NodeMCU ESP8266 Research Articles

System monitoring of solar power plant using NODE MCU ESP8266 based on IOT

System monitoring of solar power plant using NODE MCU ESP8266 based on IOT

IoT-Based Smart Home Automation System Using NodeMCU

The Smart Home Automation System utilizes the NodeMCU ESP8266 microcontroller, integrated with key sensors and actuators, to enable intelligent, remote control and monitoring of home appliances. This project automates environmental regulation and appliance control by using a DHT11 sensor, relay modules, and the Blynk IoT platform, allowing users to manage devices such as fans and lights through both manual and automatic modes. Temperature and humidity data, collected by the DHT11 sensor, enables real-time monitoring and automated fan control based on predefined conditions. Data is transmitted wirelessly to the Blynk cloud, where it is stored, visualized, and accessible on user-friendly mobile dashboards. The system includes alert mechanisms and remote accessibility, promoting energy efficiency and enhancing user convenience. Designed with a modular architecture, this system supports easy customization and scalability for integration with additional devices and sensors, aligning with the broader objectives of smart home ecosystems. Overall, this project showcases the potential of IoT-driven home automation in achieving greater energy management, user comfort, and operational simplicity

IoT-Based Control, Monitoring, and Protection System for 3-Phase Induction Motors in Electric Motorcycles

This study investigates the application of the Internet of Things (IoT) for wireless control and monitoring of a 3-phase electric motor using a smartphone. The system integrates PZEM-004T, DS18B20, and Hall Effect sensors to collect data on voltage, current, temperature, and rotational speed using the NodeMCU ESP8266 microcontroller. Measurements are displayed on an LCD and transmitted to the Blynk server for smartphone access. A comparative method evaluates the accuracy of sensor readings against standard measuring instruments. Results obtained an average percentage error of 0.5% for the R phase voltage, 0.2% for the S phase, and 0.1% for the T phase. Current measurements reveal errors of 5% for the R phase, 10.3% for the S phase, and 11.7% for the T phase. The control system’s performance varies with internet speed, with an average delay of 0.99 seconds on a 4G network and 2.51 seconds on 3G. Additionally, the study evaluates three protection mechanisms, demonstrating that the motor stops within 4.03 seconds in the event of a phase failure, while overcurrent and overheating protections activate within 8.47 seconds and 3.64 seconds, respectively. Overall, the findings affirm the viability of IoT in motor monitoring and control, emphasizing accuracy and response times under varying conditions.

Design of IoT-based monitoring system for temperature and dissolved oxygen levels in catfish aquaculture pond water

<span>One of the fish in Indonesian waters that has been successfully bred and cultivated is the catfish (Pangasius sp.). In catfish farming, there are several water quality factors that need to be considered, such as temperature and dissolved oxygen levels. Based on the existing description, it is very important to pay attention to the water quality of aquaculture ponds, especially temperature and dissolved oxygen levels for fish survival. This study aims to create an internet of things (IoT) based monitoring system for temperature and dissolved oxygen levels in catfish aquaculture pond water based on NodeMCU ESP8266. Monitoring system is using SEN0237 gravity analog dissolved oxygen sensor, DS18B20 sensor module, NodeMCU ESP8266, 20×4-character liquid-crystal display (LCD), micro secure digital (SD) card module, internet modem. Data from measurements of temperature and dissolved oxygen levels are stored online in the Adafruit.io database in the .csv format and on a micro secure digital (SD) card in the device in the .txt format. The lowest value of dissolved oxygen levels and temperature are 3.4 mg/L or 3.4 ppm and a temperature of 27.9 °C, respectively. Meanwhile, the highest value of dissolved oxygen levels and temperature are 4.6 mg/L or 4.6 ppm and temperature of 30.9 °C, respectively.</span>

Industry Monitoring & Security System Using IoT

This paper presents an IoT-based industrial monitoring and security system using the NodeMCU ESP8266 and multiple sensors (MQ2, flame sensor, DHT11, LDR module, PZEM-004T) for real-time detection of hazards like gas leaks, fires, and electrical overloads. The system automates lighting and machinery control, sending alerts via Telegram for immediate response. It is cost-effective, scalable, and modular, ensuring reliable operation through a stabilized power supply, making it suitable for diverse industrial applications.

