کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6698474 1428365 2018 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Spatiotemporal distribution of indoor particulate matter concentration with a low-cost sensor network
ترجمه فارسی عنوان
توزیع اسپکترومغناطیسی غلظت ذرات خاک با یک شبکه حسگر ارزان قیمت
کلمات کلیدی
سنسور کم هزینه بی سیم، توزیع زمانی فضایی، کریگینگ، فراگیری ماشین،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Real-time measurement of particulate matter (PM) is important for the maintenance of acceptable air quality. The high cost of conventional instruments typically limits the number of monitoring sites, which in turn undermines the accuracy of real-time mapping of sources and hotspots of air pollutants with sufficient spatial resolution. In this study, a wireless network of low-cost particle sensors that can be deployed indoors was developed. To overcome the well-known limitations of low sensitivity and poor signal quality associated with low-cost sensors, a sliding window and a low pass filter were developed to enhance the signal quality. Utility of the networked system with improved sensitivity was demonstrated by deploying it in a woodworking shop. Data collected by the networked system was utilized to construct spatiotemporal PM concentration distributions using an ordinary Kriging method and an Artificial Neural Network model to elucidate particle generation and ventilation processes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Building and Environment - Volume 127, January 2018, Pages 138-147
نویسندگان
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