相关实验视频
Updated: Sep 16, 2025

Design and Optimization Strategies of a High-Performance Vented Box
Published on: June 9, 2023
在多个单元住宅大楼的压力通道通风系统性能数据驱动的建模
Helen Stopps1, Cara H Lozinsky2, Marianne F Touchie3,4
1Department of Architectural Science, Toronto Metropolitan University, Toronto, ON, Canada.
这项研究开发了一种XGBoost模型,用于预测带有压力通道 (PC) 通风系统的多单元住宅建筑中的压力差异. 该模型有助于确定影响这些建筑物中的通风和污染物转移的条件.
科学领域:
- 建筑科学 建筑科学
- 暖通空调系统工程 HVAC系统工程
- 环境工程 环境工程
背景情况:
- 压力通道 (PC) 通风在多个单元住宅建筑 (MURB) 中常见,用于空气供应和污染物控制.
- 电脑系统中的通风依赖于压力差异,这些差异受到乘客行为,天气和建筑操作的影响.
- 了解这些压力动态对于确保充足的通风和防止污染物转移至关重要.
研究的目的:
- 用PC系统开发和验证XGBoost回归模型,用于预测PC系统在MURB中的区域间压力差异.
- 评估模型作为评估通风性能的诊断工具的实用性.
- 调查影响PC系统通风和污染物转移的因素.
主要方法:
- 从加拿大多伦多的17层MURB收集了6个月的现场数据.
- 测量走廊到单位和外部到单位的压力,空气流量,温度和湿度.
- 开发了一个XGBoost回归模型,包括特征选择和超参数调整.
主要成果:
- XGBoost模型准确地预测了PC系统中的区域间压力差异.
- 该研究确定了影响建筑压力差异的关键变量.
- 该模型展示了其作为通风系统性能诊断工具的潜力.
结论:
- 开发的XGBoost模型为了解和改进PC系统的MURB中的通风提供了有价值的工具.
- 准确预测压力差异是优化通风和减轻污染物风险的关键.
- 该模型可以作为通风策略的虚拟测试环境.
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