智慧大学校园的实现:愿景、架构与实现

Thanchanok Sutjarittham, H. Gharakheili, S. Kanhere, V. Sivaraman
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引用次数: 21

摘要

互联网连接设备的革命,如摄像头、占用探测器和空气质量监测器,统称为物联网(IoT),正在实现从家庭、办公室到校园和城市的智能环境。在本文中,我们描述了我们在拥有超过50,000名学生的大型大学中实现智能校园的旅程(诚然仍处于早期阶段);10000名员工;还有将近100英亩的土地。我们首先勾勒出智慧校园的愿景,重点关注物联网技术如何使各种利益相关者受益,包括学生、员工和物业经理。我们的第二个贡献概述了智能校园体系结构的系统方法,该方法横向分离了传感、数据存储和分析层。我们表明,我们的方法可以防止垂直锁定任何物联网供应商,扩展到任意数量和类型的传感器,并允许跨数据孤岛进行分析。最后,我们描述了我们的试点物联网部署,涉及我们校园的四个用例,特别是课堂出勤、学生学习空间使用、停车场占用和公交车站等待时间。从这些部署中获得的数据和初步见解为利益相关者提供了可量化的好处,例如改进的空间使用和增强的用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Realizing a Smart University Campus: Vision, Architecture, and Implementation
The revolution in Internet-connected devices like cameras, occupancy detectors and air quality monitors, collectively dubbed as the Internet-of-Things (IoT), is enabling the realization of smart environments ranging from homes and offices to campuses and cities. In this paper, we describe our journey (admittedly still in its early days) towards the realization of a smart campus in a large University with over 50,000 students; 10,000 staff; and nearly 100 acres of real-estate. We begin by charting out the vision of the smart campus, focusing on how IoT technologies can benefit various stakeholders including students, staff, and estate managers. Our second contribution outlines a systematic approach to the architecture of a smart-campus, that horizontally separates the sensing, data storage, and analytics layers. We show that our approach prevents vertical lock-in to any IoT vendor, scales to arbitrary number and type of sensors, and permits analytics across data silos. Lastly, we describe our pilot IoT deployments pertaining to four use-cases on our campus, specifically classroom attendance, student study space usage, parking lot occupancy, and bus-stop wait-times. The data and preliminary insights obtained from these deployments provide quantifiable benefits to stakeholders, such as improved space usage and enhanced user experience.
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