scholarly journals Smart water meter for automatic meter reading

2022 ◽  
Vol 1212 (1) ◽  
pp. 012042
Author(s):  
A Amir ◽  
R Fauzi ◽  
Y Arifin
Keyword(s):  
Water Consumption ◽  
Smart City ◽  
Clean Water ◽  
Smart Meter ◽  
Maximum Difference ◽  
Smart Water ◽  
Consumption Data ◽  
Water Meters ◽  
Water Metering ◽  
Water Meter

Abstract Clean water is one of the main sectors in smart city that need well management. One of the clean water management is utilization of water meters. The smart meter is more suitable applied for smart city. Recent Smart Water Meter allows water authorities to obtain water consumption data remotely. It also provides ability to collect and record the data in real time that can be utilised for multipurpose. However, in Indonesia, the water meters are used only to measure the total volume of clean water consumption for billing purpose only using mechanical water meter and requires labour intensive manual. Currently, many researches on smart meter design have been developed. However, the smart meter only measure and record the water consumption, without ability in which customer can determine the amount of water as needed. This paper describes design and development of smart water metering with Internet of Things. Flow meter is used as a sensor of water flowing through the pipe. The ability of the proposed smart meter is not only to measure and to record the volume water consumed, but also the customer can determine the water desired and required. The volume of water measured by the smart meter is compared with the manual measurement. The result shows that the water measured manually differs slightly from smart meter measurement using water flow sensor. The maximum difference, error, is 0.03 litres. The proposed smart meter has ability to close the main valve once the determined amount of water is reached.

scholarly journals Water meter replacement and its impact on water consumption, utility revenue and payback periods

2020 ◽  
Vol 62 (3) ◽  
Author(s):  
M Brinkley ◽  
A A Ilemobade ◽  
M Ncube
Keyword(s):  
Water Consumption ◽  
Best Practice ◽  
Water Utility ◽  
Consumption Data ◽  
Wear And Tear ◽  
High Level ◽  
Water Meters ◽  
Returns On Investment ◽  
The Impact ◽  
Water Meter

Mechanical water meter accuracy degrades over time due to wear and tear. Based on this premise, many water utilities around the world undertake meter replacement projects. In many instances, these projects neither assess the potential or actual impacts of meter replacement on consumption and utility revenue, nor undertake meter replacement based on a best practice, customised metering policy. From 2013 to 2015, Johannesburg Water (SOC) Limited embarked on a project to replace more than 50 000 mechanical water meters that had not been read over a period of 180 days due to technical faults. This study obtained and analysed two databases of these meters and arrived at a sorted and validated database comprising 3 679 meter replacements. For each meter replacement, twelve months of water consumption data was obtained for the period prior to and after replacement. This study then investigated the impact of replacement on water consumption, utility revenue and payback periods. Some high-level highlights from the study include the following: (i) a metering policy that addresses such issues as efficient meter database management, and the optimum meter replacement age and/or volumetric reading, is critical for any water utility if it is to obtain the best results from meter replacement; (ii) in order to guarantee the highest returns on investment, bulk meters (40 mm and larger) should be prioritised for meter replacement over single-stand residential meters; (iii) the replacement of 20 mm and 25 mm meters with 15 mm meters resulted in more accurate metering of consumption by virtue of increased consumption; and (iv) payback of the 15 mm replacement mechanical meters was achieved within 12 months, with the replacement of 20 mm and 25 mm meters resulting in average monthly revenue increases per property of R266.70 and R203.08 respectively.

Mobile Water Meter System in Android Environment

2015 ◽  
pp. 204-218
Author(s):  
Wiwin Windihastuty ◽  
Teddy Mantoro ◽  
Media Anugerah Ayu
Keyword(s):  
Water Consumption ◽  
Mobile Device ◽  
Mobile Apps ◽  
Clean Water ◽  
Proof Of Concept ◽  
The Public ◽  
Mobile Water ◽  
Water Company ◽  
Consumption Data ◽  
Water Meter

Water meter reader is an essential tool for water company, which is responsible for the distribution of clean water to the public and monitor its customer's water consumption. Theoretically water meter should collect water consumption data in accurate and accountable manners. The problem is, in practice, sometimes the record is inaccurate and makes the customers feel uncertain of the water bill that they have to pay. Several factors contributed to this problem, including the officers made mistake in recording the number from water meter or sometimes the officer did not visit the customers and reporting based on the estimation of the water consumption. This chapter proposed a framework to record the water meter data by capturing images in a small mobile device. A prototype, as a proof of concept, of water meter mobile apps was developed to allow the water meter data to read and collected easily to make the billing processed in a more accurate manner but less hassle.

