机电工程技术2025，Vol.54Issue(17)：114-120,7.DOI:10.3969/j.issn.1009-9492.2025.17.021
基于物联网的电梯检测全链路闭环管理系统设计与效能优化
Design and Efficiency Optimization of an IoT-based Full-cycle Closed-loop Management System for Elevator Monitoring
摘要
Abstract
To address issues of missed detection,false records,and non-standard procedures in elevator inspections,a full-chain management system based on IoT and AI technologies is developed.The system is integrated with smart helmets,NFC identification cards,and multi-terminal platforms to establish standardized processes for hardware data collection,network transmission,software analysis,and management feedback.Detection items are automatically loaded by binding QR codes or NFC tags,and voice guidance is provided for step-by-step operations.Minimum detection time limits are set,and subsequent processes are automatically locked if requirements are not met.Personnel locations and equipment statuses are monitored in real time,with alarms triggered and inspections paused immediately when unauthorized absences,prolonged inactivity,or helmet removal are detected.Video feeds,sensor data,and operation logs are synchronized to the cloud to achieve full-process traceability and automatic report generation.In an experiment involving 100 elevators in Longyan City with grouped testing,the group using the new system achieves a missed detection rate of 5.3%,representing a 71.0%reduction compared to traditional methods(p<0.01).The total inspection time per elevator is reduced from 66.1 min to 53.8 min,improving efficiency by 18.6%,and report preparation time is decreased by 85%.Through mandatory process constraints and intelligent monitoring mechanisms,inspection behaviors are effectively standardized,providing a scalable technical solution to widespread industry challenges such as detection omissions and false records.关键词
物联网/电梯检测/闭环管理/系统设计/效能优化Key words
Internet of Things/elevator inspection/closed-loop management/system design/efficiency optimization分类
建筑与水利引用本文复制引用
郑信勇,吴蔚峰,王旭标,王曾赟,邱伟星,林桂宾..基于物联网的电梯检测全链路闭环管理系统设计与效能优化[J].机电工程技术,2025,54(17):114-120,7.基金项目
龙岩市科学技术局联合资金项目(2024LYF17008) （2024LYF17008）
