Flow sensors are very essential in many aspects of our daily lives. Many of the industrial processes need a very consistent flow sensor to monitor and check for irregularities in their system. Therefore, flow sensor is an important tool for advanced operation in industrial environment. In this paper, the design and development of a 3D fabricated flow sensor was carried out using SolidWork 3D CAD. SolidWork Flow Simulation was used to model the effect the turbine flow sensor would have on a constant flowing water while MATLAB Simulink flow graph was created to visualize the effect of turbine flow sensor response with voltage input. Afterwards, the design was 3D printed using UP Plus 2 3D printer. The experimentation involved selection of sensors, coding to control the turbine flow sensor and automatic data logging and storage. During the design phase, the sensors and actuators were assembled using locally sourced material. Subsequently, under controlled laboratory environment, the turbine flow sensor was tested using a DC motor which was programmed to control the revolution per minute(rpm) of the turbine flow sensor. The rpm and velocity of the turbine flow meter was measured and stored in a database via Microsoft Excel using Cool Term Software. A total number of 517 readings were analysed to evaluate the performance of the turbine flow sensor. The result shows that the turbine flow meter is responsive to the motor input voltage and yielded accurate measurement of rpm and velocity of turbine flow meter.
Predictive maintenance: It is a method to analyze and evaluate the health status of equipment based on machine learning algorithm and failure model through periodic or continuous monitoring of equipment status, so as to predict the time of next failure and the specific time of maintenance.
IRJET- Automatic Irrigation System using ArduinoIRJET Journal
This paper proposes an automatic irrigation system that uses soil moisture sensors and an Arduino board to control a water pump. The system senses the moisture content of the soil and only provides water when the soil is dry, conserving water and ensuring optimal crop growth. When the soil moisture is high enough, the pump is switched off. The system can be controlled remotely using a wireless module and mobile app. Testing showed the system effectively irrigated soils based on their moisture levels. The automatic irrigation system saves water, labor, and improves crop yields compared to manual irrigation methods.
Solar energy is one of the most promising renewable sources that is currently being used worldwide to contribute for meeting rising demands. In this paper solar irradiance measurement will experimentally carried out in two different regions in Egypt; Cairo and Luxor cities. This paper proposes a simple solar lux measurement using a light dependent resistor (LDR) with an arduino kit. This technique is based on two approaches which are coarse and fine maximum sun lux determination. This is based on the predetermined 260 vertical slop of the LDR. Coarse tuning determines one of the reach sun lux quarter (900) of horizontal quad. The fine tuning allocates the optimized 100 in which; the maximum sun lux can be obtained. The optimal values of sun lux were found between the (90o–180o) quarter. This study confirms that the narrow ten degrees (95o-105o) are the optimized static sun lux extraction for the two site field measurements. This novel technique can be used for locating the angle of best installations for the solar cell at which maximum solar energy can be extracted.
In this project an automated greenhouse robot was built with the purpose of controlling the greenhouse
environment Parameters such as temperature and humidity. The microcontroller used to create the automated
greenhouse robot was an AT89s51. This project utilizes three different sensors, a humidity sensor, a Light
sensor and a temperature sensor. The 2sensors are controlling the two Relays which are a fan (for cooling) and
a bulb (for heating). The fan is used to change the temperature and the bulb is used to heat the plants. The
humidity control system and the temperature control system were tested both separately and together. The
result showed that the temperature and humidity could be maintained in the desired range.
IRJET- Smart Meter for Water Utilization using IoTIRJET Journal
This document proposes a smart water meter system using IoT technology to monitor household water consumption. The system uses a water flow sensor connected to a NodeMCU microcontroller to measure the flow rate and quantity of water used. The microcontroller sends this consumption data to the cloud where users can monitor their water usage. This allows charging households based on individual consumption rather than total usage, addressing issues with common meters. The proposed system aims to promote water conservation by providing visibility into water usage.
Effectiveirrigation water management beginswith timingand regulating irrigation water application in away that will satisfy the need of the crop without wastingwater,soil and cropnutrients. Thisinvolvessupplying water according to the crop requirement, quantity that canbe heldby the soil and is available tothe crop at ratestolerated according to the soil characteristics.So measuringwater infields is veryessential step in irrigation management systems. Thereare manywater flow measurement techniques aswell as different types of water flow meters used inirrigation tomeasure thevolume ofwaterflow in pipelines but these all are too costly. This paper describes design and development of low cost automaticwaterflow meter which supplies only required amount of water to the crops saving water as well as energy.G1/2 HallEffectwater flow sensor is usedas a sensing unitwith a turbine rotor inside it whosespeed of rotationchanges with the different rate of flowofwater.The Hall Effect sensoroutputs the corresponding pulse train for frequency input to the microcontroller.The whole system comprises of AT89S52microcontroller,G1/2 Hall Effect water flow sensor, relay, optocoupler, a water pump, 5V supply, LCD,keypadand some passive components.The AT89S52 microcontroller is programmedinKeildevelopment Tool
Design and development of automatic Water flow meterIJCSEA Journal
This document describes the design and development of an automatic low-cost water flow meter. It uses a G1/2 Hall Effect water flow sensor with a turbine rotor to measure water flow rate. As the rotor spins, the Hall sensor outputs a pulse train proportional to the flow rate. An AT89S52 microcontroller is programmed to convert this to a flow rate measurement displayed on an LCD. The system automatically turns off the water pump after a preset time to conserve water as per crop needs. Testing showed the sensor readings closely matched actual flow rates between multiplication factors of 1.7-2.0.
DESIGN AND DEVELOPMENT OF AUTOMATIC WATER FLOW METERIJCSEA Journal
Effective irrigation water management begins with timing and regulating irrigation water application in a
way that will satisfy the need of the crop without wasting water, soil and crop nutrients. This involves
supplying water according to the crop requirement, quantity that can be held by the soil and is available to
the crop at rates tolerated according to the soil characteristics. So measuring water in fields is very
essential step in irrigation management systems. There are many water flow measurement techniques as
well as different types of water flow meters used in irrigation to measure the volume of water flow in
pipelines but these all are too costly. This paper describes design and development of low cost automatic
water flow meter which supplies only required amount of water to the crops saving water as well as energy.
G1/2 Hall Effect water flow sensor is used as a sensing unit with a turbine rotor inside it whose speed of
rotation changes with the different rate of flow of water. The Hall Effect sensor outputs the corresponding
pulse train for frequency input to the microcontroller. The whole system comprises of AT89S52
microcontroller, G1/2 Hall Effect water flow sensor, relay, optocoupler, a water pump, 5V supply, LCD,
keypad and some passive components. The AT89S52 microcontroller is programmed in Keil development
Tool.
Predictive maintenance: It is a method to analyze and evaluate the health status of equipment based on machine learning algorithm and failure model through periodic or continuous monitoring of equipment status, so as to predict the time of next failure and the specific time of maintenance.
IRJET- Automatic Irrigation System using ArduinoIRJET Journal
This paper proposes an automatic irrigation system that uses soil moisture sensors and an Arduino board to control a water pump. The system senses the moisture content of the soil and only provides water when the soil is dry, conserving water and ensuring optimal crop growth. When the soil moisture is high enough, the pump is switched off. The system can be controlled remotely using a wireless module and mobile app. Testing showed the system effectively irrigated soils based on their moisture levels. The automatic irrigation system saves water, labor, and improves crop yields compared to manual irrigation methods.
Solar energy is one of the most promising renewable sources that is currently being used worldwide to contribute for meeting rising demands. In this paper solar irradiance measurement will experimentally carried out in two different regions in Egypt; Cairo and Luxor cities. This paper proposes a simple solar lux measurement using a light dependent resistor (LDR) with an arduino kit. This technique is based on two approaches which are coarse and fine maximum sun lux determination. This is based on the predetermined 260 vertical slop of the LDR. Coarse tuning determines one of the reach sun lux quarter (900) of horizontal quad. The fine tuning allocates the optimized 100 in which; the maximum sun lux can be obtained. The optimal values of sun lux were found between the (90o–180o) quarter. This study confirms that the narrow ten degrees (95o-105o) are the optimized static sun lux extraction for the two site field measurements. This novel technique can be used for locating the angle of best installations for the solar cell at which maximum solar energy can be extracted.