Pattern-based Remote Switch for Domestic and Technological Operations

Abstract: This research explores the development of a remote-control system for domestic appliances using user-drawn patterns on a grid, aiming to provide an intuitive and accessible control method. The system is designed around a 3x3 grid of infrared (IR) LEDs and receivers that detect patterns drawn by the user with a finger or stylus. Each grid coordinate is mapped to a specific action, such as turning lights on or off or adjusting the speed of a fan. The detected patterns are transmitted to a NodeMCU ESP8266 microcontroller, which decodes the patterns and activates the corresponding appliance through Wi-Fi commands and relays. The innovative aspects of this system include its simple and intuitive interaction method, allowing users to define custom patterns for various actions, which enhances personalized control. The pattern-based interaction is particularly beneficial for individuals with limited dexterity or mobility, offering an accessible alternative to traditional remote controls. This project demonstrates the potential of combining hardware components, such as IR LEDs and receivers, with embedded C programming to create a user-friendly and efficient home automation solution. The proposed system not only simplifies the user experience but also provides a flexible and customizable interface for controlling domestic appliances.

Design and Construction Of A River Water Level Monitoring System Based On IOT (Internet Of Things)

The prolonged rainy season due to extreme weather changes that occur in various regions in Indonesia means that people must be more alert to flood disasters. Many losses occurred due to flood disasters. Therefore, an effort is needed to minimize these losses, namely by creating a river level monitoring system based on IoT (Internet of Things). This river water level detection system uses an ultrasonic sensor (water level sensor), NodeMCU ESP8266 to read data and send it via the telegram application and a buzzer which functions to make a sound when the sensor detects water and the potential for flooding. The system will work automatically when water touches the sensor and sends flood detection status information via the telegram application. This system can be implemented in flood-prone areas. With this monitoring system, river water levels can be monitored and the risk of flooding can be reduced.

Long-distance hand tractor controlled by android system in Wetland Field

Modernization of agricultural practices is essential to overcome challenges such as decreasing agricultural labor and decreasing agricultural land in Indonesia. This research examines the development and performance of a hand tractor that is controlled remotely via an Android-based system using the NodeMCU ESP8266 module and a WiFi network. This study focuses on the technical and operational performance of hand tractors in wetlands. Modifications were made to the tractor, by installing three DC motors to control the clutch and gas levers. Tests were carried out on the control system accuracy and response time to assess the system's suitability for field operations. The research results show that the Android system has 100% accuracy in executing all commands given, but the response time decreases as the distance between the Android device and the WiFi module increases, with an average delay reaching 6,8 seconds for a maximum 100 m distance. Field efficiency testing shows that a tractor with Android control has a work efficiency of 70.48% in the plowing process and 75.33% in the harrowing process, lower than with manual control which reaches an efficiency of more than 95%. Despite response delays and reduced efficiency, the system is an important step toward agricultural mechanization, especially in labor-intensive wetlands.

Smart Irrigation System using IOT

The majority of nations rely heavily on agriculture to power their economies. A nation's growth is mostly dependent on agriculture, notably for people's livelihood and the production of food and other raw resources. The rise of agriculture is the main driver of a nation's economy. One type of irrigation system that is frequently utilized in the agricultural industry is the smart irrigation system. In areas of farming where water is scarce, irrigation is used. This intelligent irrigation system is designed with farmers in mind. In this paper, the proposed smart irrigation system uses NodeMCU ESP8266. This system reads the values using sensors and waters the plants based on those values. Also, the system will send notification as well as email to the owner for a certain interval of time depending on the owner specification. The owner can also remotely monitor values by using the mobile application or web application. It is very easy to implement, and will save manpower, leading to a cost-effective solution for efficient water management in agriculture. This system harnesses the power of a microcontroller to monitor and control irrigation process, ensuring optimal water usage.

