Water Pipeline Leakage Monitoring System based on Internet of Things

N., N.; Omar, K. N. F.; Azir, Ku Nurul Fazira Ku; Kamarudzaman, M. F.

doi:10.1088/1742-6596/1962/1/012025

Cited by 8 publications

(8 citation statements)

References 15 publications

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“…Meanwhile (Tadokoro et al, 2019) uses IoT for monitoring and control of water supply management. As with other researchers, (Che, Omar, Azir, & Kamarudzaman, 2021) was to design an air pipe damage detection tools using a pressure transmitter sensor which can be monitored from a smartphone screen. This tool uses two flowmeter sensors that are placed in positions before and after the pipe damage point to record data on the difference between the incoming and outgoing airflow.…”

Section: Introductionmentioning

confidence: 99%

Water Pressure Data Recording System On Pipes Based On The Internet Of Things Networking

Anwar,

Yunus,

Yuniar

2023

IJABIM

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Measurement system technology is increasing along with the development of digital technology. Likewise, the technology for measuring water pressure in pipes is made digitally, although many conventional measurements still exist, such as the flow meter in housing in general. The purpose of this research is to make a tool based on Internet of Things technology, especially water pressure sensors that are installed in various water sources to obtain data in real time to ensure sufficient pressure to push water to the customer. Each water pressure sensor node is monitored from the system dashboard in real time. In this paper, the author offers an IoT-based measurement system for microcontroller technology on a smart pressure meter using a water pressure sensor controlled by the NodeMCU and the pressure bar is calculated then the data is sent to the cloud with the GPRS module. The results will be displayed on the monitoring system dashboard in form of pressure data, volume in the water reservoir. The results of this study are the implementation of DWM IoT technology is able to monitor water pressure at several PDAM nodes by recording data and displaying pressure data in real time graphical form on the DWM IoT dashboard.

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Section: Introductionmentioning

confidence: 99%

Water Pressure Data Recording System On Pipes Based On The Internet Of Things Networking

Anwar,

Yunus,

Yuniar

2023

IJABIM

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“…The development of advanced microprocessors and improved signal-processing techniques are likely to result in a substantial boost in automation in the area of leak detection methods. Although researchers are using a wide range of sensors to collect data, accelerometer [12][13][14], acoustic sensor [15,16], flow [17][18][19][20], and pressure [21] sensor categories dominate the study area. Vibration sensors or their derivatives, such as accelerometers and acoustic sensors, are the number one choice for leakage detection and location research.…”

Section: Introductionmentioning

confidence: 99%

“…There is no communication aspect in this research, so the solution lacks real-time monitoring potential. To solve the issue of communications, researchers have included IoT in [17][18][19][20][21] research. In the articles [17][18][19][20][21], researchers have followed a similar trend: data is collected through single or multiple sensors and sent to the server at an interval.…”

Section: Introductionmentioning

confidence: 99%

“…To solve the issue of communications, researchers have included IoT in [17][18][19][20][21] research. In the articles [17][18][19][20][21], researchers have followed a similar trend: data is collected through single or multiple sensors and sent to the server at an interval. This regular data transmission requires a lot of power at the sensor node side.…”

Section: Introductionmentioning

confidence: 99%

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An Intelligent IoT and ML-Based Water Leakage Detection System

Islam,

Azam,

Shanmugam

et al. 2023

IEEE Access

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Water is a precious resource, and much of it is wasted due to the leakage of pipelines. Timely identification of leakage could curb the wastage. Traditional leakage detection methods are time-consuming, inefficient and cause substantial water loss. Onsite, real-time leakage detection could reduce water loss and mitigate associated environmental and economic impacts. In this paper, we have proposed and developed an edge ML-based low-power IoT device to detect water leakage and notify the user. We developed the device in three stages. At first, an experiment was set up to capture real-life audio data of leak and non-leak signals.A piezoelectric contact microphone was used to capture the audio signals and to keep the unwanted environmental noise minimal. In the second step, an ML model was developed. The ML model was then quantized and pruned, resulting in a lightweight model of 11 KB in size with 98.96% accuracy. Finally, a node was implemented with an ML model and radio communication capability. If it detect ed any leakage, the node started beeping noise and broadcasting low-energy RF messages. The primary node could alert the user of potential leakage. These sensor nodes could be set up in the home or industrial environment. The device's maximum current draw was 216.8 mA while transmitting data, and the minimum current draw was only 5.46 mA while sleeping. The node could run for more than 25 days on a single 3500 mAh battery.INDEX TERMS Water leakage detection, internet of things (IoT), machine learning (ML), Sensor Networks, edge IoT.

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“…Figure 2. Conceptual block diagram and idealization of the proposed project (Adapted from Che et al,[24]; Tina et al,[25]). …”

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confidence: 99%

Development of a Low-Cost Prototype System for Pipeline Operational and Vandalism Spillage Detection and Validation Framework

Ekeu-Wei,

Ekeu-Wei

2024

AIT

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Crude oil spillage is a major challenge in Nigeria. It affects the environment, health, life, and livelihood of residents of the Niger Delta region, where oil is explored, processed, and transported via a network of pipelines. Oil spillage is primarily caused by vandalization/sabotage and operational issues such as corrosion, equipment failure, operation, and maintenance errors. Thus, prompt response is required to mitigate the impact of oil spills. In this study, we deployed low-cost Arduino systems, including sensors (vibration and flow), modules (GPS and Wifi) and an IoT platform (ThingSpeak) to detect spillage caused by vandalism and operational inefficiencies proactively. The results demonstrate that low-cost sensors can detect changes in the flow volume between the inflow and outflow attributable to spillage, and vibration shocks caused by vandalism can be detected and linked to the cause of the spillage and communicated in real time to inform response action. Moreover, we proposed a framework for field validation utilizing KoboToolBox (a crowdsourcing/citizen science platform). The prototype system designed and programmed showed promising results, as it could detect spillage for vandalism and operational scenarios in real-time, quantify the volume of spillage, and identify the location and time of spillage occurrence; indicators relevant for response planning to minimize the impact of oil spillage. A video demonstration of the prototype system developed is accessible via: https://youtu.be/wKa9MZvYf1w.

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Water Pipeline Leakage Monitoring System based on Internet of Things

Cited by 8 publications

References 15 publications

Water Pressure Data Recording System On Pipes Based On The Internet Of Things Networking

Water Pressure Data Recording System On Pipes Based On The Internet Of Things Networking

An Intelligent IoT and ML-Based Water Leakage Detection System

Development of a Low-Cost Prototype System for Pipeline Operational and Vandalism Spillage Detection and Validation Framework

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