Blynk Server Research Articles

Design and Implementation of Wind Speed-Based Radar Antenna Safety System Prototype

Air defense radar is a system that detects the presence of one or more air objects at a certain distance, altitude, and direction. One type of air defense radar used by the Indonesian National Armed Forces (TNI) is the Thomson TRS 2215D. An essential part of the radar is the rotating part of the radar antenna support called the antenna pivot. The rotation of the radar antenna must constantly be monitored and controlled for rotational stability at a speed of 6 Rotations per Minute (RPM) with a maximum wind speed of 120 km/h to prevent damage to the driving gear. Stormy weather with high wind speeds can cause the rotation speed of the radar antenna to be uncontrollable, which can cause damage. The solution offered in this study is to build a safety system that will lock the radar antenna automatically when the wind speed is detected to exceed tolerances and maintain the security of the radar antenna and its support system. The safety system was designed using an ESP32 Wi-Fi device equipped with an anemometer wind speed sensor, a Liquid Crystal Display (LCD) monitor, a Direct Current (DC) motor, and a Blynk Internet of Things (IoT) application. The test was conducted in a simulation using a multi-meter and oscilloscope measuring instrument. Testing the radar antenna's safety system prototype on a laboratory scale shows that the safety system can work as designed. The system can lock the radar antenna when the airflow is set at a speed of 54 km/h or 15 m/s, communication with the Blynk server works well, and the ESP32 device can transmit data at a maximum distance of 14 meters.

Bus Monitoring System Based on Internet of Things

Bus Monitoring System based on Internet of Things is a system that monitors bus movement and the distance along its route to reach allocated stop area. Tracking system includes installing a digital device in the bus, and Blynk application on a smartphone to allow the user to monitor the bus real-time location. The project is a GPS tracking implementation based on Internet of Things. The real-time data will be sent to server and it will update the bus location periodically. The Blynk application will indicate where the vehicles are on their smartphone by using the Blynk application which is to provide the updated data to user at anywhere as long as both user and the bus have an internet connection. The Blynk server will track the position and store its information in the database. It is a real-time system as this technique transfers the data on the tracking system to the smartphone automatically. Users can use the application to get flexible in scheduling travel and decide when to board the bus. NodeMCU with built in ESP8266 microcontroller and ArduinoIDE is used for both hardware and software module programming. Both of it is linked to the Blynk server and follows through the Blynk application that need to be installed in the smartphone. The user's waiting period can be minimized. This application can be used for main monitoring program to maintain tracking of all Pagoh campus buses. The effective route management can be performed effectively through the Bus Monitoring System.

Design of Temperature Monitoring and Control System in Smart Hen Coop Based on Internet of Things

Every temperature error detected by the system would be notified to users by the Blynk application, and the system would attempt to stabilize the temperature in hen coop with a lamp and fan. Notification from the Blynk application is set to stop until the temperature returns to an ideal. The Blynk application is equipped with a reset button to reset the chicken age counter. This system used temperature and humidity sensors DHT22 to sense the temperature, which the data from the sensor output read by Arduino Uno. The data that Arduino Uno reads is sent to NodeMCU. Afterward, NodeMCU sent the data to the Blynk server; therefore, the Blynk application displayed the temperature and humidity data on the Blynk dashboard. This system is expected to facilitate users/breeders in monitoring the temperature in the hen coop. Therefore, users/breeders do not need to worry about chickens dying due to heat or cold stress. The waterfall method is used in this design of the system. This system was tested in a 70 x 70 x 130 cm sized hen coop and entirely tested the system each minute for 35 minutes.

Onboard Surveillance Camera Robotic Vehicle

Abstract: Surveillance cameras have been integrated with autonomous vehicles for various purposes like monitoring, guarding and spying. This research paper focuses on how to design, implement, deploy and evaluate a robotic vehicle with a surveillance camera system. This study is on both hardware and software architecture, choice of camera, image processing techniques as wellas communication protocol with other devices. Therefore, the suggested system aims at improving surveillance in addition with the number of sensors which can prevent any accident and can increase remote monitoring. The blynk server is used for the transmission of the data of various servers used in the system. Telegram bot is used to perform a two way communication with the system.