scholarly journals Wireless Middleware Solutions for Smart Water Metering

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1853 ◽  
Author(s):  
Stefano Alvisi ◽  
Francesco Casellato ◽  
Marco Franchini ◽  
Marco Govoni ◽  
Chiara Luciani ◽  
...  
Keyword(s):  
Data Collection ◽  
Field Testing ◽  
Water Utility ◽  
Smart Water ◽  
Computing Paradigm ◽  
Wide Range ◽  
Utility Companies ◽  
Lock In ◽  
Water Meters ◽  
Water Metering

While smart metering applications have initially focused on energy and gas utility markets, water consumption has recently become the subject of increasing attention. Unfortunately, despite the large number of solutions available on the market, the lack of an open and widely accepted communication standard means that vendors typically propose proprietary data collection solutions whose adoption causes non-trivial problems to water utility companies in term of costs, vendor lock-in, and lack of control on the data collection infrastructure. There is the need for open and interoperable smart water metering solutions, capable of collecting data from the wide range of water meters on the market. This paper reports our experience in the development and field testing of a highly interoperable smart water metering solution, which we designed in collaboration with several water utility companies and which we deployed in Gorino Ferrarese, Italy, in collaboration with CADF (Consorzio Acque Delta Ferrarese), the water utility serving the city. At the core of our solution is SWaMM (Smart Water Metering Middleware), an interoperable wireless IoT middleware based on the Edge computing paradigm, which proved extremely effective in interfacing with several types of smart water meters operating with different protocols.

scholarly journals RANCANG BANGUN ALAT METERAN AIR PINTAR BERBASIS IoT SEBAGAI PENUNJANG LAYANAN DISTRIBUSI PDAM

2021 ◽  
Vol 4 (1) ◽  
pp. 1-10
Author(s):  
Bayu Saputra ◽  
Slamet Winardi ◽  
Aryo Nugroho
Keyword(s):  
Water Consumption ◽  
Distribution System ◽  
Consumer Satisfaction ◽  
Water Distribution ◽  
Clean Water ◽  
Recording Device ◽  
Test Results ◽  
Human Errors ◽  
The Public ◽  
Consumption Data

Various public service institutions have increasingly improved their service quality. The existing constraints are corrected for the sake of consumer satisfaction. One of the public services is the clean water distribution system at Surabaya water enterprise. The water will be distributed as per the postpaid-metered or prepaid-metered recording user's clean water consumption. Exisitng postpaid-metered or prepaid-metered device in every househould must be checked by field officers regularly. This manual checking often causing problems of human errors. This study applied the Internet of Things (IoT) concept in automatic checking of postpaid-metered and prepaid-metered device in households. The customized and automatic clean water consumption recording device is built using the ESP32 module. The ESP32 will send the rest of the water consumption data to the server (cloud). This method is expected to automate solution and to create better services to the customers. The accuracy of the test results holds error tolerance value of 10.6%, in the test results with units of mL. The device is believed to be able to provide and alternative in water usage recording purpose.

scholarly journals An Efficient IoT-based Smart Water Meter System of Smart City Environment

2021 ◽  
Vol 12 (8) ◽  
Author(s):  
Raad AL-Madhrahi ◽  
Nayef.A.M. Alduais ◽  
Jiwa Abdullah ◽  
Hairulnizam B. Mahdin ◽  
Abdul-Malik H. Y. Saad ◽  
...  
Keyword(s):  
Smart City ◽  
City Environment ◽  
Smart Water ◽  
Water Meter

scholarly journals A nonparametric framework for water consumption data cleansing: an application to a smart water network in Naples (Italy)

2020 ◽  
Vol 22 (4) ◽  
pp. 666-680 ◽  
Author(s):  
Roberta Padulano ◽  
Giuseppe Del Giudice
Keyword(s):  
Time Series ◽  
Water Consumption ◽  
Remote Monitoring ◽  
Prior Information ◽  
Water Network ◽  
Smart Water ◽  
Consumption Data ◽  
Large Databases ◽  
Unsupervised Approach ◽  
Water Uses

