DHT11 Sensor Research Articles

Implementation of a long range-based monitoring system for environmental remote safety schemes

<p>The effects of poor air quality on people are profound. Air pollution and health issues are linked to millions of deaths. The World Health Organization (WHO)and the environmental protection agency (EPA)have produced several regulations and guidelines to control and enhanceair quality. Several authors have recently suggested low-cost tools for instantly assessing air quality. the abundance of inexpensive ways to assess air quality and collect sensor data. The design and employment of remote safety monitoring for humidity, temperature, and carbon monoxide has been merged into a single tool in this work. The results findings can be observed on the actual measured instrument’s organic light-emitting diode (OLED)show and the liquid crystal display (LCD)remote monitoring system. This device uses ESP32 microcontroller with long range (LoRa)wireless communication technology.The DHT22 sensor is used to detect humidity and temperature, while the MQ-7 sensor is used to monitor carbon monoxide levels. Testing measurements are calibrated using instruments that meet industrial standards (AS8700A CO meter and 4,000 NV weather tracker) used in environmental station. If the abnormalities in the recorded parameters are detected, then alert will be triggered. This instrument can help patients and workers to check their surroundings and provide remote monitoring to health service providers.</p>

Design of a Web-based Cold Storage Temperature Monitor with Arduino Uno for Fish Quality Maintenance: Sensor-based Methodology and Innovative Contribution

The development of a web-based cold storage temperature and humidity monitoring device using Arduino Uno aims to monitor room conditions, particularly in cold storage spaces, through a website. This device utilizes DHT11 and DS18B20 sensors, along with the Wemos D1 Mini module, integrated with the Arduino Uno microcontroller. Arduino configuration is performed through an application to send commands to other components. The research was conducted at PT. Indu Manis Gresik, East Java. Data collection and testing were carried out at the specified location. The test results demonstrate the device's efficient operation, transmitting testing data to the associated website. The accuracy of the DS18B20 temperature sensor testing reached 98.8%, while the DS18B20 humidity sensor achieved 99.35%.

Dual axis solar tracking system

<span>Now a days, many people use solar photovoltaic systems since they generate efficient and clean energy. Polycrystalline and monocrystalline silicon modules are currently the most widely used products in the solar industry. Aside from possessing a flawless lattice structure, a high level of material purity, a low grain boundary energy, a weak internal resistance, and a high level of efficiency, monocrystalline silicon cells also have a uniform colour and a lack of spots, which contribute to its good aesthetic appeal. By placing the solar panels at the precise angle and direction specified by the motion of the sun, the system's efficiency can be increased. The solar tracking system for this research project uses LDR sensors that are connected to a microcontroller to track the sun's horizontal and vertical axes, while DHT11 and rain sensors are used to track the weather. This study offers a method for repositioning a solar array so that it faces the sun at all times. Since solar modules effectively convert sunlight into electricity, they are helpful solutions to the problem of power generation in remote areas. A microprocessor is used in the construction of such a system to operate a motor and sensor.</span>

Integrated Room Monitoring and Air Conditioning Efficiency Optimization Using ESP-12E Based Sensors and PID Control Automation: A Comprehensive Approach

This study addresses the critical need for efficient room monitoring and air conditioning systems, particularly in educational settings like the STMIK STIKOM Indonesia campus. The paper introduces a novel approach that combines ESP-12E based sensors with Proportional-Integral-Derivative (PID) control automation to optimize air conditioning efficiency. Utilizing an ESP-12E microcontroller, the study designed and implemented a room monitoring tool equipped with DHT22 and BH1750 sensors for accurate measurement of temperature, humidity, and light intensity. We also explores the integration of a PID control system into an existing air conditioning (AC) unit. The PID controller was fine-tuned to maintain a stable indoor temperature of 25oCelsius, even when subjected to external heat loads, such as ten LED lamps. The effectiveness of this system was quantified through real-time monitoring of temperature, humidity, and energy consumption, both pre- and post-implementation. Results indicated a rapid and stable response from the PID controller, achieving an amplitude of 1 within 0.08 seconds, thereby confirming its successful tuning and adaptability. We found that this study has broader implications for enhancing energy efficiency and creating conducive learning environments. However, it is worth noting that the research was conducted under specific conditions, and further studies could explore its applicability in different settings.

