基于预测性维护的电梯按需维保可行性分析
Feasibility Analysis of Elevator On-demand Maintenance Based on Predictive Maintenance
崔天顺 1王黎斌 2朱俊超 2邓丽芬 2吴琳琳1
作者信息
- 1. 中国计量大学 能源环境与安全工程学院 杭州 310018
- 2. 杭州市特种设备检验科学研究院 杭州 310018
- 折叠
摘要
随着电梯数量快速增长,传统定期维保方式难以满足保障电梯安全稳定运行和成本控制的双重需求,按需维保是当前重点探索的方向,对电梯故障的智能化诊断、预测和维护决策是关键技术问题.本文从预测性维护理论的技术原理和特点出发,进行电梯按需维保领域应用的市场需求、技术条件和成本等可行性分析,建立基于预测性维护理论的按需维保流程框架,指出故障复杂性和数据稀疏性是实践中主要瓶颈问题,为电梯按需维保研究提供参考.
Abstract
With the rapid growth of the number of elevators,the traditional regular maintenance method is difficult to meet the dual needs of ensuring the safe and stable operation and cost control of elevators,on-demand maintenance is the direction of current key exploration,and intelligent diagnosis,prediction and maintenance decision-making of elevator faults are key technical issues.Starting from the technical principles and characteristics of predictive maintenance theory,this paper analyzes the feasibility of market demand,technical conditions and costs in the field of elevator on-demand maintenance,establishes an on-demand maintenance process framework based on predictive maintenance theory,points out fault complexity and data sparsity as the main bottlenecks in practice,and provides a reference for elevator on-demand maintenance research.
关键词
电梯/按需维保/预测性维护/可行性Key words
Lift/On-demand maintenance/Predictive maintenance/Feasibility引用本文复制引用
基金项目
国家市场监督管理总局科技项目(2022MK223)
浙江省市场监督管理局科技项目(全额自筹项目)(ZC2023055)
中国计量大学学生科研计划(第二十六届)(2023X26065)
出版年
2024
NETL
NSTL
万方数据