Temperature Sensor DS18B20 Research Articles

Rancang Bangun Sistem Kontrol Irigasi Otomatis Berbasis IoT untuk Tanaman Stevia

This research focuses on developing an IoT-based automatic irrigation control system for stevia plants to optimize plant growth and water usage efficiency. The system integrates ESP32 microcontroller with soil moisture sensors, DS18B20 temperature sensors, and DHT11 environmental sensors for comprehensive monitoring. Using Research and Development (R&D) methodology with an experimental approach, the system was designed and implemented to automatically control irrigation based on soil moisture levels. The results demonstrate that the system successfully maintains optimal soil moisture by activating the pump when moisture levels fall below 38% and deactivating it above 40%. Real-time monitoring through the Blynk platform enables remote observation and control of environmental parameters. The integration of multiple sensors with IoT technology provides an efficient solution for stevia plant irrigation management, offering potential applications in smart agriculture.

Corrugated veneer panel thermophysical properties

The article substantiates the need to develop new mechanisms for the hardwood use in modern conditions of Republic of Karelia timber industry. One of the potential uses of birch wood in wooden house construction is building materials production from veneer and slab materials based on it. A large amount of associated waste from processing birch wood into veneer stands out as one of the key problems. A new slab joinery and construction material made of corrugated birch veneer is considered. The purpose of this study is to evaluate the thermophysical properties of a corrugated board made of birch wood. To achieve this goal, the tasks and methods of research are defined. An experimental device has been developed to conduct an experiment to determine the values of thermophysical characteristics. DS18B20 temperature sensors were used to measure the surface temperature, as well as to monitor device operation and the room air temperature. The sensors are connected to the Arduino microcontroller platform, which was used to record and transmit sensor readings. Additionally, the course of the experiment was monitored using a thermal imager Testo 875-1i. During the experiment, more than 1000 measurements were carried out. As a result of data processing, a diagram of the dependence of the density of the heat flux passing through the sample on time, as well as diagrams of the dependence of thermal conductivity and thermal resistance on the temperature difference on the sample surfaces, was obtained. The diagrams show the regression dependences of changes in heat flux density, thermal conductivity and thermal resistance during measurements. The values of the heat flux density, thermal conductivity coefficient and thermal resistance calculated on the basis of regression equations and the values obtained experimentally are determined. The directions of further research of the material under consideration are determined.

Smart Sensor Placement For Thermal Monitoring Of Concrete

Structural health monitoring (SHM) has become an inevitable part in a life span of a structure due to its potential to ensure the public safety and to increase the life span of the structure. Monitoring any kind of structures for various parameters, using wireless smart sensors has gained popularity in recent past. This paper discusses the development of low cost real time wireless smart sensor monitoring system to monitor early age concrete temperature in real time. Temperature of two early age concrete mixes (Mix1, Mix2) were measured in real time for 24 hours by using DS18B20 sensors connected with the Node Mc u, which is an open source IOT platform. Temperature measurements were saved and visualized in real time using Thing Speak TM which is an open IoT online platform with MATLAB analytics. The temperature sensor DS18B20 was selected such that it is suitable to measure temperature readings of the concrete without any interference of the chemical reactions in concrete. Calibration methods and temperature variation with different concrete mixes are also discussed. It could be seen that the wireless temperature monitoring system performed adequately and it can be considered as a better low cost alternative for traditional wired temperature monitoring system.

DEVELOPMENT OF WATER QUALITY MONITORING SYSTEM IN SHRIMP PONDS BASED ON INTERNET OF THINGS (IOT)

This type of research is research and development (R&D) which uses the waterfall development model. The aim of this research is to produce a water quality monitoring system in shrimp ponds based on the Internet of Things (IoT) and to find out the results of testing the development of the system using the ISO 25010 standard. This development involves the application of ESP32, Relay, Toa Siren, DS18b20 Temperature Sensor, pH Sensor Module 4502C, Water Salinity and Turbidity Sensor which allows users to get real-time pond water quality monitoring information via the Telegram application. The test results for the reliability aspect have met the fault tolerance sub-characteristic standards because the percentage of measurement error obtained for the temperature sensor was 0.10%, pH 0.54%, salinity 1.19%, and turbidity 1.00%, still within the permitted tolerance limits. Functionality suitability testing shows that this tool obtains a percentage of 100%, indicating that the system is suitable for use. This tool also meets the portability aspect because it can be used on various devices with different operating systems. Apart from that, the usability evaluation results from user responses are in the very good category with an average of >4.2.

