Load Cell Sensor Research Articles

Stock of Nuts/Bolts System With A Load Cell Sensor of Digital Scale As An Iot-Based

The passage highlights the importance of having a reliable supply of nuts and bolts for Micro, Small, and Medium Enterprises (MSMEs) involved in the manufacturing of appropriate technology tools. Nuts and bolts are critical components in the production process of such manufacturing. Therefore, it is essential to ensure their constant availability to avoid interruptions in the workflow. Currently, many MSMEs still monitor their stock levels manually. This manual method has its drawbacks, as stock levels can sometimes go unnoticed, leading to stockouts when the components are needed. When stock runs out unexpectedly, it can cause delays, as additional time is required to purchase more supplies from wholesalers. In this study, a digital scale with a load cell sensor was developed as a medium for taking inventory or stocking bolts and nuts. This device features several buttons: a button for selecting the size of bolts or nuts, a button for choosing between stocking or taking items, and a button for displaying stock information of bolts or nuts in the warehouse. The results from this digital scale are sent to a website using the Internet of Things (IoT) system as a communication medium between the digital scale and the monitoring website. The results of this study show that the digital scale has an accuracy of 99.95%, and the accuracy of the counted items or stock is 100%.

IoT- enabled crop waste mulching machine for sustainable farming: perspective of circular economy

Abstract A large amount of crop waste is generated after crop harvesting. A substantial quantity of waste on the farm is burnt to clear the field, contributing to environmental harm and global warming. The study aims to develop a technological solution for crop waste management (CWM) by designing and developing an IoT-enabled crop waste mulching machine. This initiative addresses the environmental and health issues caused by burning crop waste on farms. The research involves designing and developing an IoT-enabled mulching machine that can be attached to the back side of a tractor. The machine consists of power-transmitting elements, supports, and mechanisms to distribute mulching material evenly onto the plant bed. It incorporates advanced IoT load cell sensors, soil moisture sensors, and proximity sensors to optimize the mulching process based on soil moisture content and to prevent machinery blockages. The IoT-enabled mulching machine effectively manages crop waste by utilizing it in mulch, thus preventing the harmful practice of burning waste. This machine ensures a more efficient, safer, and environmentally friendly approach to mulching, offering significant improvements over traditional manual mulching methods. The novelty of this research lies in integrating IoT technologies within mulching machine. The mulching machine uses sensors to automate and optimize the mulching process, representing a significant technological advancement over conventional methods. The study offers practical benefits by reducing labour requirements, minimizing the risk of injuries, and ensuring a more uniform mulch application. This technology facilitates more sustainable farming practices, aligning with global sustainability goals. The study can potentially revolutionize the agricultural equipment manufacturing industry (AEMI) by shifting the focus toward environmental sustainability. It promotes replacing plastic film mulching machines with more eco-friendly crop waste mulching solutions. This technology has the potential to reduce air pollution, carbon emissions, and mitigate climate. It also enhances soil health through better mulching practices.

Nutritional Status Collection Using Height And Weight Indicators At Posyandu Latalanyir Based On The Internet Of Things

This research aims to develop a nutritional status data collection system at Posyandu Latalanyir using height and weight indicators based on the Internet of Things (IoT). This system is designed to simplify the process of measuring and collecting data on the nutritional status of toddlers, as well as increasing the accuracy and efficiency of data processing. The approach used involves using an ultrasonic sensor to measure body height, an HX711 load cell sensor to measure body weight, and an ESP8266 module to send data to the Blynk platform. The collected data will be processed to calculate Body Mass Index (BMI) and sent to the Blynk application for real-time monitoring. The results of this research show that the system developed can measure height and weight accurately, as well as provide nutritional status data that can be easily accessed by health workers at posyandu. The conclusion of this research is that the IoT system developed is effective in improving the quality of nutritional status data collection in posyandu, as well as providing significant benefits in monitoring the nutritional development of toddlers.

