低成本传感器的测试和评估,用于开发基于物联网的开放智能校园系统
Pascal Neis1, Dominik Warch1, Max Hoppe1
1School of Technology, Department of Geoinformatics and Surveying, Mainz University of Applied Sciences, 55128 Mainz, Germany.
Sensors (Basel, Switzerland)
|October 28, 2023
概括
本研究介绍了使用物联网 (IoT) 传感器的智能校园系统的开源框架. 该框架为实时数据收集和管理提供了可持续,可适应和可重复使用的解决方案.
科学领域:
- 计算机科学 计算机科学
- 城市规划 城市规划
- 环境科学 环境科学
背景情况:
- 城市化需要对城市挑战进行智能管理,智能校园可以作为智能城市的模型.
- 在智能校园中整合技术和通信带来了独特的机遇和挑战.
- 现有的智能城市解决方案往往缺乏可持续性,适应性和可重复使用性.
研究的目的:
- 为智能校园系统开发和评估一个可持续,可适应和可重复使用的开源框架.
- 展示物联网 (IoT) 和经济高效的传感器的整合,以实时收集数据.
- 在智能校园实施中解决数据隐私和技术多功能性.
主要方法:
- 使用开源框架和开放数据协议来开发系统.
- 采用物联网 (IoT) 技术,采用具有成本效益的传感器来获取数据.
- 实施了三个用例:访问者数量监测,房间/停车位占用率和环境数据收集.
主要成果:
- 成功实施了一个开放的智能校园系统,提高了学生的可用性.
- 在实施开放式智能校园系统方面取得了显著的改进.
- 验证了框架在现实应用中的有效性,突出了数据隐私和多功能性.
结论:
- 开发的框架为智能校园系统提供了一种新,可适应和可重复使用的方法.
- 该研究展示了智能,可持续系统在应对城市挑战方面的潜力.
- 调查结果为智能校园技术的实际应用和局限性提供了宝贵的见解.
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