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.

中文翻译：

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智慧空间的物联网：大学校园案例研究。

技术和数据分析的进步为开发可帮助居民的智能环境（所谓的智能环境或智能空间）提供了丰富的机会。通过技术，传感器，用户界面和各种应用程序的增强，此类智能空间能够识别用户和他们所处的状况，例如通过提供某些服务或对环境本身进行更改来做出相应的反应。因此，智能空间解决方案正逐渐进入不同的应用领域，每个领域都具有相应的特定特征。在本文中，我们讨论了我们的经验，并探讨了在大学校园中进行长期的现实世界物联网（IoT）部署的挑战。我们演示了技术实施和数据质量问题。我们进行了一些研究，从数据分析到与空间的交互，利用发达的基础设施，我们还将分享我们为教育目的打开数据并讨论其结果的行动。通过本文，我们旨在分享我们的经验，并提供在大学校园中构建开放的，多功能的，公共使用的智能空间时的实际经验教训。