MCU Module Research Articles

A Novel Sensible Smart Mask Using Micro Thermal-Electric Energy Conversion Elements.

In poor sanitary conditions, people need to wear masks to protect the health of their respiratory system. Meanwhile, it is necessary for patients with respiratory diseases to have real-time measurement on respiratory rate when wearing masks. Thermoelectric generation provides a new approach and method for powering and sensing small low-power devices, and has good application prospects in smart masks. In view of this, a novel sensible smart mask using micro thermal-electric energy conversion elements (TECE) is proposed in this paper, which can detect and display the respiratory rate in real time. First, the temperature conversion characteristic of micro TECE represented by the thermoelectric generator module is analyzed. Second, the respiratory characteristics of the human body are studied, and the respiratory rate sensing effect based on micro TECEs is analyzed and verified. Then, a sensible smart mask, which can show respiratory rate in real time, is developed by integrating MCU and OLED module. Finally, human respiratory rate experiments are conducted, the experimental results verified the effectiveness and accuracy of the proposed sensible smart mask.

Solar Panel Tracking Control Monitoring System

Solar energy is extraordinary and the largest energy on earth and no pollution. Solar cell technology is a technology that can absorb solar energy and convert in to electrical energy. In general, the installation of solar panels is only in one direction so that the absorption by the photovoltaic collector will not be optimal. Subsequence, the electricity produced is also less than optimal. To optimize the absorption of sunlight, the photovoltaic collector must be parallel to the sun. In this study, 4 LDR light sensors were used as detectors of the highest intensity of sunlight, the LDR output would enter the Arduino Mega microprocessor and control the DC motor to drive the solar panels. The monitoring process used a current/voltage sensor (INA219), temperature and humidity sensor (DHT 11), data from the sensor was processed by the ESP8266 Node MCU and then the data can be accessed via an Android Smartphone using the Blynk application. These data were transmitted to users wirelessly via the ESP8266 Node MCU module. From the test results, the energy generated when the solar cell was stationary averages V = 14.28 volts, I = 0.66 A and the energy when the solar cell moved averages V = 14.63 volts, I = 0.92 A. Therefore, the comparison of electric power in the condition that the solar panels moved according to the movement of the sun has increased by 30.13% compared to the stationary condition.

FIRE FIGHTING ROBOT

— The Project is designed to develop a Low-Cost firefighting Robot using Bluetooth technology for remote operation. Bluetooth HC-05 module is used for this purpose. The robotic vehicle is loaded with water tanker and a pump which is controlled over wireless communication to sprinkle water. At the transmitting end using push Bluetooth app, commands are sent to the receiver to control the movement of the robot either to move forward, backward and left or right etc. At the receiving end four motors are interfaced to the micro controller where two of them are used for the movement of the vehicle. A water tank along with water pump is mounted on the robot body. The whole operation is controlled by an ATMEGA328 series micro-controller. A motor driver IC, L293D is interfaced to the microcontroller through which the controller drives the motors. We are using ESP32 MCU and camera module to process the real time video transmission. The transmitted video can we streaming on IP network.

CONCEPT OF INTELLIGENT MEASURING SYSTEM FOR ANALYZING THE ENERGY CONSUMPTION OF IOT MODULES

The conducted analysis showed the shortcomings of known techniques for measuring MCU (microprocessor systems and IoT modules - hereinafter MCU) current consumption.
 In order to improve self-powered systems, designed to perform complex algorithms (learning ANNs, searching for signatures of suspicious software code, etc.), it is necessary to minimize the energy consumption of software, since hardware of modern MCU has low consumption. Optimizing MCU software in terms of energy consumption requires experimental studies of the energy consumption of the execution of instructions, commands and programs. Due to the lack of specialized measuring equipment that has sufficient accuracy (the error must be less than the difference in power consumption of instructions and commands) and immunity to interference, known models do not allow optimizing the software in terms of power consumption and thereby increasing the operating time of autonomously powered systems without recovery battery charge. And this is important for MCU and IoT modules operating in remote locations, dangerous for people, and critical infrastructure systems. However, a direct study of the energy consumption of MCU instructions, commands and programs as part of IoT modules is very time-consuming. RISC microcontrollers have few commands, but many modes of their execution, so it would be necessary to investigate 10-20 thousand options. It is proposed to use the methods of artificial intelligence for the classification of teams and the forecast of energy consumption of those teams that were not studied.
 The basis of the concept of a measuring system for the analysis of current consumption of smart devices and IoT modules can be the architecture developed in this paper. At the same time, a more detailed study of them and provision of noise protection, in particular, due to non-contact measuring devices, is required.

