RFID与MongoDB融合的分布式云仓储管理系统

利用非关系型数据库具有数据存储不需要固定表结构、不存在连接操作的特性,建立起来的非关系型分布式云存储数据管理,具有比关系型数据库存储管理更好的性能优势。通过基于MongoDB建立的分布式云存储架构,结合底层的Angular和RFID技术,设计实现一种分布式云存储智能仓储管理系统,以解决现代商品仓储管理存在的数据规模大、异地数据不同步、数据共享度低、管理成本高等问题。针对MongoDB为了加速对查询或修改过的数据访问速度而采取记忆并缓存至本地的策略,以及对某节点数据的高密度访问可能造成数据拥堵的问题,设计了基于数据操作频率统计技术的节点均衡访问算法,并对算法的均衡关系参数进行优化验证。系统包括商品的进出库管理、查询统计等基本功能,可应用于数量、地域不断扩大的分散型仓储智能管理。

Distributed Cloud Warehousing Management System for RFID and MongoDB Fusion

Non-relational distributed cloud storage data management established by using non-relational database which has the characteristics of data storage without fixed table structure and no join operation has a performance advantage over relational database storage management.A distributed cloud storage intelligent warehouse management system is designed and implemented by building a distributed cloud storage architecture based on MongoDB and combining with the underlying Angular and RFID technologies,to solve the problems existing in modern commodity warehouse management,such as large data scale,data asynchrony,low data sharing and high management costs.For the strategy of memorization and caching to local of MongoDB to improve the access speed of the query or modified data,as well as the problem that the high-density access to the data of some node may cause data congestion,we design a node equalization access algorithm based on the data operation frequency statistics technology,and optimize and verify its equalization relation parameters.The system includes basic functions such as inbound and outbound management of goods,query and statistics,etc,which can be applied to decentralized intelligent storage management with increasing quantity and area.