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.