Context-Aware System Modeling Based on Boolean Control Network

Boolean control network consists of a set of Boolean variables whose state is determined by other variables in the network. Boolean network is used for modeling complex system. In this paper, we have presented a model of a context-aware system used in smart home based on Boolean control networks. This modeling describes the relationship between the context elements (person, time, location, and activity) and services (Morning Call, Sleeping, Guarding, Entertainment, and normal), which is effective to logical inference. We apply semi tensor matrix product to describe the dynamic of the system. This matrix form of expression is a convenient and reasonable way to design logic control system.

Design and Implementation of a Novel HomePlug-Based Solution for Low Cost and High Performance Smart Home Networking

As the smart home is the end-point power consumer, it is the major part to be controlled in a smart micro grid. There are so many challenges for implementing a smart home system in which the most important ones are the cost and simplicity of the implementation method. It is clear that the major share of the total cost is referred to the internal controlling system network; although there are too many methods proposed but still there is not any satisfying method at the consumers＇ point of view. In this paper, a novel solution for this demand is proposed, which not only minimizes the implementation cost, but also provides a high level of reliability and simplicity of operation; feasibility, extendibility, and flexibility are other leading properties of the design.

Network security protection technology for a cloud energy storage network controller

As part of the ongoing information revolution,smart power grid technology has become a key focus area for research into power systems.Intelligent electrical appliances are now an important component of power systems,providing a smart power grid with increased control,stability,and safety.Based on the secure communication requirements of cloud energy storage systems,this paper presents the design and development of a node controller for a cloud energy storage network.The function division and system deployment processes were carried out to ensure the security of the communication network used for the cloud energy storage system.Safety protection measures were proposed according to the demands of the communication network,allowing the system to run safely and stably.Finally,the effectiveness of the system was verified through a client-side distributed energy storage demonstration project in Suzhou,China.The system was observed to operate safely and stably,demonstrating good peak-clipping and valley filling effects,and improving the system load characteristics.

A Realistic ICT Network Design and Implementation in the Neighbourhood Area of the Smart Grid

The Smart Grid has three main characteristics, which are to some degree antagonistic. These characteristics are: provision of good power quality, energy cost reduction and improvement in the reliability of the grid. The need to ensure that they can be accomplished together demands a much richer ICT monitoring and control network than the current system. In this paper we particularly investigate the design and deployment of the ICT system in the urban environment, specifically in a university campus that is embedded in a city, thus it represents the Neighbourhood Area Network (NAN) level of the Smart Grid. In order to design an ICT infrastructure, we have introduced two related architectures: namely communications network architecture and a software architecture. Having access to the characteristics of a real NAN guides us to choose appropriate communication technologies and identify the actual requirements of the system. To implement these architectures at this level we need to gather and process information from environmental sensors (monitoring e.g. temperature, movement of people and vehicles) that can provide useful information about changes in the loading of the NAN, with information from instrumentation of the Power Grid itself. Energy constraints are one of the major limitations of the communication network in the Smart Grid, especially where wireless networking is proposed. Thus we analyse the most energy efficient method of collecting and sending data. The main contribution of this research is that we propose and implement an energy efficient ICT network and describe our software architecture at the NAN level, currently very underdeveloped. We also discuss our experimental results. To our knowledge, no such architectures have yet been implemented for collecting data which can provide the basis of Decision Support Tools (DSTs).

时变内耦合复杂网络的平衡态同步smart变结构控制(英文)

当前同步控制问题是复杂网络研究的热点之一.本文针对具有时变内耦合结构的复杂网络,利用结点混沌动态的各态历经性,通过构造合适的滑模面,提出了smart变结构控制器的设计策略.该策略可使复杂网络动态行为趋向于所构造的全局吸引区域,从而最终实现复杂网络在平衡态的渐近同步.最后,基于3种不同拓扑结构的Lorenz结点动态的复杂网络进行仿真实验表明该控制方案具有较好的鲁棒性和有效性.

Enhancing Smart Grid with Session-Oriented Communication System to Truly Support Reliability and Robustness

Environmental sustainability issues and the costs of new power generation and transmission have increased the interest in evolving current power grid to new technologies. The Smart Grid is a promising technology, since it allows a distributed computing approach with potentials for self-diagnosing/-healing, reliable multi-user communication and fast hard real-time control. However, the missing standardization associated with heterogeneity of legacy systems and wide-area service demands, makes very challenging to adopt Smart Grid in a cost-effective way. By considering this, we propose the Session-Oriented Communication System (SOCSys) to overcome the above issues by enhancing Smart Grid with truly reliable and robust capabilities over heterogeneous environments. SOCSys achieves this goal by orchestrating session-control with innovative network-centric facilities operating over a wireless mesh Information Network compliant with IEEE 802.11e/s standard. The simulation results show that SOCSys improved network performance in terms of bandwidth utilization and minimization of delay, while consuming low network resources. Graphical analyses showed that SOCSys supported multimedia sessions with excellent quality, where it outperforms the experiments with regular settings.

