Sensor DS18B20 Research Articles

Analysis of Temperature Sensors with Proportional and Derivative Controls Applied to Infant Incubators

Premature babies born before 37 weeks of gestation or babies born with a weight criterion of less than 2500 grams are very susceptible to viruses if they are kept in an open space. Therefore, they need to be they need to be taken care for in a baby incubator that will protect premature babies. An incubator is critical in the survival of premature newborns. Temperature management is one of the most important roles of a baby incubator, as it is essential to create thermo-neutrality in an infant's body. The purpose of this study was to analyze the temperature sensor in an infant incubator using proportional and derivative controls. To obtain a stable and precise temperature, this temperature sensor complies with hospital infant incubator standards. This study used the LM35 and DS18B20 temperature sensors and used the Atmega 2560 Microcontroller where the temperature will also be displayed on a computer using serial communication. Temperature data were obtained based on the measurement results at all set points on the LM35 sensor. In this case, the rise time is 6 minutes 20 seconds, the average overshoot is 2.2°C, and the time to reach steady-state status is 25 minutes. Meanwhile, on the DS18B20 sensor, the average rise time is 6 minutes, the overshoot is 1.2°C on average and the time to reach a steady-state is 23 minutes. It can be considered that the DS18B20 sensor is superior to the LM35 sensor because it has a faster average rise time and steady-state and the overshoot on the DS18B20 sensor is still within tolerance limits.

Design and control system of temperature and water level in hydroponic plants

Agricultural cultivation technology with a hydroponic system is expected to be an alternative for people who have limited land or yards. However, manual control cannot be done at any time due to business and other work, so a controller is needed to monitor and control the temperature and water level in hydroponic plants to avoid the death of plant. The purpose of this research is to create a temperature and water level control system for hydroponic plants. The control process uses a NodeMCU esp8266 microcontroller. The process of data communication carried out by hardware and software using wireless media. The water temperature detection system uses a DS18B20 sensor, while the water level sensor uses an ultrasonic HC-SR04. The results of this study the system as a whole can perform the process of monitoring and controlling the temperature and water level in hydroponic plants automatically and displayed on the LCD and android. When the water level is less than the minimum limit of 5 cm, the filling pump will be active and it will take about 6.48 minutes to fill the reservoir from an empty state. In the temperature control system, an average error of 3.71%. In this research is obtained if water temperature is more than 29°C, the cold water pump will be active and it will take about 2 minutes to circulate the water back to 28°C.

Smart IoT CPO Storage Tank

Indonesia’s crude palm oil (CPO) production from year to year continues to increase, at the end of 2020 it reached 17.35 million tons, up 3.6% from the previous year. Increasing production will result in more CPO stock and require good storage. The storage process that occurs is to maintain the temperature of the CPO so that the quality is not damaged. This temperature regulation is still done manually and raises the risk of work accidents. The purpose of this research is to create a temperature control system and automatic volume measurement that can be monitored from a smartphone. The manufacture of a control system used ESP8266 NodeMCu microcontroller, temperature sensor, proximity sensor, and 1000-Watt heater. Programming used the Arduino IDE and C++. The result of this study was an IoT CPO Storage Tank design equipped with sensors and microcontrollers. The temperature was measured with the DS18B20 sensor had a data accuracy of 99.19% while the volume measured with the HC-SR04 sensor had an accuracy of 99.78%. Data obtained from the sensor could be seen through the Thingspeak application from a computer or smartphone.

Design and Prototyping of Temperature Monitoring System for Hydraulic Cylinder in Heavy Equipment using ESP32 with data logging and WiFi Connectivity

Measurement and data-logging of temperature are important in industrial application. This paper discusses the implementation of monitoring temperature of cylinder hydraulic of a heavy equipment such as excavator in the field. For monitoring the temperatures, DS18b20 sensors are used to sense the hydraulic arms in the excavator. Due to sensing moving parts such as hydraulic arms, a WiFi technology is used to transmit temperature’s data to a browser. The ESP-NOW technology from Espressif ESP32 is chosen to minimize the electrical energy drained from the Lipo’s battery. Data-logging is done in a browser environment, by using javascript, websockets, css, and html technologies. The result shows that the usage of ESP32 in monitoring the temperatures, can be used in the real-time mode for the monitoring of excavator operations. And the 20000mAh battery-based system can last for approximately a month by using ESP-NOW technology from the Espressif.

