Tag Archive for: ai leak sensor

WI.Plat Showcases NELOW AI at WATER KOREA 2026

WI.Plat participated in WATER KOREA 2026, held from March 18 to 20 at BEXCO in Busan, where it showcased its AI- and IoT-based intelligent water leak management solution, NELOW AI.

During the exhibition, WI.Plat engaged with a wide range of domestic and international water authorities and industry stakeholders, presenting its technologies and real-world application cases. Through these interactions, the company was able to further validate on-site demand and highlight the practical applicability and scalability of its solutions.

In particular, WI.Plat not only demonstrated its core capabilities in leak monitoring, inspection, and detection, but also introduced its AI Agent-based analytics and conversational leak management system, presenting a more intuitive and advanced approach to water network operations.

These innovations attracted strong interest from visitors, especially in the context of improving operational efficiency and reducing non-revenue water (NRW). The exhibition also provided an opportunity to explore potential collaborations in both domestic and international markets.

Building on the momentum from WATER KOREA 2026, WI.Plat plans to continue follow-up discussions with potential partners and expand its presence in global markets through tailored, data-driven water management solutions.

WI.Plat remains committed to advancing smart water management through AI-driven technologies, contributing to more efficient and sustainable water utility operations.

Title: Intelligent Water Leak Detection Technology and ICT-based Water Leak Management Systems in Uttarakhand and Rajasthan (ADB Project Link)

Period: 12 months (2022)

 

Introduction

The Asian Development Bank’s Technical Assistance project introduced an intelligent water leak detection and ICT-based water management system in Uttarakhand and Rajasthan. Running for 12 months in 2022, the initiative targeted Jodhpur and Dehradun, aiming to modernize leak detection through IoT, AI, and cloud technologies.

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Project Objectives

The objective of project was to conduct a comprehensive feasibility study on the implementation of an intelligent water loss management system across selected sites in Jodhpur and Dehradun by integrating modern technologies such as IoT, AI, and cloud services, the initiative sought to enhance the capacity of local water management teams through pilot projects. These efforts were aimed at significantly reducing water loss and carbon dioxide emissions, thereby improving the efficiency and sustainability of water resource management in the targeted cities.

 

Execution Highlights

  • Kick-off and on-site assessments commenced in April, laying the groundwork for successful project deployment.
  • The project provided advanced devices, including 8 sets of Sonic M1 and 13 i-Loggers, facilitating precise data collection.
  • A NELOW server was established, incorporating web and application servers for comprehensive data management and accessibility.
  • Over 30 individuals were trained, strengthening local expertise in using the new technology for water management.

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Outcome

  • Data collection included 275 leak sound data points, alongside water flow and pressure data, enabling the detection of 16 suspicious leak points.
  • The project achieved an estimated annual water loss reduction of 43,800 cubic meters and a carbon reduction of 20,940 kg.
  • Capacity building was conducted, involving 30 people across three official training programs, enhancing the community’s ability to manage sustainable water resources effectively.

 

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Title: Intelligent water leak management system pilot project

Period: May 2021 ~ Nov 2021

 

 

Introduction

Enhancing Water Distribution Efficiency with NELOW

The Binh Thuan province in Vietnam has been facing significant challenges with water loss, leading to reduced availability of clean water for its residents. To address this issue, the pilot project was carried out to develop and implement an intelligent water loss management system in the province. The system aimed to detect and locate leaks in the water distribution network using advanced technology, ultimately reducing water loss and improving water resource management in the region.

The pilot project in Binh Thuan Province, Vietnam is an initiative aimed at developing and implementing an intelligent water loss management system. The system incorporates advanced technologies such as mobile acoustic IoT sensors, pressure data loggers, and ultrasonic flow meters to detect and analyze water leaks in the network. The project is designed to reduce water loss and improve the efficiency of water resource management in the province.

intelligent water leak management system pilot project in binh thuan vietnam

 

Pilot project execution

The project began with the construction of the NELOW server and implementation of the software, followed by the upload of GIS data to the system. The next phase of the project involved the inspection of water leaks at 3,330 points in the distribution network using mobile acoustic sensors. Unlike previous methods that required professional staff to conduct leak detection, the project used local non-professional individuals who were trained in the use of the mobile sensors. This approach not only increased the efficiency of the process but also provided employment opportunities for the local population.

As a result of the leak detection works, a total of 15 water leak points were detected in the distribution network. These leak points were then repaired, leading to a significant reduction in water loss and improvement in water supply for the local population. Furthermore, water flow measurements were conducted to validate the performance of the water loss reduction measures implemented.

 

[Smart IoT device for NELOW]

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[GIS management in NELOW]

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[Water leak sound data collected points]

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[Sound data collection method with Sonic M1]

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Outcome

Through the implementation of the NELOW system and various water management exercises, a total of 188,340 cubic meters of annual water loss was saved. This reduction in water loss led to improved sustainable water resource management, ensuring the provision of clean and safe water to the community.

The success of the project was largely attributed to the NELOW server construction and software implementation, which allowed for the efficient management of water resources and the detection of water leaks. In addition, GIS data was uploaded to NELOW, allowing for better visualization and analysis of water resource data.

One of the unique features of this project was the use of non-professional local people for water leak detection using mobile acoustic sensors. This approach not only provided employment opportunities for the local community but also helped reduce costs and improve efficiency in water resource management.