In this project an automated greenhouse robot was built with the purpose of controlling the greenhouse
environment Parameters such as temperature and humidity. The microcontroller used to create the automated
greenhouse robot was an AT89s51. This project utilizes three different sensors, a humidity sensor, a Light
sensor and a temperature sensor. The 2sensors are controlling the two Relays which are a fan (for cooling) and
a bulb (for heating). The fan is used to change the temperature and the bulb is used to heat the plants. The
humidity control system and the temperature control system were tested both separately and together. The
result showed that the temperature and humidity could be maintained in the desired range.
IRJET- Smart Meter for Water Utilization using IoTIRJET Journal
This document proposes a smart water meter system using IoT technology to monitor household water consumption. The system uses a water flow sensor connected to a NodeMCU microcontroller to measure the flow rate and quantity of water used. The microcontroller sends this consumption data to the cloud where users can monitor their water usage. This allows charging households based on individual consumption rather than total usage, addressing issues with common meters. The proposed system aims to promote water conservation by providing visibility into water usage.
Effectiveirrigation water management beginswith timingand regulating irrigation water application in away that will satisfy the need of the crop without wastingwater,soil and cropnutrients. Thisinvolvessupplying water according to the crop requirement, quantity that canbe heldby the soil and is available tothe crop at ratestolerated according to the soil characteristics.So measuringwater infields is veryessential step in irrigation management systems. Thereare manywater flow measurement techniques aswell as different types of water flow meters used inirrigation tomeasure thevolume ofwaterflow in pipelines but these all are too costly. This paper describes design and development of low cost automaticwaterflow meter which supplies only required amount of water to the crops saving water as well as energy.G1/2 HallEffectwater flow sensor is usedas a sensing unitwith a turbine rotor inside it whosespeed of rotationchanges with the different rate of flowofwater.The Hall Effect sensoroutputs the corresponding pulse train for frequency input to the microcontroller.The whole system comprises of AT89S52microcontroller,G1/2 Hall Effect water flow sensor, relay, optocoupler, a water pump, 5V supply, LCD,keypadand some passive components.The AT89S52 microcontroller is programmedinKeildevelopment Tool
Design and development of automatic Water flow meterIJCSEA Journal
This document describes the design and development of an automatic low-cost water flow meter. It uses a G1/2 Hall Effect water flow sensor with a turbine rotor to measure water flow rate. As the rotor spins, the Hall sensor outputs a pulse train proportional to the flow rate. An AT89S52 microcontroller is programmed to convert this to a flow rate measurement displayed on an LCD. The system automatically turns off the water pump after a preset time to conserve water as per crop needs. Testing showed the sensor readings closely matched actual flow rates between multiplication factors of 1.7-2.0.
DESIGN AND DEVELOPMENT OF AUTOMATIC WATER FLOW METERIJCSEA Journal
Effective irrigation water management begins with timing and regulating irrigation water application in a
way that will satisfy the need of the crop without wasting water, soil and crop nutrients. This involves
supplying water according to the crop requirement, quantity that can be held by the soil and is available to
the crop at rates tolerated according to the soil characteristics. So measuring water in fields is very
essential step in irrigation management systems. There are many water flow measurement techniques as
well as different types of water flow meters used in irrigation to measure the volume of water flow in
pipelines but these all are too costly. This paper describes design and development of low cost automatic
water flow meter which supplies only required amount of water to the crops saving water as well as energy.
G1/2 Hall Effect water flow sensor is used as a sensing unit with a turbine rotor inside it whose speed of
rotation changes with the different rate of flow of water. The Hall Effect sensor outputs the corresponding
pulse train for frequency input to the microcontroller. The whole system comprises of AT89S52
microcontroller, G1/2 Hall Effect water flow sensor, relay, optocoupler, a water pump, 5V supply, LCD,
keypad and some passive components. The AT89S52 microcontroller is programmed in Keil development
Tool.
IRJET- IoT based Flow Analyzing and Alerting SystemIRJET Journal
This document describes an IoT-based system for continuously measuring and analyzing water flow from a dam. The system uses flow sensors placed at multiple points along a river to measure flow rate, velocity, time taken, and distance covered. A Raspberry Pi processes the sensor data and stores it on the cloud. If the flow exceeds a threshold, an alert is sent. The system provides real-time water flow data and analysis in a tabular format to help monitor for flooding. It is a low-cost, efficient method for continuous water flow measurement and alerting.
Capacitive electrode sensor implanted on a printed circuit board designed for...journalBEEI
This document summarizes the design and testing of a water level sensor using a capacitive electrode implanted on a printed circuit board (PCB). The sensor uses 10 electrode fingers of increasing length on the PCB to measure water level capacitively. A signal conditioning circuit was also designed to process the capacitive signals from the electrodes. The sensor was tested in a lab setup using equipment like a multimeter and LCR meter. Test results showed the sensor's measured current and capacitance increased incrementally with rising water level from 0-30cm, demonstrating it can effectively be used to continuously monitor water level. The sensor achieved a transient response sensitivity of 0.0873ms/cm and resolution of 0.1cm over the tested
Monitoring And Analysis Of Aquatic Intake In Instructive BodiesIRJET Journal
This document describes a system for monitoring aquatic intake in educational institutions using wireless sensors and data analysis software. The system uses a turbine flow sensor attached to pipes to measure water flow rate. An RF module transmits the sensor data wirelessly to a monitoring station. There, a data acquisition system interfaces with LabVIEW software to display the water intake in real-time. The system allows continuous monitoring of water consumption and automated recording of usage data for analysis of usage patterns over time. The goal is to help reduce water usage through awareness of consumption levels.
IRJET- Design of Water Distribution Network System by using Branch SoftwareIRJET Journal
- The document describes the design of a water distribution network system for an area in Tuljapur, India using BRANCH software.
- BRANCH 3.0 was used to design an optimal and economical water distribution system to meet the needs of the area for the next two decades.
- The software was used to analyze the existing network, design a new network with pipes of different diameters, and determine the total cost of around 6.49 lakhs rupees for the 5855m pipe network to serve the area.
IRJET- IoT based Industrial Water Quality Monitoring SystemIRJET Journal
This document describes an IoT-based system for industrial water quality monitoring. The system monitors key water parameters like pH, turbidity, and temperature using sensors. It sends the sensor readings over WiFi to a NodeMCU microcontroller. The microcontroller then sends the data over the internet to a web page, allowing remote monitoring of the water quality in real-time. The system also has a GPS module to track the location of the sensor node. If the sensor readings exceed safe levels, it can automatically send an alert message to notify the relevant industry. The goal is to enable continuous monitoring of industrial wastewater to help control pollution and protect water resources.
This document describes a proposed smart water management system that uses various sensors and an Arduino microcontroller to monitor and control water usage. The system includes flow sensors to measure water usage, water level sensors to monitor tank levels, a GSM module to send data to the cloud for storage and analysis, and a solenoid valve and relay to control water distribution. The system aims to encourage efficient water usage by tracking individual usage and allowing administrators to manage supply. It provides real-time tank level information on an LCD display and automatically shuts off water flow if usage limits are exceeded to prevent waste. Data on usage is sent to a cloud server using the GSM module for remote monitoring of supply and demand.
