Blynk App Research Articles

Design and Build Running Text Controls Using IoT

This research designs and builds an Internet of Things (IoT)-based running text control system using the P10 display module which can be controlled through the Blynk application and displays the temperature in real-time using the DHT22 sensor. The system consists of hardware such as a microcontroller, Wi-Fi module, P10 LED display, and DHT22 sensor to measure temperature and humidity. The Blynk app is used as a user interface to control the messages displayed on the P10 module and monitor the temperature data in real-time. Software development is carried out to integrate the hardware with the Blynk application and enable efficient data transmission. The test results show that this system is able to accurately display text messages and temperature data with low latency. These systems can be applied in a variety of scenarios such as public information systems, environmental surveillance, and dynamic advertising applications.

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.

RANCANG BANGUN ALAT PEMOTONG DAUN BAWANG BERBASIS INTERNET OF THINGS (IOT)

The utilization of Internet of Things (IoT) technology in the agriculture sector continues to evolve, including in the automation of agricultural processing tools. This research aims to design and develop an IoT-based scallion cutting tool integrated with the Blynk application, which functions to control and manage the device in real-time. This tool is equipped with key components such as a cutting motor, sensors, and a microcontroller, all controlled via the IoT network. The Blynk application allows users to adjust cutting parameters, such as motor speed, and receive information about the tool's status. Testing has shown that this tool can operate automatically according to settings provided through the Blynk app, producing consistent scallion cuts that meet the requirements. The implementation of this technology is expected to enhance efficiency, reduce manual labor and time, and improve the productivity and quality of scallion cutting. With the integration of IoT and the Blynk application, this scallion cutting tool offers an innovative solution to support the modernization of the agricultural industry, particularly in scallion processin.

Electrical Devices Control System Using Google Assistant

This paper designed to develop an electrical devices control system using Google Assistant which can control the electrical on/off operations with voice via smartphone to increase the comfort, modernity, and safety from electric shock in the case touching switch on/off buttons directly. The design used the speaker Google home mini as the voice command in English from the smartphone via Google Assistant and direct voice commands; The commands were created on the IFTTT web, the NodeMCU ESP8266 board used to connect between hardware and software, as well as the processing and sending logic commands to change the relay status to control the electric devices and also use the Tuya S08 remote transceiver to control the operation of the air conditioner via Google Assistant. The results of the design and experiments showed that the system can control the electrical equipment as according to the goals and objectives set, including lights, fan, and air conditioner. Blynk APP and Google assistant can control the turn on/off the device at anywhere and anytime. in terms of system mobile must be connected to the Internet. For control with the Google home mini speaker only (without a smartphone) can be controlled at a distance of 10 meters and (also dependenting on the level of the sound that we order. In addition, in the case of air conditioning control, the Tuya S08 transmitter can be placed up to 8 meters away from the air conditioner to be controlled. The results showed that designed systems are more likely to be applied to provide comfort, safety and enable people who are unable to help themselves to walk around to turn on/off electrical devices such as the elderly or disabled person.

IoT based Smart Home Energy Tracker and Saver

The knowledge about the amount of energy used every month or day at home is the initial step to reduce the energy usage. So, the proposed research focusses on developing a smart energy management system using the IoT to track the daily electricity usage and enhance the energy efficiency at home. The system employs network of sensors placed throughout the home to monitor energy usage in real-time. The information gathered is transmitted to the Blynk Cloud and visualized through the Blynk app. The chart displayed in the Blynk app enables the user to identify the excessive energy usage and reduce both consumption and the electricity bills. By integrating IoT technology and user-friendly control interfaces, this research aims to provide homeowners with actionable insights to minimize energy waste, reduce utility bills, and contribute to environmental conservation.

