Application of neural reconstruction of tomographic images in the problem of reliability of flood protection facilities
Ładowanie...
Data
2018
Inny tytuł
Typ
Artykuł recenzyjny
Autorzy
Redaktor
dc.contributor.advisor
Dyscyplina PBN
Informatyka techniczna i telekomunikacja
Czasopismo lub seria
Eksploatacja i Niezawodność – Maintenance and Reliability
ISSN
1507-2711
2956-3860
2956-3860
ISBN
DOI
10.17531/ein.2018.3.11
Strona internetowa
Wydawca
Wydawca
Wydanie
Numer
Strony od-do
Tytuł monografii
item.page.defence
Tytuł tomu
Opis
Rodzaj licencji
Abstrakt (en)
The article presents an innovative concept of enhancing the flood embankments and landfills monitoring. The key advantage of
such a solution is to obtain a more detailed distribution of components within a flood barrier. It leads to more early and sufficient
threat detection, considering the exploitation of the building, thus - a vast enhancement of an embankment’s performance. The
method is based on implementing a neural system, composed of a number of parallelly-working neural networks. Each of them
generate a singular point of final output view. By implementing such monitoring measures it is possible to successfully reconstruct
two-and-three dimensional models of flood barriers and dams - including possible breaches and damages within its inner structure. An important advantage of such a solution is the possibility of replacing the systems that monitor hydrotechnical facilities
pixel-by- pixel by neural imaging. The performed research leads to solving the problem of low resolution of such images. As this
problem was of crucial value to tomographic imaging method, it was a main obstacle to the development of neural reconstruction
method. Moreover, as the results may be obtained in real-time and at various levels, these new functionalities stand out in comparison to currently used methods for monitoring protective banks.