Automatic detecting and fault diagnosing method of unmanned aerial vehicle based on cloud computing

Abstract

The invention relates to an automatic detecting and fault diagnosing method of an unmanned aerial vehicle based on cloud computing. A cloud computing platform is adopted; and in combination of a virtual instrument labview, a detecting system is endowed with a characteristic of networking, and a networked virtual instrument detecting system is established conveniently so as to realize the real-time data acquisition. Data acquired in real time are uploaded to a data server at a cloud and faults are detected through a fault detection cloud, if the faults are detected, the fault detection cloud is called to realize a remote diagnosis function, and the faults are fed back to a user through a Web interaction interface to be eliminated ultimately. The user can access the network through a terminal to access the system at any time to carry out unmanned aerial vehicle fault elimination. With a strong calculation capability of the cloud computing, the operation efficiency of the conventional detecting equipment is improved; by integrating abundant equipment resource and network resource, the utilization rate of the resource is increased to the maximum extent; and meanwhile, as the cloud computing provides a most reliable and the safest data storage center, the user needs not to worry that the data may lost any longer, and the security of the data is increased; the cloud computing further realize remote file processing and data and application sharing of different equipment; and the cooperation efficiency of teams is increased.

Description

technical field [0001] The invention relates to a method for automatic detection and fault diagnosis of an unmanned aerial vehicle, in particular to a method for automatic detection and fault diagnosis of an unmanned aerial vehicle based on cloud computing. Background technique [0002] With the improvement of computer capabilities and the advancement of miniaturization, artificial intelligence and ultra-precision technology, there are more and more electronic devices on board UAVs, and the systems are becoming more and more complex, which puts forward the reliability and maintainability of UAVs. higher and higher requirements. The UAV automatic detection and fault diagnosis system was born. For distributed UAV systems that require fast, flexible, and dense deployment, automatic detection and fault diagnosis systems are particularly important. The traditional UAV detection system is mainly based on data collection, and the fault diagnosis mainly relies on expert experience...

AI Technical Summary

Problems solved by technology

The traditional UAV detection system is mainly based on data collection, and the fault diagnosis mainly relies on expert experience to judge, which puts forward higher requirements for users

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