Implementation of Solar Panels as an Alternative to Electric Power Used in WiFi-based Freezer Box Temperature Monitoring System (Case Study of NN Frozen Food Wajak)

A freezer box temperature monitoring system using solar panels as alternative power is an important technology to ensure the quality of stored products. This research develops a WiFi-based temperature monitoring system that uses a DS18B20 temperature sensor, a PZEM-004T digital sensor, and an ESP8266 module to read and send real-time data to a website platform. Data is collected through a temperature sensor connected to the ESP8266 microcontroller, then displayed on the LCD screen and uploaded to the server for further monitoring via WiFi connection. The results show that this system successfully maintains the freezer box temperature at optimal conditions with an average temperature value of -24.82°C and a temperature range ranging from -28.81°C to -19.63°C. The voltage values are in the range of 197.10 V - 218.70 V, current between 0.02 A - 1.03 A, and power between 158 W - 186.80 W.

Remote Water Quality Monitoring System In Shrimp Ponds With Photovoltaic (PV)-Based Energy Source

Introduction: Shrimp has great potential to be used as a business field in Indonesia. Especially in Parigi Regency itself, there are now many shrimp ponds that can be found because of the benefits obtained, so people are interested in making shrimp farming a livelihood. One of the main problems of shrimp ponds is pond water quality. There are several factors that affect pond water quality, namely water temperature, water pH, and water salinity, good pond water quality management can maintain quality standards and can increase shrimp yield and productivity Method: To facilitate the shrimp farmers, innovations need to be made in order to help the shrimp farmers manage their shrimp ponds, therefore using a remote water quality monitoring was system in shrimp ponds with photovoltaic (PV) based energy sources is expected to be an innovation in managing shrimp ponds, especially in monitoring water quality in shrimp ponds. The monitoring system designed using the NRF24L01 module as a remote communication module, at the research location the distance from the shrimp pond to the house is approximately 100 meters, so the tools that have been designed can facilitate shrimp farmers to monitor the shrimp pond Results and Disscussion: The results of testing the DS18B20 temperature sensor compared with a digital thermometer measuring instrument get an average error of 0.014%. The test results of the pH sensor compared to the pH meter get an average error of 0.026%. TDS sensor test results compared with the TDS meter get an average error of 0.04%. Conclusion: The temperature, pH, and salinity monitoring system uses transmitter and receiver modules, where the transmitter module reads and sends data to the receiver module wirelessly with NRF24L01. Using DS18B20 temperature, pH, and TDS sensors, as well as energy from photovoltaics, this system helps shrimp farmers monitor pond water quality remotely.

RANCANG BANGUN MODUL TRAINER KIT MATA KULIAH SISTEM KENDALI+LAB BERBASIS INTERNET OF THINGS (IoT)

Along with the development of technology, control systems can now control various devices using smartphones connected to the internet remotely (Internet of Things). In order to have a good understanding of this field, universities have a very important role as an education institution. One of them is Udayana University through the Control System + Lab Course in the Independent Campus Learning Curriculum. This study aims to design an IoT-based Lab + Control System Trainer Kit Module using DevKit ESP32. The designed system includes an IoT-based DC motor control system using an L298N motor driver, an IoT-based water cooling control system using a DS18B20 temperature sensor, and an IoT-based water level control system using an HC-SR04 ultrasonic sensor. The system will be controlled through an application that has been created and installed on a smartphone connected to the internet so that it can be tested and analyzed to draw conclusions.

