The AmI-MoSES Project is co-funded by the European Commission under the Information and Communication Technologies (ICT) theme

of the 7th Framework Programme (2007-2013)

Project Presentation AmI-MoSES Project

Ambient-Intelligent Interactive Monitoring System

for Energy Use Optimisation in Manufacturing SMEs

Public Project Report

Project Facts: Duration: 36 Months

(September 2008 – August 2011)

Programme: FP7 – ICT

Website: http://www.ami-moses.eu

AmI-MoSES Copyright

AmI-MoSES Project Presentation Page II

All rights reserved.

No part of this project report may be reproduced, stored in a retrieval system, or transmitted in

any form or by any means, electronic, mechanical, photocopying, scanning, or otherwise with-

out prior written permission of the publisher. Except for quotation of short passages for the pur-

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Trademarked names may appear in this report. Rather than use a trademark symbol with every

occurrence of a trademarked name, we use the names only in an editorial fashion and to the

benefit of the trademark owner, with no intention of infringement of the trademark.

The AmI-MoSES project has no influence on the websites mentioned in this report and is not

aware of any illegal content on the pages referenced. Moreover, AmI-MoSES dissociates itself

explicitly from all mentioned websites. This statement is valid for all links within this report.

This publication was completed with the support of the European Commission under the 7th

Framework Programme. The contents of this publication do not necessarily reflect the Commis-

sion's own position.

AmI-MoSES Authors and AmI-MoSES Project Partners

AmI-MoSES Project Presentation Page III

Authors and AmI-MoSES Project Partners

ATB Institut für angewandte Systemtechnik Bremen GmbH http://www.atb-bremen.de

Bremen Germany

TECNALIA http://www.tecnalia.com

Zamudio Spain

RIFOX – Hans Richter GmbH Spezialarmaturen http://www.rifox.de

Bremen Germany

Vicinay Cadenas Sociedad Anon-ima http://www.vicinaycadenas.com

Bilbao Spain

MB Air Systems Limited http://www.mbairsystems.co.uk

Wishaw United Kingdom

Reimesch Kommu-nikationssysteme GmbH http://www.reimesch.de

Bergisch-Gladbach Germany

Disseny I Subministres Tecnics, S.A. http://www.distec.org

Girona Spain

Solvera Lynx d.d. http://www.solvera-lynx.com

Ljubljana Slovenia

Valtion Teknillinen Tutki-muskeskus http://www.vtt.fi

Espoo Finland

AmI-MoSES Table of Contents

AmI-MoSES Project Presentation Page V

Table of Contents

1 Project Main Goals .............................................................................................................. 7

1.1 Summary ....................................................................................................................... 7

1.2 Objectives ..................................................................................................................... 7

1.3 Results obtained ............................................................................................................ 8

1.4 Approach ....................................................................................................................... 9

1.5 Innovations ................................................................................................................. 10

2 Project Data ........................................................................................................................ 12

2.1 List of Participants ...................................................................................................... 12

2.2 Consortium ................................................................................................................. 12

2.3 Costs ........................................................................................................................... 13

2.4 Project Realisation ...................................................................................................... 13

AmI-MoSES Project Main Goals

AmI-MoSES Project Presentation Page 7

1 Project Main Goals

1.1 Summary

The AmI-MoSES project's main aim is to produce a leap forward in energy efficiency by intro-

ducing Ambient Intelligence (AmI) aspects into classical energy consumption monitoring in

manufacturing SMEs.

The AmI-MoSES project enables manufacturing SMEs to efficiently and promptly (on-line)

acquire/provide information/knowledge needed for optimisation of energy consumption and to

effectively use such knowledge to support decisions regarding Life-Cycle oriented Energy Use

Management, applying the developed Energy Efficiency Services. The solution is based on a

novel approach to energy consumption monitoring by introduction of so-called Ambient Intelli-

gence parameters combined with Knowledge Management technologies to realise a decision

support system as add-on to currently used Energy Management Systems.

