We provide EU funding and world-class technical support to engineering and technology businesses.

Find out more about who we are and what we do

Stay in Touch

EventBrite logo Twitter logo RSS logo Linked In  logo Email us

Join our mailing list

Join our mailing list to receive notification of CPSE Labs events and upcoming calls

Smart Anything Everywhere

Cyber-Physical Systems Engineering Labs is part of the Smart Anything Everywhere initiative.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644400.

BACON (Big dAta and Cps value chain cOmpletioN)

Problem and solution

The BACON experiment aimed at integrating technologies that contribute to different ends of the Digital Manufacturing value chain. On the manufacturing facility and shop-floor level, controllers and sensors produce data that can provide value for monitoring or analysis tasks. On the other end, on the information systems level, big data analytics and data visualisation technologies are needed to leverage this value. Specifically, BACON combined CPS, Integration and Big Data concepts and expertise from two innovative SMEs: Information Catalyst for Enterprise (ICE) provides technologies for Big Data, Service Orchestration/ESB, Transformation, and Business Interoperability, while Control2K (C2K) are experts in Adaptive Systems, Manufacturing Control, PLCs, and CPS. The objective of the experiment was to develop a new tool-set, interoperable along the manufacturing information value chain, that production companies, particularly SMEs and those utilizing CPS, can take advantage of. The central aim was to bring efficiency and scalability in information value chain creation and completion within the manufacturing sector.

The BACON concept combined the existing C2K Industreweb PLC, CPS/Sensor solution, which monitors shop-floor manufacturing assets, with ICEs open source Data Platform (including semantic interoperability), which is based on the Talend studio platform through a common off-the-shelf ESB process designer/executor. The industrial strengths of these products are proven, but BACON took these Technical Readiness Level 9 (System operational) technologies, and combined and reformulated them together to create a new platform baseline at Technology Readiness Level 6 (Demonstration in relevant environment). As part of this, BACON also expanded the C2K Industreweb platform with Eclipse 4diacâ„¢ PLC interconnectivity as an additional monitoring gateway, and demonstrated and verified the platform in the context of a manufacturing scenario utilizing common automation controls amongst others.

The result of the BACON is an interoperable architecture and toolset (CPS → PLC → Production Control → Service Orchestration → Big Data → Manufacturing Analytics and Visualization) which is adaptable through further gateway additions and the ability to integrate other applications such as ERP logistics through the ESB/Process designer. The CPS demonstrator has been implemented at Control 2K's facility at the Waterton Technology Centre, and acts as an ongoing showcase and training facility for the value-chain completion solution within the manufacturing domain.

BACON project

How did CPSE Labs Help?

BACON partnered expertise to build a homogeneous, yet customizable, solution bringing together skills, knowledge and experience of both SMEs. This pooling of resources facilitated a fast track to technology and product maturity for the overall platform, cross sales and marketing, and contributed to reducing development efforts. For example, C2K has been considering an upgrade to its Industreweb platform with service orchestration/ESB functionality and ICE has been evaluating how it can connect into the Manufacturing and CPS fields beyond its more classical eBusiness scenarios. BACON thus enabled a new product/service between the two companies exploitable individually and jointly (cross sell/consult). Furthermore, the jointness of the approach provided the most benefit and shows the value chain. Independently C2K will primarily benefit from the knowledge gained from implementing functionalities with Eclipse 4diac, and ICE in the improvement and flexibility created in its Data Management Platform.


The manufacturing information value chain connected the commercial expertise and knowledge of the collaboration between ICE and C2K, so forming a business partnership to develop commercial opportunities. Both SME partners have added to their market stack of production support products / services enabling new business opportunities to be realised. Collaborative activity between the two companies working on complementary innovations has been established, thus providing a win-win exploitable partnership 'best of breeds' and commercial opportunity. The potential is to expand both companies reach, ability to solve practical customer challenges, and reduce their development efforts, through a combined service offering in the information and product manufacturing fields.

The BACON experiment is relatively generic to any production/manufacturing industry (food, chemicals etc.) that uses in the manufacturing facility or the shop-floor PLCs, sensors, etc. Further that those industries have a need to monitor, control, and analyse the manufacturing activities and so exploiting their CPS, Sensors and Data. It is also tier-vertical, i.e. the intent is to make it equally relevant to Tier-1 as to Tier-N suppliers, although noting that the commercial sphere of the BACON participants tends to deal with SME - Mid-size organisations, which are prevalent in supply chains related to the experiment partners' sweet-spot.


The project provided an extensible integration of technologies of the two involved companies as well as a new integration of Eclipse 4diac into the new data acquisition and analytics framework. The latter resulted in an extension of Eclipse 4diac to support also the ODROID platform as well as a first extended test of the new analogue input infrastructure of Eclipse 4diac. In summary, the results of the experiment include the following:

  • An extensible architecture that allows the extraction, storage and analytics of CPS data
  • An API to support the extraction and transfer of CPS data
  • An extensible data model to support the storage of CPS data in a big data platform
  • Algorithms and techniques for big data analytics
  • Integration of Eclipse 4diac and using Eclipse 4diac for extended measurements
  • Evaluation of the result in a bottling machine
Design centre

This experiment is supported by our Germany South design centre

Germany South design centre

Technology platforms

4DIAC Logo



1st Mar 2016 - 28th Feb 2017
Funded under: CPSE Labs Call 2