Level Monitoring System Research Articles

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.

Long-Distance Sea Wave Sparse Matching Algorithm for Sea Level Monitoring System

Benefiting from rich agricultural land, easy transport and fishing, etc., more and more people are moving to live in coastal areas, with more than 200 million people now living in coastal areas that are vulnerable to extreme sea level events. Sea level information is useful for coastal societies. Image measurement is rapidly developing as a new type of measurement tool. A multicamera-based sea level monitoring system along Japan’s coast near the Pacific is proposed in this paper, and a long-distance sea wave matching method for this system is described. The whole system employs multiple binocular vision systems to take sea surface images and obtain the sea level height based on the disparity between the field of views of the left and right cameras, forming a local measurement and overall analysis monitoring system. Sea level monitoring requires a high processing accuracy and speed to realize a timely response to extreme events. Thus, the paper extracts sea waves and integrates a sea wave’s appearance features as feature points and descriptors and pioneers the idea of searching deterministic features for fast image processing. The average stereo matching precision of the proposed method is up to 89.9% with a running time smaller than 40 ms for most pairs of images. Experiments on various real sea surface image pairs are conducted to validate the effectiveness of the proposed method.

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.

Research on Transformer Oil Level Monitoring System Based on Inspection Robot

Because the traditional oil level gauge transformer relies on manual regular patrol detection, it is not easy to know the state change of the oil level in real time. In recent years, the rapid development of AR/VR technology, the positioning, and the construction of maps of robots have also received widespread attention, and the oil level inspection task has gradually evolved in the direction of intelligent machine inspection. Based on this background, this paper studies the Cartographer algorithm, according to the mapping results for path planning, to achieve robot autonomous navigation of the designated location. After arriving at the destination, the user obtains the oil level by the depth camera, and uses the YOLOv4 to design an intelligent detection algorithm for oil level detection, using neural networks to learn the oil level state in various weather, and train a dedicated model. Through experimental verification, the inspection robot can complete the construction of the map and realize autonomous path navigation according to the target point, and the oil level detection system based on the YOLOv4 algorithm can achieve an accuracy of more than 90% for the recognition of oil level information, which has good applicability.

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.

Real-Time Flood Monitoring with Computer Vision through Edge Computing-Based Internet of Things

Natural disasters such as severe flooding can cause catastrophic losses to properties and human lives. Constant real-time water level monitoring prior to a flooding event can minimise damages and casualties. Many of the currently deployed water level monitoring systems typically use a combination of float-type or ultrasonic sensing, image processing and computer vision techniques. However, these systems incur high computing and hardware requirements, which hinder the deployment of such systems in resource-constrained and low-cost environments. The recent development of technologies empowered by the Internet of things (IoT) and edge computing have enabled real-time systems to be deployed at a significantly lower cost and a far more distributed manner. In this paper, we propose an architecture for flood monitoring using RGB-D cameras with stereoscopic capabilities to measure the water level in an open environment. Our system uses image preprocessing techniques to account for chromatic aberration due to overexposure, followed by postprocessing before the depth readings are extracted. Data processing and water level information extraction are entirely performed on an edge computing device, therefore greatly reducing the amount of data transmitted to the cloud server. We practically implemented and experimentally validated this system in the real world, under a wide range of weather and lighting conditions. Our results showed promising outcomes and demonstrated the applicability of our proposed system in a wider context.

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.

A Health Level and Risk Rating Monitoring System of Village Credit Institutions

As a financial institution that is very vulnerable to negative issues, Bali Governor Regulation No 44/2017, which regulates the management of an LPD (Village Credit Institution) directs that LPDs be managed carefully. Performance indicators that must be considered are the level of health and risk rating of the LPD, which are determined by a number of factors/components related to the financial condition and procedures for managing the LPD. The procedure for determining it is clear, but requires careful calculations and seems difficult for those who do not understand it. Knowledge of the level of health and risk rating will make it easier to find alternative solutions when the LPD has problems. Building a health level and risk rating monitoring system is a solution. The system is built using the Waterfall method with an object-oriented system approach. This system will greatly assist the manager and the supervisory team to maintain good LPD performance, and can quickly anticipate situations that cause the LPD's performance to decline, which is shown from the factors/components of the health level monitoring results and risk ratings by this system.

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

P06-06 Co-development of the national monitoring system for the joy of motion, physical activity and motor skills for pre-school-aged children in Finland

In recent years, we have got more information on physical activity and motor skills of preschool-aged children in Finland. However, national monitoring system for this age groups is still lacking in Finland like in many other European countries too. This presentation describes the process and recent results of an on-going research and development project JOYPAM - monitoring the joy of motion, physical activity and motor skills for pre-school-aged children. Aim of the project is to co-create, test and recommend a national level monitoring system by the end of 2020.

