Water Level Monitoring System Research Articles

Design and Implementation of an IoT-Based Water Level Monitoring System with Automated Pump Control and Real-Time Notifications

Design and Implementation of an IoT-Based Water Level Monitoring System with Automated Pump Control and Real-Time Notifications

Internet of Things (IoT) Driven Water Management System for Efficient Level Control

Water is an essential and valuable resource in daily life, making its conservation crucial to prevent adverse effects. Storing water for domestic, industrial, agricultural, and other purposes is particularly important. Safe drinking water is increasingly becoming polluted due to the growing population and their demands for urbanization and industrialization. At the household level, some people leave electric water pumps running and either go to work or sleep, forgetting to turn off the pumps when the water container is full. This highlights the need for a reliable and continuous water supply. IoT plays a significant role in environmental monitoring, particularly in disaster management, early warning systems, and environmental data analytics. One major challenge in urban cities is water management, especially with the rapid growth of urbanization, necessitating sustainable urban development plans. To address these issues, we propose a "Water Level Monitoring System" solution. This paper presents an IoT-based water monitoring system for real-time applications. The system's sensors measure the water level in the tank, and the data is sent to a cloud server, allowing users to view it on a remote dashboard. This system can be used efficiently by both homeowners and industrial users, as well as other water utilities.

Real-time Water Level Monitoring System in Oriental Mindoro Using Neural Networks

Oriental Mindoro faced an environmental problem that was caused by the massive rains from the highlands of the city. The lowlands cannot prepare for the upcoming floods with manual prediction and based on instinct. A water monitoring level was setup in three different rivers that end the streams in the city of Oriental Mindoro. This study focuses on the development of a real-time water level monitoring system to help with disaster preparedness in Oriental Mindoro. The dataset collected was from the provincial government, which shows the diversity of data that can be correlated to predict if a flash flood will occur. The dataset was tested using different algorithms such as Gradient Boosted Tree, SVM, Decision Tree, and Neural Networks. The prediction of the Neural Network model’s accuracy is 98.61%, which is 0.6 percentage points higher than the Gradient Boosted Tree and more than the rest of the algorithms.

Eco-Flow: Water Management System Using UV Sterilization

Abstract: In our contemporary world, the accessibility of clean and potable water is a pervasive issue, particularly in residential complexes and apartment buildings where shared waterstorage facilities pose a significant challenge. The lack of awareness and diligence in maintaining these communal tanks exposes residents to waterborne diseases. The current hurdle in water monitoring and filtering systems is the creation of a cost- effective, scalable solution that can be easily implemented across diverse environments. This project introduces EcoFlow, an innovative and budget- friendly solution for water level monitoring and purification. The system utilizes UV lights and activated carbon to efficiently filter water, eliminating harmful microorganisms and removing impurities, chemicals, and odors. By addressing the unique challenges of different regions, EcoFlow aims to contribute to the broader adoption of UV and activated carbon-based water treatment systems. Beyond its filtration capabilities, EcoFlow incorporates a real-time water level monitoring system, empowering users with vital information for sustainable and equitable access to clean water

REAL-TIME WATER LEVEL MONITORING USING LOW-COST GNSS RECEIVER

Abstract. Developing an accurate water level monitoring system is one of the measures to mitigate the effects of water-related hazards such as river flooding. While current monitoring systems in the country are efficient in terms of accurate and immediate data delivery, these systems can be costly. This study assesses the Global Navigation Satellite System (GNSS) performance of low-cost receiver systems for water level monitoring using real-time kinematic (RTK) solution. A total of 10 days’ valid observation were analyzed to compare the two base-rover receiver setups: 1) low-cost base to low-cost rover (LC-LC) and 2) survey-grade base to low-cost rover (SG-LC) grounded on accuracy, integrity, continuity, availability, and cost. Accuracy results show LC-LC=5.81 cm and SG-LC=5.37 cm mean difference of RTK from in-situ readings. In terms of RTK and post-processing kinematic (PPK) difference for integrity criterion, the RTK SG-LC setup has a lower range of RMS of 0.86 to 1.94 cm versus LC-LC setup of 1.19 to 2.28 cm. For the continuity criterion, the average fixed solutions percentage for the LC-LC setup: RTK=91.43%, PPK=92.92%, whereas for the SG-LC: RTK=95.51%, PPK=98.39%. On availability, the number of valid satellites (NSat) and position dilution of precision (PDOP) of RTK and PPK solutions for each setup are LC-LC: RTK=11, PPK=23, PDOP=1.0 and SG-LC: RTK=11, PPK=24, PDOP=1.9. Lastly, in terms of costing, LC-LC costs Php 58,340 while SG-LC costs Php 1,279,645. Overall, the parity of LC-LC with SG-LC in terms of the five criteria suggests viability of using LC-LC for accurate real-time water level monitoring.

