Title: Water Leak Detection and MNF Reduction Project in Surabaya

Period: September – February, 2024 (6 months)

 

 

Introduction

What is Minimum Night Flow and Why is it Important?

In this project, a comprehensive leak reduction system (NELOW) was implemented for PDAM Surya Sembada Kota Surabaya (Surabaya Water Authority). The goal was to provide an integrated leak reduction service capable of monitoring both flow and pressure in the project area. After establishing the NELOW system in Surabaya, primary and secondary leak detection activities were conducted, leak points were identified and isolated, pressure monitoring equipment was installed, and flow data collection was carried out.

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NRW Status

How MNF Analysis Improves Water Leak Detection in Surabaya

Surabaya faces a high NRW rate of 31.06% due to aging pipelines, pressure-induced leaks, and malfunctioning water meters. With no specialized leak management companies in the city, PDAM Surya Sembada relies on its own NRW team, consisting of only six members as of 2024. PDAM Surabaya has shown strong interest and commitment to building internal capacity for water loss management, making it an ideal fit for the services provided by WI.Plat.

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Local Partner

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SUPRA International, a partner of WI.Plat since 2021, has actively operated in Indonesia through technology transfer from WI.Plat. In this project, SUPRA’s engineers and project managers played a pivotal role, demonstrating their expertise and capabilities.

 

Key Activities

Here are the key onsite activities performed during the project.

 

  • Baseline Survey & GIS Data CollectionBaseline data was collected on the ① water supply system, ② water supply system operations, and ③ water supply system operating agency within the pilot project area. GIS data was provided to implement it to NELOW server. The project area encompassed a total of 7,150 service connections.

 

  • System Training for PDAM Surabaya: Before the main project activities began, training sessions on water loss management using the NELOW system and equipment operation were conducted. Capacity-building sessions for local managers were also held in separate modules. An in-depth discussion was held on leak inspection methods suited to the local conditions in Surabaya.

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  • Water flow data collection: MNF (Minimum Night Flow) measurements were conducted at the beginning and end of the leak reduction project to assess the reduction in water loss.

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  • Leak Inspection:  Leak inspection work was initiated using Sonic GL. In this phase, leak sound data is collected from water meters and valves located within the project area. The inspection was conducted over approximately five months, including the rainy season (1 to 1.5 months). A team of four from SUPRA and two from PDAM Surabaya carried out the inspection work together.

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  • Leak Validation:  Based on the analysis of data collected during the inspection phase, a total of 40 potential leak points were identified. In this process, field operators also need to assess whether there are any nearby pumping stations or other factors that could generate leak-like sounds in the suspected areas.

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  • Leak Detection:  For 40 suspected leak points, inspections were conducted along the pipelines identified through GIS data. WI.Plat’s local partner, SUPRA, ultimately pinpointed 34 confirmed leak locations. These leaks were identified solely through the capabilities of local personnel who had received capacity-building training and system training.

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  • Remote Pressure Monitoring:  In the third week of January 2024, installation of 15 Sonic M2 remote pressure monitoring devices was completed, with data upload status confirmed as operational. Nighttime Maximum Fixed Pressure (MFP) measurements were set to occur between 3 a.m. and 5 a.m. Out of the five DMAs, unusual pressure data changes were observed in two zones. PDAM staff identified leaks in areas where pressure dropped. This pressure data monitoring confirmed that leak management through pressure monitoring is feasible in Indonesia.

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Outcomes of MNF-Based Leak Management in Surabaya

The project yielded significant results:

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  • 34 Leak Points Identified
  • 30% of MNF Reduction: Flow data validation showed a 32.11% reduction in the maximum night flow for the existing isolated block, decreasing from 1,600.56 tons to 1,086.8 tons.
  • Sound Data Collected: 6,168 sound data is collected from the project including leak sounds, and even today the managers of PDAM Surabaya is collecting leak sound for detection.
  • Capacity Building of 23 Engineers: Not only has WI.Plat’s partner, SUPRA, but also PDAM Surabaya’s leak management team completed training to use the NELOW system and continue to actively utilize the equipment and system. PDAM Surabaya is committed to ongoing water loss management, viewing this effort not as a one-time project but as a continuous initiative to reduce water loss effectively.