Continuous Water distribution Network Analysis Using Epanet in Ambaji, Gujara...IRJET Journal
This document describes a study analyzing the water distribution network in Ambaji, Gujarat, India using EPANET software. The study obtained data on the existing 148-node, 148-pipe network from local authorities. It analyzed population growth projections and future water demand. Elevation data and pipe details were input into EPANET. The results showed head losses within acceptable limits to maintain constant pressure for Ambaji's continuous water supply system. The analysis demonstrated the existing network meets hydraulic and water quality standards for a 24-hour water supply.
IRJET- Fuel Theft Detection Location Tracing using Internet of ThingsIRJET Journal
This document summarizes a research paper on a fuel theft detection and location tracing system using Internet of Things. It discusses how the current framework has low accuracy in detecting fuel theft from vehicle tanks. The proposed system uses a flow sensor to calculate the amount of fuel filled and an ultrasonic sensor to continuously monitor the fuel level. If a sudden drop in fuel level is detected, the system will ring an alarm and notify the vehicle owner. It also allows fraudulent activities to be directly reported to authorities. The system stores historical data for future use.
IRJET- Software Sensor for Potable Water Quality through Qualitative and ...IRJET Journal
This document describes a software-based water quality monitoring system using sensors and the Internet of Things (IoT). The system aims to remotely monitor water quality parameters like pH levels and gas concentration in real-time to detect pollution. Sensors placed in overhead water tanks measure these parameters and send the data via a microcontroller and GSM module to an online database. Users can access this data through a webpage to monitor water quality without manual checks. The system seeks to efficiently manage water resources and ensure a continuous supply of clean water by enabling automatic real-time pollution detection and alerts.
IRJET- Water Level Monitoring System in Water Dispensers using IotIRJET Journal
This document presents a proposed system for monitoring water levels in multiple water dispensers using IoT technologies. The system uses ultrasonic sensors connected to an Arduino board to measure water levels in each dispenser. When the water level drops below a threshold, the Arduino sends a notification to an authorized mobile application via cloud messaging. This allows a single person to remotely monitor water levels across many dispensers and be notified when refills are needed. The proposed system aims to provide a more efficient solution than manual monitoring by automating notifications and enabling remote management of large numbers of dispensers from a mobile app.
1. The document proposes an automatic water billing system using sensors and wireless transmission to reduce costs, human errors, and improve accuracy of water billing.
2. The system would use a flow sensor to measure water usage, an Arduino board to calculate water consumption and bill amount, and RF transmission and GSM to remotely send the bill to the control station and customers.
3. The system aims to address issues with current manual water billing such as inaccurate readings, water theft, and wastage by automating the meter reading and billing process.
IRJET- Automatic Drip Irrigation System Using PLCIRJET Journal
This document describes an automatic drip irrigation system using a programmable logic controller (PLC). The system aims to reduce water consumption in agriculture and increase crop productivity by automatically and precisely controlling the supply of water and fertilizers to crops. It uses soil moisture sensors to monitor soil moisture levels, which are fed as inputs to the PLC. The PLC then controls pumps and valves based on a programmed logic to water the crops only when the soil is dry. The system operates in two modes - timer mode and sensor mode - according to farmer convenience. It is found that such a system can help optimize water usage and reduce labor needs in agriculture.
The Internet of Things (IoT) has provided promising opportunities to create powerful industrial and domestic applications. One of its main applications is smart metering. The existing analogue meter in residential area requires consistent human monitoring, which leads to computational errors. Huge labor force, their negligence and money invested are the drawback of such meters. Therefore, a cost effective and low power smart-meter that can monitor the daily consumption of water in residential area need to be developed, in order to conserve water. Here in this research, SOC based smart water meter is developed to provide cost effective solution. Further, the developed system is implemented in real time to investigate the reliability and feasibility.
This document describes a water level monitoring system that uses sensors placed at different levels in a water storage tank. The sensors detect the water level and send the information to a microcontroller. The microcontroller then displays the water level on an LCD screen and controls a motor and gate mechanism. The system aims to automate water level monitoring to reduce human labor needs and prevent overfilling of the tank. It provides real-time water level information and control of the water flow into and out of the storage tank.
Wireless sensor network platform for monitoring the industrial apparatusijiert bestjournal
Wireless Sensor Networks (WSNs) are one of the fastest gr owing and emerging technologies in the field of Wireless networking. WSNs have a vast amount of applications inc luding environmental monitoring,oil and gas,agriculture,inventory control,robotics and health care. Thi s paper focuses on monitoring and protection of oil and water operations using WSNs that are optimized to decre ase installation,and maintenance cost,energy requirements,increase reliability and improve communic ation efficiency. Such model could provide new tools for research in predictive maintenance and condition-base d monitoring of factory machinery in general and for open architecture machining system in particular. W ireless sensing no longer needs to be relegated to locations where access is difficult or where cabl ing is not practical. In our project we are using sensor such as vibration,temperature,level sensor,weight sensor
IRJET- Review Study on Analysis of Venturimeter using Computational Fluid Dyn...IRJET Journal
This document presents a literature review on the use of computational fluid dynamics (CFD) to analyze venturimeters. It summarizes 5 previous studies that used CFD to model venturimeter flow and compare results to theoretical calculations and experimental data. The studies found that CFD can be used to efficiently calibrate venturimeters, predict performance under non-standard conditions, and provide detailed flow information that is difficult to obtain experimentally. CFD results from the studies showed discharge coefficients decreasing with Reynolds number and generally agreed with analytical equations and experimental measurements. The literature review concludes that CFD provides an effective alternative to costly experiments for venturimeter calibration and analysis.
Development of mobile surface water filtration system through simulation usin...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Development of mobile surface water filtration system through simulation usin...eSAT Journals
Aim Testing the working of the mobile surface water filtration system through the design and simulation of a CPN generated schema Methodology For understanding the required action for different conditions the programming is developed using CPN tools for analysis of different conditions and obtaining a holistic picture of the system. Result The simulation model has demonstrated how the working of the mobile system is intended and has the actions of a microcontroller clearly cut out for the programmer to understand and write the code. Each module was looked upon in the different scenarios and the changes in the system after simulation were shown, providing a holistic understanding of the entire system. The sensors, microcontrollers and actuators have been discussed to bridge the gap between completely theoretical concepts to an implementable entity. Conclusion Impending release of tool for direct conversion of Coloured Petri Net simulation into hexadecimal format opens up infinite avenues for system modelling in Coloured Petri Net environment. The model design can be improved upon by adding time dependency property of CPN to simulate more dynamic and time dependant processes, this aspect has not been explored as a holistic illustration, but the system for mobile surface water filtration device has been thoroughly and holistically explained and explored. Key words: Coloured Petri Nets, simulation, modelling, filtration system, mobile, navigation, electro coagulation.
IRJET- Digital Water Management and Automatic Bill Generation SystemIRJET Journal
This document describes a system for digital water management and automatic bill generation. The system collects water consumption data from sensors connected to a microcontroller. It then transmits this data over the internet to a server where it is stored and analyzed. The system allows for live monitoring of water usage and generates accurate bills for each flat. It also has features like leakage detection and open tap detection to promote water conservation. The system is designed to address issues with traditional water metering and billing like lack of live monitoring, limited number of sensors, and inability to detect issues or generate detailed bills.
This document describes a proposed smart irrigation control system that uses sensors and a microcontroller to automate watering. The system aims to save water, labor, and increase yields by only watering when needed based on soil moisture levels and predicted rain. Sensors measure soil moisture, temperature and humidity. An Arduino microcontroller receives the sensor data and controls a relay to power sprinklers on or off as required. It also connects to the internet to check a weather API and stop watering if rain is predicted, avoiding waste. The system is intended to help farmers by reducing costs and workload while optimizing water use.
Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
Hyper-parameter optimization of convolutional neural network based on particl...journalBEEI
The document proposes using a particle swarm optimization (PSO) algorithm to optimize the hyperparameters of a convolutional neural network (CNN) for image classification. The PSO algorithm is used to find optimal values for CNN hyperparameters like the number and size of convolutional filters. In experiments on the MNIST handwritten digit dataset, the optimized CNN achieved a testing error rate of 0.87%, which is competitive with state-of-the-art models. The proposed approach finds optimized CNN architectures automatically without requiring manual design or encoding strategies during training.
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This document describes a system for monitoring aquatic intake in educational institutions using wireless sensors and data analysis software. The system uses a turbine flow sensor attached to pipes to measure water flow rate. An RF module transmits the sensor data wirelessly to a monitoring station. There, a data acquisition system interfaces with LabVIEW software to display the water intake in real-time. The system allows continuous monitoring of water consumption and automated recording of usage data for analysis of usage patterns over time. The goal is to help reduce water usage through awareness of consumption levels.
IRJET- Design of Water Distribution Network System by using Branch SoftwareIRJET Journal
- The document describes the design of a water distribution network system for an area in Tuljapur, India using BRANCH software.
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IRJET- IoT based Industrial Water Quality Monitoring SystemIRJET Journal
This document describes an IoT-based system for industrial water quality monitoring. The system monitors key water parameters like pH, turbidity, and temperature using sensors. It sends the sensor readings over WiFi to a NodeMCU microcontroller. The microcontroller then sends the data over the internet to a web page, allowing remote monitoring of the water quality in real-time. The system also has a GPS module to track the location of the sensor node. If the sensor readings exceed safe levels, it can automatically send an alert message to notify the relevant industry. The goal is to enable continuous monitoring of industrial wastewater to help control pollution and protect water resources.
This document describes a proposed smart water management system that uses various sensors and an Arduino microcontroller to monitor and control water usage. The system includes flow sensors to measure water usage, water level sensors to monitor tank levels, a GSM module to send data to the cloud for storage and analysis, and a solenoid valve and relay to control water distribution. The system aims to encourage efficient water usage by tracking individual usage and allowing administrators to manage supply. It provides real-time tank level information on an LCD display and automatically shuts off water flow if usage limits are exceeded to prevent waste. Data on usage is sent to a cloud server using the GSM module for remote monitoring of supply and demand.
Continuous Water distribution Network Analysis Using Epanet in Ambaji, Gujara...IRJET Journal
This document describes a study analyzing the water distribution network in Ambaji, Gujarat, India using EPANET software. The study obtained data on the existing 148-node, 148-pipe network from local authorities. It analyzed population growth projections and future water demand. Elevation data and pipe details were input into EPANET. The results showed head losses within acceptable limits to maintain constant pressure for Ambaji's continuous water supply system. The analysis demonstrated the existing network meets hydraulic and water quality standards for a 24-hour water supply.
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IRJET- Software Sensor for Potable Water Quality through Qualitative and ...IRJET Journal
This document describes a software-based water quality monitoring system using sensors and the Internet of Things (IoT). The system aims to remotely monitor water quality parameters like pH levels and gas concentration in real-time to detect pollution. Sensors placed in overhead water tanks measure these parameters and send the data via a microcontroller and GSM module to an online database. Users can access this data through a webpage to monitor water quality without manual checks. The system seeks to efficiently manage water resources and ensure a continuous supply of clean water by enabling automatic real-time pollution detection and alerts.
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1. The document proposes an automatic water billing system using sensors and wireless transmission to reduce costs, human errors, and improve accuracy of water billing.
2. The system would use a flow sensor to measure water usage, an Arduino board to calculate water consumption and bill amount, and RF transmission and GSM to remotely send the bill to the control station and customers.
3. The system aims to address issues with current manual water billing such as inaccurate readings, water theft, and wastage by automating the meter reading and billing process.
IRJET- Automatic Drip Irrigation System Using PLCIRJET Journal
This document describes an automatic drip irrigation system using a programmable logic controller (PLC). The system aims to reduce water consumption in agriculture and increase crop productivity by automatically and precisely controlling the supply of water and fertilizers to crops. It uses soil moisture sensors to monitor soil moisture levels, which are fed as inputs to the PLC. The PLC then controls pumps and valves based on a programmed logic to water the crops only when the soil is dry. The system operates in two modes - timer mode and sensor mode - according to farmer convenience. It is found that such a system can help optimize water usage and reduce labor needs in agriculture.
The Internet of Things (IoT) has provided promising opportunities to create powerful industrial and domestic applications. One of its main applications is smart metering. The existing analogue meter in residential area requires consistent human monitoring, which leads to computational errors. Huge labor force, their negligence and money invested are the drawback of such meters. Therefore, a cost effective and low power smart-meter that can monitor the daily consumption of water in residential area need to be developed, in order to conserve water. Here in this research, SOC based smart water meter is developed to provide cost effective solution. Further, the developed system is implemented in real time to investigate the reliability and feasibility.
This document describes a water level monitoring system that uses sensors placed at different levels in a water storage tank. The sensors detect the water level and send the information to a microcontroller. The microcontroller then displays the water level on an LCD screen and controls a motor and gate mechanism. The system aims to automate water level monitoring to reduce human labor needs and prevent overfilling of the tank. It provides real-time water level information and control of the water flow into and out of the storage tank.
Wireless sensor network platform for monitoring the industrial apparatusijiert bestjournal
Wireless Sensor Networks (WSNs) are one of the fastest gr owing and emerging technologies in the field of Wireless networking. WSNs have a vast amount of applications inc luding environmental monitoring,oil and gas,agriculture,inventory control,robotics and health care. Thi s paper focuses on monitoring and protection of oil and water operations using WSNs that are optimized to decre ase installation,and maintenance cost,energy requirements,increase reliability and improve communic ation efficiency. Such model could provide new tools for research in predictive maintenance and condition-base d monitoring of factory machinery in general and for open architecture machining system in particular. W ireless sensing no longer needs to be relegated to locations where access is difficult or where cabl ing is not practical. In our project we are using sensor such as vibration,temperature,level sensor,weight sensor
IRJET- Review Study on Analysis of Venturimeter using Computational Fluid Dyn...IRJET Journal
This document presents a literature review on the use of computational fluid dynamics (CFD) to analyze venturimeters. It summarizes 5 previous studies that used CFD to model venturimeter flow and compare results to theoretical calculations and experimental data. The studies found that CFD can be used to efficiently calibrate venturimeters, predict performance under non-standard conditions, and provide detailed flow information that is difficult to obtain experimentally. CFD results from the studies showed discharge coefficients decreasing with Reynolds number and generally agreed with analytical equations and experimental measurements. The literature review concludes that CFD provides an effective alternative to costly experiments for venturimeter calibration and analysis.
Development of mobile surface water filtration system through simulation usin...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Development of mobile surface water filtration system through simulation usin...eSAT Journals
Aim Testing the working of the mobile surface water filtration system through the design and simulation of a CPN generated schema Methodology For understanding the required action for different conditions the programming is developed using CPN tools for analysis of different conditions and obtaining a holistic picture of the system. Result The simulation model has demonstrated how the working of the mobile system is intended and has the actions of a microcontroller clearly cut out for the programmer to understand and write the code. Each module was looked upon in the different scenarios and the changes in the system after simulation were shown, providing a holistic understanding of the entire system. The sensors, microcontrollers and actuators have been discussed to bridge the gap between completely theoretical concepts to an implementable entity. Conclusion Impending release of tool for direct conversion of Coloured Petri Net simulation into hexadecimal format opens up infinite avenues for system modelling in Coloured Petri Net environment. The model design can be improved upon by adding time dependency property of CPN to simulate more dynamic and time dependant processes, this aspect has not been explored as a holistic illustration, but the system for mobile surface water filtration device has been thoroughly and holistically explained and explored. Key words: Coloured Petri Nets, simulation, modelling, filtration system, mobile, navigation, electro coagulation.
