Pregled bibliografske jedinice broj: 1051764
INFORMATION SYSTEM'S MODELLING FOR WASTEWATER TREATMENT
INFORMATION SYSTEM'S MODELLING FOR WASTEWATER TREATMENT // 7th International Scientific and Professional Conference WATER FOR ALL - Proceedings / Habuda-Stanić, Mirna ; Šiljeg, Mario ; Lauš, Ivana (ur.).
Osijek: Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2018. str. 120-130 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1051764 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
INFORMATION SYSTEM'S MODELLING FOR WASTEWATER TREATMENT
Autori
Gotal Dmitrović, Lovorka ; Selec, Hrvoje ; Dušak, Vesna
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
7th International Scientific and Professional Conference WATER FOR ALL - Proceedings
/ Habuda-Stanić, Mirna ; Šiljeg, Mario ; Lauš, Ivana - Osijek : Prehrambeno tehnološki fakultet Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2018, 120-130
ISBN
978-953-7005-48-1
Skup
7. međunarodni znanstveno-stručni skup: Voda za sve = 7th International Scientific and Professional Conference: Water for all
Mjesto i datum
Osijek, Hrvatska, 09.03.2017. - 10.03.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
simulations modelling, statistical process control, wastewater treatment
Sažetak
This paper presents the development of information-system model for wastewater treatment. For this purpose, the models of real, complex, engineering systems have been created. The development of an information system model includes the development of conceptual models, mathematical models and a model of dynamic systems. The model enabled the development of the model of the adaptive water purification system. Developed computer model randomly uses variables of the selected values from the theoretical probability distribution of the variables applied. For validation of the model, nonparametric test was applied. The methodology proposed in the work is based on simulations modelling. Additionally, the total adaptive system deadlocks, which may cause material or environmental damage and even affect human health, have been predicted. The control was done by Statistical Process Control (SPC). The characteristic of this process is that there is no lower control limit on the control chart. In this case, upper control limit (3σ) is maximum allowable concentration (MAC), between the limit of 2σ and 3σ there is a risk, and the zone between 1σ and 2σ is the warning zone.
Izvorni jezik
Engleski
Znanstvena područja
Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin,
Sveučilište Sjever, Koprivnica