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基于區(qū)塊鏈和邊緣計算的水稻原產(chǎn)地溯源方法研究
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國家自然科學(xué)基金面上項目(31871525)和廣東省重點研發(fā)計劃項目(202103000033)


Traceability Method of Rice Origin Based on Blockchain and Edge Computing
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    摘要:

    地理位置與環(huán)境因素的不同導(dǎo)致水稻品質(zhì)存在差異,優(yōu)質(zhì)原產(chǎn)地的稻米質(zhì)優(yōu)味美,對消費者更有吸引力,因此研究水稻原產(chǎn)地溯源,建立水稻原產(chǎn)地可信溯源系統(tǒng)具有重要意義。傳統(tǒng)物聯(lián)網(wǎng)區(qū)塊鏈溯源系統(tǒng)將溯源數(shù)據(jù)上傳至中心化的服務(wù)器,再由服務(wù)器上傳至區(qū)塊鏈;這無法很好地利用邊緣節(jié)點中的資源,還使其易受數(shù)據(jù)偽造或數(shù)據(jù)丟失等安全風險的影響。設(shè)計了一套基于區(qū)塊鏈和邊緣計算的水稻原產(chǎn)地溯源模型,依托嵌入式設(shè)備的邊緣計算能力,對傳感器數(shù)據(jù)實時數(shù)據(jù)融合并在嵌入式設(shè)備上部署區(qū)塊鏈。此外,設(shè)計邊緣計算場景下區(qū)塊鏈網(wǎng)絡(luò)的存儲擴展方法和邊緣計算工作流程。最后,經(jīng)過測試分析,查詢公開溯源數(shù)據(jù)的平均時間為45.84ms,查詢隱私溯源數(shù)據(jù)的平均時間為50.92ms,邊緣節(jié)點加密上鏈的平均時間為1.27s,邊緣多鏈存儲容量消耗為傳統(tǒng)單鏈的18%,能夠滿足水稻原產(chǎn)地溯源實際的應(yīng)用需求。

    Abstract:

    Differences in geographic location and environmental factors lead to differences in rice quality. Rice of high quality origin has excellent quality and taste and is more attractive to consumers, so it is important to study the origin traceability of rice and establish a credible traceability system of rice origin. The traditional IoT blockchain traceability system uploads traceability data to a centralized server, which in turn uploads it to the blockchain;this does not make good use of the resources in the edge nodes and also makes it vulnerable to security risks such as data forgery or data loss. A set of rice origin traceability model was designed based on blockchain and edge computing. The edge layer of this model divided the local blockchain network according to the origin latitude and longitude, each origin region chain contained multiple edge nodes and one core node, and relied on the edge computing capability of embedded devices for real-time data fusion of sensor data and deployment of blockchain on embedded devices. Edge computing ensured the authenticity of the data source, and the blockchain ensured that the on-chain data cannot be tampered, and the combination of the two realized the trusted storage of traceability system data. In addition, the storage scaling method of the blockchain network under the edge computing scenario and edge computing workflow were designed. Finally, after testing and analysis, the average time for querying public traceability data was 45.84ms, the average time for querying private traceability data was 50.92ms, the average time for encrypting onchain of edge nodes was 1.27s, and the storage capacity consumption of edge multi-chain was 18% of that of traditional single-chain, which can meet the practical application requirements of rice origin traceability.

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孫傳恒,袁晟,羅娜,徐大明,楊信廷.基于區(qū)塊鏈和邊緣計算的水稻原產(chǎn)地溯源方法研究[J].農(nóng)業(yè)機械學(xué)報,2023,54(5):359-368. SUN Chuanheng, YUAN Sheng, LUO Na, XU Daming, YANG Xinting. Traceability Method of Rice Origin Based on Blockchain and Edge Computing[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(5):359-368.

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  • 收稿日期:2022-08-22
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  • 在線發(fā)布日期: 2023-05-10
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