检索结果-南通市图书馆

Empowering smart city situational awareness via big mobile data

Frontiers of Information Technology & Electronic Engineering 2024年第2期25卷 286-307页

作者： Zhiguang SHAN Lei SHI Bo LI Yanqiang ZHANG Xiatian ZHANG Wei CHEN State Information Center Beijing100045China School of Computer Science and Engineering Beihang UniversityBeijing100191China Zhongguancun Laboratory Beijing100094China Beijing Tendcloud Tianxia Technology Co. Ltd.Beijing100027China The State Key Lab of CAD&CG Zhejiang UniversityHangzhou310027China

Smart city situational awareness has recently emerged as a hot topic in research societies,industries,and governments because of its potential to integrate cutting-edge information technology and solve urgent challenges that modern cities face.For example,in the latest five-year plan,the Chinese government has highlighted the demand to empower smart city management with new technologies such as big data and Internet of Things,for which situational awareness is normally the crucial first step.While traditional static surveillance data on cities have been available for decades,this review reports a type of relatively new yet highly important urban data source,i.e.,the big mobile data collected by devices with various levels of mobility representing the movement and distribution of public and private agents in the city.We especially focus on smart city situational awareness enabled by synthesizing the localization of hundreds of thousands of mobile software Apps using the Global Positioning System(GPS).This technique enjoys advantages such as a large penetration rate(∼50%urban population covered),uniform spatiotemporal coverage,and high localization precision.We first discuss the pragmatic requirements for smart city situational awareness and the challenges faced.Then we introduce two suites of empowering technologies that help fulfill the requirements of(1)cybersecurity insurance for smart cities and(2)spatiotemporal modeling and visualization for situational awareness,both via big mobile data.The main contributions of this review lie in the description of a comprehensive technological framework for smart city situational awareness and the demonstration of its feasibility via real-world applications.

关键词： Smart city Mobile data situational awareness

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

KPI-based Real-time situational awareness for Power Systems with a High Proportion of Renewable Energy Sources

引用

CSEE Journal of Power and Energy Systems 2022年第4期8卷 1060-1073页

作者： Tianhan Zhang Shengyuan Liu Weiqiang Qiu Zhenzhi Lin Lingzhi Zhu Zhao Dawei Minhui Qian LI Yang College of Electrical Engineering Zhejiang UniversityHangzhou 310027China Renewable Energy Research Center China Electric Power Research Institute(State Key Laboratory of Operation and Control of Renewable Energy&Storage SystemsJiangsu Engineering Technology Research Center for Energy Storage Conversion and Application)Nanjing 210003China

With the increasing complexity of power systems and the widespread penetration of renewable energy sources(RES),real-time situational awareness for power systems is of great significance for operational scheduling.Considering the impact of RES on power system operations,a situational awareness key performance index(KPI)system for power systems with a high proportion of RES is proposed in this paper,which consists of reserve capacity abundance,ramp resource abundance,center of inertia(COI)frequency deviation,interface power flow margin,synthesized voltage stability,and angle stability margin.Then,the KPIs are synthesized and visualized by the decision tree method and radar chart method,respectively,for monitoring the operation states(i.e,normal,alert,and emergency states)of power systems with a high proportion of RES.Numerical simulations are conducted in a revised New England 16-machine 68-bus power system and an actual CEPRI-RE power system in the northwest region of China with a high proportion of RES.The results show that the proposed KPI-based situational awareness method is able to accurately monitor the real-time state of power systems with a high proportion of RES,and can assist power dispatchers to make effective decisions.

关键词： High proportion of renewable energy sources(RES) key performance index(KPI) situational awareness state visualization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Geographic context-aware text mining:enhance social media message classification for situational awareness by integrating spatial and temporal features

引用

International Journal of Digital Earth 2021年第11期14卷 1721-1743页

作者： Christopher Scheele Manzhu Yu Qunying Huang Spatial Computing and Data Mining Lab Department of GeographyUniversity of Wisconsin-MadisonMadisonWIUSA Department of Geography Pennsylvania State UniversityUniversity ParkPAUSA

To find disaster relevant social media messages,current approaches utilize natural language processing methods or machine learning algorithms relying on text only,which have not been perfected due to the variability and uncertainty in the language used on social media and ignoring the geographic context of the messages when posted.Meanwhile,a disaster relevant social media message is highly sensitive to its posting location and time.However,limited studies exist to explore what spatial features and the extent of how temporal,and especially spatial features can aid text classification.This paper proposes a geographic context-aware text mining method to incorporate spatial and temporal information derived from social media and authoritative datasets,along with the text information,for classifying disaster relevant social media posts.This work designed and demonstrated how diverse types of spatial and temporal features can be derived from spatial data,and then used to enhance text mining.The deep learning-based method and commonly used machine learning algorithms,assessed the accuracy of the enhanced text-mining method.The performance results of different classification models generated by various combinations of textual,spatial,and temporal features indicate that additional spatial and temporal features help improve the overall accuracy of the classification.