IRJET- Digital Water Management and Automatic Bill Generation SystemIRJET Journal
This document describes a system for digital water management and automatic bill generation. The system collects water consumption data from sensors connected to a microcontroller. It then transmits this data over the internet to a server where it is stored and analyzed. The system allows for live monitoring of water usage and generates accurate bills for each flat. It also has features like leakage detection and open tap detection to promote water conservation. The system is designed to address issues with traditional water metering and billing like lack of live monitoring, limited number of sensors, and inability to detect issues or generate detailed bills.
This document describes a proposed smart irrigation control system that uses sensors and a microcontroller to automate watering. The system aims to save water, labor, and increase yields by only watering when needed based on soil moisture levels and predicted rain. Sensors measure soil moisture, temperature and humidity. An Arduino microcontroller receives the sensor data and controls a relay to power sprinklers on or off as required. It also connects to the internet to check a weather API and stop watering if rain is predicted, avoiding waste. The system is intended to help farmers by reducing costs and workload while optimizing water use.
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Square transposition: an approach to the transposition process in block cipherjournalBEEI
The transposition process is needed in cryptography to create a diffusion effect on data encryption standard (DES) and advanced encryption standard (AES) algorithms as standard information security algorithms by the National Institute of Standards and Technology. The problem with DES and AES algorithms is that their transposition index values form patterns and do not form random values. This condition will certainly make it easier for a cryptanalyst to look for a relationship between ciphertexts because some processes are predictable. This research designs a transposition algorithm called square transposition. Each process uses square 8 × 8 as a place to insert and retrieve 64-bits. The determination of the pairing of the input scheme and the retrieval scheme that have unequal flow is an important factor in producing a good transposition. The square transposition can generate random and non-pattern indices so that transposition can be done better than DES and AES.
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Plant leaf identification system using convolutional neural networkjournalBEEI
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Customized moodle-based learning management system for socially disadvantaged...journalBEEI
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Understanding the role of individual learner in adaptive and personalized e-l...journalBEEI
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Prototype mobile contactless transaction system in traditional markets to sup...journalBEEI
1) Researchers developed a prototype contactless transaction system using QR codes and digital payments to support physical distancing during the COVID-19 pandemic in traditional markets.
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Wireless HART stack using multiprocessor technique with laxity algorithmjournalBEEI
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Implementation of double-layer loaded on octagon microstrip yagi antennajournalBEEI
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The calculation of the field of an antenna located near the human headjournalBEEI
In this work, a numerical calculation was carried out in one of the universal programs for automatic electro-dynamic design. The calculation is aimed at obtaining numerical values for specific absorbed power (SAR). It is the SAR value that can be used to determine the effect of the antenna of a wireless device on biological objects; the dipole parameters will be selected for GSM1800. Investigation of the influence of distance to a cell phone on radiation shows that absorbed in the head of a person the effect of electromagnetic radiation on the brain decreases by three times this is a very important result the SAR value has decreased by almost three times it is acceptable results.
Exact secure outage probability performance of uplinkdownlink multiple access...journalBEEI
In this paper, we study uplink-downlink non-orthogonal multiple access (NOMA) systems by considering the secure performance at the physical layer. In the considered system model, the base station acts a relay to allow two users at the left side communicate with two users at the right side. By considering imperfect channel state information (CSI), the secure performance need be studied since an eavesdropper wants to overhear signals processed at the downlink. To provide secure performance metric, we derive exact expressions of secrecy outage probability (SOP) and and evaluating the impacts of main parameters on SOP metric. The important finding is that we can achieve the higher secrecy performance at high signal to noise ratio (SNR). Moreover, the numerical results demonstrate that the SOP tends to a constant at high SNR. Finally, our results show that the power allocation factors, target rates are main factors affecting to the secrecy performance of considered uplink-downlink NOMA systems.
Design of a dual-band antenna for energy harvesting applicationjournalBEEI
This report presents an investigation on how to improve the current dual-band antenna to enhance the better result of the antenna parameters for energy harvesting application. Besides that, to develop a new design and validate the antenna frequencies that will operate at 2.4 GHz and 5.4 GHz. At 5.4 GHz, more data can be transmitted compare to 2.4 GHz. However, 2.4 GHz has long distance of radiation, so it can be used when far away from the antenna module compare to 5 GHz that has short distance in radiation. The development of this project includes the scope of designing and testing of antenna using computer simulation technology (CST) 2018 software and vector network analyzer (VNA) equipment. In the process of designing, fundamental parameters of antenna are being measured and validated, in purpose to identify the better antenna performance.
Transforming data-centric eXtensible markup language into relational database...journalBEEI
eXtensible markup language (XML) appeared internationally as the format for data representation over the web. Yet, most organizations are still utilising relational databases as their database solutions. As such, it is crucial to provide seamless integration via effective transformation between these database infrastructures. In this paper, we propose XML-REG to bridge these two technologies based on node-based and path-based approaches. The node-based approach is good to annotate each positional node uniquely, while the path-based approach provides summarised path information to join the nodes. On top of that, a new range labelling is also proposed to annotate nodes uniquely by ensuring the structural relationships are maintained between nodes. If a new node is to be added to the document, re-labelling is not required as the new label will be assigned to the node via the new proposed labelling scheme. Experimental evaluations indicated that the performance of XML-REG exceeded XMap, XRecursive, XAncestor and Mini-XML concerning storing time, query retrieval time and scalability. This research produces a core framework for XML to relational databases (RDB) mapping, which could be adopted in various industries.
Key performance requirement of future next wireless networks (6G)journalBEEI
The document provides an overview of the key performance indicators (KPIs) for 6G wireless networks compared to 5G networks. Some of the major KPIs discussed for 6G include: achieving data rates of up to 1 Tbps and individual user data rates up to 100 Gbps; reducing latency below 10 milliseconds; supporting up to 10 million connected devices per square kilometer; improving spectral efficiency by up to 100 times through technologies like terahertz communications and smart surfaces; and achieving an energy efficiency of 1 pico-joule per bit transmitted through techniques like wireless power transmission and energy harvesting. The document outlines how 6G aims to integrate terrestrial, aerial and maritime communications into a single network to provide ubiquitous connectivity with higher
Noise resistance territorial intensity-based optical flow using inverse confi...journalBEEI
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An approach of re-organizing input dataset to enhance the quality of emotion ...journalBEEI
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Parking detection system using background subtraction and HSV color segmentationjournalBEEI
Manual system vehicle parking makes finding vacant parking lots difficult, so it has to check directly to the vacant space. If many people do parking, then the time needed for it is very much or requires many people to handle it. This research develops a real-time parking system to detect parking. The system is designed using the HSV color segmentation method in determining the background image. In addition, the detection process uses the background subtraction method. Applying these two methods requires image preprocessing using several methods such as grayscaling, blurring (low-pass filter). In addition, it is followed by a thresholding and filtering process to get the best image in the detection process. In the process, there is a determination of the ROI to determine the focus area of the object identified as empty parking. The parking detection process produces the best average accuracy of 95.76%. The minimum threshold value of 255 pixels is 0.4. This value is the best value from 33 test data in several criteria, such as the time of capture, composition and color of the vehicle, the shape of the shadow of the object’s environment, and the intensity of light. This parking detection system can be implemented in real-time to determine the position of an empty place.
Quality of service performances of video and voice transmission in universal ...journalBEEI
The universal mobile telecommunications system (UMTS) has distinct benefits in that it supports a wide range of quality of service (QoS) criteria that users require in order to fulfill their requirements. The transmission of video and audio in real-time applications places a high demand on the cellular network, therefore QoS is a major problem in these applications. The ability to provide QoS in the UMTS backbone network necessitates an active QoS mechanism in order to maintain the necessary level of convenience on UMTS networks. For UMTS networks, investigation models for end-to-end QoS, total transmitted and received data, packet loss, and throughput providing techniques are run and assessed and the simulation results are examined. According to the results, appropriate QoS adaption allows for specific voice and video transmission. Finally, by analyzing existing QoS parameters, the QoS performance of 4G/UMTS networks may be improved.