Penerapan Internet of Things Pada Kandang Jangkrik Berbasis Arduino Uno R3

The development and advancement of technology today are becoming increasingly complex,with one of the significant advancements being the Internet of Things (IoT) technology. IoT hasbeen implemented in various sectors, particularly in the livestock sector. However, there are stillissues where cricket farmers continue to use conventional methods in the breeding process,resulting in suboptimal processes and leading to the death of their livestock. The aim of thisresearch is to develop a system that applies IoT technology to assist cricket farmers in managingthe breeding process within cricket enclosures. These farmers face challenges in feeding theircrickets and controlling the temperature and humidity within the enclosures.The research methodis carried out by collecting needs, designing a system in the form of a system design, andimplementing the system. The system uses Arduino uno R3 as a control center, RTC DS3231 as atimer for feed using a servo motor, DHT11 to detect temperature and humidity in the cage whichwill activate the fan and heating lamp as a solution. The system uses the NodeMCU ESP8266 wifimodule which is connected to the Blynk application to monitor temperature and humidity in thecage. With this system, it helps make it easier for cricket farmers in the cultivation process.

IoT-Based Connected Environmental Monitoring System Using NodeMCU

The Connected Environmental Monitoring System leverages the NodeMCU ESP8266 microcontroller in conjunction with various sensors, including the MQ-135, DHT22, BMP280, and a sound sensor, to enable real-time monitoring of critical environmental parameters. This project aims to provide comprehensive insights into air quality, temperature, humidity, atmospheric pressure, and noise levels, fostering awareness and informed decision-making regarding environmental conditions. Data collected by the sensors is transmitted wirelessly to the ThingSpeak cloud platform, where it is stored and visualized through user-friendly dashboards. The system also incorporates alert mechanisms to notify users when specific parameters exceed predefined thresholds, facilitating timely interventions. The modular architecture of the system allows for scalability and flexibility, making it adaptable for various applications, including urban management and smart city initiatives. Overall, this project demonstrates the efficacy of IoT solutions in addressing environmental monitoring challenges, contributing to the development of sustainable practices and enhanced community well-being.

Implementation Of IoT-Based Sense Plug Design On The Prototype Of The FTTH Network Of The UPI Campus Transmission Laboratory In Purwakarta

The increasing demand for energy presents challenges in efficient energy management. This study aims to develop and implement an Internet of Things (IoT)-based energy monitoring system called SENSE Plug, integrated with a Fiber To The Home (FTTH) network at the Universitas Pendidikan Indonesia campus laboratory. The system is designed to monitor real-time electricity consumption, detect voltage anomalies, and manage the electrical usage of connected electronic devices. The research uses an experimental approach by designing and testing the system in the laboratory. Data was collected using the PZEM-004T sensor connected to the NodeMCU ESP8266 microcontroller, with the measurements displayed on an OLED screen and sent to the IoT Cloud for remote monitoring. The system was tested on various electronic devices to measure voltage, current, active power, and power factor. The results indicate that the SENSE Plug system achieved high accuracy, with an average error of 0.44% for voltage and 0.41% for current. The system can also detect voltage anomalies and automatically disconnect the power supply to prevent damage to devices. In conclusion, SENSE Plug contributes to improving energy efficiency and offers a solution applicable to smart labs and other building environments

Design of Gas Leakage Monitoring System Based on Android Application and NodeMCU ESP8266