Design of A Grid-connected Control System for Distributed Photovoltaic Power Generation Based on PLC

Distributed photovoltaics interfere with continuous power generation after grid connection. In the face of the failure of a single module, the current grid-connected control system needs to readjust system parameters to flexibly adapt to equipment operating conditions. Therefore, this paper is researching a photovoltaic power generation grid-connected control system based on PLC. In the hardware part, PLC is used to complete power generation control, monitoring MCU, data acquisition, control, and other modules. In the software part, the grid-connected state is optimized and controlled according to the distributed photovoltaic output power and the remaining energy storage capacity. The PLC is the execution center, which will control the on-off state of the equipment switch after the data operation. The experimental results show that the designed system can optimally control the power generation and energy storage units according to the power change, reduce the cost of electricity consumption through the adjustment of charge and discharge, reduce the IO usage rate, and improve the concurrent response ability of users. The design system not only guarantees the quality and efficiency of photovoltaic grid connection but also realizes rapid networking and independent tracking of power points to meet the requirements of flexible communication.

Development and Application of Vibration Comfort Detection Device for Escalator Based on MEMS Acceleration Sensor

Vibration comfort is an important indicator for evaluating escalator riding experience. The measuring principle of vibration comfort of escalator step and armbands was analyzed. The calculation methods of vibration acceleration extraction, frequency meter weight, root mean square (RMS) and vector sum were summarized. A wireless triaxial acceleration data acquisition module was developed based on micro-electromechanical system (MEMS) acceleration sensor, MCU and high-speed WIFI module, and a vibration comfort detection application (APP) based on the Android operating system was developed. The calibrated detection device was applied to escalator field test. The results showed that the maximum vibration RMS and average RMS of the step and the armband on both sides can be quickly calculated, and the vibration comfort level can be divided, which provided important data reference for equipment maintenance.

Design and development of smart lock system based QR-Code for library's locker at Faculty of Engineering, Universitas Riau

A security system is needed to prevent theft or other criminal acts. One of the implementations of a popular security system today is the Smart Lock System. This study discusses the design of an intelligent lock system using QR Code scanning as a locker key at the Library of the Faculty of Engineering, Universitas Riau. The design of the device system consists of one piece of ESP8266 Node MCU module, one piece of 12V Power Switch Adapter, one piece of AMS 1117 module with 3.3V and 5V output voltages, three pieces of 5V Relays, three pieces of 12V Solenoids. The security system has been improved compared with existing security systems, such as verification for personal data, email notification, and level login to get theft to treat notification. This paper also measured the delay of the device system. Based on measurement results, the average delay obtained is 1.66 seconds.

GREENHOUSE MONITORINGAND CONTROLING USIN IOT

Focusing on making a smart greenhouse-controlled environment area to grow plants. By using a low cost more efficient programmable module to detect the climatic behavior inside the greenhouse and controlling the parameters according to their crop production need, through various techniques with the use of board ESP8266 Node MCU module. The parameters that need optimization are the water content of the soil, the light intensity coming from the naturalor artificial sources, the temperature and humidity of the field area. The design proposes monitoringby soil moisture sensor, LDR sensor, and DHT22 (temperature and humidity) sensor; all these sensors collected the data and given to the Node MCU module, and then after processing the dataall the parameters are controlled via water pump, motors, exhaust system, and light system as perthe data calculations. With the help of HTTP protocol, the Node MCU module is connected to thewirelessinternet connection or through IoT platformslike telegrambot.The collected environmentalparameters data sent to smartphones via online mode to the farmers to make the proper overlookon their fields, no matter how far they are just by using the IoT platform. In the field of agricultureand food production, the technology has paced up very quickly and is still furnishing its way, to optimize and achieve maximum plant growth in the field of agriculture. An accurate system would surely bring the change in this world of Android/IDS smartphone applications