Existing energy consumption data are complemented by different information from ambient

intelligence systems, such as AmI systems for monitoring interactions between human opera-

tors and machines/processes, and process related measurements, and processed within a ser-

vice-oriented-architecture-based platform. The platform allows for building different software

services using the measured and processed data, such as On-line Diagnostics of Energy related

Problems, Continuous Improvement of Energy Efficiency, Condition-based Energy Consump-

tion Warning and Service supporting Installation and Ramp-Up Phase. The services interactive-

ly provide suggestions for appropriate actions for problem elimination and energy efficiency

increase.

1.2 Objectives

The project objective is to provide a breakthrough in life-cycle oriented management of energy

use in discrete manufacturing industrial small and medium sized enterprises based on effec-

tive usage of advanced Ambient Intelligence and Knowledge Management technology to support

efficient collection and utilisation of knowledge relevant for optimisation of energy use. The

main results of the project are a methodology which provides a basis for application of the so-

phisticated approaches in usage of AmI systems for relevant data collection, its combination into

the Extended Enterprise environment and further knowledge-based processing applying KM

services and tools and a new Service Oriented Architecture-based platform. The AmI-MoSES

platform (see Figure 1) includes a Monitoring and Advisory system to enable a holistic assess-

ment /analysis of energy efficiency in MS during its lifetime and provision of Energy Efficiency

Services. The platform aims at:

acquisition of information/knowledge needed to optimise energy use in manufacturing

systems over the life cycle

usage of these information/knowledge for:

o derivation of life-cycle related Energy Use Parameters and decision support to op-

timise energy use, and

o provision of an open set of Energy Efficiency Services for optimal energy use in

manufacturing systems in different life-cycle phases.

AmI-MoSES Project Main Goals

AmI-MoSES Project Presentation Page 8

The decision making support for the energy efficiency optimisation is also environmentally

based, meaning that the problem elimination suggestions always take care about the environ-

mental performance of the user small and medium sized enterprises, reducing the need for natu-

ral energy sources.

It is obvious that an optimal energy use can be achieved based on a tight collaboration strategy

between manufacturing system installation/equipment vendors and users (Extended Enterprise

concept), and continuous sharing of knowledge among them. AmI-MoSES provides the technical

and organisational basis for such innovative collaboration strategy by effectively using Ambient

Intelligence and Knowledge Management technologies. Important issues on safety and security,

human aspects, collaboration strategies and trust building within the Extended Enterprise, all in

relation to effective life-cycle-oriented energy use monitoring of manufacturing systems, were

addressed.

1.3 Results obtained

To achieve these objectives the project provides:

a new methodology on how to apply a combination of energy consumption measurement

systems and Ambient Intelligence technology – integrated in manufacturing processes –

as well as Knowledge Management solutions to provide Energy Efficiency Services and

optimise life-cycle-oriented energy use monitoring of a manufacturing system, address-

ing specifically organisational issues regarding collaboration among different actors with-

in the Extended Enterprise concept.

a generic and widely applicable Service Oriented Architecture-based AmI-MoSES plat-

form (see figure 1):

Figure 1: Service Oriented Architecture platform using Ambient Intelligence information

1. ECD and AmI Data Processing: This component collects measured data from differ-

ent (standard) energy consumption measuring and AmI systems (and other classical

sources) in the shop-floor and transforms it into knowledge, which is stored in the

common repository and re-used for analysis of energy consumption. Measured ECD

and AmI data are collected from the systems in the shop-floor and provided over in-

formation middleware and transformed into knowledge

AmI-MoSES Project Main Goals

AmI-MoSES Project Presentation Page 9

2. a common repository combining energy consumption data and Ambient Intelligence

information and knowledge gathered along different life-cycle phases and within an

Extended Enterprise context

3. Energy Use Parameter (EUP) monitoring and advisory enabling:

a. derivation of different Energy Use Parameters, using energy consumption da-

ta, Ambient Intelligence information and knowledge gathered

b. feedback to design and innovation processes at both vendors’ and users’ sites

to improve current manufacturing systems and products / services

c. energy use optimisation in future lines

4. Energy Efficiency Services allowing different actors to efficiently collaborate sup-

porting optimal energy use in MS:

a. Condition–based Energy Consumption Warning

b. On-line Diagnostics of Energy related Problems

c. Service supporting Installation and Ramp-up Phase

d. Continuous Improvement of Energy Consumption

set of requirements on Ambient Intelligence technology in order to support optimisation

of energy use of manufacturing systems.

