RESEARCH AND IMPLEMENTATION OF BLOCKCHAIN MODEL FOR CROSS-BORDER TRADE PAYMENT AND CLEARING

To address the lack of trust and inefficient process coordination among participants caused by data islands in cross-border trade, this paper proposes a blockchain-based payment and clearing model using FISCO BCOS. Leveraging blockchain's capability to ensure trusted data storage, we improved the practical Byzantine fault tolerance (PBFT) mechanism by combining group consensus nodes' business attributes, and proposed a parallel consensus node partitioning method (P-PBFT) to enhance multi-party verification efficiency through node set feedback. Experimental results demonstrate that the model achieves better usability and higher transaction processing speed in ensuring trusted data storage for specific business scenarios, providing references for blockchain applications in other domains.