Hybrid architecture for distributed operations
Edge and center deployment supports near real-time video analysis, continuous monitoring, and remote supervisory visibility.
Sinopec Case Study
Edge-center AI for distributed oil and gas safety operations
Sinopec operates drilling platforms, transport lines, and LNG terminals across wide regions. Awakedata delivered a hybrid edge + center AI architecture for 24/7 safety analysis, visual monitoring, and model optimization, helping teams improve both incident response and inspection accuracy.
Solution highlights
A practical architecture built for complex, multi-site oil and gas field environments.
AI meter reading workflow
VisionFlow-based model training and VisionCore deployment automate instrument reading, improving inspection consistency and data timeliness.
Safety event snapshot alerting
- Helmet and PPE compliance detection
- Personnel entry and presence monitoring
- Personnel distance and proximity detection
- Smoke and fire hazard detection
Expanded AI scenarios
- Daily routine inspection automation
- Confined-space operation monitoring
- Gas detector usage compliance checks
- Protective clothing and workwear detection
- Hazardous item identification
Measured outcomes
Operational efficiency gains from expanded AI deployment across inspection and patrol workflows.
-30% to -50%
Reduction in manual patrol input requirements.
-40%
Daily inspection time reduced for a single operating zone.
+15% to +25%
Overall operation efficiency improvement.
+30%+
Patrol robot operation efficiency increase.
+50%
Hidden-risk closed-loop handling efficiency increase.