Abstract Remote monitoring and collection of water consumption has gained pivotal importance in the field of demand understanding, modelling and prediction. However, most of the analyses that can be performed on such databases could be jeopardized by inconsistencies due to technological or behavioural issues causing significant amounts of missing or anomalous values. In the present paper, a nonparametric, unsupervised approach is presented to investigate the reliability of a consumption database, applied to the dataset of a district metering area in Naples (Italy) and focused on the detection of suspicious amounts of zero or outlying data. Results showed that the methodology is effective in identifying criticalities both in terms of unreliable time series, namely time series having huge amounts of invalid data, and in terms of unreliable data, namely data values suspiciously different from some suitable central parameters, irrespective of the source causing the anomaly. As such, the proposed approach is suitable for large databases when no prior information is known about the underlying probability distribution of data, and it can also be coupled with other nonparametric, pattern-based methods in order to guarantee that the database to be analysed is homogeneous in terms of water uses.

Quantifying the Mismatch in Smart Water Meter Readings in Muscat Water Distribution Network (DIAM) – Case of Oman

2021 ◽  
Vol 8 (4) ◽  
pp. 230-260
Author(s):  
Maria Teresa Matriano
Keyword(s):  
Middle East ◽  
Focus Group ◽  
Water Consumption ◽  
Water Distribution ◽  
Distribution Network ◽  
Water Distribution Network ◽  
Smart Meters ◽  
Graduate Studies ◽  
Smart Water ◽  
Water Meter

Quantifying the Mismatch in Smart Water Meter Readings in Muscat Water Distribution Network (DIAM) – Case of Oman   Ibrahim Nasser Khalifa Al-Mamari* *MBA, Middle East College Email: [email protected] Dr. Maria Teresa Matriano  Faculty/Assistant Professor, Department of Post-Graduate Studies, Middle East College, Oman Email: [email protected]   Abstract Purpose:- The study is intended to focus on quantifying the mismatch between the consumption data collected on the project site to the estimated reading generated by the system. The mismatch quantification process involves formulating a theoretical mathematical modelling using Bernoulli’s equation that will help in reducing the conflicts in mismatch of data between the actual and estimated water consumption readings.    Design / methodology / approach:- The study revolves around basic survey of different journals and articles which relates closely to the topic.There’s application of qualitative method in which the results depend on the opinion of the focus group participants. Findings:- Based on survey results and flow calculations,  the flow was compared with the actual discharge measured from the smart meters; mismatch was ensured in the actual discharge at transmission and the discharge at the distribution line at each consumer location.  The opinion of the focus group suggests to upgrade the existing system in Diam. Research limitation / Implications:- A recognizable mismatch was made that influences Diam to create estimated charging. A viable computerized water spillage checking system was consolidated to recognize and annihilate the mismatch.The are recommendations to minimize the estimation system in billing at the water supplier end; and the inclusion of a new technology to quantify the mismatch in the existing system. A SCADA based system to localize the flaw point; and the inclusion of big data analysis in the bill generation software should be implemented. Originality / value:-  There are no previous studies on mismatch quantification process in Oman, and this study would propose a system that would be helpful in finding the causes of mismatch and eradicating them. Keywords:     Diam, Distribution Network, Smart Meters, Estimated Reading, Water Consumption                    Mismatch, Numerical Modeling

scholarly journals Design and Implementation of a Self-Powered Smart Water Meter

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4177 ◽  
Author(s):  
Xue Jun Li ◽  
Peter Han Joo Chong
Keyword(s):  
Real Time ◽  
Water Flow ◽  
Smart Cities ◽  
Adaptive Signal Processing ◽  
Mobile Phone Application ◽  
Design And Implementation ◽  
Smart Water ◽  
Self Powered ◽  
Water Meters ◽  
Water Meter

Smart cities require interactive management of water supply networks and water meters play an important role in such a task. As compared to fully mechanical water meters, electromechanical water meters or fully electronic water meters can collect real-time information through automatic meter reading (AMR), which makes them more suitable for smart cities applications. In this paper, we first study the design principles of existing water meters, and then present our design and implementation of a self-powered smart water meter. The proposed water meter is based on a water turbine generator, which serves for two purposes: (i) to sense the water flow through adaptive signal processing performed on the generated voltage; and (ii) to produce electricity to charge batteries for the smart meter to function properly. In particular, we present the design considerations and implementation details. The wireless transceiver is integrated in the proposed water meter so that it can provide real-time water flow information. In addition, a mobile phone application is designed to provide a user with a convenient tool for water usage monitoring.

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