
E info@moebiusdesign.be
www.moebiusdesign.com
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Simple sensors, case smart metering (by Rudy Van Raemdonck)

  • 1. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 1 Template presentation Innovation Day 2016CONFIDENTIAL TRACK 3: EVOLVING ARCHITECTURES Rudy Van Raemdonck Coordinator EmbeddedLab rudy.vanraemdonck@verhaert.com SIMPLE SENSORS CASE ‘SMART METERING’
  • 2. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 2 A SIMPLE CAR PARKING SENSOR ... https://www.youtube.com/watch?v=Wkvy0GtJE2E
  • 3. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 3 1 2 3 4 CONTENT Case: GecoSense Challenges in sensor development Evolving architectures and sensor development Conclusions and food for thought
  • 4. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 4 CONFIDENTIAL 4 CASE: GecoSense A retrofittable energy measuring sensor
  • 5. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 5 BOXX - ENGIE’S SMART THERMOSTAT SOLUTION https://www.engie-electrabel.be/nl/particulier/boxx-besparen-energie-verbruik-thermostaat
  • 6. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 6 GECOSENSE – SYSTEM OVERVIEW Retrofittable energy meter sensor Interface box (existing)Wireless link BOXX intelligent thermostat
  • 7. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 7 • Count disk revolutions of installed energy meters (Ferraris type) • In both directions (energy consumption and production) • Without intrusion of the meter cabinet (sealed) • And fully removable • That interfaces to the BOXX thermostat • Consumes less than 1W • Is low cost (including installation) • And can be launched within a period of 9 months GECOSENSE - BASIC REQUIREMENTS
  • 8. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 8 CONFIDENTIAL 8 CHALLENGES IN SENSOR DEVELOPMENT Why is sensor development complexity underestimated?
  • 9. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 9 SENSORS ARE EVERYWHERE …
  • 10. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 10 ... ON (IN) OUR BODY
  • 11. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 11 ... IN OUR HOMES/WORKING PLACES
  • 12. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 12 ... IN OUR CITIES
  • 13. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 13 A MYRIAD OF SENSORS Source : IBM Canada
  • 14. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 14 … AND NOWHERE!
  • 15. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 15 CAR SENSORS - WHERE ARE THEY?
  • 16. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 16 CAR SENSORS – TYPICAL LIST Engine Coolant Temperature Fuel Pressure (Gauge) Intake Manifold Absolute Pressure Engine RPM Vehicle Speed Sensor Ignition Timing Advance for #1 Cylinder Intake Air Temperature Air Flow Rate from Mass Airflow Sensor Absolute Throttle Position Oxygen Sensor 1 Bank 1 Oxygen Sensor 2 Bank 1 Oxygen Sensor 3 Bank 1 Oxygen Sensor 4 Bank 1 Oxygen Sensor 1 Bank 2 Oxygen Sensor 2 Bank 2 Oxygen Sensor 3 Bank 2 Oxygen Sensor 4 Bank 2 Distance Traveled Fuel Rail Pressure Relative to Vacuum Fuel Rail Pressure Fuel Level Input EVAP System Vapor Pressure Control Module Voltage Catalyst Temperature Bank 1 Sensor 1 Catalyst Temperature Bank 2 Sensor 1 Catalyst Temperature Bank 1 Sensor 2 Catalyst Temperature Bank 2 Sensor 2 Absolute Load Value Relative Throttle Position Ambient Air Temperature Accelerator Pedal Position D Accelerator Pedal Position E Accelerator Pedal Position F Road condition sensor Magnetic sensor Vehicle distance sensor Forward obstacle sensor Blind spot monitoring camera Drive recorder Side obstacle sensor Oil level Door open/close sensor Booth open/close sensor Passenger seat sensor Rear obstacle sensor GPS sensor Airbag sensor Rear view camera Driver monitoring sensor Steering angle sensor Fire sensor Vehicle speed sensor Collision detection sensor Pedestrian collision sensor Cabin air pollution sensor Tyre pressure sensor Intrusion alarm detection Ambient light sensor ... Sensors are invisible assets!