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.

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.

EFFICIENT PLANT GAS LEAKAGE DETECTION AND MONITORING SYSTEM BASED ON IOT INTEGRATION

In industrial areas, fire breakouts often stem from gas leaks within the surrounding environment. These leaks could be caused by faulty apparatus, inadequate maintenance, or human mistake either during handling or storage of flammable gases. The presence of combustible gases poses a significant risk, as they can ignite easily and escalate into large-scale fires, endangering both personnel and property within the industrial site. This research employs a compact detection device capable of identifying combustible gases like propane, LPG Gas, Carbon Monoxide, butane, and other hazardous gases. The device is designed to identify these gases quickly and accurately, aiding in ensuring safety in various environments such as industrial sites, homes, and workplaces. The leakage detector includes NODEMCU, gas sensors, buzzer, and LCD system. When harmful gases surpass acceptable thresholds, the micro-controller initiates a alerting SMS using Blynk server. The prototype emits a sound alert and illuminates LCDs to indicate the leaking gas. Gas concentration datais sent to Thinkspeak server for easy monitoring by plant personnel.

Automated energy meter

In recent years, the Smart Energy Meter has attracted a lot of attention from all over the world. In this paper a design and prototyping a low-cost IoT energy monitoring is presented, which may be utilized in a variety of applications such as power billing, smart grid energy management, and home automation. The system is based on a low-cost ESP32 microcontroller that is interfaced non-invasive Current Sensors, and Voltage Sensor to get data from sensor nodes and deliver it to a Blynk server over the internet. The studies' findings showed that the system for monitoring energy consumption can precisely record voltage, current, active power, and cumulative power consumption. According to the market requirements of Electric Meters. Nowadays, the system will use ZigBee and GSM systems for communication protocol. The ZigBee is used since the application does not need a high-speed data rate, need to be low powered and low-cost. Presenting the remote wireless Electric Meter Reading System, aims at resolving the shortcomings of the technology of the traditional Electric Meter Reading, combining the characteristics of the ZigBee technology and IEEE802.15.4 standard. Electricity is one of the fundamental necessities of human beings, which is commonly used for domestic, industrial, and agricultural purposes. Power theft is the biggest problem in recent days which causes a lot of loss to electricity boards. In countries like India, these situations are more often. If we can prevent these thefts, we can save a lot of power. This is done using Automated Energy Meter (AEM). AEM is an electronic device with having energy meter for measuring the electric energy consumed and a wireless protocol for data communication

IoT-based smarthomes to increase home selling price

Smarthome is a system that has been programmed and can work with the help of a microcontroller to integrate and control a device or home appliance automatically and efficiently. The purpose of creating this technology is to facilitate energy savings, get comfort and be able to control it only with a smartphone. In the research entitled "IoT based Smart Home Automation System using Sensor Node". This stage of development will use several microcontrollers as sensor nodes. Microcontroller nodes will control such as lights, doors, fans. In this study, it used several types of sensors such as RFID, reed switch, temperature and microcontrollers that will be used by the ESP8266 MCU Node. All data from sensor readings will be sent to the Blynk server. As a data viewer and control center will use the Blynk application. This can also increase the selling price of the house to be sold by the developer.

IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning

Child care is necessary for parents, but nowadays taking care of a child has become a lot more challenging, especially for working mothers. It has become increasingly difficult for parents to continuously monitor their baby’s condition. Thus, a smart baby monitoring system based on IoT and machine learning is implemented to overcome the monitoring issues and provide intimation to parents in real-time. In the proposed system, the necessary monitoring features like room temperature and humidity, cry detection, and face detection were monitored by exploiting different sensors. The sensor data is transferred to the Blynk server via controllers with an Internet connection. The system is also capable of detecting the facial emotions of the registered babies by using a machine learning model. Parents can monitor the live activities and emotions of their child through the external web camera and can swing the baby cradle remotely upon cry detection using their mobile application. They can also check the real-time room temperature and humidity level. In case an abnormal action is detected, a notification is sent to the parent’s mobile application to take action thus, making the baby monitoring system a relief for all working parents to manage their time efficiently while taking care of their babies simultaneously.