Design and Implementation of an IoT-Based Intravenous Infusion Monitoring System Using Wireless Sensor Network

This research presents a Wireless Sensor Network (WSN) based infusion monitoring system that utilizes Internet of Things (IoT) technology to enhance infusion management in healthcare. Manual supervision often lacks the necessary accuracy and control, making automated solutions crucial. Our system employs optocoupler and load cell sensors to calculate the infusion drop rate per minute and assess the remaining fluid percentage. Tests conducted demonstrated that optocoupler sensors effectively measured the drop rate, while load cell sensors accurately determined fluid levels. Measurement results are easily monitored via smartphone, granting healthcare professionals rapid access to vital data. A key innovation of this system is its ability to enable remote monitoring through WSN, allowing a single nurse to oversee multiple infusions with just one smartphone. The test results indicate impressive accuracy, achieving an average precision rate of 97% for drop rate measurements and 93% for remaining fluid percentage measurements. Overall, this system offers an efficient and controlled approach to infusion fluid management, ensuring optimal care for patients. By integrating IoT and WSN technologies, this research lays the groundwork for developing more advanced and interconnected infusion monitoring systems, ultimately enhancing patient care in today's globalized healthcare environment.

Tempat Sampah Otomatis Menggunakan Sesnsor Ultrasonik Berbasis Arduino Uno

The importance of innovation in waste management is increasingly felt in this modern era. This research introduces an automated waste handling system utilizing Arduino Uno-based sensors. Arduino Uno, as a versatile microcontroller, is employed to control the automation process in waste bins. Integrated ultrasonic and load cell sensors assist in identifying the presence of individuals disposing of trash and monitoring the weight of the waste, triggering the automatic disposal mechanism. This implementation not only enhances the efficiency of waste management but also provides convenience for sanitation workers. The study details the design, implementation, and performance evaluation of the automated waste bin system, showcasing the potential utilization of Arduino Uno technology in creating intelligent and sustainable solutions for waste management.

Design and Implementation of Home Industrial-Based Automatic Granulated Food Weighing Machine

Automation activities are now required in manufacturing processes. This process can provide very effective and efficient performance results, particularly for industrial processes that require a specific standard, such as those used in the granulated food product industry, such as sugar, rice, coffee, and other products. Fast, sanitary packaging processes and standard weights are the main focus of the manufacturing process. This is not a significant barrier at the level of an established industry, whereas, in traditional processes, this is still the main impediment since automated weighing systems at reasonable prices are still challenging to come by in small and medium-sized businesses. This study proposes the development of a prototype weighing mode that can maintain the weight accuracy of powder materials (sugar, rice, and coffee) before they are placed in product packaging. The research employed the experimental method, utilizing a load cell sensor and a screw conveyor to precisely measure the weight of powder raw materials based on the user-specified size and parameters. It is also equipped with a data deviation memory. Some testing was conducted to ensure the accuracy of the prototype. Based on the test results, this system can work with an accuracy rate of 99.693% at parameters 120 grams and 99.677% when testing the weight of powder raw materials of 120 grams, 125 grams, and 175 grams, respectively.

Development of an Automatic Portable Calibrator for Tipping Bucket Rain Gauge (TBRG) Using a Load Cell and Simple Water Sensor

The tipping bucket rain gauge is an automatic rain gauge that can measure rain intensity in mm/hour. Accurate measurement of rain intensity requires calibration of the rain gauge to ensure traceability. Calibration of a tipping bucket rain gauge is related to the volume of water as a calibration medium and time so as to produce a discharge that can be converted into rain intensity. Technological developments can make tipping bucket rain gauge calibration automatic by utilizing an Arduino Mega2560 microcontroller, a load cell and a simple water sensor based on the LM393 comparator IC, and combined with a compact design printed using a three-dimensional printer so that it can be used for ex-situ calibration. The data produced by this tool can be downloaded via the application that was built and produces a file in Excel form.

