Abstract
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.
Highlights
The exploitation of flood defences - such as dams and flood banks - is of key value that heavily impacts the security of people, animals and plants that lay within the area of the object
The article presents the original concept of a neural system for the reconstruction of tomographic images
The above model was equipped with an electrode system and the necessary tomography devices (EIT), which enabled the execution of many measurements of electrical quantities and the allocation of cross-sections of the investigated embankment model to those sizes
Summary
The exploitation of flood defences - such as dams and flood banks - is of key value that heavily impacts the security of people, animals and plants that lay within the area of the object. In the literature one can find propositions of methods to calculate the probability that such phenomena will occur [15] Another group of intelligent stochastic methods used by IT systems in order to increase the reliability of exploitation processes, including embankments and flood barriers, are heuristic methods based on fuzzy logic [14, 22, 24]. The analysis of procedures and rules of exploiting this type of objects allows to notice one of the main processes that ensure a proper course of operations, being observation of current behavior and phenomena detection Due to their specificity, they may indicate irregularities threatening the safety of the building. Thanks to the original architecture of the intelligent imaging system, a new functionality was obtained with reference to known tomographic methods, which consisted in increasing the resolution of cross-section images of scanned hydrotechnical objects
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