Transformation to a smart factory using NodeMCU with Blynk platform

Incorporating internet of things (IoT) in industrial systems prompted the development of industrial internet of things (IIoT) systems, which in turn enable the automation of intelligent devices to gather, analyze, and transmit data from industrial systems in real-time. This paper develops a low-cost and smart industrial remote monitoring and control system based on NodeMCU microcontrollers and Blynk server platform. It is deployed to remotely monitor manufacturer's environment and industrial equipment and control them autonomously. Also, it protects the manufacturer's employees from fire catastrophe by warning them using a buzzer and notification. The system comprises two main parts, sensing and actuation. The sensing part consists of three subsystems that measure temperature and humidity, water flow, and flame. The actuation part consists of a water pump, light, and fan. A powerful user interface is developed based on the Blynk platform. The proposed system controls the water pump by sensing water flow autonomously. In addition, based on a fire detected, a protection system is implemented to shut down the electricity from load in case of fire event occurs. Several testing scenarios were carried on to check the response of the system, and the result shows successful implementation of the proposal to handle different situations.

Optimasi Penggunaan Data Logger Pada Internal Kendaraan Berbasis IOT

Abstract―Vehicles are a secondary need for humans that can be postponed. However, Indonesia has a tropical climate, so everyone needs a vehicle as a means of transportation, therefore every year vehicles increase rapidly as the population increases. Indonesia is currently a fairly large vehicle sales market. So with the increasing number of road vehicles getting out of control, the result is congested roads, as a result of which traffic violations and accidents are increasing every year. Therefore, by making an optimization tool for using data loggers on two-wheeled vehicles, we intend to monitor every vehicle on the road. However, this research focuses on output data such as accuracy and delay of real time IoT-based vehicle data and data loggers that are stored automatically on SD memory cards in two-wheeled vehicles. The research results from the Infrared sensor data sent to the Blynk server, there is a fairly long delay and the data stored on the SD memory card is quite good, only has a delay per one second, the voltage sensor here plays a good role in real time data and data on the SD memory card because there is no delay the old ones are in sync with actual events, while the realtime control panel output results to the Blynk server using the NodeMCU ESP8266 produce realtime output, and the use of relays as controllers of the tools that have been made has been tested and obtained satisfactory results.

Blynk 2.0 based Smart Electricity Monitoring Meter

Abstract: Electricity is one of the basic needs of this society. Currently we have to go nearby the conventional meter and note the electricity consumption which is a tedious task when bill payer is in distant place. Thus, to automate this process IOT takes place which can save time by automating remote data collection. This paper gives the development of a cost-effective NodeMcu based smart electricity which includes the Internet of Things (IoT) technology. The NodeMcu board is employed element to coordinate the activities of the device and a Blynk server acting as a central server receiving all the data sent by the created system. Other components like AC voltage sensor (ZMPT101B), AC current sensor (SCT-013-030), LCD display which helps the user to read the values instantly from system and other RLC elements are used to measure the required quantities. Also, this paper has open source IOT server called Blynk 2.0 which is an analytic platform which can access the cloud and enables the user to live monitor the status of the meter using both Website and application.

The Application of Energy Management Systems Using the Internet of Things to Improve the Efficiency of Electrical Energy Usage in the MSMEs Sector