Demonstrators – three showcases of the results for wider dissemination and marketing.

The results will be directly extendable to several discrete manufacturing sectors.

1.4 Approach

AmI-MoSES uses information/knowledge from Ambient Intelligence systems serving different

applications in shop-floor, most of them not directly oriented to energy use optimisation of man-

ufacturing systems. Viability of the AmI-MoSES system functionalities is proved in three typical

manufacturing companies, within three business cases (BC) and vendors which intend to com-

mercialise the envisaged solution.

The three BCs are selected to present different possibilities for application of the AmI-MoSES

results. MBAS represents a typical engineering company, looking for energy efficiency optimi-

sation in the systems they deliver in the contexts of the manufacturing processes where these

systems are to be applied. Rifox is a small manufacturing company, looking for energy savings

in their own manufacturing process and in the application of their products. Finally, Vicinay is a

manufacturing company whose production processes are influenced by a large number of param-

eters defining context in which the solution for energy efficiency optimisation is to be looked

for.

AmI-MoSES uses information from such Ambient Intelligence systems and combines it with

knowledge collected over the Extended Enterprise, such as energy consumption data and process

parameters, using state-of-the-art Knowledge Management techniques, in order to on-line derive

Energy Use Parameters and use it for different Energy Efficiency Services.

The current activities being performed in the project, up to Month 36, cover specification and

development of AmI-MoSES methodology (RTD methodology and industrial methodology),

development of the Early Prototype based on the system specification, development of the Full

Prototype, and demonstration of AmI-MoSES results to a wider public. In particular, the Early

Prototype implements basic versions of the Energy Efficiency Services related to On-line Diag-

nostics of Energy related Problems and Continuous Improvement of Energy Consumption. The

AmI-MoSES Project Main Goals

AmI-MoSES Project Presentation Page 10

first service provides suggestions for appropriate actions for energy efficiency problem elimina-

tion, whereas the second provides functionalities to reduce the frequency of occurrence of such

problems by offering re-design suggestions to AmI-MoSES users.

The AmI-MoSES Early Prototype was tested within the framework of industrial business cases

in order to verify the fulfilment of some critical end users’ requirements. As a result, these tests

allowed the consortium end-users to provide valuable recommendations to the developers. This

feedback has been used as inputs to refine the requirements and to iteratively boost the develop-

ment of the system Full Prototype (M30), which covers the initial and refined requirements in

strong collaboration with end-users. The developed full prototype has been installed in the busi-

ness case environments to provide the envisaged services, enabling the test of the integrated pro-

totype solution in real industrial environments. The AmI-MoSES business cases serve as Euro-

pean technology showcases for the effective validation and efficient demonstration of the poten-

tial business benefits envisaged by the AmI-MoSES project.

1.5 Innovations

AmI-MoSES main originality lies in an effective combination of technology for energy use

measurement, Ambient Intelligence technologies and Knowledge Management approaches to

optimise life-cycle-oriented energy use monitoring of manufacturing systems. Ambient Intel-

ligence information and knowledge gathered within an Extended Enterprise environment along

different life-cycle phases of a manufacturing system represent an untapped resource for optimi-

sation of life-cycle-oriented energy use monitoring of industrial installations and processes and

for provision of Energy Efficiency Services over the whole life of manufacturing systems (for

example, knowledge and experience gained within the ramp-up phase of a line can be effectively

re-used in later phases). Ambient Intelligence systems (in combination with information from

other classical sources) can cost-effectively provide on-line valuable knowledge needed to op-

timise the energy use of a manufacturing system (for example, derivation of Energy Use Parame-

ters, etc.) and to establish different Energy Efficiency Services. Such information was very diffi-

cult, if not impossible, to obtain in the past (especially on-line), often leading to cost intensive

and incomplete energy use monitoring and control. Thus, the AmI-MoSES project is practically

the first attempt to provide an approach to effectively utilise the advantages of this new on-line

source of information/knowledge (which enables much faster reaction to life-cycle problems)

to radically improve energy use in manufacturing systems.

