Home-Industry Applications
  • Autonomous Navigation

    The system delivers stable autonomous navigation in complex substation environments. Powered by the self‑developed VLN navigation large model, it achieves dual‑scenario high‑precision navigation: centimeter‑level positioning and obstacle avoidance for complex indoor power scenarios, and autonomous path planning for all‑domain outdoor power environments.Through 3D mapping, multi‑sensor fusion positioning and topological path planning, integrated continuous indoor‑outdoor navigation is realized, sustaining stable long‑term operation in confined spaces and weak‑network conditions. Substation spatial modeling is adopted to represent operating environments, and inspection targets are organized in combination with equipment management and asset information.

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    Automatic Recognition

    Drawing on multimodal visual recognition and industry‑specific model capabilities, the system automatically identifies various meters, indicator lights and switch statuses, extracts equipment operating data and generates structured information. Pre‑installed general‑purpose substation recognition algorithms are integrated with autonomous inspection, video surveillance, status checking and intelligent alarming. It supports mobile video inspection, infrared temperature measurement, environmental data monitoring, real‑time monitoring of key zones, intelligent data analysis and report generation.

  • Precise Manipulation

    Sensor payloads and robotic arms mounted on quadruped robots integrate equipment inspection, action execution and operation supervision. Combining the mobility of humanoid robots with end‑effectors, upper limbs and professional end‑of‑arm tools are adapted to the working space of existing equipment such as switch cabinets. Via visual perception, task comprehension and force‑control strategies, precise alignment and controlled execution are completed for operations including button pressing, knob turning and five‑prevention procedures. Human access to high‑risk or high‑elevation work points is reduced, enabling unified management of both inspection and manipulation tasks.

  • Closed‑loop Management and Unified One‑network Governance

    A complete closed‑loop mechanism spanning status acquisition, task decomposition and execution verification is established, supporting exception rollback and result validation. The whole inspection‑manipulation workflow becomes controllable, traceable and manageable. Connected to enterprise digital management platforms, the intelligent inspection platform centrally aggregates inspection data, alarm messages and disposal outcomes to support centralized supervision and management decision‑making.

Solution Benefits

  • Safety Benefits

    Replace high‑risk and repetitive manual work, mitigate electric‑shock‑induced irreversible hazards, and minimize direct human exposure to high‑risk or high‑elevation work points.

  • Efficiency Benefits

    Enable all‑weather, all‑round and fully autonomous inspection and patrolling. On‑site human attendance is no longer required for standardized repetitive operations, improving power operation and maintenance efficiency.

  • Management Benefits

    Visualize execution status and ensure traceable outcomes. Centrally aggregate inspection data, alarm information and disposal results to facilitate centralized supervision and management decision‑making.

  • Intelligence Benefits

    Supported by industry‑specific AI and embodied‑intelligence operation capabilities, achieve continuous coordination of autonomous navigation, equipment identification, task parsing, standardized on‑site manipulation and result review, and enhance the grid’s autonomous operation and maintenance capacity.

BWTON has jointly developed solutions with Sichuan embodied humanoid robot teams. Utilizing the Unitree H2 humanoid robot, integrated with dedicated overall‑machine adaptation, uRobot OS, industry‑specific AI and the embodied‑intelligence operation platform, the system realizes end‑to‑end traceable continuous collaboration of autonomous navigation, equipment identification, task parsing, standardized on‑site manipulation and result review for live‑line‑operation robots. It creates a benchmark sample featuring both “industry pioneering value” and “practical leading significance” for the intelligent upgrading of power operation and maintenance.