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

Olisa, Samuel Chukwuemeka; Asiegbu, Nnaemeka Christopher; Olisa, Juliet E.; Ekengwu, Bonaventure Onyekachi; Shittu, A. A.; Eze, Martin C.

doi:10.1016/j.heliyon.2021.e07651

Cited by 23 publications

(21 citation statements)

References 24 publications

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“…In this unit, we have introduced a method to calibrate the water level sensor to work reliably with high precision and smooth reading measurements for the grower, allowing effective process control with the best chance of running smoothly and safely getting reasonable control of soil irrigation. Contrary to the authors [31] and [32].…”

Section: Proposed Calibration Of the Water Levelcontrasting

confidence: 63%

“…The use of wireless sensor networks in designing an autonomous plant Smart Irrigation System results in irrigation settings that can be automatically controlled [26][27][28][29][30]. To detect the desired parameter, a water level sensor was employed in this study, and a real-time water level monitoring system was constructed and installed, was used the HC-SR04 sensor to detect the water level [31][32][33][34]. Considering those mentioned above, to solve these problems, we have developed a Smart Irrigation System, which uses the latest technology to facilitate the watering process and decrease the cost of irrigation.…”

Section: Introductionmentioning

confidence: 99%

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High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Morchid

Qjidaa

Jamil³

et al. 2022

Preprint

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Agricultural activity is the most important economy in Morocco, and in the world, because it is the only source of food security. This activity faces a real threat due to the climatic changes and the inappropriate use of irrigation, which threatens the life of many people in Morocco and North Africa. In order to meet the increasing demand for water for agriculture, we must consider alternative techniques to rationalize this rare and vital substance. This paper proposes a "Smart Irrigation System" based on the internet of things (IoT) and cloud computing to supervise in real-time and wirelessly the environmental parameters such as temperature, humidity, moisture, and water level in a smart agricultural. This system uses as techniques special sensors (DHT22, water level sensor, moisture sensor) wired to a popular control board ESP32. As communication between the device and the user, the apparatus uses a ThingSpeak platform on the network. The ESP32 controller is also connected to a water sprinkler irrigating the soil and a water pump for recharging the tank when it runs dry. Based on the values of different environmental parameters, the water pump is automatically controlled. The data collected by the sensors is communicated in real-time to the ThingSpeak platform and the ThingView app. This will allow the farmer to see all of the farm's data from afar and from any location, allowing him to irrigate the crops more accurately and increase production. On the other side, we will present a mathematical function to calibrate the water level sensor by a percentage, a function called linear interpolation. In this system, the soil is irrigated as needed and accurately, and this will reduce water consumption by a very important percentage of more than 70 percent, unlike traditional irrigation, which drains the water bed and drowns agricultural crops.

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Section: Proposed Calibration Of the Water Levelcontrasting

confidence: 63%

Section: Introductionmentioning

confidence: 99%

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

Morchid

Qjidaa

Jamil³

et al. 2022

Preprint

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“…The HCSR04 sensor was used for its great precision, reaching 3 mm. 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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“…Intrusion into sensor data communication across wireless networks, though, must be avoided. In [ 20 ], researchers developed an Android application with an interface to monitor a home dual-tank system using LoRaWAN. It consisted of a water pump, ultrasonic sensor, and several devices to allow the user to monitor the water quality.…”

Section: Introductionmentioning

confidence: 99%

“…However, the ultrasonic sensory reliability was not sufficient. The authors in [ 20 ] used communication, and those in [ 21 ] used cellular communication. Their proposed system depended on integrating the IoT with sensors that also collected data on rain and water temperature.…”

Section: Introductionmentioning

confidence: 99%

LoRaWAN Performance Analysis for a Water Monitoring and Leakage Detection System in a Housing Complex

Ghamdi

Khairullah

Mojamed

2022

Sensors

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The automation of water leakage detection and monitoring systems has recently been made possible by the Internet of Things (IoT). However, the high cost is an obstacle when applying a network over a large area. The Low-Power Wide-Area Network (LPWAN) was created specifically to address long-range IoT applications. The Long-Range Wide-Area Network (LoRaWAN) is one of the most common LPWANs. In this study, a method for monitoring and detecting water leakage in a housing complex was tested using LoRaWAN. Water leakage was detected using a low-pressure system model comprising a water meter, presser sensor, and smart valve within a LoRa node. This study investigates the use of LoRaWAN for water monitoring and leakage detection by implementing a comprehensive case study to identify LoRaWAN’s feasibility, reliability, and scalability for water monitoring and leakage detection in simulated scenarios. The housing complex varied in size and number of nodes. The LoRaWAN was evaluated by the FloRa simulator package through the Objective Modular Network Testbed (OMNeT++) platform. The results indicated that it was an efficient means of water monitoring and leakage detection in housing complexes.

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

Cited by 23 publications

References 24 publications

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

High-technology agriculture using the internet of things and cloud computing for an efficient Smart Irrigation System

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

LoRaWAN Performance Analysis for a Water Monitoring and Leakage Detection System in a Housing Complex

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