基于情境感知技术的智慧城市服务系统研究

随着城市规模越来越复杂,全国各级政府都在进行城市物联网和信息化建设,目前虽然搭建了互联骨干网和部署了大量的传感器,收集了众多的城市行为数据,但落后的信息管理模式难以体现信息价值,将信息体现在服务提升之中,造成信息资源的极大浪费。因此,将情境感知技术引入到智慧城市服务的应用之中,构建了一个基于情境感知的城市服务系统,并通过情境信息采集、情境信息推理和服务配置模型等关键技术,实时感知城市内的情境需求,从而提供智能化的业务服务组合。最后通过一社区智慧街道管理系统来验证本文所设计的系统效果。     

智慧黄河三角洲框架技术研究

为强化物联网、大数据、人工智能等信息技术与黄河三角洲业务的深度融合,深入分析黄河三角洲业务智慧应用和信息化建设需求,提出智慧黄河三角洲总体建设思路和分期建设目标.设计建立智慧黄河三角洲的总体框架,并从监测感知、信息汇集、智能服务与分析支撑、业务智能应用、网络安全5个方面详细设计技术参考模型,实现黄河三角洲生态环境保护、...     

高校一卡通数据监控平台建设与研究

高校一卡通是智慧校园建设工程的重要组成部分。一卡通集成了高校学生的信息服务、身份识别、金融服务、消费信息等重要数据。如何对一卡通数据监控是高校后勤部门进行科学化管理关注的重点。本文对高校一卡通数据监控平台进行研究,利用移动互联网技术实现对一卡通金融消费数据、身份识别数据、图书借阅数据进行实时监控和管理,为后勤部门日常管理提供数据支撑。一卡通数据监控平台利用Storm实时流处理计算框架对数据进行实时监控等。利用该平台能够有效提高后勤管理部门日常管理工作,同时作为数据共享中心为其他部门提供数据源。     

Simulation of art design of indoor furnishings based on FPGA and internet of things system

The Internet of Things (IoT) is fast becoming a business opportunity and home indoor design technology, and standards, mainly in wireless communication between everyday human life equipment and tools, in general, is known as the Internet of Things (IoT). The art design of products is behind the home indoor decor furnishing, and there is also service to appliances that connect to the entire home control system internet. This service allows users to decorate their home's indoor design while building an IoT and Field Programmable Gate Array (FPGA) environment. The smart home system has achieved great popularity in the past few decades because they improve the comfort and quality of life. Smartphones and microcontrollers using wireless communication technology, control, and integration of the characteristics of the control room furniture and Internet of Things (IOT) Internet Control smartphone applications intelligent home system, the sensor is triggered and intelligent Internet support. Cloud computing technology is embedded in the content of the smart home. A smart home is a platform that includes to build smart homes, automate, and provide an efficient, comfortable, safe, and convenient home environment. IoT, the detection information, a Radio Frequency Identification System (RFID), sensors, a global positioning system (GPS), the laser scanner, and other knowledge, such as infrared rays, is connected to the Internet.     

Automated classification of building information modeling (BIM) case studies by BIM use based on natural language processing (NLP) and unsupervised learning

This paper comparatively analyzes a method to automatically classify case studies of building information modeling (BIM) in construction projects by BIM use. It generally takes a minimum of thirty minutes to hours of collection and review and an average of four information sources to identify a project that has used BIM in a manner that is of interest. To automate and expedite the analysis tasks, this study deployed natural language processing (NLP) and commonly used unsupervised learning for text classification, namely latent semantic analysis (LSA) and latent Dirichlet allocation (LDA). The results were validated against one of representative supervised learning methods for text classification—support vector machine (SVM). When LSA and LDA detected phrases in a BIM case study that had higher similarity values to the definition of each BIM use than the threshold values, the system determined that the project had deployed BIM in the detected approach. For the classification of BIM use, the BIM uses specified by Pennsylvania State University were utilized. The approach was validated using 240 BIM case studies (512,892 features). When BIM uses were employed in a project, the project was labeled as “1”; when they were not, the project was labeled as “0.” The performance was analyzed by changing parameters: namely, document segmentation, feature weighting, dimensionality reduction coefficient (k-value), the number of topics, and the number of iterations. LDA yielded the highest F1 score, 80.75% on average. LDA and LSA yielded high recall and low precision in most cases. Conversely, SVM yielded high precision and low recall in most cases and fluctuations in F1 scores.     