Closed Loop Control of Bi-Directional Soft Switched Quasi Z-Source DC-DC Converter

Quasi Z-source converter is a single stage soft switched power converter derived from Z-source converter topology, employing an impedance network coupling the source with the converter. The quasi Z-source source converter can buck or boost the voltage and current flow is bidirectional. The duty cycle of the switch can be adjusted to maintain constant voltage during load change. To obtain constant output voltage, proper controller design is a must. This paper presents closed loop control of quasi Z-source converter using PI controller where controller parameters are estimated using the small signal model of the entire system. The transfer function of the system with AC sweep is used to obtain appropriate proportional and integral gain constants to reduce transient dynamics and to reduce steady state error.

面向立体化异构网络的智融协同传输方法

为应对空天地立体化异构网络中由于节点异构性及连通变化带来的复杂挑战,提出了具备有界无环无阻策略更新能力的传输控制方法HWCTC.该方法以跨层协同控制的方式将网络路由算法引入传输控制框架;在此基础上将路由更新节点的选择问题建模为节点搜索问题,使网络传输中需考虑被调用的资源限定在有界范围内.在此基础上,设计了一种基于广度优先的启发式递增搜索算法,该算法能够有效进行全局和局部的路由配置更新,同时确保新路径无环路且无网络黑洞.此外,为适应空天地立体化异构网络环境的波动性,还设计了一种多模式混合的拥塞控制机制,该机制能在接近网络带宽阈值时切换到更平缓的增窗模式,及时调整策略以应对网络中可能出现的多种情况.仿真实验的结果表明,HWCTC方法在动态且高丢包率的空天地立体化异构网络环境下,不仅提供了高质量的数据传输服务,且相比于经典的Cubic和Reno方法,实现了约61.5%的吞吐量提升,显著增强了数据传输的稳定性,有效减少了节点路由动态变化对传输性能的影响.

基于无线传感器网络节点的老人智慧鞋履设计

当前老人智慧鞋履的提醒程序多设定为单次结构,整体的提醒效率较低,为此提出基于无线传感器网络节点的老人智慧鞋履的设计与实践应用。根据当前测定,先进行传感器及无线传感网络节点接入多目标健康提醒程序的设计,进行实时数据采集与定点传输,设计多目标健康提醒程序,构建无线传感器网络节点老人鞋履总控系统,最终采用智能报警的方式完成智慧鞋履的设计。测试结果表明:针对选定的6名测试人员,结合制定的3个测试指令组,最终得出的智慧鞋履的响应时延均被较好地控制在0.3 s以下,说明此次在无线传感器网络节点原理的辅助下,所设计的老人智慧鞋履更加灵活、高效,应用效果更佳。

电力通信系统中的软件定义网络技术应用

文章阐述电力通信系统的构成要素及其功能定位,深入解析软件定义网络(Software Defined Network,SDN)的基本理念和架构设计,并对比分析其与传统网络技术的差异。探讨SDN在电力通信领域的运用范围,包括智能电网的监控与管理、电力设备的监管与操控以及能源的高效配置与故障的快速恢复,为我国电力系统的现代化升级提供技术路径。

分布式能源接入智慧配电网的功率控制与优化策略

专注于分布式能源在智慧配电网中的功率控制与优化策略,介绍了智慧配电网的架构和分布式能源的接入特点,深入探讨了分布式能源的功率控制技术,包括无功调节、有功调节等,并研究了协调控制逻辑。针对优化策略,研究了实时监测、新能源功率预测、储能系统集成和风光储协调运行策略。通过模拟和实验,得出了仿真实验结果,并进行了深入讨论。

