多源异质数据资产分链交易体系设计

doi:10.3969/j.issn.0255-8297.2026.03.009

摘要/Abstract

摘要： 针对数据资产交易中存在企业与个人交易环境割裂、隐私泄露风险高及系统吞吐量不足等挑战，提出了一种面向多源异质数据资产的联盟链+侧链分链交易体系。分析了多源异质数据的交易特征，设计了基于用户类型感知的自动分链路由机制，其中联盟链保障企业数据的强一致性审计，侧链实现个人数据的高并发处理。同时引入可信计算技术，构建了可用不可见、可用不可拷的硬件级隐私保护方案。实验结果表明，该分链架构将系统峰值吞吐量提升至2 400 TPS，相比传统单链提升约118%；同时将高并发下的交易延迟控制在2 s以内，且引入的安全开销仅为毫秒级。该体系在实现异质数据融合交易的同时，有效平衡了安全性与交易效率；在保护数据隐私性的同时将企业与个人数据资产交易融合纳入到一个规范化的交易系统中，为数字经济时代的数据要素流通提供了工程化解决方案。

关键词: 多源异质数据资产, 区块链, 个人数据资产, 企业数据资产, 数据交易

Abstract: This paper proposed a split-chain trading system combining a consortium chain and a sidechain for multi-source heterogeneous data assets to address challenges in data asset trading. These challenges include fragmented enterprise and individual trading environments, high risks of privacy leakage, and insufficient system throughput. The transaction characteristics of multi-source heterogeneous data assets were analyzed, and a user-type-aware automatic split-chain routing mechanism was designed. The consortium chain ensures strong-consistency auditing for enterprise data, while the sidechain enables high-concurrency processing of personal data. Trusted computing technology was also introduced to construct a hardware-level privacy protection solution, allowing data to be used without being exposed or copied. The experimental results show that the split-chain architecture increases the peak system throughput to 2 400 TPS, representing an improvement of approximately 118% compared with traditional single-chain systems. Meanwhile, it maintains transaction latency below 2 s under high-concurrency conditions, with the added security overhead remaining at the millisecond level. This system effectively balances security and transaction efficiency while enabling integrated trading of heterogeneous data.It also integrates the trading of enterprise and personal data assets into a standardized transaction system while protecting data privacy, thus providing an engineering solution for data circulation in the digital economy.

Key words: multi-source heterogeneous data asset, blockchain, personal data asset, enterprise data asset, data trading

中图分类号:

TP316.4

李守伟, 蒋易珉, 张嘉政. 多源异质数据资产分链交易体系设计[J]. 应用科学学报, 2026, 44(3): 465-485.

LI Shouwei, JIANG Yimin, ZHANG Jiazheng. Split-Chain Trading System Design for Multi-source Heterogeneous Data Assets[J]. Journal of Applied Sciences, 2026, 44(3): 465-485.

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