Hydrogel‐Based Real‐Time Wireless Liquid Level Monitoring System for Size‐Independent Infusion Bags

AbstractThe monitoring of saline levels during medication has become a tedious process for practitioners. Regardless of the infusion bag size, real‐time wireless monitoring is essential in the healthcare medical sector. This paper demonstrates a size‐independent infusion bag liquid level monitoring system based on highly stretchable (>100% tensile strain) hydrogel‐based electrodes. The sensor uses coplanar capacitive electrodes to sense changes in the liquid level and is integrated with a flexible printed circuit board (FPCB) to monitor the liquid level in real‐time wirelessly. Regardless of the sensor's extensibility, the linear relationship between the ∆C/C0 and the drop in liquid level, and the difference in the ∆C/C0 values corresponding to liquid fill and empty states remained approximately the same. The sensor integrated with an FPCB delivered continuous liquid‐level data to a mobile device in real‐time without any obvious error.

Sewage Environment and Workers Health Monitoring System Using IOT and ML

Abstract: This project aims to provide intelligent solutions for sewage environment monitoring and is working on a live sewage level detection and monitoring system. Many sanitation workers suffered from serious health problems at a young age and died from constant exposure to toxic sewage. Various types of work have been undertaken to identify, maintain and manage the drainage system, but very little has been done. to protect the lives of the people who do it. The goal of this monitoring system is to have an effective, flexible and cost-effective solution to verify and maintain an update through sensors and to collect and analyze data using the Internet of Things and machine learning. The device monitors the person's pulse rate via heartbeat sensor, sewer temperature, water level and hazardous gases such as CH4, CO to warn the worker and the outdoor unit when the parameters deviate from the safe range. The information is sent along with various values indicating whether it is safe for the worker to clean or work in that environment. If the values exceed the threshold, it sends an alert to the connected mobile devices of authorized people remotely at work. This result will quickly alert the worker to stay safe and detect toxic gases before damage occurs. The machine learning model then uses the data obtained from the cloud to perform further systematic analysis and intelligently leverages this vast amount of data to predict worker health with considerable reliability and accuracy.

Regional Tidal Modelling Using Tide Gauges and Satellite Altimetry Data in South-West Coast of Turkey

This study aims to determine the main tidal parameters and the regional tidal model in the south-west coasts of Turkey using the least-squares harmonic estimation method. For this purpose, the sea level data were analyzed and compared to the tides that affect sea level based on the tidal model using the tide gauge station and satellite altimetry data. High-Frequency tide gauge data were obtained from the TUDES (Turkish National Sea Level Monitoring System) data archive and multi-mission satellite altimetry data were achieved from the AVISO data archive. The tidal components of ten tide gauge stations distributed in the south-west coast of Turkey were computed between the period 1998–2018. The results were compared with DTU10 and FES2014b global tide models and regional X-TRACK tidal constants (for Mediterranean). It was found that the differences of the global and regional model solutions were less than 1.3 cm for the main tide constituents (semidiurnal: M2, S2 and diurnal: K1, O1). Moreover, a regional tidal model for Turkey's south-west coast was determined from tide gauge stations and satellite altimetry. The results indicated that the difference between the two solutions was about 0.8 cm.

Rancang Bangun Sistem Monitoring Ketinggian Air, Suhu Dan Kekeruahan Air Pada Budidaya Ikan Lele


 Cultivating catfish is one of the popular fishery farming activities in Indonesia. Catfish is one of the many fish chosen for cultivation because it has a fast growth rate and can live in various air conditions. However, there are several obstacles or loss factors if not addressed quickly, such as if the air level occurs, changes in temperature conditions and also the level of air turbidity which is also not released is always reviewed regularly. This study uses a prototype method that uses system development from pre-existing systems, this writing covers the design and manufacture of hardware and software with the right detection development algorithm. Aims to produce or create a microcontroller-based system that has the ability to detect air level, temperature and air turbidity in ponds with the hope of being able to minimize the risk of losses caused by air conditions in catfish ponds. The system is equipped with an air level detector using an ultrasonic sensor, and is equipped with a DS18B20 sensor which can detect air temperature and a turbidity sensor which is used to detect the level of air turbidity and of course this system is also equipped with a microcontroller to process data from sensors used as input. The output of the air level monitoring system is an LED with red, yellow and green colors, as well as a buzzer as a marker of air level in catfish ponds. The monitoring system for temperature and also turbidity in water pools is a notification system using an I2C LCD that displays readings of sensor values. The monitoring tool has been successfully tested and is expected to be useful for increasing catfish farming results.
 
 Keywords: Arduino Nano, DS18B20 Sensor, Turbidity Sensor

The development of a real time, interactive water level monitoring system through SMS with AC load control

Flooding and water level rise is a constant problem Filipinos encounter every year. The Philippines has a reasonably well-defined rainy season due to the monsoons. To counter the adverse effects of this potentially disastrous phenomenon, modern flood monitoring and forecasting systems are indispensable. Thus, the utilization of a comprehensive GSM-based system for monitoring water level of streams, lakes, rivers and other bodies of water in areas prone to flooding is essential to effectively increase the people’s awareness in real time. The system works by receiving water level update queries through text messaging from any cellphone number and texts back the accurate water level (in feet and inches) based on the actual reading from the system’s sensor. The water level update can be done “on demand” or every 10 minutes. The system can analyze the water level patterns such as the rate of water level rising or receding and includes its observation on the SMS to be sent. It also has integrated anti-theft features such as intruder sensor and alarm and the system locator through GPS (Global Positioning System). They are designed to protect the system against thieves and intruders. The system is also capable of controlling an AC (Alternating Current) load. This allows the system to be used in various applications that require water monitoring and automatic control. It can control AC loads of up to 2000 watts. The control function can be “automatic” or through SMS (Short Message Service) depending on the application.