The Surabaya project underscored the effectiveness of intelligent water management solutions in Indonesia. WI.Plat’s NELOW system proved its capability to efficiently detect leaks and enable collaboration between local teams and international expertise. This project establishes a foundation for future water management initiatives in Southeast Asia, promoting enhanced water conservation and resource efficiency. By integrating advanced technology with local expertise, the project offers a sustainable approach to reducing NRW and improving the overall efficiency of water distribution networks.

 

Title: Intelligent water management model project in Samariang, Kuching, Sarawak

Period: July ~ October , 2024 (3 months)

 

Introduction

This case study presents the results of a comprehensive field survey conducted in Samariang, Kuching, Sarawak, Malaysia, as part of the “Intelligent Water Loss Management System in Sarawak, Malaysia” project funded by GGGI-BKCF. The project was led by WI.Plat, starting from March 18th, under the leadership of Sanghoon Cha, Seunghwan Jung, and their team members.

The primary objective of the project was to reduce Minimum Night Flow(MNF) by 20% so that local government of Sarawak can save producing cost of supplied water so more people living in Sarawak can reach to the safe and clean water.

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Key activities included:

  1. Negotiation to implement the project between local Sarawak government, Korean government institute and WI.Plat
  2. Data acquisition from local government and analysis to plan a leak detection strategy with local investigation
  3. Establishment of intelligent water loss management system for technical transfer
  4. Capacity building with local government and local partner
  5. Finalize the leak points to recover and verify the project goal to reduce Minimum Night Flow by 20%

 

The project’s main goal and objective is to provide clean and safe water for those who are suffering from physical water loss that connects to not obtaining revenue(tariff) from customers and having difficulty in providing clean and safe water to customers who are residing outside the city due to low water pressure and lack of water flow.

In order to meet the main and objective, State-of-art data-based technology is established through 3rd call of GGGI-BKCF fund. Along with the technology, IoT devices, GIS web and mobile based software is applied for the project

The implementation of an intelligent water loss management in Samariang represents a significant step towards sustainable development and improved quality of life for its residents. By leveraging advanced technologies and data-driven approaches, this project aims to, reduce water losses to help reduce MNF figure, enhance water loss management without hiring highly experienced leak detection experts with expensive leak detection device and improve overall leak management system efficiency. The findings from this field survey will not only guide the development of tailored solutions for Samariang but may also serve as a valuable reference for similar initiatives in other communities facing water management challenges.

The following sections of this report will delve into the methodologies employed, present detailed findings from each area of investigation, and offer preliminary recommendations based on the observed conditions and collected data.

 

Description of the project methods

WI.Plat and local partner employed a comprehensive approach to detect water leak on the water management system in Samariang. The methodology encompassed both desk-based research and on-site outdoor activities, ensuring a thorough understanding of the current infrastructure and operational practices.

 

  • Establishing Relationships for Project Initiation

Building strong relationships with local government agencies is crucial for initiating the leak reduction project. The CEO of WI.Plat, who has worked extensively with K-Water (Korea Water Resources Corporation, a government agency under the Ministry of Environment in Korea), has leveraged his international experience to connect with government authorities. His connections helped facilitate the collaboration with MUT (Ministry of Utilities and Telecommunications).

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For the project, software utilizing AWS cloud services for the Malaysian region and manufacturing IoT devices were essential components. Prior to assessing the local site, GIS data was required. JBALB, the project’s beneficiary, provided GIS data for the Samariang area. This enabled WI.Plat’s civil engineers to understand the water pipe network in Samariang.

 

  • Acquiring Local Data for Building an Intelligent Leak Management System and Analyzing Local Characteristics

After signing a non-disclosure agreement (NDA) with the local government, GIS data and survey forms were requested and subsequently provided. These were analyzed to understand the local characteristics of the water pipeline network. A strategy for leak detection was developed, which included collecting leak sounds from households and identifying locations to install remote water pressure monitoring devices. EPANET software was also used to gain a comprehensive understanding of the geological characteristics, allowing engineers to pinpoint which parts of the site were most vulnerable to water leaks.

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WI.Plat’s NELOW (NEver LOse Water) system, an intelligent water loss management system, was built on Amazon Web Services (AWS) in Malaysia using the GIS data. NELOW allows users to pinpoint the exact locations of water facilities, including water meters, valves, and pipes, offering a user-friendly interface for water management.