INTERNET OF MEDICAL THINGS (IoMT)-BASED HEART RATE AND BODY TEMPERATURE MONITORING SYSTEM

Research has been carried out on a heart rate and body temperature monitoring system based on the Internet of Medical Things (IoMT). This study aims to create a system for monitoring heart rate and body temperature remotely in real-time with measurement results displayed on a web server. This research includes several methods such as developing research concepts based on literature studies, system design consisting of hardware and software design, sensor calibration, web server creation, system testing, and direct data retrieval. The hardware manufacturing stage uses several components such as a pulse heart sensor to detect heart rate, DS18B20 sensor to detect body temperature, Arduino Uno microcontroller, Xbee end device, Xbee coordinator, and raspberry pi as a server computer. Then for the use of software on this system, it consists of Arduino Integrated Development Environment (IDE) to run Arduino Uno hardware, XCTU to provide configuration on Xbee, Python to run Raspberry Pi and Django as a framework for building web servers and MySQL as data storage center measurement results. Heart rate monitoring is done by placing a sensor on one of the fingers, and body temperature is done by placing the sensor in the axilla. The output from the sensor in the form of analog data is converted by the Arduino Uno microcontroller into digital data and then sent to the Raspberry Pi module via Xbee. The raspberry pi has processed data is then stored in the database and then displayed on the webserver. The sensor calibration results show that the pulse heart sensor's error rate is 0.41%, and the DS18B20 temperature sensor is 1.09%. After calibration of the sensor, data was collected on the three respondents' heart rate and body temperature. The measurement results show that the system can store each respondent's heart rate and body temperature data in the database and display the measurement results on the webserver in real-time. Based on these results indicate that the system that has been made can work well.

Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model

A greenhouse is an agricultural management system that has shown the efficiency of food production. This system is an effective alternative to ensure maximum production results. Agriculture with greenhouse technology can create the desired environmental/climatic conditions. The rapid development of technology and science has led to the birth of communication between devices using IoT and AI. This technology can be applied to greenhouses in agriculture and fisheries. Research on greenhouse and microcontroller-based automation systems has been carried out, and it is interesting to be developed. Researchers make a more efficient system and can increase the quality and quantity of production. The measurement data of both modes are monitored using the web. The greenhouse prototype is supported by DHT22, DS18B20, a fan to control the greenhouse cooler, RFID as the key access to the greenhouse. DHT22 & DS18B20 sensor readings in the prototype greenhouse use an AI system with the fuzzy method. IoT and AI have been successfully implemented in models of rice fields, hydroponic farming, and fisheries using automatic modes of RTC devices and sensors. The fuzzy approach method is used to find the optimum temperature and humidity values. The fuzzy approach was successfully carried out until the temperature and humidity conditions were "ideal," "high," and "very high." This condition provides information to the microcontroller to activate which fan should turn on. In manual mode, the smartphone application controls the system properly.
 
 Keywords: artificial intelegent, control and automation, fuzzy logic, greenhouse, IoT

Modeling of water temperature in evaporation pot with 7 Ds18b20 sensors based on Atmega328 microcontroller

Making a model of the air temperature in the pan to see the difference with 7 DS18B20 sensors based on the Atmega328 microcontroller aimed at the temperature between air temperature, air surface temperature, and airbase temperature. Indonesia has a very wide ocean area and the natural resources in its sea area are not maximized. The use of a pan is a prototype of the breadth and depth of the ocean. making this model can also predict the location of fish and the growth of coral reefs. This temperature modeling is carried out in the evaporation pan with 7 sensors with 2 sensors in the air, 2 sensors on the surface of the water, and 3 sensors at the bottom of the evaporation pan to look for changes in temperature on the sensor and compare it with a mercury thermometer and then see the level of stability of the data. from the obtained graph. The DS18B20 sensor, which has an accuracy of ±0.5?, will be more stable than the mercury thermometer owned by the Geofusuka Station Class II Sanglah Denpasar.