Smart trash bin level monitoring system

Solid waste management is still a big issue in cities, causing considerable health and environmental problems. Trash cans are strategically distributed across the city to handle solid waste. These containers have the potential to overflow, contaminating the environment and creating trouble for people. A real-time remote monitoring system that informs a waste management firm or the relevant authorities of the level of rubbish in trash bins is required. The proposed system describes the creation and validation of a self-powered, LoRaIoT-enabled Smart Trash Bin Level Monitoring System for effective solid waste management (IoT-STBLMS). Smart Trash Bin Level Measurement Unit (STBLMU) monitors the unfilled level and geographical position of a trash bin, then analyses and communicates the data to a cloud platform using the MQTT protocol. A dashboard allows users to examine and evaluate the status of each bin as well as its geo-location. The designed system's accuracy, average current consumption and life expectancy, battery charging time, and cost were investigated and published here.

Flexible nanostructured CuO thin film: A promising candidate for wearable real-time sweat rate monitoring devices

Hydration level monitoring ensures clinically convenient instructions for preventive medicine and disease diagnostics. This paper aims to develop a wearable metal-oxide based sensor for monitoring hydration levels using flexible nanostructured copper oxide (CuO) thin film. Nanostructured CuO thin films were designed and fabricated on flexible cellulose acetate (CA) substrates via the successive ionic layer adsorption and reaction (SILAR) method. The obtained CuO films vigorously adhered to the CA substrate, and the resulting coated substrates were efficiently flexible to be used as wearable hydration level monitoring systems to realize big data collection of human health. The sensing response of the CuO-based flexible sensors is heavily improved by optimizing the growth process.

Innovative transient-proof hydrostatic level measuring method

Abstract Most of the level monitoring systems for pressure vessels containing saturated steam-water mixture use the hydrostatic method. Differential pressure transducers are connected by pulse tubes with nozzles at different height of the pressure vessel. A disadvantage of this method is given by measuring errors cause by evaporation and/or degassing processes in vertical parts of these pulse lines. The error is caused by the decrease of the fluid density in the reference pipe, when a two-phase mixture appears. The present work aimed at the test of a novel differential pressure measuring system that eliminates the influence of density changes in the pulse lines. It is based on two differential pressure transducers, placed accurately at the elevation of the connecting nozzles. They are connected with the pressure vessel only by horizontal pipes. The vertical distance is bridged by a standpipe, the fluid of which is completely separated from the fluid in the vessel. Degassing respectively evaporation effects can therefore be completely excluded in the reference column of the new system. The method was tested at the pressurizer test facility of the University of Applied Sciences Zittau/ Görlitz, IPM on three types of transients including a rapid pressure decrease similar to a loss-of-coolant transient. Traditional differential pressure systems as well as local void probes were used for comparison. The method has proven its advantages compared to the traditional hydrostatic level measurement method.

Prototype of water level monitoring system using magnetic sensor and ultrasonic based on Arduino Mega 2560

Water level monitoring is an activity to observe the water level by identifying and anticipating flood problems that will arise for action to be taken as early as possible. This system is connected by water level measurement. This prototype uses two types of sensors to measure the water level, the UGN3503 magnetic sensor will detect the water level horizontally, and ultrasonic sensors will detect vertically. Arduino Mega 2560, as a control system, regulates the work of the integrated sensors. The experiment using one UGN3503 sensor is obtained the maximum deviation on the addition or reduction of water by 3 mm. The overall system experiment shows that the measurement results of the UGN3503 sensor are closer to the actual height than ultrasonic. The data region affected by the water overflow is processed in ArcGIS software to predict that area. The relationship between height alterations to the overflow area is described in a linear equation.

A Review on Arduino Based Automatic Water Pump Level Adjustment and Monitoring System

Abstract: Water is the most important thing for humans. Wells, tanks, canals are the main source for the supply of water in the farmland. Water scarcity is one of the problems facing major cities of the world. Wasting water during transmission has been identified as a major culprit. In the traditional way of climbing down the well and shifting the pump, it is a very tedious and timeconsuming job. With the help of hardware and software components, we are designing a device that will help the farmers to automate this regular work by adjusting the water pump according to water level. This is the main motivation for this study to deploy computing techniques in creating a safety mechanism that will automatically shift the pump according to the level of water in the well and also will turn on/off the pump as the use of water for watering the crops and filling the water tank is done. Thus, the automatic shifting of the pump, automatic turn on/off of the pump, and monitoring of the water supply will help save the life of the farmer by electric shock, also help save water as it is very limited somewhere and also save electricity.