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  • Technical Transfer and Capacity Building

Once NELOW was set up, technical transfer and capacity building commenced on-site. A two-year license was issued for each NELOW account, granting access to local water authority officers and partners. WI.Plat engineers made multiple site visits to train local staff on leak sound collection, remote monitoring device installation, and pinpointing leaks. This training ensures that local personnel can independently manage water loss, promoting the sustainability of the project.

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  • Achieving Project Goals through Leak Detection and Recovery

With the IoT devices in place and data collected, both minor and significant leaks were detected. The project’s primary goal is to reduce the Minimum Night Flow (MNF), a key indicator of water loss during low-demand periods. The reduction in MNF will directly contribute to achieving the project’s water conservation goals.

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Detailed On-site Activity Results

1. Summary of Facility Survey Results

The investigation of the water management system in Samariang area revealed a mix of strengths and areas requiring improvement.

 

  • Water Distribution System (WDS): The WDS in Samariang delivers excellent service, providing consistent water pressure 24 hours a day. The average pressure of 2.5 bar over a 24-hour period is deemed satisfactory. The primary source of raw water is heavy rainfall, supplemented by a smaller portion of groundwater. Although there is an abundant water supply, concerns remain regarding water conservation due to climate change and the use of groundwater, which increases the risk of seawater intrusion, especially in Samariang, which is close to the South China Sea. Additionally, the high Non-Revenue Water (NRW) rate remains a significant issue.

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  • Water Treatment Plants: Related Plants: In Samariang, raw water is primarily sourced from reservoirs formed by ample rainfall. The water drawn from these sources is processed at the Baku Kitang Water Treatment Plant (WTP) and then transported over 33 kilometers of pipelines to the booster pumps. This water is subsequently distributed to three tanks, supplying the entire Samariang area.

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  • NRW Management: The Non-Revenue Water (NRW) rate across Kuching city stands at 59%. Given that water is priced at 0.3 ringgit (approximately 0.1 US cents), this model could potentially lead to financial challenges. Consequently, the Sarawak state government is aiming to tackle water loss reduction by commissioning relevant services each year. This investigation revealed that the equipment used primarily consists of acoustic devices and multi-point, dual-point correlation leak detection products by Ovarro (formerly Primayer) from the UK. Although these products are high-end, they are reportedly difficult to operate, and pinpointing precise leak locations has proven challenging. As a result, the equipment has been stored away and remains unused.

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  • Metering and Billing: Water charges are currently determined by meter readers who visit each property with a water meter on a monthly basis to check usage. In the past, attempts were made to use smart metering for remote data acquisition, but issues with communication and facility management have resulted in the discontinuation of this practice.

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  • Water meters and Infrastructures: Water meters are installed in most residences, positioned around waist height for adult men, making it convenient for meter readers to check readings. Valves are well placed along each alley, and as there is no cold weather in the region, pipes are either buried approximately 1 meter deep or run above ground. For flow measurement, Siemens flow meters are installed at Main DMA and Sub-DMA inlet points, with data transmitted via Cello loggers for monitoring. This data is managed by the company partnered with the Ministry of Utilities and Telecommunications (MUT). Flow meters are also installed at schools and national facilities, ensuring robust monitoring of water flow

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In conclusion, while the water supply system in Samariang exhibits some commendable features, significant improvements are needed in data management, operational guidelines, and water quality control to elevate the system to international standards. These enhancements will be essential for the successful implementation of an intelligent water management model in Samariang.

 

2. Detailed Leak inspection and detection Results

  • 1st leak detection activity

Leak noise data collection began on July 29, during WiPlat’s visit to Kuching. At that time, GIS data for Samariang was provided, allowing us to begin data collection at points such as meters, valves, pipes, and hydrants based on this information. According to the GIS data, Samariang has 5,641 water meters, 153 valves, and a total pipeline length of 110.72 km. The data collection for leak noise was completed by August 31.

