一种基于Hadoop和Pig的电梯预警系统

An Elevator Early Warning System Based on Hadoop and Pig

摘要: 介绍了电梯预警系统平台架构的基本组成，详细分析了预警平台各组成部分之间的关系和具体作用。对预警系统的各个功能模块进行了详细的分析介绍，并详细阐述了利用Hadoop和Pig技术进行电梯相关数据的分析过滤原理和流程，并对涉及到的一些关键参数也进行了分析。通过电梯预警系统，为进一步运用电梯大数据进行电梯的安全使用提供事前监管措施，提升了电梯管理的信息化水平。

Abstract: The basic structure of elevator early warning system platform is introduced, and the relationship and specific role of each component of the early warning system are analyzed in detail. The function modules of early warning system are analyzed and introduced, the principle of analyzing and filtering data process using Hadoop and Pig technology is described particularly, and some key parameters involved are also analyzed. Through the elevator early warning system, it can provide presupervision measures for the safe use of elevators by further using large data of elevators, and the information level of elevator management has been improved.