MQ2 Sensor Research Articles

DROWSINESS AND ALCOHOL DETECTION USING ARDUINO

Accidents on road ways are increasing in our day to day lives. These accidents pose significant threats to human safety and well-being. There are several ways for reduction of accidents. Some of them are Drowsiness detection and Alcoholic detection. By using sensors, communication devices and algorithms, the system aims to identify potential hazards. This abstract presents a comprehensive approach to accident reduction using Internet of Things (IoT) technology. Drowsiness Detection System aims to mitigate the risks of drowsy driving and enhance road safety. By utilizing an Arduino microcontroller and various sensors, this system continuously monitors the driver’s vital signs and facial expressions. It analyzes parameters such as eye blink patterns, head movements, and heart rate to accurately identify signs of drowsiness. Upon detecting drowsiness, the system promptly alerts the driver through alarms or visual cues, prompting them to take necessary actions to prevent accidents. This project serves as a vital tool in reducing road accidents caused by driver drowsiness, ensuring safer journeys for all. This project presents the design and implementation of an Alcohol Detection with Engine Locking for cars using Arduino UNO as the MCU (Master Control Unit). The system will continuously monitor level of alcohol concentration in alcohol detection sensor and thus turn off the engine of vehicle if the alcohol concentration is above threshold level. The model will also send the message of whereabouts of the vehicle through SIM900A. The project provides an efficient solution to control accidents due to drunk driving Key Words: Arduino UNO, Sensor Fusion, Real time monitoring, MQ-3 sensor, GPS module, GSM module, Telematics.

THE DEVELOPMENT OF AUTOMATIC CIGARETTE SMOKE DETECTION SYSTEM USING TA12-100 AND MQ-135 SENSORS

Indonesia is ranked 3rd with the highest number of active smokers in the world after India and China. Cigarettes contain more than 4000 chemical compounds that are harmful to active smokers and passive smokers. The large number of active smokers in Indonesia also has an impact on passive smokers where passive smokers also inhale cigarette smoke. The purpose of this research is to build an automatic cigarette smoke detector to support air hygiene control, protect passive smokers, and save electricity used. The stages in designing this research include analysis of product specifications, assembly, programming, and trials. This study was designed using Arduino UNO as the microcontroller, the MQ-135 sensor as a tool to detect cigarette smoke, the TA12-100 sensor to calculate electrical power consumption, the relay as an automatic switch, and the exhaust fan as a smoke neutralizer. The results of this study are that the MQ-135 sensor can detect cigarette smoke properly with the Relay as an automatic switch that functions to turn on the exhaust fan automatically. Based on the test results on the TA12-100 sensor, the consumption of electrical energy with an automatic mechanism is more efficient than the consumption of electrical energy in a manual way, with a difference of 0.0000385 kWH and Rp. 0.05205. Future research could focus on developing a more complex system for overall air cleanliness control, rather than just focusing on cigarette smoke detection.

RANCANG BANGUN SMART CLOSED HOUSE PADA PETERNAKAN AYAM BROILER

This research aims to enhance the growth performance of broiler chickens through the implementation of a smart closed house system. The prototype coop, with dimensions of 150 cmx 80 cm x 50 cm, has been successfully realized by integrating DHT22 and MQ135 sensors withexhaust fan and water pump actuators. The system is controlled by ESP32 DEVKIT, Long Range(LoRa) communication, and the Internet of Things (IoT). Collected data is sent to the Firebaseand can be accessed through an Android application. Testing demonstrates that the sensors andactuators operate according to changes in temperature, humidity, and ammonia gas conditionsinside the coop. LoRa communication testing involves sending sensor data (temperature,humidity, and ammonia gas) at distances of 1, 10, 100, 300, 500, and 600 meters. From thetesting of LoRa transceiver data transmission, a character loss percentage of 0% is observed at10 meters, while at 100 meters, there is a character loss percentage of 17.64%. Integration ofdata into Firebase is successful and displayed through the MIT App Inventor application onAndroid devices. Testing of chicken weight data indicates an increase in broiler chicken weight inthe smart closed house coop compared to secondary data from conventional closed house coops.The testing period spans from day 7 to day 21 of the chicken's age. The highest recorded weightis 1031 grams, with the average weight for all chicken samples at the age of 21 days being 940grams, 2.84% higher than the standard data from conventional closed house coops.

