Decentralized　application　(DAPP),　replacing　traditional　business　logic　and　data　access　layer　with　block　chain,　is　a　new　form　of　Internet　service.　Testing　DAPP　requires　large-scale　distributed　systems.　Performing　experiments　in　a　real　system　is　costly　and　difficult.　This　article　carefully　analyses　the　process　of　block　generation　and　synchronization　and　explains　the　reasons　for　the　low　efficiency　of　block　chain　system　simulation.　We　incorporate　fuzzy　rule　based　model　for　enhancing　the　logging　system　in　blockchain.　Rules　based　on　fuzzy　are　utilized　inside　system　of　fuzzy　logic　to　obtain　outcome　on　basis　of　input　variables.　The　data　of　Ethereum　and　Bitcoin　proves　that　the　block　generation　interval　conforms　to　the　exponential　distribution,　and　the　real　PoW　calculation　can　be　replaced　with　random　numbers.　Both　block　verification　and　network　propagation　processes　have　latency,　which　can　be　simulated　with　asynchronous　messaging.　Based　on　the　above　analysis,　this　article　proposes　a　high-performance　simulation　method　based　on　event-driven　model,　which　is　suitable　for　describing　the　communication　and　synchronization　behave　our　of　block　chain　networks.　The　method　can　effectively　describe　the　block　generation,　the　synchronization　process　between　nodes,　and　supports　different　equity　proof　forms.　Using　this　method,　the　performance　of　the　PoW　systemis　tested.　Under　the　ecs.c6.xlargeinstance,the　simulation　running　speed　reaches　782　times　of　actual　system.　Further　experiments　show　that　this　method　can　be　efficiently　used　in　larger-scale　networks　and　is　an　effective　tool　for　DAPP　developing　and　testing.