Water Level In Tank Research Articles

Stability Analysis Of Two-Position Control System In Interacting Tanks Using Describing Function Method

In a water storage unit consisting of 3 interacting tanks, in its operation there will be problems if manual control is used, because if manual control is not optimal, then when filling water in the three tanks it will cause water overflow, which results in a lot of water being wasted. Two-position control, or "on-off," is a control system that is suitable for use in regulating the water level in the storage unit tank. In a two-position control system, if the frequency of water up and down (Limit Cycle) is large, it will cause an increase in the number of "switching" and "on-off" operations of the switch and solenoid valve per minute, so that the system becomes unstable and will shorten the life of the component. The Describing Function (DF) method is an analysis method that can determine the Limit Cycle frequency based on the width of the water up and down range (hysteresis) of the two-position control system, with the aim of determining the hysteresis parameters that cause the system to be stable.

Energy coupling and surge wave superposition of upstream series double surge tanks of pumped storage power station

Pumped storage power station with surge tank is common, and surge wave superposition can cause more dangerous water levels. This paper aims to study the energy coupling and surge wave superposition of upstream series double surge tanks of pumped storage power station. Firstly, the simulation model of pumped storage power station based on method of characteristics is established. Combined operating conditions are illuminated. Then, surge wave control strategies coupling gravitational search algorithm, relative objective proximity and marginal analysis principle are designed. Coupling control domains are determined to perform surge wave superposition analyses under single objective and multi-objective. Finally, the energy coupling and conversion mechanisms are revealed. The results show that the coupling control domains of combined operating conditions with same initial operating condition are the same. Control domains for undamped and damped systems contain two and three sub control domains, respectively. Based on energy conversion mechanisms between discharges and water levels, the number of discharge superposition points of pipelines affects energy coupling strength by changing coupling oscillations of water levels in surge tanks, which is related to the pipeline parameters, surge tank parameters and system damping. Energy coupling affects surge wave superposition by changing the actual control water level.

Development of 16N monitoring system for real-time detection of small leakage in reactor coolant systems

This paper introduces a16N monitoring system designed for the real-time detection of minor coolant leaks in nuclear reactors. Conventional coolant leak detection methods in nuclear power plants rely on observing changes in sump tank water levels, as guided by Nuclear Regulatory Commission standards. However, these methods are slow and often inaccurate, particularly for detecting small leakages of less than 0.5 gallons per minute (gpm). Such delays pose risks of corrosion from boric acid and potential safety hazards due to mechanical or thermal fatigue at critical junctions. To address these challenges, we have developed a Reactor Coolant System (RCS) leakage detection system that can swiftly identify small coolant leaks. This system employs beta-ray emissions from 16N, a nuclide predominantly produced during reactor operation and accounting for 90.4% of the total radioactivity in the APR1400 RCS coolant. High-energy beta-rays emitted by 16N are ideal for monitoring due to their significant energy levels, which distinguish them from other nuclides. This system is specifically designed for installation within the annulus zone of the reactor containment, where it captures air near reactor pipes to measure 16N beta-rays. Given the short half-life of 16N (7.13 s), direct measurement is challenging; hence, we use an indirect method to determine calibration factors between dose rate with count rate and estimate radioactivity concentrations based on simulation data and experimental measurements with a surrogate 90Sr/Y source. This system can enhance the safety protocols of nuclear plants by enabling early detection of leaks. Our findings demonstrate that this system can detect leaks as small as 0.01 gpm within seconds, significantly improving response times compared to conventional methods.

Artificial Neural Network-Based Real-Time Power Management for a Hybrid Renewable Source Applied for a Water Desalination System

Water desalination systems integrated with stand-alone hybrid energy sources offer a remarkable solution to the water–energy challenge. Given the complexity of these systems, selecting an appropriate energy management system is crucial. In this regard, employing artificial intelligence techniques to develop and validate an energy management system can be an effective approach for handling such intricate systems. Therefore, this paper presents an ANN-based energy management system (ANNEMS) for a pumping and desalination system connected to an isolated hybrid renewable energy source. Thus, a parametric sensitivity algorithm was developed to identify the optimal neural network architecture. The water–energy management-based supervised multi-layer perceptron neural network demonstrated effective power sharing within a short time frame, achieving accuracy criteria of RMSE, R, and R² between the actual and estimated electrical power of the three motor pumps. The ANNEMS is defined to facilitate real-time power sharing distribution among the various system motor pumps on the test bench, considering the generated power profile and water tank levels. The proposed strategy employs power field oriented control to maintain DC bus voltage stability. Experimental results from the implementation of the proposed ANNEMS are provided. Therein, the power levels of the three motor pumps demonstrated consistent adherence to their reference values. In summary, this study highlights the significance of selecting appropriate energy management for real-time experimental validation.

