In　recent　years,　with　the　development　and　widespread　use　of　blockchain,　many　projects　have　introduced　blockchain　technology　to　solve　the　increasingly　serious　security　problems　of　the　Industrial　Internet　of　Things　(IIoT).　However,　due　to　the　conflict　between　the　operational　performance　and　security　of　the　blockchain　system,　the　conflict　between　transparency　and　privacy,　and　the　compatibility　issues　with　a　large　number　of　IIoT　devices　running　together,　the　mainstream　blockchain　system　cannot　be　applied　to　IIoT　scenarios.　In　order　to　solve　these　problems,　in　this　article,　we　propose　an　IIoT　distributed　data　system　based　on　blockchain　technology.　We　provide　a　novel　system　architecture　for　different　IIoT　devices　to　deploy　high-performance　blockchain　systems　in　many　scenarios,　such　as　smart　factory　networks.　To　improve　the　performance　of　the　blockchain　network,　we　adopt　the　sharding　hashgraph　consensus　mechanism　and　introduce　a　node　evaluation　mechanism　based　on　the　state　of　the　node,　which　is　applied　to　divide　a　large　number　of　nodes　into　many　shards　dynamically.　We　abstract　the　node　sharding　problem　as　a　joint　optimization　problem　and　use　deep　reinforcement　learning　to　solve　it.　Finally,　we　compared　with　asynchronous　Byzantine　consensus　algorithms,　such　as　HoneybadgerBFT　and　BEAT,　which　validated　the　performance　of　this　system　architecture.