Developing intelligent IoT systems for enhanced industrial operations and maintenance.
Development of sophisticated IoT systems that leverage distributed intelligence across the edge-cloud continuum for optimal performance and reliability.
Implementation of edge computing solutions for real-time data processing and analysis, reducing latency and bandwidth requirements.
Development of cloud-based analytics platforms for long-term data storage, advanced analysis, and pattern recognition.
Implementation of advanced monitoring and analysis systems for wind farm maintenance, utilizing cutting-edge sensor technology and analytics.
Development of sophisticated audio analysis systems to detect anomalies in turbine operation through sound pattern recognition.
Implementation of vibration analysis systems for early detection of mechanical issues and predictive maintenance scheduling.
Development of machine learning models for predictive maintenance, optimizing maintenance schedules and reducing downtime.