NodeMCU Research Articles

Sensor Based Flood & Landslide Pre-Alert System

The proposed system is an advanced early warning system designed to mitigate disasters such as landslides and floods by providing crucial minutes of warning. It consists of a wireless sensor network deployed on the slopes of landslide and flood-prone mountainsides. The network utilizes a Node MCU topology, and for demonstration purposes, a two-node system is suggested. The nodes in this system are equipped with various sensors to gather essential data. They utilize a tipping rain sensor to measure precipitation and an accelerator to detect potential landslides by monitoring module position changes. Additionally, there's a humidity sensor continuously monitoring surface temperature changes. These sensor nodes transmit their data to a central base station, which acts as a receiver. Both the public and the base station are equipped with Node MCU microcontrollers to facilitate communication. The base unit, positioned at a strategic location, such as the district collector's office, utilizes a long-range transmitter to communicate with the master unit. When the sensor nodes detect significant landslide or flood activity within a specific time frame, indicating a potential flash flood, this critical information is transmitted to the master unit. The master unit responds by activating an alarm and promptly sending messages to relevant officials and the general public through Node MCU microcontrollers connected to it. This swift communication allows for timely evacuation and response measures to minimize the impact of the disasters.

RANCANG BANGUN SISTEM KEAMANAN RUMAH MENGGUNAKAN SENSOR PIR (PASSIVE INFRA RED) DENGAN PERINGATAN SUARA DAN NOTIFIKASI TELEGRAM BERBASIS MIKROKONTROLER NODE MCU

Research has been carried out aimed at:(1) to produce a home security system using a PIR (passive infrared) sensor with voice warnings and telegram notifications based on the MCU node microcontroller. (2) to determine the performance of the resulting home security system. The design uses a node mcu microcontroller as the main controller. The design uses a motion sensor (PIR) to detect motion that occurs inside the house. The design uses an internet modem to send telegram notifications to homeowners. The speed of communication between the microcontroller and Telegram depends on the internet network connection. Sending messages via telegram to the mcu node, it is also assumed that electricity and internet are in a stable condition. A home security system using a PIR (passive infrared) sensor with sound warnings and telegram notifications based on the MCU node microcontroller can be generated. Testing of each component (power supply, PIR sensor, MCU node microcontroller, MP3 player module, limit switch sensor and ESP8266) indicates that each part is functioning and working properly. The performance of the resulting home security system is very good. After the system is activated, any movement detected in the living room and/or terrace of the house as well as windows and/or doors that are detected are open, the system will respond by emitting a sound through the speaker in the form of a warning or informing that a house break-in has occurred while sending a chat telegram to the user.

Design and Build an Android Based Gateway Controller using the MQTT Protocol

The gate is the most important component of a building's security system. Although almost all homes have gates, they are still opened and closed in the traditional manner. As technology advances, a remote control may be used to automatically open and close the gate. In this study, the author attempts to develop a gate utilizing an internet-connected microcontroller and an android smartphone application to make it simpler for users to manage and monitor the motor's status and eliminate the need for a remote control. The automatic gate prototype includes a track length of 3 meters, a 12 V dc gearbox motor, and a control system. The gate load standard is 15.40 kg. The study's findings employ the Internet of Things (IoT) to regulate and observe gate opening and closing as well as gather data on gate status and maintenance. According to test results, an average torque value of 78.44 Nm at an average current value of 10.25 A was obtained utilizing a mass load variation between 1 and 15 kg. Qos performance between Node MCU and Android application shows the quality of data transfer during deceleration with an average value of 34.3 seconds. The average throughput value is 149.6719 bps.

Hybrid Smart Home using traditional & IOT Controls

Abstract: Now-a-days, IOT implementation has been a trend-worldwide. The ease of operation, power savings, and the analytical data that we gather from those devices has been a big boon for the industry. However, hassle-free adoption of newer systems, has always been an issue in terms of monetary costs as well as in regards to the familiarity with the original design. While there have been many studies which have focused on the aspects of costs, seldom they are with the objective of facilitating ease of transition from one familiar class of generation of products to the next. Our prototype product taps into this very aspect of familiarity. It is based on a microcontroller-based relay system, comprising of Node MCU - ESP-8266 microcontroller, relay module and household piano buttons. It facilitates ease of operation, while maintaining backwards compatibility. Our prototype is a blend of two systems, with traditional system working in conjunction with the new IOT based systems, making a hassle-free user experience, while at the same time increasing the safety and durability of the switches.

