Design And Implementation Of UAV Takeoff Line Detection And Fault Analysis System

UAV can be excellent to complete a number of tasks in the absence the pilot in the case of the personal scene,compared to the man machine,it has low manufacturing costs,easy to achieve,flying and many other advantages and has been widely used in many areas such as military,defense,agriculture,climate prediction and other civilian areas.In order to ensure that the aircraft can perform a variety of tasks at low risk and high efficiency,the aircraft needs to receive a large number of tests and faults in the takeoff line and quickly make an assessment of whether or not to perform the mission,but because of its complex system composition and the diversity of flight function has brought great challenges to the detection and fault diagnosis of UAV.At the same time,the research of domestic equipment in the field of UAV detection and fault diagnosis is later than foreigner,so the equipment which has been developed is a lack of unity standards and versatility.In this paper,based on the actual project,the data of unmanned aerial vehicle detection as the research object,combined with system function and performance requirements,a set of military UAV models,multi-functional and high real-time man-machine detection and fault analysis system has been developed.Through the study of system versatility design,we can make full use of XML configuration methods,plug-in development technology,software architecture level optimization and other ways to complete such as protocol description and editing plug-in,instruction encoding and send plug-in and fault analysis plug-ins,and the design scheme of the hybrid software architecture based on the C/S architecture and the local three-tier architecture is proposed.In order to guarantee the real-time requirement of the system,this paper proposes a real-time technology based on caching technology and multi-threading technology to complete the process of data receiving,processing,analyzing,storing and displaying.In the aspect of fault analysis,an effective knowledge base construction strategy is used to complete the construction of the initial knowledge base,and the analysis method of the knowledge base are used to analyze the fault analysis scheme based on Apriori data mining algorithm,and the design of the background analysis system of fault analysis is completed.In order to test the function of the detection of UAV and the effectiveness of fault analysis strategy,the unmanned aerial vehicle inspection and fault analysis system test and verification scheme is designed.The experimental results show that the system has good general purpose in terms of system function and performance and has a high practical value of engineering.