时装中的建筑传感器覆盖范围:平衡成本,覆盖范围和舒适度
Mahdi Ahmadnia1, Mojtaba Maghrebi2, Arezoo Shirazi3
1Department of Applied Mathematics, Faculty of Mathematics, Ferdowsi University of Mashhad, Mashhad, Islamic Republic of Iran.
Scientific reports
|October 23, 2025
概括
本研究引入了新的整数线性编程 (ILP) 模型,以优化空气质量传感器的放置. 这种方法平衡了成本和覆盖范围,增强了建筑控制系统和居住者的舒适性.
科学领域:
- 建筑科学 建筑科学
- 环境监测 环境监测
- 运营研究 运营研究
背景情况:
- 空气质量传感器的布局和性能对于建筑物控制和乘客舒适性至关重要.
- 之前的研究主要集中在传感器的位置和密度上,忽视了准确性,多功能性和成本效益.
研究的目的:
- 开发优化的传感器放置策略,解决成本,覆盖范围和准确性问题.
- 为了平衡成本效益与空气质量监测的最大覆盖范围.
- 整合测量精度以提高能源效率和乘客满意度.
主要方法:
- 为传感器放置优化提出了两个整数线性编程 (ILP) 模型:一个用于成本优化,另一个用于覆盖率最大化.
- 采用领导者-追随者 (双层) 方法来平衡成本和覆盖范围.
- 将不同位置的测量精度纳入优化框架.
主要成果:
- 集成的ILP和Leader-Follower框架有效地减少了计算复杂性和运行时间.
- 该方法可以快速识别最佳传感器配置.
- 在传感器放置方面实现了可靠的覆盖范围和成本效益.
结论:
- 建议的优化方法有效地解决了先前研究的局限性,考虑了成本,覆盖范围和准确性.
- 这种方法为优化建筑物中空气质量传感器网络提供了实际解决方案.
- 通过具有成本效益和准确的环境监测提高建筑性能.
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