Monitoring the indoor environment of historic buildings helps to identify potential risks, provide guidelines for improving regular maintenance, and preserve cultural artifacts. However, most of the existing monitoring systems proposed for historic buildings are not for general digitization purposes that provide data for smart services employing, e.g., artificial intelligence with machine learning. In addition, considering that preserving historic buildings is a long-term process that demands preventive maintenance, a monitoring system requires stable and scalable storage and computing resources. In this paper, a digitalization framework is proposed for smart preservation of historic buildings. A sensing system following the architecture of this framework is implemented by integrating various advanced digitalization techniques, such as Internet of Things, Edge computing, and Cloud computing. The sensing system realizes remote data collection, enables viewing real-time and historical data, and provides the capability for performing real-time analysis to achieve preventive maintenance of historic buildings in future research. Field testing results show that the implemented sensing system has a 2% end-to-end loss rate for collecting data samples and the loss rate can be decreased to 0.3%. The low loss rate indicates that the proposed sensing system has high stability and meets the requirements for long-term monitoring of historic buildings.

中文翻译：

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基于公有云的古建筑室内环境监测系统

监测历史建筑的室内环境有助于识别潜在风险，为改善定期维护提供指导，并保护文物。然而，为历史建筑提议的大多数现有监控系统并非用于为采用例如具有机器学习的人工智能的智能服务提供数据的一般数字化目的。此外，考虑到保护历史建筑是一个需要预防性维护的长期过程，监控系统需要稳定且可扩展的存储和计算资源。在本文中，提出了一种用于历史建筑智能保护的数字化框架。通过集成各种先进的数字化技术，实现了遵循该框架架构的传感系统，例如物联网、边缘计算和云计算。该传感系统实现了远程数据采集，能够查看实时数据和历史数据，并提供实时分析能力，以实现未来研究中历史建筑的预防性维护。现场测试结果表明，所实现的传感系统采集数据样本的端到端丢失率为2%，丢失率可降低至0.3%。低损耗率表明所提出的传感系统具有较高的稳定性，满足历史建筑长期监测的要求。并提供进行实时分析的能力，以实现未来研究中历史建筑的预防性维护。现场测试结果表明，所实现的传感系统采集数据样本的端到端丢失率为2%，丢失率可降低至0.3%。低损耗率表明所提出的传感系统具有较高的稳定性，满足历史建筑长期监测的要求。并提供进行实时分析的能力，以实现未来研究中历史建筑的预防性维护。现场测试结果表明，所实现的传感系统采集数据样本的端到端丢失率为2%，丢失率可降低至0.3%。低损耗率表明所提出的传感系统具有较高的稳定性，满足历史建筑长期监测的要求。