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Digital twin for industrial plants

Digital twin for industrial plants

Digital monitoring & process evaluation, deployment optimization

The first step for the implementation of efficiency measures is the analysis of the current situation. Since companies often lack the metrological infrastructure, the AIT offers this service. We have many years of expertise and experience and can therefore identify the right measurement parameters and analyse process and energy flows, consisting of exergy and anergy, in order to derive economic efficiency measures. In addition, we provide you with a data-based model of the process that enables you to evaluate the effect of possible measures using this digital twin.

An essential point for the economic use of resources is digitalization, i.e. an electronic and dynamic recording of the process. The interplay of the temporal course of the energy demand of a process and the energy price predictions makes a much more economical way of driving possible. AIT offers you extensive experience in this area and supports you in planning and implementation.


Our spectrum ranges from

  • individual systems and components via
  • processes and procedures up to
  • Production sites

Our services

  • Creation of digital twins for production
  • Digital mapping and integration of systems and components
  • Evaluation and analysis of operating data and determination of key figures
  • Tailor-made operational optimization
  • Technical and economic feasibility studies, potential analyses and derivation of catalogs of measures

Your benefit

  • Product and production optimization
  • Cost optimization of production processes through model-based sensitivity analyses
  • Reduction of operating costs
  • Investment decision support
  • Preservation of core knowledge and faster training of new personnel
  • Optimization of production processes
  • Prioritized catalogs of measures
  • Independent technology assessments
  • Operating data analyses
  • Demonstration of integration possibilities of components and plants for economic waste heat utilization

Our methods

  • Digitization, horizontal and vertical networking, data acquisition and visualization
  • Digital twins in the form of functional mockup units and neural networks
  • Edge and Cloud Computing
  • Simulation and design of control and regulation concepts for electrical, thermal and mechanical systems
  • Statistical methods for classification, regression analysis, validation, optimization and prediction

Reference Projects


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