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.

CN122411083APending Publication Date: 2026-07-17中国石油大学(北京)克拉玛依校区 +1
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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

Technical Problem

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.

Method used

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.

Benefits of technology

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

本发明公开了一种无人机自动化巡检补能过程的协同监控系统,涉及无人机自动化补能控制技术领域,包括状态空间多维感知映射模块、语义偏差分析裁决模块、协同监视控制模块、影子状态机冗余监控模块以及环境自适应灵敏度调节模块。系统通过构建执行模块高维状态矢量,实时分析实际运行状态与理想模型之间的偏差,并在偏差超限时实施控制总线拓扑重构、执行时序协同调节及滑模补偿控制;同时结合影子状态机进行语义一致性校验,并依据环境噪声动态调整监控灵敏度。通过多模块协同监控与闭环补偿控制,实现无人机补能过程的异常感知、偏差抑制及安全防护,解决现有自动化补能过程中执行机构协同不足、环境干扰适应性差以及运行可靠性低的问题。
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Citation Information

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