摘要
农产品可追溯系统是保障农产品质量安全的重要措施,系统中的数据体现了海量、异构、多源的大数据特点,因此研究大数据背景下的农产品可追溯系统的框架和关键技术具有重要的理论价值和实践意义。首先构建了大数据背景下农产品可追溯系统的总体框架并介绍了每层的主要功能;然后分析了该框架下的感知数据采集、负载均衡管理和大数据建库等关键技术;最后基于ZigBee技术和Hadoop平台对系统的关键部分进行了原型实现。
The agricultural product traceability system is an important measure to guarantee the quality safety of agricultural products. The data in the system is massive, heterogeneous and multi-sourced, reflecting the features of Big Data. Therefore, it has important theoretical and practical significance in studying the framework of agricultural product traceability and key technologies under the Big Data background. This paper first built a general framework of the system and introduced the primary function of every layer. Then, the key technologies including sensor data acquisition, load balancing and database building based on Big Data were analyzed. Finally, the key part of the system based on ZigBee technology and Hadoop platform was implemented by the prototype.
出处
《合肥师范学院学报》
2015年第6期51-54,共4页
Journal of Hefei Normal University
基金
安徽省电子商务教学团队(2013jxtd115)
安徽省企业发展专项资金项目(201350)
安徽省社科创新发展研究课题(A2015020)
