电梯风险预警平台数据的噪声消除与分类挖掘

摘要

介绍了物联网应用于电梯监管工作的项目背景,分析了风险预警技术的大数据特点,讨论了电梯物联网的数据分类挖掘的步骤和重点,并对基于BP神经网络的数据分类筛选过程进行举例,为下一步运用数据进行电梯风险预警打下基础.%The paper introduces the project background of the Internet of Things applied to the lift supervision work , analyzes big-data characteristics of risk warning technologies , discusses the procedures and emphases of data classification and mining of life Internet of Things , and gives examples of data classification and screening process based on the BP neural network, providing foundation for subsequent elevator risk warning with the data .