1. The Smart Office IoT application designed in a Living Lab environment
Living bits and things November 27, 2012, Bled, Slovenia
The Smart Office IoT application designed in a Living Lab environment
Karol Furdík
InterSoft, a.s., Košice, Slovakia,
Technical University of Košice, Faculty of Electrical Engineering and Informatics, Department of Cybernetics and Artificial Intelligence, Košice, Slovakia, 1 1

2. Contents Context of related FP6 & FP7 projects ELLIOT project
HYDRA, LinkSmart system, ebbits, ELLIOT
ELLIOT project
Basic facts, EEU extension of the project
Living Lab approach to IoT application development
KSB experience model
The Smart Office application
Living Lab environment designed for the Smart Office pilot
The Smart Office concept: goals, objectives
Installation of the pilot, RWE IT application partner
Living Lab phases, scenarios, KPIs and related KSB aspects
Experiments, data collection and evaluation
Conclusions
Summary of achievements, future work
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 2 2

3. Context of FP6 & FP7 projects
FP6 HYDRA
objective: development of a semantic middleware for IoT applications
FP7 ebbits
objective: enhance LinkSmart and apply it in real business environment
LinkSmart
Open Source semantic middleware for IoT
FP7 ELLIOT
objective: co-design of IoT applications in a Living Lab
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 3 3

4. ELLIOT project - basic facts
ELLIOT: Experiential Living Lab for the Internet Of Things
Framework Programme 7, ICT Call 5 : FP7-ICT
Objective ICT : Internet of Things and Enterprise environments
Project type: STREP / Collaborative research, Project No:
Duration: 30 months (September February 2013)
Web:
Coordinator: TXT Polymedia S.p.A., Italy
Partners: (Italy, Germany, France, UK, Bulgaria, Hungary, Slovakia)
Aims of the project:
the development of an Internet of Things experimental platform,
to directly involve users (customers, citizens) in co-creating, exploring and experimenting new ideas, concepts and technological artefacts,
to study a potential impact of IoT and the Future Internet in the context of the Open User-Centred Innovation paradigm and of the Living Lab approach.
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 4 4

5. Living Lab approach to IoT
Objectives, principles of the approach in ELLIOT:
Explore the potential of user co-creation techniques and tools, such as serious gaming, participative requirements engineering and verification/validation, in the context of IOT.
Study and develop a set of KSB (Knowledge-Social-Business) Experience Models integrating social, intellectual-cognitive, economical, legal and ethical aspects related to the use of IoT technologies and services into a single, “holistic”, meta model.
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 5 5

6. ELLIOT-EEU extension Focus of pilots:
Extension to the Enlarged European Union (EEU):
Duration: 18 months (September February 2013)
3 new use cases - pilot applications: Bulgaria, Hungary, Slovakia, as complements to former ELLIOT pilots
Focus of pilots:
Logistics PLM: Logistics Product Life-cycle Management (PLM) supported by IoT and RFID technologies
BIBA LogDynamics Lab, Bremen, Germany
SafePay Systems Ltd., Hungary
Extended concept of “Well Being” in a hospital environment
San Raffaele Hospital, Milan, Italy
Virtech Ltd., Bulgaria
Green ICT Usage Lab
INRIA (Sophia Antipolis), France
InterSoft, a.s., Kosice, Slovakia
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 6 6

7. ELLIOT Living Lab in Slovakia
Pilot name: ECOffices - Ambient Intelligence in energy saving
The Smart Office use case:
Integrates AmI-IoT & semantic technologies, with respect to the KSB (knowledge-social-business) aspects of user interactions
Targets the optimization of energy consumption in offices
Focus, goals:
experiment the ELLIOT outcomes and the new semantically enhanced AmI technology in the Energy test case in Slovakia
demonstrate the platform capabilities towards a positive impact on environment (energy consumption, CO2 footprint)
Technology:
AmI-IoT: based on LinkSmart middleware, using outcomes of the FP7 project ebbits.
Semantics: device ontology, fusion of generated events, business rules
Devices: energy consumption, environment conditions, and occupancy sensors - Plugwise, Arduino, …
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 7 7

8. The Smart Office concept
From “Smart Houses” to “Smart Offices”
Smart House:
a house that has advanced automatic systems for lighting, heating, air-conditioning, window and door operations, security etc.
many solutions, both commercial and research
Smart Office:
to employ the paradigm of the smart house in a business environment,
inclusion of / integration with business processes,
optimization of existing processes in an organization (or office),
ability to implement new and more efficient business processes,
expected benefits on the user level regarding to more organized and coordinated social interactions.
Challenges:
correspondence of AmI-IoT with business processes,
acceptance and support from the side of employees (and management),
possible solution: AmI-enhanced services and processes should follow the recommendations of IT Infrastructure Library (ITIL, and the related standard ISO/IEC 20000:1-5.
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 8 8

9. Application partner : RWE IT
RWE IT Slovakia,
belongs to RWE group, leading energy (gas, electricity) distributor in Eastern Slovakia
daughter company of RWE IT GmbH, IT services provider for RWE
ECOffices pilot is implemented in the premises of RWE IT:
office type: open space room
8 employees in the office (administration department)
central heating, air conditioning individually controlled within the office
equipment: computers, monitors, phones, 2 x printers, 1 x scanner / copier
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 9 9

10. ECOffices : the Living Lab concept
General Goal: a systematic and iterative user co-creation approach integrating research and innovation processes towards the energy efficiency in business environment, using AmI-IoT technologies (enabled by the LinkSmart system).
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 10 10