高校智慧网络管控平台建设研究与实践

在智慧校园建设进程中,教育信息化不断引领和支撑着高等教育治理能力的现代化发展。随着对数据价值的深入挖掘和智能管理的实施,智慧网络管控平台在数字化校园转型发展中显示出重要的作用。传统校园中主要存在信息资源管理不当、运维效率低下、信息孤岛现象严重等问题,已成为制约校园信息化发展的关键。因此,构建新一代智慧网络管控平台显得尤为重要,其不仅解决了传统校园的信息管理问题,也提升了校园信息化水平,满足了日益增长的网络使用需求。以南京理工大学为例,通过对智慧网络管控平台运行实践中发现的问题进行深度分析,结合实际校园使用需求,提出平台未来可能的改进策略,对平台与人工智能技术相结合的发展前景作出规划,也为其他高等教育机构建设智慧网络管控平台提供了宝贵的参考。

基于电源与配电网结合的智能电网监测与控制系统设计

随着智能电网的绿色低碳发展,分布式电源不断接入智能电网,给智能电网监测与控制来带众多挑战。因此,提出基于电源与配电网结合的智能电网检测与控制系统设计。文章主要分析智能电网发展、监测与控制面临的挑战以及分布式电源并网方式,并探讨基于电源与配电网结合的智能电网监测与控制系统设计的功能定义、架构以及优化策略。

基于物联网和云计算的智能家居系统设计与实现

目前,智能家居系统逐渐成为现代家庭生活的重要组成部分。文章旨在设计和实现一种基于物联网和云计算的智能家居系统,以提高家庭生活的便捷性、舒适性和安全性。实验结果表明,基于物联网和云计算的智能家居系统能够有效实现用户对家庭设备的智能控制与监测,从而提升了家居生活的便捷性和智能化水平。

基于5G通信技术的智慧城市光纤网络控制系统设计

随着智慧城市建设的快速推进,传统光纤网络控制系统已难以满足其高要求。文章基于5G通信技术设计了智慧城市光纤网络控制系统,包括网络监控、安全防护以及智能调度3个核心模块。该系统充分利用5G通信技术的超高速率、超低时延以及大连接特性,实现了网络全生命周期的实时感知、多层次安全防护以及智能化资源调度。实验结果表明,与传统4G系统相比,本系统在异常检测、安全防御以及资源调度等方面均表现出显著优势,为智慧城市提供了高质量、高可靠的网络服务保障。

模糊神经网络控制算法在农业智能监测系统中的应用

阐述农业智能监测系统中的模糊神经网络设计,包括输入变量的选择、神经网络结构的设计、模糊化和解模糊化方法。探讨模糊神经网络自动控制算法在农业智能监测系统中的应用。

智能配电网的故障处理自动化技术

配电网络的智能化配电运维的一体化建设对其行业的可持续发展具有积极的现实意义。传统运行模式已经无法适应当前需要,在智能化建设的背景下,智能配电网得到了迅速发展。为了保障电力供应的质量与稳定性,通过故障处理自动化技术应用,有效整合配电网络、优化故障处理流程。基于此,本文主要分析了智能配电网的故障处理自动化技术。

智慧水务在供水管网漏损控制方面的运用分析

城镇供水管网漏损率居高不下是当前城镇供水亟须解决的课题之一。根据国内外供水管网漏损治理现状,分析城镇供水管网漏控成效难达预期的原因,针对智慧水务与广州市某区管网漏控开展相关论述,结合该供水单位实际建设及运行情况,分析智慧水务系统对于管网漏损控制的实践意义。在实际工作中,通过智慧水务管理体系,能够有效提高漏损控制工作的效果,并对未来相关领域的发展提供帮助。

基于人工智能算法的智能电网建模与控制策略研究

全球能源转型的步伐加快和技术不断进步,使得智能电网成为未来能源领域的关键焦点,并受到广泛关注。文章系统性地探讨了如何利用人工智能技术对智能电网进行高效建模和智能控制,将人工智能技术中的BP神经网络和基于DQN算法的强化学习方法引入智能电网的建模和控制策略设计中,取得了较为良好的研究成果。面向未来,文章所提出的智能电网建模与智能控制策略有望进一步推动电网运行的自动化和智能化,为全球能源转型和可持续发展做出更大的贡献。

基于5G的智能配电网自协商供电终端系统设计与实现

文章提出一种基于5G的智能配电网自协商供电终端系统,该系统采用分层架构设计,包括感知层、通信层、应用层以及支撑平台。感知层通过多元异构传感器全面感知配电网运行状态,通信层利用5G技术构建高速、可靠、灵活的数据传输通道,应用层则采用多智能体强化学习框架实现供电终端的自主协商与优化控制,支撑平台提供高效、可靠的数据处理与知识服务支撑。通过仿真试验验证,该系统在供电可靠性、电能质量、优化效率等方面表现出显著优势。