MQ2 Sensor Research Articles

SMART SAFETY HELMET: PENDETEKSI KARBON MONOKSIDA (CO) DI LOKASI PENGGALIAN SUMUR DAN PERTAMBANGAN

The well excavation or drainage process often results in casualties due to the presence of poison gas at the bottom of the well. Workplace accidents caused by toxic gases in mining locations also frequently loss of life. This research aims to create a smart safety helmet, a project helmet for personal protection equipped with an MQ-2 sensor to detect toxic gases, connected to a smartphone application using IoT (Internet of Things) technology. Data collection involves calibration tests and simulation tests. Data analysis employs descriptive statistical analysis in the form of numbers and tables. The creation of the smart safety helmet involves integrating Arduino devices with an MQ-2 sensor, LCD, buzzer, power bank, and IoT technology connected to the mobile phones of operators or project supervisors. This integration enables the helmet to detect and relay information about CO gas and its safety status. Based on the performance test results and calibration tests using Automotive Diagnostic Solutions owned by the Cilacap District Transportation Agency, the smart safety helmet has been proven effective in detecting the presence of carbon monoxide by being worn by mining workers and well diggers, thus detecting CO levels and its safety status. If the CO level reaches 1500 ppm or more, the operator or project manager can immediately prepare rescue measures.

Design and Build Noise and CO2 Control Devices in IOT (Internet of Things) Based Libraries

The library is a source of knowledge, information, and support for learning. It is equipped with facilities to support comfort and maintain concentration while carrying out activities in the library. For human resources to progress further, libraries must be made as comfortable as possible to support learning. This study aims to design a noise and CO2 control device in an IOT (Internet of Things) based library by using 4 sound sensors KY-037 to detect noise and 1 MQ-135 sensor to detect CO2 gas. This research method uses a literature review study. The noise and CO2 control device in the IOT (Internet Of Things) based library has been completed and can work as planned, the accuracy obtained from the KY-037 sound sensor is quite high, which is 97.6%. However, the good thing is that if the sensor accuracy is improved again, the accuracy obtained from the MQ-135 sound sensor is also quite high, which is 99.16%. Conclusion If the accuracy of the sensor is improved again, the web server runs smoothly using AJAX (Asynchronous et al.) so that the resulting website does not need to load the entire page and the ESP32 as a microcontroller can control the entire system well.

Gas Concentration Measuring-System (CH4, NH3, CO2) Upon Cow Feces in an Encased-Space Based on Arduino Uno

The goal of this exploration is to fabricate an estimating instrument for perceiving Methane, Smelling salts, and Carbon Dioxide gas concentrations in cow feces within a confined space. The feasibility of gas concentration detection devices using MQ-2 sensors, MQ-4 sensors, and Arduino Uno-based MQ-135 sensors will also be tested. This research relates to physics, particularly instrument physics. The research will employ hardware design, software design, and testing methodologies. The gas used for testing was produced from 500 grams of cow feces through three treatments: no treatment, addition of 50 grams of activated charcoal, and addition of 50 milliliters of EM4. The tool validation test was conducted by three experts, and the typical worth acquired was 95.8%, classified as entirely achievable. The experiment yielded the highest concentrations of CH4, NH3, and CO2 gases at 11:30 AM (plus EM4), 03:00 AM (plus EM4), and 24:00 AM (without treatment), respectively, with readings of 9.49 ppm, 26.89 ppm, and 4.57 ppm.

Measuring The Amount Of Ammonia Gas In Cattle Using The MQ137 Sensor In Rawan Village, Mayang District, And Member District With The Goal Of Raising Public Health Standards

The majority of the farmers in Pringtali Hamlet, Mayang Village, Jember Regency, are also cattle breeders. Cattle breeders make up the majority of farmers. They construct basic cow enclosures; the majority are joined to the home, while others are independent. For the two of them, the cage's quality does not match the standards for cleanliness. Even in cages attached to the home, the smell of cow poo can be detected up to three meters outside the cage and within the main house. Ammonia is often the gas that is released from either liquid or solid cow manure. This gas can have some negative effects on health; in fact, it can irritate respiratory blood vessels in those 60 years of age and older. Because ammonia gas from cages has not been handled adequately, the living environment is contaminated. The goal of our service is to measure the threshold level of ammonia gas surrounding the cage (using the MQ-135 sensor) in order to ascertain whether the cage is ecologically friendly and healthy. Two cow pens one adjacent to a domestic main house in Pringtali Hamlet and the other from a separate traditional pen have had measurements taken. By monitoring liquid excrement drainage channels and promoting air circulation around the cage, the measurements seek to maintain the cleanliness of the cage environment and the management of ammonia gas content. Cage management so that the livestock community can improve the cleanliness of the living environment.