IOT-BASED WATER LEVEL MONITORING SYSTEM OF SITU RAWA BESAR

Pancoran Mas, Depok city has a water catchment area, namely Situ Rawa Besar. Situ Rawa Besar has the potential to overflow during the rainy season which caused flooding in 2020. The water level of Situ Rawa Besar is not monitored in real time so that information on the increase in water level is late to reach the community. Thus, an IoT-based water level monitoring system using ultrasonic sensors was made so that the community was able to monitor the state of Situ Rawa Besar in real time through a prepared website. In order to use the ultrasonic sensor module, there was a failure to read the water level in previous studies. So in addition to monitoring the water level in Situ Rawa Besar, the purpose of making this system is to prove that ultrasonic sensors can be used in water environments such as situ. System testing was carried out at Situ Rawa Besar and at the Prototype. This system is able to monitor the water level for 24 hours with electrical power provided from batteries integrated with solar panels. Testing was carried out on 6 days with an average water level of 70-72cm (alert level). All height data for 6 days is uploaded to the Thingspeak website and can be seen by anyone. Based on the research on the prototype, the system is able to measure the height from 0-182 cm and turn on the alarm when the height is more than equal to 100 cm.

RANCANG BANGUN SISTEM PEMANTAU KETINGGIAN AIR OTOMATIS MENGGUNAKAN SENSOR ULTRASONIK (HC-SR04) BERBASIS ARDUINO UNO DENGAN ANTARMUKA KOMPUTER BERBASIS MICROSOFT VISUAL BASIC 6.0

Efforts can be made to overcome this natural disaster, including providing a drainage system, maintaining forests and monitoring river water levels to determine the possibility of flooding if the level exceeds normal. In this research the author designed a tool to provide warnings before a flood disaster occurs. The design of an automatic water level monitoring system using an ultrasonic sensor (HC-SR04) based on Arduino UNO with a computer interface based on Microsoft Visual Basic 6.0 was created using HC-SR04 to measure distance, Arduino UNO as the main controller for the entire tool, LED and buzzer. When the HC-SR04 measures the distance by emitting waves from the trigger pin as the trigger and the echo pin as the receiver, the distance will then be processed by the Arduino UNO to calculate how many "cm" distances have been measured. If the distance calculated by the Arduino UNO is < 30 cm then the green LED will light up, if the distance is < 20 cm then the yellow LED will light up and the buzzer will sound slowly. However, if the distance is <10 cm, the red LED and yellow LED will light up alternately and the buzzer will sound loudly. Next, the data will be displayed on the PC interface with Microsoft Visual Basic 6.0 according to the distance received.

Peringatan Dini Banjir Berbasis Internet Of Things (IOT) dan Telegram

Flooding is a natural event that can have serious impacts on ecosystems, the economy and human life. In efforts to mitigate and control flood risks, early warning plays an important role in providing quick information to the public and the authorities. In this context, the application of the Internet of Things (IoT) provides an innovative solution by utilizing the latest technology to create an efficient and accurate flood early warning system. This research is intended to create a prototype river water level monitoring system using NodeMCU and the Telegram application programming interface as a first step in anticipating flooding. The main objective is to provide assistance to supervisory officers in monitoring river water levels in real time. This research method includes the development and integration of sensors connected to an IoT network to accurately detect changes in water level. The system also implements efficient data analysis algorithms to determine whether conditions require early warning. Telegram was chosen as communication platform to convey warning messages to the public. The IoT device is connected to a buzzer which will provide a sound warning when the water level reaches a threshold. The research results obtained show that water level conditions in the range of 2cm-50cm are categorized as Alert 1 status, so the buzzer (Alarm) is On. In the 51cm-99cm range, the status is Alert 2, and in the 100cm-400cm range the status is Alert 3 with the buzzer Off. Apart from that, via the Telegram bot the status of Alert 3, Alert 2, and Alert 1 will be informed

