DHT11 Temperature Research Articles

KONTROL PEMAKAIAN PERALATAN ELEKTRONIK BERBASIS MIKROKONTROLER DAN ALGORITMA FUZZY MAMDANI

Excessive use of electricity had some negative impacts. In this research, the Arduino ESP32 integrated with the WiFi module, the PZEM-004T V3.0 electric current sensor to detect the electric current used, DHT22 temperature sensor to measure the temperature and humidity of the room air, BH1750 light sensor to measure the intensity of light entering the room and SPDT Relay connected between the microcontroller and the lamp. Mamdani Fuzzy Logic Algorithm which was a cryptic system as part of the intelligent system methodology applied to control automation in fans with fuzzy input variables was temperature and humidity as well as the automation of lamp usage applied fuzzy logic mamdani with fuzzy input variables were the intensity of incoming light and the time zone. Defuzzy's calculation results based on rules and have been tested on fan and lamp automation obtained 100% accuracy. Aside from being automatic, this system were also applied manual control through the Blynk application only to the function (ON / OFF) and monitored real time electricity usage in the IDR value remotely with the Internet of Things method based on Microcontroller and IOS or Android. This research could help homeowners in saving electricity.

RANCANG BANGUN SISTEM OTOMATIS DAN MONITORING JARAK JAUH ENGINEERING WORK STATION DI PLTU VIA WEB

The engineering work station room is a server room that has a function to be the control center for all components in the PLTU which will have to be equipped with several sensors, namely the DHT11 temperature sensor, ZMPT101 voltage sensor, ACS712 current sensor to help keep temperature, voltage, current stable . To obtain maximum results, several stages are needed in designing this tool, including literature study, technical data collection, planning process, manufacturing, testing, discussion and conclusions.To maintain the conditions in the engineering work station room, an automatic system and remote monitoring were designed which have a working principle, namely if the temperature in the EWS room is below 18C then the AC motor is off. If the EWS room temperature is at 18C - 23C, the AC motor has a medium start. If the EWS room temperature is above 23C, the AC motor has full power. Meanwhile, the results of reading conditions in the EWS room, namely the conditions of temperature, voltage, and current will be displayed via the Thingspeak web. The results of this study the tool is able to work according to predetermined working principles and data analysis is also in accordance with existing calculations

The Design of A Telegram IoT-based Chicken Coop Monitoring and Controlling System

Less ideal chicken coop condition is one reason for the low productivity of chickens in Indonesia. Based on this condition, breeders need monitoring and control devices that can be used easily anywhere and anytime. In this study, the monitoring and control devices based on the Internet of Things (IoT) were successfully designed using the ESP8266 microcontroller. The monitoring system used a DHT11 temperature sensor while the controller used a bulb and fan as the actuator. Monitoring data and control commands were displayed via Telegram. Coop testing was carried out with three different treatments-the light was on, the fan was on, and both were on-resulting in temperature and humidity measurement data ranging from 24–32 ºC and 61–78%, respectively. Therefore, this monitoring and control device can prevent the conditions of the chicken coop that are ideal less so that chickens' productivity increases.

Design and Implementation of a Smart System to Control Aromatic Herb Dehydration Process

Drying is a process aimed at reducing the water content in plant materials below a limit where the activity of microbes and decomposing enzymes deteriorate the quality of medicinal and aromatic plants. Today, the interest of consumers towards medicinal and aromatic herbs has registered a growing trend. This study aims at designing a low-cost real-time monitoring and control system for the drying process of aromatic herbs and evaluating drying efficacy on the microbial community associated with the studied herbs. Hot-air drying tests of sage and laurel leaves were carried out in a dryer desiccator cabinet at 40 °C and 25% relative humidity using three biomass densities (3, 4 and 5 kg/m2). The prototype of the smart system is based on an Arduino Mega 2560 board, to which nine Siemens 7MH5102-1PD00 load cells and a DHT22 temperature and humidity sensor were added. The data acquired by the sensors were transmitted through Wi-Fi to a ThingSpeak account in order to monitor the drying process in real time. The variation in the moisture content of the product and the drying rate were obtained. The system provided a valid support decision during the drying process, allowing for the precise monitoring of the evolution of the biomass moisture loss and drying rate for laurel and sage. The three different biomass densities employed did not provide significant differences in the drying process for sage. Statistically significant differences among the three tests were found for laurel in the final part of the process. The microbial loads of the aromatic herbs after drying were influenced by the different leaf structures of the species; in particular, with laurel leaves, microbial survival increased with increasing biomass density. Finally, with the drying method adopted, the two species under consideration showed a different microbial stability and, consequently, had a different shelf life, longer for sage than laurel, as also confirmed by water activity (aw) values.

