The　security　and　reliability　risks　of　industrial　data　have　constrained　the　advancement　of　the　Industrial　Internet　of　Things　(IIoT).　Although　blockchain　can　protect　the　security　and　reliability　of　industrial　data　through　hash　verification　mechanisms,　there　are　numerous　challenges　in　the　existing　blockchain　enabled　IIoT　systems,　such　as　the　trilemma　of　scalability,　decentralization　and　security,　high　computational　power　consumption　of　consensus　protocols　and　limited　computational　resources　of　industrial　devices.　To　address　these　problems,　an　intelligent　sharding　blockchain　enabled　IIoT　framework　is　proposed,　in　which　the　intelligent　sharding　based　on　the　reputation　mechanism　and　the　adaptive　switching　for　multi-consensus　protocols　are　utilized　to　enhance　the　decentralization,　security　and　scalability　of　blockchain.　Considering　higher　requirement　of　computational　power　of　the　sharding　blockchain,　a　cloud-edge-end　collaborative　computing　framework　is　introduced,　in　which　the　parallel　computational　offloading　and　the　Terahertz　communication　technology　are　utilized　to　enhance　the　cooperation　of　the　cloud-edge-end　networks.　Furthermore,　due　to　the　highly　dynamic　nature　of　industrial　devices　and　industrial　data,　we　consider　and　design　the　optimization　problem　as　a　Markov　decision　process　(MDP),　which　is　solved　via　the　Proximal　Policy　Optimization　(PPO)　algorithm.　Simulation　results　show　that　our　proposed　scheme　can　minimize　total　delay　and　maximize　transaction　throughput　while　guaranteeing　the　safety　as　well　as　decentralization　of　blockchain　enabled　IIoT　systems.　©　2002-2012　IEEE.