Aviation command guaranty optimization method based on discrete event system

Abstract

An aviation command guaranty optimization method based on a discrete event system comprises the following steps: firstly, obtaining an aviation command guaranty simulation task and dividing an aviation command guaranty process into a shipboard sub-process, a takeoff sub-process and a landing sub-process; obtaining all discrete events of each sub-process and establishing a discrete event model of the aviation command guaranty process; finishing the aviation command guaranty simulation task to obtain the discrete event system corresponding to the aviation command guaranty simulation task; establishing a discrete event system corresponding to a simulated aviation command guaranty simulation task in process simulation software; finally, obtaining an operation time threshold value range of each discrete event and comparing to obtain an abnormal discrete event which is used as a discrete event needing to be adjusted, and outputting the abnormal discrete event. By adopting the aviation command guaranty optimization method, analysis of the aviation command guaranty process and simulation of a landing success probability are realized, and the abnormal discrete event of an aviation command guaranty system can be found and are pointedly optimized, so that the aviation command guaranty optimization method has better applicable value.

Description

technical field [0001] The invention relates to an aviation command support technology, in particular to an aviation command support optimization method based on a discrete event system. Background technique [0002] The traditional discrete event dynamic system (DEDS: DiscreteEventDynamicSystem) refers to the dynamic system driven by events, the system state jumps, and the system state transition occurs at a series of discrete time points. Most of DEDS are man-made systems with complex variation relations, which are difficult to be described by conventional equation models such as differential equations and difference equations. [0003] Since the beginning of the 1980s, Professor Y.C.Ho, a famous scholar at Harvard University in the United States, advocated the study of DEDS theory, and various forms of DEDS model design methods have emerged. For example, according to whether the analysis of the evolution process of the object under investigation is necessary to be includ...

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Problems solved by technology

[0008] There are many simulation objects in the aviation command and support system, and the uncertain factors in the aviation command and support system will increase with the expansion of the system. These factors cannot be described only by mathematical variables, but they play an important role in the state of the aviation command and support system. It cannot be scientifically simplified, such as equipment failure repair time, equipment utilization rate, etc.

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