Sensorsync auto: Integrating IoT sensors for smart vehicle air quality monitoring

This project introduces an innovative Air Quality Monitoring System based on IoT technology, leveraging components such as NodeMCU, DHT11, MQ135, a buzzer, an LCD, and the Blynk 2.0 app. The primary objective is to provide real-time monitoring of environmental conditions, encompassing temperature, humidity, and air quality, while also offering audible alerts for immediate user notification. The NodeMCU functions as the central microcontroller, interfacing with the DHT11 sensor for temperature and humidity readings and the MQ135 sensor for air quality measurements. The collected data is visually displayed on a 16x2 LCD screen. Additionally, the system enables remote monitoring and control through the Blynk 2.0 app. The app displays comprehensive information using gauge widgets for temperature, humidity, and air quality, along with detailed statistics through a display widget. To enhance user awareness, an integrated buzzer delivers audible alerts when air quality exceeds predefined thresholds. The Arduino sketch incorporates essential libraries for sensor interfacing, data processing, and seamless integration with the Blynk app. The app is configured with widgets corresponding to virtual pins in the sketch, ensuring smooth communication between the hardware and the app. This IoT-based Air Quality Monitoring System serves as a valuable tool for individuals and communities concerned about indoor or outdoor air quality. The system's features, including real-time data visualization, remote monitoring capabilities, and an alert system, contribute to creating a more informed and healthier living environment.

Developing of Tomato Distribution Process Monitoring System Using Internet of Things (IoT)

Technological developments are used to provide product quality assurance and provide goods and services to consumers. Product quality is a condition related to the product, where the product could meet the needs and satisfaction of consumers. Product quality assurance, could be supported from raw materials, processes to distribution. This condition requires a tool that is able to control or monitor agricultural products by utilizing technology, namely the Internet of Things (IoT) using temperature, humidity, vibration, carbon dioxide (CO2) sensors and GPS that is able to show the location when the distribution process takes place in real time. The purpose of this study was to design and performance monitoring tools for temperature, humidity, vibration, carbon dioxide (CO2) and location during the distribution process. The results of the field test showed that the GPS sensor was able to show the location in real time according to the delivery route. The results of recording the highest temperature data was 30.8°C and the lowest temperature was 27.8°C, while the lowest humidity was 80% RH and the highest was 94% RH. The recording results from the SW-420 sensor showed that 51.04% for small vibration, 19.79% for medium vibration, and 28.64% for large vibration. The recording results from the MQ-2 sensor was able to show the carbon dioxide value around the tomatoes, with the lowest carbon dioxide with the value of 10% and the highest with the value of 23%.

PEMANTAUAN KEBOCORAN GAS DAN PANAS UDARA DENGAN METODE FUZZY BERBASISKAN IOT

The fuel commonly used by people for daily needs is Liquefied Petroleum Gas (LPG). LPG leaks can occur in closed spaces with temperatures above 30℃ because they contain very dangerous propane and butane compounds. If there is no early warning, the gas cylinder can expode and cause a major fire. The proposed model is capable of displaying gas concentrations and air heat (temperature and humidity) and reporting via telegram using the fuzzy mamdani algorithm. The aim of the research is to design a model for monitoring gas leaks and air heat. The sensors used in this system are tehe MQ6 sensor for gas detection, DHT22 for temperature and humidity detection, fire sensor, and nodeMCU as an Internet of Things-based processor using the fuzzy logic method. This system will turn on fan, buzzr and send a warning to telegram automatically when conditions are unsafe and dangerous. The conclusion of the research is that buzzer warning and telegram notifications make it easier for users to identify gas leaks so they can take immediate action

Review on Smart Helmet for Accident Prevention Using IOT

Abstract: Detecting and preventing drunk driving is of paramount importance as it has the potential to reduce accidents caused by alcohol impairment. Ongoing research is dedicated to developing techniques that can identify alcohol levels leading to unconsciousness, impairing a person's ability to function, walk, and make sound judgments. This research primarily leverages the capabilities of electronics and automotive componentsand concepts. Various devices are being explored, suchas different sensors from the MQ series and facial expression recognition systems. Among these, the MQ-3 Sensor has shown promise in the field of electronics for detecting alcohol concentration in individuals. Long- term environmental implications of these drink and drive detection technologies are being meticulouslyexamined. This study aims to enhance our understanding and explore the commercial viability of these detection techniques in the realm of safety precautions

