无线传感器网络在电力监测中的应用
Application of wireless sensor network in electric power monitoring
学 生 姓 名
专 业 电气工程及其自动化
学 号
指 导 教 师
职 称
二〇 年 月
毕业论文原创承诺书
1．本人承诺：所呈交的毕业论文《电力系统频率稳定性分析与控制策略》，符合《吉林工程技术师范学院毕业论文工作管理规定》中的各项要求，是在教师的指导下独立完成，无弄虚作假，抄袭剽窃情况。
2．本人在毕业论文中引用他人的观点和研究成果，均在文中加以注释或以参考文献形式列出，对本文的研究工作做出重要贡献的个人和集体均已在文中注明。
3．在毕业论文中出现的任何侵犯他人知识产权的行为，由本人承担相应的法律责任。
4．本人知道学校关于保存、使用毕业论文的规定，即：按照学校要求提交论文和相关材料的印刷本和电子版本；同意学校保留毕业论文的复印件和电子版本，允许被查阅和借阅；学校可以采用影印、缩印或其他复制手段保存毕业论文，可以公布其中的全部或部分内容。
以上承诺的法律结果将完全由本人承担！
作 者 签 名：
年 月 日
摘 要
本文全面综述了无线传感器网络（WSN）在电力监测领域的广泛应用及其面临的挑战，并提出了相应的优化策略。随着智能电网技术的不断进步，WSN作为一种高度分布式、自组织的网络系统，已成为电力监测领域的重要技术手段。WSN能够实时采集电力数据，实现故障检测与预警，分析电力质量，并加强电力设施的安全管理，极大地提升了电力系统的运行效率和安全性。然而，WSN在电力监测应用中也面临着诸多挑战。首先，能源供应难题限制了WSN节点的长时间运行；其次，复杂的环境条件对数据传输的稳定性和可靠性提出了更高要求；此外，网络安全威胁日益严峻，需要采取有效的安全防护措施；最后，环境适应性差是WSN在电力监测中面临的又一难题。为克服这些挑战，本文提出了多项优化策略。在能源管理方面，采用微型能源采集技术、自适应能量调度策略和低功耗传感器设计，以提高WSN节点的续航能力。在数据传输方面，通过优化数据包结构设计、路由选择算法和低延迟传输协议，确保数据的高效、可靠传输。在网络安全方面，设计安全加密通信协议、实施零信任网络架构和加强安全认证与身份管理，保障WSN的网络安全。在环境适应性方面，引入环境监测与自适应调整机制、多模态通信技术和环境感知的动态部署优化，提升WSN的适应性和稳定性。
关键词：无线传感器网络；电力监测；实时数据采集
Abstract
This paper comprehensively summarizes the wide application of wireless sensor network (WSN) in the field of power monitoring and its challenges, and proposes the corresponding optimization strategies. With the continuous progress of smart grid technology, WSN, as a highly distributed and self-organized network system, has become an important technical means in the field of electric power monitoring. WSN can collect power data in real time, realize fault detection and early warning, analyze the power quality, and strengthen the safety management of power facilities, which greatly improves the operation efficiency and safety of the power system. However, WSN also faces many challenges in electric power monitoring applications. First, the energy supply problem limits the long operation of WSN nodes; second, complex environmental conditions put higher requirements on the stability and reliability of data transmission; Moreover, the increasingly severe network security threat requires effective security protection measures; finally, poor environmental adaptability is another problem that WSN faces in power monitoring. To overcome these challenges, multiple optimization strategies are proposed. In terms of energy management, micro-energy acquisition technology, adaptive energy dispatching strategy and low-power sensor design are adopted to improve the endurance of WSN nodes. In terms of data transmission, it ensure efficient and reliable transmission of data is ensured by optimizing packet structure design, routing algorithm and low latency transmission protocol. In terms of network security, it designs a secure encryption communication protocol, implements a zero-trust network architecture, and strengthens security authentication and identity management to ensure the network security of WSN. In terms of environmental adaptability, the environmental monitoring and adaptive adjustment mechanism, multi-modal communication technology and the dynamic deployment and optimization of environmental awareness are introduced to improve the adaptability and stability of WSN.
