Digital Innovation Hubs Digital Innovation Hubs

CP Lab Newcastle

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Contact Data

Coordinator (University)

Newcastle University School of Computing

Coordinator website

https://www.ncl.ac.uk/computing

Year Established

2008

Location

USB 1 Science Square, NE1 7RU, Newcastle Unpon Tyne (United Kingdom)

Website

https://research.ncl.ac.uk/cplab/

Social Media

Contact information

Jon Warwick
jon.warwick@ncl.ac.uk
+441912088060

Contact information

John Fitzgerald
john.fitzgerald@ncl.ac.uk

Contact information

Ken Pierce
ken.pierce@ncl.ac.uk

Description

Description

CP Lab is based in Newcastle University and consists of  a team of multi-disciplinary researchers, with a primary focus on modelling and simulation for dependable cyber-physical systems. CP Lab is a key component of the University’s £58m investment in its Urban Sciences Building (USB) and consequently in urban sustainability research.

As part of the University, the Lab is non profit making and measures its success by the quality of its work (referenced by academic papers and conference talks) by engagement with external organisation and by the impact on the real world that such work has.

The Lab’s research focuses on CPS applications such as transport, agriculture, smart buildings and smart grids and our work is often associated with modelling platforms:

  • Overture – a tool supporting modelling in VDM notation
  • Crescendo – a tool supporting collaborative modelling between different engineering disciplines
  • Symphony – a toolsuite supporting modelling systems of systems

These tools allow visualisation and modelling of both cyber-physical systems and systems - of - systems and therefore reduce greatly the time and cost associated with development and enhancement of such systems. As part of the team who developed these tools from scratch, the Lab is well placed to offer expert advice and help to Organisations in need of such service. 

Link to national or regional initiatives for digitising industry

CP Lab was born from an EU FP7 Research Project COMPASS ICT-2011-287829). From there, as part of Newcastle University, it has taken part in others such as DESTECS, INTO-CPS, TAMS4CPS and ROAD2CPS. As part of the recent CPSE Labs project, the Lab was able to align iteslf closely with the EU Smart Anything Everywhere agenda. As part of the process on CPSE Labs we were able to make contact both with our regional LEP (Local Enterprise Partnership) and the National Catapult Centres to bring us in line with regional and national prioprities. As referencesd by our service examples, we are involved in English RIS3 strategies such as automotive and construction and we also are working on agriculture priorities too.

 

Market and Services

Market sectors

  • Agriculture, hunting and forestry
  • Electricity, gas and water supply
  • Transport, storage and communication
  • Education

TRL Focus

  • TRL1 - Basic principles observed and reported
  • TRL2 - Technology concept and/or application formulated
  • TRL3 - Analytical and experimental critical function and/or characteristic proof of concept
  • TRL4 - Component and/or breadboard validation in laboratory environment
  • TRL5 - Component and/or breadboard validation in relevant environment
  • TRL6 - System/subsystem model or prototype demonstration in a relevant environment

Services provided

  • Awareness creation
  • Ecosystem building, scouting, brokerage, networking
  • Collaborative Researchs
  • Concept validation and prototyping
  • Testing and validation
  • Mentoring
  • Education and skills development

Service Examples

Smart Energy Control

UES (Sp) currently use BIM a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption for heating, cooling, ventilation, lighting and plug and process loads and water use in buildings. In addition they use tools such as Overture and 20-sim designing the energy control systems of the buildings, but these tools do not provide needed domain-specific aspects. We worked with them on the integration of both to provide a full solution. The integration made it possible to design energy control cyber-physical systems taking advantage of the domain-specific models and simulation (BIM, energy simulator…) reducing design time and improving the energy efficiency of the developed systems. This enhancement of an industry standard tool, has the potential to help the whole indiustry better visualise whole building design.

More details: https://research.ncl.ac.uk/cplab/

Integrated Product Production

Although continuous process improvements efforts have been carried out by Continental Sibiu, current analysis indicates that endogenous and exogenous perturbations acting upon the heterogeneous systems responsible for manufacturing and testing of prototype parts are difficult to keep under control and very difficult to correlate with the quality of the finished prototype suspension product. There are many approaches that to a certain degree limit their influence, but they mainly involve the interpretation of technicians and no real-time information is available nor a possibility to determine the manufacturing context for a given part. 

We worked with Continental to prototype a CPS-based small-scale production system able to provide and exploit relevant field-data regarding perturbations during the components testing and to 

  • design and build an integrated product-production co-simulation for CPS-based industrial control solution. 

·       deliver a proof-of-concept for CPS-based production system as a feasible and promising approach to reengineer the factory of the future by employing the combined INTO-CPS and 4DIAC platforms 

  • achieve a long-term multiplication effect with the implemented demo by attracting other companies to develop, use and adopt CPS-based technology. 

More details: https://research.ncl.ac.uk/cplab/

De-Centralised Traffic Management

West Consulting B.V.  a Dutch SME were looking at a de-centralised CPS solution for Traffic Management, to include  control inside individual vehicles via GPS. Using the Overture tool family, we were able to supply 2D and 3D visualisations and provide support on dynamic re-configuration of the vehicles as they move around. West were able to use these visualisations to test various scenarios at low cost and in turn to produce a prototype tool for de-centralised traffic management. With further work, and buy in from Dutch Road authorities it is hoped that the tool will become comercially exploitable. This work in turn led to enhancements of the Overture toolset which we will be able to take advantage of in various other sectors

More details: https://research.ncl.ac.uk/cplab/

Organization

Organizational form

(part of) Public organization (part of RTO, or university)

Turnover

>5.000.000

Number of employees

>100

Evolutionary Stage

Fully operational

Geographical Scope

European

Funding

  • Horizon 2020
  • National basic research funding

Customers

Number of customers annually

>50

Type of customers

  • Start-up companies
  • SMEs (<250 employees)
  • MidCaps (between €2-10 billion turnover)
  • Large companies, multi-nationals
  • Research organisations

Partners

University of York

Partner Type

University

Website

https://www.york.ac.uk


Aarhus University

Partner Type

University

Website

https://international.au.dk


Siemens Mindsphere

Partner Type

Research & Technology organization

Website

https://new.siemens.com/uk/en/company/topic-areas/digitalization/the-mindsphere-innovation-network.html


ClearSy SAS

Partner Type

MidCap

Website

https://www.clearsy.com/en/


Verified Systems

Partner Type

SME

Website

https://www.verified.de


Continental

Partner Type

Large enterprise

Website

https://www.continental-corporation.com/ro-ro


West Consulting

Partner Type

SME

Website

https://www.west.nl


Loughborough University

Partner Type

University

Website

https://www.lboro.ac.uk


KTH

Partner Type

University

Website

https://www.kth.se/en


CNRS LAAS

Partner Type

Research & Technology organization

Website

https://www.laas.fr/public/

Technological competences

  • Cyber physical systems (e.g. embedded systems)
  • Robotics and autonomous systems
  • Internet of Things (e.g. connected devices, sensors and actuators networks)
  • Artificial Intelligence and cognitive systems
Last updated: 13/03/19 15:19