一种无人机自动化巡检补能过程的协同监控系统
By constructing a collaborative monitoring system based on high-dimensional state vectors and reconstructing the control bus topology, the nonlinear response delay and position deviation of heterogeneous components during UAV inspection and recharging processes were solved. This system achieved spatiotemporal synchronization and logical self-healing in complex environments, improving the system's stability and anti-interference capabilities.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- 中国石油大学(北京)克拉玛依校区
- Filing Date
- 2026-06-16
- Publication Date
- 2026-07-17
AI Technical Summary
In complex environments, during the automated inspection and recharging process of UAVs, existing control systems cannot effectively identify the nonlinear response delay and position deviation of heterogeneous components, leading to mechanical impacts and battery interface failures, frequent sensor malfunctions, and traditional software solutions cannot eliminate the inaccuracy caused by the discrete characteristics of control data.
A high-dimensional state vector is constructed using a state-space multidimensional perception mapping module. Euclidean distance is calculated through a semantic deviation analysis adjudication module. A collaborative monitoring and control module reconstructs the control bus topology and adjusts the timing. A sliding mode control operator and a shadow state machine redundancy monitoring module are combined to realize the logical yielding and safe reset of heterogeneous execution modules. An environmental adaptive sensitivity adjustment module dynamically adjusts the sensitivity of the monitoring operator.
It achieves spatiotemporal synchronization and logic self-healing of heterogeneous actuators in harsh environments, avoids rigid collisions and battery interface failures, and improves the anti-interference performance and stability of the control system.
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Abstract
Citation Information
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