Design and implementation of temperature and humidity monitoring system for small cold storage of fruit and vegetable based on Arduino

At present, the utilization rate of small cold storage for fruit and vegetable in Yunnan is low, and it is necessary to carry out regional management of cold storage in order to save energy and improve the utilization rate. Because different fruits and vegetables need different refrigeration temperatures, so real-time temperature and humidity monitoring is particularly important. For meeting this requirement, this paper designs an arduino-based temperature and humidity monitoring system for small cold storage of fruit and vegetable. The system mainly includes hardware and software parts. Handware component includes Arduino Mega2560, ESP8266, Zigbee, DHT11 temperature and humidity sensor, and OLED display and the software component includes the Arduino IDE, UartAssist serial debugging assistant, Lighting. Blinker. Finally, the whole system is tested, and the test results show that the system has the characteristics of remote viewing, high measuring accuracy and convenient use, and the system could meet the needs of temperature and humidity management for small cold storage.

Perancangan Mesin Tetas Telur Otomatis Menggunakan Sensor Suhu dan Sensor Udara

ABSTRACTThe design of quail egg incubators is intended to facilitate the hatching process. The heat source used in the incubator is produced from heaters that use incandescent lamps and humidifiers are used as humidity regulators. The temperature regulator uses a fan to maintain air circulation and reduce the temperature when the temperature has exceeded the setpoint. This tool is equipped with a DHT11 temperature and humidity sensor, an incubator motor is used for the egg turning process, a sound sensor is used to detect if an egg has hatched and a GSM module will send an SMS notification to the farmer. The whole system is controlled by Arduino Mega 2560. During the hatching period, the temperature needed to incubate quail eggs is 39oC and humidity is 60%. The eggs in the hatching machine are rotated once every 3 hours with a 45o rotation angle. This is so that the egg can be heated evenly. The hatching process takes 18 days, with a hatching success rate of 98% of 50 eggs. The use of power in the hatching machine is on average 62.44 watts up to 83.45 watts and for 1 hatching period for 18 days, that is 25.2392kWh.Keywords: Arduino Mega 2560, DHT11, humidifier, GSM module

Application of Unsupervised Algorithm for DWC using IOT

Computing and Mechanical advancements today make the science as a part of our life, inducing technology into Agriculture will result in an efficient Agro-product. Our paper intends in designing a sway system for the progression of supplements of hydroponic plants, consequently utilizing Arduino microcontroller and constrained by a System. With the next support of an Arduino UNO R3 microcontroller to naturally control the progression of supplement arrangement with rationale. The sensors like MQ135 gas sensor, DHT22 temperature and humidity sensor, PH and EC sensors are related to Arduino UNO R3 board, is connected with the system. The generated values that are recorded should be stored into the database employing a process called Data Acquisition. A comparative report is finished with generated and standard values of plant germination for the improved development of the hydroponic plant. Keywords:DWC(deep water culture), DFC(deep flow culture), NFT(nutrient film technique), pH(potential of hydrogen), EC(electric conductivity), PWM(pulse width modulation), USB(universal serial bus), ICSP(in circuit serial programming), LED(light emitting diode), DATA ACQUISITION, RB(rice husk biochar), PL(alone or in combination with pertile).

Design of monitoring and automation systems for greenhouse environment based on IoT

In this paper, the greenhouse is controlled by a microcontroller module unit. Some sensors installed to detect soil moisture, temperature, and light intensity. The sensor measurement will be sent to the server via a microcontroller and displayed to web pages. It will control a pump, fan, and LED for adjusting the environment in the greenhouse. On the automatic controller, a pump installed for the moisture of soil, fan for temperature and humidity and LED growth if the lighting is lacking. The test from the sensors can run well, if the soil moisture below 40%, a pump will be automatic on. For temperature above 31°C, two fans will on. For light below 50%, LED will on. The system can control fans by dht11 temperature for 90%. The LDR can control LED for 85%. The soil moist can control a pump for 80%. The greenhouse can still run well in maintaining appropriate conditions on the plant. With the advancement of technology, we can control and monitor greenhouses using IoT.