RANCANG BANGUN MODUL TRAINER KIT SISTEM KENDALI BERBASIS DIGITAL

A control system is defined as a combination of several components that aim to produce a system response in accordance with the desired process variables. Therefore, control systems are now widely used in various fields such as industry, automotive, public facilities, and household appliances. Especially in the industrial field, control systems play a role in improving production quality and reducing production costs. To create qualified human resources who have a good understanding in this field, universities have an important role in realizing this. One of them is Udayana University through the Electrical Engineering Study Program in the Independent Learning Curriculum in the Control System + Lab Course. This study aims to design a Digital-Based Control System + Lab Trainer Kit Module using Arduio Uno to support the process of implementing practicum in the laboratory. In the trainer kit module, there will be three systems designed, which are DC motor direction and speed control system using L298N motor driver, water heater control system using DS18B20 temperature sensor, and also water level control system using HC-SR04 ultrasonic sensor.

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%

IoT-Based Vaname Shrimp Pond Water Quality Monitoring Using the Quamonitor Tool

Pond water pollution is the main problem in vannamei shrimp cultivation, so to overcome this problem, The decline in water quality is caused by a decline in the quality of pH, salinity and temperature in pond water. Researchers created the Quamonitor tool to monitor IoT-based vaname shrimp pond water. The research was conducted using the Research and Development (R&D) method with the Analyze, Design, Develop, Implement and Evaluate (ADDIE) model, assisted by WiFi, MQTT and Node Red networks to monitor water in order to display monitoring results on Android. This study aims to monitor the condition of vaname shrimp pond water quality in the form of pH, temperature, and salinity parameters using pH E-4052C sensor, DS18B20 temperature sensor, TDS/Conductivity DFRobot V1.0 sensor and NodeMCU ESP32 as a data manager and system controller that runs in real time. The test results of PH sensors, temperature sensors and TDS/conductivity sensors obtained a sensor error percentage of 0.29% for pH parameters, 1.7% for temperature parameters and 0.41% for salinity parameters. Based on the sensor error value, Thingspeak graph display, real time monitor display on Android, it can be said that the manufacture of the Quamonitor tool for IoT-based vaname shrimp pond water quality monitoring is successful and can function well

Rice Husk-Based Insulators: Manufacturing Process and Thermal Potential Assessment.

The development of bio-insultation materials has attracted increasing attention in building energy-saving fields. In tropical and hot-humid climates, building envelope insulation is important for an energy efficient and comfortable indoor environment. In this study, several experiments were carried out on a bio-insulation material, which was prepared by using rice husk as a raw material. Square rice husk-based insultation panels were developed, considering the ASTM C-177 dimensions, to perform thermal conductivity coefficient tests. The thermal conductivity coefficient obtained was 0.073 W/(m K), which is in the range of conventional thermal insulators. In a second phase of this study, two experimental enclosures (chambers) were constructed, one with rice husk-based insulation panels and the second one without this insulation. The measures of the temperatures and thermal flows through the chambers were obtained with an electronic module based on the ARDUINO platform. This module consisted of three DS18B20 temperature sensors and four Peltier plates. Daily temperature and heat flux data were collected for the two chambers during the dry season in Panama, specifically between April and May. In the experimental chamber that did not have rice husk panel insulation on the roof, a flow of up to 28.18 W/m2 was observed, while in the chamber that did have rice husk panels, the presence of a flow toward the interior was rarely observed. The rice husk-based insulation panels showed comparable performance with conventional insulators, as a sustainable solution that takes advantage of a local resource to improve thermal comfort and the reduction of the environmental impact.

Review on Pregnancy Progress Monitoring

This project outlines the creation of an innovative pregnancy progress monitoring system leveraging cutting-edge sensor technology and artificial intelligence (AI) models. This project presents an integrated system designed to revolutionize the monitoring of pregnancy progression through a sophisticated fusion of sensor technology and artificial intelligence (AI). The collaborative functionality of DS18B20 temperature sensors, heart beat sensor, and GSM modules establishes a seamless data collection and transmission framework. These sensors continuously capture vital parameters including body temperature, heart rate, and blood oxygen saturation, while the GSM module ensures secure and real-time transmission of this data to designated servers or caregivers’ devices. Leveraging AI-driven algorithms, the system interprets these multifaceted datasets, employing pattern recognition and anomaly detection to discern potential health irregularities. The intuitive user interface grants caregivers comprehensive access to visualized data, facilitating proactive monitoring and swift response through customizable alerts for critical health indicators. This innovative solution undergoes iterative development and validation, seeking to redefine prenatal care by enabling early identification of deviations and fostering informed decision-making among medical practitioners and expectant parents. By amalgamating sensor technology with AI capabilities, this system aspires to enhance the safety and well-being of both mother and fetus, marking a paradigm shift in prenatal health monitoring and intervention strategies.