RANCANG BANGUN HIDROPONIK TANAMAN PAPRIKA DENGAN DRIP SYSTEM BERBASIS INTERNET OF THINGS

Technological advances have been utilized in various fields, including in agriculture.The technology that is currently widely used is the Internet of Things (IoT). With this technology,farmers can monitor and control remotely so that their work becomes more efficient and optimal.In this study, a control and monitor system was developed for paprika hydroponics. This systemwas built using a Rasberry Pi as a data processing center equipped with Arduino uno as ananalog data reader and relay control, a DS18B20 sensor as a water temperature reader, a pH4502C sensor as a water acidity reader, and a TDS/EC sensor as a water nutrient ppm valuereader. This system is realized in the form of a prototype system for hydroponic paprika. Thesystem works automatically to monitor and control water temperature, water pH, nutrient ppmvalue, water level and automatic watering. The system is also equipped with a notificationfeature so that farmers can obtain information via telegram media such as water temperature,water pH, nutrient ppm value, water level, and watering notifications. This prototype is alsoequipped with a webcam camera as a feature that functions to detect ripe peppers in terms offruit color. The camera will detect the color of the peppers, and if the peppers are red, thepeppers are categorized as ripe, and farmers will receive notifications via telegram in the formof image data and notifications that ripe peppers have been detected.

Digital calorimeter for measuring the specific heat of liquids

The purpose of developing this digital calorimeter is to make a temperature measuring device using Arduino Uno that can be used for physics practicum at the Physics Laboratory of the University of Mataram. This tool is designed according to the function of the calorimeter. Calorimeter is a tool used to determine the heat capacity, specific heat capacity, and latent heat capacity of an object or material. In making this digital calorimeter, the ds18b20 sensor is used to measure the temperature of the liquid, when the sensor is inserted into the calorimeter, it will be able to read the temperature rise that occurs in it. The graph is obtained from the relationship between time (t) and heat energy (Q), it can be seen that the longer the liquid is given electrical energy, the higher the heat generated.

Microprocessor temperature control device for a thermal object

The article deals with a device for temperature control of a thermal object. The device is based on a single-chip AVR ATmega32 microcontroller. There are two modes of temperature regulation. The first is designed for temperature regulation within the range of -55 ° C to +125 ° C, and the second is from +126 ° C to +1000 ° C. The first range uses a DS18B20 digital serial output temperature sensor. The temperature measurement resolution in the first temperature range of -55 °C to +125 °C is 0.0625 °C. The second range uses a K-type thermocouple and a MAX6675 thermocouple signal converter with I2C interface. The discreteness of temperature measurement in the range from +126 C to +1000 C is 2 C. The microprocessor based controller has a very wide temperature control range from -55 to +1000°C, which is well within the temperature range required by the process. In the first area, due to high accuracy digital temperature sensor DS18B20, the resolution is very good ±0.0625 °C, which enables the use of the controller in climate control systems.

SISTEM MONITORING KENAIKAN SUHU PADA TRANSFORMER BERBASIS IoT

Transformers play an important role in generating electrical energy so that in maintaining their performance this transformer has a lot of protection so that the transformer can work as much as possible. Many things can interfere with transformers, namely when the transformer is overheated, a short circuit occurs, or is struck by lightning causing the transformer to burn, so a system that can provide fast, and extensive information is needed and is handled automatically by monitoring the temperature of the main transformer using a smartphone connected to the internet network. In this study, 2 DS18B20 sensors were used which were equipped with a Manual Call Point (MCP) as input and an ESP32 microcontroller module in which there was a Wi-Fi module as a data processor, then the output data would be sent via the internet to the Internet Of Things (IoT) platform for display. In the form of values, graphs, and notifications. The measurement results are in the form of temperature units in C which will be displayed via a smartphone using the Blynk IoT platform in the form of numbers and graphs in real-time according to the value detected by the sensor. Tests on sensors resulted in an average error of 3.29% on the Low side and 3.01% on the Upside.