Development of an Internet of Things-Based Garbage Collection Robot

The problem of garbage is not a new thing from the past until now, garbage is still the center of attention and a prolonged problem because of the various impacts of the problems that are caused and felt. Many factors are the cause of the increasing amount of garbage every day, including the lack of self-awareness about maintaining cleanliness and disposing of garbage in its place. This study aims to develop an IoT-based garbage collection robot. The method in developing this garbage collection robot is using the Fuzzy Mamdani method. The IoT-based garbage collection robot is designed using the Arduino Uno microcontroller as well as the Node MCU ESP 8266, HC-SR04 sensor, DHT11 sensor, SG90 Servo motor, DC motor and L298N motor driver. The way this robot works is to detect the distance with the HC-SR04 sensor as a distance data input then processed by the Arduino microcontroller and then the SG90 servo motor will move to clamp the garbage automatically and for the robot using control via a smartphone to be directed to the destination garbage. The results of this study are that the robot can clamp or pick up garbage with a distance of less than 5 cm and can control the speed of a DC motor using the fuzzy Mamdani method.

An IoT Based Attendance System using PI Cam and RFID Controller

The primary focus of our country's education system is on attendance, particularly during graduation and post-graduation, as it is considered indicative of a student's commitment to their education. This project specifically centers around improving the attendance system. In the past, attendance used to be recorded in a traditional manner. However, over time, various attendance systems have been introduced, many of which rely on a single authentication method using a single sensor. Currently, there are attendance systems that utilize two sensors, like the "attendance system using biometric and RFID controller," for capturing attendance. Nevertheless, a drawback of the current system is the potential problem faced by management if one of the sensors fails to record data, making it difficult to obtain accurate attendance records. Moreover, injuries to the hand can hinder the use of the biometric attendance system results in a reliance on conventional techniques. An ESP32 camera is used in our project to take pictures of students or staff. for attendance purposes. This camera is capable of capturing facial images as well, ensuring attendance can still be recorded even in cases of facial injuries. Alternatively, an RFID card can be used as a backup method for attendance. The materials required for this project include Node MCU or ESP32, ESP32 camera, and an RFID controller.

Design and build an internet of thing (IOT) solar panel monitoring and solar tracking system

Nowadays, solar panels as a solar power plant which is a renewable energy source requires a tool to monitor the solar panel system. Solar panels can be controlled automatically by a tracking system using microcontroller instrumentation technology. A monitoring and solar tracking system has been designed and built using Arduino Uno R3 microcontroller, Node MCU ESP 8266, Humidity Sensor DHT-11 and PZEM-004T V3.0 based on Internet of Thing (IoT) displayed on smartphone communication devices using Blynk software. Tool testing was carried out in South Denpasar. The research methodology consists of literature study, development of the first system to system refinement and system testing at one point of the building without any hindrance. The results of this study are that the Solar Tracking System shows that the LDR sensor readings are very responsive in receiving sunlight which functions to drive servo motors and the tool can monitor Solar Panels and read the characteristic value of the relationship between light intensity, temperature, load on the measurement results will be displayed on Blynk application menu that has been designed and generated power. The power output generated from the tracker is greater than without a solar tracker.

Innovative People Nursing for Parents and Kids with Autism

Embedded systems for the Internet of Things in houses are capable of using wireless connectivity. In order to operate the home appliances through the relay, the Home Monitoring platform and sensors have been interfaced with the Node MCU controller. The most trustworthy and efficient short-range communication tool is a combination of three distinct sensors. Using a heartbeat sensor, you may regulate peak and off-peak times by controlling and watching human behavior. Therefore, the gadget may be turned ON/OFF depending on the person present if available using the humidity and IR sensor in the home.

