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Municipal engineering expansion intensifies dust pollution challenges. This study implements an IoT-enabled smart dust suppression system in Guangzhou's pipeline project, achieving transformative outcomes: PM₁₀ reduced from 204 ± 5.3 μg/m3 (manual) to 110 ± 4 μg/m3 (↓46.1, 26.7% below 150 μg/m3 national limit); PM₂.₅ decreased from 111 to 57.42 μg/m3 (↓48.3, 23.4% under 75 μg/m3 standard) with > 90% citizen complaint reduction. Data-driven closed-loop control slashes ineffective spraying by 68%. Future extensions integrate BIM/digital twins for waste/noise management, establishing a quantifiable smart green construction paradigm for high-density cities.

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Precision Dust Control and Water Conservation: IoT-Enabled Smart Management for Sustainable Municipal Construction

  • 会议论文

  • 发表日期：

    2026年

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  • Jiangjiang Liu,
  • Yuliang Qi,
  • Zhenhua Guo,
  • Haofan Chen,
  • Lirong Zhang,
  • Jian Liu,
  • Keke Huang,
  • Ming Zhou

摘要

Municipal engineering expansion intensifies dust pollution challenges. This study implements an IoT-enabled smart dust suppression system in Guangzhou's pipeline project, achieving transformative outcomes: PM₁₀ reduced from 204 ± 5.3 μg/m3 (manual) to 110 ± 4 μg/m3 (↓46.1, 26.7% below 150 μg/m3 national limit); PM₂.₅ decreased from 111 to 57.42 μg/m3 (↓48.3, 23.4% under 75 μg/m3 standard) with > 90% citizen complaint reduction. Data-driven closed-loop control slashes ineffective spraying by 68%. Future extensions integrate BIM/digital twins for waste/noise management, establishing a quantifiable smart green construction paradigm for high-density cities.