关键词： Spatial data science spatially enabled text mining situational awareness deep learning GeoAI spatial features

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Recent Developments of FNET/GridEye—A situational awareness Tool for Smart Grid

引用

CSEE Journal of Power and Energy Systems 2016年第3期2卷 19-27页

作者： Yong Liu Wenxuan Yao Dao Zhou Ling Wu Shutang You Hesen Liu Lingwei Zhan Jiecheng Zhao Haoyang Lu Wei Gao Yilu Liu Department of Electrical Engineering and Computer Science the University of TennesseeKnoxvilleTN37996USA General Electric PhiladelphiaPA19113USA

Wide-area monitoring systems(WAMS)are becoming increasingly vital for enhancing power grid operators’situational awareness capabilities.As a pilot WAMS that was initially deployed in 2003,the frequency monitoring network FNET/GridEye uses GPS-time-synchronized monitors called frequency disturbance recorders(FDRs)to capture dynamic grid behaviors.Over the past ten years,a large number of publications related to FNET/GridEye have been reported.In this paper,the most recent developments of FNET/GridEye sensors,data centers,and data analytics applications are reviewed.These works demonstrate that FNET/GridEye will become a costeffective situational awareness tool for the future smart grid.

关键词： Distribution level frequency disturbance recorder(FDR) phasor estimation situational awareness synchrophasor wide-area monitoring system(WAMS)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Data-driven Distributed Analytics and Control Platform for Smart Grid situational awareness

引用

CSEE Journal of Power and Energy Systems 2016年第3期2卷 51-58页

作者： Christopher S.Saunders Guangyi Liu Yang Yu Wendong Zhu Global Energy Interconnection Research Institute North AmericaSanta ClaraCA95054USA Stanford University 450 Serra MallStanfordCA 94305USA

A conceptual,data-driven framework for organizing the data analytics and control functions in an electrical distribution network is proposed in this paper.The framework is built such that it tightly corresponds to the naturally existing physical hierarchy of typical radial distribution networks,allowing for an organized and highly-localized set of data storage and analytics processes,which in turn correspond well to likely control commands.By utilizing this structure,the computational entities in the framework are endowed with persistent local situational awareness.However,the framework also permits,through a series of tiered communications,the operation of a centralized authority for overall system observability and controllability.

关键词： Data analytics data warehousing distributed control distributed systems machine learning situational awareness

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Data Mining and Spatial Analysis of Social Media Text Based on the BERT-CNN Model to Achieve situational awareness: a Case Study of COVID-19

引用

Journal of Geodesy and Geoinformation Science 2022年第2期5卷 38-48页

作者： Jiawei ZHANG Hua QI Faculty of Geosciences and Environmental Engineering Southwest Jiaotong UniversityChengdu 611756China China Railway First Survey and Design Institute Group Co. Ltd.Xi’an 710043China

In response to the COVID-19,social media big data has played an important role in epidemic warning,tracking the source of infection,and public opinion monitoring,providing strong technical support for China’s epidemic prevention and control work.The paper used Sina Weibo posts related to COVID-19 hashtags as the data source,and built a BERT-CNN deep learning model to perform fine-grained and high-precision topic classificationon massive social media posts.Taking Shenzhen as a region of interest,we mined the“epidemic data bulletin”and“daily life impact”posts during the epidemic for spatial analysis.The results show that the confirmed communities and designated hospitals in Shenzhen as a whole present the characteristics of“sparse east and dense west”,and there is a strong positive spatial correlation between the number of confirmed cases and social media response.Specifically,Nanshan District,Futian District and Luohu District have more confirmed cases due to large population movements and dense transportation networks,and social media has responded more violently,and people’s lives have been greatly affected.However,Yantian District,Pingshan District and Dapeng New District showed opposite characteristics.The case study results further show that using deep learning methods to mine text information in social media is scientifically feasible for improving situational awareness and decision support during the COVID-19.