Solar Energy Based Smart Irrigation System using IoT

This paper proposes a solar-based smart irrigation system that utilizes Internet of Things (IoT) technology to automate irrigation in agriculture. Traditional irrigation systems can lead to over-watering or under-watering of crops, which can result in reduced crop yield and wastage of water resources. Additionally, they often require significant energy costs to operate and can waste significant amounts of water through evaporation, runoff, and inefficient distribution. These systems also offer limited monitoring and control capabilities, requiring farmers to physically inspect their fields to ensure that the irrigation system is functioning correctly. However, a solar energy smart irrigation system using IoT can overcome these issues by continuously monitoring soil moisture levels, optimizing water usage, and offering remote monitoring and control capabilities. This makes it an ideal solution for farmers looking to maximize their crop production while minimizing their environmental impact. The system includes soil moisture sensors, an Arduino, a solar panel, a water pump, a wireless communication module (Node MCU) and a grid as an alternative source of an energy when there is no sufficient energy from the solar energy. The sensors collect soil moisture, Potassium, sodium and phosphorus data and transmit it to the cloud, which then activates the water pump if the moisture level is below a predetermined threshold. The solar panel provides the necessary power for the system, making it energy-efficient and environmentally friendly. The system also allows for remote monitoring and control of irrigation through a mobile application or a web-based interface. The proposed system offers a cost-effective, sustainable, and efficient solution to irrigation in agriculture, with the potential to increase crop yields while conserving water resources using IoT technologies to automate and optimize irrigation practices in agriculture. The system utilizes soil moisture sensors, Potassium, sodium and phosphorus sensors, and amount of water needed for crops. The system is designed to be energy-efficient, cost-effective, and easy to use. It can be remotely controlled and monitored via a mobile application, allowing farmers to have real-time access to their irrigation systems. This system has the potential to improve crop yields, conserve water resources, and reduce labor costs associated with manual irrigation practices.

Heart Attack Detection and Heart Rate Monitoring System Using IOT

The system proposed in this project uses an IoT-based ESP32 Node MCU and a heart rate sensor to detect heart attacks and monitor heart rate. The device has the ability to measure the user's heart rate in real-time and spot irregularities that might be signs of a possible heart attack. The proposed system also has the ability to upload the collected data to the cloud for additional processing and archiving. A Max 10300 heart rate sensor, an ESP32 Node MCU, and a microcontroller to process and analyse the gathered data make up the system. Wi-Fi connectivity is used by the system to send data to the cloud, which can both the patients' own and the healthcare professionals' access. The suggested system has a number of benefits, including continuous monitoring, real-time data processing, and automatic heart attack detection, all of which have the potential to save lives. A noteworthy development in the healthcare industry is the heart attack diagnosis and heart rate monitoring system employing the Internet of Things-based ESP32 Node MCU and Max 10300 heart rate sensor. For people who want to track their heart health in real-time and look for any potential irregularities, it provides a practical and affordable alternative. Healthcare professionals might also utilize the technology to remotely check the heart health of their patients and take emergency action

Landslide Monitoring and Detection

The project titled "Landslide Monitoring and Detection" aims to detect and monitor potential landslides using a combination of sensors and machine learning algorithms. The sensors used in this project are MQ, rainfall, vibration, soil moisture, DHT, and water flow sensors. These sensors collect data that is sent to an Arduino Uno, which then sends it to a Node MCU. The Node MCU sends the data to a Java server using NetBeans IDE, which stores the data in a text file. The machine learning algorithms used in this project are KNN, random forest, XGBoost, and decision tree. These algorithms are applied to the data in the text file, with a given threshold value based on training data, to determine which algorithm provides the best accuracy. The algorithm with the highest accuracy is then used as the result for landslide detection and monitoring. The use of multiple sensors and machine learning algorithms improves the accuracy of landslide detection and monitoring. The sensors provide real-time data that is continuously monitored and analyzed by machine learning algorithms. The results of this project can aid in preventing and mitigating the effects of landslides, which can cause significant damage to infrastructure and loss of life. This project has the potential to be implemented in areas prone to landslides, providing early warning systems and improving disaster management strategies.