BROACHING UNCOUTH WATER LEVEL SNAG IN UNDERGROUND AGRICULTURE FIELD THROUGH WIRELESS SENSORS

The major problem faced by the agriculture industry is the growth of seeds at optimal fertility. Such uncouth fertility occurs when either no water reaches under soil seed or some obstacles prevent it. This issue degrades agriculture growth at an aggravation level and consequently barren the land. A wireless sensor-based communication model has been developed to notice the accurate status of the water level reaching seeds of various crops such as wheat, maize, barley, and cotton with soil types Loamy, Silty clay, and Black soil. In the proposed model, "Broadening Uncouth Water Level Snag in Underground Agriculture Field with Wireless Sensors" (BUWLN), the water level would be measured in real time and the data would be transmitted to a base station accordingly. The 8 sensor nodes and a base station would be deployed accompanied by an Arduino package in an area of 90 x 30 square feet to monitor water levels efficiently. The study will keep track of water levels, and the farmer will be informed of the water level so they may manage water resources more effectively. In addition, farmers will also be aware of the field if water is distributed uniformly so that the crops yield increases. The performance of the proposed BUWLN model has been compared with Remote water-level monitoring system (RWMS), Low cost wireless sensor network (LCSN), and Ensemble groundwater level prediction (E-GWLP) by conducting simulation using PROTEUS. result showed that the proposed BUWLN model has enough potential for future growth.

Prototype of Water Level and Rainfall Detection System as Flood Warning Based On Blynk Iot Application

Rainfall in the rainy season can last for about six months, resulting in continuous rain and increasing the amount of water that causes flooding. The community does not directly get information or be informed when it rains. To anticipate these problems, the Prototype of Water Level and Rainfall Detection System as a Flood Warning Based on the Blynk IoT Application is considered effective for developing a rainfall and water level monitoring system. By using the tool design method, flowchart, system analysis (SDLC), and testing using the black box testing method. The system detects the distance between the sensor and the water surface. If the distance to the water level is close to the sensor, the system will report a flood and then switch to the Blynk software. The mobile will display a message and the system can enter all distances into the program.

User Acceptance for Multitask IoT Monitoring and Controlling System for Salt Ponds

The process of making salt is still done manually by filling water into reservoirs and plots which require salt farmers to visit their farms periodically. This is mainly because the speed of the salt crystalization process is always inconsistent due to salt concentration in seawater and the weather. This study aims to build a new prototype of a water level monitoring system in reservoirs and plots in salt ponds then measure the water's salinity value, which will be reported to the farmers. The method used in this research is prototyping, which includes system requirement analysis, rapid design, prototype building, system evaluation, and system improvement. The system was tested using the black box method, namely testing all system functionality and determining user satisfaction with questionnaires. The functionality test results, including monitoring the water level and the pump control, show that the prototype functions correctly. The designed system can send information in the form of water level values in reservoirs, water levels in plots, and salinity values with linear sensor accuracy with measurement results with conventional measuring instruments with standard error values of 0.485, 0.44, and 0.72, respectively. Applying this system will ease farmers’ monitoring of water levels and controlling irrigation in reservoirs and plots.

Development a prototype of river water level monitoring system using ESP32 based on internet of things for flood mitigation

Flood is one of the disasters which often strike Indonesia. It is one of the disaster which can cause plenty of losses for the community that are not limited to material losses only, but casualties too. Along with the development of science and technology, flood mitigation can also be performed through the latest technologies which are more effective. One of the technologies which can be applied to help monitoring flood is river level monitoring system that is based on the Internet of Things. The purpose of this study is to create a river level monitoring system by using ESP32 based on the Internet of Things for flood mitigation. This system uses Ultrasonic Sensor and the monitoring results will be displayed on Blynk and Thingspeak which are connected to the ESP32. The result is a prototype of a river level monitoring system, which es expected to be used for flood mitigation.

Passive IoT Optical Fiber Sensor Network for Water Level Monitoring with Signal Processing of Feature Extraction

