Sorter Real-Time Dashboard | Digital Twin Model by Dasstec
Dasstec develops its own software and user interface. The aim is to make it even easier for users to carry out their daily activities. The Digital Twin model is the most advanced one integrated by Dasstec and optimizes operations for maximum efficiency. AI Vision | Predictive Maintenance | Digital Twin | Operational Intelligence.
Digital Twin by Dasstec
Visibility. Control. Faster decisions.
The new Dasstec HMI interface provides a comprehensive, real-time overview of transportation and sorting operations, from monitoring packages and equipment to reporting and operational analysis. The model Digital Twin integrates Data connection – Virtual representation – Analysis and simulations – Feedback loop.
The information obtained from the digital twin can guide actions in the real world, such as adjusting settings, scheduling maintenance, or redesigning a process.
Digital Twin
An operational platform with real-time visibility and control.
Information obtained from digital twin can guide real-world actions, such as adjusting settings, scheduling maintenance, or redesigning a process.
✔️ AI Vision ✔️ Predictive Maintenance ✔️ Digital Twin ✔️ Operational Intelligence ✔️ Performance Optimization ✔️ Simulation and Testing ✔️ Remote Monitoring ✔️ Risk Management ✔️ Product Design ✔️ Training
✅ Complete visibility into the logistics flow ✅ Quick response time to incidents ✅ Reducing Downtime ✅ Centralized control of the entire automation system ✅ Decisions Based on Operational Data ✅ Process Monitoring ✅Turning the equipment on or off ✅ Modificare parametrii ✅View Alarms and Errors ✅Tracking Key Performance Indicators (KPIs) ✅ Diagnosing problems.
The Digital Twin Model
✅ Data connection
Sensors, IoT devices, logs, ERP systems, SCADA systems, surveillance cameras, maintenance records, and operational databases transmit data from the real system to the virtual one.
✅ Virtual representation
A software model that represents the structure, behavior, state, and performance of the equipment.
✅ Analyses and simulations
Artificial intelligence, machine learning, physical models, rules, and simulations are used to predict what might happen next.
✅ Feedback loop
Information obtained from digital twin can guide real-world actions, such as adjusting settings, scheduling maintenance, or redesigning a process.
✅Predictive Maintenance: detecting faults before they occur.
✅ Performance optimization: improving efficiency, speed, costs, or energy consumption.
✅ Simulation and testing: testing scenarios without putting the actual system at risk.
✅ Remote monitoring: view the asset's status from anywhere.
✅ Product design: improving future versions based on real-world use.
✅ Training: creating realistic environments for operators.
✅ Risk management: testing emergency or failure scenarios.
Technical Characteristics | Key Features
1. Real-time tracking of packages in transit
Track all packages and products in transit through a dynamic live-view interface that provides complete visibility into the entire product handling process in real time.
2. Smart resizing of objects based on their actual dimensions
Visual objects are automatically resized based on the actual dimensions reported by the 2D planning system, ensuring an accurate digital representation of the physical process.
3. Object Recognition Using Machine Learning
Advanced artificial intelligence and machine learning algorithms enable the automatic recognition and classification of objects, such as vehicle tires, packages, and other types of customized products.
4. Centralized Monitoring and Control of Equipment
Operate, monitor, and manage all automation equipment from a single, intuitive interface, reducing operational complexity and improving system efficiency.
5. Real-Time system status & Smart Alerts
Instant visibility of automation status, combined with real-time alarms and notifications, enables faster troubleshooting, reduced downtime, and improved maintenance response.
6. Fully customizable reporting dashboard
Generate customized reports tailored to each customer’s operational requirements, KPIs, and performance metrics for enhanced decision-making.
7. Comprehensive user activity tracking
Detailed audit trails and activity logs provide complete transparency regarding user actions, system interactions, and operational changes.
8. HMI optimized for mobile devices and responsive
Access the HMI platform from desktops, tablets, and mobile devices via a fully responsive interface designed for optimal use on all screen sizes.
9. Seamless integration with external devices
Connect and communicate easily with third-party systems and equipment, including AGVs (automated guided vehicles), AMRs (autonomous mobile robots), scanners, video cameras, ERP systems, and warehouse management platforms.
10. Scalable storage of historical data
The secure database architecture stores the complete operational history, system events, alarms, and production data, with retention periods that can be configured to meet customer requirements.
11. AI-Powered Vision-Based Package Recognition
Integration of advanced AI cameras and vision systems capable of identifying and tracking actual products on conveyors. Instead of displaying generic, scalable objects, the HMI will present actual images of the products and real-time visual representations.
12. Predictive maintenance & AI Analytics
Implementation of predictive maintenance algorithms capable of identifying potential equipment failures before they occur, minimizing downtime and optimizing maintenance planning.
13. Digital Twin Visualization
Creation of a real-time digital twin of the entire automation system, providing a highly realistic and interactive operational overview.
14. Advanced Operational Intelligence
AI-driven analytics delivering performance insights, process optimization recommendations, bottleneck detection, and automated reporting.
