Fluid Viscosity Measuring Instrument with Internet of Things (IoT) Based Rotary Method

Hadi, Herry Sufyan; Aisyah, Putri Yeni; Arifin, Syamsul; Adziimaa, Ahmad Fauzan; Abdurrakhman, Arief

doi:10.37934/arfmts.92.1.6589

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…The validation performance is analyzed from the error value and the accuracy of the sensor comparison results with standard measuring instruments. If the error is less than 5% and the accuracy is between 90-100% then the sensor performance is good [48].…”

Section: Validation Testmentioning

confidence: 99%

Internet of things-based rice field irrigation evaporation monitoring system

Aisyah,

Widya Pratama,

Rahmadhana

et al. 2024

Bulletin EEI

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The urgency for efficient irrigation in Indonesia’s agriculture sector, particularly in paddy fields, is evident. However, existing methods for monitoring water levels are antiquated, often requiring manual measurements with a ruler. This research introduces a comprehensive “monitoring system for light intensity and water temperature as an analysis of evaporation for rice irrigation based on the internet of things”. The system integrates various sensors an anemometer for wind speed, an ultrasonic sensor for water level, a DS18B20 waterproof sensor for water temperature, and a GY-8511 sensor for sunlight intensity. All data are collected by an Arduino Mega controller, connected to an ESP32 for transmitting the readings to the Blynk app and an I2C 20×4 liquid crystal display (LCD) screen. The control mechanism employs a closed-loop system with a direct current (DC) motor actuator to operate the water gate, which can also be manually controlled via a cellphone. The system effectively meets daily evapotranspiration requirements of 1.44 mm, with optimal conditions yielding water levels of 3 cm, water temperatures of 38.53 °C, sunlight intensity of 4.59 mW/cm², and wind speed of 0.21 m/s.

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Section: Validation Testmentioning

confidence: 99%

Internet of things-based rice field irrigation evaporation monitoring system

Aisyah,

Widya Pratama,

Rahmadhana

et al. 2024

Bulletin EEI

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“…Microcontrollers are software and hardware that are used to easily and quickly control electronic projection systems [8][9] . The data processing results will be entered into the microcontroller and displayed on the LCD display; the appearance of the microcontroller measurement results can be displayed on a computer LCD, IOT, or assembled LCD [10] . Figure 1 shows an example of a measurement display.…”

Section: 𝑅𝑃𝑀 = (𝐹 × 120)/𝑃mentioning

confidence: 99%

“…Figure 1 shows an example of a measurement display. [10] With the rotation monitoring display, you can see and observe how much rotation is produced in a DC motor machine with a certain voltage and current. Monitoring the rotation of a motor can be controlled using a PWM mechanism, namely, pulse width modulation in another sense, namely pulse width modulation which regulates the strength of the incoming signal to the DC motor so as to produce changes in rotation [11][12] .…”

Section: 𝑅𝑃𝑀 = (𝐹 × 120)/𝑃mentioning

confidence: 99%

RPM Measurement Comparison Using a Thermometer and Lm393 Microcontroller

Nanda,

Karyadi,

Roban

et al. 2024

MECHTA

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RPM measurement is a crucial measurement tool for assessing a machine's rotation quality and ensuring that it meets the DC motor manufacturer's specifications. The quality of rotation of electric motors and combustion motors can both be observed through RPM measurements. The precision with which the LM393 sensor measures the rotation of a DC motor engine is the problem formulation in this study. Thus, the purpose of this study is to evaluate the rotation measurement accuracy of the LM393 Microcontroller sensor and compare it to a traditional tachometer. In order to conduct rotational variations on the DC motor, the following voltages will be applied: 0.93V, 2.83V, 4.25V, 7.05V, and 9.07V. Next, a tachometer and an LM393 microcontroller are used to measure the DC motor rotation. The gathered data will be made available for verification. Based on the measurement results, the corresponding data differences are -5.560 RPM, -1.577 RPM, -2.182 RPM, -3 RPM, and 0.334 RPM. Therefore, measurement validation was done based on the disparity in readings, yielding results of 0.252%, -1.45%, 0.12%, 0.038%, and 0.0725%. Based on validation results showing a presentation of no more than 10%, the LM393 measuring tool for DC motor RPM measurement is deemed valid and suitable for use.

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“…All sensors will be validated in the form of percent error and accuracy by comparing their readings using a calibrated measuring instrument. As for the actuator, the tests carried out are performance tests and dynamic response tests [12]. This test aims to determine whether the pump and aerator can run according to the logic test that has been designed on the microcontroller.…”

Section: Aquaponic Control System Testmentioning

confidence: 99%

Design and Control System of Acidity Degree and Dissolved Oxygen Levels in Aquaponic Systems

Aisyah,

Rofilia

2023

Proceedings of the 4th International Seminar on Science and Technology (ISST 2022)

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The inhibiting factors for plant and fish growth in aquaponics systems are farmers who never control and monitor the quality of Dissolved Oxygen (DO) levels and the degree of acidity/Power of Hydrogen (pH) of water properly. Uncontrolled and monitoring of the quality of pH and DO in water properly and periodically will have an impact on the process of nitrification and denitrification of the aquaponics system. Therefore, it is necessary to update the technology on the aquaponic to automatically maintain the DO and pH parameter to balance the ecosystem. To design a control system, a series of validations are carried out on the sensors used. The MSP340 pH sensor has an average error of 2.58% and an accuracy of 97.42%. The DO sensor SEN0237-A has an average error of 4.82% and an accuracy of 95.18%. The ultrasonic sensor has an average error of 3.14% and an accuracy of 96.86%. Based on the comparison of parameter values before and after the control system was installed, the pH value was still in the neutral pH range (6.5-8.5). While the DO value tends to be below the predetermined setpoint (1-5 mg/l). Based on the comparison of growth rates, it was found that the average plant growth rate decreased from 13.4% to 12.5% during the two weeks of the study. However, the length of the plant increases to 0.2 cm. The fish growth rate increased in the first week using a control system up to 17%, survival rate reached 100% in the second week .

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Fluid Viscosity Measuring Instrument with Internet of Things (IoT) Based Rotary Method

Cited by 6 publications

References 7 publications

Internet of things-based rice field irrigation evaporation monitoring system

Internet of things-based rice field irrigation evaporation monitoring system

RPM Measurement Comparison Using a Thermometer and Lm393 Microcontroller

Design and Control System of Acidity Degree and Dissolved Oxygen Levels in Aquaponic Systems

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