Rapid identification of single constant contaminant source by considering characteristics of real sensors

被引:0
|
作者
Hao Cai
Xian-ting Li
Ling-juan Kong
Xiao-jun Ma
Xiao-liang Shao
机构
[1] Tsinghua University,Department of Building Science, School of Architecture
[2] PLA University of Science & Technology,Engineering Institute of Engineering Corps
[3] Nanjing Artillery Academy,undefined
来源
关键词
source identification; contaminant source; indoor environment; computational fluid dynamics (CFD); air distribution;
D O I
暂无
中图分类号
学科分类号
摘要
For the release of hazardous contaminant indoors, source identification is critical for developing effective response measures. A method which can quickly and accurately identify the position, emission rate, and release time of a single constant contaminant source by using real sensors was presented. The method was numerically demonstrated and validated by a case study of contaminant release in a three-dimensional office. The effects of the measurement errors and total sampling period of sensor on the performance of source identification were thoroughly studied. The results indicate that the adverse effects of the measurement errors can be mitigated by extending the total sampling period. For reaching a desirable accuracy of source identification, the total sampling period should exceed a certain threshold, which can be determined by repeatedly running the identification method until the results tend to be stable. The method presented can contribute to develop an onsite source identification system for protecting occupants from indoor releases.
引用
收藏
页码:593 / 599
页数:6
相关论文
共 36 条
  • [1] Rapid identification of single constant contaminant source by considering characteristics of real sensors
    蔡浩
    李先庭
    孔令娟
    马晓钧
    邵晓亮
    JournalofCentralSouthUniversity, 2012, 19 (03) : 593 - 599
  • [2] Rapid identification of single constant contaminant source by considering characteristics of real sensors
    Cai Hao
    Li Xian-ting
    Kong Ling-juan
    Ma Xiao-jun
    Shao Xiao-liang
    JOURNAL OF CENTRAL SOUTH UNIVERSITY, 2012, 19 (03) : 593 - 599
  • [3] Identification of constant contaminant sources in a test chamber with real sensors
    Shao, Xiaoliang
    Li, Xianting
    Ma, Huiying
    INDOOR AND BUILT ENVIRONMENT, 2016, 25 (06) : 997 - 1010
  • [4] Identification of indoor contaminant source location by a single concentration sensor
    Lin-Lin Wang
    Xue-Yi You
    Air Quality, Atmosphere & Health, 2015, 8 : 115 - 122
  • [5] Identification of indoor contaminant source location by a single concentration sensor
    Wang, Lin-Lin
    You, Xue-Yi
    AIR QUALITY ATMOSPHERE AND HEALTH, 2015, 8 (01): : 115 - 122
  • [6] Fast Identification of Multiple Indoor Constant Contaminant Sources by Ideal Sensors: A Theoretical Model and Numerical Validation
    Cai, Hao
    Li, Xianting
    Chen, Zhilong
    Kong, Lingjuan
    INDOOR AND BUILT ENVIRONMENT, 2013, 22 (06) : 897 - 909
  • [7] Real-time determination of indoor contaminant source location and strength, part II: With two sensors
    Cai, Hao
    Li, Xianting
    Long, Weiding
    BUILDING SIMULATION 2007, VOLS 1-3, PROCEEDINGS, 2007, : 1279 - +
  • [8] Groundwater contaminant source identification considering unknown boundary condition based on an automated machine learning surrogate
    Xu, Yaning
    Lu, Wenxi
    Pan, Zidong
    Luo, Chengming
    Bai, Yukun
    Qiu, Shuwei
    GEOSCIENCE FRONTIERS, 2024, 15 (01)
  • [9] Joint identification of contaminant source characteristics and hydraulic conductivity in a tide-influenced coastal aquifer
    Dodangeh, Arezou
    Rajabi, Mohammad Mahdi
    Carrera, Jesus
    Fahs, Marwan
    JOURNAL OF CONTAMINANT HYDROLOGY, 2022, 247
  • [10] Constant-phase element identification in conductivity sensors using a single square wave
    Lario-Garcia, Javier
    Pallas-Areny, Ramon
    SENSORS AND ACTUATORS A-PHYSICAL, 2006, 132 (01) : 122 - 128