Center for Ubiquitous Computing, University of Oulu; P.O.Box 4500, 90014 Oulu, Finland.
Biomimetics and Intelligent Systems Group, University of Oulu; P.O.Box 4500, 90014 Oulu, Finland.
Sensors (Basel). 2020 Jul 2;20(13):3716. doi: 10.3390/s20133716.
Advances in technology and data analysis provide rich opportunities for developing intelligent environments assisting their inhabitants, so-called smart environments or smart spaces. Enhanced with technology, sensors, user interfaces, and various applications, such smart spaces are capable of recognizing users and situations they are in, react accordingly, e.g., by providing certain services or changes to the environment itself. Therefore, smart space solutions are gradually coming to different application domains, each with corresponding specific characteristics. In this article, we discuss our experiences and explore the challenges of a long-term real-world Internet of Things (IoT) deployment at a University campus. We demonstrate the technical implementation and data quality issues. We conduct several studies, from data analysis to interaction with space, utilizing the developed infrastructure, and we also share our actions to open the data for education purposes and discuss their outcomes. With this article, we aim to share our experience and provide real-world lessons learned when building an open, multipurpose, publicly used smart space at a University campus.
技术和数据分析的进步为开发智能环境提供了丰富的机会，这些智能环境可以帮助居民，即所谓的智能环境或智能空间。通过技术、传感器、用户界面和各种应用程序的增强，这些智能空间能够识别用户及其所处的情况，并做出相应的反应，例如提供某些服务或对环境本身进行改变。因此，智能空间解决方案逐渐应用于不同的应用领域，每个领域都有相应的特定特点。在本文中，我们将讨论我们的经验，并探讨在大学校园进行长期物联网（IoT）部署的挑战。我们展示了技术实现和数据质量问题。我们进行了多项研究，从数据分析到与空间的交互，利用开发的基础设施，并分享了我们为教育目的开放数据的行动以及讨论其结果。通过本文，我们旨在分享在大学校园建立开放、多用途、公共使用的智能空间时的经验和实际教训。