Gas Leakage Detection and Prevention Using Sensors and IoT

In today's world, safety is critical, and good safety systems must be put in place. The principal objective of this study is to design a gas sensing and warning system based on Internet Of Things. LPG is used for cooking and in industries. Since LPG is stored and handled by civilian’s, it is easily damaged. In any case, when the gas cylinder, controller, and tube are not in great state, breaks occur, resulting in an issue. Accidents can cause problems such as suffocation and can start fires. Installing gas leakage detectors in vulnerable areas is the most important measure to avoid accidents caused by gas spill. The primary purpose of this study is to propose a framework for detecting and eliminating gas leakage in vulnerable areas. The gas sensor is one such way of detecting and alerting people to gas spills in their initial stages. The gas leak detection system includes a GSM module that sends SMS messages when a gas leak is noticed. It also turns on the exhaust fan and alerts the firefighter department and helps us prevent unexpected disasters. This device can be used in households and industrial facilities, they can be controlled and observe conditions remotely. Key Words: Node MCU, MQ6 Sensor, ESP2866 WIFI, Servo Motor, GSM module.

Alcohol Detection Robotic Car

"Prevention is better than cure." This quote perfectly summarizes the purpose of the alcohol engine lock system with MQ3 sensor. This system is a proactive approach to prevent accidents caused by drunk driving, rather than waiting for an accident to happen and then trying to remedy the situation. The use of technology in preventing drunk driving has proven to be an effective tool in saving lives and preventing injuries on the road. The implementation of the alcohol engine lock system with MQ3 sensor has been met with some resistance from those who feel that it in fringe son their personal freedoms. However, it is important to remember that the safety of all road users should be a top priority. The use of the system can help reduce the number of accidents caused by drunk driving and ultimately save lives. It is a small price to pay for the safety of all road users. In conclusion, the alcohol engine lock systemwithMQ3 sensor is a critical technology in preventing alcohol-related accidents on the road. This system has been successfully implemented in various countries around the world and has proven to be an effective tool in reducing the number of accidents 4 caused by drunk driving. As the famous saying goes, "Safety doesn't happen by accident." It is up to all of us to take proactive measures to ensure the safety of ourselves and others on the road.

Perancangan Sistem Pendeteksi Polusi Udara Di Dalam Kamar Mesin Secara Wireless Menggunakan Sensor MQ135 Dan TGS2106 Berbasis Lora Ra-02

Air pollution is a problem that needs attention because it can threaten human life. Many human activities cause air pollution. Especially in closed rooms such as ship engine rooms. Therefore, an air pollution detection tool is needed to determine the air pollution index in that place in order to maintain pollution levels below the threshold value. Therefore, it is necessary to have a tool to detect air pollution using the MQ-135 gas sensor to detect carbon dioxide (CO2) gas and TGS2106 to detect nitrogen dioxide (NO2) gas. The type of research method used is the experimental research method. After designing the tool, testing the tool, the air pollution detection system in the engine room wirelessly using the MQ135 and TGS2106 sensors based on LoRa Ra-02 had an average error rate of 1.3% for the MQ135 sensor reading while the TGS2106 sensor reading had an average level. -average error of 6%. Therefore, the Air Pollution Detection System in the Engine Room Wirelessly Using the MQ135 and TGS2106 Sensors Based on LoRa Ra-02 can work well.