The introduction of Ambient Intelligence technologies in general and specifically in manufactur-

ing industry is still in an initial phase. However, as the application of Ambient Intelligence in

shop-floor environment is promising to bring considerable advantages regarding flexibility, re-

configurability and reliability of manufacturing systems, and as the capabilities of Ambient Intel-

ligence technology are permanently improving, reaching industrial standards, while, in the same

time, prices are continuously going down, development and implementation of new manufactur-

ing concepts based on Ambient Intelligence systems are very likely to emerge in mid and long-

term view. It can be expected that in the next future a high number of industrial companies –

including small and medium sized enterprises – will have already introduced different Ambient

Intelligence technologies in shop-floor serving different purposes (for example, configuration

free manufacturing lines, etc.). On the other hand, manufacturing technology vendors will need

to equip their machines, robots, tools with additional Ambient Intelligence features and utilise

the advantages of Ambient Intelligence integrated within the shop-floor environment to provide

new functionalities (for example, self-configuration, context-sensitivity, etc.) and improve per-

formances of their products. The AmI-MoSES project focuses on one of the important potentials

of a combination of Ambient Intelligence and knowledge management technologies - the one

related to optimisation of energy use in manufacturing systems and provision of Energy Effi-

ciency Services. The project has investigated how emerging Ambient Intelligence and

knowledge management technologies already applied or to be applied in a near future can be

AmI-MoSES Project Main Goals

AmI-MoSES Project Presentation Page 11

used to improve life-cycle-oriented energy use monitoring of manufacturing systems, benefiting

both vendors and users of manufacturing systems.

AmI-MoSES Project Data

AmI-MoSES Project Presentation Page 12

2 Project Data

2.1 List of Participants

Table 1: Consortium members

No Partner/ Role

Key expertise Logo

1 ATB

Coordinator

RTD

DE

Development of industrial KM applications and Ambient Intelligence related solutions, Service Oriented Architec-ture-based platforms and collaborative services. Complex Event Processing

2 TECNALIA

RTD

ES

Development of industrial knowledge management applica-tions and Life-cycle Management related studies.

3 RIFOX

SME

DE

Design and manufacturing of steam, gas and compressed air processing equipment.

4 VICINAY

SME

ES

Design and manufacturing of chains and other components for mooring systems.

5 MBAS

SME

UK

Designing, assembling, installing and servicing equipment for compressed air, power tools, pneumatics, robotics and material handling. Energy efficiency consultancy services (energy audit, solutions to problems identified by the au-dits).

6 Reimesch

SME SW Vendor

DE

Remote monitoring and control systems, engineering ser-vices in the fields of high-frequency digital technology and software development.

7 DISTEC

SME SW Vendor

ES

Remote monitoring systems for energy consumption. Con-trol systems for industry.

8 Solvera

SME SW Vendor

SI

Information and communication technology solutions for energy management in industry.

9 VTT

RTD

FI

Life-cycle management aspects, energy consumption mon-itoring and development of industrial applications and life-cycle related studies.

2.2 Consortium

In order to ensure the necessary expertise for successful realisation of Research and Technologi-

cal Development tasks and to minimise potential risks in achieving the goals, AmI-MoSES con-

sortium includes nine partners, out of which three are Research and Technological Development

partners, three Information and Communication Technology vendors (with DISTEC and

Reimesch being provider of monitoring and control systems and Solvera being provider of ener-

gy management related solutions), and three end-user partners providing complementary applica-

tion scenarios. The partners have been carefully chosen for a successful completion of the project

AmI-MoSES Project Data

AmI-MoSES Project Presentation Page 13

and for an optimal distribution of competences and responsibilities. The consortium includes the

necessary and sufficient number of complementary partners covering all the required multi-

disciplinary expertise to successfully carry out the required Research and Technological Devel-

opment tasks as well as to assure a manageable project structure.

The consortium end-users have provided industrial testing environments, some of the major

technical inputs including the energy measurement equipment, energy consumption monitoring,

energy auditing and energy saving expertise.

2.3 Costs

Project Costs Commission Funding

2.780.434,75€ 2.000.000,00€

2.4 Project Realisation

From To

01/09/2008 31/08/2011