Gas leakage is a serious problem that can threaten public safety and health and cause significant material losses. This research aims to design and implement a gas leak monitoring system that can be accessed remotely based on Android applications and NodeMCU ESP8266. NodeMCU ESP8266 is chosen as the main microcontroller equipped with an MQ-2 gas sensor to detect the presence of hazardous gas. This research incorporates Internet of Things (IoT) technology to allow users to remotely monitor the condition of gas leaks, thereby increasing the level of safety in the use of gas in households or small industries. The hardware design includes the use of an MQ-2 gas sensor that is sensitive to certain gas concentrations, as well as setting up an ESP8266 NodeMCU to transmit detection data to a Firebase server for later access through an Android application. The Android application was developed using Android Studio with a focus on an intuitive user interface to monitor the status of gas leaks in real-time. he research methods used include system design, hardware and software implementation, and thorough system testing by simulating gas leak scenarios to test the reliability and response of the system. The results show that the system can detect gas leaks with high accuracy. It is expected that the system developed in this research can be a practical and effective solution in reducing the risk of accidents caused by gas leaks, as well as making a positive contribution in increasing awareness of the safety of gas use in the community.

Internet-Based Smart Door Design of Things (IOT) with Visitor Access Controller Indoor

In the era of digital technology, the Internet of Things (IoT) has become an innovative solution in various sectors, including in access management and room security. This research aims to design and implement an IoT-based smart door system that is able to control visitor access using NodeMCU ESP8266 and send notifications through the Telegram application. The system uses PIR sensors to detect the presence of visitors and servo motors to operate the door automatically. When the number of visitors reaches the maximum set capacity, the system will automatically close the door and send a warning notification to the Telegram bot and activate the buzzer as a warning sign. Thus, this system not only improves the safety and comfort of visitors, but also helps prevent the spread of diseases by limiting the number of visitors according to a safe capacity. The test results show that this smart door system can function well in controlling visitor access and providing real-time notifications when the room capacity is exceeded. The implementation of this system is expected to be applied in various public places to improve security management and visitor capacity effectively.

Prototype Design IoT Based Air Quality Monitoring Tool for Urban Environment

In rapidly urban environments, air quality has become an important issue that affects public health and the environment. This research aims to design and implement a prototype of an IoT-based air quality monitoring device that can be used to monitor air conditions in urban environments. This prototype uses the DHT11 sensor for measuring temperature and humidity, the MQ135 sensor to detect the concentration of air pollutants such as CO, CO2, ALCOHOL, TOLUENE, NH4, and ACETONE, and an OLED LCD for displaying information. This system uses the NodeMCU ESP8266 as a microcontroller that connects devices to the internet and sends data to the Blynk application platform. The Blynk application serves as a user interface that allows for real-time monitoring of the device through a smartphone. With this system, users can obtain real-time air quality data to protect health and the environment in urban areas. The prototype evaluation shows that this system is effective in monitoring and displaying air quality information, as well as providing easy access to data through the Blynk application.

Design and Build Automatic Fan Control Based Internet of Things

This research aims to create and develop an automatic fan control system based on the Internet of Things (IoT) that can regulate the room temperature well. The NodeMCU ESP8266 serve as a microcontroller for this system. The DHT22 sensor detects temperature, the L298N Driver Motor controls the speed of the 12V DC fan, and the 16x2 LCD displays temperature information in realtime. When the room temperature exceeds the threshold, the fan will automatically turn on and off when the temperature returns to normal. The Blynk app also allows users to monitor and control fans through smartphones. It allows users to manually control the fan and monitor it remotely. The results of the study show that this system works well and improves user comfort by managing the room temperature. The system also offers high flexibility with IoT integration, allowing for further development for wider applications in home automation and energy management.

