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中国农机化学报

中国农机化学报 ›› 2025, Vol. 46 ›› Issue (7): 72-78.DOI: 10.13733/j.jcam.issn.2095-5553.2025.07.011

• 农业信息化工程 • 上一篇    下一篇

鹿茸菇质量安全追溯信息指标模型研究与系统设计

王风云1,  2,梁志超1,万鲁长1,封文杰1,  2,何青海3,王帅1,  2   

  1. (1. 山东省农业科学院,济南市,250100; 2. 农业农村部华东都市农业重点实验室,济南市,250100;
    3. 山东省农业机械科学研究院,济南市,250100)
  • 出版日期:2025-07-15 发布日期:2025-07-02
  • 基金资助:
    山东省重点研发计划项目(2022CXGC010610);山东省自然科学基金面上项目(ZR2022MC067)

Study and system design of information index model for quality and safety traceability of Lyophyllum decastes

Wang Fengyun1,  2, Liang Zhichao1, Wan Luzhang1, Feng Wenjie1,  2, He Qinghai3, Wang Shuai1,  2   

  1. (1. Shandong Academy of Agricultural Sciences, Jinan, 250100, China; 2. Key Laboratory of 
    East China Urban Agriculture, Ministry of Agriculture and Rural Affairs, Jinan, 250100, China; 
    3. Shandong Academy of Agricultural Machinery Sciences, Jinan, 250100, China)
  • Online:2025-07-15 Published:2025-07-02

摘要: 鹿茸菇作为珍稀食用菌,品质备受消费者关注。鹿茸菇工厂化栽培进入快速发展期,企业对品质控制的要求也非常严格。针对此需求,分析鹿茸菇质量安全的基础追溯单元、关键控制点和质量检测指标;利用两层追溯精度评价指标体系,采用层次分析法,通过构造判断矩阵、层次单排序和一致性检验,确定各项评价因子的权重,综合专家意见,利用德尔斐法,构建鹿茸菇质量追溯信息指标模型。基于此模型,利用区块链技术进行鹿茸菇质量安全追溯系统设计,提出一种新的链上链下追溯数据同步策略,降低数据篡改可能,分别采用MVP架构和微服务架构开发基于移动端和桌面端的智慧追溯系统,实现鹿茸菇工厂化生产全过程的质量安全追溯,进而促进鹿茸菇生产过程中的品质控制,保证食品安全。

关键词: 鹿茸菇, 质量安全, 追溯精度, 指标体系, 层次分析法, 区块链

Abstract: Lyophyllum decastes is a rare edible fungus and its quality has attracted much attention from consumers. The large-scale cultivation of Lyophyllum decastes factories has entered a period of rapid development, and in order to improve the brand of the enterprise, the requirements for quality control are also very strict. Based on these requirements, the basic traceability unit for quality safety of Lyophyllum decastes, the critical control point and the quality test indexes were analyzed. The weight of each evaluation factor was determined by using the evaluation index system of two-level traceability precision and the analytic hierarchy process (AHP) which included constructing judgement matrix, hierarchical single sort and consistency test. Then the quality traceability information index model of Lyophyllum decastes was established based on expert opinions and Delphi method, which provided a design basis for the development of the quality and safety traceability system of Lyophyllum decastes based on block chain. A new on-chain and off-chain data synchronization strategy is designed to reduce the possibility of data tampering. The smart traceability system for the entire process of Lyophyllum decastes factory production has been developed by using both MVP architecture and microservices architecture separately for mobile terminal and desktop platforms, thereby promoting the quality control in the process of production and ensuring the food safety.

Key words: Lyophyllum decastes, quality and safety, traceability accuracy, index system, analytic hierarchy process, blockchain

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