Abstract: State channels provide an effective solution for blockchain scalability by migrating transaction execution off-chain. However, existing approaches typically rely on strong assumptions, such as a static set of participants, continuously online nodes, and extremely low failure rates. These assumptions are difficult to satisfy in intelligent terminal environments and significantly hinder practical deployment. To address these challenges, this paper proposes a state channel framework with offline proxy and fault-tolerant recovery for intelligent terminals. The main contributions are summarized as follows: (1) To mitigate channel reconstruction overhead caused by frequent joining and leaving of intelligent terminals, a dynamic membership management mechanism is proposed. Based on joint group signatures and symmetric credential verification, it enables members to complete permission changes without exposing real identities, achieving privacy-preserving and secure admission in dynamic environments. (2) To address transaction interruption caused by intermittent connectivity of intelligent terminals, a trusted execution environment (TEE)-assisted offline proxy mechanism is designed. Participants delegate transaction signing and state updates to a locally deployed TEE array, where offline proxy execution is performed in an isolated environment, ensuring continuity of blockchain operations in asynchronous and dynamic scenarios. (3) To cope with node failures or state loss risks, a fault-tolerant state recovery mechanism based on low-density parity-check (LDPC) codes is proposed. Participant states are encoded into sparse fragments and distributed across the TEE array, and sparse parity-check decoding is exploited to achieve high-probability and efficient fault-tolerant recovery. Experimental results demonstrate that, compared with existing methods, the proposed framework improves transaction success rates by 1.36–1.51×, reduces latency by 20–30%, and maintains system availability above 95% even with 20% state data loss, exhibiting significant performance advantages in dynamic intelligent terminal environments and partial failure scenarios.