电梯风险预警平台数据的噪声消除与分类挖掘

Noise elimination and classification and mining of lift risk warning platform

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, analyzcs 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.