An unmanned aerial vehicle intelligent fault detection system and method for inspection

By integrating and modularizing the UAV intelligent fault detection system, and combining the UAV fault monitoring server and multiple sensors, synchronous detection during UAV operation is achieved, solving the problems of limited detection range and lag in existing technologies, and improving detection efficiency and flexibility.

CN119734850BActive Publication Date: 2025-11-11ZHOUSHAN FANQING TECH CO LTD
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Patent Information

Application Number
CN202510181457.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2025-11-11
Estimated Expiration
2045-02-19

AI Technical Summary

Technical Problem

Existing drone fault detection systems have a limited scope and cannot intuitively observe the actual operating efficiency of mechanical equipment, resulting in a lag and bias in the detection data compared to the actual state.

Method used

Design an integrated and modular intelligent fault detection system for unmanned aerial vehicles (UAVs), including a UAV fault monitoring server, a communication network, a ground fault detection terminal, and a random fault detection terminal. Integrate a three-axis gyroscope, a gimbal stabilizer, a force sensor, etc., and realize data connection and detection through the communication network to simulate actual flight conditions for comprehensive detection.

Benefits of technology

It improves the flexibility, comprehensiveness, and timeliness of drone fault detection, effectively overcomes the risk of drones operating with faults, and improves detection efficiency and flexibility.

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Abstract

The application relates to an unmanned aerial vehicle (UAV) intelligent fault detection system and method for inspection, which comprises an UAV fault monitoring server, a communication network, ground fault detection terminals and random fault detection terminals. Each ground fault detection terminal forms a detection work group with at least one random fault detection terminal. The random fault detection terminals are connected with the ground fault detection terminals in the same detection work group through the communication network. The ground fault detection terminals are connected with the UAV fault monitoring server through the communication network. The detection method comprises three steps of system configuration, dynamic detection and ground detection. The application can effectively meet the needs of fault detection and troubleshooting of UAVs with different structures, and can effectively realize the cooperation of synchronous detection in the UAV operation process and ground static detection, so that the flexibility and convenience of UAV detection operation are greatly improved.
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