RANCANG BANGUN ALAT WATERBATH DI LENGKAPI SENSOR SUHU MENGGUNAKAN MIKROKONTROLER ATMEGA328

The purpose of designing this tool is to develop a water bath device beforehand so that it can be controlled from the display when it is set using an ATMEGA 328 microcontroller equipped with a temperature sensor and to carry out testing and measuring tools, with temperature selection from 30 C to 90 C, at Previous research was only able to adjust the temperature from 37 C to 60 C and this tool is also more flexible, the temperature sensor in this water bath tool uses the DS18B20 sensor which functions to find out the temperature in this tool. The desired temperature and timer will then be visible on the LCD display then the buzer will sound to indicate the process is complete.The method used in this research is experimentation with system design, tool testing and conclusion drawing. but before doing the design, the timer test is measured 6 times using a stopwatch at a temperature of 50 C and gets an average time of 305 results. 605, and 905 seconds and temperature testing was measured 6 times using a comparison of the thermometer temperature at 5 minutes and the average temperature results were 35.11 C, 45.11 C, 55.11 C, and 65.11 C , Based on data collection that has been done using a stopwatch and thermometer comparison, this water bath device can produce the desired temperature. The ability of this tool can withstand a maximum temperature of 90 C.

Prototype Automation of Air Conditioning Treatment in the Grinding Area Aneka Cocoa Based on IoT

A good work environment will affect the level of productivity of workers in a company. The operation of the refrigeration machine in the cocoa powder grinding area is very important in production. The indicators for the operation of the cooling machine are dust density, ambient temperature and wind speed. With control on the indicator will increase efficiency. In this study, the indicator is controlled with a GP2Y1010AUF0F dust sensor, a DHT22 temperature sensor, a DS18B20 sensor, and a wind speed sensor as sensor inputs. Furthermore, the sensor will be processed by the Node M CU ESP826 module. System output will be displayed on LED and android. The results of this study indicate the accuracy of the dust sensor is 96.12%, the DHT22 temperature sensor is 99.80%, the DS18B20 temperature sensor is 99.57% and the speed sensor is 95.89%. In this prototype, we can monitor the temperature of the air velocity of dust particles in the engine and the temperature of the engine cooler together and closely monitored.

Pengukura Suhu dengan Ir MLX90614 dan NoDeMCU dan Membandingkan dengan Ds18B20 untuk pencegahan Covid 19

This research was carried out by comparing the DS18B20 sensor and the MLX 90614 sensor to detect the accuracy of detecting human body temperature which is used to detect Covid 19 symptoms. In this experiment, 10 trials were carried out with different human segments detected using the sensor. In the experiment, it was found that the MLX90614 sensor is more suitable to be used for development with an IoT-based system because it does not need to come into contact with the skin of the human body. The MLX90614 sensor will detect the temperature and change it to one Celsius unit then send it to the firebase database which will then be picked up by the android application which is held by the security officer so that the temperature can be known remotely. When the temperature is more than 38.5 Celsius it will turn on the buzzer sound which can be heard from a distance which indicates the temperature is above 38.5 Celsius and on android will also display a danger sign

Water and Air Quality Monitoring System based on the Internet of Things

Environmental pollution is a global issue that occurs at this time. It is caused by various human activities that produce pollutants that endanger their lives. By utilizing current technology, it is possible to design a Water and Air Quality Monitoring System based on the Internet of Things to monitor air and water quality quickly and in real-time in the surrounding environment. The users can access this system via the web and Android / IOS mobile applications that display the data obtained by the sensor in the form of real-time graphics of water and air conditions. In addition, this system consists of several sensor nodes in charge of providing field data regarding the parameters used as the basis for assessing water and air quality according to the applicable standards in Indonesia. Sensors for water using a Turbidity Sensor, DS18B20 Sensor, PH Sensor, DHT 11, and TDS (Total Dissolved Solids) Sensor. Sensors for air consist of the DHT11 sensor, the MQ-7sensor, the MQ-135 sensor, and the dust sensor GP2Y1010AU0F.

