基于多链的果蔬全程全息信息管理模型构建与系统化实现

Construction and Systematic Implementation of Multi-chain-based Management Model for Fruits and Vegetables in Full-process and Information Scheme

摘要:

果蔬全供应链既具有业务环节繁杂、数据多源异构、利益角色众多等通用食品供应链特征，又具有风险演变趋势复杂、时效性要求强、存在突发新发风险等特性。为有效解决传统果蔬供应链监管方案存在的监管覆盖面不足、溯源效应周期长、各主体间协同效应差等问题，构建了基于区块链多链的果蔬全程全息信息管理模型，并进行了系统化验收。首先，在果蔬全程全息信息解析的基础上，构建基于多链的果蔬全程全息信息管理模型。然后，提出一种基于区块综合索引指数的果蔬信息快速检索方法，并设计了基于公证链的果蔬信息跨链安全交互机制。其次，基于长安链开源区块链平台设计并开发了果蔬全程全息信息管理原型系统。最后，进行了实验验证和系统案例应用分析。结果表明，本系统公开数据上链平均耗时为589.03ms，隐私数据上链平均耗时为708.59ms，公开数据查询平均耗时为26.87ms，隐私数据查询平均耗时为30.67ms。本文设计的基于多链的果蔬全程全息信息管理模型及系统在满足不同需求用户对于不同权限信息的上链和查询需求的同时，实现了对果蔬全程全息信息的穿透式监管，满足了企业对隐私数据的权限控制与安全共享需求，提高了果蔬信息检索效率，为果蔬全程全息信息管理模型开发提供参考与借鉴。

Abstract:

The full supply chain of fruits and vegetables not only has the characteristics of complex business processes, heterogeneous data sources, and numerous interest roles in the general food supply chain, but also has the characteristics of complex risk evolution trends, strong timeliness requirements, and the presence of sudden new risks. To effectively address the pain points of traditional fruit and vegetable supply chain supervision solutions, such as insufficient regulatory coverage, long traceability effect cycles, and poor collaborative effects among various entities, a blockchain based full-process and information management model for the entire process of fruits and vegetables was constructed, and a systematic acceptance was conducted. Firstly, based on the analysis of holographic information throughout full-process and information of fruits and vegetables, a multi-chain-based holographic information management model for fruits and vegetables was constructed. Then a fast retrieval method for fruit and vegetable information based on block comprehensive index was proposed, and a cross chain secure interaction mechanism for fruit and vegetable information based on notary chain was designed. Secondly, a prototype system for the full-process and information management of fruits and vegetables was designed and developed based on the open-source blockchain platform of chainMaker. Finally, experimental verification and system case application analysis were conducted. The results showed that the average time for public data uplink in this system was 589.03ms, the average time for private data uplink was 708.59ms, the average time for public data queries was 26.87ms, and the average time for private data queries was 30.67ms. The multi-chain-based full-process and information management model and system designed not only met the needs of different users with different permission informations for uploading and querying, but also achieved penetrating supervision of full-process and information of fruits and vegetables, and met the needs of enterprises for permission control and secure sharing of private data, improved the efficiency of fruit and vegetable information retrieval, and provided reference for the development of full-process and information management model.