This paper presents a real-time remote water level monitoring system based on dense wavelength division multiplexing (DWDM)-passive optical fiber sensor (OFS) network for the application of the Internet of Things (IoT). This network employs a broadband light source based on amplified spontaneous emission (ASE) as a seed light. This ASE light is spectrum-sliced by an athermal type arrayed waveguide grating (200 GHz × 16 channel), then distributed towards multiple sensing units (SU). Here, 16 SUs are installed vertically at the specified height in the water pool according to the design specification (i.e., spatial resolution). Then, each SU reflects an optical spectrum having a different reflection coefficient depending on the surrounding medium (e.g., air or water). By measuring these reflected optical spectra with an optical spectrum analyzer, the water level can be easily recognized in real time. However, as the sensing distance increases, system performance is severely degraded due to the Rayleigh Back-Scattering of the ASE light. As a result, the remote sensing capability is limited at a short distance (i.e., <10 km). To overcome this limitation, we propose a simple signal processing technique based on feature extraction of received optical spectra, which includes embedding a peak detection algorithm with a signal validation check. For the specific, the proposed signal processing performs the peak power detection, signal quality monitoring, and determination/display of the actual water level through three function modules, i.e., data save/load module, signal processing module, and Human–Machine Interface display module. In particular, the signal quality of the remote sensing network can be easily monitored through several factors, such as the number of spectral peaks, the wavelength spacing between neighboring peaks and the pattern of detected peak power. Moreover, by using this validation check algorithm, it is also possible to diagnose various error types (such as peak detection error, loss of data and so on) according to the pattern of measured optical spectra. As a result, the IoT sensor network can recognize 17 different level statuses for the water level measurement from a distance of about 25 km away without active devices such as optical amplifiers (i.e., passive remote sensing).

Water Level Detection for Flood Disaster Management Based on Real-time Color Object Detection

Currently, the water level monitoring system for a river uses instruments installed on the banks of the river and must be checked continuously and manually. This study proposes a real-time water level detection system based on a computer vision algorithm. In the proposed system, we use color object tracking technique with a bar indicator as a reference’s level. We set three bar indicators to determine the status of the water level, namely NORMAL, ALERT and DANGER. A camera was installed across the bar level indicators to capture bar indicator and monitoring the water level. In the simulation, the monitoring system was installed in 5-100 lux lighting conditions. For experimental purposes, we set various distances of the camera, which is set of 40-80 centimeters and the camera angle is set of 30-60 degrees. The experiment results showed that this system has an accuracy of 94% at camera distance is in range 50-80 centimeters and camera angle is 60o. Based on these results, it can be concluded that this proposed system can determine the water level well in varying lighting conditions.

Automated Water Level Monitoring System using Arduino and GSM Module

This paper aims to represent an Internet of Things (IoT)-based Smart Water Level Monitoring (SWLM) system to provide continuous measurement of water levels in the Nilgiris district water ATMs. Multiple IoT devices (microcontrollers and sensors) are connected with each other to detect the water levels. The extracted data from the sensors are transmitted to a mobile application developed using flutter and the data is stored in a cloud platform called ThingSpeak. According to the obtained results, the proposed SWLM system will be able to analyse the water levels and display the ATMs category wise according to the water level percentage in the application built with flutter framework. This paper clearly explains how the hardware components are connected with each other and sends real time data to the cloud application (ThingSpeak). The paper also explains the methodology of flow of data from the cloud application and retrieval by using the flutter application. Furthermore, this paper also describes a working prototype that, when expanded, will ensure real time and quick redressal of tourist needs for clean drinking water while avoiding the use of plastic bottles in such an exquisitely beautiful and sensitive biosphere reserve like, the Nilgiris in Tamil Nadu, India. An application has also been developed for the same.

Water Level Monitoring System Simulation Using Flutter Framework in Pekalongan City

Pekalongan City is a region on the northern coast of Java with a sloping topography and is susceptible to the increasing sea level, which can result in tidal floods. As previous research revealed, ten villages in three districts, including coastal areas, are vulnerable to tidal floods. Moreover, the vulnerability analysis based on BNPB Head Regulation (Perka) No. 2 of 2012 unveiled that seven out of ten villages in three districts have a high risk of tidal floods. Pekalongan City experienced a tidal flood that swamped 16 villages in three districts at the beginning of 2021. It was the result of heavy rains and strong tides along the northern shore. The tidal flood caused damage to a variety of sectors, including agriculture, communities, infrastructure, and clean water sanitation. Information technology development was employed in disaster management, making it simpler to acquire data for predicting future disasters, obtaining data in disaster-affected areas, and implementing mitigation in disaster-prone areas. This study collected data through interviews and a literature review. This research created Android applications simulating a water level monitoring system using the flutter framework. Firebase was utilized as a database for authentication, while Google Maps Platform was deployed to display maps during the application simulation. It is anticipated that the simulation of the water level monitoring system will be the first step in building the water level monitoring system in Pekalongan City. Hence, residents of Pekalongan City can utilize it to assist with mobility issues during floods.

