Space-Air-Ground Integrated Energy Extraction and Transportation Monitoring & Sensing System

The iCNR satellite constellation has significant advantages in energy resource monitoring and supervision. It monitors energy extraction, geological subsidence and transportation routes in real time with high-resolution and all-weather capabilities, and transmits data back via narrowband IoT. It can dynamically monitor development, geological and ecological conditions, detect oil and gas leaks via infrared, and support energy transaction analysis with integrate AIS for transportation monitoring.

Multi-Fusion Data Model and Spatio-temporal Analysis Engine

For energy business, a multi-fusion big data model and energy spatio-temporal analysis engine have been built, accessing multi-source data such as energy extraction records, real-time monitoring, hidden danger investigation, and AIS transportation monitoring; a unified data and algorithm model library is established to realize heterogeneous data fusion, spatio-temporal configuration and comprehensive analysis application.

Iterative Deep Learning Market Digital Twin Engine

The iterative deep learning market digital twin engine introduces advanced mathematical programming models and algorithms. It can intelligently analyze various data in the supply chain, optimize purchase and sales plans in real time, effectively reduce costs, and improve energy circulation efficiency.