The design of carbon monoxide gas control systems in rooms based on IoT

The increasing use of air-conditioned rooms in public entertainment venues but allowing visitors to smoke indoors makes some visitors feel uncomfortable. This final project aims to be able to design a carbon monoxide gas control device and carbon monoxide gas monitoring using IoT technology. The methodology for making this tool involves literature study methods in national journals and internet searches regarding projects that have been made before. Then identify problems in the field so that improvements can be made in tool design. In this tool, air content readings use the MQ-135 sensor to detect gas levels. Control uses the Ardiono Uno microcontroller as the data processing center, the ESP 8266 nodeMCU as the data sender to the application. From several experiments it was concluded that the tool operated as expected. It can be seen from the experimental data that the MQ-135 sensor works accurately in detecting the air quality levels in the room. It starts when the sensor detects air levels and then the reading results become input to start activating the relay for on/off the exhaust fan and also perfume, which will be active to neutralize the air in the room. The buzzer will activate when the reading value reaches the programmed gas level. The sensor reading value that is read will then appear on the LCD and also on the Blynk application.

RANCANG BANGUN PERANGKAT RUMAH CERDAS PENCEGAHAN KEBAKARAN BERBASIS IOT

Various technologies, including the Internet of Things (IoT), aim to streamline system functionalities. IoT finds application in diverse sectors, notably Smart Homes, enhancing household tasks and bolstering security via internet-connected devices. This study investigates IoT's utilization in detecting different types of smoke—combustion smoke from various sources like cigarettes, paper, and gas. The trials involved testing the MQ2 sensor's efficacy in detecting smoke at varying distances. In testing this device the author conducted several trials on several types of combustion smoke, cigarette smoke, paper combustion smoke and gas. In these trials, the authors obtained several tests of distance differences in detecting smoke using the MQ2 sensor. The devices made in this study have been adjusted to the purpose of the study. The important conclusion of this study is the need to understand the specifications of the device at the beginning of the study, so as not to use 2 (two) microcontrollers

INTERNET OF THINGS-BASED AIR QUALITY ANALYSIS FOR MONITORING CO2 CONCENTRATION IN ROOFTOP BUILDING AREAS

This research aims to comprehend the air quality in rooftop areas in the city of DKI Jakarta, renowned for its high population density and rapid infrastructure development. The main focus is on the concentration of carbon dioxide (CO2) in the roof area, serving as an indicator of air quality influenced by air pollution, industrial activity, and heavy transportation. The utilization of Internet of Things (IoT) technology and CO2 sensors proves to be an effective solution for real-time monitoring of CO2 concentrations. This research holds significance for air pollution control measures, providing insight into the impact of rooftop gardens in reducing CO2 emissions and inspiring future research in the realms of air quality and IoT technology. Through prior literature, three notable studies underscore the industrial and technological impact of CO2 monitoring. The research was conducted in two locations in DKI Jakarta, namely the Garden Roof and Ordinary Roof areas. Monitoring took place over four parts of the day with a four-hour interval to compare CO2 levels. The tools employed included the NodeMCU ESP8266, DHT-22 sensor, and MQ-135 sensor. Results revealed that roof areas with gardens exhibited lower average CO2 levels (295 PPM) compared to regular roofs (360 PPM), indicating the potential of garden roof designs to reduce CO2 concentrations. Research recommendations include increasing the frequency of data collection and considering additional factors for a more comprehensive understanding of urban air quality.

Design of Arduino-based LPG Gas Leak Detection Tool using MQ-6 Sensor

LPG (Liquefied Petroleum Gas) is a natural resource that has increased yearly consumption. LPG gas is used almost every time for human life in the household and industry sectors. LPG gas, besides being cheap, is also easier to use. However, the increasing use of LPG gas also increases the risk of fire or gas collection caused by LPG gas leaks. Therefore, a tool is needed to detect LPG gas leaks. So an LPG gas leak detector was made using the MQ-6 sensor, which can detect LPG gas leaks, and using a blower fan to overcome the collection of gas levels around LPG gas cylinders, using a buzzer as an alarm, using a servo to turn off the electricity so that an explosion does not occur, and use spray foam to spray onto the tube and stove if the blower cannot handle the LPG gas leak. Overall, the design components are controlled by Arduino Uno R3. This testing process takes an average of 9.56 seconds. If it is less than 9.56 seconds, then only one action is enough: the blower fan, active buzzer, and pump 1. If it is more than 9.56 seconds, the second action will be continued: spraying foam and turning off the electricity. On the other hand, there is an opportunity to bring this tool to commercial. Many households need this tool to save their house from fire threats. Finally, this tool can be a development tool for solving an incident from gas and will be a best-selling tool.