Smart Sewage System

Abstract: Sewage treatment is an important environmental protect problem. If the drainage system is not maintained properly, the pure water got mixed with drainage water and cause infectious disease. It is very important that underground drainage system should work in a proper manner to keep the city clean, safe and healthy. So various kind of work has been done to detect, maintain and manage these underground systems. To create a barrier to this problem, a hardware model is designed to monitor the sewage system. In this project, we aim to design a system to measure the water level in sewage continuously using the ultrasonic sensor. The toxicity of CO and methane gases are also sensed to avoid danger for human life. This project attempts to device that detect the humidity, temperature levels, and mixture of gases, sensing each type of gas to measure its level while keeping track of the real-time dynamic changes in the above factors using Arduino. If levels exceed beyond the threshold, it shall send an alert on the connected mobile devices of the authorized people who are remotely located in the job with the help of Node MCU

Sistem Monitoring pH Air pada Budidaya Lele Berbasis IoT

Maintaining water quality is the most important thing in every aquaculture, in this case catfish farming, so in maintaining water quality, especially water pH, it is necessary to monitor the pH of water in fishery ponds. This activity aims to be able to create a tool. the firebase and blynk platforms use the node MCU microcontroller with the ESP-8266 module which can be monitored remotely in realtime 8266 with the method used is prototype, starting with identifying needs, designing, building and testing prototypes. The research process includes measuring the pH of pool water by a water pH meter sensor device and the data is forwarded and processed by the MCU node which already has an ESP-8266 (wifi module) which can send pH reading data via the internet to firebase and blynk's realtime database platform so that later with it's easy as long as you are in the same network, information on measurement results will be easily accessed via any device, be it a PC, laptop or smartphone. Based on the test result that this monitoring system can run well to measure the pH of water with a relative error of 0.581%. In the end the use of this tool is to benefit from the application and testing of the tool in this case it is expected that the pH quality of the catfish pond water is good.

Intellihome Using IoT

The development of the Internet of Things (IoT) and wireless communication technologies has led to a considerable increase in interest in smart home automation in recent years. In this project, we suggest a remote appliance control system for an automated home that makes use of a Node MCU, Bluetooth module, relay, light, and fan. The suggested system is made up of numerous sensors that keep an eye on the surroundings and adjust the gadgets as necessary. The Node MCU serves as the hub that connects all the sensors and devices and uses Wi-Fi to connect to the cloud server. Using a smart phone application that connects to Node MCU through Bluetooth, the system may be managed. Lighting, fans, and air conditioners are just a few of the home items that can be controlled by the system. The suggested system offers a efficiency. Key Word: Home automation, Connectivity, Bluetooth Module, WiFi, Realtime monitoring.

Food Quality Monitoring System Based On IoT

Food safety and hygiene is a major concern in order to prevent the food wastage. The Quality of the food needs to be monitored and it must be prevented from rotting and decaying by the atmospheric factors like temperature, humidity and dark. Therefore, it is useful to deploy quality monitoring devices at food stores. These quality monitoring devices keep a watch on the environmental factor that cause or pace up decay of the food. Later, the environmental factors can be controlled like by refrigeration, vacuum storage etc. The people want organic food for healthy lifestyle. So, to avoid the problems associated with the food without human interpretation we need such a device which helps to determine the quality of food. There is a requirement of such a device which guide us about the hygienic food. Hence to fulfill this consumer demand we made a device that checks whether the quality of food is good or bad. This paper represents the use of various sensors in the field of the food industry. The sensors like pH sensor, gas sensor, temperature sensor help in identifying the condition of food. This system makes an effective presence in restaurants, households, small scale industries. Key Word: Temperature and Humidity sensor (DHT11), Node MCU (ESP8266), MQ3 Sensor, LCD Display, Alarm system, Embedded C, Android Studio.