Internet of things-based rice field irrigation evaporation monitoring system

The urgency for efficient irrigation in Indonesia’s agriculture sector, particularly in paddy fields, is evident. However, existing methods for monitoring water levels are antiquated, often requiring manual measurements with a ruler. This research introduces a comprehensive “monitoring system for light intensity and water temperature as an analysis of evaporation for rice irrigation based on the internet of things”. The system integrates various sensors an anemometer for wind speed, an ultrasonic sensor for water level, a DS18B20 waterproof sensor for water temperature, and a GY-8511 sensor for sunlight intensity. All data are collected by an Arduino Mega controller, connected to an ESP32 for transmitting the readings to the Blynk app and an I2C 20×4 liquid crystal display (LCD) screen. The control mechanism employs a closed-loop system with a direct current (DC) motor actuator to operate the water gate, which can also be manually controlled via a cellphone. The system effectively meets daily evapotranspiration requirements of 1.44 mm, with optimal conditions yielding water levels of 3 cm, water temperatures of 38.53 °C, sunlight intensity of 4.59 mW/cm², and wind speed of 0.21 m/s.

A new multi-function smart electricity measurement device

Algeria's national gas and power provider is called Sonelgaz. It is in charge of producing, distributing, and transmitting power throughout the nation. Sonelgaz has encountered several difficulties in effectively supplying electricity to consumers and keeping track of their usage over the years. One of the primary problems is that client consumption is not accurately metered. Algeria has a large number of old power meters that don't give precise readings of the real electrical usage. Customers receive inaccurate bills as a result of this. It also makes it more challenging for Sonelgaz to monitor usage trends and detect power thieves. Poor metering infrastructure has led to disputes between Sonelgaz and customers over excess bills. In recent years, the idea of a smart power meter has become increasingly popular all around the world. Traditionally, readings must be taken in the meter reading room. As a result, tracking and keeping tabs on your electricity usage is a time-consuming and annoying chore. Furthermore, a lot of us worry about our large electricity bills at the end of the month, therefore, we have to periodically check the energy meter. However, what if we could track how much electricity we consume from anywhere in the world? In this paper, we will develop a new multi-function smart electricity measurement device using an ESP32 microcontroller and the mobile Blynk app. The smart electricity measurement device displays the voltage, current, power factor, and power consumption in real time. In addition, it displays the cost of electricity in dollars and the total energy consumed in kWh, saving you both time and money. The consumer's electricity will be remotely off if the bills are not paid.

IoT Based Irrigation and Fertigation System for Smart Smallholder Farming Application

Integrating Internet of Things (IoT) technology with irrigation and fertigation systems has transformed traditional farming methods by enabling reliable monitoring and control of critical environmental parameters. This project aims to design an automated irrigation and fertigation system as a prototype to reduce water wastage and monitor the pH level in the soil, temperature, soil dryness and detection of intruders. Sensors strategically placed throughout the system monitor and control these elements. This system has several important features, including the ability to automatically control water pumps to maintain proper hydration levels, detect intruders within a range of one to six meters of the plant by using the Blynk app, and monitor pH levels through the same app to ensure appropriate neutral levels. Automation and control features are also assessed to confirm that sensors, pumps, and other components precisely respond in line with predetermined requirements. This evaluation helps to determine the overall health of the farmed plants as well as the effectiveness of the system. Finally, the irrigation and fertilizing system for the targeted smallholder farming area has been developed. The resulting smart irrigation and fertigation system is not only a practical solution but also an effective alternative to modern agricultural methods.

AgroSense: An IoT-Based Manual Crops Selection Farming

This capstone project introduces an Intelligent Irri-gation System leveraging IoT technology to enhance agriculture. Using the ESP32 microcontroller and various sensors for soil moisture, water levels, and environmental conditions, the system automates irrigation based on real-time data. It communicates through the Blynk platform, allowing remote monitoring via a mobile app. The project includes a smart algorithm for crop selection and irrigation control, displayed on an LCD and acces- sible through the Blynk app. By considering soil moisture and water availability, the system adapts to different crops like rice, wheat, potato, and corn. The project promotes sustainability by optimizing water usage and encourages efficient crop growth. The integration of a manual crop count for field feedback enhances decision-making. Overall, this system presents a user-friendly and innovative solution for precision agriculture, showcasing the transformative potential of IoT, data analytics, and machine learning in modernizing farming practices.

