Research and development

As a world-class provider for intelligent environmentally sustainable hydraulic systems and automation solutions we seek to improve our customer’s competitive edge, by helping them solve problems with innovative solutions that help produce time and cost savings. To accomplish this we are constantly researching, testing and implementing new technologies and concepts by actively participating in both national and international research projects.

For the last 10 years we have been participating in TEKES, EU Framework Programme, Artemis JU and ITEA funded projects. Working together with both academic and industrial partners from many different countries we have a common goal in mind; to push technology forward, improve our productivity, quality and competitive edge, but most of all, to satisfy our customer base.

Feel free to browse our R&D section for news on both of the past and present projects we are participating in.

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The Arrowhead project started March 1st 2013 and has a duration of four years.

Our society is facing both energy and competitiveness challenges. These challenges are tightly linked and require new dynamic interactions between energy producers and energy consumers, between machines, between systems, between people and systems, etc. Cooperative automation is the key for these dynamic interactions and is enabled by the technology developed around the Internet of Things and Service Oriented Architectures.

The objective of the Arrowhead project is to address the technical and applicative challenges associated to cooperative automation:

  • Provide a technical framework adapted in terms of functions and performances
  • Propose solutions for integration with legacy systems
  • Implement and evaluate the cooperative automation through real experimentations in applicative domains: electro-mobility, smart buildings, infrastructures and smart cities, industrial production, energy production and energy virtual market
  • Point out the accessible innovations thanks to new services
  • Lead the way to further standardization work

The strategy adopted in the project has four major dimensions:

  • An innovation strategy based on business and technology gap analysis paired with a market implementation strategy based on end users priorities and long term technology strategies
  • Application pilots where technology demonstrations in real working environments will be made
  • A technology framework enabling collaborative automation and closing innovation critical technology gaps
  • An innovation coordination methodology for complex innovation “orchestration”

For more information visit the website: http://www.arrowhead.eu/

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Pro-active Decision Support for Data-intensive Environments

ASTUTE aims at defining reference architecture for the development of HMIs, targeting proactive information retrieval and delivery based on situational context, as well influenced by information content and services, and user state information. This architecture will support the user intentions, optimizing the choices available to the user, while keeping the user in control of the situation. Verified by demonstrators, the architecture will allow for multiple instantiations for different domains such as avionics, automotive and emergency management.

The ultimate goal is to develop a platform for building embedded products that capture and act upon user intentions thereby taking into account the user’s context (i.e. user environment and all the factors which will influence the user performance) and state (i.e. aspects determining the ability of the user to perform in a given situation). The challenge is to seamlessly access relevant multimodal information in a context-sensitive way. For instance, in the aviation domain, this architecture will be used in novel design of the flight deck alerting and notification system. Pilots will receive alerts and notifications via a multimodal interface which selects the appropriate modality on the basis of the context and the user state. In the automotive domain, the system will integrate information from various sources (camera, physiological parameters, etc.) to proactively present decision support information, at the right level of detail according to the context, by discarding annoying or distracting low level information.

For more information visit the website:  http://www.astute-project.eu/

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Embedded systems Service-based Control for Open manufacturing and Process automation

eScop aims to overcome the current drawbacks for the shop floor control level such as MES and deterministic / real-time control, thus improving the state-of-the-art of the overall production control system architecture. This goal is achieved by introducing an innovative approach based on the combination of 3 different pillars, namely: i) embedded systems, ii) ontology-based knowledge management and iii) service-oriented architecture.

One of the main results for the eScop project is a service-oriented middleware that should allow to build and simulate factory and process control systems. On a general level, the proposed eScop architecture is composed of three layers i) Physical layer, ii) Representation Layer and iii) Orchestration Layer.

For more details visit the website: http://www.escop-project.eu


escop_image1.jpegASTUTE_image2.jpegescop_image3.jpegescop_image4.jpeg

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Cloud Collaborative Manufacturing Networks (C2NET)

WHAT IS C2NET?

The goal of C2NET Project is the creation of cloud-enabled tools for supporting the SMEs supply network optimization of manufacturing and logistic assets based on collaborativedemand, production and delivery plans. C2NET Project will provide a scalable real-time architecture, platform and software to allow the supply network partners:

  • To create cloud-enabled tools
  • To support the SMEs supply network optimization of manufacturing and logistic assets based on collaborative demand, production and delivery plans

PROJECT OBJECTIVES

  1. Increased capability for better and faster reaction to market changes by being able to use holistic global and local optimization algorithms in a collaborative value chain 
  2. Reduced complexity of production systems by at least an order of magnitude through an interoperable de-centralised architecture approach and interoperability frameworks
  3. Productivity increase of about 30% through the enhanced utilisation of resources and information taking a holistic view in a collaborative value chain

PROJECT RESULTS

  1. To develop a new approach for facilitating collaborative demand, production and delivery plans along the supply network.
  2. To provide new tools for supporting the supply network optimization of manufacturing and logistic assets.
  3. To securely store relevant information from supply network partners in public cloud, community cloud or private cloud, ensuring data security and provide the ability of data sharing and data analytics.
  4. To support decision-makers with intuitive UIs that display in real-time the right data at the right time, built in advanced apps for mobile devices for selective management functionalities across the supply network.

For more information visit the website:  http://www.c2net-project.eu/

 

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Past projects

ASTUTE –  Pro-active Decision Support for Data-intensive Environments 

2011-2014

IMC-AESOP – ArchitecturE for Service-Oriented Process-Monitoring and Control.

2010-2013 

eSONIA – Embedded Service-Oriented Monitoring, Diagnostics and Control: Toward the Asset-aware and Self-Recovery Factory.

2010-2013

SAMIA – Service-based Monitoring for Industrial Ambients.

2009-2010

SOCRADES – Service-Oriented Cross-layer InfRAstructure for Distributed smart Embedded deviceS.

2006-2009

RI-MACS – Radically Innovative Mechatronics and Advanced Control Systems.

2005-2008

SODA – Service Oriented Device and Delivery Architecture.

2006-2008

 

 

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