基于Petri网的飞行数据智能处理

Intelligent Processing of Flight Data Based on Petri Net

现有的飞行数据处理专家系统多以产生式规则而构建,随之带来的问题是当规则之间存在多层嵌套的复杂逻辑关系时,知识表达不易完备并极易导致推理错误。为此,以识别飞机起飞状态为例,深入研究了基于Petri网的飞行数据智能处理的知识表示和推理方法,并采用Visual C++语言编制了一种实用的飞行数据快速处理专家系统。对多架次实际飞行数据的处理结果表明,基于Petri网的飞行数据智能处理方法能很好地满足飞行数据处理准确性和快速性的要求。该文对研究飞行数据的并行智能处理方法有一定的参考价值。

Flight data processing expert systems in being are made based on producing rule mostly . So the following problem is that knowledge representation is not easy being maturity and conduces to reasoning error easily when there are multi - layer nesting complicated logic relations among rules. In view of this shortcoming, taking identifying take - off of aircraft as an example, a method of knowledge representation and reasoning of flight data intelligent processing based on Petri Net theory is studied throughly, and an applied flight data express processing expert system is developed by using Visual C ＋ ＋. The processing results of many real flight data indicate that the method of knowledge representation and reasoning based on Petri Net theory can meet the need of veracity and speediness of flight data processing. So it has reference value for researching the method of parallel and intelligent flight data processing.