IoT revolutionizes orchid cultivation in Indonesia with precision and efficiency

The Orchidaceae family is highly valued in ornamental, perfume, medical, and cosmetic industries, but cultivation often fails due to human error. This research aims to design an IoT-integrated automation system to monitor and control key parameters such as air temperature, humidity, and moss moisture for orchid cultivation. Using the research and development method, we observed plant needs, reviewed relevant literature, designed an effective system, and tested sensor accuracy and system reliability. Results showed the DHT-22 sensor had a minimal error in temperature (0.9%) and humidity (2.1%) readings, and the soil moisture sensor had a 3.65% error. The system maintained optimal conditions, and the Blynk app effectively displayed data. This innovation reduces human error and enhances orchid cultivation efficiency, with potential applications in other sensitive plant systems. Highlight: Error Reduction: IoT system minimizes human error in orchid cultivation. Sensor Accuracy: DHT-22 sensors show minimal temperature (0.9%) and humidity (2.1%) errors. Optimal Conditions: Maintains air humidity 40%-80%RH and moss moisture 50%-80%RH. Keyword: Orchidaceae, IoT automation, sensor accuracy, environmental control, orchid cultivation

Smart Stick Revolutionizes Mobility for the Visually Impaired

Visual impairment significantly hinders daily activities, necessitating innovative solutions. This study develops and tests a smart walking stick using NodeMCU ESP-8266, HCSR-04 ultrasonic sensor, DFPlayer, and GPS, monitored via the Blynk app. Employing a research and development approach, the device demonstrated 100% accuracy in obstacle detection and location tracking, providing real-time feedback through audio notifications and smartphone monitoring. This smart walking stick enhances mobility and safety for visually impaired users, representing a significant advancement in assistive technology. Highlights: Accurate Obstacle Detection: 100% accuracy with HCSR-04 ultrasonic sensor. Real-time Monitoring: GPS tracking via Blynk app. Enhanced Mobility: Increases safety and independence for visually impaired users. Keywords: Visual impairment, Smart walking stick, Ultrasonic sensor, GPS tracking, IoT

Smart System for Monitoring and Controlling Harmful Gases in Avian Farming using IOT

The poultry industry is vital for sustaining global food production, yet it faces challenges concerning environmental sustainability and animal welfare. Among these, management of ammonia (NH3) and carbon dioxide (CO2) gas emissions, temperature, humidity fluctuations, and dust control, are critical considerations. Current methodologies often lack real-time monitoring capabilities and effective mitigation efforts. To address these issues, this research proposes an IoT-based monitoring and control system tailored for poultry farms, focusing on managing and controlling gas emissions, temperature, humidity, dust, and light levels. Employing an ESP32 microcontroller and sensors such as MQ135 for NH3 and CO2 detection, DHT for temperature and humidity, and LDR for light intensity, the system ensures continuous monitoring and adjustment of environmental parameter. It monitors and controls the dust by managing the proper temperature and humidity to reduce the health issues in poultry and as well as regulates light by turning ON/OFF light during dark. The system activates ventilation when the gas exceeds its limit and sends alerts through GSM. By using Wi-Fi connectivity, remote monitoring through a Blynk app is facilitated, while data logging on Thing Speak enables comprehensive analysis. The system aims to control ventilation and prevent dust for better environmental conditions and poultry welfare.