Monitoring the electrical energy of the MSME sector is necessary because the current use of electricity is less effective and consumes more electrical power. The use of electrical power can only be seen through the kWh meter measuring instrument and only shows the cumulative amount of electrical energy used. The analog panel design constraint only displays aggregate consumption data, not real-time. This study aims to develop an energy management system through Internet of Things communication for monitoring and controlling electrical devices in MSME sector buildings. Designer of a real-time measurement system that can read the parameters of the amount of electricity consumed so that MSME users can monitor the use of electricity consumption quickly and accurately via the internet and become a solution for more efficient monitoring work. The monitoring system is designed for load groups in buildings by using the ESP32 NodeMCU as a data processor for data received from the PZEM-004T sensor and sent directly to the Blynk server so that the data can be monitored and controlled on the Blynk interface via a smartphone. The data displayed on the Blynk application is in the form of voltage (volts), current (amperes), power (watts), electrical energy (kWh), and electricity usage rates in rupiah in real-time. The results of the study obtained show that the proposed method can read the energy consumption data of the electrical load used with an error value of 0.54% in voltage measurement and an error value of 2.93% in current measurement and has a delay in sending data to the monitoring application of an average of 3 seconds. The proposed draft Energy Management System can improve electricity efficiency if applied to solve the problem of electrical energy consumed in MSME sector buildings.

Smart Energy Meter using IOT

The wireless monitoring system of energy meter using Blynk application via smart phone. In addition, the over consumption of energy notification as an optional Features embedded in this system. Due to the advance recent technology in tandem with the Internet of Things (IoT) can be also applied in advance as an application of Artificial Intelligence (AI)into a manual device, transitional to an automated device such as smart meter that helps the smart cities to have an efficient energy management system as an ewconcept. This system used ESP32 as a micro- controller board with WiFi module to provide IoT communication with IoT platform such as Blynk application. The prototype designed intends to monitor daily energy consumption in the smart phone application interfaced with Blynk server and also provide awareness to save electricity through notification using Blynk features by the smart phone application. We need to select the current sensor as well as the voltage sensor so that the current & voltage can be measured and thus, we can know about the power consumption & total power consumed.

Electrical Energy Monitoring and Control System In Boarding Rooms Based On The Internet of Things

Electrical energy is an essential requirement in various activities today. Almost all electronic devices that are used require electrical energy to operate. Therefore, the public needs to know how much electrical energy is used to maintain the quality of electronic devices. Electrical energy monitoring is a process of monitoring and a source of information on electrical energy that can be viewed directly or remotely with real-time output results. Electrical energy monitoring is designed as a routine process of collecting or measuring information source data that determines the level of electricity consumption achievement in real-time. By using real-time information technology, the operating conditions of the hardware system and programs have clear timeframes. Based on this background, the authors want to conduct research designed to monitor and obtain sources of information on the results of the use of electrical energy in boarding rooms, of course this monitoring tool is based on microcontrollers and the Internet of Things (IoT), with the creation of this monitoring of electrical energy, with all parameters electricity such as voltage, current, electric power, electrical energy, and power factor used can be measured using the PZEM-004T sensor. Monitoring electrical energy using the NodeMCU platform as an input and output processor will then be displayed on the control panel display and internet of things (IoT) based Blynk server. From these problems, the authors are interested in conducting research that aims to monitor and obtain sources of information on the use of electrical energy in boarding rooms. This monitoring tool is based on a microcontroller. In addition, this monitoring tool is also based on IoT so that power consumption can be monitored directly and remotely with real-time output results. From the results of the measurement test using the PZEM-004T sensor, it was obtained that the difference in the value of the deviation that occurred was relatively small for voltage 0.538%, current 0.007%, electric power 0.383%, electrical energy 0.005% and power factor 0.039%, it was concluded that the PZEM-004T sensor could be used to further observations. At the same time, the real-time control panel output results to the Blynk server using the NodeMCU ESP8266 produce real-time work, as well as the use of relays as controllers of the tools that have been made, have been tested and obtained satisfactory results.

SISTEM MONITORING NILAI PARAMETER PADA POWER METER DM6200 BERBASIS INTERNET OF THINGS (IoT) SECARA REALTIME

Power Meter really supports the measurement of the electrical value of an electrical installation. The location of the Power Meter is usually installed on the main panel of a building that has 3 phase electricity. In this Power Meter has many electrical values that can be taken such as voltage, current, power factor, percentage etc. The parameter value is displayed on the Power Meter screen to see it, you need to look for the value it is located by looking at the guide in the Manual Book. In addition to these problems, data retrieval must go to the place where the Power Meter is installed, namely on the main electricity panel, from this problem the researcher makes a solution in the form of a parameter monitoring system that is displayed on the Internet of Things (IoT)-based Power Meter in Realtime. The results of this study are a monitoring tool and system, this tool has 3 main features, namely monitoring the Voltage, Current, and Power Meter parameters, sending the displayed value from the Power Meter through RS485 to TTL and programmed using the ESP32 platform then sent back to the Blynk server and will accessed with the Blynk app. The data sent can be viewed in real time via a smartphone. Of the 3 parameter values can be monitored directly with the Blynk application.

