外文翻译 - 大学智能大厦的系统架构.doc

1、外文文献及译文文献、资料题目：System Architecture for a Smart University Building文献、资料来源：文献、资料发表（出版）日期：院 （部）： 专 业： 班 级： 姓 名： 学 号： 指导教师： 页眉：黑体，5号，居中翻译日期：外文文献：System Architecture for a Smart University BuildingAbstract. This paper presents a system architecture that provides smart building monitoring and management.

2、 The proposed solution integrates heterogeneous geographically disparate sensor networks and devices, and enables optimal operations of the building while reducing its energy footprint. The platform is based on Semantic Web Services composition using AI Planning, that integrates and manages WiFi, RF

3、iD and ZigBee networks providing connectivity to the devices. The goal is to develop a model that follows the latest guidelines in the area of Information Communication Technologies (ICT) for sustainable growth,energy efficiency and better quality of life. Keywords: Sensor Networks, Embedded Systems

4、, Smart Building, Semantic Web Service Composition, Energy Efficiency.1 IntroductionInformation and Communication Technologies (ICT) enable the operation and integration of smart metering devices in complex environments in the form of sensor networks and embedded systems. Applications are met in var

5、ious domains that target intelligent management, monitoring and improvement of QoL. Characteristic examples are environmental monitoring 1, smart building scenarios 2 and Telemedicine. In this paper, an intelligent platform is proposed, that integrates sensors within a university building and campus

6、 based on Web Services middleware. The aim is to provide automation of common processes, reduce the energy footprint and provide control of devices in a remote manner. The proposed platform, named Smart International Hellenic University1, incorporates the Intelligent Building concept 2 and the Smart

7、 Building initiatives that target energy footprint minimization, following guidelines of various FP7 projects, such as Dehems 3 and Hydra 4. Dehems presents a system architecture for energy efficiency monitoring in different households, mainly focusing on white appliances. Hydra proposes a middlewar

8、e to expose various devices through Semantic Web Services. Our approach is also based on a Semantic Web Service middleware, which is further enriched with dynamic composition capabilities, proposes specific applications for a university building and facilitates educational processes. The rest of the

9、 paper is organized as follows: In the first section of the paper theSmart University concept is presented. This is followed by a review of the available sensor network technologies. Finally, the integration platform is presented with a brief explanation of the systems components.2 Smart Building Ov

10、erviewThe Smart Building concept enables remote monitoring and management of processes while providing energy efficiency. The objective of the proposed platform is to design, develop and evaluate a smart building in the International Hellenic University (IHU) and deliver the following services to th

11、e end users:i) Power Consumption MonitoringAn essential step in reducing the energy consumption in a building is the implementation of a measuring and monitoring system. To support such functionality, we intend to monitor the individual electrical devices and appliances of the building, allowing the

12、 users to understand/determine further how the energy consumption is distributed among the various IHU facilities. In addition, the system will enable real time monitoring of the Universitys data center and provide on line information concerning the Data Center infrastructure Efficiency index (DCiE)

13、 and the Data Center energy Productivity (DCeP), as defined by the green grid association and in 5. Users will be able to convey their information in multiple useful formats, both in past time and inreal time, and in different spatial granularity scales, ranging from department-wide, auditorium-wide

14、 to appliance-specific consumption characteristics.ii) Energy Efficiency savingsAn interactive platform for controlling the energy consumption of nodes is also considered. Through consumption visualization, users are empowered to take energy saving actions based on the advanced statistics provided b

15、y the systems remote monitoring and optimization capabilities and a simple look at the devices status.iii) Building AutomationIn the smart building environment, whose architecture is presented , sensors and actuators are deployed spatially in those rooms of the building where monitoring and manageme

16、nt is targeted. A number of WiFi/ZigBee gateways serve as both sensors sinks and interoperability agents for the various deployed sensor networks.All building-wide monitoring and controlling capabilities are published in the form of modular web services. The user can access content-based information of the buildings parameters based on ZigBee, WiFi and RFiD