Comparative analysis between traditional aquaponics and reconstructed aquapon...bijceesjournal
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
Null Bangalore | Pentesters Approach to AWS IAMDivyanshu
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
artificial intelligence and data science contents.pptxGauravCar
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
2. ISSN: 2302-9285
Bulletin of Electr Eng and Inf, Vol. 8, No. 3, September 2019 : 777 – 788
778
Researchers have heavily investigated on different mechanical flow sensors in [3-6] which are used
to detect velocity of water current. [6] used a mechanical flow sensor to get the inflow rate of water entering
the inlet canal while investigating the performance of the flow sensor in detecting the correct flow rate.
Unlike mechanical flow sensors, thermal flow sensors used thick film segmented thermistor to sense heat
changes corresponding to different flow velocity [7]. However, Magnetic flow sensors have not been able to
be established well in the ever-growing technology industry as their magnetic characteristics makes the
reading of the sensor to be inaccurate when it is used near areas that have high magnetic fields or elements
[8]. Acoustic sound waves were being used in [9, 10] to with an effective signal processing capable machines
or software that enables detection of flow rate easily. Microelectromechanical system (MEMS) sensors have
paved way into the technology market and are preferred due to their capability in [8, 11] of using
Nano-materials for optically assisted digital cameras and accelerometer for acquiring signals that corresponds
to moving fluid flow rate.
Figure 1. Original form of the Waltman meter [1]
In [12], they conducted a simulation on turbine flow sensor and its ability to detect flowing water.
The turbine flow sensor was analysed on its consistency as well as the reliability of the theoretical models in
which governs the method the flow sensor works. [13] utilised an ultrasonic sensor to find the right frequency
which could penetrate composite pipeline to check for the irregularities in the smooth flowing of multiphase
liquid. This shows another specialized method to use flow rate sensor for an industrial environment. [14]
used a different approach to enable liquid level to be measured using printed circuit board. this adds an
insight in different ways to integrate water flow sensor and liquid level sensor for a system. [15] used water-
pump motor to control the inflow of water in an indoor vertical farming environment. The use of soil
moisture with a water-pump motor enable a systematic design of an effective vertical farming which is an
integrative application involving flow rate measurement.
In [16], they adopt a motor-driven system which enable cleaning of high-rise building safe and
efficient. The application used a motor to maintain the amount of water outage which showed the
significance of a motor in aiding water flow control systems in many different applications and fields.
However, [17] investigated on Long Range (LoRa) Low Power Wireless Area Network (LPWAN) in its
adaptability for Internet of Things system which the flow sensor application can be further extended.
Therefore, the tremendous effort to make flow sensor integrative with many systems and applications can be
made more robust by using LoRa and LPWAN which enable autonomous control of systems with less
manual labour involved. These are the current investigation on flow rate sensors and the specific used in
current research work and industrial aspect as well.
Flow sensors have to be compact and easy to integrate with other sensors which is the reason
miniaturized flow sensors designs have been carried out in this study. This aim of this paper is to develop a
system whereby turbine flow sensor can be integrated in for continuous flow rate measurement. Analyses of
the turbine flow sensor will be carried out by using simulation approach and practical laboratory experiment
approach as well. Finally, the 3-D printed flow sensor was assembled and tested in a controlled laboratory to
access its performance. The research methodology section gives insight into the simulation steps and
practical phase. Then, the result analysis section is followed by conclusion section for this paper.
2. RESEARCH METHOD
2.1. Design and fabrication of turbine flow sensor
3D CAD Software are necessary for the sketching and assembly of the turbine flow sensor [12].
SolidWorks 2015 3D CAD Software is the software enabler that was used in the design of the turbine flow
sensor in the integrated design environment. The complete drawing of the turbine flow sensor can be seen in
Figure 2. The drawing of the turbine flow sensor was guided by few dimensions which were carefully
chosen, and their measurement are recorded. Extrude boss and filleting were the functions used in the
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software to make the 3D sketch of the turbine flow sensor possible. SolidWork enabled the assembling of the
six blades, shaft and hub. A fixed angle of 60° was kept apart for the blades to be arranged around the hub.
The dimensions of the turbine flow sensors are tabulated in Table 1 and those measurements were made sure
it can be acceptable for the 3D printer input. To ensure smooth rotation of turbine flow sensor, six blades
were optimum number of blades required. The completed 3D turbine flow sensor was saved in STL file
format and the image format was uploaded into the desktop connected to the UP Plus 2 3D printer. A class of
plastic filament named Acrylonitrile Butadiene Styrene-Polycarbonate (ABS-PC) was the material used to
print the turbine flow sensor under test. The ABS-PC filament diameter for the UP Plus 2 3D printer is
1.75mm. generally, the colour in which the 3D printer print is in a creamy white color. The weight of the
printed turbine flow sensor was 117.92 grams and 1.07 grams per cubic centimeter was the density of the
turbine flow sensor.
Figure 2. 3D view of turbine drawing [12]
Table 1. Dimension of turbine flow sensor parts [12]
Parts
Length of hypotenuse
side (cm)
Length of adjacent side
(cm)
Length of opposite
side (cm)
Length
(cm)
Width
(cm)
Radius
(cm)
Blade 4.15 3.84 2.29 - 3 -
Hub - - - 3 - 1
Shaft - - - 5 - 3
2.2. SolidWork flow simulation approach
The turbine flow sensor design had been imported into the Flow Simulation environment.
Flow simulation event was simulated and the integrated design environment in which it was done is shown in
Figure 3. Internal canal was represented by a cylinder and it encapsulate the turbine flow sensor while the
external rectangular cuboid encompasses the internal canal. Dimensions of the inner canal and rectangular
cuboid are given in Table 2. [18] dimensions were partially adopted, and modification were made
accordingly for the design in this article. A wizard from the flow simulation tab was used to show the steps
throughout the flow simulation process. Boundary condition, goals that are objectives of the flow simulation
and selected medium which is water were chosen in the parameters for the flow simulation animation.
The targeted objective were global goals and surface goals in this simulation. Velocity of water at 2.5m/s and
5m/s were the two-different variable of the simulation settings carried out. Thus, allowing the simulation to
run its course while evaluating the effect it would have on the turbine flow sensor by choosing these two-
different velocities of water
Figure 3. Pre-process before Solidwork simulation [12]
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Table 2. Dimension of canal and external rectangular cuboid [12]
Components
Length
(cm)
Width
(cm)
Height
(cm)
Radius
(cm)
Thickness
(cm)
Internal canal 43.7 - - 7.2 1
External rectangular cuboid 106.5 19.41 19.54 - 1.5
2.3. MATLAB simulink simulation approach
The Simulink simulation was carried out in MATLAB R2015 Edition. DC voltage source,
controlled PWM Voltage, H-Bridge, Current Sensor, Ideal rotational motion sensor, DC motor, PS-Simulink
Converter and a scope were the block components utilized in this simulation [19]. Figure 4 depicts the block
diagrams of the electrical circuit connection controlled PWM voltage emits pulse width modulation signal
which is 4kHz while the voltage source distributes 2.5 V at every signal burst. Current sensor senses the
current output, the H-bridge drives the motor and ideal rotational motion sensor senses the revolution per
minutes of the motor. Armature inductance of 12V DC motor chosen in this simulation is 0.01 henry.
The scope is where the result of the simulation goes to for each run.
Figure 4. Block diagram of electrical block inside Simulink [12]
2.4. Performance metrics of turbine flow sensor
The schematic of the system is shown in Figure 5. Prasetyo, Budiana, Tjahjana & Hadi. (2018) [20]
design approach was adopted with few modifications as shown in Figure 2. The horizontal axis water turbine
of Prasetyo et al. (2018) [20] chose 6 blades as their optimum design requirement for a smooth-running water
turbine. This paper also took 6 blades as a design requirement to enable smooth rotational movement.
