An electrode polarization impedance based flow sensor for low water flow measurement

2013 ◽  
Vol 24 (6) ◽  
pp. 067002 ◽  
Author(s):  
Tinghu Yan ◽  
Darko Sabic

Water flow measurement is very important in some specific applications like water craft, house hold applications, submarine and etc, in some applications renewable energy is used as source because it is pollution free and easily available, Solar panel yield is not sufficient to drive induction motor due to irregular temperature and irradiance, solar panel production improved by boost converter to control by using MPPT Controller, MPPT Controller controlled by different algorithms in that P&O Algorithm is design to maintain constant voltage, induction motor require AC supply but boost converter gives DC supply, to convert DC to AC by using IGBT inverter, water pump is connected to the induction motor through flow sensor, inverter firing angle control PWM technique, that PWM controller design by DSPIC30F4011,flow measurement by yfs201 flow sensor is used, result compare by Software and hardware Keywords: Induction motor, MPPT Controller, Water Pump, Flow Sensor


Author(s):  
Anatoly Kusher

The reliability of water flow measurement in irrigational canals depends on the measurement method and design features of the flow-measuring structure and the upstream flow velocity profile. The flow velocity profile is a function of the channel geometry and wall roughness. The article presents the study results of the influence of the upstream flow velocity profile on the discharge measurement accuracy. For this, the physical and numerical modeling of two structures was carried out: a critical depth flume and a hydrometric overfall in a rectangular channel. According to the data of numerical simulation of the critical depth flume with a uniform and parabolic (1/7) velocity profile in the upstream channel, the values of water discharge differ very little from the experimental values in the laboratory model with a similar geometry (δ < 2 %). In contrast to the critical depth flume, a change in the velocity profile only due to an increase in the height of the bottom roughness by 3 mm causes a decrease of the overfall discharge coefficient by 4…5 %. According to the results of the numerical and physical modeling, it was found that an increase of backwater by hydrometric structure reduces the influence of the upstream flow velocity profile and increases the reliability of water flow measurements.


This study developed an automated machine that automatically controls the feeding routine of fish by checking four parameters that will serve as a prerequisite before dispensing the required amount of commercial feeds. The parameters to be checked are time, precipitation, the water temperature of the pond, and behavior of the fishes. The machine is also capable of notifying the owner or caretaker via text message if fishes have been fed successfully or not and if the level of the feeds is low. The machine utilizes sensors, namely a raindrop sensor, temperature sensor, and water flow sensor in which data are gathered through the aid of a microcontroller. After undergoing several trials, it was revealed that the fish feeding machine was able to implement the capabilities of the manual process of feeding done by a fish farmer. It also dispensed the required weight of feeds on time after satisfying the parameters. The machine was also reliable in terms of sending notifications to the owner through text message since results convey that they were received within 10 seconds if the signal is fine.


2021 ◽  
Vol 2111 (1) ◽  
pp. 012024
Author(s):  
Efrizon ◽  
M. Irmansyah ◽  
Era Madona ◽  
N Anggara ◽  
Yultrisna

Abstract The purpose of this study is to create a prepaid PDAM clean water distribution system using a microcontroller based on the Internet of Things (IoT). The hardware used to realize the system consists of ultrasonic sensors, water flow sensors, relays, LCD buzzers and Arduino. ESP 8266 01 for delivery to the Thingspeak app. From the test results obtained HC-SR04 ultrasonic sensor reading error occurs when the water level is low and too high, the maximum measurable water level is 95%. When calculating the comparison between the water discharge that is read by the sensor and that measured by the measuring cup, the results are always not the same. The error when testing the water flow sensor at the water level is less than 49% this is influenced by the speed of the water fired by the pump, where the pump will be under low pressure when the water level is below that value. The system can monitor data readings from the water flow sensor using the ESP8266 monitored on the thinkspeak web server using a smartphone. Overall the tool can function well.


Author(s):  
Alejandro Ibarz ◽  
Gerald Bauer ◽  
Roberto Casas ◽  
Alvaro Marco ◽  
Paul Lukowicz

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