基于物联网技术下的数字化油气田设计与实现

数字化油气田建设是我国油气企业发展的方向,本文介绍了一种基于物联网数字化油气田系统,通过传感器、射频识别（RFID）、通信网络、云计算等新技术建立一套覆盖油气生产、处理等全过程的物联网系统,实现生产数据自动采集、关键流程连锁控制,工艺流程可视化展示、生产过程实时监测的综合信息平台,实现人与物理系统的“智能”整合,实现工业化与信息化的融合。     

大型水利工程建设期智慧应用探索

针对大型水利工程建设过程中协调困难、现场安全与质量难以监管到位、进度因素复杂难以控制等难题,围绕“安全、质量、成本、进度”等工程控制管理体系的建立与落地,结合工程全生命周期管理要求,对工程建设期智慧应用进行总体规划,建立统一的数据、技术及应用标准规范,利用云计算、流程引擎、物联网、大数据、BIM和GIS等关键信息技术,通过搭建所有参建单位使用的统一协同平台,部署覆盖工地现场管控的自动感知与智能预警,汇聚数据资源池,可视化数据综合分析等,实现工程建设管理流程与信息技术的深度融合,为工程的建设管理提供管理手段与辅助决策支撑工具。目前已在珠江三角洲水资源配置工程建设管理中实际应用,可有效落实对工程建设管理各环节的精细化管理,保障工程建设管理的标准化、规范化,为行业大型水利工程提供智慧水利建设的典型解决方案和实践案例。     

A narrative-based reasoning with applications in decision support for social service organizations

Nowadays, there is an increasing demand for incorporating unstructured narratives in decision support for knowledge-intensive industries such as healthcare and social service organizations. However, most of the current research on decision support systems (DSS) mainly focused on dealing with structured data and are inadequate to dealing with unstructured narratives such as clients’ records and stories. This paper presents a narrative-based reasoning (NBR) algorithm which incorporates the technologies of knowledge-based system (KBS), computational linguistics, and artificial intelligence (AI) for automatic processing unstructured narratives and inferring useful knowledge for decision support. A NBR enabled DSS has been built and was evaluated through a series of experiments conducted in early intervention of mental health of a social service company in Hong Kong. The performance of NBR was measured based on recall and precision and encouraging results were obtained. High recall and precision are achieved in the reasoning of unstructured data, and high recall is achieved for the association analysis. The results show that it is possible for inferring recommendations for problem solving from unstructured narratives automatically. Based on the approach, it helps to support knowledge workers with reliable suggestions on decision making so as to increase the quality of their solutions.     

智慧档案馆背景下安徽省气象档案业务系统

为满足气象档案的管理和服务需求,设计开发了安徽省气象档案业务系统并投入业务使用.该文描述了智慧档案馆建设背景下系统基本设计思路、功能结构、基础平台体系结构和信息流程.系统由数据收集、档案整理、档案保管、档案利用和档案鉴定5个业务子系统组成,采取的主要关键技术包括气象档案标准化体系、气象档案元数据、知识图谱和物联网技术.系统的设计和实现亦在为行业档案业务系统的开发和建设提供一种借鉴.     

