多域智能安全头盔

Kavitha S, Tammineni Loksai, Vanna Balaji Naidu, Shiva kumar, Venkatesha B
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引用次数: 0

摘要

摩托车事故和头部伤害是全球严重关切的问题,尤其是在普遍不遵守头盔规定的地区。针对这一问题,我们提出了一种多领域智能安全头盔,通过先进的传感器技术来保障骑手安全和预防事故。这种智能头盔集成了 MQ-3 酒精传感器和头盔检测传感器等传感器,以确保摩托车引擎启动前的安全条件。如果酒精含量超过阈值,点火系统就会关闭,防止醉酒骑行。头盔检测可促进头盔的使用,降低头部受伤的风险。可扩展的传感器基础设施可实现摩托车以外的多领域应用。这种头盔可以融入煤矿开采和消防等行业。在煤矿开采中,它可以监测环境条件和工人的生命体征。在消防领域,它可以检测有害气体并监控消防员状态。在摩托车运行过程中,头盔会持续监测关键参数--速度、倾斜度和环境--即时反馈不安全行为。在发生事故时,头盔的加速计会检测到撞击,并启动 GPS 定位和 GSM 向紧急联系人发出警报。这款智能头盔旨在提高摩托车的安全性,防止事故发生,并加快应急响应。它代表了在减少摩托车相关伤亡事故方面取得的进展,其功能可适应各行业和领域更广泛的安全应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Domain Smart Safety Helmet
Motorcycle accidents and head injuries are critical concerns globally, especially where helmet non-compliance is prevalent. To address this, a multi-domain smart safety helmet is proposed for rider safety and accident prevention through advanced sensor technology. This smart helmet integrates sensors like an MQ-3 alcohol sensor and helmet detection sensors to ensure safety conditions before the motorcycle engine starts. If alcohol levels exceed a threshold, the ignition system disables, preventing intoxicated riding. Helmet detection promotes helmet use, reducing head injury risk. The scalable sensor infrastructure enables multi-domain applications beyond motorcycles. This helmet can integrate into industries like coal mining and firefighting. In coal mining, it monitors environmental conditions and worker vital signs. In firefighting, it detects hazardous gases and monitors firefighter status. During motorcycle operation, the helmet continuously monitors critical parameters—speed, tilt, and environment—providing immediate feedback on unsafe behaviours. In accidents, the helmet's accelerometer detects impacts, activating GPS to pinpoint the location and GSM to alert emergency contacts. This smart helmet aims to enhance motorcycle safety, prevent accidents, and expedite emergency responses. It represents progress towards reducing motorcycle-related injuries and fatalities, with adaptable features for broader safety applications across industries and domains.
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