Analysis method, device, equipment and storage medium of unmanned aerial vehicle flight performance

Abstract

The embodiment of the invention discloses an analysis method, device, equipment and storage medium for the flight performance of a drone. The method includes: receiving a performance analysis request sent by a client and matching a target landing sortie, the performance analysis request carrying identification information of the target landing sortie; obtaining a matching target landing sortie according to the identification information flight data file; according to the parameter value of at least one flight parameter in the flight data file and the preset performance analysis parameter conditions, generate a performance analysis result matching the target number of takeoffs and landings, and store the performance analysis result sent to the client. The embodiment of the present invention can accurately judge the flight performance of the drone, avoid human misjudgment, improve the efficiency of performance analysis, and can send various performance analysis results to the client, so that the client can present various performance analysis results on the client's The interface is provided for users to view intuitively.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of unmanned aerial vehicles, and in particular to an analysis method, device, equipment and storage medium for the flight performance of unmanned aerial vehicles. Background technique [0002] With the maturity of UAV technology, UAVs are gradually used in fields such as agriculture, forestry, aerial photography, surveying and mapping, and inspection. UAV flight performance is related to the safety and reliability of UAV flight. In order to reduce the probability of failure during the flight of UAVs and improve the efficiency of UAVs in performing tasks, it is particularly important to monitor the performance of UAVs. [0003] At present, manual judgment is usually used to observe and analyze the historical flight data of drones. Specifically, after operating the UAV to complete the flight mission, the user can view the flight data of the flight, analyze the flight data reflecting...

AI Technical Summary

Problems solved by technology

However, a large amount of flight data generated during drone flight is scattered. Even if it is stored in the form of files for users to view, it will bring great difficulties to user analysis. The analysis process is cumbersome, time-consuming, and requires technical training. There is a large learning cost. At the same time, in the manual analysis, there will be discriminative errors caused by inconsistent understanding of the data discriminant standards. The accuracy of the analysis results is low, and the user cannot intuitively know the flight performance of the drone.

Images