基于动态匹配库坝水下缺陷修复人机任务分解与调度方法
By using a dynamic matching method for the decomposition and scheduling of human and machine tasks in underwater dam repair, the problem of complexity and uncertainty in the underwater repair environment of reservoirs and dams in existing technologies has been solved. This method enables dynamic quantification and optimized scheduling of the capabilities of the operating entities, thereby improving the quality and safety of the repair work.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING HYDRAULIC RES INST
- Filing Date
- 2026-06-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing underwater repair solutions for reservoirs and dams rely on independent operations by human divers or remotely operated underwater robots, and the scheduling methods are mostly experience-based fixed allocations. These methods cannot cope with the complexity and uncertainty of the underwater repair environment, resulting in insufficient capacity coverage and affecting the quality and safety of repairs.
By acquiring data on defects to be repaired and real-time status data of the main task, a task dependency graph and a time-varying capacity supply vector are constructed. Task decomposition and scheduling are dynamically matched, an initial scheduling scheme is generated, and local rescheduling is triggered based on real-time feedback information to optimize the operation process.
Quantifying the capabilities of the main operators ensures the safety and quality of underwater operations and improves the robustness of reservoir and dam repair operations in dynamic environments.
Smart Images
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