Internet-Based Monitoring and Prediction System of Coal Stockpile Behaviors Under Atmospheric Conditions
Yükleniyor...
Dosyalar
Tarih
2010
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
Spontaneous combustion on industrial-scale stockpiles causes environmental problems and economic losses for the companies consuming large amounts of coal. In this study, an effective monitoring and prediction system based on internet was developed and implemented to prevent losses and environmental problems. The system was performed in a coal stockpile with 5 m width, 10 m length, 3 m height, and having 120 t of weight. The inner temperature data of the stockpile was recorded by 17 temperature sensors placed inside the stockpile at certain points. Additionally, the data relating to the air temperature, air humidity, atmospheric pressure, wind velocity, and wind direction that are the parameters affecting the coal stockpile were also recorded. The recorded values were analyzed with artificial neural network and Statistical modeling methods for prediction of spontaneous combustion. Real-time measurement values and model outputs were published with a web page on internet. The internet-based system can also provide real-time monitoring (combustion alarms, system status) and tele-controlling (Parameter adjusting, system control) through internet exclusively with a standard web browser without the need of any additional software.
Açıklama
Anahtar Kelimeler
Coal, Stockpile, Spontaneous combustion, Internet-based measurement, Prediction
Kaynak
Environmental Monitoring and Assessment
WoS Q Değeri
Q3
Scopus Q Değeri
Q2
Cilt
162
Sayı
Künye
Yılmaz, N., Özdeniz, A. H., (2010). Internet-Based Monitoring and Prediction System of Coal Stockpile Behaviors Under Atmospheric Conditions. Environmental Monitoring and Assessment, (162), 103-112. Doi: 10.1007/s10661-009-0779-y
