Su kayıp yönetimi için temel hesaplama araçlarının geliştirilmesi ve temel su kayıp bileşenlerinin analizi

Fırat, Mahmut; Yılmaz, Salih; Orhan, Cansu

doi:10.17714/gumusfenbil.812340

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…The state vector of the generated filter system is defined in Equation (12). q 0 is the real component, q1, q2, and q3 are the virtual components of the quaternion vector.…”

Section: Position Estimation Methodsmentioning

confidence: 99%

“…In the literature, there are many studies on distribution water leak detection and management. In monitoring and managing physical losses, various methods have been applied, such as the implementation of standard water balance and performance monitoring [9]- [12], monitoring of minimum night flow, determination of potentially preventable leaks daily [13], [14], implementation of pressure management [15], [16], pipe material management [17]- [19], in-pipe location detection robots that can find leak position [20]- [23]. In this preliminary study, a leak detection robot prototype, which can find the position of the pipe crack with high accuracy, was developed.…”

Section: Introductionmentioning

confidence: 99%

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Position Estimation of In-Pipe Robot using Artificial Neural Network and Sensor Fusion

Akkaya

Talu

Aydoğmuş

2021

Sakarya University Journal of Science

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Water is vital for all living beings, especially for a human. Automatic position detection of water leakage in water pipelines is very important to minimize the loss of labour, time, money spent on exploration and excavation in pipe inspection procedures. The main goal of detection is to prevent water loss. In this study, sensitive position detection, crack frequency band detection and external sphere studies of an in-pipe robot prototype have performed. During the precise position estimation, classical EKF, stationary region detection and location estimation using EHDE are performed with two different ANNs. In this way, online precise position estimation can be done on hardware that has not sufficient computational power for indoor robotic studies. In addition, the sound characteristics resulting from the crack at different hole size and water pressure intensity levels have investigated. Finally, a new sealing sphere design has devised and three different hydrophone sensor data have recorded on the SD card simultaneously. It has been found that the proposed ANN method has the performance to work online and can make a similar position estimation with the classical IMU position estimation method by 99%.

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“…The state vector of the generated filter system is defined in Equation (12). q 0 is the real component, q1, q2, and q3 are the virtual components of the quaternion vector.…”

Section: Position Estimation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Position Estimation of In-Pipe Robot using Artificial Neural Network and Sensor Fusion

Akkaya

Talu

Aydoğmuş

2021

Sakarya University Journal of Science

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Prediction of Non-Revenue Water Cost Via Opportunity Cost Modeling Approach for Sustainable Water

Ekergil

Polat

2023

Eskişehir Osmangazi Üniversitesi İktisadi Ve İdari Bilimler Dergisi

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Uluslararası Su Birliği ile Amerikan Su İşleri Birliği su kaybını önlemek ve sebep olan unsurları tanımlamak için su denetimi kavramını geliştirmişlerdir. Türkiye’de su kayıplarıyla mücadele ve su denetiminde ortak terminoloji sağlamak için şehirlerin su ve kanalizasyon idarelerinden “standart su dengesi tablosu (SSDT)’nu hazırlaması talep edilmektedir. Çalışmanın amacı; SSDT kapsamında su denetimi aracılığıyla sürdürülebilir su geleceğinin katkısını ortaya koymak, gelir getirmeyen su (GGS) miktarına bağlı gelir kaybını belirlemek, fırsat maliyetini hesaplamak ve GGS maliyeti hesaplaması için “fırsat maliyetini bir model” olarak önermektir. Çalışmanın sonucunda, GGS’nin fırsat maliyetinin hesaplanması sayesinde GGS tahmini maliyetinin sistematik bir şekilde azaltılması ve kayıp yönetimi hesaplamalarına katkı sunması beklenmektedir.

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The Analysis of Water Losses and Leakages in Drinking Water Networks Using Scada System: A Case Study from Yozgat

Görkem,

Karaman,

Hayber

2024

Journal of Science, Technology and Engineering Research

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For water to be delivered to people cleanly and healthily, the tanks in which it is stored before being made available must also be reliable and clean. To prevent the risk of transmitting infectious diseases through water, it is vital to apply purification and disinfection processes to the water held in water storage tanks. For this reason, monitoring the sediments in the storage tank and their properties, such as pH, pressure, and temperature, are necessary in real-time. With SCADA systems, water flow is monitored remotely by providing central control and monitoring in drinking water distribution. Thanks to the collected data, adverse situations in the storage tanks can be automatically detected, and water distribution can be managed by intervening in the system when necessary. Additionally, water leaks can be detected, and all the water supplied to the network can be delivered to the user. In this study, the data from 4 pumping centers and 13 water storage tanks in Yozgat province were examined, and all processes from the water source to the water storage tanks and the water supply to people's use were controlled remotely with the SCADA system. While the total physical and administrative lost water rate was 64.35% and physical water loss was 27.59% before the use of SCADA, it was observed that the water losses decreased by 51% with the use of SCADA. Thanks to the system, detected sediment formations are prevented quickly, and water is delivered to the user cleanly and healthily.

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Su kayıp yönetimi için temel hesaplama araçlarının geliştirilmesi ve temel su kayıp bileşenlerinin analizi

Abstract: Su kayıp yönetimi için temel hesaplama araçlarının geliştirilmesi ve temel su kayıp bileşenlerinin analiziDevelopment of basic analysis tools for water loss management and analysis of basic water loss components

Cited by 3 publications

References 25 publications

Position Estimation of In-Pipe Robot using Artificial Neural Network and Sensor Fusion

Position Estimation of In-Pipe Robot using Artificial Neural Network and Sensor Fusion

Prediction of Non-Revenue Water Cost Via Opportunity Cost Modeling Approach for Sustainable Water

The Analysis of Water Losses and Leakages in Drinking Water Networks Using Scada System: A Case Study from Yozgat

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