Littérature scientifique sur le sujet « Real-time IAQ index »
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Articles de revues sur le sujet "Real-time IAQ index":
Chiesa, Giacomo, Silvia Cesari, Miguel Garcia, Mohammad Issa et Shuyang Li. « Multisensor IoT Platform for Optimising IAQ Levels in Buildings through a Smart Ventilation System ». Sustainability 11, no 20 (18 octobre 2019) : 5777. http://dx.doi.org/10.3390/su11205777.
Zhao, Liang, Huan Zhou, Rui Chen et Zhaoyang Shen. « Efficient Monitoring and Adaptive Control of Indoor Air Quality Based on IoT Technology and Fuzzy Inference ». Wireless Communications and Mobile Computing 2022 (26 septembre 2022) : 1–14. http://dx.doi.org/10.1155/2022/4127079.
Kim, Ho-Hyun, Min-Jung Kwak, Kwang-Jin Kim, Yoon-Kyung Gwak, Jeong-Hun Lee et Ho-Hyeong Yang. « Evaluation of IAQ Management Using an IoT-Based Indoor Garden ». International Journal of Environmental Research and Public Health 17, no 6 (13 mars 2020) : 1867. http://dx.doi.org/10.3390/ijerph17061867.
Marques, Gonçalo, et Rui Pitarma. « An Internet of Things-Based Environmental Quality Management System to Supervise the Indoor Laboratory Conditions ». Applied Sciences 9, no 3 (28 janvier 2019) : 438. http://dx.doi.org/10.3390/app9030438.
Peladarinos, Nikolaos, Vasileios Cheimaras, Dimitrios Piromalis, Konstantinos G. Arvanitis, Panagiotis Papageorgas, Nikolaos Monios, Ioannis Dogas, Milos Stojmenovic et Georgios Tsaramirsis. « Early Warning Systems for COVID-19 Infections Based on Low-Cost Indoor Air-Quality Sensors and LPWANs ». Sensors 21, no 18 (15 septembre 2021) : 6183. http://dx.doi.org/10.3390/s21186183.
Chen, Chen Cheng, et Chen Wei Chien. « Integrating Logis Regression and XGBoost to Construct Indoor Air Quality Improvement Research ». E3S Web of Conferences 396 (2023) : 01021. http://dx.doi.org/10.1051/e3sconf/202339601021.
Botticini, Stefano, Elisabetta Comini, Salvatore Dello Iacono, Alessandra Flammini, Luigi Gaioni, Andrea Galliani, Luca Ghislotti et al. « Index Air Quality Monitoring for Light and Active Mobility ». Sensors 24, no 10 (16 mai 2024) : 3170. http://dx.doi.org/10.3390/s24103170.
Tiele, Akira, Siavash Esfahani et James Covington. « Design and Development of a Low-Cost, Portable Monitoring Device for Indoor Environment Quality ». Journal of Sensors 2018 (2018) : 1–14. http://dx.doi.org/10.1155/2018/5353816.
Ogundiran, John Omomoluwa, Jean-Paul Kapuya Bulaba Nyembwe, Anabela Salgueiro Narciso Ribeiro et Manuel Gameiro da Silva. « A Field Survey on Indoor Climate in Land Transport Cabins of Buses and Trains ». Atmosphere 15, no 5 (13 mai 2024) : 589. http://dx.doi.org/10.3390/atmos15050589.
Kapoor, Nishant Raj, Ashok Kumar, Anuj Kumar, Aman Kumar, Mazin Abed Mohammed, Krishna Kumar, Seifedine Kadry et Sangsoon Lim. « Machine Learning-Based CO2 Prediction for Office Room : A Pilot Study ». Wireless Communications and Mobile Computing 2022 (7 mars 2022) : 1–16. http://dx.doi.org/10.1155/2022/9404807.
Thèses sur le sujet "Real-time IAQ index":
Assy, Eliane. « Study of indoor air quality by multi-sensor systems ». Electronic Thesis or Diss., Université de Lille (2018-2021), 2021. http://www.theses.fr/2021LILUR056.
Exposure to indoor air pollution is a major health hazard for the general population, leading to respiratory and cardiovascular diseases and even to premature death. In spite of an increasing number of studies in the last decades, indoor air pollution data are still scarce. This is due in part to the many different environments, public or private, to be investigated, and to the availability of instruments that can be deployed in such environments without disturbing the occupants. For these reasons, the now commercially available low-cost chemical sensors are promising instruments for the study of IAQ, provided they are well characterized.In the present work, sensor nodes developed in a multidisciplinary project within the University of Lille, were tested in laboratory semi-controlled conditions to assess their performances and limitations. They were found adequate to quantify with a high time resolution (30 seconds) the concentrations of CO2, CO, NOx, O3, VOC and PM, in spite of some calibration issues linked to chemical interferences and to the dependence of the sensors response on the relative humidity.These sensors nodes were deployed in various residential and non-residential buildings in the metropolitan area of Lille. These measurements showed that, most of the time, the indoor air pollutants concentrations are below the threshold values recommended by the scientific community. The measurements also allowed, when coupled to space-time-activity logs filled by the occupants, to identify and characterize the events leading to concentrations in excess of the recommended values. Such IAQ determinants include cooking, even on electric stove, combustion processes such as cigarette smoking or burning candles or incense, use of body care and housecleaning products, and even the mere presence of occupants.The sensors data were used to calculate a quasi-real time indoor air quality index, based on the INT’AIR® index. This modified index converges quickly with INT’AIR®, therefore allowing to perform an easy and cheap assessment of IAQ as mandated by regulatory instances. At the same time, the new index also responds immediately to pollution events, which could be used by building managers to take actions to improve IAQ when necessary
Chapitres de livres sur le sujet "Real-time IAQ index":
Khan, Tahmeena, et Alfred J. Lawrence. « Technological Interventions and Indoor Air Quality Assessment in Smart Environments : A Review ». Dans Indoor Air Quality Assessment for Smart Environments. IOS Press, 2022. http://dx.doi.org/10.3233/aise220004.
Actes de conférences sur le sujet "Real-time IAQ index":
Badea, Elena, Cristina Carsote, Cristina Balaceanu, Oana Orza, Sabina Bosoc, Robert Streche, George Suciu, Zóra Barta, Valéria Tálai et Zsolt Viniczay. « Understanding and Controlling the Environmental Quality in Museums through IoT : An International Research and Practice Collaboration to Support Museums in the Implementation of Climate Action ». Dans The 9th International Conference on Advanced Materials and Systems. INCDTP - Leather and Footwear Research Institute (ICPI), Bucharest, Romania, 2022. http://dx.doi.org/10.24264/icams-2022.w.1.