Minimum water level in surge tank and control methodology under the combination condition of load acceptance after rejection

This paper aims to guide the control of hydropower stations by obtaining the most dangerous instant of surge superposition to improve the extreme value in surge tanks under the combination conditions of load acceptance after rejection. Firstly, the theoretical formula for calculating the most dangerous superposition instant of the minimum surge in the surge tank under the combined conditions is derived. Then, the dynamic mechanism is expounded. Finally, the concept of ’ the time span ’ and the calculation process are proposed, which should be avoided under the start-up control in hydropower stations. The results indicate that the most dangerous superposition instant occurs when the change rate of the surge tank water level with the tunnel flow in the front condition is the same as that in the post condition. This study proposes the theoretical formula with high precision and explains the mechanism from the perspective of energy. It suggests that hydropower stations can reduce the cross-sectional area of surge tanks by controlling the start-up far away from ’ the time span ’, which can not only effectively reduce the project cost, but also enhance the understanding of surge superposition in surge tanks.

Smart Water Management Grid

The Smart Water Management Grid (SWMG) lever- age the power of the Internet of Things (IoT) to revolutionize water management, ensuring efficiency, sustainability, and reliability in water distribution systems. By integrating sensors such as level monitoring, pressure monitoring, leakage control, and pH sensors, these grids enable real-time monitoring and intelligent decision-making to optimize water usage and minimize wastage. One crucial aspect of smart water grids is level monitoring, which tracks water levels in reservoirs, tanks, and pipelines. By continuously monitoring water levels, authorities can ensure optimal storage and distribution, preventing shortages or over- flows. Pressure monitoring sensors further enhance efficiency by maintaining optimal pressure throughout the distribution network, minimizing energy consumption and reducing the risk of pipe bursts. Leakage control is another significant feature facilitated by IoT sensors in smart water grids. Advanced leak detection sensors can pinpoint even minor leaks in the system, enabling swift repairs and preventing significant water losses. This proactive approach not only conserves water but also reduces operational costs and mitigates potential damage to infrastructure and the environment. Moreover, integrating pH sensors into the water grid allows for real-time monitoring of water quality. Maintaining proper pH levels is critical for ensuring safe and potable water supply. By detecting variations in pH levels, authorities can promptly identify and address potential contamination issues, safeguarding public health and preventing waterborne diseases.

Development of Water Level Controller with SMS Capability

Water is considered a valuable resource and covers about 70% of the earth's surface. Tight schedule prevents regular checking of the domestic water tank level while refilling the used ones. This often leads to waste of water and increased monthly revenue payment to power utility company. Consequently, this paper presents a development of water level controller with SMS capability aimed at measuring water level smartly such that when tank is filled, message would be automatically transmitted as an alert to the owner using GSM for immediate response. The method involves interconnection of a water container that serves as tank with another open container serving as Bore-hole and a microcontroller-based device with its integrated development to generate a communication message. A flowchart that shows the procedural steps involved was developed. On completion of the prototype, components and sub-circuits effectiveness as well as experimental testing of the system effective operation were carried out. Some anticipated water level (AWL) were selected at interval of 2 centimeters (cm) starting from 3cm and the corresponding Message Operating water level (MOWL) were obtained with error deviations not greater than 0.17cm. Thus the average AWL, average MOWL and the error deviation are 11cm, 10.7cm and 0.1cm. The prototype device thus operated effectively.

Energy Optimization in Water Distribution System and Pump Scheduling

Efficient management of water distribution systems are critical for providing consistent water supply while reducing energy usage and operational expenses. This research proposes a unique method for improving water distribution and pump scheduling. The suggested system leverages ultrasonic sensors to monitor water levels in storage tanks, then dynamically changes pump operation and valve settings depending on real-time demand and tank levels. A mobile application gives users remote access to system controls, allowing them to work from anywhere. By combining sensor data with intelligent algorithms, the system optimizes pump scheduling to fulfill water demand while conserving energy and lowering system losses. The creation and implementation of such a system have tremendous potential to improve the performance and sustainability of water distribution networks.

