MQ2 Sensor Research Articles

Expiry Prediction and Reducing Food Wastage using IoT and ML

This paper details development of a low-cost, small-size, and portable electronic nose (E-nose) for the prediction of the expiry date of food products. The Sensor array is composed of commercially available metal oxide semiconductors sensors like MQ2 sensor, temperature sensor, and humidity sensor, which were interfaced with the help of ESP8266 and Arduino Uno for data acquisition, storage, and analysis of the dataset consisting of the odor from the fruit at different ripening stages. The developed system is used to analyze gas sensor values from various fruits like bananas and tomatoes. Responding signals of the e-nose were extracted and analyzed. Based on the obtained data we applied a few machine learning algorithms to predict if a banana is stale or not. Logistic regression, Decision Tree Classifier, Support Vector Classifier (SVC) & K-Nearest Neighbours (KNN) classifiers were the binary classification algorithms used to determine whether the fruit became stale or not. We achieved an accuracy of 97.05%. These results prove that e-nose has the potential of assessing fruits and vegetable freshness and predict their expiry date, thus reducing food wastage.

PERANCANGAN ALAT MONITORING KUALITAS UDARA SECARA REAL-TIME DI KAWASAN PASAR BUNGO

The market area in Bungo Regency is an area with community activities and a high number of vehicles so that it has an impact on the air quality around the area. This study aims to design a monitoring tool as a cost-effective facility in order to monitor air quality as a first step to minimize air pollution in the Bungo market area. Air quality is assess through temperature and humidity measured using the DHT11 sensor, smoke levels in the air are measured using the MQ2 sensor, and light intensity is measured using the LDR module.

Pressure measurement algorithm of LPG leakage using MQ6 sensor and GSM SIM900 for smart home

In its use, LPG gas itself has disadvantages, namely flammability because it is a hydrocarbon, namely propane and butane. LPG gas storage areas also have to use a strong and leak-free tube. Because if the gas storage tube leaks, when it is used it will easily ignite and explode. LPG gas must meet several special requirements in order to be safe for use in the sense that it does not endanger the user and does not damage the equipment used and is efficient in its use. Reducing the risk of material loss and casualties due to gas cylinder leaks, a gas leak detection system is needed which can later be used as a safety system or a warning against gas leaks in the hope that users can respond quickly to gas leaks in their environment. alone. The warning that is given can be in the form of a short message or an alarm that can alert the user. The purpose of this research is to first create a Pressure Measurement Algorithm for LPG gas leakage using the MQ6 sensor and GSM SIM 900A for Smarthome. The second is to design an Arduino-based gas leak notification using the SMS Gateway. The method used in this research is the experimental method, which is a method that is generally used in laboratory research, and the second is the prototype method, in which device changes are made many times until the goal of the device to be developed is achieved. The results of this research are the first to produce an algorithm for measuring the pressure of LPG gas leakage using the MQ6 sensor which can be applied to the Smarthome, testing this algorithm using a board on the Arduino microcontroller which is connected directly to the MQ6 sensor as an input medium. After the embedded gas leak pressure measurement algorithm is carried out on the MQ6 sensor, it functions as a sensor that only detects LPG, propane, butane and the like. In the results of trials that have been carried out by going through 4 stages of testing, this detector will be more optimal in detecting gas leaks at a distance of 5 cm. The second is to produce arduino-based gas leak notification information by using the SMS Gateway. This tool is also equipped with a GSM SIM 900A module which functions as an SMS gateway, so that if a gas leak occurs, the GSM SIM 900A can be a medium for connecting the user's mobile device. to provide information via SMS, the better the quality of the network available, the faster the notification will be sent.

