AI-based Safety Monitoring of Substation for Aramco 2025
- Challenge
- Manual substation monitoring is labor-intensive and prone to human error, as it relies on periodic inspections rather than continuous observation.
- This often results in delayed detection of equipment faults, overheating, or abnormal load conditions, which can escalate into costly outages.
- Safety risks are high for personnel due to exposure to high-voltage environments.
- AIGC Solution
- AI-Powered Safety Monitoring integrated with VMS to alert for standards non-compliance, such as PPE detection, Zonal control functionality, and fire/Smoke
- SCADA Integration to automate the creation of virtual zones near the SWG
- Conditional Monitoring: Alerts only when the switchgear is energized, and people are going near to SWG without ARC Flash PPE, reducing false alarms
- Custom AI use cases such as human-SWG proximity detection, door status, LOTO locks presence/color, rack-in/rack-out body posture, wildlife, leaks, food, and jewelry
- Realized Value
- Ensure workplace safety in substations and their compliance with regulatory and operational standards by detecting unauthorized items such as food, water, and jewelry.
- Reduce operational hazards by monitoring human posture, proximity, spillages, and emergency exits in real time.
- Enhance safety monitoring and prevent accidents within substations, especially in switchgear rooms
- Ensure proactive detection of potential hazards, such as unauthorized access or unsafe risky behaviors.