KENDALI BERBASIS WEB PADA ANOMALI NEUTRAL GROUND RESISTOR (NGR)

A real-time monitoring and control system for Neutral Grounding Resistor (NGR) has been developed utilizing Internet of Things (IoT) technology. The system employs the PZEM-004T sensor for measuring current and voltage, and the NodeMCU ESP8266 for data processing and communication. Measurement data is displayed in real-time on an LCD screen and a website, with early warning alerts provided through a buzzer/alarm if abnormal conditions are detected. This system addresses the limitations of traditional monitoring methods, which are typically visual and periodic, by enabling continuous monitoring. Integration with a circuit breaker adds an additional layer of protection by disconnecting the power supply when necessary. Testing results demonstrate the effectiveness of the device in measuring voltages ranging from 5V to 220V and current, with a reliance on internet connectivity to ensure measurement accuracy. This system offers an efficient and proactive solution for maintaining the safety and reliability of electrical equipment at substations

Optimization of a Smart Greenhouse with a Solar Energy System for Floating Raft Hydroponic Cultivation: Implementation and Performance Evaluation

Abstract The rapid growth of the global population has increased food demand, posing challenges for traditional agriculture due to limited natural resources. Hydroponic systems offer a sustainable solution by optimizing the growing environment. This study evaluates the performance of a floating-raft hydroponic smart greenhouse powered by solar energy. The system integrates advanced technologies and renewable energy sources, including three 120 Wp and 130 Wp solar panels arranged in a series-parallel configuration, a solar charge controller, two parallel 12V 65Ah and 12V 200Ah batteries, a microcontroller, DHT22 sensors, and actuators such as LED lights and a mist-type DC pump sprayer. These components effectively regulate humidity, temperature, lighting, and spraying, with data transmission to the Antares platform via a monitoring system utilizing NodeMCU ESP8266. The greenhouse maintained optimal environmental conditions, reducing the temperature from 38°C to 32°C within 30 minutes. The system’s daily electrical load was 1006.36 Wh, leaving an energy reserve of 68.35%. The plants cultivated in the greenhouse responded favorably to the system. This study highlights the potential of combining renewable energy with smart agricultural technologies to address the limitations of traditional farming practices and enhance sustainability.

Smart Sensors and NodeMCU ESP8266-Based Automated Irrigation System for Effective Water Management in Agriculture

In India, agriculture is the biggest and most essential sector. The Global Internet of Things (IoT) is a vital aspect of smart farming. Internet of Things (IoT) is the interconnection of many devices over the internet. All devices are interconnected via unique identifiers, enabling data transfer without requiring interaction between humans. A sufficient amount of water is given to the crop in agriculture at a specific time through irrigation. The primary objective of this paper is develop a controlled watering system that uses smart sensors and NodeMCU ESP8266 to improve water efficiency in plants, integrated with things of speak platform. By integrating soil moisture sensors, the system ensures that irrigation is given only when the soil penetrates a predefined dryness threshold by continuously monitoring the moisture levels in the soil. By using an optimized method, water waste is reduced and plants are given the proper amount of water for healthy growth. DHT11 sensor also monitor humidity and temperature, which enables the system to modify watering schedules in response to current meteorological conditions. These environmental elements can be implemented in the system to help it adjust to changing conditions and increase overall water efficiency. Rain sensors are used to detect rainwater. When rainwater occurs, irrigation is automatically stopped to avoid overwatering and significantly preserve water resources. The central processing unit (CPU) is the NodeMCU ESP8266 microcontroller, which extracts data collected by the sensors and regulates of irrigation system in reaction to the real-time data. This automated approach improves the accuracy of irrigation techniques while also decreasing the need for human intervention, which saves time and labour

Monitoring and Information System for Automatic Clothes Drying Based on the Internet of Things

This research develops an Internet of Things (IoT)-based automatic clothes drying monitoring and information system to overcome the challenges of drying clothes due to uncertain weather changes. The system integrates NodeMCU ESP8266 as the main controller with various sensors such as rain, light, temperature, and humidity sensors to detect environmental conditions. The servo motor is used as a driving force to move the clothesline. The smartphone-based user interface was developed using the MIT App Inventor to enable remote monitoring and control. The test results showed that the system successfully detected weather changes and responded automatically, providing real-time information to users. Implementing IoT technology in this system allows for more efficient and practical management of clotheslines, overcoming the limitations of conventional drying methods.