关键词： COVID-19 Sina Weibo BERT-CNN topic classification situational awareness

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Communication infrastructure for situational awareness enhancement in WAMS with optimal PMU placement

引用

Protection and Control of Modern Power Systems 2021年第1期6卷 124-135页

作者： Bhargav Appasani Amitkumar Vidyakant Jha Sunil Kumar Mishra Abu Nasar Ghazali School of Electronic Engineering KIIT UniversityBhubaneswar751024India

Real time monitoring and control of a modern power system has achieved significant development since the incorporation of the phasor measurement unit (PMU). Due to the time-synchronized capabilities, PMU has increased the situational awareness (SA) in a wide area measurement system (WAMS). Operator SA depends on the data pertaining to the real-time health of the grid. This is measured by PMUs and is accessible for data analytics at the data monitoring station referred to as the phasor data concentrator (PDC). Availability of the communication system and communication delay are two of the decisive factors governing the operator SA. This paper presents a pragmatic metric to assess the operator SA and ensure optimal locations for the placement of PMUs, PDC, and the underlying communication infrastructure to increase the efficacy of operator SA. The uses of digital elevation model (DEM) data of the surface topography to determine the optimal locations for the placement of the PMU, and the microwave technology for communicating synchrophasor data is another important contribution carried out in this paper. The practical power grid system of Bihar in India is considered as a case study, and extensive simulation results and analysis are presented for validating the proposed methodology.

关键词： situational awareness Phasor measurement unit Optimal placement Microwave communication

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Augmentation of situational awareness by fault passage indicators in distribution network incorporating network reconfiguration

引用

Protection and Control of Modern Power Systems 2019年第1期4卷 281-294页

作者： Tanmay Jain Debomita Ghosh Dusmanta Kumar Mohanta Department of Electrical and Electronics Engineering Birla Institute of TechnologyMesraRanchiIndia

Power distribution systems are profoundly inclined to disturbances like untimely switching of breakers & relays, sympathetic tripping, and uncertainties regarding fault location. Thus, system stability and reliability are greatly affected. In this way, situational awareness and system integrity are the crucial factors in developing power system security, as it empowers successful decision making & timely reaction by the operators to any disturbance and also maintaining continuity of power supply. This paper focuses on the enhancement of situational awareness by fault location through fault passage indicators (FPI) to improve nominal impedance-based methods in distribution networks. Also, the proposed method is validated by comparing it with Intelligent Electronic Device (IED) based fault location method. Further, simultaneous reconfiguration of the system is incorporated to maintain the continuity of supply. The analysis has been tested on IEEE 33 bus distribution system.

关键词： situational awareness Fault passage Indicator Tie switching Reconfiguration

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Synchrophasor-based real-time state estimation and situational awareness system for power system operation

引用

Journal of Modern Power Systems and Clean Energy 2016年第3期4卷 370-382页

作者： Heng CHEN Lin ZHANG Jianzhong MO Kenneth E.MARTIN Electric Power Group Pasadena CA 91101 USA

State estimation is a critical functionality of energy management system(EMS) to provide power system states in real-time operations. However, problems such as failure to converge, prone to failure during contingencies,and biased estimates while system is under stressed condition occur so that state estimation results may not be reliable.The unreliable results further impact downstream network and market applications, such as contingency analysis,voltage stability analysis, transient stability analysis, system alarming, and unit commitment. Thus, operators may lose the awareness of system condition in EMS. This paper proposes a fully independent and one-of-a-kind system by integrating linear state estimator into situational awareness applications based on real-time synchrophasor data. With guaranteed and accurate state estimation solution and advanced real-time data analytic and monitoring functionalities, the system is capable of assisting operators to assess and diagnose current system conditions for proactive and necessary corrective actions. The architecture, building components, and implementation of the proposed system are explored in detail. Two case studies with simulated data from the subsystems of Electric Reliability Council of Texas(ERCOT) and Los Angeles Department of Water and Power(LADWP) are presented. The test results show the effectiveness and reliability of the system, and its value for realtime power system operations.

关键词： Synchrophasor Linear state estimator situational awareness Power system operation

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

A Method of Data Preprocessing for Network Security situational awareness Based on Conditional Random Fields

A Method of Data Preprocessing for Network Security Situatio...

引用

2010 3rd International Conference on Computer and Electrical Engineering(ICCEE 2010)

作者： Aiping Lu Jianping Li School of Computer and Information Technology Northeast Petroleum University

Network Security situational awareness(NSSA) has been a hot research in the network security domain. Because of the large amount of Intrusion Detection System (IDS), We propose a new method of data preprocessing for NSSA based on conditional random fields(CRFs). It takes advantages of the CRFs models which can stitch to sequence data marking and add random attributes to deal with the amount of data from IDS, and provide the data for NSSA. It uses KDD Cup 1999 data sets as experimental data and comes to a conclusion that our proposed method is practicable, reliable and efficient.

关键词： network security situational awareness conditional Random Fields

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：