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基于窄带物联网(NB - IoT)与多传感器的运动型巡航摩托车实时监测系统构建

On Construction of Real-Time Monitoring System for Sport Cruiser Motorcycles Using NB-IoT and Multi-Sensors.

作者信息

Kristiani Endah, Yu Tzu-Hao, Yang Chao-Tung

机构信息

Department of Computer Science, Tunghai University, Taichung City 407224, Taiwan.

Department of Informatics, Krida Wacana Christian University, Jakarta 11470, Indonesia.

出版信息

Sensors (Basel). 2024 Nov 23;24(23):7484. doi: 10.3390/s24237484.

Abstract

This study leverages IoT technology to develop a real-time monitoring system for large motorcycles. We collaborated with professional mechanics to define the required data types and system architecture, ensuring practicality and efficiency. The system integrates the NB-IoT for efficient remote data transmission and uses MQTT for optimized messaging. It also includes advanced database management and intuitive data visualization for enhancing the user experience. For hardware installation, the system follows strict guidelines to avoid damaging the motorcycle's original structure, comply with Taiwan's legal standards, and prevent unauthorized modifications. The implementation of this real-time monitoring system is anticipated to significantly reduce safety risks associated with mechanical failures as it continuously monitors inappropriate driving behaviors and detects mechanical abnormalities in real time. The study indicates that the integration of advanced technologies, such as the NB-IoT and multi-sensor systems, can lead to improved driving safety and operational efficiency. Furthermore, the research suggests that the system's ability to provide instant notifications and alerts through the platforms' instant messaging can enhance user responsiveness to potential hazards, thereby contributing to a safer riding experience.

摘要

本研究利用物联网技术开发了一种大型摩托车实时监测系统。我们与专业机械师合作,定义所需的数据类型和系统架构,确保实用性和效率。该系统集成了窄带物联网(NB-IoT)以实现高效的远程数据传输,并使用消息队列遥测传输(MQTT)进行优化消息传递。它还包括先进的数据库管理和直观的数据可视化,以提升用户体验。在硬件安装方面,该系统遵循严格的指导方针,以避免损坏摩托车的原始结构,符合台湾的法律标准,并防止未经授权的改装。预计该实时监测系统的实施将显著降低与机械故障相关的安全风险,因为它能持续监测不当驾驶行为并实时检测机械异常。研究表明,诸如窄带物联网(NB-IoT)和多传感器系统等先进技术的集成可提高驾驶安全性和运营效率。此外,研究表明该系统通过平台即时通讯提供即时通知和警报的能力可增强用户对潜在危险的反应能力,从而有助于提供更安全的骑行体验。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/605b/11644252/f4fbc5355dbe/sensors-24-07484-g001.jpg

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