The IoT for Visualization of RC Circuits Transient Phenomena

The development of a device for visualizing the transient phenomena of RC circuits on smartphones has been carried out, utilizing the IoT platform of NodeMCU as a solution to restrictions on attendance in laboratory during COVID-19 pandemic. The quantity displayed is the voltage and electric current during charging or discharging capacitor. NodeMCU is coupled with a CD4066 to switch the process, and a 74HC4051 multiplexer to select the voltage or current value of capacitor. At the end there is an RC circuit connected to the switch and the multiplexer and also a voltage source. User commands are sent from the smartphone to the NodeMCU via the Blynk server. The software consists of a program uploaded in NodeMCU and a Blynk graphic interface arranged on smartphone. The system can work quite well, including controlling the charging and discharging capacitor. The visual appearance of voltage and current on smartphone screen quite similar with those of theory.

Plastic Waste Management System Using Metal Shredder for Clean Environment

With the high rise in population and a huge level of unwanted materials, conventional methods of waste disposal are becoming outdated as it involves more manual scavenging work and unwanted human potential. In order to overcome the above manual issues, there is a need to design a machine that can clear the litter and leftover wastes without much involvement of human indulgence. To overcome the above issues, the smart garbage collector was designed and implemented. It consists of a vacuum machine that sucks out leftover trash on the ground. Then, it is lifted to a certain height by servo motors to drop it into the shredding area. The shredder then cuts the waste into very tiny pieces. Then, the waste pieces are transferred to the storage box. This box is placed at an inclined angle to support the disposal of waste without human intervention. The box opening and closing actions are controlled by a servo motor that is placed outside the box and the slide opens vertically to avoid any unwanted residual waste in the storage box. The storage box consists of an ultrasonic sensor to notify the level of waste accumulated inside the box, and when the maximum threshold value is attained, the proposed machine has to dispose of the crushed waste. All the actions of the controller are monitored by a private server hosted on the Blynk platform that can be accessed only by the user. The server can be controlled through a mobile interface that acts as a remote control for the proposed machine. The Local Server is set up using Raspberrypi which enables ease of access to the Blynk server hosted in our home router IP.

Smart Home Automation using Augmented Reality and Internet of Things

This paper demonstrates the concept of Augmented Reality and the Internet of Things controlling home appliances through the internet. Nowadays, Home Automation using IoT became an integral part but it can be extended to Augmented Reality. Augmented Reality is used to superimpose interactive content into real-world objects. It helps in placing the 3D objects that help in controlling different IoT devices. The main objective of this paper is to demonstrate and analyse the control of home appliances using augmented reality with the internet of things by a Wi-Fi-based microcontroller. This paper also demonstrates its approach toward multiple devices and proves that augmented reality and IoT are complementary to each other that visual interactive objects can control IoT devices. Performance measures like transmission time, RSSI were taken which plays a major role in terms of Internet of Things. The Transmission time determines the time taken by the Wi-Fi of Esp32 to connect to the blynk server. The Comparative analysis for the Transmission ON time and Transmission OFF time at different ranges is measured. The Transmission ON time is of maximum of 2.36 seconds at a distance of 5m and of 2.65 seconds at a distance of 10m without any hindrance. The Transmission time with a wall hindrance is increases than without the wall hindrance. The Transmission ON time is of 2.9 seconds and the Transmission OFF time is of 2.8 seconds. The Received Signal Strength Indicator indicates the strength of the wifi network is also measured and it indicates the network is good. The Measured value is between -23 dbm to -25 dbm which indicates a better network performance.