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作 者:杨翠红 Yang Cuihong(Juancheng County Comprehensive Administrative Law Enforcement Brigade,Heze 274600,China)
机构地区:[1]鄄城县综合行政执法大队,山东菏泽274600
出 处:《环境科学与管理》2024年第9期147-152,共6页Environmental Science and Management
摘 要:建筑行业环境污染问题较为严重,尤其是PM_(2.5)污染。绿色建筑技术的应用虽然能够有效地降低PM_(2.5)浓度,但仍然会对环境与人体造成危害,故需要进行精准的监测与治理,提出基于物联网技术的绿色建筑施工场地PM_(2.5)污染监测方法研究。深入分析绿色建筑施工场地PM_(2.5)污染浓度的影响因素,基于物联网技术构建绿色建筑施工场地PM_(2.5)污染监测网络模型,获取初始PM_(2.5)污染监测数据,对监测数据进行清洗、整理与校准预处理,确定每个传感器节点的权重系数,通过加权平均方式计算绿色建筑施工场地的PM_(2.5)污染浓度,从而实现了绿色建筑施工场地PM_(2.5)污染的有效监测。实验结果显示:在不同湿度条件下,应用提出方法获得的PM_(2.5)污染监测结果与实际结果保持一致,充分证实了提出方法的有效性。The environmental pollution in the construction industry is relatively serious,especially PM_(2.5)pollution.Although the application of green building technology can effectively reduce the concentration of PM_(2.5),it still poses harm to the environment and human health.Therefore,it is necessary to conduct precise monitoring and treatment of PM_(2.5)pollution in green building construction sites,and propose a research method based on Internet of Things technology for PM_(2.5)pollution monitoring.The paper analyzes the influencing factors of PM_(2.5)pollution concentration in green building construction sites.A PM_(2.5)pollution monitoring network model is constructed based on Internet of Things technology to obtain initial PM_(2.5)pollution monitoring data,clean,organize,and calibrate the monitoring data,determine the weight coefficient of each sensor node,and calculate the PM_(2.5)pollution concentration in green building construction sites through weighted average method,Thus,effective monitoring of PM_(2.5)pollution in green building construction sites has been achieved.The experimental results show that under different humidity conditions,the PM_(2.5)pollution monitoring results obtained by the proposed method are consistent with the actual results,fully confirming the effectiveness of the proposed method.
关 键 词:PM_(2.5) 绿色建筑 污染监测 物联网技术 施工场地
分 类 号:X830.2[环境科学与工程—环境工程]
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