支持分布环境的农产品协同追溯平台构建  

Agro-food collaborative traceability platform for distributed environment

作　　者：钱建平[1] 范蓓蕾[1] 李洁[2] 李小刚[2] 赵丽[1] 王铄今[1] 史策[1] 

机构地区：[1]北京农业信息技术研究中心,北京100097 [2]天津市农村工作委员会信息中心,天津300201

出　　处：《农业工程学报》2017年第8期259-266,共8页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家重点研发计划项目-跨境食品快速通关关键技术研究及智慧口岸信息平台构建(2016YFD0401105)

摘　　要：农产品追溯系统的深入研究与应用,迫切需要提升统一追溯和协同分析能力。该研究以现有不同品类农产品的追溯系统为基础,包含数据整合、模型分析、应用提供3个层面,设计了农产品协同追溯平台框架;构建了包括企业资质、质量检测、产品追溯、消费者反馈4个因素及14个因子的企业信誉评价指标体系,建立了评价模型,可实现基于追溯数据的信誉评价;研究了多源异构数据集成技术和分层动态追溯技术。以天津市为例,以Microsoft Visual Studio 2010软件作为系统设计和开发工具,开发了放心农产品一体化追溯平台,为消费者提供追溯服务,为职能部门提供分析决策。从并发访问能力和追溯效果两方面进行分析,当并发用户数达到40时,单个事务的平均响应时间达到19 s,接近较好用户体验的临界点;与目前已有的追溯系统相比,平台具有多品类追溯、追溯信息多样性、追溯互动性强等特点。研究结果可为提高追溯信息集成度、增强追溯结果分析能力提供参考。With the development of information technologies and the improved consciousness of food safety, various agricultural product traceability systems have been developed and applied in China. Lack of data share between different systems has led to the decreasing of the credibility and analysis capacity. Therefore, establishing a collaborative traceability platform on the distributed environment is an urgent need to enhance the ability of unified traceability and collaborative analysis. Combining data from different business systems, a platform framework was constructed, which included 3 layers i.e. data integration, model analysis and application supply. Enterprise credit evaluation model was the important part in the model analysis layer. An evaluation index system with 4 factors and 14 sub-factors was designed. The index included enterprise qualification, quality inspection, product traceability, and consumer feedback. The evaluation factors＇ weight was confirmed using the AHP （analytic hierarchy process） method and the evaluation score was calculated with the weighted sum algorithm.. Multi-source heterogeneous data integration technology was researched based on ontology. It included 3 parts： Data format integration, semantic mapping and heterogeneous data analysis. Traceability information was described with five-factor knowledge ontology and expressed with OWL （Ontology Web Language）. Layered dynamic tracing technology was implemented in order to trace different agro-food in a unified platform. In this part, there were 2 layers including basis information and extended information designed, and the dynamic mechanism of invoking the traceability data was developed according to the product features. Taking Tianjin City as an example, and using Microsoft Visual Studio 2010 as the system design and development tool, the united traceability platform of agro-food safety was developed. It provided traceability service for the consumer, which was production tracing, enterprise credit overview and production ev

关 键 词：农产品 系统 模型 追溯 分布环境 平台 信誉评价 

分 类 号：TS201.6[轻工技术与工程—食品科学]