RANCANG BANGUN KONTROL KADAR AMONIA DAN PH AIR BERBASIS ARDUINO PADA BUDIDAYA IKAN

In the fish pond ecosystem there are various factors that can inhibit fish growth or even kill fish, one of which is the water factor, the water itself has various factors, one of which is the quality of PH levels and amonia levels. Therefore, this paper discusses the design and manufacture of a control device for PH levels and amonia levels to make it easier for farmers to check PH levels and amonia levels in the pond. This control device uses a DFROBOT V.2 sensor as a PH sensor and a DS18B20 sensor as a temperature sensor as well as an Arduino UNO controller. The method used to control amonia is by comparing the data from PH and the temperature in the pool water, this tool will work if the amonia level is higher. from 0.8ppm by activating the aerator to keep the amonia in the pool water normal. Meanwhile, to maintain the PH of the water more than 6 and less than 7, it is necessary to add pond water by activating the water pump. The results of this study can be used as a reference for future research for the development of Arduino Uno-based PH and amonia level control devices.

Monitoring on Portable Baby Incubator Based on Microcontroller and Notification Using Short Message Service (SMS)

Portable incubator was one solution to help the premature baby. In general, the baby in the incubator is monitored by the observer manually. This research aimed to apply a microcontroller, temperature sensor, weight sensor, heart rate sensor, and GSM module to monitor and notify the premature babies' condition in portable incubators. The observation can be done by reading the display on LCD and SMS. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD, and SIM800L Module. The results showed that the Pulse sensor and DS18B20 sensor could measure and detect the baby's heart rate body temperature and are displayed on the LCD with an average error of 4.354% and 1.437%. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the patient's conditions were weak and critical. Hopefully, these monitoring and notification tools can inform the baby's state in the incubator immediately.

Microcontroller Based Portable Incubator Monitoring Tool with Short Message Service (SMS) notifications

The aim of this research was applied a microcontroller, temperature sensor, weight sensor, heart rate sensor and GSM module to monitoring and notification of the condition of premature babies in portable incubators. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD and SIM800L Module. The results showed the Pulse sensor and DS18B20 sensor could measure and detect the baby’s heart rate and baby temperature. The result was on the LCD with an average error of 4.354% for heartrate and 1.437% for temperature. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the baby weak and critical condition.

Design of thermometer based on STM32 and Bluetooth

This system uses temperature sensor DS18B20, Bluetooth module HC-05, microcontroller STM32f103ZET6, LCD display with 8080 port, RTC clock and alarm circuit to achieve portable temperature measurement rapidly. It can accurately measure the temperature and the deviation is kept within 0.5 degrees. The collected temperature data and the current time are displayed on the display screen. Send the collected temperature data at regular time and receive by APP mobile phone. When users want to get temperature data remotely on their phones, press the send button on the touch screen, press the up button and send the “wendu#” command to the cell phone APP to get the temperature data collected. When the temperature is over 37∘C, the four LED lights will always be on and LCD will show “Temperature is too high, please pay attention!” This design can not only realize the function of temperature measurement simply, but also optimize the display interface, modify the system time on the display interface to achieve the humanized function, which is convenient for daily portable use.

Internet-based temperature monitoring system for hydroponic

This study presents a monitoring system to provide real-time measurement data of hydroponic that is accessible from anywhere through internet. Temperatures of nutrient solution and ambient air are of concern in the monitoring system. The system is developed through the following steps: design, implementation, and experimental test. The system is built by applying a NodeMCU ESP-12 as the microcontroller and two temperature sensors DS18B20 The NodeMCU ESP-12 is to collect measurement data of both temperature sensors and send the data to a cloud server through a WiFi internet communication. The Google Sheets is applied as the cloud server to store the measurement data and provide the data to users. Using the Google Sheets, the data is presented in a table as in the Microsoft Excel which is very convenience for processing and analyzing the data. Experimental test results show that the system is able to provide real-time and reliable data of the hydroponics temperatures that can be accessed from anywhere through the internet. The monitoring system has a delay about 3 to 6 seconds in presenting the measurement data. This delay is quite small compare to the temperature change period and therefore is negligible. Moreover, the monitoring system is built at cost USD 6.0 which is quite cheap.