Magazine Identification on SS1-V1 Assault Rifle using Web-based HX711 Load Cell Sensor

The SS1-V1 is an assault rifle model equipped with a magazine as one of its main components. The magazine plays a crucial role in storing and loading ammunition. However, magazines must be stored separately from the weapon as their integrated storage can pose a risk to a country’s security. Therefore, this research proposes a web-based system capable of identifying the presence of magazines in weapons in real-time. This system is supported by various hardware components, including a load cell sensor, HX711 sensor module, Arduino UNO R3, and an Ethernet shield for network connectivity. In addition, API is used for data management, which is then stored in the database. The results of this research indicate that the average response time for each rack within a cabinet is between 2.7s to 3.3s, while for racks serving as slaves, it ranges from 14.16s to 15.01s. Based on the results of the weight-based weapon identification testing, there is a weight difference of 0.1kg to 0.2kg. These results state that all tests were successfully identified by the web system according to the conditions of the weapons on the rack.

Design and Development of a Body Fat Percentage Measurement System Using the Bioelectrical Impedance Analysis (BIA) Foot-to-Foot Method

A person's nutritional status is ideally determined based on a body composition assessment, which differentiates the fat mass and fat-free mass in a human body. Fat and fat-free mass can be calculated using a non-invasive method called bioelectrical impedance analysis (BIA). In this research, a body fat measurement system was designed using the BIA foot-to-foot method, which is also equipped with the automatic body mass and height measurements system using a load cell sensor and a ToF VL53L1X sensor. The BIA method is designed to flow a 0.4mA current with a frequency of 50kHz into the body using four electrodes through the object’s feet. Other parameters required in this system, such as age and gender, will be entered using the keypad. The computing and data processing process uses an Arduino Nano microcontroller and is displayed on the LCD. The system that has been designed is then compared with a similar measuring instrument, Mi Scale Body Composition 2. The results obtained in this study are: the average error value for measuring body weight is 0.43kg; the average error for measuring height is 1.13cm; the average error in measuring BMI is 0.32 kg/m2; and the average error in measuring body fat percentage is 3.25%.

Alat Feeding Ayam Otomatis Berbasis Arduino

The increasing population in Indonesia has resulted in increased food needs. One of the factors that affects chicken production is the management of the feeding system. The purpose of this study is to design and create an automatic chicken feeder based on Arduino. Calibrate the Load Cell Sensor. Control the AC motor as a metal screw driver for feeding with a load cell sensor. Determine the amount of chicken feed according to the specified setting point and Connect the MCU Node to the telegram. This study uses the "Research and development" research method. Consisting of literature studies, hardware design, software design, tool design, and data collection, analysis and conclusions. Overall testing was carried out for 2 days starting from 6 am to 4 pm. The capacity of the tank is filled with 3 kg of feed. The setting point for feeding in the morning is 200 grams while in the afternoon it is 300 grams, for feed output there are 2 containers. Testing on the first day at 7 am the weight of the feed coming out of container 1 was 221 grams while in container 2 it was 225 grams, for 4 pm the weight of the feed coming out of container 1 was 352 grams while in container 2 it was 357 grams. Testing on the second day at 7 am the weight of the feed coming out of container 1 was 219 grams while in container 2 it was 221 grams, for 4 pm the weight of the feed coming out of container 1 was 346 grams while in container 2 it was 348 grams. Telegram notification sends a message when the amount of feed remaining is 1405 grams. The results of the weight of the feed coming out are different from the specified setting point value, the amount of feed coming out exceeds the setting point value. This is because the output hole of the feed that comes out through the PVC pipe is too large. An "automatic chicken feed tool based on Arduino" has been successfully created, the tool created is equipped with a load cell sensor that facilitates the process of feeding chickens. Making a system for pouring feed into the hopper automatically by making a conveyor so that it does not need to be done manually. Making automatic chicken feed based on Arduino on a large scale so that it can cover a larger number. Addition of making automatic drinking places on automatic chicken feed based on Arduino.

