Student enabled water quality sensors

2010 ◽  
Author(s):  
L Hotaling ◽  
R Stolkin ◽  
W Kirkey ◽  
S Lowes ◽  
P Chen ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Sensors

SENSE IT - student created water quality sensors

2011 ◽  
Author(s):  
L. Hotaling ◽  
R. Stolkin ◽  
S. Lowes ◽  
P. Chen ◽  
J. Bonner ◽  
...  
Keyword(s):  
Water Quality ◽  
Water Quality Sensors

Predicting high‐frequency variation in stream solute concentrations with water quality sensors and machine learning

2020 ◽  
Author(s):  
Mark B. Green ◽  
Linda H. Pardo ◽  
Scott W. Bailey ◽  
John L. Campbell ◽  
William H. McDowell ◽  
...  
Keyword(s):  
Machine Learning ◽  
Water Quality ◽  
High Frequency ◽  
Frequency Variation ◽  
Water Quality Sensors

Contamination event detection using multiple types of conventional water quality sensors in source water

2014 ◽  
Vol 16 (8) ◽  
pp. 2028-2038 ◽  
Author(s):  
Shuming Liu ◽  
Han Che ◽  
Kate Smith ◽  
Lei Chen
Keyword(s):  
Water Quality ◽  
Event Detection ◽  
Source Water ◽  
Contamination Event ◽  
Water Quality Sensors ◽  
Correlative Relationship

A correlative relationship between multiple types of conventional sensors can be used to detect a contamination event.

scholarly journals Komunikasi Data Berbasis Protokol UDP pada Sistem Ubiquitous Mobile Sensing Kualitas Sumber Air

2016 ◽  
Vol 10 (2) ◽  
pp. 219
Author(s):  
Yuning Widiarti Darsono ◽  
Adianto Adianto ◽  
Mirna Apriani
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Mobile Phones ◽  
Data Communication ◽  
Mobile Sensing ◽  
Time Data ◽  
Climate Change And Variability ◽  
Rapid Spread ◽  
Types Of Information ◽  
Water Quality Sensors

The need for monitoring, effective and efficient control and evaluation of water quality in regional waters Surabaya become a demand for population growth, climate change and variability in the current era of urbanization. The traditional method is done by collecting water samples, test and analyze water in the laboratory has been relatively expensive and do not have the ability to capture real-time data, analysis and information delivery fast in making decisions. On the other hand, the rapid spread in the use of mobile phones in developing countries has increased mobile data management applications. A variety of mobile applications has also increased in recent years. This is because mobile phones cheap, easy to use and can transmit multiple types of information including images and GPS data remotely. In this paper, the author describes a data communication system of  water quality resources based on UDP protocol. This system is called ubiquitous mobile sensing consisting of microcontroller Arduino, water quality sensors, and Android smartphones. It has the ability to detect temperature, dissolved oxygen (DO), pH and electrical conductivity (EC) in real time. By using this monitoring system, the data result is expected more accurate, faster and cheaper.

scholarly journals Prognosis of Water Quality Sensors Using Advanced Data Analytics: Application to the Barcelona Drinking Water Network

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1342 ◽  
Author(s):  
Diego Garcia ◽  
Vicenç Puig ◽  
Joseba Quevedo
Keyword(s):  
Water Quality ◽  
Distribution System ◽  
Data Analytics ◽  
Water Distribution ◽  
Discrete Event ◽  
Spatial Models ◽  
Remaining Useful Life ◽  
Health State ◽  
Using Data ◽  
Water Quality Sensors

Water Utilities (WU) are responsible for supplying water for residential, commercial and industrial use guaranteeing the sanitary and quality standards established by different regulations. To assure the satisfaction of such standards a set of quality sensors that monitor continuously the Water Distribution System (WDS) are used. Unfortunately, those sensors require continuous maintenance in order to guarantee their right and reliable operation. In order to program the maintenance of those sensors taking into account the health state of the sensor, a prognosis system should be deployed. Moreover, before proceeding with the prognosis of the sensors, the data provided with those sensors should be validated using data from other sensors and models. This paper provides an advanced data analytics framework that will allow us to diagnose water quality sensor faults and to detect water quality events. Moreover, a data-driven prognosis module will be able to assess the sensitivity degradation of the chlorine sensors estimating the remaining useful life (RUL), taking into account uncertainty quantification, that allows us to program the maintenance actions based on the state of health of sensors instead on a regular basis. The fault and event detection module is based on a methodology that combines time and spatial models obtained from historical data that are integrated with a discrete-event system and are able to distinguish between a quality event or a sensor fault. The prognosis module analyses the quality sensor time series forecasting the degradation and therefore providing a predictive maintenance plan avoiding unsafe situations in the WDS.

scholarly journals Fieldwork-based determination of design priorities for point-of-use drinking water quality sensors for use in resource-limited environments

PLoS ONE ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. e0228140
Author(s):  
Michael S. Bono ◽  
Sydney Beasley ◽  
Emily Hanhauser ◽  
A. John Hart ◽  
Rohit Karnik ◽  
...  
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Drinking Water Quality ◽  
Point Of Use ◽  
Resource Limited ◽  
Water Quality Sensors
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