Oil & Gas Hub

From 2-hour manual rounds to second-level warning

The joint station is a core oil and natural gas processing hub within the oilfield, undertaking critical production tasks. For a long time, inspection operations relied heavily on manual labor: 20 inspectors worked in shifts on a 2-hour rotation, manually filling out inspection forms.
This process was inefficient, and the recorded information was limited — merely indicating whether a hazard was “present” or “absent.” Personnel were chronically exposed to high-pressure, flammable, explosive, and toxic environments, posing extremely high safety risks.

Solution

By deploying an intelligent inspection system, integrated with AI-powered multi-modal perception and big data analytics, a “Air-Ground Integrated” intelligent inspection framework has been established:

  • Intelligent Patrol

    Autonomous route planning by mission creation agent

    No manual tuning or on-site surveys required

  • Precision Detection

    Aerial multispectral sensors detect overhead hazards (e.g., insulation detachment, tank corrosion).

    Ground robots spot indoor leaks, drips, and other subtle issues.

  • Efficient Handling

    Anomalies trigger automatic alerts and notifications, enabling rapid closed‑loop response and handling.

  • Automated Archiving

    Inspection reports are generated automatically upon mission completion, with fully traceable data.

Key Results

  • Algorithm upgrade

    Station inspection component recognition expanded to 6 types, enabling more thorough hazard identification.

  • Faster response

    The incident detection cycle shortened from 2 hours to seconds, significantly enhancing risk response capabilities.

  • Manpower efficiency

    Outdoor inspection personnel reduced from 20 to 8, greatly lowering safety risks for field staff.

  • Remote coverage

    Achieves seamless coverage across aerial and ground, indoor and outdoor — establishing a comprehensive, multi‑dimensional intelligent inspection system.

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