A mechanism to reduce shoulder strain of backpack wearers

Backpacks are a convenient means of carrying the load. Its continuous usage has led to severe shoulder injuries and back pain due to the dynamic forces exerted by the weight of the backpack on the shoulders of the wearer during running or walking. A traditional backpack moves up and down repeatedly with the shoulder of the wearer during walking or running. Such repetitive movements of the backpack cause discomfort and strain on the wearer's shoulders. Hence, a mechanism is proposed here that can be assembled with the normal backpack in a way that the backpack stays at a constant position with respect to the ground by moving it relative to the wearer. The proposed mechanism was designed, fabricated, and assembled with a normal backpack and checked for the impact force experienced by the wearer with different loads of 10 kg, 12.5 kg, and 15 kg. An Arduino-based setup with a load cell sensor was implemented into the mechanism to measure the impact forces exerted on the wearer’s shoulder. The impact forces experienced by the wearer were found to be considerably lower when using the enhanced backpack with the mechanism compared to a normal backpack without the mechanism for a load equal to or more than 15 kg.

Infus liquid monitoring system using web-based loadcell sensor

Improvements in the efficiency and precision of using the Internet of Things (IoT) to monitor infusion fluid volumes have been particularly beneficial to the health sector. It is now feasible to create intelligent solutions that replace labor-intensive and error-prone manual techniques with the aid of affordable devices like the ESP8266 and accurate sensors. Through the use of an internet connection, the server may easily receive data on the volume of infusion fluids collected by the ESP8266-based system and precision sensors. This enables remote access to real-time monitoring using a web platform. The main advantage of this technology is that it allows medical personnel to adequately monitor patients even when they are nearm not them. This reduces patient distraction and gives patients more time to focus on important medical tasks. By using this technology, healthcare personnel can improve the quality of treatment they give by reducing the chance of human error when calculating and changing IV bags. When medical staff has access to dependable and real-time data updates, they can manage IV fluid management more skillfully and respond to changes in patient situations more quickly. All things considered, these advancements represent significant strides forward in the administration of intravenous fluids, offering more accurate, effective, and conveniently accessible solutions that elevate the bar for healthcare overall

Rancang Bangun Alat Pengemas Biji Kopi Otomatis Berbasis Arduino Uno

Before coffee products are marketed, packaging is generally carried out first. Apart from protecting against damage, the packaging also aims to make it easier to carry while traveling. The conventional packaging process is quite time and energy consuming. This results in the packaging process being less efficient. With an automatic packaging system, it is hoped that it will make things easier and save time and energy. Automatic coffee bean packaging tools are built using several electronic devices. Arduino Uno is used as a controller, a load cell sensor to weigh the coffee packaging, a DS18B20 temperature sensor to measure the temperature of the packaging sealer and a proximity sensor to detect plastic packaging. In the actuator section, a servo motor is used to open the coffee bean reservoir valve (hopper tank), a DC motor is used to pull the packaging plastic and a stepper motor is used to press the packaging plastic. The plastic press is equipped with a heating mechanism using nickel wire so that the two layers of plastic can stick together. An LCD module is used to display information on the weight value of the coffee packaging, the temperature value of the sealer and the status of the packaging process. From the test results, it is known that the coffee bean packaging tool is capable of packaging coffee beans automatically. Coffee beans can be packaged in plastic with the weight and length of the packaging according to the design with a success rate of up to 87.5%

Capacity Limit Measuring Tool on Children's School Bags Using Esp32 Microcontroller and GPS Tracker

Backpacks are the main choice for students as a means of carrying school supplies and materials, but often they do not pay attention to the weight of the load they carry every day, potentially causing injuries and pain in the back. This study aims to design and implement a capacity limit measuring device on children's school bags using the ESP32 microcontroller as the control center. The tool is equipped with a 10kg load cell sensor to accurately measure the weight of the bag, as well as a keypad as a user interface to easily enter the child's weight. Safety is also considered with the addition of a buzzer as an alarm if the weight of the bag's capacity exceeds the set limit. GPS trackers are also integrated to monitor the geographical location of bags, allowing parents to monitor the movement of children and the location of bags directly through Telegram bots. With ESP32 as the brain, this tool provides a comprehensive solution to maintain the health and safety of children in carrying their school load. This tool also utilizes Telegram technology to provide direct notifications about the weight and location of children's bags to parents or other users. Telegram bots connected to this tool automatically transmit this information, providing additional convenience and security for users.

