Modular Digitalization Concepts for Multi-Variant Production

Individualized productions such as those in the Photovoltaic Technology Evaluation Center (PV-TEC), ), place high demands on the flexibility of software systems for production monitoring and the collection, interlinking and analysis of the resulting data due to the wide variety of manufactured products and the continuous change in production capabilities and processes. Conventional production control systems can only cope with this to a limited extent, due to the need to adapt operating processes to these systems and the considerable configuration and maintenance effort involved.

We therefore develop innovative modular digitalization concepts for planning and tracking production orders and collecting and analysing the resulting data, which meet the requirements of individualized productions. In addition to the selection and implementation of suitable NoSQL databases and the development of customized metadata models we develop specific applications for master data management, material management, experiment planning and order tracking as well as for data acquisition, data filtering, data analysis and dynamic report generation. In doing so, we attach importance to an open and easy-to-use interface to the database network, which enables the customer to connect their own analysis and reporting tools to the system with little effort.

Our "SmartCell" software solution is characterized by:

  • a scalable, micro-service-based software architecture
  • a container-based software implementation and the use of a modern development & operations (DevOps) platform that ensures CI/CD (continuous integration, delivery & deployment) and thus short development cycles
  • provision of a uniform "single source of truth" data interface for all applications

The system is therefore easy to expand, efficient to administer and variable to integrate. We ensure code quality through the use of professional development and operation strategies. Our software ECO system thus fulfills the essential requirements for productive use in an industrial environment and is successfully used in the PV-TEC laboratory of Fraunhofer ISE.

"SmartCell" applications
© Fraunhofer ISE
Overview of the use cases covered by the "SmartCell" system with the associated modules (apps), which are grouped together as a micro-service architecture via the "Single Source of Truth" interface.
Application for experiment planning (»ExpPlanApp«): Complex experiment plans with several experimental groups and a high level of variation (here in two stages in two process steps) are configured and visualized in a matrix view (left) and/or graph view (right).
© Fraunhofer ISE
Application for experiment planning ("ExpPlanApp"): Complex experiment plans with several test groups and a high depth of variation (here two-stage in two process steps) are configured and visualized in a matrix view (left) and/or graph view (right).
Application for order tracking (»MonitorApp«): Work progress is automatically determined on the basis of the stored data and/or check-in processes, which enables a seamless and simple recording of ad-hoc steps.
© Fraunhofer ISE
Application for order tracking ("MonitorApp"): Work progress is automatically determined on the basis of stored data and/or check-in processes, enabling ad hoc steps to be recorded easily and without gaps.
© Fraunhofer ISE

Process of capturing, pre-processing, archiving and providing data in separate but grouped databases for metadata (Graph DB) and production data (Document DB) as well as file-based image data..

Our R&D services include:

  • support for the digitalization of data acquisition in variety-rich production environments
  • analysis of the digitalization needs of existing production environments
  • development and implementation of customized software solutions for production monitoring based on the "SmartCell" software ECO system
  • adaptation of existing applications to individual customer requirements
  • development of new applications according to customer requirements
  • efficient provision of existing data analysis tools
  • development and implementation of new (AI-based) data analysis tools
  • training in the operation of the software system

Further Information on this Topic

Research Topic

Artificial Intelligence and Data Management

Business Area

Photovoltaics:​ Production Technology and Transfer