Simulation and Training/Digital Twin
Overview
A full-scope simulation system, modeled on real-world renewable energy (wind, solar, energy storage) equipment and systems, provides comprehensive training in renewable energy plant operations, fault handling, and maintenance. The renewable energy digital twin system adheres to the principles of "visualization, panoramic integration, and intelligence", enabling panoramic monitoring, real-time perception, autonomous inspection, health assessment, risk prediction, and remote interaction of equipment. This enhances renewable energy plants' risk prevention capabilities and refined, lean operation and maintenance practices.
Features
Operations and Maintenance
- Through algorithmic models integrated with 3D interfaces, the system replicates renewable energy plant equipment operations, inspection workflows, maintenance procedures, and disassembly training.
Fault Simulation
- Covers industry-relevant and potential faults and anomalies, ensuring simulation results align with actual on-site fault phenomena.
3D Digital Twin
- Leverages a 3D digital twin model to recreate on-site working scenarios with high precision and detail from multiple angles and dimensions.
Assessment and Management
- Enables flexible control over training modes, content, and progress, supporting question design, operational monitoring, and training management for evaluation and scoring.
Benefits
3D Simulation
The renewable energy simulation training system features algorithmic models and 3D interfaces that mirror real-world systems in both visual effects and operational mechanics. This allows trainees to perform various tasks in the simulated environment as if they were working on-site, creating an immersive experience that enhances practical operational skills.
Fault Drills
The system trains station operators in routine operations, real-time monitoring, outdoor equipment inspection, anomaly identification, and the ability to analyze, diagnose, and resolve faults. This strengthens on-site safety management capabilities.
Flexible Scalability
The simulation system delivers stable performance, practical functionality, and ease of maintenance. It is highly adaptable, modifiable, and expandable. Built on a self-developed simulation platform, the system ensures adaptability, openness, scalability, and maintainability.
Twin Visualization
Guided by the principles of "visualization, panoramic integration, and intelligence", the system establishes a unified digital twin-driven smart operation and maintenance framework for renewable energy plants. It delivers intelligent facilities equipped with digital modeling, holographic sensing, ubiquitous connectivity, autonomous alerts, and seamless interaction. These capabilities enable panoramic monitoring, real-time status tracking, self-guided inspections, automated health evaluation, proactive risk forecasting, and remote collaborative control, significantly enhancing plants' risk resilience and precision-driven operational efficiency. The outcome is safer maintenance protocols, optimized resource allocation, and streamlined management processes.
Typical Cases
Digital Twin System for Datang Guangdong Shantou Nan'ao Lemen Offshore Wind Power Expansion Project
This project leverages 3D visualization technology for offshore wind power digital twins to provide multi-dimensional displays of critical operational data and monitoring metrics from primary and auxiliary control systems. The system integrates data from the smart wind farm's primary and auxiliary monitoring systems, enabling unified analysis of all data streams. Key functionalities include intelligent wind farm monitoring, digital twin management of critical equipment, fault prediction and remote diagnostics, and early warning capabilities. These features enhance operational efficiency, equipment reliability, and predictive maintenance for the offshore wind power facility.
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