Development of an Improved Solid Waste Management System in Nigeria Using Smart IOT Devices

Rapid rise in inhabitants across the globe has led to the inadmissible management of waste in various countries, giving rise to various health issues and environmental pollution. Waste management is a daily task in urban areas, which requires a large amount of labour resources and affects natural, budgetary, efficiency, and social aspects. Many approaches have been proposed and implemented in developed countries to optimize waste management, such as smart waste in and route optimization. However, these technologies are still new in developing countries and have been implemented fully. The waste-collecting trucks collect waste just once or twice in seven days. The poor and improper disposal of waste produces toxic gases, and radiation in the environment, which has adverse effects on human health. The agency managing waste in Nigeria lack proper coordination to ensure better result. These challenges motivated this research. The research develop an improved solid waste management system using IoT sensors. The robust web-based system, coordinate and manage all the trucks, drivers and revenue generated from waste disposal to ensure better result when compared with existing method. The methodology adopted for this system is Object Oriented System analysis and designed (OOAD) methodology for the web based system, and Embedded C++ is used for the algorithm that controls the sensor reading. However, the MQ5, MQ7, MQ135 and Load cell sensors were used for dumpsite monitoring. While Ardunino Controller and Sim808 Gate way are used for System connection and transmission. The result from the simulated work, shows that air quality and waste bin level can monitored concurrently, which boost the efficiency of the new system. Moreover, the incorporation of load cell sensor at the dumpsite also help the regulatory body to computing the efficiency of the evacuation process of truck drivers. The readings of gas sensors on air quality from simulated environment were compared with six membership performance index (MID) of WHO air quality standard. The result shows that the simulated dumpsites were able to capture five out of the six MID. This represents 83.33% compliance to the WHO standard. The Improved solid waste management system developed in this work will help for proper coordination of waste collection and disposal, to ensure a clean and healthy environment that provides transparency in the business of waste management upon its implementation Keywords: Development, Solid Waste, Management, Smart and IOT Devices

Rancang Bangun Pengemasan Produk Kacang Goreng Otomatis Berbasis Mikrokontroler

The working system of this Automatic Fried Bean Product Packaging tool uses Arduino Mega2560 as a microcontroller, then a screw on the funnel to accelerate the descent of the product into the packaging plastic and prevent blockages, infrared sensors to detect product availability in storage containers. The tool made uses volume measurements to minimize error on the scales using a load cell sensors. The type of research used in making the final assignment is action research which is carried out carefully, logically and systematically. The conclusions of this research are (1) The system can detect the supply of fried peanuts in the funnel/silo using infrared FC-51 sensor with a distance range of 1 – 8 cm. (2) The system can read the mass input selected by user, namely 75 g, 100 g, and 150 g with a push button and displayed through the LCD. (3) The system can fill the fried peanuts into packages according to the mass that has been set through the KY-008 laser sensor and laser receiver, using the tube volume formula with a percentage error of 4.5% for a mass of 75 grams, 3.83% for a mass of 100 grams, and 5.41% for a mass of 150 grams. (4) The system can perform the package closing process using servo motors, heating elements, and stepper motors. The duration of time required by the heating element in gluing the plastic ranges from 3 to 4 seconds.