Identifying failure types in cyber-physical water distribution networks using machine learning models

Abstract Water cyber-physical systems (CPSs) have experienced anomalies from cyber-physical attacks as well as conventional physical and operational failures (e.g., pipe leaks/bursts). In this regard, rapidly distinguishing and identifying a facing failure event from other possible failure events is necessary to take rapid emergency and recovery actions and, in turn, strengthen system's resilience. This paper investigated the performance of machine learning classification models – support vector machine (SVM), random forest (RF), and artificial neural networks (ANNs) – to differentiate and identify failure events that can occur in a water distribution network (WDN). Datasets for model features related to tank water levels, nodal pressure, and water flow of pumps and valves were produced using hydraulic model simulation (WNTR and epanetCPA tools) for C-Town WDN under pipe leaks/bursts, cyber-attacks, and physical attacks. The evaluation of accuracy, precision, recall, and F1-score for the three models in failure type identification showed the variation of their performances depending on the specific failure types and data noise levels. Based on the findings, this study discussed insights into building a framework consisting of multiple classification models, rather than relying on a single best-performing model, for the reliable classification and identification of failure types in WDNs.

Field experiment on performance of water source heat pump using underground rainwater tank as heat source

Research on heat sources for various heat pump (HP) systems is ongoing worldwide to achieve carbon neutrality and mitigate global warming. In this study, a rainwater (RW) tank HP (RWHP) using an underground RW tank as a heat source and heat sink was installed in an actual building and evaluated for its potential to provide cooling during the summer season. The water temperature of RW tank, the inlet and outlet fluid temperature, and the power consumption were measured. Using the collected data, the thermal stability of the RW tank and the performance of the RWHP were analyzed. In addition, the effect of the water level of the RW tank and precipitation was analyzed. As a result, the RW tank functioned as the heat sink for the HP during the cooling season. If the water level in the RW tank and the moisture content of the surrounding ground are high because of precipitation, the water temperature in the tank can be maintained at a relatively stable level. The coefficient of performance (COP) and system COP (COPsys) ranged 2.41–3.38 and 1.80–2.50, respectively. When the rainwater temperature in the RW tank increased, the COP and COPsys tended to decrease. Through this study, the data necessary for optimization through future mathematical modeling was collected. Also, the basic mechanisms of the temperature distribution of the RW tank and the performance of the RWHP were identified. Additionally, the operation method and means for improving the system were determined to increase the energy efficiency and broaden the applicability of the system.

Penerapan IoT pada Sistem Deteksi Kadar Air dan Level Tangki Stasiun SPBU

The development of the gas station business is currently very tempting for entrepreneurs, it can be witnessed that lately many gas station constructions have begun in the city to remote villages though. One of the most important things that is sometimes overlooked by gas station entrepreneurs is the quality of the fuel they sell and in general, monitoring the contents of the tank at gas stations is done manually. The purpose of the study was to design a Prototype of the Water Content Detection System and tank level, which aims to help gas station managers measure water content and monitor fuel content in gas station tanks automatically and realtime so that fuel quality is maintained, information can be monitored through web-based systems and mobile applications with Internet of Things technology. The IoT system design consists of an Arduino Uno R4 microcontroller, HC-SR04 ultrasonic sensor, conductivity sensor, and selenoid valve. The accuracy test results of the ultrasonic sensor used are good enough to measure the contents of the tank with an average error of 1.3%, while the conductivity sensor measurement has an average error of 0.292% with a validation process using the centrifuge method, The selenoid valve works well which is activated through a web-based monitoring application and a mobile application.

Adaptive MPC for Burst Incident Management in Water Distribution Networks

This paper investigates an adaptive control strategy which takes advantage of remotely actuated pumps and valves to improve the performance of water distribution networks (WDN) during burst incidents. The proposed strategy relies on model predictive control (MPC) to switch between problem formulations corresponding to normal operating conditions and burst conditions. The optimal control problems are formulated as non-convex non-linear programs (NLP), where the action of fixed-speed pumps and control valves (non-return and bi-directional) is modeled exactly and burst remedial interventions are represented using time-dependent connectivity matrices. We propose an efficient solution method based on reformulations and approximations of the non-convex objectives and constraints and apply the proposed strategy to the adaptive control of an operational WDN during a burst incident. The numerical experiments show that the computed burst control settings allow to partially or completely restore customer supply following the detection of a burst while maintaining minimum water levels in the network tanks and without increasing the cost of pumping operations. The results suggest that the proposed adaptive control strategy can be implemented alone, to mitigate the impact of bursts incidents in WDNs at minimum cost, or to complement traditional remedial interventions.

