scholarly journals Water flow meter measurement uncertainties

2013 ◽  
Author(s):  
R. P. Dias ◽  
J. G. Dalfré Filho ◽  
Y. F. L. de Lucca
Keyword(s):  
Water Flow ◽  
Flow Meter ◽  
Measurement Uncertainties

scholarly journals Development of a self-rechargeable digital water flow meter

2013 ◽  
Vol 15 (3) ◽  
pp. 888-896 ◽  
Author(s):  
Songhao Wang ◽  
Ronald Garcia
Keyword(s):  
Water Flow ◽  
Water Pressure ◽  
Communication Technologies ◽  
Turbine Generator ◽  
Flow Meter ◽  
Flow Meters ◽  
Pelton Turbine ◽  
Zigbee Technology ◽  
Diameter Pipe ◽  
Water Meters

The objective of this paper is to present the feasibility of a self-rechargeable digital water flow meter (SRDFM) system for water pipes using the latest data processing and wireless communication technologies while causing negligible water pressure drop (head loss). The system uses a Pelton turbine generator to power the electronic circuit, which processes and transmits the signals generated by several flow meters. ZigBee technology was used to process and send wireless signals. Signals from two water meters were acquired, processed, and transmitted with only one control/transmission unit during this study. The new system was assessed experimentally, reaching a maximum of 80 m of wireless transmittance distance at a minimum flow rate of 5 L/min for a 16-mm diameter pipe (self-charged).

scholarly journals Observation of Water Flow in a Vortex Flow Meter by a Putting-Dye Method

1991 ◽  
Vol 11 (Supplement2) ◽  
pp. 289-294 ◽  
Author(s):  
Kyoji KAMEMOTO ◽  
Yosifumi YOKOI ◽  
Satosi SAITO ◽  
Eiji TANAKA ◽  
Yutaka OGAWA
Keyword(s):  
Water Flow ◽  
Vortex Flow ◽  
Flow Meter

scholarly journals Water consumption analysis using IoT

2021 ◽  
Vol 58 (1) ◽  
pp. 4302-4306
Author(s):  
Dr. A. Thomas Paul Roy, Dr. S. Satheesbabu, Dr. S. K. Somasundaram
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Water Flow ◽  
Water Consumption ◽  
Water Pipe ◽  
Flow Meter ◽  
Flow Sensors ◽  
Index Terms ◽  
Visual Organization ◽  
Minimal Effort

Water is a fundamental asset for people, and its administration is a central point of contention. To conserve water, this system improves the expanded use of water. Internet of things is arrangement of interrelated processing gadgets, computing entities, vehicles, home machines and different things installed with electronic chips and sensors. The system is planned utilizing Nodemcu, ESP8266 and sensors. ESP8266, which is a less cost cloud microchip. This framework will comprise of a water pipe with water flow meter associated with it and a Nodemcu board and ESP8266 associated with it. First we utilize a water flow meter and gather the information as water moves through it.ESP8266 Wi-Fi module is a minimal effort CPU that gathers and sends the data to the cloud. We utilize the Nodemcu to arrange between water flow meter and the ESP 8266 module and afterward utilize the Thing speak Internet of things investigation stage to break down and show the information in visual organization. The yield of this system will be utilized for checking the water and it tends to be shown visually through the graph. The venture can be fundamentally valuable for household and agricultural purposes as it assists with limiting the loss of water.. Index Terms: Internet of Things (IoT), Embedded systems, Wi-Fi module, water flow Sensors.

Design of IPv6 Network enabled Smart Water Flow Meter System for India

10.7125/40.17 ◽  
2015 ◽  
Vol 40 (0) ◽  
pp. 114
Author(s):  
Ankith S ◽  
Anjana S ◽  
Sahana M N ◽  
Praneeta Mallela ◽  
Natarajan K ◽  
...  
Keyword(s):  
Water Flow ◽  
Flow Meter ◽  
Smart Water ◽  
Ipv6 Network

A recording water-flow meter

1940 ◽  
Vol 17 (4) ◽  
pp. 93-94 ◽  
Author(s):  
E C Childs
Keyword(s):  
Water Flow ◽  
Flow Meter

In-Situ Resistance Coefficient Curve and Experimental Analysis of a Virtual Chilled Water Flow Meter at Air Handling Unit Level

2012 ◽  
Author(s):  
Li Song ◽  
Gang Wang ◽  
Atul Swamy ◽  
Gyujin Shim
Keyword(s):  
Water Flow ◽  
Flow Rate ◽  
Water Flow Rate ◽  
Control Valve ◽  
Resistance Coefficient ◽  
Flow Meter ◽  
Control Valves ◽  
Air Handling Unit ◽  
Cooling Coils

In this paper, a virtual Air handling unit (AHU) level water flow meter using a control valve as a measurement device is experimentally validated through two different sizes of control valves on cooling coils. The flow through the valve is indirectly calculated using in-situ valve resistance coefficient curve, differential pressure over both the valve and its associated coil and valve stem positions. It was concluded in previous studies that the in-situ valve resistance coefficient curve is critical for determining the accuracy of the virtual valve flow meter. In this paper, an experimental approach and a theoretical approach of obtaining the in-situ valve resistance coefficient curve are introduced and as a result, accuracy of the virtual valve flow meters, using two different sizes of control valves: a smaller valve with design water flow rate of 25GPM and a larger valve with design water flow rate of 300GPM, is compared with an ultrasonic meter. The comparison show less than 4% of error over the full measurement range.

Modeling of the Heat Loss in a Thermal Sensor for Water Made of NTC Thick Film Segmented Thermistors

2013 ◽  
Vol 543 ◽  
pp. 334-337 ◽  
Author(s):  
Miloljub D. Lukovic ◽  
Maria Vesna Nikolic ◽  
Branka M. Radojcic ◽  
Obrad S. Aleksić
Keyword(s):  
Water Temperature ◽  
Thick Film ◽  
Heat Loss ◽  
Water Flow ◽  
Heat Balance ◽  
Heating Temperature ◽  
Balance Equations ◽  
Flow Meter ◽  
Exponential Factor ◽  
Self Heating

NTC thick film segmented thermistors were realized by screen printing of a low resistivity paste and conductive PdAg paste printed for electrodes. Two thick film thermistors as thermal sensors were placed in plastic tube housing connected to the water mains to form a calorimetric type of flow-meter, e.g. to measure the input water temperature and the thermistor self-heating temperature. Range constant voltage (RCV) was applied for self-heating thermistor power supply in different ranges of input water temperature. Modeling of the heat loss in the flow-meter for water was derived from heat balance equations for a self-heated thermistor in static water and in water flow conditions (static and dynamic thermistor temperature). Both temperatures (static and dynamic) were related to self-heating currents. The input water temperature was measured independently by a cold thermistor. Other parameters such as water thermal conductivity, thermistor exponential factor B and nominal thermistor resistance at room temperature were included in the thermistor heat balance equations. The logarithmic behavior of self-heating thermistors in the water flow enable modeling of heat loss as a function of static and dynamic currents related to static and dynamic thermistor temperatures. The model achieved was used in the fitting procedure of measured data of the flow-meter response.

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