基于多源大数据食品安全监测预控系统的设计与实现

传统的食品安全监测常采用人工监测,存在效率低、及时性差、数据不完整等问题。为了实现食品安全监测过程中的资源信息共享,在北京市教委科技创新平台的支持下,进行了基于多源大数据的食品安全监测预控系统的设计开发。该系统的设计主要依靠Eclipse的开发环境,基于Java EE的开发平台,采用My SQL的后台关系数据库和Java语言进行编写实现。该系统可以实现数据实时存储更新、平台实时监控、网络快速传输数据、共享数据等功能。最后以农药残留实验为例,将系统的分析光谱与Opus采集的光谱波形进行了比较分析,分析结果完全一致。实验结果表明,该系统具备简化人工劳动、提高科研效率、能够实现资源共享且访问方便等优点。

Design and Realization of Food Safety Monitoring and Pre-Control System Based on Multi-Source and Big Data

The traditional food safety monitoring usually adopts the manual monitoring mode,which has the characteristics of low efficiency, poor timeliness, and incomplete data. In order to realize the sharing of resources and information in the process of food safety monitoring, this study designed and developed a food safety monitoring and control system based on the multi-source and big data under the support of Beijing education science and technology innovation platform.The system was designed mainly based on Eclipse''s development environment, Java EE development platform, My SQL background database and Java language. The system has many functions including datas'' storage, update, fast transmission,share and monitoring in real time. Finally, the pesticide residue experiment was taken as an example, and the analytical spectrum of the system was compared with the spectral waveform collected by Opus. The results were consistent. The experimental results show that the system has the advantages of simplifying manual labor, improving scientific research efficiency, realizing resource sharing, and convenient access.