6EP1935-6MD11 SIEMENS Multifunctional Processor Module

Product Advantages

1. Increased Performance and CPU Offload: Relieves the primary controller’s CPU of non-real-time, high-demand tasks (e.g., data processing, complex algorithms, vision systems), ensuring the main control loop maintains its performance.
2. Openness and Customization: Offers a platform for customized, high-level language extensions (e.g., C/C++, Python) and the use of specialized software/algorithms, allowing users to integrate unique technological expertise.
3. Edge and IIoT Integration: Acts as a gateway or platform for Edge Computing, enabling local data processing, analysis, and pre-processing before data is sent to the Cloud or higher-level IT systems (ERP/MES), supporting the Industrial Internet of Things (IIoT).
4. Integration of Vision and AI: The inclusion of a GPU allows for the execution and acceleration of demanding routines like machine vision analysis, quality checks, and Artificial Intelligence (AI) algorithms directly at the control level.
5. Data Processing Flexibility: Supports various data handling concepts, including local storage, cloud-based data handling, and hybrid approaches.
6. Consolidation: Allows the merging of previously separate applications (PC-based tasks and control) onto a single, robust industrial platform, simplifying hardware and maintenance.
7. Future-Proofing: Provides a flexible, scalable architecture ready for emerging digital technologies and complex computations.

Product Applications

• Edge Computing: Local execution of Edge Apps (e.g., SIMATIC Flow Creator) for condition monitoring, data aggregation, and pre-processing close to the machine.
• High-Level Language Applications: Running customized software for tasks such as:
  • Implementing proprietary or complex algorithms.
  • Developing protocol converters for specialized communication.
  • Connecting to databases (SQL, NoSQL).
  • Integrating and processing data from vision systems (e.g., cameras, smart sensors).
• Artificial Intelligence (AI) / Machine Learning: Accelerating and executing trained AI/ML models for applications like quality inspection, predictive maintenance, and smart object recognition.
• IT/OT Convergence: Serving as an interface between the Operational Technology (OT) of the control system and the Information Technology (IT) world, facilitating seamless horizontal and vertical data exchange.

Important Considerations

• Engineering Environment: Requires integration and configuration within a unified engineering framework (e.g., TIA Portal) to set up communication and data exchange with the main controller.
• High-Level Language Expertise: Utilizing the full potential of the platform often requires knowledge of high-level programming languages (C/C++, Python) for custom application development.
• Operating System Management: While generally pre-installed, managing and updating the separate operating system (e.g., Industrial OS) and deployed applications must be considered.
• Security: As with any IT/OT integration, robust cybersecurity measures (e.g., Security Integrated features like access control, manipulation protection) must be implemented and maintained.
• Power and Environment: Ensure the module’s environmental specifications (temperature, vibration, power supply) are met for reliable operation in industrial settings.