Internet of Things (IoT) and Arduino IDE as a Smart Water Quality Control for Monitoring in Catfish Ponds

This research aims to develop a monitoring and control system for catfish pond water quality based on the Internet of Things (IoT). This system uses an ESP32 microcontroller Arduino Integrated Development Environment (IDE) connected to a SEN0131 pH sensor, DS18B20 temperature sensor, and HC-SR04 ultrasonic sensor to monitor water quality parameters such as pH, temperature, and water level. Data obtained from these sensors is stored in a real-time database that can be accessed remotely via the Blynk application. This system is also equipped with a water pump and solenoid valve that automatically controls water filling and discharge based on detected water quality parameters. The test results show that the system has an average accuracy of 99.45% and high precision with an average relative standard deviation of 0.01% in detecting water quality parameters. System operation was carried out for 27 days. The system can run continuously or non-stop. data is input in real-time to blynk, so it can be monitored and controlled from anywhere.

Real-time thermodynamic monitoring of split inverter ACs: amicrocontroller-driven investigation of performance

Recent technological advancements, particularly in air conditioning cooling systems, have led to rapid developments such as inverter technology. Inverter technology provides various advantages including energy savings compared to non-inverter air conditioners. Globally, the inverter modulates the compressor to continue operation despite reaching the set temperature. This study aimed to monitor the performance of split inverter air conditioners utilizing microcontroller technology. The microcontroller model employed was the ATmega2560, capable of logging each test parameter and displaying in real-time. Additionally, the ATmega2560 integrated sensors including the DS18B20 temperature sensor and PZEM 004-T multifunction electrical sensor. Monitoring occurred over one hour of operation on a 8525 Btu/h capacity split inverter AC. Experimental monitoring results showed the lowest Tsupply at T1 compared to other temperatures, reaching 8°C. At Treturn, both T1 and T2 exhibited identical decreasing trends to 25.5°C around 3000 s. The minimum power variation occurred at P5 relative to other variations. The average power consumption of the split inverter AC was approximately 750 W. The minimum energy consumption observed was at E5 during the study, while the maximum was at E1 with peak energy consumption of 0.96 kWh. Microcontroller-based experimental monitoring can provide real-time results and shows promise for monitoring split inverter AC performance.

Real-time Fishpond Water Temperature Monitoring with Internet of Things (IoT) Technology

The quality of pond water is an important factor in ensuring the health and sustainability of the organisms within it. Internet of Things (IoT) technology has enabled the development of sophisticated and effective monitoring systems to monitor water quality in real-time. One important parameter that needs to be monitored is the temperature of the pond water, as unstable temperatures can harm aquatic organisms. To obtain good quality and disease-free fish at normal times, the optimal temperature for catfish fry is around 28˚C - 30˚C. Manual monitoring or using thermometer measuring instruments is still very traditional and limited to the ability of supervisors to carry out continuous monitoring and may cause delays in detecting significant temperature changes. This research aims to analyze the monitoring system of pool water quality based on temperature by utilizing IoT technology. The proposed system uses a DS18B20 temperature sensor that is wirelessly connected to the IoT network. The temperature data collected in real time will be uploaded to Firebase for storage and further analysis. Through the development of this IoT-based pond water quality monitoring system, it is expected to increase efficiency and reliability in monitoring pond water quality. From the monitoring conducted for approximately 24 hours, the temperature in the fishpond is 28°-30°. After analyzing with direct monitoring, the good temperature is at night at 18.00-00.00 WIB. In conjunction with a standard thermometer, resulted in an average temperature sensor error rate of less than 5%, highlighting the reliability of the IoT technology in real-time environmental monitoring.