Android Based Defence Robot

Being in the era where the defense robots are implemented, for the purpose of reconnaissance, breaching missions were the patrols have never tried in the war field. In previous conventional systems, the terrain infantry's tough jobs had been done by utilizing zig-bee based teleoperation systems, CMOS cameras & LCD displays. The proposed system is improved with computerized display and Android-based ethical hacking technique. This is to achieve a live video streaming with less time and power consumption between the peripherals. The newly proffered system involves a bot that can perform all directional movements, night vision, pick and place by using gripper, gun projection control. It is based on the user’s instruction from the control room the robot can perform laser shoot and sensing temperature conditions. This can be done simply by utilizing Node MCU (ESP 8266(Wi-Fi module) with inbuilt microcontroller), Android mobile phone, servo motors and a DHT22 or DHT11 (temperature sensor).

基于FPGA的智能调速直流风扇设计

本文主要介绍一款基于FPGA的智能调速风扇系统。本系统采用两种控制方式，一是温度自动控制，二是传统的档位控制，采用KCD1船型开关进行切换，并配备夜间呼吸灯用以提高用户舒适度。本设计以FPGA为控制核心，采用DHT11温湿度传感器检测室内温湿度，8位数码管实时显示温湿度数据，同时辅以温度自适应转速调节控制算法输出PWM调制信号到L9110直流电机驱动模块用于驱动并调节直流电机转速，达到自动控制风扇转速的效果。此设计的创新点在于，本研究从传统的风扇出发，加装本设计系统就可实现智能控制，兼顾其便利与舒适。 This article mainly introduces an intelligent speed-adjusting fan system based on FPGA. The system adopts two control modes, one is automatic temperature control, the other is traditional gear control, which is switched by KCD1 ship type switch, and equipped with nighttime breathing lights to improve user comfort. This system takes FPGA as the control core, the DHT11 temperature and humidity sensor is used to detect the indoor temperature and humidity. The 8-bit digital tube displays the temperature and humidity data in real time, and is supplemented by the temperature adaptive speed adjustment control algorithm. The PWM modulation signal is output to the L9110 DC motor drive module for driving and adjusting the DC motor speed to achieve the effect of automatically controlling the fan speed. The innovation of this design lies in that this research starts from the traditional fan, and the intelligent control can be realized by adding this design system, taking into account its convenience and comfort.

Model Pendeteksi Api dalam Ruangan Berbasis SMS Menggunakan Logika Fuzzy

Automation system in its function to helps and makes human life easier has experienced a significant growth in recent years, for example in security field. Low security level such as no fire detection system is one of the factors which is supporting the possibilities of fire accidents to happen. This system detects the possibilities fire using fuzzy logic. This system uses microcontroller Arduino Uno as control unit, flame sensor to check infrared ray from the fire, DHT11 temperature sensor to monitor the temperature in the room, and GSM shield to send SMS. Sensors will detect fire in the room and send the collected information to be processed by Arduino Uno by implementing fuzzy logic. SMS-Based Indoor Fire Detection System Models Using Fuzzy Logic has many benefits in the development of room safety systems from fire hazards. The design of this system is simple but can be widely applied to further research development.

Android Based Defence Robot

Being in the era where the defense robots are implemented, for the purpose of reconnaissance, breaching missions were the patrols have never tried in the war field. In previous conventional systems, the terrain infantry's tough jobs had been done by utilizing zig-bee based teleoperation systems, CMOS cameras & LCD displays. The proposed system is improved with computerized display and Android-based ethical hacking technique. This is to achieve a live video streaming with less time and power consumption between the peripherals. The newly proffered system involves a bot that can perform all directional movements, night vision, pick and place by using gripper, gun projection control. It is based on the user’s instruction from the control room the robot can perform laser shoot and sensing temperature conditions. This can be done simply by utilizing Node MCU (ESP 8266(Wi-Fi module) with inbuilt microcontroller), Android mobile phone, servo motors and a DHT22 or DHT11 (temperature sensor).

