机械制造与自动化2024，Vol.53Issue(3)：151-154,4.DOI:10.19344/j.cnki.issn1671-5276.2024.03.032
基于时序数据的电梯数据清洗方法研究
Research on Data Cleansing Method of Elevator Based on Time Series Data
摘要
Abstract
In order to perform the data cleaning of aperiodic,non-Gaussian and intermittent traction type elevator and troubleshoot the abnormal data in the process of elevator operation,this paper proposes a data cleaning mode of modified long short-term memory network.Based on the IoT technology using a database to store the time-series data of abnormal data cleaning,the time series data of different lengths are extracted for division and filling,the long and short time neural network is used for modeling,and the initial abnormal data detection and cleaning are carried out.Data cleaning and data optimization are completed before the realization of fault prediction,life analysis and visualization of the elevator fault system.关键词
物联网/时间序列/数据管理Key words
IoT/time series data/data management分类
信息技术与安全科学引用本文复制引用
王容..基于时序数据的电梯数据清洗方法研究[J].机械制造与自动化,2024,53(3):151-154,4.基金项目
江苏省研究生科研与实践创新计划项目(SJCX21_0126) （SJCX21_0126）
