Yapay bağışıklık sistemleri ile su dağıtım şebekelerindeki su kayıplarının model kalibrasyonuna bağlı olarak tespit edilmesi

Year 2017, Volume: 23 Issue: 9, 1014 - 1018, 29.12.2017

Miraç Eryiğit

Abstract

Bu
çalışmada, su dağıtım şebekelerindeki su kayıplarının miktarları ve yerlerinin
tespit edilmesi için Yapay Bağışıklık Sistemleri (YBS) kullanılarak model
kalibrasyonuna dayalı bir optimizasyon modelinin geliştirilmesi amaçlanmıştır.
Modelde sezgisel optimizasyon tekniği olarak YBS’ nin çeşitlerinden biri olan
Modifiye edilmiş Klonal Seçim Algoritması kullanılmıştır. Model ile birlikte EPANET
2 simulatörü kullanılmıştır. Borularda ve düğüm noktalarındaki su kayıplarının
tespit edilmesindeki performansını test etmek üzere model, sürekli (sabit)
koşullar altında iki gözlü sanal bir su dağıtım şebekesine uygulanmıştır.
Sonuçlar, su dağıtım şebekelerindeki su kayıplarının tespit edilmesi açısından
modelin gelecek vadettiğini göstermiştir.

Keywords

Su kaybı tespiti, Sızma, Su dağıtım şebekesi, Model kalibrasyonu, Yapay bağışıklık sistemleri, Optimizasyon

Water loss detection in water distribution networks by artificial immune systems-based on model calibration

Abstract

This
study aims at the development of an optimization model based on a model
calibration, using Artificial Immune Systems (AIS) for quantifying and locating
water losses in water distribution networks (WDNs). The modified Clonal
Selection Algorithm (modified Clonalg), a class of AIS, was used as a heuristic
optimization technique in the model. EPANET 2 was used in conjunction with the
model. The model was applied to two-loop virtual WDN under steady-state
conditions in order to test its performance in the detection of water losses in
both pipes and nodes. The results showed that the model appeared to be
promising in terms of the water loss detection in WDNs.

Keywords

Water loss detection, Leakage, Water distribution network, Model calibration, Artificial immune systems, Optimization

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