Blynk App-Based Plant Monitoring System Design

Plantations represent a vital economic sector in Indonesia. However, farmers who rely on plantations for their livelihood often encounter challenges related to air and soil quality, which can significantly impact plant growth. Each type of plant requires specific air and soil conditions to thrive optimally, including factors such as air temperature, humidity, soil moisture, and pH levels. To address these issues, a solution has been developed in the form of a plantation monitoring system that can be accessed remotely and in real-time through cellular and desktop applications. This monitoring system utilizes various sensors, including DHT11 sensors, resistive soil moisture sensors, and soil pH sensors, all of which are meticulously calibrated with digital soil sensors. The collected data can be conveniently monitored and managed through an Internet of Things platform, such as Blynk.Based on the case study, the measurement system that is displayed on Blynk has a range of 0-100 °C for air temperature, 0-100% for air humidity, 0-1000 for soil moisture, and 0-14 for soil pH.

Machine learning enabled IoT system for soil nutrients monitoring and crop recommendation

Agriculture plays a vital role in feeding the growing global population. But optimizing crop production and resource management remains a significant challenge for farmers. This research paper proposes an innovative ML-enabled IoT device to monitor soil nutrients and provide accurate crop recommendations. The device utilizes the FC-28 sensor, DHT11 sensor, and JXBS-3001 sensor to collect real-time data on soil composition, moisture, humidity, temperature, and for nutrient levels. The collected data is transmitted to a server using the MQTT protocol. Machine learning algorithms are employed to analyze the collected data and generate customized recommendations, including a possible high-yielding crop list, fertilizer names, and its amount based on crop requirements and soil nutrients. Furthermore, the applied fertilizers and treatments to the field during production are stored in the database. As a result, it has become possible to determine the quality of the produce at the consumer level through the mobile app. The system's effectiveness is evaluated through field experiments, comparing its performance with traditional methods. The results demonstrate the device's ability to enhance crop productivity and optimize resource utilization, promoting sustainable agricultural practices and food security. The research contributes to IoT-enabled agriculture, demonstrating the potential of ML techniques in improving soil nutrient management, facilitating informed decision-making about crop fertilizers, and assessing the quality of produced crops at the consumer level.

Temperature and Humidity Control System With Long Range in Mushroom Barn Using Fuzzy Logic

Room temperature and humidity are parameters required for quality mushroom growth. To get the appropriate and stable temperature and humidity values, a control system is needed. This test aims to create a temperature and humidity control system using IoT-based fuzzy logic implementation. This temperature and humidity control system, uses the main components of DHT22 sensors, NodeMCU ESP32, Arduino nano and Lora. The transmitter is placed in the mushroom barn. The transmitter control system stabilizes the temperature and humidity in the barn using a predetermined fuzzy method. After that, the data processed at the transmitter will be sent to the receiver via Lora communication. At the receiver, the device is placed in the mushroom farmer's house, which will capture the data sent by the transmitter. This recognition system has a good level of accuracy against the DHT22 sensor and Hygrometer, which has a difference of 1℃ or a difference of 2.08%. In contrast, for humidity, it has a total difference of 16% or 97.61%. When testing using fuzzy logic, the resulting temperature and humidity are stable, and the predetermined fuzzy logic carries out watering.

RANCANG BANGUN SISTEM PENYIRAMAN OTOMATIS MENGGUNAKAN SENSOR KELEMBABAN TANAH PADA TANAMAN SELEDRI BERBASIS NodeMCU ESP8266

Celery is the one of the vegeTabels that has several benefits, it can be used as a complement for cooking and it has medical function. Several factors that influence the growth of celery are soil and air conditions. These conditions must be always monitored so that the growth of celery becomes fertile. The design of automatic watering monitor system use soil’s moisture sensor, it can help the farmers and celery cultivators to increase the productivity and quality of celery cultivation. By using the NodelMCU ESP8266, which is equipped by a soil’s moisture sensor and DHT11 sensor. Thus, it can monitor the condition of soil’s moisture, air temperature, humidity, and record the data that can be stored in database and displayed on a web page by using Tabel form. This research produces a prototype system that can be able to monitor soil’s moisture conditions, air temperature and humidity in celery cultivation, it can be used to monitor soil conditions in order to maintain the humidity.

Design and Fabrication of Greenhouse Monitoring and Control System Based on Global System for Mobile Communication and Bluetooth

