摘要
智慧电梯建设将是电梯行业未来发展的趋势。本文分析了电梯相关机构的认可现状,研究采集了11万条电梯故障数据,通过大数据方法对这些数据进行了预处理,基于电梯物理知识对这些故障类型和原因进行了进一步分析,并给出了一些针对性的预防措施。
Intelligent elevator construction will be the trend of elevator industry in the future.This paper analyzes the accreditation status of elevator related institutions and collects 110000 elevator fault data and preprocesses them by big data method,based on the elevator physical knowledge,the fault types and causes are further analyzed,and some preventive measures are given.
作者
郭淼
潘锋
李斌
欧阳惠卿
王博
王会方
Guo Miao;Pan Feng;Li Bin;Ouyang Huiqing;Wang Bo;Wang Huifang(China National Accreditation Service for Conformity Assessment,Beijing 100062;Shanghai Institute of Special Equipment Inspection and Technical Reseach,Shanghai 200062;Nanjing Special Equipment Safety Supervision Inspection and Research Institute,Nanjing 210000)
出处
《中国特种设备安全》
2023年第7期63-67,共5页
China Special Equipment Safety
基金
中国合格评定国家认可中心科技项目(2022CNAS17、2021CNAS09-5)。
关键词
电梯
大数据
故障
预防
Elevator
Big data
Fault
Prevention