AeroSense Monitor Integrasi Sensor DHT11 dan MQ135 untuk Pemantauan Kualitas Udara Berbasis Arduino Uno

Clean air is a basic necessity, but air pollution in Indonesia's major cities has increased significantly. The lack of air quality monitoring facilities in certain areas leads to a lack of public awareness of air pollution levels, which can adversely affect health. As a solution, the development of AeroSenseMonitor, an Arduino Uno-based air quality monitoring tool with DHT11 and MQ135 sensors, is proposed. This tool is expected to provide accurate information on air quality, enabling people to take preventive measures and protect their health. By raising awareness of the importance of clean air, it is hoped that the AeroSenseMonitor can be the first step in addressing the negative impacts of air pollution in Indonesia.

Design and Manufacture of LPG Gas Leak Detection Based on Arduino Uno Using MQ-2 Sensor

Aims: To design and manufacture LPG gas leak detection tool that is more efficient, relatively cheaper and can be carried because it has a smaller shape and size compared to tools on the market
 Study Design: Design of LPG gas leak detection based on Arduino Uno using MQ-2 sensor.
 Place and Duration of Study: Physics Study Program, Faculty of Mathematics and Natural Sciences, Universitas Udayana, from June 2023 to October 2023.
 Methodology: The trial and error method is used to calibrate the designed tool with standard tools. Calibration is done by comparing the distances value of the LPG gas leak detection using MQ-2 sensor and the calibration standard tool. The relationship between the measurement values of the design tool and the standard tool is determined using linear regression method to obtain a correction equation.
 Results: LPG gas leak detection based on Arduino Uno using MQ-2 sensor have been produced. The measurement accuracy obtained 97.97%. The accuracy value indicates that the resulting tool has a good level of accuracy to the standard tool.
 Conclusion: In this research, has been produced LPG gas leak detection more efficient, relatively cheaper and can be carried because it has a smaller shape and size, low-cost with high accuracy.

Analysis of automation through sensors through gas sensors in different directions

The MQ2 and MQ4 sensors are highly popular gas sensors utilized in a wide range of applications for the detection and measurement of various gases. Renowned for their simplicity, affordability, and ease of use, MQ sensors have become a preferred choice among hobbyists, students, and professionals. In this article, we will delve into a comprehensive comparison between these two types of gas sensors, aiming to unveil the desired outcomes. In conclusion, the MQ2 and MQ4 sensors are widely recognized for their simplicity, affordability, and ease of use in detecting and measuring various gases. While the MQ2 sensor is versatile in its gas detection capabilities, the MQ4 sensor specializes in methane gas detection. Both sensors display commendable levels of sensitivity, stability, and repeatability, guaranteeing accurate and dependable gas measurements. By conducting a thorough comparison of these gas sensors, we have shed light on their unique features and functionalities, facilitating informed decision-making for potential users.

Design and Manufacture of LPG Gas Leak Detection Based on Arduino Uno Using MQ-2 Sensor

Design and Manufacture of LPG Gas Leak Detection Based on Arduino Uno Using MQ-2 Sensor

Enhancing Gas Leak Detection with IoT Technology: An Innovative Approach

The presence of a natural gas leak within a household carries the potential for fires and poses a risk of natural gas poisoning. Similar to how we approach other hazardous energy sources such as electricity and gasoline, it is crucial to exercise caution when dealing with natural gas exposure. To prevent potential hazards and dangerous situation, identified a smart gas detection system for rapid and accurate detection of gas leaks. The proposed gas leakage detection system combines advanced sensor technology, real-time monitoring, and automated alert mechanisms to ensure timely identification and response to gas leaks. The MQ2 sensor helps in detection of gas leakage. The MQ2 sensor possesses the capability to detect a wide range of gases, including methane, propane, carbon monoxide, and hydrogen. This versatility makes it an invaluable tool in ensuring safety and protecting against potential hazards and early identification of gas leaks. The collected data is analyzed using sophisticated algorithms to distinguish between normal background gas levels and potential leaks. NodeMCU, equipped with its Wi-Fi capabilities, functions as the central control unit of the system. The NodeMCU gathers real-time data from the gas sensors, constantly monitoring gas levels. It processes this data and sends it to the cloud or a central server using its internet connection. The system's ability to monitor in real-time ensures that any gas leaks detected are quickly reported to the relevant personnel or authorities through automated alerts. The fast notification system allows for quick actions, reducing the risks of accidents, saving lives, preventing property damage, and mitigating harm to the environment.

