Fraunhofer Institute for Material Flow and Logistics IML
Fraunhofer Institute for Material Flow and Logistics IML

Technological requirements and integration of digital twins into existing IT infrastructures

How digital twins are seamlessly integrated into existing systems

Digital twins are powerful tools for optimizing logistics processes. Certain technological requirements must be met in order for them to develop their full potential. Integration into existing IT infrastructures requires a well thought out strategy to ensure smooth communication between digital twins and company systems.

From connecting to IoT sensors and using cloud technologies to integrating with existing ERP, WMS and TMS systems, digital twins are most effective when they are seamlessly integrated into a company's IT landscape.

Important technological requirements for digital twins

  • Data sources and IoT sensor technology
    Digital twins require real-time data from various sources, such as sensors, RFID tags and IT systems. A reliable IoT infrastructure is essential for data collection.
  • Data processing and cloud computing 
    Large volumes of data need to be processed efficiently. Cloud technologies enable the flexible scaling and storage of information, while edge computing ensures fast on-site data processing.
  • Artificial intelligence and machine learning 
    AI-supported algorithms help with the analysis, optimization and prediction of logistics processes. These technologies improve decision-making and make digital twins more intelligent.
  • APIs and interface management 
    An open API architecture facilitates the integration of digital twins into existing company systems such as ERP, WMS or TMS. Standardized interfaces prevent isolated solutions and enable seamless communication between systems.
  • IT security and data protection 
    As digital twins work with sensitive company data, robust security measures are required. Encrypted data transmission, access controls and compliance standards must be adhered to.

Integration of digital twins into existing IT infrastructures

  • Connection to ERP systems
    ERP systems (e.g. SAP, Microsoft Dynamics) are the central nervous system of many companies. Digital twins must communicate with these systems in order to process relevant data and provide real-time updates.
  • Networking with WMS and TMS 
    A digital image of warehouse and transport logistics only works with deep integration into warehouse management systems (WMS) and transport management systems (TMS). This allows stocks, picking processes and supply chains to be optimized in real time.
  • Use of cloud platforms 
    Cloud-based solutions offer flexible storage and computing capacities for digital twins. Hybrid approaches can be used to store particularly sensitive data in local data centers.
  • Automated data integration with IoT devices 
    The connection with IoT devices and sensors enables the continuous acquisition and transmission of real-time data required for precise simulations and optimizations.
  • Standardized APIs for seamless communication 
    Open API interfaces facilitate the connection of digital twins with existing IT systems and enable an expandable architecture for future adaptations.

Optimize your operations by mapping your physical processes with digital twins

The successful introduction of digital twins requires the right technological foundation and strategic IT integration.

 

Integrate digital twins efficiently into your IT infrastructure now!

 

 

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