Smart Vehicle Service Management System Using IoT

Abstract: To ensure the proper operation and efficient operation of the vehicle, regular vehicle service is necessary to monitor various parts of the vehicle. This paper “Smart Vehicle Service Management System using IoT” is being proposed to detect some problems in vehicle and also it provides a platform to book online service to the vehicles. It sends an alert message in form of SMS to the user if any problem is detected and suggests that servicing to vehicle is now required. The system is integrated with different sensors like FSR, adxl, DHT11, level etc to detect problem in vehicle and being displayed in LCD, so if any problem is detected the buzzer will give alert sound indicating the vehicle has a problem. Along this a Node MCU and GSM module is being placed to get live updates in cloud and also in a form of SMS and the same data is stored data in cloud. The alert message received in form of SMS is redirected to the SVSMS website which will allow the user to book online service. The proposed system helps the user to detect the problems in prior and act precisely so that efficiency of the vehicle is maintained and cost/ inconvenience could be avoided.

FAULT DETECTION OF UNDERGROUND CABLES THOUGH NODE MCUMODULE USING IOT

Underground cables are vulnerable to a variety of issues due to subsurface settings, wear and tear, rats, and other factors. It is difficult to diagnose the source of the fault, and to examine and correct issues, the entire cable must be removed from the ground. Using an Arduino, the project effort aims to determine the location of a fault in subterranean cable lines from the base station in kilometres. The wire must be examined for defects in order to discover a fault. This prototype employs the concept of Ohms law. The current would fluctuate depending on the fault length of the cable. The suggested method pinpoints the fault's exact location. To ensure correctness, the prototype is built with a series of resistors that indicate cable length in kilometres, and faults are created by a set of switches at every known distance. KEYWORDS : NODE MCU module, cable fault, Arduino, switches

VISUAL ACUITY CHECK

Visual Acuity check is the test initiated to examine patients' potential eyesight problems. After detection, it is then rectified under the guidance of a professional (ophthalmologist) with appropriate solutions. This test usually includes expensive instruments which make the setup bulky and immobile. Due to the limited resources and high cost, people residing in remote areas do not prefer to undergo this test which makes them ignorant concerning their visual health. So, to turn their attention towards visual health and help them avail this test, we are trying to propose a set-up namely Visual Acuity Check with minimum instruments. The key components of this setup are a standard Snellen Chart, a system that uses a Speech-to-text converter, and a node MCU for remote automation. This system includes pre-defined standard formulae and conversions for diopter calculations. This test does not necessarily require any professional handling. Thus, this movable setup will offer high efficiency at a very low cost. Key Words: Snellen chart, Node MCU Module, speech to text converter system.

Internet of Things (IoT) Enabled Air Quality Monitoring System for Conventional and UAV Application

The purpose of this research is to make a system to read the air quality by detecting the various gases existing in the air by using Arduino UNO and node MCU module for conventional as well as UAV applications. The emergence of the Internet of Things (IoT) has made it easier to read the various gases present in the environment using smartphones from the workplace. The use of an Arduino processor with a Node MCU to construct an air quality monitoring system is discussed in this paper. The Node MCU is used to transmit live data for CO, CO2, and PM2.5 concentrations that are sensed by sensors. This data can be monitored continuously by the user via the mobile phone. The calibration of sensors is highly important while reviewing and grasping the large literature on the subject of IoT-based air quality monitoring. The proposed low-cost live air quality monitoring system uses commercially available gas sensors to detect environmental gases such as CO, CO2 and PM2.5 to monitor air quality in an outdoor area. The proposed system is used to correctly evaluate the experimental outcomes. This proposed prototype model incorporates an open-source cloud facility with Arduino for air quality monitoring, confirming low cost, comfort, and convenience for a customizable air quality monitoring system. As a result, the suggested system can simply be converted to use in a UAV for monitoring air quality in the outdoors at various altitudes, and it can be scaled up in the future.