IoT Based Public Transportation Accident Prevention with Driver Alcohol Detection and Smoke System

In Nigeria, 1,834 deaths were recorded from 3,345 road accidents between January and March 2022, according to the National Bureau of Statistics (NBS), underscoring the critical need for improved road safety measures. This study proposes an IoT-based system designed to prevent accidents in public transportation by addressing two major risk factors: alcohol-impaired driving and smoking while driving. The system utilizes MQ3 and MQ2 sensors for alcohol and smoke detection, respectively, which are installed within the vehicle interior. These sensors are connected to a central control unit that processes data in real-time. Upon detection of alcohol or smoke, the system triggers visual and auditory alerts, deactivates the vehicle’s engine, and sends notifications to the relevant transportation authority. The architecture of the system ensures seamless data communication, allowing for remote monitoring and control. The findings demonstrate the potential of IoT-driven solutions in reducing road accidents and underscore the importance of integrating sensor technology, real-time data processing, and wireless communication for next-generation accident prevention.

Airsense - Air Quality Monitoring

This paper basically aims to measure the indoor air quality by making use of two prominent sensors namely the DHT11 sensor which is used to measure the temperature and humidity and the MQ135 sensor which is used to detect harmful gases in the air such as Ammonia, CO2, CO, Nitrogen oxides, alcohol, smoke. The sensor allows us to determine the values of various gases in the house and classify it as good, bad, poor or toxic. This allows us to be alert and take necessary course of action to make the household a better and safer place to reside. This setup uses an Arduino uno as the microprocessor to perform necessary calculations. The data is then captured to the host system serially and is used for data visualization in Realtime using python and its various libraries.

The Effectiveness of Exhaust Fan Rotation with Microcontroller for Indoor CO2 Gas Concentration Control System

A dangerous gas that is harmful to human health and is generally found in the room is carbon dioxide (CO2) gas, which is produced from the accumulation of cigarette smoke. In order to overcome the CO2 gas concentration in the room, it is necessary to develop a device that can control the CO2 gas concentration in the room and that processes the CO2 gas detection results from the MQ-2 sensor. In this research, a device simulation was created that can control the CO2 gas concentration produced by accumulated cigarette smoke in a simulation room measuring 15 cm long, 20 cm wide, and 15 cm high with two CO2 gas release ventilation holes, each with a diameter of 3.5 cm, using the exhaust fan rotation and a microcontroller type Arduino UNO as the control unit. The effectiveness of using a microcontroller of the type Arduino UNO to process the CO2 gas detection results from the MQ-2 sensor can be seen in how the exhaust fan works to release CO2 gas from the simulation room. From the results of this research, it can be seen that the effectiveness of the exhaust fan rotation in controlling the CO2 gas concentration detected by the MQ-2 sensor looks good where the CO2 gas concentration can be controlled under 350 ppm.

DEVELOPMENT OF A PORTABLE MOTOR VEHICLE EMISSION TEST SYSTEM BASED ON ARDUINO WITH ANDROID INTERFACE

This study takes a comprehensive approach by proposing the design of an innovative emission test tool for motorized vehicles. The primary objective of this tool's design is to establish an alternative emission testing apparatus based on Arduino AT-Mega 2560, proficient in capturing vehicle exhaust emissions. The underlying methodology involves an in-depth investigation of various components, including the MQ2 and MQ7 sensors, microcontrollers, and supplementary sensors. This meticulous observational process aims to unravel the fundamental principles that govern the functionality of these components. Subsequently, the study advances to the prototyping phase, manifesting in the creation of an Android-based emission test system. This system capitalizes on the integration of Arduino programming and App Inventor technology. The integrated system is devised to facilitate sensor data acquisition. The empirical results of the tests indicate that the developed tool effectively measures hydrocarbon gas and carbon monoxide gas concentrations, yielding readings of 6.31% and 3.73%, respectively, under engine conditions ranging from 1500 to 3000 rpm with error in regions 1.4% and 5.1% compared to a commercial instrument. However, during the testing phase, certain challenges surfaced. Notably, the presence of water particles within the tool, coupled with the generation of heat due to the accommodated exhaust gases, increased the temperature within the tool's enclosure. Consequently, the sensors' temperature escalated, resulting in erratic sensor behavior and unstable readings. Nonetheless, a significant advantage of the proposed tool lies in its real-time data visualization capability, which is particularly accessible through Android smartphones. This feature enhances the immediacy of test results, facilitating prompt analysis and decision-making. In conclusion, this study lays the groundwork for an innovative emission testing tool that demonstrates promise in addressing the air quality degradation stemming from vehicular emissions.