Determining the quality level of ready to-eat stuffed mussels with Arduino-based electronic nose

In this study, the performance of a pre-designed and low-cost Arduino electronic nose for determining the quality of stuffed mussels was analyzed. In addition, 1000 images were taken on each storage day in order to determine the quality levels of stuffed mussel groups with open and closed shells by machine learning. Freshness limit values of stuffed mussels were determined as 200 for MQ3 and MQ135 sensors and 100 for MQ9 on the 3rd storage day when the total viable count (TVC) value exceeded 3 log CFU/g. In the study, faster neural networks with lower prediction times, such as SqueezeNet and GoogLeNet, were compared with ResNet-50, ResNet-101 and DenseNet-201 neural networks, which have larger prediction times but better accuracy. Study data showed that residual network (ResNet) 50 and Teachable Machine (TM) had high success in determining the quality levels of stuffed mussels.

WSN-Based Data Acquisition System for Collecting Environmental Pollution Factors for Green City

Implementation with a portable, intelligent weather station is to upgrade the system for environmental management and monitoring. This gadget measures and assesses meteorological and air quality data by real-time implementation through the Internet of Things technology to provide important environmental condition insights. The monitoring station's hardware parts include the ESP32 board, MQ2, MQ3, and MQ135 sensors for gas detection. Such an intelligent weather monitoring station can easily be deployed in different environments due to its portability and versatility. This small station size and its wireless link will enable effective data collection and transfer and integration into other systems of the present day. The existing environmental monitoring system takes the temperature and humidity and measures ammonia, benzene, alcohol, smoke, and carbon monoxide. Therefore, data is brought to the monitoring station, where it communicates in real time for the users to review and analyse on the online platform Blynk. It enables users to easily make data presentations and create notifications and dashboards using a mobile app of Blynk and the web platform, enabling them to create interfaces that meet their satisfaction easily. Users may also upload the uploaded data to a web server for remote access and analysis, which eases scalability and flexibility. Portable intelligent weather monitoring station has significant areas of influence on applications like public health, urban planning, and environmental monitoring, among others. It thus provides decision-makers with information on pollution management and climate resilience. This provides a sustainable and resilient future; it is approachable since the interface used in the system is accessible, befitting the two settings: urban and rural. The Intelligent Portable Weather Monitoring Station provides great usefulness in the disclosure, development, innovation of technology, and practice in the quest for meeting challenges of the environment with the promotion of sustainability. This not only allows smarter and more sustainable city development with effective environmental monitoring and management that includes IoT technologies but can also allow flexible data transmission facilities.

A New Intelligent Home Automation with Integration of Solar and Grid

This project presents a groundbreaking paradigm shift in residential energy management and automation, offering an innovative solution that seamlessly integrates two diverse energy sources: solar and conventional grid (EB) power. With solar energy taking precedence as the primary power supply, meticulously controlled by the versatile ESP32 microcontroller, the system ensures a consistent and reliable energy supply by intelligently switching to grid power when solar resources are scarce, seamlessly reverting back to solar power as soon as it becomes available again. In addition to its dynamic energy management capabilities, the project incorporates an LCD screen to provide homeowners with real-time insights into their energy consumption patterns, offering a comprehensive overview of usage data from both energy sources. This invaluable information empowers users to make informed decisions about their energy usage habits, fostering a more conscious and efficient approach to power consumption. Furthermore, the integration of the Blynk 2.0 IoT platform elevates the project to new heights by enabling remote monitoring and control of the system. Through this intuitive interface, users can effortlessly manage their energy usage from anywhere using their smart phones or computers, ensuring maximum flexibility and convenience. Expanding beyond traditional energy management, the project delves into the realm of home automation with the incorporation of an additional ESP32 microcontroller. This feature-rich functionality empowers users to remotely control lighting fixtures, enhance safety measures with gas detection capabilities utilizing MQ2 sensors, and efficiently monitor water levels using ultrasonic sensors, all seamlessly integrated into the IoT eco system. This holistic solution not only prioritizes renewable energy sources and automates power source transitions but also leverages the transformative potential of IoT technology to create a sustainable and intelligent approach to energy management. Powered by ESP32 technology, this project serves as a trailblazer for the future of smart, efficient, and eco-friendly homes, setting a new standard for residential energy management and automation.