Greenhouse technology should be embraced as a way of minimizing food insecurity in Kenya. Greenhouses have attempted to solve this problem by enclosing crops in a climatically controlled environment. In the past, greenhouses utilized electromechanical devices such as thermostats to monitor and control the greenhouse environment. Mechanical systems lack the flexibility and precision required for greenhouse control. Some modern greenhouses use computers -based controllers, which are station- based, bulky and costly. In this study a wireless prototype greenhouse monitoring and control system that is flexible, cheap, easy to maintain and easy to assemble was developed and implemented. The hardware consisted of ATmega328 microcontroller, Global System for Mobile communication (GSM) SIM800L module, HC05 Bluetooth module, HD44780U Liquid Crystal Display (LCD) module, 5 volts 4 channel relay module, Light dependent resistor (LDR) sensor and digital humidity and temperature (DHT11) sensor. The DHT11 and LDR sensors, the relay, the LCD, the GSM and the Bluetooth modules were interfaced to the ATmega328 microcontroller, through Arduino software, a program was written in C language, developed and uploaded to the ATmega328 microcontroller to run the greenhouse prototype. The designed prototype system is able to measure temperature, humidity, and light illuminance levels in the prototype greenhouse and display the values on the LCD. The system also transmits the measured values to owner’s phone via Bluetooth or GSM and keeps these parameters at optimum levels by use of two fans, a heater, a bulb and a sprinkler. From results, when the actuators were on, the average internal temperature was 24.5 ºC while the average external temperature was 31.43 ºC. The average temperature control effect and cooling efficiency per hour for the designed prototype were 6.9 ºC and 75.9%, respectively. At stable cooling state, the maximum cooling efficiency was 78%. This project therefore provides a cost effective and efficient means of monitoring and controlling greenhouse parameters. In addition, the system allows mobility during monitoring and control process. The agricultural sector in Kenya, can apply the designed prototype in the design and implementation of greenhouses.

Sistem Monitoring Suhu Lab Komputer Universitas Bina Darma Berbasis IOT Mobile Android Menggunakan Arduino

This study aims to create a computer lab temperature monitoring tool using the DHT11 sensor and the NodeMCU ESP8266 device based on the internet of things integrated with Android mobile devices. The system research and development method used in this research is the R&D (Research and Development) method. Research and Development (R&D) is a research method used to produce certain products, and test the effectiveness of these products. This system will be designed and developed to monitor temperature via an Android smartphone. The system consists of several components, the main component is NodeMC ESP8266 which will obtain an input signal from the DHT11 temperature sensor, after which the data is stored in a database using the internet network via wifi. The increase in temperature when the engine is operating is recorded by the sensor and will be sent to the microcontroller which can be accessed via an android smartphone mobile device. Testing this system will be carried out into two parts, namely the first is testing on hardware such as the functionality of the tools that have been made, especially the sensitivity of the DHT-11 sensor in reading temperature and humidity, the second is Blackbox testing on software, namely testing whether there is a software failure in reading sensor values. sent

Design of a Microcontroller-Based Corn Dryer

Maize drying is a crucial procedure in the agricultural and food industries, aimed at decreasing the moisture content of maize kernels to prolong their shelf life, inhibit microbial growth and maintain their quality. Two common methods for drying corn include natural techniques, which involve drying the maize in the sun, and artificial techniques, where specialized equipment such as hot air dryers, drum dryers and microwaves are employed. The author constructed a corn dryer utilizing Arduino. This device employs heat elements and fans to expedite the corn drying process. The tool can significantly quicken the corn drying process. The author utilises a DHT22 sensor to gauge temperature and humidity levels of the corn. The device is capable of generating temperatures ranging from 20?C to 90?C, thanks to the assistance of the DHT22 sensor during the drying process.

Rancang Bangun Sistem Pemberi Minum Lalat BSF (Black Soldier Fly) Otomatis Berbasis Mikrokontroler

The BSF fly (Black Soldier Fly) commonly known as the black soldier fly is an insect whose larvae are widely used as animal feed or commonly known as a maggot. BSF flies only need to drink, and do not eat. BSF fly feeding should be given regularly based on the ambient temperature around the cage. At this time, BSF fly breeders tend to have a busy and congested schedule so the cage spraying schedule is neglected. In addition, human negligence factors such as laziness and forgetting also make the spraying schedule irregular. Spraying of the cage was done manually using a plant sprayer. Therefore, research was conducted on the design of a microcontroller-based BSF fly drinking system. This system can perform automatic spraying of BSF flies based on the high and low temperatures around the cage, as well as provide notifications to the telegram of the BSF fly owner. Based on the study's results, this system detects the temperature around the cage using a DHT22 sensor and then sprays drinking BSF flies with the help of a DC pump. This system can be connected to the internet to send notifications that the cage has been sprayed via the telegram application of the cage owner.

