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Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2017 / Cilt: 23 - Sayı: 9

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

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

Miraç ERYİĞİT
Pages
1014–1018
Publication Date
2017-12-29
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results showed that the model appeared to be promising in terms of the water loss detection in WDNs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis: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).
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Key Findings & Data:EPANET 2 was used in conjunction with the model.
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Conclusion & Impact:The results showed that the model appeared to be promising in terms of the water loss detection in WDNs.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Su kaybı tespiti · Sızma · Su dağıtım şebekesi

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.

Özet

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.

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Cite This Article

ERYİĞİT, M. (2017). Water loss detection in water distribution networks by artificial immune systems-based on model calibration. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 23 - Sayı: 9, 1014–1018. https://ajindex.com/articles/42415

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