Design of a Prototype of Smoke Exhaust Control System in an Enclosed Room with the Fuzzy Sugeno Method

Cigarette smoke can contaminate indoor air that causes some health risks. Smoke control in enclosed rooms is necessary to reduce the thick smoke in them by controlling the CO content index to the desired point. The purpose of the study, knowing the grouping of the density of smoke and the time in disposing of smoke to the point of a predetermined setpoint value of 60 ppm. This research applied the Fuzzy Logic Sugeno Method and hardware design using a prototype in the form of an acrylic box with a ratio of 1:10 of the actual size as a tool test site; LCD to display information, namely, in the form of smoke density, fan, setpoint value, and smoke value; MQ2 sensors for CO smoke detection; Arduino Nano as a microcontroller; and relay and fan as output. The experiment results resulted in 3 categories of smoke: low, medium, and high. Besides, the results of this study also showed that the time required to emit smoke in a closed room to the point of a setpoint value of 60 ppm with the help of 3 fans on each fan 12v / 0.14A is 2 minutes 05 seconds.

Measurements of Flammable Gas Concentration in Landfill Areas with a Low-Cost Sensor

Global warming, as the result of the negative impact of humans on climate change, has been observed based on various data sources. Various measures have aimed to reduce anthropogenic factors, and also to lower carbon dioxide (CO2) and methane CH4 emissions. One of the main contributors to anthropogenic factors is organic waste in municipal solid waste landfills. There are many landfills where cost-effective rapid technologies for the identification and quantification of CH4 emission sites are not applied. There is still a need for the development of accessible and cost-effective methods that react in a real-time manner for the rapid detection and monitoring of methane emissions. This paper’s main goal is to create a prototype sensor suitable for operational measurement of the gas value, suitable for integration into geodetic equipment or an unmanned aerial vehicle system. A sensor system (device) was developed, which consisted of three semiconductor sensors—MQ2, MQ4, and MQ135—which aimed to capture flammable gases (CO2, CH4, O2 purity) and to evaluate the averages of the measured values from the components mounted on the board—the semiconductor sensors. The sensors were calibrated in a laboratory and tested in a closed landfill. The measurement data consisted of the read resistances (analog signal) from the MQ2, MQ4, and MQ135 sensors, and the relative humidity and the temperature (digital signal) of the DHT2 sensor with a timestamp calculated by the RTC module. The use of the method was confirmed because the sensors reacted as expected when placed in the vicinity of the gas collection well. Furthermore, the sensor will be tested and improved for field work in landfill sites.

IOT BASED SOUND AND AIR POLLUTION MEASURING TEMPERATURE AND HUMIDITY MONITORING SYSTEM

Now a day in metropolitan cities air and sound pollution becomes serious issues, because of high decibels and toxic gases present within the environment which directly effect on human health and thus needs a special attention. Therefore, it's now become necessary to regulate the pollution (air and noise) to ensure healthy livelihood and better future. In this paper, an efficient implementation for Internet of Things is employed for monitoring atmospheric conditions of environment like air pollution and noise pollution. And also we monitor The Temperature and Humidity. Using MQ7 sensor for sensing Carbon Monoxide (CO) and MQ135 gas Sensor for detecting wide range of gases, including NH3, NOx, alcohol, benzene, smoke and CO2.constantly transmit this data. Also, system keeps measuring sound level using MIC sensor and reports it. DHT11 sensor consists of a capacitive Humidity sensing element and Thermistor for sensing Temperature. Soil moisture is the amount of water in the soil. Soil moisture monitoring system that helps the govt authorities to understand the data about dry soil areas within the agricultural lands within a village, town or maybe a state so that the required precautionary steps will be taken to create such lands fertile.

Design of Device for Detecting Alcohol Content in Perfume Using the MQ-3 Sensor: Case Studies on Various Perfume Brands

Perfume oils have become a popular consumer product worldwide. The use of perfume oil is not only related to a personal need to smell good, but is also part of one's culture and identity. One of the main components in perfume oil is alcohol, which serves as a solvent to transport and evaporate fragrances. Alcohol is a common ingredient used in the manufacture of perfumes and can affect the quality and characteristics of the fragrance. Therefore, it is important to monitor the level of alcohol in perfume. In this research, we designed and developed a device for detecting alcohol content in perfume using the MQ-3 sensor. The main objective of this research is to obtain accurate data on alcohol content in various perfume brands on the market. This research consists of several stages. First, we selected and collected various perfume brands as samples. Then, we designed an electronic circuit consisting of an MQ-3 sensor, an Arduino microcontroller, and an LCD brightness module as a display interface. The results showed that the designed detector was able to measure the alcohol content in perfume with sufficient accuracy. In our case study, we found variations in alcohol content between different perfume brands. The result of the measurement is that the farther the measurement distance, the smaller the value of the sensor reading. Every vulnerable distance of 1cm has a difference of 45% - 50%.