Simulation Design of Level Cascade Control System for Double-capacity Water Tanks

As a typical representative of process control, double-capacity water tank level control is a common automation control system used to control the level of two tanks to achieve level stabilisation and control, which is widely used in various fields of industrial production. Liquid level control is the key to the performance of the whole control system due to the existence of hysteresis and other problems in the control. Serial control of the sub-loop has a rapid control role, it can effectively overcome the impact of the disturbance into the sub-loop, improve the dynamic characteristics of the object, so in order to achieve better control performance, this design uses serial control to achieve the level of double-capacity water tank fixed value control. Double-capacity water tank level series control system to the tank level as the controlled quantity, first of all, the characteristics of the tank, the establishment of its mathematical modelling, and then the use of MATLAB on the simulation of the tank as well as PID parameter adjustment, and finally through the response curve to analyze the control performance of the system. The simulation results show that the double-capacity water tank level series control performance is good, the system can achieve the level of static-free regulation, and anti-interference ability is strong, with good dynamic and steady state performance.

Design and Realisation of Level Cascade Control System for Double-capacity Water Tanks

As a typical representative of process control, double-capacity water tank level control is a common automation control system used to control the level of two water tanks to achieve level stability and control, which is widely used in various fields of industrial production. In actual production, the accuracy and control effect of liquid level control directly affects the production cost of the factory, economic benefits and even the safety factor of the equipment. Therefore, in order to ensure safety and convenient operation, it is necessary to research and develop advanced level control methods and strategies. The sub-loop of serial stage control has a fast control effect, which can effectively overcome the influence of the perturbation into the sub-loop and improve the dynamic characteristics of the object, therefore, this paper adopts the serial stage control algorithm to achieve the constant value control of the liquid level of the double-capacity water tank and compare it with the conventional PID control algorithm, and the realisation results show that the serial stage control has a good ability to inhibit the secondary perturbation, and it can effectively improve the system's rapidity and accuracy.

A novel fault detection and diagnostic Petri net methodology for dynamic systems

Faults can have significant, negative impacts on the operation and performance of simple and complex dynamic systems. Based on the integration of Bayesian network diagnostic features with Petri net formalism, the existing Bayesian-supported Petri net tool has demonstrated the flexibility of using the Petri net approach for diagnosing failure scenario of a dynamic system. However, studies on using the proposed hybrid Petri net approach for condition monitoring and early detection and diagnosis of single and multiple failures in a dynamic system with feedback control loops are yet to be investigated. Thus, this paper presents a methodology to address this research gap using the operation of a water tank level control system as a case study. The method combines the constructed Generalised Stochastic Petri Net (GSPN) model of the system operation with its corresponding fault diagnostic Petri net model, created using the proposed modified Bayesian Stochastic Petri Net (mBSPN) formalism. The GSPN model establishes the causal relationships between the system’s components and/or subsystems. It further identifies deviations in the sensor measurements of the observable process variables characterising the system operation. The information provided by the sensors in the system model are then inputted into the mBSPN model to diagnose the root cause of the observed deviations. The obtained results demonstrated the capability of using the proposed integrated Petri net methodology for system condition monitoring, early fault detection and diagnosis of single and multiple failures in a dynamic system with feedback control loops.

Prototype Development of an SMS-Based Industrial Water Tank Level Monitoring and Control Parameters System

This study describes the creation of a prototype SMS-based fluid parameter monitoring system. Many water industry and oil servicing/plant maintenance companies use workers to measure and monitor fluid parameters such as flow rate, temperature, pressure, and level (taking periodic readings). The method is determined to be extremely difficult and severe, raising serious concerns. To address the aforementioned issue, it is proposed that a system be developed that would reduce the staff stress of manual monitoring of fluid parameters and notify the same to personnel for necessary action. The suggested system is made up of both hardware and software. The hardware section consists of four units: power supply, input, control, and output, all of which were created utilizing a top-down system design approach. The C programming language was used to write the software that controls the entire system. Following that, multiple units were constructed and tested. When the system is turned on, the sensors monitor various fluid (water) characteristics and provide signals to the microcontroller, which analyzes the parameters and sends them to a display unit and the employee's mobile phone for alert notification. The outcome is quite precise and accurate. A simulation of the system performance was also performed in PROTEUS. This proposed method is inexpensive and can be implemented in oil service organizations to provide faultless services in place of employees.