SISTEM PEMANTAUAN KETINGGIAN AIR SUNGAI DENGAN PENDEKATAN JARINGAN NIRKABEL

AbstractAlmost every rainy season, areas that are near watershed areas or watersheds. The area along the river has an important role in contributing and has a very high level of urgency to the occurrence of floods. Floods that often come suddenly cause huge losses, so people cannot be prepared to face flood disasters. So far the information system that has been built has been widely applied, but it has not maximally reduced the losses. To solve this problem, it is necessary to have a model or concept of a watershed monitoring information system that is fast and easily accessible online through a web application. In addition to some of the above, the concept of a communication system between the device point (node) to the center (server) along the river flow is made wirelessly using the ZigBee protocol. The results of the study are a wireless network based water level monitoring system that can be used as a basis for the next level of research.

Perancangan dan Implementasi Sistem Pemantauan Suhu dan Ketinggian Air pada Akuarium Ikan Hias berbasis IoT

Environmental monitoring and control systems of various electronic equipment such as sensors, actuators, televisions, lights, and surveillance cameras are one of the essential applications of Internet-of-Things (IoT). The utilization of IoT has also given birth to the smart home concept, which is realized in the form of home automation, where various equipment at home is equipped with a microcontroller and WiFi module such that they can connect to the Internet and interact with each other. One of the equipment at home that can be monitored and controlled using IoT technology is a fish aquarium which is commonly owned by ornamental fish cultivators or people who have a hobby of taking care of ornamental fish. Taking care of ornamental fish requires special attention to the parameters of temperature and water quality such that the fish can grow well. This study aims to design and implement an IoT-based temperature and water level monitoring system in an aquarium. The hardware in this system is implemented using NodeMCU ESP8266 as the central controller and the WiFi module that connects the system to the Internet, temperature sensor DS18B20, ultrasonic sensor HC-SR04, and relays to turn on and off equipment controlled by the system. In addition, Telegram bots are used to give commands to control equipment and receive notifications from the system. The testing results show that the designed system can work according to predetermined specifications. If the water temperature in the aquarium is outside of a specified range (24°C to 32°C), the system will activate a fan or a heater to adjust the water temperature.

Automated Tank Water-level Monitoring system (Overflow and Underflow) using Sensors

In daily life, water supply is very necessary for every activity and functions as water consumption. In urban areas where water supply is regulated for a specific time, a person must be present at that specific time to turn on their water pumps and store water in their water storage tank, and also the water tank is empty (the water level is below the tank ). If they are not present at that time, they have to go through hardships caused by a lack of water. It intelligently (without the need of any person) turns on the motor when the water is supplied and turns off the motor when the tank is filled. Nowadays, more and more people turn on the motor and forget to turn it off, causing waste of water and electricity due to overflowing of the water tank. The system is designed using an ultrasonic sensor, an automatic switching module, an IOT based ultrasonic sensor, and a pumping machine for automatic water filling switching. When using an ultrasonic sensor, an ultrasonic transmitter is mounted on the top of the tank, which sends an ultrasonic pulse down into the tank. The motor will remain on and fill the tank until another water sensor in the tank signals the ultrasonic sensor that the tank is full. When the tank is full, the ultrasonic sensor with the received signal will automatically turn off the water pump motor. When the tank is empty, the ultrasonic sensor with the received signal automatically turns on the water pump motor. This eliminates the need for a person to be physically present in time to turn on/off the water pump motor. It will be used, people will enjoy the water supply without worrying about spilling water and wasting electricity

WATER LEVEL MONITORING SYSTEM IN WATER UTILITY COMPANY OPEN CHANNELS BASED ON INTERNET OF THINGS

Monitoring the water level in the open channels of the regional water utility company needs to be carried out to ensure the availability of raw water to be processed. This research focuses on making a prototype of a water level monitoring system in an open channel utilizing the WSN (Wireless Sensor Network) component as an application of the IoT (Internet of Things) concept. Monitoring the water level in the open channel is carried out using the infrared sensor GP2Y0A02KF0Y. The real-time measurement results are then sent using XBee wireless communication, then processed by the Raspberry Pi to be saved to a database and displayed on the website. The measurement data can be presented on the website in graphs and tables. The GP2Y0A02YK0F sensor has a measurement error of 1.02% with a correlation coefficient of 0.9998. The average delay in sending data to the website is 1 second. The monitoring system can work well when measuring the water level in an open channel. The advantages of this research are that the instrument used has a high level of accuracy at an affordable price, uses low power, is easy to operate, and can store and present real-time data