Developing a Nutritional Assessment Tool for Toddlers Using Anthropometry and IoT Technology

Data from the Indonesian Toddler Nutrition Status Survey (SSGBI) in 2021, the prevalence of stunting in Indonesia is still quite high, at 24.4%, which is equivalent to 5.33 million toddlers. This figure is still above the standard tolerated by WHO, which is below 20%. Therefore, efforts are needed to accelerate stunting reduction so that the prevalence of stunting in toddlers decreases to 19.4% by 2024. This research aims to develop a tool for measuring toddlers' height and weight to assess their nutritional status promptly, aiming to preemptively address any nutritional abnormalities and prevent exacerbation. Anthropometry serves as the primary method for assessing toddlers' nutritional status in this study. The tool's design incorporates the ESP32 as the main control unit, the HC-SR04 sensor for height measurements, and the HX711 module and loadcell sensor as weight sensors. Data from the sensor are transmitted from the ESP32 master to the ESP32 slave for processing, culminating in a nutritional status assessment. Notably, the tool boasts a minimal error rate of 0.18% for weight measurement with 99.82% accuracy and a 2.66% error rate for height measurement with 97.34% accuracy. Furthermore, the tool's integration with IoT technology offers additional advantages. It facilitates real-time data transmission and analysis, enabling healthcare professionals to promptly identify any nutritional issues in toddlers. This, in turn, allows for timely intervention and appropriate management strategies to prevent the development or exacerbation of stunting. Overall, the benefits of this research for the Anthropometry Stunting Monitor based on IoT are manifold. It enhances accuracy and efficiency in measuring toddlers' height and weight, enables early detection of stunting, and facilitates timely intervention to address nutritional abnormalities. This holds significant promise for improving pediatric healthcare outcomes and reducing the prevalence of stunting among children.

Performance Comparison of a 3-D Printed Fiber Bragg Grating (FBG) Load Cell Sensor Based on the Influence of Different Infill Density and Pattern

Performance Comparison of a 3-D Printed Fiber Bragg Grating (FBG) Load Cell Sensor Based on the Influence of Different Infill Density and Pattern

Baby Weight and Length Measurement System with Data Storage Using MySQL Database

Baby weight and length measurement system has been designed based on ultrasonic and load cell sensors with data storage using MySQL database and website interface. This research aims to produce a baby weight and length measurement system with microcontroller NodeMCU ESP32. The system is designed with an ultrasonic sensor HC-SR04 and four half-bridge load cells of 50 kg. The ultrasonic sensor works on the piezoelectric and inverse piezoelectric principles, while load cell sensors work on strain gauge principles. An ultrasonic sensor measures body length, while a load cell sensor measures body weight. According to the Ministry of Health of the Republic of Indonesia’s regulations, this system also has an LCD 20×4 to display measurement and nutritional status assessment results. The experiment used four doll objects with different lengths and weights. This research shows that the ultrasonic sensor HC-SR04 used in this research has an average error of 0.494% in length measurement. The load cell sensor and HX711 ADC used in this research has an average error of 0.949% in weight measurement. The designed system automatically assesses the nutritional status and stores the measurement result and nutritional status in the database to be displayed on the website.

Performance Analysis of 2 U-Type Savonius Blades for Vertical Rotor Wind Turbine

Renewable, unlimited and environmentally safe, wind energy is referred to as renewable energy. In Indonesia, wind speeds between 3 to 7 m/s are considered moderate wind speeds. Wind turbines can be used to convert wind energy into electrical energy. The Savonius rotor is cylindrical and has two or more blades attached. The purpose of this study is to determine the power, torque, and rotation per minute produced by a Savonius rotor wind turbine with a blade radius of 50 cm and a blade height of 100 cm. Wind speeds of 3 m/s, 5 m/s, 7 m/s, 9 m/s, 11 m/s, 13 m/s, and 15 m/s were used for testing. A tachometer was used to measure rpm, while a loadcell sensor measured torque and power data. Based on the research findings, it was found that each wind speed variation produced a different average rotor rotation per minute. The rotor speed, torque, and power increased with increasing wind speed.