Multi-source heterogeneous data access management framework and key technologies for electric power Internet of Things

The power Internet of Things(IoT)is a significant trend in technology and a requirement for national strategic development.With the deepening digital transformation of the power grid,China’s power system has initially built a power IoT architecture comprising a perception,network,and platform application layer.However,owing to the structural complexity of the power system,the construction of the power IoT continues to face problems such as complex access management of massive heterogeneous equipment,diverse IoT protocol access methods,high concurrency of network communications,and weak data security protection.To address these issues,this study optimizes the existing architecture of the power IoT and designs an integrated management framework for the access of multi-source heterogeneous data in the power IoT,comprising cloud,pipe,edge,and terminal parts.It further reviews and analyzes the key technologies involved in the power IoT,such as the unified management of the physical model,high concurrent access,multi-protocol access,multi-source heterogeneous data storage management,and data security control,to provide a more flexible,efficient,secure,and easy-to-use solution for multi-source heterogeneous data access in the power IoT.

Fault location of distribution networks based on multi-source information

In order to promote the development of the Internet of Things(IoT),there has been an increase in the coverage of the customer electric information acquisition system(CEIAS).The traditional fault location method for the distribution network only considers the information reported by the Feeder Terminal Unit(FTU)and the fault tolerance rate is low when the information is omitted or misreported.Therefore,this study considers the influence of the distributed generations(DGs)for the distribution network.This takes the CEIAS as a redundant information source and solves the model by applying a binary particle swarm optimization algorithm(BPSO).The improved Dempster/S-hafer evidence theory(D-S evidence theory)is used for evidence fusion to achieve the fault section location for the distribution network.An example is provided to verify that the proposed method can achieve single or multiple fault locations with a higher fault tolerance.

Accessibility of Urban Rail Transit in Post-Winter Olympics Period Based on Internet Map: A Case Study of Beijing

After the Winter Olympics,Beijing proposed to speed up the construction of rail transit.Taking Beijing as the research object,the accessibility of rail transit stations in the 6 districts of the city were analyzed by using POI services and route planning services provided by Internet map providers,relying on ArcMap10.6 platform.The research holds that the development of rail transit in Beijing is not sufficient and unbalanced.Network density has an important influence on the accessibility of rail transit stations.The travel mode of rail transit + cycling can improve the accessibility of stations in underdeveloped areas.In Shijingshan District,the accessibility of rail transit stations in the region can be improved by optimizing the slow traveling environment between the Winter Olympics branch line,Subway Line 6 and Subway Line 1.

Information freshness optimization of multiple status update streams in Internet of things:Generation rate control and service rate reservation

The Internet of things(IoT)has become a key infrastructure providing up-to-date and fresh information for policy analysis and decision-making of upper-layer applications.However,there are limited sensing and communication resources in IoT devices,which significantly affects the timeliness and freshness of the updated status.This work proposes two schemes,namely,the generation rate control and service rate reservation schemes,to improve the overall information freshness of multiple status update streams at the receiver.Specifically,using the recently proposed Age of Information(AoI)as the metric for evaluating information freshness,we characterized the overall information freshness,i.e.,the overall average AoI at the receiver for both schemes,by considering the urgency difference of status update and streams.Both schemes for status updates and streams,respectively,were formulated as two optimization problems.We proved that both problems are convex and the optimal generation and service rates for different streams are found by the standard convex optimization algorithm.Moreover,we proposed both approximate optimal generation and approximate optimal service rate for fast deployment in heavy and light load cases.Numerical results verify the theoretical findings and accuracy of the proposed approximate solutions,guiding the design and deployment of IoT.

Internet of things:Conceptual network structure,main challenges and future directions

Internet of Things(IoT)is a key technology trend that supports our digitalized society in applications such as smart countries and smart cities.In this study,we investigate the existing strategic themes,thematic evolution structure,key challenges,and potential research opportunities associated with the IoT.For this study,we conduct a Bibliometric Performance and Network Analysis(BPNA),supplemented by an exhaustive Systematic Literature Review(SLR).Specifically,in BPNA,the software SciMAT is used to analyze 14,385 documents and 30,381 keywords in the Web of Science(WoS)database,which was released between 2002 and 2019.The results reveal that 31 clusters are classified according to their importance and development,and the conceptual structures of key clusters are presented,along with their performance analysis and the relationship with other subthemes.The thematic evolution structure describes the important cluster(s)over time.For the SLR,23 documents are analyzed.The SLR reveals key challenges and limitations associated with the IoT.We expect the results will form the basis of future research and guide decision-making in the IoT and other supporting industries.

Design and Realization of Block Level Augmented Reality Three-Dimensional Map

In response to the construction needs of “Real 3D China”, the system structure, functional framework, application direction and product form of block level augmented reality three-dimensional map is designed. Those provide references and ideas for the later large-scale production of augmented reality three-dimensional map. The augmented reality three-dimensional map is produced based on skyline software. Including the map browsing, measurement and analysis and so on, the basic function of three-dimensional map is realized. The special functional module including housing management, pipeline management and so on is developed combining the need of residential quarters development, that expands the application fields of augmented reality three-dimensional map. Those lay the groundwork for the application of augmented reality three-dimensional map. .