A Mobile App Driven Smart Ball Launch System for Solo Sports Training

Abstract: In today's world, athletes face intense competition in a variety of sports, but there are few opportunities for them to practice or evaluate their performance on their own, making it difficult for them to grow. Thus, a system is proposed in this paper that allows players to conveniently practice alone without requiring human assistance and may also help them in analyzing their skills. The method mostly concentrates on tennis game. The automatic ball launches for practice is the main aim of the system. With the assistance of a Node MCU that can interact over the internet, the system gives the user exact control over when to launch balls, what kind of ball to launch, and how to launch them remotely. Which is possible on mobile devices due to Blynk app interface. Typically, the system offers three different ball launch types: over spin, backspin, and rapid ball launch. It also allows for exact speed control of the motors used to make the ball launch.

ARDUINO AND IOT-BASED OBSERVATION METHOD FOR MONITORING TEMPERATURE, HUMIDITY, AND AIR PRESSURE OF ELECTRON BEAM ACCELERATOR’S ROOM

The monitoring system for temperature, humidity and air pressure in the electron accelerator’s room has been designed. This research is based on operational environmental monitoring procedures in the accelerator room that must be carried out before the accelerator operates. We offer a simple and adaptable monitoring solution for the electron accelerator room. Parameter data can be monitored using a smart device. Operators do not need to go into the accelerator room to carry out environmental monitoring. The proposed system uses Arduino technology and the Internet of Things (IoT). Data acquisition programming was performed using Arduino IDE and ESP8266 NodeMCU as microcontrollers. The microcontroller then transmits temperature, humidity, and pressure data parameters to the cloud server, where they are then displayed on the smart device via the Blynk app. The results show that the system that has been designed is able to read and store parameter readings on the sensors used and the system has been able to make decisions in the form of notifications about whether the Electron Beam Machine is ready or not to be operated.

Wireless Patient Health Monitoring System

Wireless Patient Health Monitoring Systems (WPHMS) have emerged as transformative solutions in modern healthcare, facilitating continuous and remote monitoring of patients' vital signs in real-time. This paper presents a comprehensive exploration of a Wireless Patient Health Monitoring System leveraging the Blynk app, a versatile IoT platform. The system is designed to enable seamless data collection, transmission, and visualization of critical health parameters such as pulse rate, temperature, and blood pressure. By integrating cutting-edge hardware components with intuitive software interfaces, the proposed system offers unprecedented flexibility and accessibility in patient monitoring, transcending the limitations of traditional wired monitoring systems. The research begins with a thorough review of existing literature on wireless healthcare technologies, highlighting the evolution of patient monitoring systems and the role of IoT platforms in revolutionizing healthcare delivery. Building upon this foundation, the paper proceeds to outline the hardware architecture of the WPHMS, detailing the selection and integration of microcontroller boards, sensor modules.

Human Detection for the Betterment of Security System Using PIR Sensor and BLYNK App

Abstract: The Human Detection System (HDS) presented in this project utilizes Passive Infrared (PIR) sensors, Node MCU microcontroller, and the Blynk IoT app to detect human presence in a designated area, providing real-time monitoring and instant alerts. Additionally, an ESP32 module camera is integrated into the system to visually confirm detected events. Upon sensor activation, the ESP32 camera captures footage of the area, allowing users to verify the validity of the alert via a provided link accessible on mobile or laptop devices. This comprehensive approach enhances security measures by combining both sensor-based detection and visual confirmation capabilities, offering an effective solution for surveillance applications.

IoT Based Flood Monitoring and Alerting System

The primary objective of this project is to create a reliable system for ongoing water level monitoring in dams or Wadis, ensuring timely alerts are sent to nearby residents and the Royal Oman Police (ROP) when levels approach hazardous thresholds. Although preventing floods may not always be feasible, implementing an early detection and alert system through continuous monitoring can significantly reduce the impact on communities. This initiative introduces an Internet of Things (IoT)-enabled flood detection and warning system, utilizing a NodeMCU board, an ultrasonic sensor (HC-SR04), temperature and humidity sensors (DHT11), and the Blynk app. The system diligently tracks water levels, transmitting sensor data to the Blynk Server at regular intervals, allowing for global access and oversight. Should water levels exceed predetermined safe limits, an immediate notification is dispatched via email to designated contacts, warning individuals in the vicinity of the dam or Wadi and the ROP of the potential danger.

