1. Microsystems at Bremen University
Walter Lang
MCB: Microsystems Center Bremen

2. MCB IMSAS Microsystems Center Bremen Walter Lang Wolfgang Benecke
Rainer Laur
IMSAS
Institut für Mikrosensoren,
-aktoren und
-systeme

3. Microsystems Center Bremen
Spin Off Companies

4. Microsystems Center Bremen
Pressure Sensors
16 Membranes
Size:
0.4 mm x 0,7 mm

5. Microsystems Center Bremen
Thermal
Flow
Sensor
Thermal flow sensors

6. Microsystems Center Bremen
Gasanalysis
Miniaturized Gas Chromatographic System
BTX in 10ppb concentration (Sick building syndrom)
Ethylene (Fruit logistics)

7. Microsystems Center Bremen
Gasanalysis
Chromatographic Column

8. Autonomous Sensor Networks for Logistics – the Intelligent Container
Microsystems Center Bremen
Autonomous Sensor Networks for Logistics –
the Intelligent Container

9. Sell the fruits on the left side first!
RFID for food products
Beyond Traceability
Additional Information
Combination with sensors
Temperature logging
Automated quality monitoring
Pro-active self-supervising goods
Fright: Bananas
Temperature: 16.5 °C
Quality Index: 80% ?
Sell the fruits on the left side first!

10. Deep Freezer after 5 hours

11. Meet compartment
Average of reefer side ~2 °C colder than other side
Single loggers behave 'chaotic'
Replacing one sensor by averaging its neighbors not possible

12. Example of the intelligent container
Local
Pre-
Processing
RFID
Reader
Freight
Object
(RFID)
Sensor
Nodes
External
Commu- nication

13. Solutions for the communication bottleneck
Transmission of multiple full sensor protocols at unloading can’t be handled by passive RFID
On-Chip processing of sensor data
Intelligent RFID / sensor label
Split between identification and measurement task
Shelf life model to assess effects of temperature
Only state flag transmitted at read out
Standard identification tag at item level
Active sensor nodes for permanent access

14. RFID and information flow

15. What’s the future: Automated shelf life evaluation
Shelf life: number of remaining days until a threshold is passed (colour, firmness, con-sumer acceptance)
Prediction for dynamic temper-ature conditions
Software opti-mization for low-power micro-controllers

16. Application of Shelf-Life-Model for recorded Data
Pattern repeated for test of long term effects
Temperature course of warmest and coldest box
Difference in shelf life after 2 days of transport

17. Thank you for your attention
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