Pipe crack early warning for burst prevention by permanent acoustic noise level monitoring in smart water networks

2020 ◽  
Vol 17 (9) ◽  
pp. 827-837
Author(s):  
Chi Zhang ◽  
Martin F. Lambert ◽  
Mark L. Stephens ◽  
Jinzhe Gong ◽  
Benjamin S. Cazzolato
Keyword(s):  
Early Warning ◽  
Noise Level ◽  
Acoustic Noise ◽  
Water Networks ◽  
Smart Water ◽  
Level Monitoring

AUTOMATIC WATER LEVEL MONITORING WITH IOT AND LPWAN

2019 ◽  
pp. 95-103
Author(s):  
Krum Videnov ◽  
Vanya Stoykova
Keyword(s):  
Water Level ◽  
Real Time ◽  
Early Warning ◽  
Water Sources ◽  
Water Levels ◽  
Water Level Fluctuations ◽  
Level Monitoring ◽  
Water Level Monitoring

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.

scholarly journals Characterization of Noise Level Inside a Vehicle under Different Conditions

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2471 ◽  
Author(s):  
Daniel Flor ◽  
Danilo Pena ◽  
Luan Pena ◽  
Vicente A. de Sousa ◽  
Allan Martins
Keyword(s):  
Regression Analysis ◽  
Noise Level ◽  
Acoustic Noise ◽  
Experimental Setup ◽  
Strongly Correlated ◽  
Noise Levels ◽  
Noise Sources ◽  
Statistical Tools ◽  
Window Position

Vehicular acoustic noise evaluations are a concern of researchers due to health and comfort effects on humans and are fundamental for anyone interested in mitigating audio noise. This paper focuses on the evaluation of the noise level inside a vehicle by using statistical tools. First, an experimental setup was developed with microphones and a microcomputer located strategically on the car’s panel, and measurements were carried out with different conditions such as car window position, rain, traffic, and car speed. Regression analysis was performed to evaluate the similarity of the noise level from those conditions. Thus, we were able to discuss the relevance of the variables that contribute to the noise level inside a car. Finally, our results revealed that the car speed is strongly correlated to interior noise levels, suggesting the most relevant noise sources are in the vehicle itself.

scholarly journals Cyber-Physical Systems for Smart Water Networks: A Review

2021 ◽  
pp. 1-1
Author(s):  
Jyotirmoy Bhardwaj ◽  
Joshin P. Krishnan ◽  
Diego F. Larios Marin ◽  
Baltasar B. Lozano ◽  
Linga R. Cenkeramaddi ◽  
...  
Keyword(s):  
Cyber Physical Systems ◽  
Water Networks ◽  
Physical Systems ◽  
Smart Water

scholarly journals Adaptive Compressive Sensing in Smart Water Networks

2015 ◽  
Author(s):  
Sokratis Kartakis ◽  
George Tzagkarakis ◽  
Julie McCann
Keyword(s):  
Compressive Sensing ◽  
Water Networks ◽  
Smart Water

The power of smart water networks

2013 ◽  
Vol 105 (3) ◽  
pp. 72-77 ◽  
Author(s):  
Colin Walsby
Keyword(s):  
Water Networks ◽  
Smart Water

Smart Water Level Monitoring System for Farmers

2019 ◽  
pp. 213-228
Author(s):  
Nalina Suresh ◽  
Valerianus Hashiyana ◽  
Victor Panduleni Kulula ◽  
Shreekanth Thotappa
Keyword(s):  
Water Level ◽  
Monitoring System ◽  
Cost Effective ◽  
Weather Conditions ◽  
Water Levels ◽  
Measurement Systems ◽  
Smart Water ◽  
Level Measurement ◽  
Level Monitoring ◽  
Water Level Monitoring

With advancement in technology and ever-changing weather conditions, accurate and affordable water level measurement systems has become necessary for farmers. This therefore brings about the need for a system incorporating the use of IoT technology that will monitor water levels at a cost-effective price with accurate and dependable results. The prototype will monitor water levels on a regular basis and the data captured will be stored in a database to help farmers improve the way they manage their water resource. Farmers will be able to monitor the water levels from any location at any given time. This chapter focuses on a Smart Water Level Monitoring System for Farmers and provides a smart way to manage water resources on farms in the most cost-effective and convenient manner for farmers.

scholarly journals Decision Support System for Cyber Attack Diagnosis in Smart Water Networks

2019 ◽  
Vol 51 (34) ◽  
pp. 329-334
Author(s):  
Marcos Quiñones-Grueiro ◽  
Alberto Prieto-Moreno ◽  
Cristina Verde ◽  
Orestes Llanes-Santiago
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Cyber Attack ◽  
Water Networks ◽  
Smart Water

scholarly journals Divide and Conquer Partitioning Techniques for Smart Water Networks

2014 ◽  
Vol 89 ◽  
pp. 1176-1183 ◽  
Author(s):  
A. Di Nardo ◽  
M. Di Natale ◽  
G.F. Santonastaso ◽  
V. Tzatchkov ◽  
V.H. Alcocer Yamanaka
Keyword(s):  
Divide And Conquer ◽  
Water Networks ◽  
Smart Water

scholarly journals On-line Measuring Sensors for Smart Water Network Monitoring

10.29007/4fcr ◽  
2018 ◽  
Author(s):  
Armando Di Nardo ◽  
David Baquero Gonzalez ◽  
Tom Baur ◽  
Romeo Bernini ◽  
Sergio Bodini ◽  
...  
Keyword(s):  
Smart Cities ◽  
Information And Communications Technology ◽  
Divide And Conquer ◽  
Water Networks ◽  
Water Sector ◽  
Water Network ◽  
Network Efficiency ◽  
Smart Meters ◽  
Smart Water ◽  
On Line

Smart cities are getting essential to drive economic growth, increase social prospects and improve high-quality lifestyle for citizens. To meet the goal of smart cities, Information and Communications Technology (ICT) have a key role. The application of smart solutions will allow the cities to use ICT and big data to improve infrastructure and services (i.e. network efficiency, protection from contamination, etc.). In the water sector, the integration of smart meters and sensors coupled with cloud computing and the paradigm of “divide and conquer” introduces a novel and smart management of the water network allowing an efficient online monitoring and transforming the traditional water networks into modern Smart WAter Networks (SWAN). The Ctrl+SWAN (Cloud Technologies & ReaL time monitoring+Smart WAter Network) Action Group (AG) was created within the European Innovation Partnership on Water, in order to promote innovation in the water sector by advancing existing smart solutions. The paper presents an update of a previous work on the state of the art on the best On-line Measuring Sensors (OMS) already available on the market and innovative technologies in the Research and Development (R&D) phases.

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