Design of Central Air Conditioning Control Acquisition Device Based on IoT Technology

With the rapid development of Internet and electronic technology, the Internet of things (hereinafter referred to as IOT) has become an important way of many intelligent devices, which can improve people’s application of intelligent devices. Through the IOT, we can carry out the research on the centralized monitoring system of central air conditioning [1]. Through the IOT, we can realize the IOT of indoor and outdoor units of central air conditioning, which can realize the important application of practical engineering projects. Through fuzzy algorithm, this paper can improve the overall improvement of the project. Through the cooperation of MCU and GPRS module, we can complete the wireless transmission of data., This can realize computer terminal monitoring and mobile terminal monitoring. Through engineering application, we can realize the automation and information integration of system monitoring, which will greatly improve the monitoring efficiency. Through the development of acquisition device, we can improve the comfort and security of central air conditioning, which will enhance the communication between the physical equipment of the system and the upper server network. Firstly, this paper analyzes the flow of fuzzy PID algorithm. Then, this paper specifies the system diagram of the central air conditioning control acquisition system [2]. Finally, this paper puts forward the important work of system acquisition.

IOT Based Home Security And Automation Using Google Assistant

Internet of Things (IOT) is an important technology that affects the internet and communication technology. IOT allows people and objects to be connected anytime, anywhere, in any way/shape and function. Earth's mechanical systems have become very popular in the last few decades and improved living conditions. This project provides the structure and model of an automated earth system. The most important feature is the Raspberry pi, which has an internal Wi-Fi module that allows you to control your device over the Internet. It supports a variety of earth tools, such as energy management systems. Besides, the application is built where the user can control the device using Google Assistant. The IOT project also aims to build a wireless home protection system that uses the ESP32 camera Node MCU module to send alerts to owners if anyone takes a picture of the door and sends it to the owner.

Smart Shoe Sanitizing Device

People of our country are searching for all kind of protection against the virus which has been spread in all countries, according to surveys it is known that coronavirus keep active on the metallic grounds but on the other hand it can remain on shoe for three to five days. As plastic, leather, and rubber are the good transporter of viruses so daily requirements made by these materials are needed to be sanitized. If a person goes to an infected place or sneezes or speaks in front of another person can be infected easily by the globules spread over the shoes. Also, as our shoes come in contact with most of the dirt and germs, it is another reason for growing corona along with another virus. For this which virus and bacteria stay stick with the sole of the shoes can be carried to home. So, to fight against this situation, this paper proposed a smart IoT based Shoe Sanitizing System. Our proposed system will detect and remove the bacteria or virus by liquid spraying sanitizer along with the light of UV and at last, the shoes are dried with the air of DC. We can monitor and control the system over the Wi-Fi or internet by the implementation of the Node MCU and 4G GSM module. We have constructed this system to be carried out on the entry gates and doors. Through this device, a passer-by can avoid destroying the pandemic and also lower cost.

Bluetooth wireless temperature and humidity detection system based on STM32

Based on STM32 MCU and HC-05 module, a wireless temperature and humidity detection system is designed. In this system, STM32 is taken as the control core, the digital temperature and humidity sensor AM2303 with low power consumption and fast response is used to collect temperature and humidity signals, and bluetooth technology is used to transmit the detected environmental information, thus completing the remote communication with the upper computer. The problem of complicated wiring of traditional wired monitoring system is solved. Through Bluetooth module, the communication between STM32 single chip microcomputer and host computer can realize the real-time detection of environmental temperature and humidity. When there is danger in the room, the mobile phone or work computer can receive warning signals in time. The experimental results show that the system has the advantages of good real-time, high data transmission reliability and good intelligence, Meanwhile, the cable is saved and the cost is reduced.