  • 17. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 17 GECOSENSE – ENERGY MONITORING Did you see the energy monitoring sensor in the promotional video?
  • 18. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 18 PERCEIVED VALUE OF SENSORS DEPENDABILITY/CRITICALITY Wisdom What we decide to do with it VISIBILITYPERCEIVEDVALUE Knowledge Data analytics, models Information Context Data Sensors
  • 19. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 19 THE PACE OF DATA FLOW A reflection of the fast society we are living in
  • 20. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 20 Wisdom What we decide to do with it Knowledge Data analytics, models Information Context Data Sensors THE DATA HIGHWAY On-demanddataContinuousdatafeed Off-lineOn-line DeferredprocessingInstantprocessing
  • 21. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 21 THE SHIFT TO ‘OPEN’ SENSORS Dealing with future (not yet known) features
  • 22. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 22 TESLA – AUTOMATIC DRIVING
  • 23. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 23 SMARTPHONE – FALL DETECTION Sensor Accelerometer Platform Smartphone Intentional application Portrait or landscape detection
  • 24. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 24 SMARTPHONE – FALL DETECTION Sensor Accelerometer Platform Smartphone New (unintentional) application Fall detection
  • 25. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 25 IT ALL ADDS UP!
  • 26. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 26 HIGH IMPLIED DEMANDS VERSUS LOW PERCEIVED VALUE Sensor requirements • Connected • Small • Autonomous • Low-cost • (Re)configurable • Reliable • Performant UBIQUITOUS INVISIBLE OPEN PACE LOW VALUE PERCEPTION Complex!
  • 27. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 27 HIGH IMPLIED DEMANDS VERSUS LOW PERCEIVED VALUE Sensor requirements • Connected • Small • Autonomous • Low-cost • (Re)configurable • Reliable • Performant UBIQUITOUS INVISIBLE OPEN PACE LOW VALUE PERCEPTION Complex! • On one hand, sensors are so ‘common’ they are taken for granted and not seen as valuable assets (low perceived value) • On the other hand, our whole information society heavily depends on sensor data which implies they must be able to communicate reliable information in real-time, hence turning them into complex systems • This puts the design process of sensors under a lot of pressure
  • 28. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 28 CONFIDENTIAL 28 EVOLVING ARCHITECTURES AND SENSOR DEVELOPMENT 6 hints to tackle the challenge
  • 29. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 29 • What to measure (register or disk rotation)? • How to detect disk rotation/direction? How to read register? • What is the maximum speed of the disk? • What is the required accuracy? • What are the power requirements? • How and what must be communicated to BOXX? • Are all the meters the same (disk surface, disk-sensor distance)? • What are the environmental conditions (ambient light, temperature)? • Who will install the sensor? • What is allowed as interface to the existing cabinet? • How long should installation take? • What about visibility of the register after the sensor is mounted? • What is the maximum cost (sensor + installation)? • What are the expected volumes? GECOSENSE - COUNTING PULSES… SIMPLE? TECHNICALUSERBUSINESS
  • 30. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 30 #1 - HOLISTIC APPROACH • Should be applied throughout the complete development cycle • Requires a multi-disciplinary team with an inter-disciplinary collaboration • Engineering cost • Product cost, TCO • Minimal Viable Product • Funding • Technology selection • Technology integration • Development • Testing, verification, validation, certification • Use cases • Usability • Features • Perceived value • Stakeholders
  • 31. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 31 GECOSENSE – THE PROJECT TEAM Project Coordination Project Management Sales Management Software Engineering Hardware Engineering Optical Engineering System Engineering Lambda-X Mechanical Engineering Industrialization Contract manuf. Management External consultants Multi-disciplinary project team with inter-disciplinary collaboration!