Sensor Based Industrial Kitchen Foodstuffs Monitoring System

Artificial Intelligence based foodstuff monitoring system is used for inventory management in industrial kitchens, restaurants, canteens, vegetable stores and so on. If the store keeper is not available to monitor the grocery and orders, the process will be risky. The proposed method considers the level estimation detection using ultrasonic sensor and if the container is empty then the information is sent to the store keeper. By this method, the intimation about availability of specific food item can be found and items not available can be ordered for purchasing. The DHT11 sensor is used to monitor the humidity and temperature inside the container, if any of these two is high then the notification will be sent. Decomposed organic items are identified by MQ3 sensor based on detection of alcoholic gas produced by organic items. The sensors data such as grocery level, humidity, temperature and decomposition range of organic items are collected from the corresponding smart container. This data transaction happens via micro controller known as Node MCU. The level of the groceries present, and spoiled organic items can be identified and mail notification can be triggered in the early stage with the help of mobile application called IFTTT.

Real Time System Monitoring and Analysis-Based Internet of Things (IoT) Technology in Measuring Outdoor Air Quality

The presence of large peatland in Riau, Indonesia, could cause air pollution due to peatland fires which causes the presence of thick smoke every year in Riau, dis-rupting human activities. In order to monitor the air quality, in this paper, the main advantage of the Internet of Things (IoT) is the ability to transfer data over the network without requiring human-to-human or human interaction to the com-puter used. In this paper, we propose an air quality monitor that can display web-based information to show the temperature and air humidity, and detects CO, CO2 gases, and alcohol in real time with the help of DHT11 and MQ135 sensors, Arduino Uno and Raspberry Pie. The results show our proposed system can successfully show each parameter of the air quality on the website and make suggestions about the overall air quality level. With our proposed system, we hope the government can respond faster to mitigate the bad air quality level and give information to public about the air quality level in a faster and more accurate way.

Real Time Factory Smokes Monitoring System Using Android Smartphone

Owing to widespread deforestation and the rapid growth of modern plants, we can see and experience a lot of air that is no longer what it once was. Carbon Monoxide (CO), which is generated by residual combustion in industrial plants and emitted through factory chimneys, is one of the factors that contribute to air pollution. This study was designed to help the government monitor Carbon Monoxide (CO) levels more efficiently because it can be done at any time in real time using an Android smartphone's media. Furthermore, this research is being conducted to develop simple technology that can be used by parties who need or have an interest in monitoring Carbon Monoxide (CO) levels as well as reducing the number of emissions in the local area. The results showed that the MQ-7 sensor on the monitoring tool could detect carbon monoxide levels accurately and had a 0.72 percent error rate when retrieving data several times. The CO meter's sensitivity is equivalent to that of an NDIR (Non-Dispersive Infrared Detector) Analyzer, which is commonly used for measuring and detecting carbon monoxide levels in the air. These findings suggest that this instrument can be used to better monitor carbon monoxide (CO) levels in the air.

Sistem Pendeteksi Kebocoran Liquified Petroleum Gas (LPG) Menggunakan Sensor MQ-2 Berbasis Mikrokontroler

