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FASyS: Personalised and Proactive Health and Safety for
Aging Workforces in the Future Sensing Enterprise Working
Environments
FInES Workshop on Sensing Enterprise
Brussels, 12 October 2012

Dr Oscar Lazaro – Innovalia Association

© SMEs in the Future Internet (FI) Task Force - 2012

 Lessons Learned.
 The FASyS Experience.
Agenda

This document is the property of ComVantage project and may not be copied or communicated without written consent of Comvantage Consortium

THE FASYS EXPERIENCE
DEPLOYMENT OF INTEGRATED AND PERSONALISED RISK
MANAGEMENT SOLUTIONS IN A SENSING ENTERPRISE

Background

 FASyS – the Spanish acronym for
Absolutely Safe and Healthy Factory
 FASyS is a 40 month duration project,
started in September 2009 with a budget
of 23.3 M€.
 FASyS involves 13 companies and 11
research centres and universities.
 FASyS aims at improving business
competitiveness in “human-centric”
manufacturing processes through new
levels of industrial safety and workplace
comfort facilitated by a strong Sensing
Enterprise Foundation.


The FASyS concept back in 2009

The knowledge worker and human-centric manufacturing are pillars of advanced
European production models.

.. And manufacturing environments are becoming
•Highly dynamic.
•With more sophisticated products & technologies.
•With a greater variability in the production and with dwindling series.

... But
• Workforce is aging fast.
• Human error is the source of 90% of
accidents and incidents in industry.
• The impact of error on workers is
more severe.

.. Technology & prevention models lack the
right scope to protect the worker as an
strategic asset.


The Business Challenge

IoT & Sensing Enterprise could be instrumental to
achieve the right balance


Personal health and safety
related useful information
provision for earlier awareness,
more complete diagnosis
analysis, integrated assessment,
and more effective treatment.



Real time information is
•highly available
•user-friendly managed
•securely accessed
.. for better prevention as well as reaction

Health and safety monitoring



… enabling the deployed actuators de/activation,
computer aided actions, preventive therapy flow
customization, training launching, monitoring
intensification, etc.


The Operational Challenge

There is a need for continuous, proactive, absolute management of security
and health – “factory worker first”.



Can well-known and emerging hazards be completely managed in
an integrated, proactive and continuous manner?

2 4

Risk Characterisation Information Management Risk Information & Training
Inteligent FASyS Service

Risk Actuation Systems
Work
Management

Health Ergonomics & Worker activity Machine Tool –
environment
Monitoring Psico-Sociology monitoring Active Security
2 º
º
monitoring 4
Training Systems

Machine Tool Location Advanced Human
Higine
Risk modelling
Security Monitoring services Risk Machine Interfaces Systems
Actuation

3 1 1
3
Integrated Strategies for Identificacion
Risk Analysis & Risk
Integrated Strategies for Risk

Risk Management

Advanced Commmunication
Acquisition Communication
Sensing Enterprise
Prevention Location

Management
Sensorised
Prevention

Sensors Textiles Short-range hybrid sensor
Personal Health Decision Support
networks
Services R
R Systems De
De
Sensorised Machine
Proactive Risk Tools for Risk Tools
Heterogeneous
Management & Prediction communication
Visualisation (Simulation) Environmental Artificial Vision networks
Sensors Systems


FASyS – A “caring” manufacturing enterprise


LESSONS LEARNED


Testing sites – Large Enterprises & SMEs



ACTION DECISION ANALYSIS

Technologies & Paltforms involved in the Test-Site

 Future Internet Networking

 Semantic Sensor Networks.
 Vision Systems.
 Smart Object
 Active Machine Tool Control
 CEP
 Virtualisation & Cloud Computing
 Knowledge Management.
 Business Process Modelling
 Service Composition and Orchestration.
 Augmented Reality.
 eLearnig platforms.

Configuration & Set-up


Operation & Adaptation


Scenarios



ACTION

Communication System Deployment


AR – Ergonomic Modelling & Monitoring


Modelling
Real-world and Virtual World Simulation – Ergonomic


Ergonomic monitoring



DECISION ANALYSIS

Contextualised Risk Actuation


Monitoring & Control


Proactive H&R Monitoring – Man in the loop


Testing sites – Big Data Analysis

Automatic process
filtering. Autofocus.

Parameters-
signs-sympton
selection

Meticulous filters

Source ICD-10: 12.428 injuries, 330 symptoms… “leading and lagging indicators analysis”


Conclusions


Lessons Learned

 Technical

 Data reliability. Sensor data + acquisition method description.
 Data openness. Data is both open and close based on trusted
networks and usage context.
 Data stream scalability. Data processing should be flexible and
distributed.
 Reasoning resilience. Resilience to data unavailability, ambiguity,
imprecision and error for real system deployment.
 Linked knowledge. Knowledge searches for smart objects.
 Smart object autonomy. Smart object exhibit “glocal” intelligence.
 Smart object morphing. Smart objects may serve purposes
beyond those that they were intended for.
 Messaging performance. Secure QoS-aware service messaging.

Lessons Learned

 Economic
 Business impact assessment methods should focus on effect
quantification not technology.
 Traditional business processes were initially revisited to exploit
sensing enterprise solutions.
 New business models could not be pushed. At latter stages new
business opportunities naturally emerged from the adoption of
new business processes.
 Non-technical
 Legal framework analysis focused on governance, accountability
and liability.
 Social framework focused on privacy empowerment and
transparency vs. vigilance and scrutiny.


Lessons Learned – Knowledge dynamics and intelligence

 Knowledge should not be an static asset
to be searched or found.
 Searching for knowledge is a painful and
slow experience. Less value
 Knowledge is the sensing enterprise
“protein”. The enterprise genome.
 Knowledge “proteins” in traditional and
“new coded” forms must actively attach
and modify the behaviour of relevant
enterprise objects – smart objects.
 Knowledge in continuous and fit motion
through the enterprise torrent equals to
increased business value generation.

Acknowledgements

FASyS – Absolutely Safe & Healthy Factory
http://www.fasys.es/en/index.php

ComVantage – Collaborative Manufacturing
Network for Competitive Advantage
http://www.comvantage.eu/

SMEs in the Future Internet Task Force
http://www.fines-cluster.eu/fines/jm/FInES-Task-Forces/smes-in-the-
future-internet-task-force.html


Thank you

Dr Oscar Lazaro

www.innovalia.org
olazaro@innovalia.org
Questions


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