A Wireless Multisensor Node for Long-Term Environmental Parameters Monitoring

Environmental quality is a great concern to everyone, in order to realize the collection, upload, management, and visualization of parameters of atmospheric environment in real time. We propose a cheap, low-power, and fast deployment wireless sensor node for environmental monitoring, consisting of STM32 MCU, ESP8266, light sensor, rain sensor, UV sensor, seven-in-one sensor (including temperature, humidity, PM2.5, PM10, CO2, formaldehyde, and TVOC), and solar automatic tracking module. A customized μC/OS-III runs on the node, which controls the transmission of environment parameters collected by each sensor to the cloud server through the wireless network, and then the server receives, stores, and visualizes the data. In actual test, the node collects data once an hour, and the running power of the node is low and stable. Experimental results show that the node could achieve accurate collection and transmission and display the environmental data, and solar automatic tracking module could meet long-term running of the node in the night and continuous rainy days.

Development of Liquefied Petroleum Gas (LPG) leakage detection wheeled robot on horizontal pipes based on Arduino Uno

LPG utilization need more attention to safety aspects of human, environmental and equipment. This research aims to develop a wheeled robot which is capable of detecting LPG leaks in horizontal pipes by data acquisition via wireless internet, so that it is useful to facilitate human work in determining LPG leak points on horizontal pipes. The controller of this robot is Arduino UNO and equipped with sensors. The sensor measurement data is acquisitioned using the Node MCU module to the Blynk application as an interface application. This robot has an emergency stop feature on the Blynk application. The final results of this research are LPG leak detection robots on horizontal pipes which can provide information on leak points based on gas sensor measurement data and rotary encoder installed on robots with acquisition via wireless internet and data storage on MicroSD. The robot is equipped with buzzer indicator that will sound when a leak is indicated with a gas concentration of more than 30% on one of the gas sensors. Based on the results of final test of the robot, the average value of the leakage point distance obtained is +8.7 cm.

Internet of Things Driven Framework for Smart Solar Energy System

The explicit model of the energy yield with respect to irradiance and cell temperature of a photovoltaic (PV) system can be apprehended using pvsyst software. Building on this data, this paper addresses performance challenges for JA Solar, JAP6 (DG) 60-235 solar PV module driving a load of Enphase, IQ6-60-x-240 grid inverter. The data modeling reflects correlation of 62% between panel temperature and output efficiency. Researchers in the past have claimed that extreme temperature exposure as one of the main impediment in decline of solar panel's life span and figured 25 °C as the ideal temperature for optimum yield. This research proposes the Internet of things (IoT)-based smart solar energy system (SES) for smart cities that automatically tune the low-powered cooling unit to lower panel's temperature to outmatch energy yield and augment solar panels life. The analog design of the cooling mechanism is set up for temperature range from −10 °C to 85 °C using hybrid op-amp proportional–integral–derivative (PID) controller and heat sink/fan with surface mount temperature sensor to maintain module temperature. The experiment analysis showed improvement of 1.7% to 2.99% in output efficiency after considering 1.8 W total power intake of the cooling circuit relative to the pvsyst v6.74 results. To access temperature data of solar panel and output current along with in-built system's current consumption, IoT accreditation is done using node MCU and Wi-Fi module.

Precise Positioning System of Ship Interior Based on UWB Ultra Wideband Technology

ABSTRACT Zhang, K.; Shen, C.; Gao, Q.; Zheng, L.; Wang, H., and Li, Z., 2018. Precise positioning system of ship interior based on UWB ultra wideband technology. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 908–912. Coconut Creek (Florida), ISSN 0749-0208. A new ship indoor accurate positioning system was proposed. Firstly, the UWB ship indoor positioning system of power module, MCU module, UWB module and chip selection of memory module were given. The hardware design of system label / micro base station was completed. Then, based on the UWB localization algorithm, the time difference of arrival (TDOA) improved algorithm using reference tags auxiliary information was proposed. The software design process of system label / micro base station was completed. Experimental result shows that this system has high positioning accuracy. and the low time delay of receipt signal.