Design and Development of Alcohol Level Detector for Liquid Herbal using Fuzzy C-Means Method

Consuming alcoholic beverages improperly or excessively has a very bad impact on the health of the human body, it can even cause accidents, fights, theft, murder and the risk of death. This research produces a tool that can detect alcohol content in liquid herbal using the MQ-3 sensor, DHT22 sensor, data logger to store test results data and the test results are grouped by means of manual calculations with Microsoft Excel and Matlab software simulations. The type of liquid herbal used is liquid herbal for rheumatic pain, gout, dizziness, colds and coughs. In each liquid herbal test, it takes 10 minutes/liquid herbal medicine and is repeated 6 times for each liquid herbal test. Based on the test that the higher the temperature affects the increase in the proportion of the alcohol content of the liquid herbal and the minimum temperature obtained is 30.8°C to 32.9°C. Microsoft excel calculations and matlab simulation software, clusters are divided into 3 according to the type of alcohol content group and the iteration stops at the 12th iteration with the objective function value = 0.00074 < error = 0.001. From the results using Matlab Software, 8 data were obtained in group A with an average alcohol content 9,9%, 9 data in group B with an average alcohol content of 9,05% and 13 data in the content group C with an average alcohol content of 10,73%.

Smart Garden System Based on Internet of Things using NodeMCU ESP8266

Gardening is an agricultural sector that requires control and monitoring of work. However, the management and monitoring are still done manually. Therefore, we developed an internet of the things-based smart garden to monitor and control plants. This study aims to determine the design and performance of the system. This research is a type of engineering research. The measurement technique is to measure directly by comparing air humidity, air temperature, soil moisture, and soil temperature with the standard tool. The indirect measurement is by analyzing the value of accuracy and precision of the instrument. The system uses a DHT11 sensor measuring air temperature and humidity, a soil moisture sensor, and a DS18B20 sensor to measure soil temperature. The device has nearly 100% accuracy in all parameters, especially in the range of 93.53% to 98.61%. Precision for all parameters of the selected devices is also close to 100% in the range of 98.6% to 99.8%. Based on these results, the design of the smart garden tool can work well

Design and Implementation of an Open-Source and Internet-of-Things-Based Health Monitoring System

Across the globe, COVID-19 had far-reaching impacts that included healthcare facilities, public health, as well as all forms of transport. Hospitals were experiencing staffing shortages at the same time as patients were experiencing healthcare issues. Consequently, even in developing countries without full access to technology, remote health monitoring became necessary. There was a greater severity of the pandemic in countries with fewer financial and technical resources. It became evident that such remote health monitoring systems that not only allowed the user to monitor their basic health information, but also to communicate that information to healthcare personnel, were essential. In this article, we present an open-source, Internet-of-Things (IoT)-based health monitoring system that is intended to mitigate the basic healthcare challenges posed by remote areas of developing countries. To facilitate remote health monitoring, an IoT server has been configured on an ESP32 chip as part of this study. The microcontroller was also connected to a Max 30100 sensor, a DHT11 sensor, and a global positioning system GPS module. As a result of this, the user is able to measure the heart rate (HR), blood oxygen level (SpO2), human body temperature, ambient temperature and humidity, as well as the location of the user. Through the internet protocol, the important vital signs can be displayed in real time on the dashboard using a private communication network. This article presents the details of a complete system design, implementation, testing, and results. Such systems can help limit the spread of infectious diseases like COVID-19.

Sistem Kontrol Lampu Dan Kipas Angin Dengan Google Assistant Berbasis IoT

Electricity usage in Indonesia has become an essential part of daily life, steadily increasing over the years. According to the Central Statistics Agency, per capita electricity consumption was 0.91 MWH in 2015, rising to 1.09 MWH in 2020. This upward trend can be curbed with technological advancements. In many buildings, lights and fans are manually controlled through switches. While suitable for small spaces, this method becomes inefficient and leads to energy wastage in larger buildings with multiple rooms, often going unnoticed. Additionally, the perception of electricity wastage varies among individuals, depending on their habits. To address this, a smart IoT-based system with Google Assistant control has been designed. The system employs NodeMCU ES8266 microcontroller, DHT11 sensors, 2-channel relay, USB fans, 5W light bulbs, Google Home, Google Assistant, and Sinric Pro. Tested in a black box scenario, the system achieved an accuracy rate of 83%. The DHT11 sensor exhibited a maximum error of 5% for temperature readings and 1% for humidity. The overall error for DHT11 sensor readings ranged from 13% to 8%.

