起重运输机械Issue(3)：44-51,8.
电梯机房环境监控系统设计及方法研究
摘要
Abstract
In compliance with national standards and inspection regulations for elevator machine room environments,a machine room environment detection system was developed.This system is capable of continuously monitoring critical parameters such as temperature,humidity,voltage,noise,and flame smoke within the machine room.The voltage data is acquired using the CR3X three-phase alternating current parameter module,while the noise levels of the computer room host are captured by the SN-ZS-BZ onboard noise module.Temperature and humidity readings are obtained through the DS18B20 module.For visual detection of flame and smoke,the K210 visual recognition module is used,and it incorporates an enhanced YOLOv8 algorithm for improved accuracy in visual recognition tasks.The gathered data is transmitted to a single-chip microcontroller-based control system for processing.Subsequently,the processed information is relayed to a remote monitoring system via the wireless communication EC800M-CN module.It is verified that the system maintains high detection accuracy for temperature,humidity,noise,and voltage measurements.The enhanced algorithm achieves an mAP0.5 of 83.2%and an mAP0.5:0.95 of 51.2%,representing improvements of 2.8%and 2.7%over the original algorithm,respectively.These results substantiate the effectiveness of the monitoring system.关键词
机房环境/STM32/YOLOv8/视觉识别/算法改进Key words
machine room environment/STM32/YOLOv8/visual recognition/algorithm improvement分类
信息技术与安全科学引用本文复制引用
倪敏敏,路成龙,庆光蔚..电梯机房环境监控系统设计及方法研究[J].起重运输机械,2025,(3):44-51,8.基金项目
国家市场监督管理总局科技计划项目(2022MK156) （2022MK156）