Liquified Petroleum Gas (LPG) is a household need which is currently the most widely used by the community as a fuel other than petroleum. The use of LPG cylinders, which increases every year, is directly proportional to the increased risk of fire caused by gas leaks. Many LPG cylinders circulating in the community today do not use good safety. Therefore, a tool is needed to detect LPG leaks so that people can find out more quickly when there is a gas leak. This system is designed using a microcontroller-based MQ-2 sensor. The MQ-2 sensor functions as a gas leak detector, the buzzer serves as a warning in the event of a gas leak and the SIM800L will send an SMS via the user's smartphone.
 The MQ-2 sensor can detect gas leaks at a distance of 2 meters in a closed room without ventilation. The MQ-2 gas sensor detects gas leaks using a distance that can be influenced by room temperature and the sensitivity of the MQ-2 sensor, so that the MQ-2 sensor produces a non-permanent time even though it is at the same distance. The buzzer sounds when the MQ-2 sensor detects a gas leak. SIM800L can send SMS notifications to smartphones of LPG cylinder owners when the MQ-2 sensor detects a gas leak, but the time it takes to send an SMS is not fixed because it is influenced by whether the network used by the simcard on the smartphone or the simcard on the SIM800L is good or not.

PENGEMBANGAN PERANGKAT IoT MONITORING KUALITAS UDARA DALAM RUANGAN MENGGUNAKAN MIKROKONTROLLER BERBASIS ANDROID

Air quality in a room is a problem that needs to be considered because it can affect human health. Therefore, we need a system that can monitor LPG, CO2, and cigarette smoke levels to determine the value of air quality levels in a room. Air pollution levels can be measured with the MQ-2 sensor to detect levels and an Android-based application as an information viewer. This study aims to build a monitoring application for LPG, CO2, and cigarette smoke levels based on the wireless ESP8266 sensor network in the room. The level monitoring application is built with the Java programming language, Firebase, and Arduino software. The application development stage includes analysis, system design, implementation, and testing. The level monitoring application that is made can display the results of monitoring data. So those users can find out the measurement data of a level that is in a room with a series of sensors used. The result is research on the use of this device can be used as a tool to monitor air quality in a room.

Electronic Nose With Detection Method for Alcohol, Acetone, and Carbon Monoxide in Coronavirus Disease 2019 Breath Simulation Model.

Electronic nose technology may have the potential to substantially slow the spread of contagious diseases with rapid signal indication. As our understanding of infectious diseases such as Corona Virus Disease 2019 improves, we expect electronic nose technology to detect changes associated with pathogenesis of the disease such as biomarkers of immune response for respiratory symptoms, central nervous system injury, and/or peripheral nervous system injury in the breath and/or odor of an individual. In this paper, a design of an electronic nose was configured to detect the concentration of a COVID-19 breath simulation sample of alcohol, acetone, and carbon monoxide mixture. After preheating for 24 hours, the sample was carried into an internal bladder of the collection vessel for analysis and data was collected from three sensors to determine suitability of these sensors for the application of exhaled breath analysis. Test results show a detection range in parts-per-million within the sensor detection range of at least 10–300 ppm. The output response of an MQ-2 and an MQ-135 sensor to a diverse environment of target gasses show the MQ-2 taking a greater length of time to normalize baseline drift compared to an MQ-135 sensor due to cross interferences with other gasses. The COVID-19 breath simulation sample was established and validated based on preliminary data obtained from parallel COVID-19 breath studies based in Edinburgh and Dortmund. This detection method provides a non-invasive, rapid, and selective detection of gasses in a variety of applications in virus detection as well as agricultural and homeland security.

Rancang Bangun Alat Penanganan Dan Pengendalian Kebakaran Berbasis Arduino Nano Dengan Si stem IoT

This will be very useful for residents of the house to prevent what can cause a fire incident. In the main research, system design will make a fire detector and smoke and gas detector, using 3 Flame Sensors and 3 MQ-2 Sensors. This design concept will be installed in each room which consists of 3 rooms. The microcontroller used in this design system is an Arduino Nano microcontroller which functions as part of the Flame Sensor controller, MQ-2 Sensor, WeMos D1 Mini, Relay, and Buzzer. Furthermore, the system output uses a Flame Sensor which is already in a HIGH state so that it can activate automatic shutdown, and the tool can submit a notification to the occupants of the house via an android application called Blynk and an alarm sounds. If the implementation of the MQ-2 Sensor is in a HIGH state, the system will provide warning instructions in the form of a notification from the android and an alarm will sound for the occupants of the house. So that the residents of the house will be prepared to take action to extinguish the fire in the house.
 Keywords : Fire, Flame Sensor, MQ-2 Sensor