A collaborative food safety service agent architecture with alerts and trust

With the recent advances in Internet and mobile technologies, there are increasing demands for ubiquitous access to food safety information for service integration and gathering first hand information. However, due to disparate food trading information among different food suppliers throughout the food supply chain such as food importers, food wholesalers, food retailers, it is still difficult for citizens to use them effectively during their marketplace shopping. To overcome this problem, we propose a Collaborative Food Safety Agent System (CFSAS) based on a scalable, flexible, and intelligent Multi-Agent Information System (MAIS) architecture for proactive aids and trust-based decision support on food purchasing to citizens. We formulate our MAIS architecture for CFSAS further with agent clusters based on a case study of the Center for Food Safety (CFS) in Hong Kong. Agent clusters may comprise several types of agents to achieve the goals involved in the major processes of a food safety mechanism. We show how agents help citizens better plan, understand, and specify their preferences collaboratively with the CFSAS. We further illustrate how this can be implemented with Web service technologies to integrate disparate food information resources along the food supply chain.     

基于WebGIS的水文基本建设项目管理平台设计与实现

针对水文基本建设项目空间跨度大、设备占比高、行业特殊性强的特点,利用 WebGIS 和物联网等技术,开发基于 WebGIS 的水文基本建设项目管理平台。在分析设计理念的基础上,采用 B/S 模式,设计包含采集传输层、数据管理层、应用支撑层、业务服务层 4 层内容的总体架构,通过信息展示、跟踪管理、信息查询和系统管理等服务功能,实现从规划设计、项目实施、工程验收到运行管理的全生命周期智能化管理,突出水文建设项目的行业特点,满足智能化管理的要求,实现水文建设信息的实时共享。平台在工程进度实时统计分析、仪器设备全过程管理及档案资料规范化管理等应用场景上取得明显效果,可有效提升水文基本建设项目的管理效率和信息化水平。     

基于供水全生命周期管控的智慧水务平台研建

为解决供水全流程、各环节的有效管控,确保城乡居民用水安全,应用新科技和互联网思维促进和带动水务现代化,提升水务行业社会管理和公共服务能力,提出基于供水全生命周期管控的智慧水务平台解决方案。该平台充分利用物联网、大数据、移动互联网等新技术,汇聚生产、输配、运营、管理各类关键数据,进行多源信息融合处理、存储、分析,实现水源监管、生产管理、管网监控、营收管理、河湖长制、智慧应用等各类业务的供水全生命周期智慧化管控,平台的投入使用提高水务公司日常的运营效率,有效降低供水管网爆管率及漏损率,提升水务公司公共服务能力和水平,增强供水各环节多源异构数据的融合共享及智慧应用。     

云计算和物联网在智慧校园系统构建中的应用

智慧校园是信息技术发展过程中出现的新理念,是云计算、物联网以及其它技术相融合的具体实践、是学校培养人才、提高管理与优化服务的创新。云计算是利用虚拟化技术对各种资源进行深度集成整合,提供超级计算和存储能力,它具有三种服务形式：基础设施即服务（IaaS）、平台即服务（PaaS）、软件即服务（SaaS）。物联网技术是传感网、因特网与移动通信网三网高效融合的产物,核心是物联感知系统,它划分为感知层、网络层和应用层。基于云计算和物联网技术的智慧校园架构由统一门户系统、服务支持平台、数据信息融合平台、网络融合基础平台以及信息标准体系和安全维护体系构成。     

基于BIM+Cesium三维可视化校园系统的设计与实现

构建具备“三维可视化”、“信息化”、“数字化”特征的校园平台是智慧校园建设的基础点,现有校园平台大多使用传统建模工具融合C/S架构的GIS平台搭建,缺乏模型信息统一整合、趋于平面化且可视化水平较低、不具备跨平台等问题;BIM技术因其数据整合模式有效提高了建筑业信息化水平,文章结合BIM技术二三维信息整合及WebGIS-Cesium框架免插件、可跨平台的优点,以本校作为建模原型借助Revit软件建模及二次开发、文件流等技术,基于B/S架构开发兼备可视化、信息化及跨平台能力的校园平台,实现了地图显示模块、建筑物信息查询模块、空间GIS模块、地物对应查询模块及其子功能;通过测试,设计的系统工作可靠可行,满足校园平台需求。     

