1° review meeting recognition of the sands project bruno apolloni brussels, 31/3/2014
TRANSCRIPT
At the turning point from design to deployment
• MS2: Things are connectable to Internet ->achieved• MS3: Networking architecture fixed ->achieved• MS4: Domestic middleware completed and running ->achieved
• MS5:Wireless protocol fixed -> to be achieved • MS6: Small scale SandS asset running -> to be achieved • MS7:Recipe generator running -> to be achieved• MS8: Social network infrastructure fixed -> to be achieved• MS9: Large scale experiment concluded -> to be achieved
The Milestone timingB1.3.2.1 GANTT CHART MONTHS IN PROJECT
No WP description 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
MS2
MS1 MS3 MS4 MS5
1 consolidated research
2 boards
3 middleware
4 protocols
5 intelligence
6 social network
7 small scale mockup
8 large scale experiments
MS2 MS4
MS3 MS5
B1.3.2.1 GANTT CHART MONTHS IN PROJECT
WP WP
No Title Task Task description 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
MS10
MS2 MS6 MS11
MS1 MS3 MS4 MS5 MS7 MS8 MS9 MS12
1Research &
System Identification
T1.1 human centerd versant
T1.2 social networks versant
T1.3 Computational Intelligence versant
T1.4 Technological versant
T1.5 caterorise and priorities pool
D1.1 D1.2 D1.3 D1.4
2Electronics for remote activation
T2.1 connection to physical appliances
T2.2 u-node communication services definition
T2.3 u-node auto-configuration services
T2.4 functional and stress testing
D2.1 D2.2 D2.3
3
Middleware island
implementation
T3.1 Middleware Layout Implementation
T3.2 appliance communication
T3.3 Middleware core
T3.4 Services communication
T3.5 Knowledge management
D3.1 D3.2 D3.3 D3.4
4Wireless
networking
T4.1 Definition of requirements
T4.2 Functional analysis
T4.3 Implementation
T4.4 performance model
T4.5 tests
D4.1 D4.2 D4.3 D4.4
5 Rule system
T5.1 Device repertoire analysis
T5.2 Operational data analysis
T5.3 The recipe language
T5.4 Fuzzy rules generator
T5.5 Reinforcement learning
T5.6 Rule generator improvement
T5.7 Early rule system
D5.1 D5.2 D5.3 D5.4 D5.5
6Social
networking
T6.1 Social Architecture
T6.2 Networked Intelligence
T6.3 Measurement and prediction
T6.4 Integrability
T6.5 Performance modeling
T6.6 Consensus and security issues
D6.1 D6.2 D6.3 D6.4
7 Small scale
T7.1 Mockup assembling
T7.2 Experimentig tradeoffs
T7.3 Defining and running recipes
T7.4 Analysis of data
T7.5 Stress test
D7.1 D7.2 D7.3 D7.4 D7.5 D7.6
T8.1 Testing methodology definition
8Large scale experiment
T8.2 Crew Experiment
T8.3 OpenLab Experiment
T8.4 SmartSantander Experiment
T8.5 SandS system overall revision
D8.1 D8.2D8.3/4 D8.5/6
The deliverables delays MONTHS IN PROJECT
No WP description 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
1 consolidated research
D1.1 D1.2 D1.3 D1.4
2 boards D2.1 D2.2 D2.3
3 middleware D3.1 D3.2 D3.3 D3.4
4 protocols D4.1 D4.2 D4.3
5 intelligence D5.1 D5.2
6 social network D6.1
7 small scale mockup
D7.1 D7.2 D7.3
8 large scale experiments
D1.3 D1.3
D2.1 D2.1
D2.2 D2.2
D2.3 D2.3
D3.2 D3.2
D3.3 D3.3
D3.4 D3.4
D4.1 D4.1
• As a coordinator institution UNIMI will describe this facility. The single partners will explainthe general methods and achievements in a more complete way.
In synthesis• We have developped a DI which communicates with :
• Appliances• ESN• Eahoukers (≈)
• Its engineering has been implemented in a mini-mockup in Milano, to be trasnferred to large scale FIRE facilities once assessed in the small scale mockup in CARTIF
• Tangible experience on bread machine, washing machine, diswasher and oven as for non-brand solution , and fridge for branded solution.
A four layers approach to implement an overall ecosystem
INSTRUCTIONS
REACTIONS
LOGIC LAYER
TRANSACTIONS
PHYSIC LAYER
EAHOUKER
• We have developed a NoSQL DB as the pivot of all information flowing in the system, at service of the triplet
<request | recipe | feedback>
• We have developed a two phase strategy for producing recipes
[mine or produce]
Of the top layer:
Starting the deployment• We have set up the Cartif mockup as for:
– Site preparation– Appliances acquisition– Ground truth collection
• We are weaning the computational intelligence of the system in terms of:
– soft computing procedures
In view of• Completing user interfaces (we have it as a
substance, we want made it more appealing)• Stressing the system in vivo in Valladolid• Gaining experience in Valladolid from rigorous test
program on both the appliances and the protocols.• Setting up efficient mining procedures and recipe
producing algorithms.
backlog
• Replacing with SandS motherboard previous motherboards -> to be achieved next months
• Fully exploiting communication protocols• Fully exploiting DI ontologies• More appealing user interfaces
In parallel• Dissemination through convincing papers and
demo, plus multimedia gadget and tools• Exploitation, trying to convince both users and
manufacturerers of the value of the SandS ecosystem
• IPR management in the tight perspective of open software / open hardware whenever non-brand solution is concerned.