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  • 2nd leak detection activity

Based on the data collected in the first phase, a second round of noise collection was conducted in areas where high intensity signals were detected. While there were 695 instances in total, site engineers kept brief notes on conditions during data collection, allowing us to focus on the most suspicious areas. A notable finding during the second noise collection was the presence of considerable electrical noise. Common interferences included nearby barking dogs, passing vehicles, conversations, and sounds from meters in operation, as well as electric noise from utility poles. In this instance, the electrical noise originated from a pump near the meters, used to filter out excessive chlorine in the water supply. WiPlat, drawing on its experience in Korea, was able to distinguish electrical noise and gained insights into dealing with different types of pumps in future projects.

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  • 3rd leak detection activity with pin-pointing

Using the results of the second round of data collection, six final suspected leak sites were identified. WiPlat returned to the site to conduct training on pin-pointing for surface leak detection and visited each of the suspected sites. Surface leak detection training was conducted in specific areas to enable precise identification of leak locations. In addition, visual inspections were performed, revealing visible leaks due to the site’s characteristics. At one site, a field staff member received a report from a user and proceeded with immediate repairs. Another significant leak, estimated at 10 m³/hr, was detected during field inspection and promptly repaired. The remaining four locations require repairs to validate the project outcomes. Additional leaks caused by faulty angle valves on water meters were identified but were considered minor and thus not recorded.

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For areas requiring pinpointing, the Sonic GL_F logger was utilized to record data between 2 and 3 AM—when water usage by users is minimal—to identify leaks through correlation analysis.

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  • Pre-Pressure and Leak Noise Monitoring

The Sonic M2_P remote pressure monitoring equipment, initially proposed by WI.Plat for cross-shaped installation, was instead installed at the pipeline endpoints per feedback from the local water authority (JBALB). The Sonic M2_L units were strategically placed at vulnerable points prone to leaks, such as the northern location (Lorong Cahya Mata) and areas within the Sub-DMA that have experienced significant leakage. Although there was some initial concern over installation methods for the Sonic M2_L, the prevalence of exposed pipes allowed for straightforward sensor attachment. Currently, data transmission is functioning smoothly, and WI.Plat is actively monitoring the data.

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  • Flow Verification via Ultrasonic Flow Meters

To validate the project outcomes, ultrasonic flow meters were purchased and installed for two days each in the Main DMA and Sub-DMA areas. The primary goal is to measure the MNF reduction impact within the Main DMA. However, a leak of approximately 10 m³/hr was identified and repaired, prompting the installation of flow meters in the Sub-DMA to observe the correlation. Results showed a reduction in the inflow rate in the Sub-DMA from 19.7 m³/hr to 16.3 m³/hr—a decrease of about 17.3%. Flow measurements for the Main DMA will continue post-repair to verify project impact.

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Lesson learned:

  1. Efficient System Implementation: The prompt adoption of the intelligent leak management system by local staff was instrumental in ensuring smooth operations from the outset. This highlights the importance of early, intensive training sessions to familiarize local personnel with new technologies. In this case, the familiarity of the NELOW system with easy-to-use features allowed for efficient integration and immediate functionality.
  2. Well-Structured Pipe Network Enhances Leak Detection: The pre-existing pipe network in Samariang was relatively well organized, which facilitated efficient leak detection and continuous monitoring. This experience suggests that areas with disorganized infrastructure might benefit from preliminary system optimization before the introduction of an intelligent management system
  3. Importance of Accurate and Modern Meters: The project revealed that aged and inaccurate water meters contribute significantly to non-revenue water (NRW). Regular and systematic replacement of aging water meters ensures better data accuracy and reduces NRW. It is essential for any NRW management plan to include a strategy for the ongoing replacement and calibration of water meters.
  4. Optimized Pressure Management: Pressure management was identified as a key factor in reducing water loss, particularly during low-demand nighttime hours. By optimizing night-time pressure, the water system can reduce stresses on the pipelines, leading to a decrease in leak formation and subsequently reducing NRW. This emphasizes the value of a pressure monitoring strategy as part of any comprehensive leak management system.
  5. Significance of Regular Leak Inspections: One of the critical findings from this project is the necessity for regular leak inspections to maintain an active leak management system. During the project, multiple leaks were identified and repaired, some of which were not previously noticeable without NELOW’s advanced monitoring capabilities. Continuous and systematic leak inspections, ideally conducted annually or even more frequently, are crucial for reducing water loss and ensuring system sustainability.
  6. Local Capacity Building and Technical Transfer: Capacity building for local staff was critical for the long-term sustainability of the project. Training provided to JBALB engineers on leak sound collection and remote monitoring device installation ensured that they could independently manage the system beyond the project period. This underscores the importance of thorough training and ongoing technical support in achieving lasting project outcomes.
  7. Stakeholder Engagement Is Key: Building relationships with key stakeholders, including local authorities and government agencies, was a critical enabler for project success. The CEO’s international experience and existing relationships facilitated smoother negotiations and ensured collaboration at different levels of government. Effective stakeholder management should therefore be prioritized in similar projects to align objectives and gain necessary support.