KONTROL DAN MONITORING OTOMATIS RUMAH KACA UNTUK BUAH STRAWBERRY

Strawberry fruit is one commodity that has the potential to be commercially developed, because strawberries have high economic value. However, strawberries in Indonesia at this time only lead to the level of quantity of production by holding land expansion, not yet leading to the level of quality and handling of strawberries after harvest. Greenhouse is a building made of glass or plastic which can be used as a place for cultivation of plants. Greenhouses are designed so that the cultivated plants obtain optimal conditions in the growth process. The system inside the greenhouse can be controlled automatically to reduce the room temperature so that plants can grow optimally. Automatic greenhouse control and monitoring for strawberry fruit is designed with a building ratio of 1: 25cm from its original size and can accommodate strawberry fruit plants in 2 small polybags used as research samples. This control and monitoring system starts from the input process which is derived from the DHT11 temperature sensor and the YL69 soil moisture sensor. Temperature sensors can read greenhouse conditions by getting a 5V DC voltage from Arduino Uno, as well as the YL69 sensor. The results obtained are the temperature sensor can read the temperature and conditions in the greenhouse then displayed on the 16x2 character LCD screen and the YL69 soil moisture sensor can read the water content below 70% which will then turn on the water pump automatically and provide notification through the telegram application with the help of Wi-Fi module ESP8266.

Automation System and Monitoring in the Hydroponic Cultivation Process Integrated with Internet Network

The monitoring system in nutrient solution is something that must be considered in the process of hydroponic cultivation, because it is from this nutrient solution that ensures the result and quality of the hydroponic plant itself. Important variables such as acidity, temperature and concentration of nutrient solution are the values that determine whether or not the nutrient solution will be given to the hydroponic plant. Important variables in improper nutrient solutions will make the hydroponic cultivation process for crop failure. This research uses a PH sensor that serves to detect the acidity level of the nutrient solution and the DHT11 temperature sensor which functions to read the condition of the nutrient solution temperature and the TDS sensor detects the concentration of the nutrient solution. The microcontroller used is the type of Atmega328 which is used as a processing of all inputs and outputs. This monitoring system is connected to the internet so that all sensor reading values can be viewed through an Android phone and can be accessed via the Web, so that the monitoring process can be done remotely. From the test results obtained prove that this system has been successfully integrated and is able to work well according to the desired target, which can monitor the acidity and temperature conditions in hydroponic plants that can be accessed directly through mobile phones and has been integrated with the internet network.
 
 Keywords— automation; monitoring; cultivation; hydroponics; internet

Development of Automatic Poultry System (Quails) using Arduino Microcontroller

The main purpose of the development of automatic poultry system (quails) using Arduino microcontroller. Quail farmers face problem to maintain or increase their livestock due to high mortality rates during the changes of quail growth phase. The mortality rates mainly affected by uncontrolled climate change of the environment. Therefore, this project is developed to helps broiler quail farmers to maintain their livestock with less supervision from them. At the same time, ensuring stable growth rates and reducing the mortality rates affected from uncontrolled climate/environment factor which is temperature, surround air quality, and intensity of lights is the main focus of this project. In controlling the temperature, air quality, and intensity of light, the DHT11 humidity and temperature sensor, MQ135 air quality sensor, and TSL 2561 digital luminosity (lux) sensor used in this project along with Arduino microcontroller to maintain and control those climate/environment factor at specific range of parameters so that it satisfies with quail growing phases. As the result, it shows that by implement this project can increase performance growth and reduce the mortality rates of the quail compare to conventional method. The retrieved data from the project prototype system and actual experiment is then been analyze, evaluate and kept for further improvements.

Peat Land Fire Monitoring System Using Fuzzy Logic Algorithm

In this research, a fuzzy logic algorithm is implemented in a monitoring system for detecting the potential fires in peat land. The monitoring system in this research employs two sensors as the fuzzy inputs, i.e. TGS 2600 gas sensor and DHT11 temperature sensor. The outputs of the fuzzy logic are the specified conditions of motor activation (PWM) with 3600 rotations. The system is monitored through camera, which sends the monitoring result to android via web server. The result is sent when TGS 2600 and DHT11 sensors detect the determined gas concentration and surrounding temperature. Before sending the result, the rotating motor stops every five minutes to take the photograph of peat land location. The result shows that the algorithm used in this research has been successful in determining the condition of the peat lands correctly and therefore can be used as the early prevention of fires.