无等待与时隙映射复用结合的时间触发流调度方法

工业控制系统中众多应用的正常运行依赖于确定性低时延的网络传输,这一需求推动了时间敏感网络的发展。为保证工业控制系统中流量传输的确定性,提出了无等待与时隙映射复用结合的时间触发流调度方法。首先,对工业控制系统时间敏感网络的通信要素进行建模,通过分析时间触发流的特性,简化了链路、流传输、流隔离和帧隔离等约束条件;其次,使用基础周期作为调度循环时间,实时流采取无等待调度,循环流采取时隙映射复用,从而缩短了门控列表长度;然后,提出了基于数据帧传输区间中点的冲突判别方法,降低了时隙冲突判断的时间复杂度;最后,设计了时间触发流调度优化函数,并基于改进的多目标遗传算法进行求解。实验验证了该方法的正确性与可行性,平均门控列表长度缩短了59.7%。

工业物联网系统基于混沌映射三因素认证与密钥协商协议

工业物联网系统通过各类终端传感器设备,将采集的关键工业数据实时传输到工业物联网平台,提供数据智能分析与决策。然而,对工业数据的非法访问将导致数据或敏感身份标识泄露、数据篡改等信息安全问题,影响工业物联网系统的正常运行。基于此,文章面向工业物联网系统,搭建多用户、多网关、多工业物联网平台下的分布式数据匿名传输架构,提出基于混沌映射的三因素认证与密钥协商协议。协议实现了用户到移动终端设备的智能卡、口令、生物特征信息的三因素登录认证。在网关协助下,用户利用移动终端设备,基于混沌映射技术与关键凭证,实现了用户到工业物联网平台的双向匿名认证,并协商了用于后续保密通信的会话密钥。文章对协议进行了应用拓展,包括用户口令与生物特征信息的更新、智能卡撤销的功能,基于中国剩余定理实现了对多网关的密钥同步更新。安全性分析与性能评估表明,该设计协议能够安全高效地部署在工业物联网系统。

基于地理信息的智慧校园空间位置服务应用研究

随着高校信息化的发展进程及日常教学管理中对地理信息空间位置信息的需求越来越多,GIS被广泛的应用于校园各类场景中,结合物联网、数字孪生、可视化等技术,建设空间位置中台、空间位置数据、空间位置门户、位置服务应用及数据展现IOC应用场景。通过学校统一建设具备室内外空间位置服务能力的基础平台,有效解决了GIS平台重复建设和数据不统一规范的问题。

Internet测量与分析综述

Internet的测量与分析为加强网络管理、提高网络利用率、防范大规模网络攻击提供了技术平台,已成为学术界、企业界和国家政府部门所普遍关心的重要问题之一.介绍了网络测量与分析的主要研究内容,以及国内外相关领域的研究现状,并对该领域的关键技术和难点问题进行了分析,同时给出了网络测量与分析的3个典型应用案例.

基于Internet的网络地图交互制图实现研究

网络地图是指在万维网(WWW)上浏览、编辑、制作的地图,它作为一种空间信息的可视化与传播形式不仅包括在Web上浏览地图,还包括在Web上编辑制作地图。目前网络地理信息系统中仅仅做到对网络地图的发布已不能够满足广大WebGIS用户的工作需求,因此在网络地理信息系统中还应提供网络地图在浏览器端的交互制图功能。针对这一问题提出了基于Internet的网络地图交互制图的实现方法,并将其应用到了重庆市渝北区土地利用规划管理信息系统中,成功地实现了在浏览器端对地图进行交互制图操作。

地理信息标注内容审查平台设计与实现

通过对地理信息标注内容表示的有关法律法规要求进行梳理,结合实际审查工作积累的经验,构建了地理信息标注内容审查敏感词库和白名单库;根据地理信息标注内容审查业务需求,开发实现了地理信息标注内容审查数据提交、敏感词库管理、白名单库管理、内容审查、版本管理、统计分析、权限管理等功能。将该系统用于实际工作中,提升了地理信息标注内容审查工作的规范化、信息化、智能化水平。

Internet宏观拓扑的协议映射与分析

从协议角度,利用拓扑学和图论方法研究了Internet宏观拓扑的网络性能和形成机理。在给定Internet宏观拓扑的图论定义后,通过找到一个协议通信模式到Internet宏观拓扑的可行映射条件,进而分析了Internet宏观拓扑的连通度和平均拓扑距离。结果表明Internet宏观拓扑的形成机理源于协议的无限空间换取有限时间效应的设计原理,使得Internet可以实现实时通信,即在满足网络可靠性的同时,又保证网络的有效性。