Title: Pilot Demonstration of Smart Water Leak Detection Project in Buraydah, Saudi Arabia

Period: September 22 – September 26, 2024

 

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Introduction

What Is Leak Detection Technology and Why Does It Matter?

The pilot project in Buraydah, the capital of the Al-Qassim region in north-central Saudi Arabia, aimed to improve water management and reduce non-revenue water (NRW) by implementing WI.Plat’s advanced water leak detection technology. In collaboration with International Aramoon Co. Ltd. (IAC), we aim not only to identify and address leak points but also to train local workers to effectively use our systems. This project builds upon WI.Plat’s success in previous international projects and represents a significant step toward sustainable water management in the Middle East.

 

NRW Status

The challenge of non-revenue water (NRW) in Buraydah is significant, with many leaks detected throughout the existing infrastructure. These leaks not only contribute to substantial water loss but also hinder effective resource management in the region. Currently, International Aramoon Co. Ltd. (IAC) relies heavily on expert technicians for leak detection. IAC is actively seeking innovative and high-tech solutions to enhance their leak detection and management capabilities.

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The adoption of WI.Plat’s advanced technology represents a critical step toward addressing these challenges, enabling IAC to implement more effective strategies for minimizing NRW and improving overall water distribution efficiency. The collaboration aims to foster a proactive approach in identifying and mitigating leaks, ensuring a sustainable water supply for the community.

 

Local Partner

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International Aramoon Co. Ltd. (IAC) is specialized in No-Dig Leak Detection and Test and Repair for Water and Sewer Network. Accordingly, it is considered to be first local specialized Trenchless Technology contractor in the Kingdom of Saudi Arabia and the GCC Region.

 

Key Activities

Here are the key onsite activities performed during the project.

 

  • GIS Data Collection and Analysis: The first phase of the project involved a comprehensive assessment of the study area, which includes 3,822 water meters, 150 valves, 22 hydrants, and 76 kilometers of pipelines. This extensive data collection was crucial not only for understanding the existing infrastructure but also for creating a robust Geographic Information System (GIS) framework. By mapping these elements in GIS, we gained valuable insights into the spatial distribution of the water network, enabling us prioritize areas for investigation.

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  • System Introduction and Training for Local Engineers: WI.Plat’s NELOW system and Sonic GL-F devices were introduced to local engineers from Aramoon during a series of comprehensive training sessions. These sessions were designed not only to familiarize the engineers with the advanced technology but also to provide them with hands-on experience in its application. By the end of the training, the engineers were well-equipped with the knowledge and skills necessary to effectively utilize the NELOW system and Sonic GL-F devices, empowering them to contribute to the project’s success.

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  • Leak Inspection: Following the training, WI.Plat and Aramoon engineers conducted leak inspections within a designated District Metered Area (DMA). The investigation process involved the collection of 203 sound recordings using Sonic GL-F devices. Twenty of these recordings were identified as potential leak sources, and chosen for further overnight monitoring using the GL-F loggers.

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  • Leak Validation: From the initial assessment, twenty recordings were flagged as potential leak sources. For these identified areas, a detailed inspection was conducted using multiple Sonic GL devices, strategically placed near suspected leak points. Data was collected at regular intervals—every 10 minutes—during nighttime when ambient noise levels are low, ensuring greater accuracy in detecting leak signals. NELOW system’s advanced correlation feature analyzes this data to identify continuous leak signals and estimate their exact locations, enabling targeted and efficient interventions.

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  • Leak Detection: Nine critical points were identified for additional investigation. WI.Plat’s engineers, alongside the local team, performed precise leak pinpointing, validating existing leaks previously suspected by the local staff. Additional points were confirmed by Aramoon’s local expert, further demonstrating the effectiveness of WI.Plat’s solutions.