  • 32. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 32 #2 – UNDERSTAND THE PHYSICS • Understanding the physics helps you in selecting the right measurement technology • Must be done early in the development process! • Get or acquire domain knowledge • Literature, papers, patent survey • Start measuring! • Use simulation tools • Determine correlations • Consider influencing factors (environment, time, …)
  • 33. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 33 GECOSENSE – OPTICAL SYSTEM MODELLING
  • 34. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 34 #3 – SENSOR AS A PLATFORM (EXAMPLES) Possibilities • MCU family (footprint compatible devices, reprogrammable) • FPGA (reconfigurable) • Software library (modular) • Communication protocol (e.g. HART) • Standard mechanical format / interface • Overdesign for current application (performance, features) • Variable assembly • Bus architecture • Extension connector
  • 35. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 35 #3 – SENSOR AS A PLATFORM (RATIONALE) Properties of platforms • Flexible • Reconfigurable • Modular • Scalable • Generic • Re-usable • Standardization (open standards, interchangeable) • Portable (hardware independent) • Platforms enable the implementation of an evolving architecture • This can be realized on different levels (mechanical, hardware, software) and in different project stages Advantages for sensor development • Design flexibility (agility!) • Earlier start of development • Lower cost of change (re-use) • Risk mitigation • New features can be added after go2market (future proof, sustainability, longevity)
  • 36. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 36 GECOSENSE – PLATFORM DESIGN (MECHANICAL) Optical subsystem Attachment/alignment Signal processing Cover/protection Interface (BOXX)
  • 37. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 37 GENERIC – PLATFORM DESIGN (HARDWARE) Naked sensor Sensor interface Platform management Processing Communication i/f Storage
  • 38. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 38 MCU (PIC32MX) GECOSENSE – PLATFORM DESIGN (HARDWARE) Meter disk Optical transmitter (2x) Transmitter driver (2x) Optical receiver (2x) Analog to Digital Convertor Power supply EMC filtering Level shifting UART Meter interface module RAM FLASH Watch- dog
  • 39. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 39 GECOSENSE – PLATFORM DESIGN (HARDWARE)
  • 40. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 40 GENERIC – PLATFORM DESIGN (SOFTWARE) Hardware Abstraction Layer Sensor i/f and Pre-processing Communication protocol Signal Processing (algorithm) Sensor Platform Management
  • 41. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 41 GECOSENSE – PLATFORM DESIGN (SOFTWARE) Bootloader Initialization Auto Calibration I/O driver (LEDs) I2S handling (ADC) Send/receive Pulse generation Signal sampling Protocol driver Band pass filter Envelope detection Normalization Dip detection Direction detection Dip counting (cons + prod) Task scheduling Power management
  • 42. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 42 #4 – START WITH A WIDE ‘FIELD OF VIEW’ • Start with a broad view • Evolve project focus as you learn (staged approach) • Iterate Explore • Problem understanding • Risk identification • Use cases • Learn fast / fail fast • Generate options • Conceptual design • Trade-off Design • Evaluation • Verification • User feedback • Pre-certification Optimize • Performance • Size/weight • Cost • Integration • Visual design • Validation • Certification Sensor Proof of Concept Preliminar functional sensor Optimized sensor
  • 43. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 43 GECOSENSE - PROJECT APPROACH Explore Design Optimize
  • 44. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 44 #5 – STREAMLINE YOUR TOOLCHAIN • Use the right tools at the right moment • Organize for portability (reuse) of intermediate development results throughout the project stages Explore • Target = PC (or similar) • Rapid prototyping (bread boarding, 3D printing) • Simulation • Technology scouting • Starter kits • Algorithm modeling tools Design • Target = functional proto • Functional decomposition and (re)grouping • Design tools (EDA, mechanical design) • Review checklists • Debugging tools • Model translation tools (code generation) Optimize • Target = • final sensor • Configuration management tools (features, bugs, version) • Calibrated test bench • (Automated) test procedure • Model optimization tools (code optimization)
  • 45. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 45 GECOSENSE – USE OF TOOLS Office tools (Excel, Word, Powerpoint) Matlab (physical simulation and modelling) Python (protocol simulation) MPLab (C compiler for embedded software development) SVN (software version control) Bugzilla (bug reporting and follow-up) Creo (mechanical design) Altium designer (electronic design) Zemax OpticStudio (optical modelling and design) LTspice (electronic simulation) Starter kits / breadboards Functional model / 3D prints Full sensor / Molded parts Final product / Test bench
  • 46. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 46 #6 – EXPLOIT THE FULL SYSTEM • Sensor fusion  IMU : accelerometer, gyroscope, magnetometer • Distributed computing  determine where to compute what  optimize technical resources, communication bandwidth, autonomy  Example: sensor, hub, backend • Inclusion of context  Example : GPS  lock to road, day/night mode
  • 47. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 47 GECOSENSE – EXPLOITING THE SYSTEM Exploited features • Temperature sensor and temperature compensation • Auto calibration • Redundant meter disk monitoring (using two measuring channels) • Totalize energy consumption and production on sensor • No conversion to kWh, no trending Advantages for GecoSense • Improved reliability over temperature • Compensation for sensor degradation (long term stability),; autonomous operation • Disk direction detection Improved reliability • Possibility for BOXX to recover from communication drop out • Minimize sensor resources (cost reduction)
  • 48. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 48 GECOSENSE – READY FOR MARKET LAUNCH!
