非形式化仿真模型验证方法易受主观因素的影响且具有不完备性,而传统的形式化模型检验方法由于受到状态空间爆炸问题的影响,很难处理大规模的仿真模型.并行模型检验方法以其完备性、高效性已经在工业界中得到了成功的应用,但是由于涉及到形式化规约、逻辑学以及并行计算等多项技术,应用难度较大.针对上述问题,提出了基于事件图的离散事件仿真模型并行检验方法.该方法首先对事件图在模型同步方面进行了扩展,给出了扩展事件图的形式化定义、语法及语义;然后将扩展事件图模型转换到分布并行验证环境的DVE模型,成功地将并行模型检验方法应用于仿真模型验证领域.该方法使得仿真人员无须学习新的形式化验证语言就能采用并行模型检验方法对仿真模型进行形式化验证,可降低模型并行验证的难度,从而有效提高模型验证的效率和完备性.实验结果表明了该方法的有效性,有利于扩展并行模型检验方法在仿真领域中的应用.%Informal verification methods for simulation models are vulnerable to subjective ingredients. The traditional model checking method has difficulty dealing with large-scale simulation models because of the state space explosion. The parallel model checking (PMC) method has been accepted and successfully implemented in industrial tools because of the completeness and high efficiency. Unfortunately, it is hard to use as it involves several difficulties, such as formal specifications, logics, and parallel computing. To solve the above problems, a parallel model checking method for simulation models based on event graphs is proposed in this paper. This method extends event graphs in synchronization and defines the syntax and semantics of the extended event graphs. It transforms the extended event graphs to distributed and parallel verification environment (DVE) model, and PMC method is successfully applied to simulation model verification filed. With this method, simulation participators can verify simulation models with PMC method without learning new formal modeling languages. The efficiency and completeness of simulation model verification are improved. The experimental results show the validity of this method, and the method can improve the application of PMC method in simulation field.
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