INDUSTRIAL ICT AND DIGITAL TWINS

We design and implement solutions that enable the control, optimization, and monitoring of on-site production processes. Our key tools include:

• MES (Manufacturing Execution System) for managing production operations and real-time plant control. Its main objectives are:
o Visualizing key indicators such as performance, availability, and quality (OEE).
o Monitoring the status of manufacturing orders.
o Logging incidents and downtimes manually, or justifying those recorded automatically.
o Controlling batch traceability, from raw materials to finished product.
o Managing work instructions and operational documentation digitally.
o Connecting with ERP systems to keep planning aligned with execution.

• Quality Control Software, integrating automatic records and digital inspections.
We offer a fully configurable module that allows clients complete flexibility to create new quality controls as needed.

• CMMS (Computerized Maintenance Management System) for managing preventive and corrective maintenance.
Designed especially for small and medium-sized companies with limited maintenance staff.
It is integrated with production and energy systems, enabling companies to plan and optimize maintenance processes while minimizing the impact on production.

• WMS (Warehouse Management System) and internal logistics, to improve stock and material flow management.
It provides real-time information on receiving, dispatching, and inventory levels. All this data can be connected to the company’s production systems, CMMS, and ERP to enhance control over supply, movement, and resource needs.

• EMS (Energy Management System) — an energy monitoring and control system that offers a detailed view of process consumption and its optimization.
This tool is also connected to other systems such as production control and maintenance management.

• Production Sequencers that assign and order operations based on resource availability or delivery priorities.
They help optimize plant workload and enable agile responses to unexpected events or changes in demand.

We connect our solutions with the client’s existing systems to ensure a continuous flow of information, avoid duplication, and enable data-driven decision-making based on consistent and up-to-date information. We work with:

• ERP systems (such as SAP, Navision, Odoo, Expertis, etc.)

• APIs and web services for bidirectional integration

• Databases from other company tools

• Commercial devices (e.g., attendance systems, etc.)

We collect real-time data from various sources, adapting to the client’s technological environment:

• Existing SCADA systems and PLCs

• Commercial sensors (temperature, humidity, energy consumption, etc.)

• Custom-developed sensor systems, integrable with our platform and other technologies within the center

Each of our solutions includes data processing and indicator visualization tools that support real-time decision-making:

• We can connect our solutions to other data sources to generate KPIs that integrate production, energy, maintenance, planning (ERP, CRM), or any other key business indicator.

• We create custom dashboards, KPIs, and dynamic reports. The tool also includes a BI module that allows clients to develop their own reports and indicators.

• We develop artificial intelligence algorithms to enable efficient data usage and provide guidance for Big Data needs. We apply predictive analytics techniques to anticipate failures, deviations, and improvement opportunities.

We develop solutions tailored to each use case, whether for shop floor users, technical staff, or management profiles:

• Native mobile applications for Android and iOS

• Cross-platform web applications, deployable on dedicated servers, contracted services, or in the cloud (AWS, Azure, etc.), adapting to the client’s preferences

We work in coordination with other technological units within the center to offer innovative, high-value-added solutions:

• Integration with AI Agent technologies (LLMs) to automate information extraction from documents (orders, invoices, etc.)

• Process automation with RPA, reducing repetitive tasks and improving operational efficiency

• Interactive visualization of 3D models, especially useful in training, maintenance, or engineering environments

• Adaptation and integration of physical models into client architectures, both IT and OT

• Connection with industrial control systems (PLCs, SCADA), IoT platforms, and databases

• Modular deployment via APIs, containers, and interoperability standards such as OPC-UA or FMI

• Synchronization of models with real data, in real-time or delayed, for validation and monitoring

• Applications: integration of physical models into SCADA environments, synchronization of plant data with simulations, connection with energy management system

• Development of turnkey solutions tailored to the client’s use case and technological environment

• Installation on cloud, edge, or private network infrastructure, with full support for commissioning

• Customization of interfaces, dashboards, and 3D or VR visualizations based on the end-user profile

• Training, functional validation, and technical support during the operation of the digital twin

• Applications: operational digital twins in water treatment plants, food industry facilities, or hydrogen installations for monitoring, optimization, and diagnostics

• Development of physics-based models using equations in Modelica and standards like FMI

• Simulation of thermal, hydraulic, electrical, mechanical, or biological systems

• Evaluation of different operating conditions and analysis of “what-if” scenarios

• Model validation using historical data, sensor readings, or test bench results

• Applications: optimization of thermal cycles, simulation of hydraulic networks, evaluation of biological reactor behavior

• Performance analysis of facilities using connected models

• Parameter tuning, control strategies, and operating modes to improve technical and economic KPIs

• Identification of critical points, efficiency losses, or overdimensioning

• Integration with energy management platforms or decision-support systems

• Applications: reducing energy consumption in chillers, improving performance in hydrogen systems, fine-tuning water treatment processes

• Asset monitoring by comparing simulated models with real-world data

• Early detection of deviations, anomalies, or performance degradation

• Support for maintenance planning and reduction of unplanned downtime

• Development of hybrid physical-data digital twins for critical assets

• Applications: fault detection in compressors, performance assessment of pumps, diagnosis of thermal variations in heat exchangers

• Generation of training scenarios in virtual or augmented environments

• Simulation of critical operations without risk to the facility

• Validation of new control modes and configurations prior to deployment

• Integration of real-time data for contextualized training

• Applications: VR-based operator training for WWTPs (Wastewater Treatment Plants), PID controller validation in pumping systems, personnel training in hydrogen plants

• Connection to PLCs, SCADA, databases, or IoT platforms using OPC-UA, MQTT, REST, etc.

• Visualization through custom dashboards, 3D displays, or immersive environments (Unity, Unreal)

• Deployment on cloud, edge, or private networks based on client requirements

• Integration into IT/OT architectures using containers, APIs, and interoperability standards

• Applications: web-deployed twins for remote monitoring, model integration into SCADA systems, interactive 3D visualization of asset status