PEMANFAATAN TELEGRAM UNTUK PENDETEKSI KEBOCORAN GAS BERBASIS NODEMCU

A significant increase in consumption of natural resources in the household sector is the use of LPG (Liquefied Petroleum Gas) gas, this can increase the risk of fire due to leaks from gas cylinders. These gas leaks are often unknown to users because not all LPG cylinder manufacturers provide a security system for the LPG cylinders they sell, so not all homes have gas leak sensors on LPG cylinders, therefore a tool is needed to detect LPG gas leaks. In view of these problems, in this research a device was created that can detect gas in a room with an MQ-2 sensor and apply a notification system using Telegram as an SMS notification sender and a buzzer as an alarm. The design of this detection tool as a whole is controlled by the NodeMCU ESP8226. During system testing, when a gas leak is detected at a distance of 1cm – 100cm with the MQ-2 sensor, the system will provide a notification via Telegram and activate the alarm (the buzzer will beep). The process of sending this message takes around 4-6 seconds. The tool was also tested on two different cellphones and obtained the expected results and good performance.

Implementation of IoT Based Gas Leakage Detection Device

In this paper, we present the design and implementation of an innovative Internet of Things (IoT)-based gas and smoke detection system aimed at enhancing safety in various environments. Gas leaks and fires pose significant risks to life, property, and the environment, necessitating effective detection and mitigation strategies. Leveraging advancements in sensor technology, wireless communication, and smart automation, our system provides real-time monitoring of gas levels and smoke presence. Upon detection of a gas leak or smoke, the system initiates automated responses, including activating an exhaust fan for ventilation, disabling electrical appliances, and triggering audible alarms to alert occupants. Additionally, the system integrates with a mobile application, enabling remote monitoring and control. Through comprehensive testing and evaluation, we demonstrate the effectiveness and reliability of our system in enhancing safety and security. Our research contributes to the advancement of IoT-based safety systems and offers insights into future developments in safety engineering. Keywords— “IoT (Internet of Things)”, “Gas Sensor, Mobile Integration”, “Safety protocols”, “MQ2 sensor”, “LM324”.

Gas Level and Leakage Detection with Automatic Booking

Gas Level and Leakage Detection with Automatic Booking

Air and Water Quality Indexing and Environment Monitoring

The current state of the environment continues to be a pressing global matter resulting from various human activities that release harmful substances posing a threat to living beings. To combat this issue advancements in technology have paved the way for the creation of an Internet of Things (IoT) based Water and Air Quality Monitoring System providing real-time data on environmental conditions. Through web and mobile applications individuals can easily access this system and view graphical representations of water and air quality readings. This innovative system involves sensor nodes strategically placed in different locations collecting field data and evaluating it against the set standards in India. For water monitoring sensors such as the Turbidity Sensor PH Sensor DHT 11 and TDS Sensor are utilized while for air quality the DHT11 sensor MQ-7 sensor and MQ-135 sensor play a crucial role. With this advanced monitoring system timely and accurate information on the state of the environment can be obtained aiding in taking necessary measures to combat pollution

DEVELOPMENT OF ARDUINO-BASED CIGARATTE SMOKE DETECTION DEVICE AT SMK NEGERI 2 MAKASSAR

This research method is research and development which aims to produce and know the test results of the development of Arduino-based cigarette smoke detection devices at SMK Negeri 2 Makassar. This software system uses ISO 25010 using the system quality testing stage to obtain the results of functionality, usability, portability, Compatibility, Reliability, Security. This tool has been tested on 22 respondents. This tool has the potential to detect the presence of cigarette smoke or be used as a fire warning system. To improve the ability to detect cigarette smoke is to combine the Internet of Things (IoT) with the Arduino platform. The main components used in this system include Arduino, MQ7 sensor, Flame detector, NodeMCU ESP8266 module, Buzzer or speaker as audio alert, and electrical adapter. When smoke is detected past a predetermined threshold, this tool will issue a warning, both visual and audible, and send data through the Blynk application. In software reliability testing, we got 173 results from each coding and progress status is good or working which indicates the system has fulfilled the reliability aspect. For security testing using the OWSP ZAP application to determine vulnerability or security. As a result, the tool has a medium security level system, which states that the error rate on the server and coding (source code) in the application is categorized as safe

