摘要
随着物联网技术的快速发展，远程设备监控系统在工业自动化、智慧城市和环境监测等领域的重要性日益凸显。本研究旨在设计并实现一种基于物联网的高效远程设备监控系统，以解决传统监控方式中实时性差、数据处理能力有限及扩展性不足的问题。通过采用低功耗无线通信协议与边缘计算架构，系统实现了对分布式设备的状态采集、数据传输、实时分析及远程控制功能。具体方法包括构建多层感知网络以优化数据采集效率，利用云计算平台进行大规模数据存储与处理，并结合可视化界面提供用户友好的交互体验。实验结果表明，该系统能够显著提升数据传输的稳定性和响应速度，同时支持高并发设备接入，满足复杂场景下的监控需求。本研究的主要创新点在于引入了动态资源分配机制以适应不同负载条件，并通过自适应算法优化了能耗表现。此外，系统具备良好的可扩展性与兼容性，为未来智能化设备管理提供了可靠的技术支撑。总体而言，该研究成果为物联网技术在远程监控领域的应用提供了新的思路与实践参考。
关键词：物联网；远程设备监控；边缘计算；动态资源分配；自适应能耗优化
Abstract
With the rapid development of Internet of Things (IoT) technology, the significance of remote device monitoring systems in fields such as industrial automation, smart cities, and environmental monitoring has become increasingly prominent. This study aims to design and implement an efficient IoT-based remote device monitoring system to address the issues of poor real-time performance, limited data processing capabilities, and insufficient scalability inherent in traditional monitoring methods. By employing low-power wireless communication protocols and edge computing architectures, the system achieves functions of state acquisition for distributed devices, data transmission, real-time analysis, and remote control. Specific approaches include constructing a multi-layer sensing network to optimize data collection efficiency, utilizing cloud computing platforms for large-scale data storage and processing, and integrating a visualization interface to provide user-friendly interaction experiences. Experimental results demonstrate that the system significantly enhances the stability of data transmission and response speed while supporting high-concurrency device access, thereby meeting monitoring requirements in complex scenarios. The primary innovation of this research lies in the introduction of a dynamic resource allocation mechanism to adapt to varying load conditions and the use of adaptive algorithms to optimize energy consumption performance. Additionally, the system exhibits excellent scalability and compatibility, providing a reliable technical foundation for future intelligent device management. Overall, this research offers new insights and practical references for the application of IoT technology in the field of remote monitoring.
Keywords：Internet Of Things; Remote Device Monitoring; Edge Computing; Dynamic Resource Allocation; Adaptive Energy Consumption Optimization
目 录
摘要 I
Abstract II
一、绪论 1
(一) 研究背景与意义 1
(二) 国内外研究现状分析 1
(三) 本文研究方法与技术路线 2
二、系统需求分析与架构设计 2
(一) 远程设备监控系统的需求分析 2
(二) 物联网技术在系统中的应用框架 3
(三) 系统功能模块划分与设计 3
三、系统关键技术实现 4
(一) 数据采集与传输方案设计 4
(二) 远程监控平台的构建与优化 5
(三) 安全机制的设计与实现 5
四、系统测试与性能评估 6
(一) 测试环境与方案设计 6
(二) 功能测试与结果分析 6
(三) 性能评估与优化策略 7
结 论 8
参考文献 9
