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App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 3

Food traceability query scheme based on dual-chain structure and hmb+ tree index

Liu Jiayan1
Deng Xiaohong2,3
Zhu Yunzhen1
Liu Qiuping4
1. School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China
2. School of Information Engineering, Gannan University of Science and Technology, Ganzhou Jiangxi 341000, China
3. Key Laboratory of Digital Cultural Preservation and Intelligent Innovation, Ganzhou Jiangxi 341000, China
4. School of science, Jiangxi University of Science and Technology, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2025.08.0259

Abstract

Aiming at the problems of high data storage pressure and low query efficiency in the blockchain-based food supply chain traceability system, this paper proposed a traceability query scheme that integrates a dual-chain storage structure with an HMB+ tree indexing mechanism. First, this solution builds a dual-chain architecture that combines a consortium chain and private chains, separating product lifecycle data and reducing the storage burden on the main chain. At the same time, by introducing a notary group with the regulatory agency as the core, use batch signature and asynchronous verification mechanisms to improve the processing concurrency and collaborative efficiency of cross-chain transactions. Secondly, this solution proposes a hybrid indexing structure, HMB+ tree, which integrates hash tables with Merkle B+ trees. It embeds maximum and minimum keys in block headers to narrow the query range, employs hash tables for fast multi-field index mapping, and leverages Merkle B+ trees to support efficient range and multi-condition queries, thereby improving data localization. Finally, in the private chain, a hot-cold skip list reconstruction mechanism based on exponential smoothing dynamically partitions hot and cold blocks and adaptively adjusts index levels. This mechanism optimizes high-frequency query paths and enhances overall retrieval efficiency. Experimental results show that this solution improves query efficiency by 49.5% compared with existing methods and effectively alleviates on-chain storage pressure, providing strong technical support for the in-depth application of blockchain in the field of food safety and traceability query.

Foundation Support

国家自然科学基金资助项目(61762046,62166019)
江西省自然科学基金资助项目(20224BAB202019)
江西省教育厅科技项目(GJJ218505)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.08.0259
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 3

Publish History

[2025-11-17] Accepted Paper

Cite This Article

刘嘉艳, 邓小鸿, 朱蕴真, 等. 基于双链结构与HMB+树索引的食品溯源查询方案 [J]. 计算机应用研究, 2026, 43 (3). (2025-11-18). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0259. (Liu Jiayan, Deng Xiaohong, Zhu Yunzhen, et al. Food traceability query scheme based on dual-chain structure and hmb+ tree index [J]. Application Research of Computers, 2026, 43 (3). (2025-11-18). https://doi.org/10.19734/j.issn.1001-3695.2025.08.0259. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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