电力物联网载波通信节点数据聚合隐私保护算法

电力物联网对通信数据的处理必须遵循隐私连接协议,为保障电力载波通信效果,维护数据的隐私性,提出电力物联网载波通信节点数据聚合隐私保护算法。在电力物联网载波通信平台中,定义完整的聚合映射表达式,完成对载波通信节点数据的聚合处理。按照隐私加密协议,求解多维聚合向量与审计参数,保证电力物联网主机能对通信数据进行编码处理,实现电力物联网载波通信节点数据聚合隐私保护算法的设计。实验结果表明,在所提算法作用下,数据链路聚合长度最大值达到了9.4×10^(8)bit,且物联网主机对于通信数据的处理完全遵循隐私连接协议,能够实现高水平的电力载波通信。

英文“Internet of Things”研究热点与趋势分析

物联网实现物与物、人与物的互联,具有十分广阔的市场和应用前景。运用信息计量学、自研软件和以Citespace为代表的知识图谱工具相结合的方法对1987至2014年英文"Internet of Things"SCI文献的基本情况和研究热点与趋势进行了初步分析与可视化展现。通过对数据的处理和分析得出了英文"Internet of Things"SCI文献的期刊、国家、机构、学科、作者、高被引用文献等基本情况,并利用关键词共现、突现词检测等方法对英文"Internet of Things"研究的热点和未来的研究趋势进行了初步预测。研究表明,运用知识图谱工具分析物联网研究点与趋势,是一种有意义的手段。

基于知识图谱的语义融合模型构建方法研究

知识图谱具有良好的指标描述性能与解释能力。为了有效分析数字电网的业务全生命周期数据、形成以知识为导向的新型电网运维管理模式,开展了基于知识图谱的语义融合模型构建方法的研究。首先,构建基于物联网的电网数字模型,汇总数字电网信息。其次,针对数字电网,采用Protégé软件,通过七步法构建数字电网本体。最后,基于本体,采用自顶向下的方式生成知识图谱。基于上述建模方法,将知识图谱与模式识别相结合,设计一套语义提取框架。根据数字电网模型信息(图像、声音、文本等)提取的原子概念检测本体,推理出更高层次的复合语义特征。基于所获取的语义特征,结合知识图谱,试点数字电网信息语义融合,为推动统一模型的构建提供实践参考。

无人机应急测绘联动服务平台的设计与实现

传统无人机应急测绘资源缺乏有效合理的调度,存在响应及时性不足、作业过程无法实时感知等问题。针对如何提升应急测绘快速响应能力,本文设计了一套能够统筹调度广西无人机应急测绘资源的互联网在线共享测绘服务解决方案,研发了无人机应急测绘联动服务平台,接入各品牌、各类型无人机,实现应急测绘资源快速统筹调度,协同开展作业,应急测绘响应能力大幅提升。此外,该平台已复用于实际生产项目中,并得到了推广和应用。

毫米波雷达辅助的多机协同定位与建图研究

随着无人驾驶技术的发展,低空物联网逐步成为国家产业创新的重点方向。高精度与强适应的实时定位与建图是实现无人系统智能化运行的关键。然而,单一无人系统感知能力的局限性以及视觉传感器的易受干扰性,致使传统方法难以满足复杂动态环境下的实时定位与建图需求。为提升定位与建图的准确性和适应性,创新性地提出了一种毫米波雷达辅助的多机协同定位与建图方案。该方案深入挖掘毫米波雷达时、空、多普勒域等多维度特征,有效筛选可靠点云信息实现本地里程计以及局部地图构建。基于共享局部地图信息,设计多无人系统协同的全局优化机制,实现精准定位与建图。实验结果表明,该方案有效保障了系统的鲁棒性和精确性。

12306酒店预订平台数据指标体系构建研究

针对中国铁路12306互联网售票系统(简称:12306)酒店预订平台在数据指标口径与维度上缺乏统一标准,对业务监控能力弱的问题,研究构建12306酒店预订平台数据指标体系。文章应用目标策略指标模型,挖掘并拆解业务目标,梳理用户旅程地图,将数据指标体系拆解到业务场景中,遵循相互独立且完全穷尽(MECE,Mutually Exclusive, Collectively Exhaustive)的原则,构建3层协作的数据指标体系;设计并实现了数据指标管理系统,实现数据指标的实时更新及管理,并应用于产品迭代、运营策略调整、投放策略调整、过程优化等场景。实际应用表明,12306酒店预订平台数据指标体系的构建,有助于衡量业务发展质量,把控业务发展情况,促进业务持续有序高质量发展。

基于物联网的煤矿井下机电设备状态智能监测

提出基于物联网技术的煤矿井下机电设备状态智能监测方法。首先利用传感器设计物联网的信号采集器,采集煤矿井下机电设备的振动信号,并通过局域波分解算法剔除信号中的噪声,避免噪声对监测过程产生影响;其次设计物联网下的信号识别单元,并采用离散傅里叶变换法提取信号的特征;最后设计物联网中的信号控制单元,将信号特征输入到支持向量机中,通过对信号的实时预测实现多步自动监测,完成煤矿井下机电设备状态的物联网智能监测。实验结果表明,以物联网配合智能算法的实时监测设备效果好、响应时间短。