Dependence of hall effect flow sensor frequency on the attached inlet and outlet pipe size

Lalnunthari, J.; Thanga, H. H.

doi:10.1109/icce-asia.2017.8307842

Cited by 10 publications

(8 citation statements)

References 2 publications

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“…Sensor ini memiliki keakuratan yang baik karena frekuensi pulsa Hall Effect memiliki hubungan linier dengan jumlah (volume) fluida yang melintasi penampang sensor sehingga memungkinkan flowsensor untuk digunakan dalam tujuan pengukuran akurasi dan presisi tinggi. Gambar 3 merupakan bentuk dari flowsensor YF-S201 (Lalnunthari & Thanga, 2018 Dari Gambar 4 dan Tabel 2 diketahui bahwa karakteristik frekuensi yang dihasilkan flowsensor linear terhadap jumlah fluida yang lewat.…”

Section: Flow Sensor Yf-s201unclassified

Analisis Kontrol Aliran Fluida Bervikositas Tinggi dengan Sensor Flow YF-S201 pada Otomatisasi Dispenser Minyak Goreng

Supriyanto

2021

JTT

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The purpose of Automation system on the Hygenist Automatic Frying Oil Dispenser making is to assist the frying oil sellers or suppliers in measuring the oil accurately and minimize the frying oil contamination. The dispenser is designed using pump and flowsensor to measure the frying oil pumped out. Electric valve or faucet is used to prevent contamination of the oil as the substitute of manual faucet. This study is focused on designing and making automation system on the frying oil dispenser, measuring time and volume accuracy of dispenser. Dispensers can be moved, capable of accommodating 50 Kg of oil and have a choice of two quantities; 500ml and 250ml. As a result, flowsensor reading shows the same average frequency of 25 Hz and 35 Hz for filling 250 mL oil and 500 mL respectively. Time consumption for pumping 250 mL and 500 mL oil out from the dispenser is 8.85 s and 15,3 s respectively. Using delay program, the oil pumped out for 250 mL and 500 mL target volume need 5.75 s and 12 s delay time.

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Section: Flow Sensor Yf-s201unclassified

Analisis Kontrol Aliran Fluida Bervikositas Tinggi dengan Sensor Flow YF-S201 pada Otomatisasi Dispenser Minyak Goreng

Supriyanto

2021

JTT

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“…Our focus went on low-cost sensors that are easily available yet having considerably good accuracy. Researches [46,47,48,49,50] used a YF-S201 low-cost, low-power, water-flow sensor that is based on Hall-Effect. As illustrated in Figure 2.11, sensors have the little pinwheel with an attached magnet to it, and Hall Effect transducer, when water is passing through the sensor, the pinwheel starts to spin, triggering the Hall transducer, which examines the rotations of the pinwheel.…”

Section: Water-flow Sensormentioning

confidence: 99%

“…Each pulse is approximately 2.25 milliliters. [46,47]. YF-S201 sensor that was used in mentioned references can measure 1 to 30L per minute with maximum water pressure of 2.0MPa [47].…”

Section: Water-flow Sensormentioning

confidence: 99%

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Building Appliances Energy Performance Assessment

Jasiunas

Ferreira

Cecílio

2021

Communications in Computer and Information Science

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Conjunto de dados de consumo de energia de eletrodomésticos: Os dados recolhidos podem ser usados para futura investigação científica sobre o consumo de consumo de energia, padrões de uso de energia pelos eletrodomésticos e classificação dos mesmos.Abordagem de computação na borda (Edge Computing): O sistema de monitorização proposto explora o paradigma de computação na borda, onde parte da computação de preparação de dados é executada na borda, libertando recursos da nuvem para cálculos essenciais e que necessitem de mais poder computacional.Classificação precisa de dispositivos em tempo real: Com a proposta desenhada nesta tese, podemos classificar os dispositivos com alta precisão, usando os dados recolhidos pelo sistema de monitorização desenvolvido na tese. A abordagem proposta consegue classificar os dispositivos, que são monitorizados, com baixas taxas de falsos positivos.Para fácil compreensão do trabalho desenvolvido nesta tese, de seguida descreve-se a organização do documento. O Capítulo 1 apresenta o problema do consumo de energia na União Europeia e discute o aumento do consumo da mesma. O capítulo apresenta também os principais objetivos e contribuições do trabalho.No Capítulo 2 revê-se o trabalho relacionado em termos de sistema de monitorização remota, que inclui sensores, microcontroladores, processamento e filtragem de sinal. Por fim, este capítulo revê os trabalhos existentes na literatura relacionados com o problema de classificação de dispositivos usando abordagens de machine learning.No Capítulo 3 discutem-se os requisitos do sistema e o projeto de arquitetura conceitual do sistema. Neste capítulo é proposta uma solução de hardware, bem como, o software e firmware necessários à sua operação. Os algoritmos de machine learning necessários à classificação são também discutidos, em termos de configurações necessárias e adequadas ao problema que queremos resolver nesta tese.O Capítulo 4 representa a implementação de um protótipo que servirá de prova de conceito dos mecanismos discutidos no Capítulo 3. Neste capítulo discute-se também a forma de integração do protótipo na plataforma SATO. Com base na implementação feita, no Capítulo 5 especificam-se um conjunto de testes funcionais que permitem avaliar o desempenho da solução proposta e discutem-se os resultados obtidos a partir desses testes. Por fim, o Capítulo 6 apresenta as conclusões e o trabalho futuro que poderá ser desenvolvido partindo da solução atual.

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“…The intelligent sensor system proposed allows the motor to continue working even when one of the Hall sensors is damaged and not working. Lalnunthari et al [11] present an interface between the Hall Effect flow sensor with Arduino to study the effect of pipe size on the frequency and rate of flow of the sensor. Hall Effect flow sensor is found to be largely affected by the attached pipe size at the inlet.…”

Section: Fig 1: Hall Effect Sensors Used In An Automotive Systemmentioning

confidence: 99%

Application of Hall Effect Sensor in temperature control valve of automotive Internal Combustion Engine

Bressan¹,

Costa²

2019

IJAERS

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The growing demand for new technological solutions in automobiles, often to replace mechanical with electromechanical solutions, seeks better system controls to improve fuel economy and reduce pollutant emissions, while also improving the comfort and safety of vehicle users. With the recent advances in microelectronics, many sensors are being used in unexpected applications, an example of which is the Hall Effect Sensor, which is increasingly used in vehicles due to its ease of application. The contribution of this work is the development of a temperature control valve (TCV) that replaces the thermostatic valve with a more accurate temperature control system, using a Hall Effect Sensor to control the flow of the engine cooling fluid. The implementation of the Hall Effect Sensor enables new functionality to the TCV, which previously had just two operative states (On and Off). In this way, it is possible to improve the temperature control of the combustion engine.

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Dependence of hall effect flow sensor frequency on the attached inlet and outlet pipe size

Cited by 10 publications

References 2 publications

Analisis Kontrol Aliran Fluida Bervikositas Tinggi dengan Sensor Flow YF-S201 pada Otomatisasi Dispenser Minyak Goreng

Analisis Kontrol Aliran Fluida Bervikositas Tinggi dengan Sensor Flow YF-S201 pada Otomatisasi Dispenser Minyak Goreng

Building Appliances Energy Performance Assessment

Application of Hall Effect Sensor in temperature control valve of automotive Internal Combustion Engine

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