Empowering Homes with Esp-32

Smartboard system utilizing an ESP32 microcontroller integrated with various sensors and electric sockets. The system aims to enhance safety, convenience, and energy efficiency in residential environments. Initially, an electric switch box was fitted with two sockets, and an ESP32 microcontroller was integrated to control them. The system further includes a smoke sensor for gas leakage detection, water level magnetic sensors for automatic water pump control, a DHT sensor for temperature and humidity monitoring, a display for real-time data visualization, and a Miniature Circuit Breaker (MCB) for protection. Through integration with the Blynk app, users can remotely monitor and control the system, including supplying power to sockets and detecting gas leaks. Additionally, Bluetooth connectivity is incorporated for added convenience, particularly for electric scooter users in complex living environments. Experimental results demonstrate the efficacy of the integrated system in providing remote control, safety monitoring, and automation features. KeyWords: Smartphone-based, Mobile application, an automated system (ESP32), Wifi Network

IOT Based DC Motor Speed and Direction Control

This paper introduces an innovative Internet of Things (IoT) based system designed to control the speed and direction of a DC motor using the Blynk mobile application. The system integrates an OLED display (SSD1306), an ESP8266 microcontroller, a 300 RPM DC motor, and an L293D motor driver. With this system, users can remotely manage the speed and direction of the DC motor through the Blynk app, accessible on smartphones or tablets. Real-time feedback on the motor's speed and direction is provided via the OLED display, enhancing user interaction and experience. The ESP8266 microcontroller acts as the core control unit, interfacing with the Blynk app via Wi-Fi to receive user commands and adjust the motor's operation accordingly. The bidirectional control feature of the L293D motor driver enables precise manipulation of the motor's speed and direction. By leveraging IoT technology and the Blynk app, users gain the flexibility to control the motor from any location with internet connectivity, offering convenience and accessibility. Additionally, the OLED display enhances the user interface, enabling intuitive monitoring and adjustment of motor parameters. In conclusion, this system offers a versatile and user-friendly solution for remotely managing DC motor speed and direction, with potential applications spanning across home automation, robotics, and industrial control systems.

IoT based weather monitoring system for temperature, humidity, rainfall and seismic detection in real time

This paper presents the design and implementation of an IoT-based weather monitoring system enhanced with seismic detection capabilities, employing Node MCU microcontroller and the Blynk mobile application platform. The system incorporates various sensors including a rain sensor, Light light-dependent resistor (LDR), a DHT11 sensor for temperature and humidity measurement, and an accelerometer (MPU6050) for earthquake detection. The hardware components are interconnected with the Node MCU microcontroller, facilitating real-time data acquisition from the sensors. Programming of the Node MCU is conducted using the Arduino IDE, enabling data transmission to the Blynk app via Wi-Fi connectivity. The Blynk app serves as the user interface, allowing seamless visualization and monitoring of weather parameters and seismic activity on smartphones. Key functionalities of the system include periodic data collection from sensors, transmission of sensor data to the Blynk server, and updating of graphical representations in the Blynk app interface. The accelerometer sensor is utilized to detect changes in acceleration, indicative of seismic disturbances. Threshold values are defined to trigger alerts within the Blynk app in the event of potential seismic activity. The implementation undergoes rigorous testing to ensure accuracy, reliability, and responsiveness under diverse environmental conditions. Considerations such as network stability, power efficiency, and data security are addressed to enhance system performance and longevity. The system demonstrates promising capabilities for real-time weather monitoring and seismic event detection, offering valuable insights for disaster preparedness and environmental analysis. IoT-based weather monitoring system integrated with seismic detection provides an effective solution for comprehensive environmental monitoring, leveraging the power of IoT technology and mobile applications for enhanced data accessibility and analysis. Further advancements and optimizations can be explored to extend the functionality and scalability of the system for broader applications in environmental science and disaster management.