Development of LOCAL-IP based Environmental Condition Monitoring using Wireless Sensor Network

Background & Objective: In this paper, environmental monitoring system is implemented using a wireless sensor networking (WSN) via a local internet protocol (IP) utilizing Wi-Fi media. For enchanting data, DHT-11 (Temperature and Humidity sensor) and MQ-6 (LPG gas sensor) are being used. Methods: The basic objective of this research is to monitor and to develop a real-time monitoring of humidity and temperature, as well as the availability of gas using the very available DHT-11 sensor, MQ-6 sensor, and ESP-8266 NodeMCU module and then observe the data from a local IP based webpage. Conclusion: This paper also makes a compact distinction between conventional and the local IP based observing system of an environment. The sensor's data are saved in an IP based webpage by which we can monitor the sensor’s data without any access to the internet.

SUPPORT VECTOR MACHINE-BASED FIRE OUTBREAK DETECTION SYSTEM

This study employed Support Vector Machine (SVM) in the classification and prediction of fire outbreak based on a fire outbreak dataset captured from the Fire Outbreak Data Capture Device (FODCD). The fire outbreak data capture device (FODCD) used was developed to capture the environmental parameters values used in this work. The FODCD device comprised a DHT11 temperature sensor, MQ-2 smoke sensor, LM393 Flame sensor, and ESP8266 Wi-Fi module, connected to Arduino nano v3.0.board. 700 data point was captured using the FODCD device, with 60% of the dataset used for training while 20% was used for testing and validation respectively. The SVM model was evaluated using the True Positive Rate (TPR), False Positive Rate (FPR), Accuracy, Error Rate (ER), Precision, and Recall performance metrics. The performance results show that the SVM algorithm can predict cases of fire outbreak with an accuracy of 80% and a minimal error rate of 0.2%. This system was able to predict cases of fire outbreak with a higher degree of accuracy. It is indicated that the use of sensors to capture real-world dataset and machine learning algorithm such as the support vector machine gives a better result to the problem of fire management.

Smart Farming using IoT, a solution for optimally monitoring farming conditions

Internet of Things (IoT) is present and future of every field impacting everyone’s life by making everything intelligent. It is a network of different devices which make a self-configuring network. The new developments of Smart Farming with use of IoT, by day turning the face of conventional agriculture methods by not only making it optimal but also making it cost efficient for farmers and reducing crop wastage. The aim is to propose a technology which can generate messages on different platforms to notify farmers. The product will assist farmers by getting live data (Temperature, humidity, soil moisture, UV index, IR) from the farmland to take necessary steps to enable them to do smart farming by also increasing their crop yields and saving resources (water, fertilizers). The product proposed in this paper uses ESP32s Node MCU, breadboard, DHT11 Temperature and Humidity Sensor, Soil Moisture Sensor, SI1145 Digital UV Index / IR / Visible Light Sensor, Jumper wires, LEDs and live data feed can be monitored on serial monitor and Blynk mobile. This will allow farmer to manage their crop with new age in farming.

Intelligent Baby Box Based on IoT to Observe Room Temperature and Baby Crying

Internet of Things (IoT) connects a global infrastructure in communities so they can take benefit of advanced services, by connecting objects (things) both physical and virtual with the Internet so that objects can communicate each other. The object of this study is a baby box to control the baby’s condition. When the baby cries too long it may cause Baby Distressed Tantrum which is the feeling of being depressed in the baby because they feel ignored. If this happens for a long time will endanger the baby's health as it is related to respiratory function and cardiac performance. The function of the baby box is to observe a baby when left without supervision. It will enable users to know if the baby is sleeping, awake or crying. Leaving a crying baby too long may have a negative effect. By applying the Internet of Things (IoT) in the design of an intelligent a baby box will help the parents and babysitter in controlling the baby if they have other activities to do. The baby box monitoring system has a dht11 temperature and humidity sensor, and a noise sensor to detect the baby crying. An esp8266 module on Wemos d1 will send data to an android smartphone and notify the user by sound or vibration.