Functional System for Temperature and Relative Air Humidity Software Monitoring in Interlayer Clothing Space

Introduction. The study of the parameters of the clothing space is extremely important in the development of seasonal clothing for the military, police, athletes, etc.Problem Statement. The use of “smart” textiles capable of responding to changes in the environment, adapting to it by integrating functional capabilities into the textile structure, deserves attention. Person’s feeling and emotional response are accompanied by electrical, thermal, chemical or other changes in the human body, which can be recorded by electronic devices and used to monitor the comfort of clothing.Purpose. The purpose is to develop a functional system for monitoring the interlayer space of clothing given the temperature and relative humidity and for creating a prototype remote control system for clothing.Materials and Methods. Sensors (a microcontroller with a battery, radio modules, temperature and relative humidity sensors) placed in the knitted structure of the T-shirt, on certain parts of the human body have been used. Atmega328 microcontroller equipped with 18650 batteries has been employed to detect the temperature and the relative humidity in the interlayer space of the clothing with the help of DS18B20 temperature sensors and DHT22 humidity sensors. The HC-12 radio module has been used for transmitting the data from the microcontroller to the target device. The data have been processed by a special program with the use of the Serial, NumPy, Matplotlib, and Drawnow libraries.Results. The system for remotely monitoring changes in the internal microclimate within the airspace between layers of diff erent clothing materials has been developed. The relationship between the average temperature and the relative humidity in the interlayer clothing space has been determined and are equal to ~26 0C and 29.8%, respectively, after exposure to an outdoor temperature of –10 0C.Conclusions. The obtained results can be used to improve existing and to develop new items of clothing with increased comfort.

Scientific and Technical Basis for the Development of an Induction Heating Unit for Milk Pasteurization

Introduction. Induction heating is a preferred heating technique for industrial, medical and consumer systems, because it has a number of advantages over traditional heat transfer methods. The advantages include energy efficiency, heating rate, safety of operation, cleanliness of the process, low metal consumption, simple design, and precise control of the temperature of the heated raw materials. An induction heating unit is especially important for farms involved in processing of milk and producing milk-based products. Aim of the Study. The study is aimed at developing a prototype unit for long-term pasteurization of milk using a container heated by induction currents and at selecting optimal operating conditions for the developed prototype unit. Materials and Methods.There was used 3D modeling in the KOMPAS-3D computeraided design system to develop the main components of a milk pasteurization prototype unit with induction heating. The container for raw materials, stirrer and lid are made of stainless steel AISI 304 and AISI 430. The inductor is a frame made of polymer material with a litz wire arranged in a spiral manner. The body of the prototype unit is made of aluminum composite material. The developing and debugging of the electronic circuit of the prototype unit power part was carried out with the use of the design program Proteus 7.10. The microcontroller Mega 2560 was used to make the power part of the electromagnetic induction generation unit. The controlled temperature was monitored by using the waterproof temperature sensor DS18B20. A thermal imager was used to visualize the propagation of the thermal field over the surface of the container walls. Results. The structure diagram of the developed prototype unit with induction heating for long-term pasteurization of milk is presented. The article gives grounds to the use of the necessary elements and actuators in the unit for pasteurization of milk in a container heated by induction currents. There are presented a diagram of the developed power part for the prototype unit and the results of testing it when heating containers made of various materials. An algorithm has been developed to control the operation and PID regulation of the milk pasteurization in an experimental unit with the use the Raspberry Pi microcomputer. The graphs of transient processes when changing the coefficients of PID temperature control are presented. Discussion and Conclusion. When testing the induction heating principle on stainless steels of different compositions, it has been concluded that for the efficiency of heating the container, there is required a ferromagnetic steel pad welded on top of the main container made of food-grade stainless steel. The developed system of inductors made it possible to create a prototype unit with two heating zones depending on the volume of processed raw materials that is important for small farms engaged in processing milk and producing milk-based products.