智慧校园办公云平台建设策略

在信息化技术的快速发展中,其中物联网和云技术为主要的智慧校园建设更为全面。高职院校建立办公云平台是适应教育信息化需求的产物,建设其办公云平台更是高职院校提升自身管理服务水平的有效措施,是基于智慧校园背景下符合当前信息技术发展的必然趋势。本文基于OA办公软件便捷性、操作性等特点进行介绍出发,立足于智慧校园背景从信息平台进行构建,从而实现提高办公效率与节约学校资源成本、规范管理、提高工作效能、优化服务业务流程、转变传统工作观念等方面进行构建办公云平台,从而使高职院校办公云平台在数字化信息化智慧化的未来发展趋势中,立足于自身平台构建。     

移动管理软件在工程建设监理中的创新应用实践

随着信息时代的发展,信息技术不断创新着工程项目建设中的管理模式,让项目管理更加便捷和高效。移动管理软件在工程建设监理的应用是在移动平台上实现处理监理业务管理中与现场部分紧密相关的重要工作,拓展监理业务管理信息的数据采集及填报方式,提高工程项目过程管控能力及现场办公效率,实现基建工程监理业务管理信息由项目部驻地向施工现场的管理延伸。现场监理人员可使用该软件对项目中产生的监理业务数据进行记录,如上传现场拍摄的安全、质量数码照片,对现场发现的问题进行记录,填写监理日志等。通过互联网技术与智能终端设备实现监理业务的移动办理,提高监理人员的办公效率与服务水平。     

物联网和服务架构的食品安全信息平台模型

针对食品供应链管理和质量安全的跟踪和追溯需求,利用物联网技术,参照EPC标准,提出了一种基于物联网和服务架构的食品安全信息平台模型,描述了RFID技术在Internet基础上实现食品的全程跟踪管理的E-R模型、网络架构、技术框架和功能模块,可通过Web Service和智能手机等多种方式查询追溯详细的电子信息.     

多传感器组合的移动车载数据采集系统研究

多传感器数据融合作为一门新兴前沿技术,已广泛应用于许多研究领域。三维信息快速采集是真实建模与三维虚拟现实的关键。提出了一种基于多传感器融合的车载移动式三维数据快速采集系统,集成了激光扫描仪、线/面阵CCD相机及GPS与IMU等多种传感器,以完成城市路面街道和建(构)筑物的三维数据自动采集。重点探讨了定位定姿方案设计及其实现,将GPS和IMU数据通过卡尔曼(Kalm an)滤波进行融合,可推测出整个系统及各传感器的位置和最佳姿态估计,以快速获取城市目标的地理坐标和三维建模信息,重建城市路面街道的三维真实场景。     

Merging BIM and GIS using ontologies application to urban facility management in ACTIVe3D

This article presents the research work done in order to reduce the gap of heterogeneity between Geographic Information System and Building Information Models. The goal is to extend a platform dedicated to facility management called ACTIVe3D. We want to enlarge its scope to take into account the management of urban elements contained in the building environment, as well as other buildings. The particularity of the platform is that data can be accessed either by a semantic view or through a 3D interface. The SIGA3D project describes a set of processes that aims, for all the stakeholders of urban projects, to manage pieces of information through all the lifecycle of construction projects. To solve the heterogeneity problem between BIM and GIS, we developed a semantic extension to the BIM called UIM (Urban Information Modeling). This extension defines spatial, temporal and multi-representation concepts to build an extensible ontology. The knowledge database can be populated with information coming from standards like IFC and CityGML. This information system has been adapted and implemented into the existing platform and is today fully operational and used by thousands of users.     

智慧城市系统协同数据共享模式研究

智慧城市的重要任务是实现城市中信息系统协同工作、数据信息共享和开放应用。目前,智慧城市协同的方案有集中数据中心、开放平台、物联网标识服务等。本文总结了这几种模式,并比较了其各自的优势和问题,探究了物联网标识服务作为基础设施结合其他方案更能保证智慧城市协同共享的效果。