KEYWORDS: Data modeling, Data storage, Analytical research, Human-machine interfaces, Visualization, Design and modelling, Data conversion, Computing systems, Distributed computing, Data processing
Flight test comment is one of the important links in flight test engineering, which plays an important role in summarizing the flight situation, analyzing and locating the fault problems, and arranging follow-up tasks. Aiming at the problems existing in the traditional flight test comment system, such as single evaluation process and method, insufficient data support, insufficient visualization and interactivity, and unsatisfactory effect and efficiency, this paper constructs a digital intelligent flight test comment system based on data mining and software technology. It mainly realizes the functions of basic task information display, key data and scene reconstruction, fault analysis and location, and automatic generation of task evaluation result report, so as to realize the digitalization and intellectualization of the future flight test evaluation business.
With the great success of airworthiness in ensuring the safe operation of civil aviation products, military aircraft products have begun to gradually introduce the concept and method of airworthiness. Under the premise of focusing on the function and performance of military aircraft, the safety of products is pursued to the maximum extent. However, in the actual process, due to the huge difference between military products and civil products, in the process of promoting airworthiness, military aircraft products often have an unbalanced contradiction between airworthiness verification and performance verification. Based on this, this paper proposes a dual fusion scheme and process based on airworthiness and performance verification, designs the complex diversification mapping method of airworthiness verification and performance verification test subjects in detail, and describes the verification method of airworthiness clauses in performance verification process. The scheme and method have been applied in actual model tasks and achieved good results.
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