11. Living Lab phases 11 Co-Creation Exploration Evaluation
Analysis of the Energy Efficient Office case
Requirements collection
Interviews & questionnaires
Spec. of scenarios
Service Improvement / adjustment
Service Ideas, requirements, initial specifications
Exploration
Evaluation
Design and installation of sensors, devices, and infrastructure - test implementations
Identification of data sources, KPIs and KSB aspects
Observation protocols
Refinement of scenarios
Evaluation of KSB aspects
Professionals & expert evaluations
End users evaluation – employees, decision makers
Workshop
Service / Living Lab Results
Service and/or
HW-SW Implementation
Experimentation
Testbeds & Trials
Monitoring, collection of data
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 11 11

12. Living Lab scenarios
Scenario #1: Exploration of a suitable occupancy sensing device
4 different types of occupancy sensors identified by IoT experts
Goal: Users exploring, experiments and evaluation - to find a balance between:
Comfortable environment
Amount of saved energy / CO2 emissions
Privacy loss
Scenario #2: Process-based adaptation of the working environment
Uses occupancy sensor as an output of scenario #1.
Template process model given, e.g. predefined work hours, seasonal settings of environment
Adaptation of working environment according to user preferences
Goal: Adapted process model as an explicit representation of the working environment settings in a given time scale
Scenario #3: Competition on energy savings in the office
Users playing a “game” saving real energy
A visualization showing actual consumption and CO2 footprint data, overall ranking, etc.
Ranking provided to decision makers -> e.g. awarding of winners, motivating others, ...
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 12 12

13. Indicators for KSB analysis
Knowledge:
Sensing affordances  KPI: Frequency of "Power consumption overview" portal page views during a specified period
Conation (Desire)  KPI: Number of positive reactions to switch off air conditioning and opening a window
Social:
Mutual goodwill  KPI: Number of user profiles with similar settings on temperature and lighting
Community behavior  KPI: Number of profiles having the proportion of light / temperature profile settings of particular user to whole group average above a threshold value
Business:
Performance level  KPI: Overall amount of saved energy (in a specified period, comparing to an average of consumed energy)
Reliability  KPI: Number of errors / exceptions in the log during specified period
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 13 13

14. Pilot implementation (1)
Schedule of the pilot:
1st round: May-June 2012 (completed)
2nd round: end of August
evaluation: end of 2012
Technology:
Devices installed (see figure)
Data monitored and collected from the 1st round, evaluation is ongoing, use of the data in occupancy sensing
Interface to ECOffices system is a web portal
Arduino-based prototypes (see next slide)
Involvement of users:
Initial user requirements and information about user habits collected by a questionnaire
Smart Office Portal - Web application for gathering user experiences was developed
Success factors and KPIs (focused on KSB aspects) were specified and provided for analysis into ELLIOT platform
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 14 14

15. Pilot implementation (2)
Arduino-based open HW
Xbee, Thermometer, Ambient light sensor
SmartOffice Portal – the main user interaction tool
Data - log example:
power usage: 46.00W on 000D6F000072AF09 at :17:17
power usage: 42.00W on 000D6F0000D33655 at :17:17
power usage: 3.00W on 000D6F D at :17:17
power usage: 36.00W on 000D6F CB at :17:17
Log format: [Immediate power consumption in watts] [ID: MAC address of sensor] [timestamp]
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 15 15

16. Monitoring and data collection
Data sources:
sensors: power consumption on plugs, outdoor / indoor temperature, light intensity, motion sensors
devices: RFID cards for occupancy sensing, air conditioning control unit, LinkSmart middleware system (provides system logs)
user interface: web based Smart Office portal (user interactions, profiles & preferences, system logs)
Means of collecting the data:
direct measuring - outdoor / indoor temperature, power consumed on a single plug, light intensity on a single place, etc.
a value fetched in a single shot from a sensor, e.g. Immediate power consumption in watts, temperature value in °C, etc.
simple calculation - i.e., CO2 footprint (CO2 emission factor for electricity = kg / kWh, light intensity in whole room, etc.
value calculated by a simple algebraic statement from one or several directly measured values
data series of two dimensions (e.g. indoor temperature for given time period)
data merging - i.e., occupancy sensing (calculated by merging Power consumption data analysis, PIR motion sensors, and RFID cards), average energy consumption of a working team for a given time period, etc.
multi-dimensional data structures, calculated by algebraic statements and rules
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 16 16

17. Summary, future steps Work done so far: Next steps: 17
LinkSmart middleware adapted for the ECOffices Living Lab
pilot prototype implemented
1st round of experiments on Scenario #1 accomplished
Occupancy sensing: simple motion sensor - precision 45-50%, combination of motion sensors, RFIDcards, and energy consumption monitoring - precision 94%
data from sensors collected and provided to the ELLIOT platform for KSB analysis
Next steps:
new types of devices - actuators: air conditioning control, heating control, light switches
business rule / process engine, based on Drools framework,
a generic process model for Scenario #2 will be developed
Scenario #2 experiments, evaluation
the Smart Office portal will be enhanced to enable the “game” on energy savings
Scenario #3 experiments, evaluation
ECOffices Living Lab has an ambition to join the European Network of Living Labs (ENoLL, in its next wave.
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 17 17

18. Thank you for your attention!
Questions, suggestions, ...?
Contact:
web:
Acknowledgements: The presented work was supported by the ELLIOT project, co-founded by the European Commission within the contract No
K. Furdík: The Smart Office IoT application designed in a Living Lab environment
Living bits and things 2012, November 27, 2012, Bled, Slovenia 18 18