An Intelligent Health Monitoring System for Buildings Based on IoT Technology

Feiyue Zhu, Yuli He, Haifeng Qiu
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Abstract

This paper presents the design and development of an intelligent health monitoring system for buildings, utilizing IoT (Internet of Things) technology. In addressing a prevailing issue in current building stress monitoring methods, which often overlooks point cloud data preprocessing, we propose a method that focuses on monitoring vertical stress points in concrete structures and aligning the collected data with finite element analysis models. Subsequently, harnessing the potential of IoT technology, we design a Zigbee-based scheme for collecting environmental data within the building. This scheme incorporates a diverse array of sensors and encompasses the construction of a comprehensive software and hardware system alongside a monitoring platform. The resulting system is adept at real-time monitoring and data collection across various facets of the building, ensuring alignment with actual conditions. It demonstrates significant practical value, offering user-friendly operation, robust stability, and excellent performance in the realm of building monitoring.
基于物联网技术的楼宇智能健康监测系统
本文介绍了利用物联网技术设计和开发的建筑物智能健康监测系统。针对当前建筑应力监测方法中普遍存在的问题,即往往忽视点云数据预处理,我们提出了一种方法,重点监测混凝土结构中的垂直应力点,并将收集到的数据与有限元分析模型进行比对。随后,我们利用物联网技术的潜力,设计了一种基于 Zigbee 的方案,用于收集建筑物内的环境数据。该方案结合了各种传感器,并包含一个全面的软件和硬件系统以及一个监控平台。由此产生的系统能够对建筑物的各个方面进行实时监测和数据收集,确保与实际情况保持一致。它在楼宇监控领域提供了用户友好型操作、强大的稳定性和卓越的性能,体现了重要的实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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