In a highly connected industrial environment, efficient process management requires advanced systems that enable real-time visualization, analysis, and optimization of machine and production system performance. This Digital Twin Platform provides a comprehensive solution by combining industrial hardware with embedded models that accurately replicate the behavior of physical systems. The platform integrates various control devices, such as IPCs and PLCs, with advanced visualization tools that enhance monitoring and decision-making. Thanks to its flexible and scalable architecture, it ensures a seamless connection between the digital and physical environments in real-time, providing an accurate representation of industrial processes. Through customized HMI interfaces and connectivity with different automation systems, the platform enables advanced management of operational data. Its adaptability to multiple configurations and industrial settings makes it a key tool for optimizing efficiency and reliability in production processes.
Digitalization and Conectivity
Connectivity Module
(1) BECKHOFF CU2208 Ethernet Switch, (1) MARTING Ha-eCon2000 Ethernet Switch
Control Equipment
(2) PC INDUSTRIAL BECKHOFF C6930-060, (1) PC Industrial C6030-0060, (2) SIMOTION-D 6AU1445-2AD00-0AA0, (1) SIEMENS IPC ET200SP, (2) CPU SIEMENS SIMATIC S7-300, (1) PLC S7-1200, (1) PLC S7-1500, (1) Automation PC 910 B&R, (1) OMRON NJ101-9020
Industrial Power System
(2) TDF-Lambda D-PP480-24-1, (1) TDF-Lambda D-PP240-24-1, (2) RS PRO 120-24, (1) PHOENIX CONTACT 120-24, (1) EA 30-24
Multidomain Modeling Library
Modeling package for multidisciplinary systems in Simscape (Matlab/Simulink), covering mechanical, hydraulic, electrical, and other relevant domains.
Software Modules
- SIEMENS Wcc Unify v18 Engineering
- SIMATIC STEP 7 Professional V16 (2017) Combo Trainer Pack
- Step 7 Safety Combo
- S7-PLCSIM Advanced
- MATLAB/SIMULINK 2025
Real-time control of system status using embedded models and connectivity with automation devices.
Storage and processing of machine data for analysis and optimization.
Development of intuitive interfaces for real-time supervision and management of industrial systems.
Connectivity with PLCs, IPCs, and other industrial devices for unified process management.
Analysis and adjustment of operational parameters using data from the digital twin to enhance production efficiency.
Set of components developed in Simscape (Matlab/Simulink) for high-fidelity modeling of industrial systems, enabling analysis, optimization, and control