Prototype of Automatic Door and Fire Alarm System Based on IoT

This research discusses the development of a prototype of an automatic door and fire alarm system based on the Internet of Things (IoT) utilizing IR sensors to detect people, servo motors to automate door opening, flame detectors for fire detection, MQ-2 sensors for smoke detection, and Telegram as a notification medium. The integration of these technologies aims to enhance security and automation in home or office environments. IR sensors are used to detect people approaching the door, while servo motors provide a solution for door automation. Flame detectors and MQ-2 are employed to detect potential fires by issuing early warnings. This system communicates through the Telegram application to notify users. Testing conducted indicates that IR sensors can detect the presence of people up to a distance of 5cm to activate the micro servo opening the door. The flame detector effectively detects fire up to a distance of 30cm, while the MQ-2 sensor detects smoke up to a distance of 20cm; both generate output signals to activate the micro servo, LED, and buzzer for fire alarms, as well as sending notifications via Telegram to the building owner. With this approach, it is hoped to create an effective, efficient, and reliable system to enhance security and response to emergency situations.

Smart Home Warning System Using ESP- 32 Cam

Abstract: Smart home warning systems using ESP32-CAM have emerged as a pivotal solution in today's landscape, addressing the growing need for remote monitoring and security. By harnessing the power of ESP32-CAM alongside a suite of compatible sensors and actuators, homeowners can exercise vigilance over their properties from afar. With sensors like DHT22, MQ2, and fire and IR sensors seamlessly integrated, the system stands ready to detect a myriad of potential threats, from temperature fluctuations to gas leaks and even unauthorized intrusions. Leveraging IoT for wireless connectivity, this system facilitates realtime communication, empowering homeowners with immediate alerts and notifications, including visual evidence via Telegram in case of security breaches.

Personalized Weather Station

Abstract: This research outlines the conception, design, and implementation of a personalized weather monitoring system integrating multiple sensors for comprehensive environmental data collection. The project aims to create a sophisticated weather station utilizing the DHT11 sensor for temperature and humidity measurements, MQ135 sensor for gas detection, dust sensor for particulate matter assessment, and rain sensor for precipitation detection. The system's architecture incorporates Esp32-based data acquisition, employing sensor interfacing and data processing to obtain real-time environmental parameters. The project's significance lies in providing localized, accurate, and immediate weather insights beyond the capabilities of conventional smartphone applications.

IOT-Based Smart Home Control Design Using Blink Application and Esp8266 Wi-Fi Module

The swift progression of technology has significantly impacted contemporary human existence, leading to an escalating demand for tools that simplify daily tasks. Automation is viewed as a means to reduce time, enhance accessibility, and improve efficiency. Particularly, the adoption of Smart Home technology is becoming increasingly crucial in present times. This research endeavors to develop an innovative prototype for a home equipped with IoT capabilities. The prototype incorporates a range of sensors and components to fulfill various functions: a DHT11 sensor for monitoring room temperature, an MQ-2 sensor for detecting gas leaks, an ultrasonic sensor for object detection, an MC38 magnet sensor for door security, a relay to control lamp switches, and a buzzer for alarms, all managed by a microcontroller. Additionally, the system utilizes a NodeMCU with a Wi-Fi module ESP8266, facilitating communication and control through the Blynk App. The Research and Development (R&D) methodology was employed to create this IoT-enabled Smart Home prototype, aiming to enhance user convenience in daily living.

Design of Automatic Cooker Hood Using NodeMCU

Acute respiratory distress syndrome (ARDS) poses a significant health risk due to long-term exposure to carbon monoxide-containing kitchen fumes. Installation of a cooker hood or kitchen smoke extractor with an automated fan is crucial for prevention. This study employed a research and development approach to evaluate the effectiveness of utilizing the NodeMCU ESP8266, MQ-7 sensor, 16x2 I2C LCD, and overall system configuration. Experimental results revealed the MQ-7 sensor's rapid response to smoke intensity changes, with an average 3.77-second response time and a range of detection up to 10cm. Relay testing for fan speed control, using three voltage inputs (5V, 9V, and 12V), categorized conditions as SLOW (PPM>10), MED (PPM <11 & >20), and HIGH (PPM>21). The tests demonstrated optimal performance, as the system successfully adjusted fan speeds based on varying smoke intensity levels, ensuring a healthy air quality environment.