Smart Agricultural Monitoring System using IoT Application for Chili Plants

The use of IoT applications for agricultural in Malaysia is still low. The farmers are mainly using the traditional method compared to modern agriculture by using advanced technology system like IoT application. However, the use of traditional agriculture requires a lot of work and use of labour. This will result their agricultural system become less efficient and quality of production becoming low. Thus, development of system for monitoring and automation are needed to help farmers to manage their agriculture. This paper focused on development of smart agriculture for monitoring and automation system on chili plants using IoT application. The system is developed using Arduino as microcontroller, soil moisture sensor, DHT11 sensor (temperature and humidity), ultrasonic sensor, servo motor, water pump and ESP8266 (Wi-Fi Module). The Wi-Fi module provides internet access to the local network which allows the system to connect to the system and the mobile phone. Soil moisture sensor used to measure the moisture of soil content. DHT11 sensor was used to measure the temperature and humidity of surrounding area of plants. Ultrasonic sensor was used to measure the height of plants. Servo motor is controlled by automation system via Remote XY Apps to provide the fertilizer to the plants. The water pump also can be controlled by the Remote XY apps as to water the plants. Then, data that was collected from the sensors was sent to user via Remote XY apps where user can control the system that is to turn on the servo motor and water pump to fertilize and water to the plants. Therefore, this system can help farmers to manage their agriculture efficiently and improve their quality and quantity of crops.

Rancang Bangun Sistem Kontrol dan Monitoring Suhu dan Kelembaban Tanah pada Greenhouse berbasis Internet of Thing menggunakan Aplikasi Telegram

The quality of plant growth is significantly influenced by environmental factors, including temperature, air humidity, soil moisture, light intensity, and air quality. Therefore, an agrotechnology approach is required to manage exposure to these environmental factors in accordance with the needs of plant growth processes, which can be achieved through greenhouse technology. To facilitate real-time and remote monitoring and control in the greenhouse farming system, this research involves the design of a temperature and humidity control and monitoring system based on the Internet of Things (IoT). This study employed a NodeMCU ESP8266 microcontroller and a DHT11 sensor to detect the temperature and humidity levels in the greenhouse. The performance test results show that the system works well according to the programming algorithm provided, with an average error rate of 1.2% for the temperature sensor and 1.17% for the humidity sensor. The test results for notification delay time on the Telegram application also meet the standard requirements of Telecommunications and Internet Protocol Harmonization Over Networks (TIPHON), with an average delay value of 0.532882 ms

Sistem Informasi Suhu dan Kelembaban Inkubator Telur Ayam Menggunakan Sensor Dht22 Berbasis Mikrokontroler

Measurement of temperature and humidity generally uses a tool that can determine the value of two physical quantities of a material or system (thermometer or hygrometer). When it comes to hatchery incubators, success and protection are priorities. The microcontroller is a small computer in the form of a chip, DHT22 temperature and humidity sensor with a range of (-40)-80°C. Formulation of the problem, (1) How to get digital data of hatching incubator room temperature using a microcontroller? (2) How is the application of the system to hatching incubators?. Methods of research, analysis, implementation, and simulation (a) Analysis, the lowest ideal temperature for hatching eggs shows a figure of approximately 38°C and the highest is 38.5–39°C. (b) Implementation, starting with the use of DHT22 giving a temperature signal according to whether or not when the condition of the incandescent lamp as a heater will turn on or off, the display will be displayed on the LCD. (c) Simulation, the first stage is the DHT22 schematic to Arduino, the second stage is the relay schematic to Arduino, the third is I2C LCD to Arduino, the fourth is relay to lights and indicators. Based on the analysis, implementation and simulation, conclusions are drawn (1) Digital data related to temperature from the DHT22 sensor displayed on the LCD can be applied to help monitor the hatching process of chicken eggs using an incubator. (2) Arduino board-based microcontrollers can be applied as controllers related to system flow in chicken egg hatching incubators.

Flood Monitoring System Based on IoT

Flooding is one of nature’s unavoidable calamities. It happens too quickly and affects far too many people and properties. Prior to this, the majority of previous systems exclusively focused on specific regions. Aside from that, the bulk of the people is unable to monitor and has no idea when the flood will occur since they lack access to weather information and data. By implementing an IoT (Internet of Things) based smart flood monitoring system, all of the shortcomings of the current system will be addressed. This project proposes a smart city flood monitoring and alerting system based on IoT. The open source Arduino electronic platform serves as the base for this project. This system uses water level and DHT11 sensors. Water level sensors were employed to measure the water level. This sensor will be in charge of sound navigation and range. It will function by sending out a short, high-frequency pulse, listening for the echo, and determining the level from there. A cheap digital temperature and humidity sensor is the DHT11. If the water level is unsafe, an alert message is sent and an alarm is activated to sound a flood alert. The water level and rainfall intensity in the area around the stream are monitored using NODEMCU. The LCD and LED functions are to display and signal the water level. The system will detect water level using a water level sensor and will automatically send a notification to the user’s smartphone via IoT technology via the Blynk application.