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  • Pressure Logging and M2 Remote Sensor Communication Test: WI.Plat introduced pressure loggers to simulate both standard water pressure and water hammer effects. Additionally, the M2 modem communication tests were successful, demonstrating compatibility with local networks, including STC, Zain KSA, and Mobily.

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  • AI Customizing: WI.Plat will leverage the collected data from this project to customize an AI model, enhancing its accuracy for future initiatives in Saudi Arabia. The unique sound profiles captured are specific to the region, influenced by the local network infrastructure and water pressure conditions. By tailoring the AI model to these distinct characteristics, we aim to improve leak detection capabilities, ensuring more effective management of water resources in future projects.

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Outcomes of Using Leak Detection Technology

The project yielded significant results:

  • Potential Leak Points Identified: 9 potential leak sites, at least 1 confirmed.
  • Sound Data Collected: 203 points, with 20 identified as suspicious for further analysis
  • Local Worker Training: Local workers were successfully trained to use WI.Plat’s advanced leak detection devices, such as the Sonic GL-F and pressure loggers. This training enabled the local team to conduct investigations and pinpoint leaks independently.
  • Modem Communication Test Success: Confirmed effective communication between M2 devices and local Saudi networks.

 

The project also allowed us to identify areas for improvements:

  • Enhanced Ground Penetration with Metallic Stick: In environments such as sandy soil, where the detection of leak sounds at the surface proves challenging, equipping the Sonic GL with a metallic stick enables deeper insertion into the ground, thereby allowing the sensor to capture clearer sound signals close to buried pipelines, which ensures that leaks are not overlooked due to unfavorable conditions.
  • Protective Cover for Noise Reduction: By outfitting the Sonic GL with a protective cover, which effectively shields the device from environmental disturbances like wind and ambient noise, we can ensure that only relevant leak sounds are recorded, thus improving data quality and minimizing the risk of false positives resulting from external interference.
  • Efficient Data Collection from Outdoor Meters: The positioning of the water meters outdoors facilitated straightforward data collection during the project. With minimal obstructions and easy access, local teams were able to gather data efficiently.
  • Consistent Water Pressure for Leak Detection: The relatively constant water pressure during the project period provided a stable environment for leak detection efforts. This consistency enabled our team to conduct thorough checks throughout the day, enhancing the reliability of the findings.
  • Low Ambient Noise Levels: The project benefited from low ambient noise levels, which greatly aided in the pinpointing of potential leaks. With fewer competing sounds in the environment, the Sonic GL could operate more effectively, allowing for clearer detection of leak signals.

 

The Buraydah pilot project highlighted the potential of intelligent water management solutions in Saudi Arabia. WI.Plat’s NELOW system demonstrated its ability to detect leaks efficiently and foster collaboration between local teams and international expertise. The project lays the groundwork for future water management initiatives in the Middle East, promising improved water conservation and resource management. The integration of advanced technology and local know-how offers a sustainable path forward in tackling NRW and enhancing the overall efficiency of the water distribution network.

Title: Smart Water Leak Management Project in Jangheung County, Republic of Korea

Period: (First round) March 9 – March 14, 2023 / (Second round) March 19 – March 22, 2023

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Introduction

The Jangheung project successfully identified leak points after an extensive investigation of 871 water meters and valves, leading to significant reductions in MNF(Minimum Night Flow).

The project is expected to save around 36,500 tons of water annually, contributing to improved water efficiency in the region. This case serves as an important example for enhancing water management and reducing NRW across local regions in South Korea.

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Key Activities

Here are key onsite activities during the projects.

  • Leak Sound Data Collection: WI.Plat gathered leak sound data from 871 water meters and valves, providing a comprehensive overview of potential leak sources in the area. Detailed methodology of Sonic GL can be viewed by the followed link: AI-Powered Underground water leak detection
  • Leak Detection: From the collected data, 149 suspected leak points were identified, allowing for precise targeting in further investigations.
  • Precision Leak Investigation: Detailed investigations confirmed 15 actual leak sites, providing valuable insights into the condition of the local water distribution network.
  • Restoration and Monitoring: After repairing the leaks, WI.Plat monitored MNF to assess the effectiveness of the repairs

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Results

The project yielded significant results:

  • Confirmed Leak Points: 15
  • Annual Water Savings: Approximately 36,500 tons
  • MNF Reduction: Significant improvements across the targeted districts

 

Title: Water leak reduction project to reduce NRW rate in Sukabumi city of Indonesia utilizing NELOW, Intelligent(Smart) water leak detection system implementation

Period: 16-month period from April 2021 to July 2022

 

Introduction

In the vibrant city of Sukabumi, Indonesia, WI.Plat embarked on a transformative journey with the KOICA CTS project aimed at redefining water management practices. This case study explores the pivotal changes brought about in two District Metered Areas (DMAs) of Kadudampit and Badukarut, home to 3,200 households, over a 16-month period from April 2021 to July 2022.

 

Strategic Approach and Implementation

WI.Plat’s NELOW system, an AI-driven water management solution, was at the core of this project. The implementation process involved:

  • A comprehensive pipe network investigation and assessment.
  • The deployment of the NELOW system to monitor and manage the water network.
  • Capacity building for 20 local engineers in utilizing the NELOW system for effective water loss management.
  • Systematic water leak inspections and detections conducted by the newly trained local engineers.
  • Water leak recovery operations carried out by a local company, reinforcing the project’s commitment to community engagement and empowerment.

 

Sustainable Development and Local Empowerment

The project yielded significant results:

  • A total of 40 leak points were detected and subsequently repaired.
  • These efforts culminated in annual water savings of 547,000 tons
  • The project’s success translated into the provision of additional clean water resources for approximately 6,000 people, based on the daily usage rate of 0.25 tons per person.

One of the most noteworthy outcomes was the capacity building of local engineers. This initiative not only facilitated the project’s objectives but also ensured sustainability through skill transfer and empowerment. The local engineers, equipped with new expertise, carried out water leak detection independently, showcasing the project’s impact on enhancing local technical capabilities.

 

Outcome: AI and Local Expertise, WI.Plat’s Impact on Sukabumi’s Water Management

The KOICA CTS project in Sukabumi is a testament to the potential of AI in revolutionizing water management. By integrating advanced technology with local expertise, WI.Plat not only addressed the immediate challenges of water loss but also laid the foundation for sustainable water resource management, leaving a lasting legacy in the city of Sukabumi.

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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.

 

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.

 

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.

 

Title: Intelligent water leak management system pilot project

Period: Aug 2021 ~ Dec 2021 (5 Months)

Outcome:

  • Capacity building : 7 engineers
  • Water leak detection : 14 points
  • Water leak reduction : 7 ㎥/hr

 

Introduction

The P4G project, a collaboration between VUCICO Vietnam, VWSA, HADUWACO, HUCE, and WI.Plat, was conducted from July 2021 to April 2022 in Hai Duong, Vietnam. This project aimed to implement the Intelligent Water Leakage Management Platform across 3 District Metered Areas (DMAs), each serving 2,000 to 3,000 households, to address water loss issues.

 

Objective and Implementation

The project’s goal was to build local expertise in water leakage management and reduce water leakage by 30% within the targeted areas. It involved deploying the NELOW system, which included setting up a cloud-based server for data storage and analysis, and providing smart devices like mobile acoustic IoT sensors and ultrasonic flow meters for data collection on water distribution.

 

No Barrier was existed even during Pandemic for this Global Project

During the pilot project in Hai Duong city’s DMAs, over 10 engineers in each city were trained to use the NELOW system for detecting water leaks. The integration of Geographic Information System (GIS) data into NELOW improved the precision in locating water infrastructure, leading to efficient leak detection and management. Initial assessments identified several leaks, which were promptly repaired, showcasing a notable improvement in water conservation and reducing non-revenue water percentages.

 

Significant Leaks were Detected and Recovered Successfully

The project achieved significant reductions in water loss, validating the effectiveness of the NELOW system in improving water supply management and efficiency. The initiative also illustrated the potential for scaling this technology to other areas, representing a substantial advancement in intelligent water management practices.

 

Conclusion

The successful implementation of the P4G project in Hai Duong illustrates a practical approach to tackling water loss with advanced technology. By adopting intelligent water management systems like NELOW, there is a clear path forward for enhancing water efficiency and sustainability in urban settings, contributing positively to the management of water resources.

 

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