摘要
本文提出了基于ZigBee语音和环境监测的智能头盔、集成矿井监控系统和语音传输系统的设计。智能头盔作为ZigBee无线传感器网络的移动节点,能够在井下环境中实时采集温度、湿度、光照等关键参数,并在检测到异常情况时,迅速向中央管理单位发出警报。低速率ZigBee网络语音传输系统确保矿工在遇到紧急情况时,与地面控制中心进行有效通信,提高了矿井安全生产水平,保障了矿工的生命安全。
This article introduces a smart helmet based on ZigBee voice and environmental monitoring,which integrates a mine monitoring system and a voice transmission system.The smart helmet,serving as a mobile sensor node in the ZigBee wireless sensor network,is capable of real-time collection of key parameters such as temperature,humidity,and illumination in the underground mining environment,and can promptly send alerts to the central management unit upon detecting abnormal conditions.The low-rate ZigBee network voice transmission system enables miners to communicate effectively with the ground control center in emergency situations.The use of this smart helmet not only enhances the level of safe production in mines but also safeguards the lives of miners.
作者
兰小艳
LAN Xiaoyan(Shanxi Engineering Vocational College,Taiyuan 030000,China)
出处
《晋城职业技术学院学报》
2025年第2期33-36,共4页
Journal of Jincheng Institute of Technology
基金
山西省教育科学“十四五”规划2022年度课题《高职院校人工智能专业的建设》(项目编号:GH-220096)。
作者简介
兰小艳(1991-),女,山西吕梁人,讲师,硕士。主要研究方向为人工智能应用技术。
