Modular distributed deployment and resource scheduling method of tower machine nest
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SUIZHOU POWER SUPPLY COMPANY STATE GRID HUBEI ELECTRIC POWER
- Filing Date
- 2026-04-17
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional drone nesting deployment methods lack systematic data integration and quantitative analysis, resulting in unreasonable deployment, waste of resources, and scheduling modes that are difficult to adapt to different environments and business needs, affecting inspection efficiency and costs.
By integrating multi-source power data, a lifecycle dataset of the power grid is constructed. A heat map and a safety constraint rule base are generated using a tower deployment value assessment algorithm. Combined with optimization algorithms, a modular distributed deployment scheme is generated, and adaptive scheduling and fault-tolerant management are executed to form a closed-loop iterative optimization system.
It has achieved scientific and adaptable deployment of power grid cells, improved inspection coverage and resource utilization efficiency, reduced operating costs, and enhanced the intelligence and automation level of power inspection.
Smart Images
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