Turbine theory was employed which means rotational movement of the turbine blades is able to calculate the
flow rate of moving water. A rotational force is subjected on the turbine blades as water moves pass in which
energy is transferred from the flowing water to the turbine flow sensor for an effective measurement of flow
rate to take place. The encoder depicted in Figure 5 which is attached to the turbine flow sensor’s hub enables
rotational speed measurement. The motor is connected to the microcontroller to take the readings for the
linear speed of the turbine flow sensor. The DC motor was used to drive the turbine flow sensor to examine
the torque and voltage requirement for tilting the fabricated flow sensor as shown in Figure 5.
Conversion of electrical energy into mechanical energy is the job of a DC motor. The electric circuit
representation of the DC motor is given in Figure 6(a). E represents the input voltage when current , flows
through the rotor armature brushes around the circuit. The backward electromotive force emitted is directed
opposite to the voltage supplied and the input into armature has resistance, Ra. Electric field and magnetic
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field cross path to produce mechanical force in a DC Motor [21]. The relationship between the voltage and
current flow in a DC motor is given in (1).
(1)
Figure 5. 2-D schematic diagram of the turbine flow sensor system
The torque formula of a DC motor is given in (2).
(2)
where is torque, I is current flow, V is E which is voltage, E is efficiency of the motor and rpm is revolution
per minute.
An encoder wheel is showed in Figure 7 and it will be used with a photo-interrupter. The electrical
representation of the photo-interrupter is shown in Figure 6(b). The turbine flow sensor will be measured in
revolution per minute (rpm) with the use of the photo-interrupter. Photo interrupter are an integrated device
that has an upright infrared emitter and an upright shielded infrared detector (phototransistor) [22]. Photo
interrupter allows electrical current to flow in it which lights up the LED and then the light enters the
phototransistor while the light is converted into current. is the collector current, and its expression is given
in (3) to show the relationship between the base current , hFE(β) and gain.
(3)
(a) (b)
Figure 6. (a) DC motor electrical circuit representation, (b) electrical diagram of photo interrupter
The encoder can be depicted as the photo interrupter which enables the turbine flow sensor to get
the revolution per minute. The relationship between rpm and linear velocity is given in (4).
( ) ( ) (4)
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2.5. Selection of microcontroller, sensors and laboratory experiment
The turbine flow meter adopted the working mechanism of a motor which converts mechanical
energy into electrical energy. The same concept is used on a generator as the generator(motor) in the dynamo
act as the mechanical part to convert mechanical movement to electrical lighting. A photo interrupter as
shown in Figure 7(a) was used to get the revolution per minute (rpm) while a 24V DC Motor (Figure 7(b))
was used to drive the turbine flow meter for experimentation purpose. The motor power outage is 1.61 Watts
and it has a stall torque of 0.0188N.m. The photo interrupter acts as the encoder for the turbine flow meter to
get the rpm [3]. The relationship between rpm and linear velocity is given in (4). The unit of linear velocity is
usually in metre/sec, but the experimentation carried out used metre/min for a better resolution.
The motor is powered by an Arduino Uno (Figure7(c)) which can only output 40mA for each digital
input and output pins. The digital input and output pins of the Arduino were used to control the voltage input
for the motor. The voltage used were divided into 5 segments which were 5, 10, 15, 20 and 24 volts
respectively. The motor was programmed to convert the reference voltage Arduino used which is between 0
to 255. The reference voltage was divided into equal voltages of 5, 10, 15, 20 and 24 which are 53.125,
106.25, 159.375, 212.5 and 255. The photo-interrupter which is an optical rpm sensor is programmed to
respond to the encoder wheel as shown in Figure 7(d) rotation that has slots which allows for light to pass
through it. The slot is the point where the photo interrupter calculates the number of turn and reads rpm of the
turbine flow meter. The encoder wheel has 20 slots and a radius of 1.25 centimeter.
(a) (b) (c) (d)
Figure 7. (a) photo interrupter, (b) 24 VDC motor, (c) Arduino Uno, (d) Encoder wheel
The shaft of the turbine flow meter is inserted into the hole in the center of the encoder wheel to
calculate the linear velocity in this experiment. The Motor was firmly attached to a rectangular box which has
dimensional size of 15 15 5 cm as shown in Figure 8. The workflow is given in Figure 9 which showed the
overall steps taken to analyze the turbine flow sensor. The flow of current coming from the voltage input to
the motor provides a torque powerful enough to rotate the turbine flow meter which rotates the encoder
wheel and Arduino records the rpm of the turbine flow meter along with its linear velocity. The calculated
output torque of the motor for 15V, 16V, 20V and 24V is 0.091 N.m, 0.0521N.m, 0.025N.m and 0.023N.m
respectively. The torque decreases with increasing voltage because the Arduino Uno 5V regulator controls
the current coming from the USB port or the power source. The voltage input increases the rotational
speed(rpm) of the motor while the current drawn by the motor increase output torque of the motor.
Figure 8. Experiment environment
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Figure 9. Workflow diagram
3. RESULTS ANALYSIS and DISCUSSION
3.1. Result analysis of SolidWork flow simulation
Flow trajectories results of water in the flow simulation is discussed in this section as well as the
response of the turbine flow sensor during the simulation period. The targeted goal of this simulation is
primarily to give the global goal velocity and surface goal volume flow rate. As a means of obtaining
successive closer approximations for the flow simulation, the simulation process for the two-different
velocities of water went through 108 iterations. To show the degree of velocity at the point where the water
meets the turbine flow sensor a heat map was used in the simulation. The trajectory length represents the
length of the canal. Figure 10(a) showed the flow trajectory animation which implies that the turbine flow
sensor obstructed the flow of water in the canal more than the flow trajectory animation in Figure 10(b).
Velocity of water set at 1.5m/s showed at Figure 11(a) implies that the increased around the turbine flow
sensor was more than the turbine flow sensor’s velocity of water set at 5m/s showed at Figure 11(b).
These two observations match the theory that turbine flow sensor behave like an actuator and is affected
by the speed at which the flow velocity collides with the water particles. A reduction was observed in
the flow velocity of Figure 12(a) and Figure 12(b) after the water met the turbine flow sensor.
(a) (b)
Figure 10. (a) Flow trajectory animation velocity at 1.5m/s, (b) Flow trajectory of velocity at 5m/s
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A 70% reduction in velocity was seen from the flow velocity set at 1.5m/s as the velocity went from
1.5 m/s to 0.8 m/s. A 10% reduction in velocity was seen from the flow velocity set at 5 m/s as the velocity
went from 5 m/s to 4 m/s because of the turbine flow sensor obstruction which took place at the center of the
flow trajectory. flow velocity set at 5 m/s showed lesser percentage reduction because the flow trajectory
maintained a higher velocity even after the water has passed through the turbine flow sensor. the surface and
global goal of the simulation were tabulated in Table 3. Overall goal of the flow simulation corresponds to
the global goal while the surface goal represents the turbine flow sensor additional goal. As seen from
Table 3, global goal velocity of 0.108m/s and a surface goal volumetric flow of 9.95E-5 m3
/s is realised from
flow velocity set at 1.5 m/s. At the same instance, global goal of 0.983 m/s and a surface goal volumetric
flow of 99.4E-5 m3
/s is pointing towards 5m/s flow velocity and these values showed a trend that was not
expected but they are enough to prove that turbine flow sensor was obstructing the trajectory of the flow of
water. Expression (5) showed the formula of flow rate given as:
(5)
(a) (b)
Figure 11. (a) cross sectional flow trajectory of velocity at 1.5m/s, (b) cross sectional flow trajectory of
velocity at 5m/s
(a) (b)
Figure 12. (a) Flow trajectory plot of velocity at 1.5m/s, (b) Flow trajectory plot of velocity at 5m/s
Table 3. Simulation Result of flow velocity at 1.5m/s and 5m/s [12]
Simulation result for fixed velocity at 1.5m/s
Goal Name (X direction) Unit Value Averaged Value Minimum Value Maximum Value
Global Goal Velocity [m/s] 0.102882 0.108431375 0.10288216 0.117768839
Surface Goal Volume Flow Rate [m3
/s] 4.57e-06 9.95e-05 -0.000144392 0.000301166
Simulation result for fixed velocity at 5 m/s
Goal Name Unit Value Averaged Value Minimum Value Maximum Value
Global Goal Velocity [m/s] 0.983866 0.982595626 0.972413984 1.018583914
Surface Goal Volume Flow Rate [m3
/s] 0.001381 0.000994398 -0.001431613 0.002485519
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3.2. Result analysis of simulink simulation
Two plots from the Simulink simulation were achieved as shown in Figure 12. A rapid increment in
speed from 0 rad/s to 200 rad/s was seen in Figure 13(a) when 2.5 volts is supplied to the 12 VDC motor.