  • 49. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 49 GECOSENSE – FUTURE IDEAS • Retrofit on meter itself for PV applications (solar cells)  shorter distance to meter disk!  measurement of both energy consumption and production • Retrofit for meters with LED instead of disk • Exchange more parameters with BOXX (signal quality, settings) • All these ideas can be implemented with minimal effort, thanks to the evolving architecture of the GecoSense sensor
  • 50. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 50 CONFIDENTIAL 50 CONCLUSION Click to insert subtitle
  • 51. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 51 REDUCING THE PRESSURE FROM SENSOR DEVELOPMENT Sensor development UBIQUITOUS INVISIBLE OPEN PACE LOW VALUE PERCEPTION
  • 52. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 52 Sensor development UBIQUITOUS INVISIBLE OPEN PACE LOW VALUE PERCEPTION REDUCING THE PRESSURE FROM SENSOR DEVELOPMENT Evolving architecture #1 Holistic approach #2 Understand the physics #3 Sensor as a Platform #4 Wide ‘angle of view’ #5 Streamline toolchain #6 Exploit full system
  • 53. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 53 IS THIS A SIMPLE CAR PARKING SENSOR? https://www.youtube.com/watch?v=Wkvy0GtJE2E
  • 54. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 54 ...YOU MIGHT BE SURPRISED! Signal processing (master) Wireless communication (voice/ears) Sensors (stereoscopic sight + hearing) Signal processing (slave) Wireless communication (beak) Sensors (stereoscopic camera) Signal processing (slave) Wireless communication (ears) Sensors (movement) THEDRIVER (sensorplatform#1) THECHICK (sensorplatform#2) THEDOG (sensorplatform#3)
  • 55. 3.2 Simple sensors: case ‘smart metering’ CONFIDENTIAL 55 Innovation Day is an initiative of Masters in Innovation, the umbrella brand of the Verhaert Group which aims to connect, train and accelerate professional innovators. Kruibeke Belgium Hogenakkerhoekstraat 21 B-9150 Kruibeke T +32 3 250 19 00 E info@verhaert.com www.verhaert.com Nivelles Belgium Noordwijk Netherlands Av. Robert Schuman 102 B-1400 Nivelles T +32 67 47 57 10 E info@lambda-x.com www.lambda-x.com Kapteynstraat 1 2201 BB Noordwijk T +31 71 760 05 50 E info@verhaert.com connect.verhaert.com INDUSTRY TECHXFER MEDICAL AEROSPACE TECHXFER FMCGCONNECT TECHXFER FMCGCONNECT MEDICAL Aveiro Portugal Av. Dr. Lourenço Peixinho 96D 4o 3800-159 Aveiro T +351 234 604 088 E info@load-interactive.com www.load-interactive.com CONNECT Gentbrugge Belgium Bruiloftstraat 55-57 B-9050 Gentbrugge T +32 9 330 27 90 E info@moebiusdesign.be www.moebiusdesign.com ON SITE CONSULTANCY