Computer-aided verification methods are being created as fresh impetus for Industry 4.0 developments. Photograph: IMMS.
Computer-aided verification methods are being created as fresh impetus for Industry 4.0 developments. Photograph: IMMS.


Analog Coverage in Nanoelectronics

Computer-aided verification methods are being developed to accelerate the design of Industry 4.0 applications.

At the basis of all the smart systems which can function as part of the Internet of Things and of all the high performance applications needed in Industry 4.0 lies the technology contained in complex, highly integrated micro-electronic chips. The System-on-Chip (SoC) technology compresses numerous elements and functions, both analogue and digital, into the narrowest of space, crowding together sensors, actuators and signal processing.

Any errors in the design of the integrated circuits may impact on turnover to the tune of several hundred million dollars. They can cause costly downtime and, far worse, highly expensive product recall, repair and replacement. In order to keep such risks to a minimum, designers strive to recognise any faults as early as possible in the design process.

There is a further imperative: to design yet smarter and thus even more complex systems to meet new demands in the context of Industry 4.0. Research is focusing on the development of many new system components for the future. How these will interact with current methods can as yet only be tested in experimental setups. In anticipation, the ANCONA project partners are working on computer-aided procedures which will provide reliable testing of complex systems even at the design stage and prove their functionality. These procedures are intended to simplify and significantly accelerate the design process for mixed analogue and digital circuit systems. They will boost innovation potential and give their user a competitive edge.

The specific development task of IMMS is to focus on design methods which will, among other things, integrate the coupling of the components into system models and enable the models to be efficiently simulated. Moreover Reference is made to previous studies like GreenSense and EROLEDT.

Website of the project coordinator edacentrum e.V.

  • Funding

    This work is funded by the BMBF (Federal German Ministry of Education and Research) in the IKT 2020 programme as part of the ANCONA project (funding reference 16ES021) and is also supported by industrial partners, Infineon Technologies AG, Robert Bosch GmbH, Intel AG and Mentor Graphics GmbH.