A reduction in current output of the motor from 1.5 A to 0 is depicted in Figure 13(b). A maximum rpm of
2000 rad/s was only able to be reached because the voltage supplied is limited to only 2.5V only. However,
the current output started with a maximum output current of 1.5 A and ended with 0 A because there is a
transient response at the H-bridge at the instant when eelectromotive force burst occurred. The effect of
transient response on the motor can be seen when the motor is supplied with voltage which is depicted at the
current plot. Thus, this result validates the flow simulation the turbine flow sensor in Figure 2 will get an
electrical response when flowing water comes in contact with it.
(a) (b)
Figure 13. (a) simulation output of motor rpm against time, (b) simulation output of motor current and time
3.3. Result analysis of test conducted on the fabricated flow sensor
The data from the experimentation was recorded with CoolTerm Software which connects to the
input port of Arduino Uno. The data from the Coolterm software was exported into Microsoft Excel 2010 for
further data analysis. Table 4 showed 80 out of 517 raw data in Excel with two rows, rpm and speed
displaying the raw values from the practical simulation carried out using Arduino Uno. Figure 14 showed the
plot for the rpm and speed of turbine flow sensor against time and Figure 15 showed the rpm against speed of
turbine flow sensor. Figure 14 showed the different voltage input and the rpm and speed response
respectively against the time elapsed during the experiment. The voltage applied to the flow sensor represents
the force of water movement on the fan blades of the flow sensor. The plot revealed that as the voltage input
increased the rpm and the speed of the turbine flow increases as well. Furthermore, Figure 14 showed that the
minimum voltage to give enough torque to the motor to rotate the turbine flow sensor is 15 volts using the
24V DC motor. The average rpm recorded for 15V, 16V, 20V and 24V input voltage into the motor are 169
rad/s, 295 rad/s, 603 rad/s and 681 rad/s. The average speed in meter per min (m/min) for 15V, 16V, 20V and
24V input voltage into the motor are 13.28 m/min, 23.16 m/min, 47.39 m/min, 63.47 m/min. XLStat was
used to produce the descriptive statistical analysis of the data set from the experiment. Figure 15 also
represents the Linear Regression plot for the rpm against speed of the turbine flow meter. The correlation
matrix from the linear regression analysis produced a coefficient of determination (R2
) of 1 and a Root Mean
Square Error (RMSE) of 0. This showed that there is a strong relationship between the rpm and the speed of
the turbine flow meter. Therefore, this validates the experimentation and showed that the turbine flow sensor
can read flow velocity accurately.
The contribution on this research work can be seen by comparing it with [20]. It can be seen clearly
that the system described in this research is a laboratory experimental testbed while [20] was only a
simulation. Furthermore, the system built in this work requires less torque compare with [20] for the turbine
blade. In a nutshell, this experimental test bed has tested the flow sensor ability to measure flow consistently
and continuously.
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Table 4. Raw data from experiment
15 volts 16 volts 20 volts 24 volts
rpm speed rpm speed rpm speed rpm speed
201 15.7785 201 15.7785 462 36.267 666 52.281
165 12.9525 255 20.0175 567 44.5095 684 53.694
186 14.601 291 22.8435 606 47.571 654 51.339
168 13.188 306 24.021 633 49.6905 678 53.223
183 14.3655 291 22.8435 633 49.6905 666 52.281
153 12.0105 300 23.55 618 48.513 678 53.223
198 15.543 303 23.7855 633 49.6905 684 53.694
156 12.246 306 24.021 624 48.984 687 53.9295
192 15.072 303 23.7855 627 49.2195 684 53.694
159 12.4815 285 22.3725 609 47.8065 663 52.04551
165 12.9525 294 23.079 624 48.984 666 52.281
150 11.775 294 23.079 600 47.1 690 54.165
186 14.601 285 22.3725 597 46.8645 690 54.165
147 11.5395 300 23.55 618 48.513 672 52.75201
186 14.601 297 23.3145 609 47.8065 678 53.223
168 13.188 294 23.079 609 47.8065 684 53.694
174 13.659 297 23.3145 648 50.868 684 53.694
162 12.717 297 23.3145 621 48.7485 693 54.40051
177 13.8945 291 22.8435 621 48.7485 690 54.165
165 12.9525 285 22.3725 603 47.3355 690 54.165
Figure 14. Time series plot of rpm and speed Figure 15. Plot of rpm against speed
4. CONCLUSION
A state of the art flow sensor has been designed and it usage has been practicalized by accessing its
performance. Consecutively, this study has both consumed the both the simulation phase and the practical
testing of the turbine flow sensor with a critical measure of the performance of the turbine flow sensor.
The SoldWork 3D CAD software has made the fabrication of the turbine flow sensor possible. The flow
sensor has been tested under laboratory settings and it was found that the coefficient of determination is 1
which is a strong representation of the relationship between the flow velocity and revolution per second of
the motor subjected in a rotational motion. Under laboratory experiment, the turbine flow sensor performed
efficiently by measuring water flow rate in a standardized environment. The mean flow rate shows strong
consistency with increasing force of water applied on it. Future work will need to integrate other sensors in
order to know the sensitivity of this turbine flow sensor in being able to detect flow rate readings effectively.
The turbine flow sensor is still in development stage but it’s ability to survive in outdoor environment would
also be a very good aspect to test in the future work as well.
ACKNOWLEDGEMENTS
This work was conducted in IOT and Wireless Communication Protocols Lab, and is partially
funded by IIUM Publication RIGS grant no. P-RIGS19-003-0003 and the Malaysian Ministry of Education
(MOE) research fund No. FRGS16-067-0566.
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BIOGRAPHIES OF AUTHORS
Abdullahi Salami recently acquired his Bachelor’s degree in Telecommunication Engineering
from International Islamic University Malaysia in 2018 and he is pursuing his Master in
Telecommunication Engineering in International Islamic University Malaysia. His research
interests are towards the fields of Telecommunications, Internet of Things, Data Analytics and
Electronics. E-mail address:abdusalife@gmail.com
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Mohamed Hadi Habaebi is with the department of electrical and Computer Engineering,
International Islamic University Malaysia. His research interests are in IoT, wireless
communications and Networking.
Noreha Abdul Malik received her BEng in Medical Electronics from University of Technology
Malaysia (2001) and later pursued her MEng in Communication and Computer Engineering at
National University of Malaysia (2004). She later received her PhD in Electronics and
Electrical Engineering from University of Southampton, United Kingdom (2011). She is
currently an assistant professor at International Islamic University Malaysia (IIUM). Her
research interests are in biomedical signal processing and biomedical applications. She is a
member of Institute of Engineers Malaysia (IEM) and Board of Engineer Malaysia (BEM).