LIQUID TEMPERATURE MEASUREMENT USING ARDUINO

Temperature measurement in liquid environments is crucial for a wide range of applications spanning industries like pharmaceuticals, food processing, and chemical engineering. This project aims to design and implement a reliable and cost-effective system for liquid temperature measurement utilizing Arduino microcontroller, a 16x2 LCD display with I2C interface, a DS18B20 temperature sensor, and a 12-0-12 transformer with a 5V rectifier circuit. The project starts with an exploration of the underlying principles behind temperature sensing and display technologies. The DS18B20 temperature sensor, known for its high accuracy and digital output, is chosen for its suitability in liquid environments. The 16x2 LCD display with I2C interface is selected for its simplicity and ease of integration with Arduino, offering a clear and readable output for temperature readings. In conclusion, this project presents a comprehensive solution for liquid temperature measurement, leveraging the capabilities of Arduino, DS18B20 sensor, and 16x2 LCD display. The system's versatility and affordability make it suitable for deployment in a wide range of industrial and research settings, facilitating efficient temperature monitoring and control in liquid environments.

Fuzzy Logic Method to Control Evenly Distributed and Stable Waterbath Temperature with Four Heaters

Water baths are commonly used in scientific fields to incubate samples at specific temperatures. The temperature of the water bath must be controlled precisely, because even the slightest temperature variation can affect the results of the experiment. It can handle imprecise, uncertain and incomplete information, making it suitable for temperature control in water baths. This research aims to determine the distribution and stability of fuzzy logic control to control the temperature of a water bath with four heaters. Even heat distribution from the four heaters will ensure consistent water bath temperature throughout the bath. This research uses an Arduino microcontroller to process the temperature sensor output from the DS18B20, then the processed temperature value will be displayed on the TFT LCD. The independent variable in this research is the temperature value, while the dependent variable is the DS18B20 temperature sensor. The largest error value from the module measurements is at a temperature setting of 30 ºC on the 2nd temperature sensor with an error value of 1.43%. Meanwhile, the smallest error value is found at a temperature setting of 35 ºC on the 1st and 4th temperature sensors with an error value of 0.01%. Data collection used a digital thermometer comparison tool with 10 repetitions as a temperature sensor reference tool. The results obtained using this sensor are more stable and have a high accuracy value. The results of the research show that the temperature difference between points 1 to 4 when viewed from the error percentage is very small, or it can be said that the temperature distribution is even. The conclusion from these results is that the module has a stable temperature value and the error value is low and is still within the tolerance limit. permitted is ±5%.

Patient Reminder System

Overview Patient Health Monitoring on ESP8266 Healthcare technology is very popular in this pandemic situation because of coronavirus. Actually, health care technology is rapidly being revolutionized with the help of the Internet of Things (IoT). Monitoring the health status of a covid patient is a hard task because of our busy schedule and our daily work. Mostly, the elderly covid patients should be monitored periodically. So, I thought to make an innovative system in this lockdown to automate the task. This device uses an ESP8266 webserver to track patient health using this monitoring system. Hence, patient health parameters such as body temperature, heart rate (BPM), blood oxygen levels (Sp02) as well as room temperature and humidity can be monitored from any device (like Smartphone, PC, Laptop, Smart TV,.) That support browsing capabilities. In this project, we will learn how to build an ESP8266 based Patient Health Monitoring System. To measure Heart Rate/Pulse (BPM) and Blood Oxygen Level (SpO2), we use the MAX30100 pulse oximeter sensor. Similarly, to measure body temperature, we use the DS18B20 temperature sensor. Meanwhile, the patient is inside the room. So we need to monitor room temperature and humidity level as well. We should keep them in a room with a certain temperature and humidity level to not feel uncomfortable. Hence, we use the DHT22 Temperature & Humidity sensor. A Smart Patient Health Monitoring System using IoT (Internet of Things) is a technology-driven solution designed to continuously collect, transmit, and analyze health-related data from patients. It provides real-time insights to healthcare professionals, patients, and caregivers to improve patient care, enhance early disease detection, and promote overall well-being. One important component of such a system is the alert system, which notifies relevant parties when certain health parameters or conditions require attention.