Design and Development of Automated Indoor Farming with Alert System

Indoor farming is becoming an addition to conventional farming practices. This project focused on designing a new, multilevel automated aeroponics system. This newly designed prototype includes an alert system that can alert the user at low water tank levels. The proposed multilevel aeroponic was tested for suitability for maximum plant growth configurations. The prototype development consists of several phases: primary structure, plastic container, water piping, and system setup. Various experiments were conducted within five weeks. The configurations involve changing lighting hours and irrigation patterns. The project's outcome shows the configuration with 12 hours of lighting and a 20-minute misting cycle provides maximum growth. A few recommendations such as lightning setup, user control and misting cycle were also discussed.

Smart Water Tank Level Detection

As the world around, us transforms and becomes more linked and digitalized, public water management is expected to provide in way. How far are we from achieving a true Smart Water Tank Level Detection, from cutting-edge technology to comfort, safety, reliability, and maintain. We notice that cleanliness of the surrounding area in Water Tank is also important because many people using by water stoaring tank, so how much west water is collected in the any other tank. As a result, we are implementing this approach and developing a green and complete water management city. Because of the day by day by many variant viruses in water and clean water is minimum available of sources, the smart water tank finder is primarily focused on human health, The human body will be affected, and the human life span will be reduced. So, by employing this system, the amount of human power necessary will be minimized, and you will be notified automatically on your mobile screen when a water tank needs to be disconnected supply or when an order is detected. Another sensor, ultrasonic sensor

Smart Aquaponics System for Oreochromis niloticus Production

Surigao City, found in the Northeastern part of Mindanao and facing the Pacific Ocean, boasts an abundance of fish; however, their prices are still high. This situation is due to the limited supply of freshwater fish, specifically Tilapia (Oreochromis niloticus), which is attributed to fishermen continuing to employ traditional fishpond methods. Considering this, the aim of this research is to design and develop a smart aquaponics system that incorporates recirculating aquaponics system (RAS) technology. The aim is to enhance the supply of Tilapia in the market. To achieve this, a developmental research design has been employed to create an efficient aquaponics system. The project incorporates two microcontrollers and multiple sensors to check essential parameters such as pH level, total dissolved solids, temperature, and water level. The study's results show a remarkable 6% fish growth, consistent operation of the system's circuit functions and water circulation, real-time data logging eased by the application software, and a power consumption of 193 watts. To examine the data acquired from the study, the researchers employed statistical methods such as mean, standard deviation, and frequency count. The tables and figures contain information on the system's hardware and software requirements, Tilapia growth characteristics, and a data overview of all sensor readings. The findings reveal that the smart aquaponics system could produce considerable growth of Tilapia within the tank while preserving fish development factors such as pH, salinity, total dissolved solids, temperature, and tank water level. The system likewise consumes less electricity and was rated "very acceptable" based on quantitative overall findings. These findings lead to the conclusion that Tilapia can effectively mass-produced using this aquaponics system. However, further research is necessary to prove a correlation between Tilapia grown in the smart aquaponics system and those raised through traditional fishpond methods.

Development of a solar powered smart irrigation control system Kit

The adverse effects of climate change and climate variability are hindering agricultural productivity in developing countries. When combined with the laborious nature of irrigated agriculture, many smallholder farmers in these countries abandon irrigation systems or occasionally fail to implement an irrigation event due to other commitments. Therefore, this necessitates smart technology advances in agriculture to deal with irrigated agriculture problems of energy use efficiency, cost, water conservation, and drudgery. This study aimed at developing a mobile solar-powered control system for real-time scheduling using feedback from soil moisture sensors. A smart solar-powered irrigation control system (Smart Irri-Kit) was developed to schedule and automate water delivery to crops based on soil moisture levels. Itincorporates an automated tank water level control system that triggers pump activation during irrigation. The Kit was designed, fabricated, programmed, and field tested at Makerere University Agricultural Research Station Kabanyolo, using sandy clay loam soil. In this study, efficient irrigation scheduling and relay of soil moisture updates to the farmers were achieved. The Smart Irri-Kit soil moisture sensors were able to detect soil moisture with no significant difference from the gravimetric method. The development of the solar-powered Smart Irri-Kit presents a sustainable and automated solution for optimizing irrigation practices, contributing to water conservation and improved crop yield. The integration of solar power enhances its autonomy and reduces operational costs. Future research directions include the incorporation of weather parameters and advanced communication capabilities for remote monitoring and control. Overall, the Smart Irri-Kit holds great potential in promoting efficient and sustainable irrigation practices in agriculture