基于大数据技术的室内环境污染物检测系统研究
Indoor Environmental Pollutant Detection System of Civil Building Engineering Based on Big Data Technology
宋红瑞1
作者信息
- 1. 甘肃第四建设集团有限责任公司,甘肃 兰州 730060
- 折叠
摘要
文章旨在探究大数据技术在民用建筑室内环境污染物检测中的应用及其效能.通过传感器技术收集实时数据,结合大数据分析,本研究成功识别了室内空气中的污染物种类和浓度.实证案例显示,该技术能够有效地检测室内空气质量,及时识别和量化室内污染物;预测模型和数据分析揭示了污染物浓度与日常活动间的关联,提供精确的室内空气质量的检测和改善策略.该研究为室内空气质量管理提供了高效、准确的技术解决方案,有助于提升民用建筑的健康水平.
Abstract
This article aims to explore the application and effectiveness of big data technology in the detection of pollutants in the indoor environment of civil buildings.Utilizing sensor technology to collect real-time data and integrating it with big data analysis,this study successfully identified the types and concentrations of pollutants in indoor air.Empirical case studies demonstrate that this technology can effectively detect indoor air quality,promptly identifying and quantifying indoor pollutants.Predictive models and data analysis reveal the correlation between pollutant concentrations and daily activities,providing precise strategies for the detection and improvement of indoor air quality.This research offers an efficient and accurate technological solution for indoor air quality management,contributing to the enhancement of the health level in civil buildings.
关键词
大数据技术/民用建筑室内环境/污染物检测Key words
big data technology/civil building indoor environment/pollutant detection引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据