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Intelligent Inspection

Power transmission lines are often deployed in complex terrains, rendering manual inspection risky and difficult to complete quickly.

Supported by Artificial Intelligence (AI), the Huawei Intelligent Transmission Line Inspection Solution conducts intelligent video-based inspection using cloud-edge-device, three-layer architecture. With video AI algorithms on the edge and devices, the solution intelligently detects potential risks, including foreign objects on power lines, tilting poles or towers, and external damage. In addition, an on-device intelligent algorithm repository supports algorithms from multiple vendors.

The cloud facilitates algorithm model training and management, as well as remote algorithm pushes. Cloud-edge synergy enables algorithm updates from the cloud to the edge: the system does not only see potential power line risks, it understands them as well, ultimately improving emergency response and maintenance efficiency by 30% and reducing the inspection workload by 80%.

 

Core Values and Advantages

  • Smart Delivery
    Auto-Identification

    Covering all five categories and 35 subcategories of transmission line algorithms, Offer 91.24% accuracy and cut manual analysis costs by 80%.

  • Network Operation Mode
    Self-Networking

    OPGW + VideoX self-networking solution with no coverage holes, controllable information security, and zero bandwidth rental fees.

  • Flexible Installation
    Easy to Install

    The integrated solution — including Photovoltaics (PV) storage — is 40% lighter with 37.5% less devices than the industry average. Automatic antenna alignment reduces the tower workload by 30% and single-site Total Cost of Ownership (TCO) by 33%.

  • Easy to Maintain

    Huawei iClient and eSight remotely and centrally manage, visualize, and control all modules, with cloud-edge synergy, sustainable algorithm growth, and remote one-click upgrade in seconds. With 40% less power consumption preserving battery life, accurate device fault location cuts the workload by 90%.

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