Smart Prepaid Electric Energy Meter Monitoring System Using Machine Learning and Internet of Things (IoT)

Energy is very precious for the living beings in recent times. The Energy consumption is consistently as increases as the population increases so the need power is also increases, The revenue in electricity system are increasing and also gets hard to monitoring the each system. It is quite Impossible to check out the consumer’s residence at regular intervals. In this paper, a new procedure of using NODE MCU to monitor and control the energy meter power supply by remotely disconnect and reconnecting the service of a particular consumer. An notification is sent to the utility central server and consumer through wi-fi module whenever the load consumption is exceeds the consumer desired value. The NODE MCU, and WEB page handle the Real-time Monitoring the load consumption notification and shows current pursuing with costs through the online page. In this exploration, we complete the accuracy of meter perusing with the help of an LCD that shows which prone to KWh, voltage, current and power factor perusing. Key Word: IOT, Smart Monitoring, Prepaid System.

Smart Vehicle Transportation System Using Node MCU

In this paper, vehicle accident monitoring and tracking systems are implemented using IOT webpage acting as a medium for data transfer and visualization. The system is developed to monitor various driver help parameters like seatbelt earing, speed indication, and vehicle parameters like GPS Module, the distance between the vehicles and tracking of the live location of the Vehicle. The Ultrasonic sensoris placed in the front part of the vehicle, if any two vehicles draw near to one another then an alert message is sent to the SMS through IOT Webpage application. The seatbelt sensor is placed in the side part. When the panic button is pressed, the panic alert messageis send to SMS(IOTWEBPAGE) The developed system takes care of vehicles and s driver’s safety. Key Word: NODE MCU,IOT Webpage, GPS, Sensors.

Ultrasonic Spectacles for Blind Person

The ultrasonic spatial code line for blind people using Node MCU, web camera, ultrasonic sensor, and output of speaker is an innovative system designed to aid visually impaired individuals in navigating their environment independently and safely. The system works by using a combination of hardware components and software algorithms to provide real-time spatial feedback to the user. The system consists of a Node MCU microcontroller, which acts as the central processing unit and controls the flow of data between the various components. A web camera is used to capture a live video feed of the user's surroundings, which is then processed using image recognition algorithms to identify and locate obstacles in the environment. An ultrasonic sensor is used to measure the distance between the user and any obstacles detected in the video feed. This information is then used to generate a tactile feedback map that is transmitted to the user via a speaker output. The tactile feedback map consists of a series of vibrations that correspond to the location and distance of the obstacles in the user's environment. The ultrasonic spatial code line is a critical need for blind individuals who struggle with navigating their environment independently. The system provides a practical solution that can help improve their quality of life by enabling them to move around more safely and confidently. Additionally, the system is relatively low-cost and easy to implement, making it accessible to a broader range of individuals. Key Word: Electronic Travel Aid – Visual Impairment- Machine learning – Navigation Aid - Mobility – Ultrasonic spectacles – Blind navigation;

Access Control and Voice Response in IoT Based Home

The goal of this project is to design a smart phone application-controlled home automation system. The system will monitor and manage several elements of the house, including lighting, and security, using a combination of sensors, microcontrollers, and communication protocols. The system will be created to be user-friendly, secure, and economical with energy. Users will be able to establish routines, get notifications, and remotely operate and monitor their house via the smart phone app. To further improve the system's functioning, the study will investigate the integration of voice assistants and machine learning techniques. The ultimate objective of this project is to develop a complete home automation system that offers its consumers comfort, convenience, and peace of mind. Keywords: Access control system Home automation, Microcontrollers Node MCU, Voice assistants.

Smart Parking System Model Analysis with NodeMCU and IoT-Based RFID

There is much conventional management parking nowadays. One of them is on campus 1 of Muhammadiyah University of Bengkulu. Many vehicles that do not belong to students or staff from the Muhammadiyah University of Bengkulu are parked in the inner area of campus. In addition, it causes vulnerable to direct physical contact with other people, while the government recommends not to have direct physical contact with other people in the era of the Covid-19 virus pandemic. So this study designs a smart parking system with Node MCU and IoT-based RFID. Parking systems that use RFID are able to filter incoming vehicles, increase security and efficiency in parking areas, and able to reduce the impact of the spread of the Covid-19 virus. The technology used is RFID as a user Id reader Sensor, Node MCU as a microcontroller, E-KTP as access to the parking area, servo as a parking portal driver, LCD as a sign whether access is accepted or not, and infrared as a distance sensor that will signal to a servo to close the portal. This system can be hoped to overcome the current problems.