Neis Pascal, Warch Dominik, Hoppe Max
School of Technology, Department of Geoinformatics and Surveying, Mainz University of Applied Sciences, 55128 Mainz, Germany.
Sensors (Basel). 2023 Oct 23;23(20):8652. doi: 10.3390/s23208652.
Urbanization has led to the need for the intelligent management of various urban challenges, from traffic to energy. In this context, smart campuses and buildings emerge as microcosms of smart cities, offering both opportunities and challenges in technology and communication integration. This study sets itself apart by prioritizing sustainable, adaptable, and reusable solutions through an open-source framework and open data protocols. We utilized the Internet of Things (IoT) and cost-effective sensors to capture real-time data for three different use cases: real-time monitoring of visitor counts, room and parking occupancy, and the collection of environment and climate data. Our analysis revealed that the implementation of the utilized hardware and software combination significantly improved the implementation of open smart campus systems, providing a usable visitor information system for students. Moreover, our focus on data privacy and technological versatility offers valuable insights into real-world applicability and limitations. This study contributes a novel framework that not only drives technological advancements but is also readily adaptable, improvable, and reusable across diverse settings, thereby showcasing the untapped potential of smart, sustainable systems.
城市化引发了对各种城市挑战进行智能管理的需求，从交通到能源。在此背景下，智能校园和建筑作为智慧城市的缩影出现，在技术和通信整合方面既带来了机遇，也带来了挑战。本研究通过开源框架和开放数据协议，将可持续、适应性强和可重复使用的解决方案作为优先事项，从而脱颖而出。我们利用物联网（IoT）和经济高效的传感器，针对三种不同的用例捕获实时数据：访客数量的实时监测、房间和停车位占用情况以及环境和气候数据的收集。我们的分析表明，所采用的硬件和软件组合的实施显著改善了开放式智能校园系统的实施，为学生提供了一个可用的访客信息系统。此外，我们对数据隐私和技术通用性的关注为实际应用和局限性提供了有价值的见解。本研究贡献了一个新颖的框架，该框架不仅推动技术进步，而且在不同环境中易于适应、改进和重复使用，从而展示了智能、可持续系统尚未开发的潜力。
