Soft Water Tank Level Monitoring System Using Ultrasonic HC-SR04 Sensor Based On ATMega 328 Microcontroller

Hidayat, M. Reza; Sambasri, Susanto; Fitriansyah, Firman; Charisma, Atik; Iskandar, Handoko Rusiana

doi:10.1109/icwt47785.2019.8978229

Cited by 14 publications

(13 citation statements)

References 5 publications

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“…A pre-set percentage range of the sensors was used to manipulate the pump's operation through the regulating valves. In this work [ 14 ], a configured monitoring system was discussed based on ATMega 328 microcontroller to replace the level stick sensor used in beverage industries to monitor the water level in water tanks. Non-contact water level monitoring system was implemented using LabVIEW and Arduino in [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Smart two-tank water quality and level detection system via IoT

Olisa

Asiegbu

Olisa

et al. 2021

Heliyon

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Section: Introductionmentioning

confidence: 99%

Smart two-tank water quality and level detection system via IoT

Olisa

Asiegbu

Olisa

et al. 2021

Heliyon

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“…The hardware is useful for obtaining scale measurements in real-time, such as the Raspberry Pi minicomputer and HCSR04, DS18B20 sensors, compatible with the proposed tool. Other studies related to management and monitoring fluid tank measurements used the same ultrasonic sensor but compatible microcontrollers like ATMega328 [38] and ATMega16 [52]. It should be noted that the SAM hardware platform is a minicomputer with important features such as GPIO pins, handles large amounts of data processing and storage, internet connection and input and output peripherals, unlike microcontrollers that have low processing capacity.…”

Section: Discussionmentioning

confidence: 99%

“…It is an ultrasonic proximity sensor (an approximation range of 0.02 to 4 meters without contact) [35]. That allows measuring the storage tank fluid level using the proximity from the sensor to the surface of the liquid [36][37][38].…”

Section: Figure 2 Computer System Architecturementioning

confidence: 99%

Fluid Level Measurement System in Oil Storage. Python, Lab-Based Scale

Escandón-Panchana¹,

Morante-Carballo²,

Herrera-Franco³

et al. 2022

MMEP

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Refineries, fuel depots, airports and storage terminals commonly use fluid level measurement in storage tanks. Different fluid level measurement techniques and devices differ in the inaccuracy of measurement results, costs, and company needs. In addition, these measurements seek reliability of measurement data, immediate response times, control in operations, oil movement, custody transfer and inventory control. The objective is to develop a computer system for measuring fluid levels in oil storage tanks, using ultrasonic and temperature sensors, creating a web application for an automated measurement system (SAM) for managing volumes of Petroleum. The study methodology is i) Analysis of measurement reports. ii) Selection of physical components of the computer system. iii) SAM algorithm design and web application, and iv) Validate the system. The SAM application developed in open source proposes functional modules for administration, control, security, management and monitoring of storage tanks, the status of physical components and generation of dynamic reports in real-time. The results show the control characteristics of storage tanks such as maximum and minimum volume, temperature, time, precise data records in less time than certain current computer structures.

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“…From my point of view, this scenario manifests itself due to the conditions and processes to which the ultrasonic sensor and the Arduino controller are being subjected, since it can change in other contexts. Thus, in the analysis of the results, an almost linear behavior is obtained between the variables under analysis (tank filling level and transducer response voltage), in this regard, in [19], [28], [33] and [34] they point out that it is optimal to apply devices such as the Arduino controller to a filling level control system, because they show a linear behavior in their processed data. They do not specify the determining factor of the curvilinear estimate, however they do require that its implementation and assembly were optimal, and these appraisals coincide with the findings obtained in my research, since my determination factor turned out to be 0.997, for a curvilinear estimate.…”

Section: B Discussionmentioning

confidence: 99%