Key Words: Wireless sensor network; Power monitoring; Real-time data acquisition
Application of wireless sensor network in electric power monitoring
学 生 姓 名
专 业 电气工程及其自动化
学 号
指 导 教 师
职 称
二〇 年 月
毕业论文原创承诺书
1．本人承诺：所呈交的毕业论文《电力系统频率稳定性分析与控制策略》，符合《吉林工程技术师范学院毕业论文工作管理规定》中的各项要求，是在教师的指导下独立完成，无弄虚作假，抄袭剽窃情况。
2．本人在毕业论文中引用他人的观点和研究成果，均在文中加以注释或以参考文献形式列出，对本文的研究工作做出重要贡献的个人和集体均已在文中注明。
3．在毕业论文中出现的任何侵犯他人知识产权的行为，由本人承担相应的法律责任。
4．本人知道学校关于保存、使用毕业论文的规定，即：按照学校要求提交论文和相关材料的印刷本和电子版本；同意学校保留毕业论文的复印件和电子版本，允许被查阅和借阅；学校可以采用影印、缩印或其他复制手段保存毕业论文，可以公布其中的全部或部分内容。
以上承诺的法律结果将完全由本人承担！
作 者 签 名：
年 月 日
摘 要
本文全面综述了无线传感器网络（WSN）在电力监测领域的广泛应用及其面临的挑战，并提出了相应的优化策略。随着智能电网技术的不断进步，WSN作为一种高度分布式、自组织的网络系统，已成为电力监测领域的重要技术手段。WSN能够实时采集电力数据，实现故障检测与预警，分析电力质量，并加强电力设施的安全管理，极大地提升了电力系统的运行效率和安全性。然而，WSN在电力监测应用中也面临着诸多挑战。首先，能源供应难题限制了WSN节点的长时间运行；其次，复杂的环境条件对数据传输的稳定性和可靠性提出了更高要求；此外，网络安全威胁日益严峻，需要采取有效的安全防护措施；最后，环境适应性差是WSN在电力监测中面临的又一难题。为克服这些挑战，本文提出了多项优化策略。在能源管理方面，采用微型能源采集技术、自适应能量调度策略和低功耗传感器设计，以提高WSN节点的续航能力。在数据传输方面，通过优化数据包结构设计、路由选择算法和低延迟传输协议，确保数据的高效、可靠传输。在网络安全方面，设计安全加密通信协议、实施零信任网络架构和加强安全认证与身份管理，保障WSN的网络安全。在环境适应性方面，引入环境监测与自适应调整机制、多模态通信技术和环境感知的动态部署优化，提升WSN的适应性和稳定性。
关键词：无线传感器网络；电力监测；实时数据采集
Abstract
This paper comprehensively summarizes the wide application of wireless sensor network (WSN) in the field of power monitoring and its challenges, and proposes the corresponding optimization strategies. With the continuous progress of smart grid technology, WSN, as a highly distributed and self-organized network system, has become an important technical means in the field of electric power monitoring. WSN can collect power data in real time, realize fault detection and early warning, analyze the power quality, and strengthen the safety management of power facilities, which greatly improves the operation efficiency and safety of the power system. However, WSN also faces many challenges in electric power monitoring applications. First, the energy supply problem limits the long operation of WSN nodes; second, complex environmental conditions put higher requirements on the stability and reliability of data transmission; Moreover, the increasingly severe network security threat requires effective security protection measures; finally, poor environmental adaptability is another problem that WSN faces in power monitoring. To overcome these challenges, multiple optimization strategies are proposed. In terms of energy management, micro-energy acquisition technology, adaptive energy dispatching strategy and low-power sensor design are adopted to improve the endurance of WSN nodes. In terms of data transmission, it ensure efficient and reliable transmission of data is ensured by optimizing packet structure design, routing algorithm and low latency transmission protocol. In terms of network security, it designs a secure encryption communication protocol, implements a zero-trust network architecture, and strengthens security authentication and identity management to ensure the network security of WSN. In terms of environmental adaptability, the environmental monitoring and adaptive adjustment mechanism, multi-modal communication technology and the dynamic deployment and optimization of environmental awareness are introduced to improve the adaptability and stability of WSN.
Key Words: Wireless sensor network; Power monitoring; Real-time data acquisition
