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基于区块链的机采棉质量溯源模型研究

刘康 张梦芸 常金强 徐健康 宋宇涵 胡蓉

农业机械学报2025,Vol.56Issue(5):141-149,9.
农业机械学报2025,Vol.56Issue(5):141-149,9.DOI:10.6041/j.issn.1000-1298.2025.05.014

基于区块链的机采棉质量溯源模型研究

Traceability Model of Machine-picked Cotton Quality Based on Blockchain

刘康 1张梦芸 1常金强 1徐健康 2宋宇涵 2胡蓉1

作者信息

  • 1. 石河子大学机械电气工程学院,石河子 832003||农业农村部西北农业装备重点实验室,石河子 832003
  • 2. 石河子大学机械电气工程学院,石河子 832003||兵团智慧农场数字化装备技术创新中心,石河子 832003
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摘要

Abstract

With the widespread adoption of mechanical cotton harvesting in Xinjiang,challenges such as data silos,delayed information sharing,and inadequate whole-process monitoring have hindered precise and transparent quality traceability from seed cotton to lint cotton.To address this,a blockchain-based quality traceability model for machine-harvested cotton was proposed by leveraging the decentralized and tamper-resistant features of blockchain technology and the real-time data acquisition capabilities of IoT devices.A logistic regression-based off-chain/on-chain collaborative data query optimization was introduced to achieve intelligent pre-caching of high-frequency data.Additionally,an access control model integrating reinforcement learning and elliptic curve cryptography was designed to enhance data security and privacy protection.The quality traceability system was developed on the ChainMaker open-source blockchain platform.Performance tests demonstrated that the system reduced query latency from 72.37 ms to 60.14 ms in regular scenarios and further decreased it to 32.75 ms in high-frequency scenarios,with optimization efficiency improving as data volume increased,meeting real-time user query demands.In addition,through plaintext sensitivity and key sensitivity tests,confirming average ciphertext change rates of 87.78%and 82.68%,respectively.These results ensured the privacy and security of data during cross-institutional collaboration.The model established a closed-loop architecture of"IoT data collection-blockchain notarization-smart contract verification-multi-level access control"fulfilling enterprises' requirements for privacy data permission management and secure sharing while enhancing information retrieval efficiency.

关键词

机采棉/质量溯源模型/区块链/物联网/机器学习/长安链

Key words

machine-picked cotton/quality traceability model/blockchain/internet of things/machine learning/ChainMaker

分类

信息技术与安全科学

引用本文复制引用

刘康,张梦芸,常金强,徐健康,宋宇涵,胡蓉..基于区块链的机采棉质量溯源模型研究[J].农业机械学报,2025,56(5):141-149,9.

基金项目

国家重点研发计划项目(2022YFD2002400)和兵团科技攻关计划项目(2023AB014、2022DB003) (2022YFD2002400)

农业机械学报

OA北大核心

1000-1298

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