Deteksi Kadar Alkohol Menggunakan Sensor MQ3 Berbasis Website

According to the Head of the Indonesian National Police (Kapolri) General Idham Azis, the number of deaths from accidents that occurred in 2019 reached 23,530. A total of 40% of the deaths from traffic accidents are caused by human error and the influence of alcohol. The high number of deaths from traffic accidents due to the influence of alcohol is a concern for all of us. Excessive alcohol consumption is dangerous when driving because consuming alcohol will affect a person's temperament and worsen driving behavior by reducing awareness, leading to accidents. A system that is able to detect the alcohol level of a vehicle driver that can be monitored anywhere is needed, as information to alert motorists to the influence of alcohol in order to prevent traffic accidents online and on a web-based basis. Using the MQ-3 sensor for alcohol detection and the ESP8266 processor in WeMos WiFi. The average percentage error in the measurement of the measured sample was found to have an error value of: 3.6%. Research has also succeeded in reading alcohol levels through websites.

Wireless Sensor Network Design Using Multihop Based on Arduino and NRF24L01+

The development of communication networks is very useful in daily activities such as wireless data communication, monitoring and system security. In this case, a wireless sensor network technology is known, which is very suitable when applied to a system with a large number of nodes and spread over a large enough area at a low cost. This wireless sensor network is a wireless communication network that supports communication between sensor nodes in a considerable distance by placing several sensors in an area. Generally, this Wsn consists of a sensor node and a server node in the form of a personal computer. The data from the reading of the CO gas value will be sent directly from the sensor node to the node server. This device is built using the nRF24L01 module and the CO gas sensor using the MQ-7 sensor. This wireless sensor network communication system is built using multihop. From the activities it can be concluded that the success of sending data is influenced by the distance and number of nodes working on a topology, with the amount of data sent which is influenced by long distances and the large number of nodes, not all data is successfully received because of the large number of data collisions from each node.

A study on the Efficacy of Alcohol Detection in the prevention of Drunken Driving

Accidents on roads due to drunken driving have become increasingly common. We have developed a device which can prevent the accidents that occur due to drunken driving by stalling the vehicle. We are using the (MQ-3) sensor which can detect alcoholic content from the driver’s breath. The Arduino NANO board is very flexible and can be programmed to the MQ-3 sensor’s sensitivity requirements which in turn can actuate the relay to break the circuit which connects the starter motor and the battery, thereby stalling the vehicle. This circuit is quite compact and be integrated in all types of vehicles.

IoT based air quality measurement and alert system for steel, material and copper processing industries

Abstract The air quality of industry gets affected due to the industrial processing like heating of metals such as steel, copper. The burning and processing alters the level of NitrogenDioxide (NO2), Carbon Monoxide (CO), Carbon Dioxide (C02), methane (CH4), and Liquid Petroleum Gas (LPG). The each parameter in the air has to be maintained in safe level. If safe level is not maintained makes discomfort to the human health. The existing methods are measuring the air quality and display it at same station which may handle with less care. The proposed method consists of MQ2, MQ3, MQ6, and MQ9 sensors used to measure CO, CO2, NO2, and CH4 &LPG levels. The sensor gives the analog output. The proposed method uses the Arduino Nano - ATMEGA 168 based controlled to handle the analog sensors. The analog quantity is converted into digital value and which compared with safe limit value by the controller. The measured value is updated in cloud server- web based and Mobile application. The emergency alarm is fixed in the instrument in sound and light form to alert the workers. The device is tested in air polluted industry. The device showed the CO level as 525 PPM, NO2 level as 56 PBP, CO2 level as 164PPM, and mixed gas as 154PSI. The device notified CO level is high. The output is observed in cloud and mobile application.

RANCANG BANGUN PROTOTIPE PEMANTAU KEBOCORAN GAS MENGGUNAKAN SENSOR MQ-6 BERBASIS NodeMCU 8266

Liquefied Petroleum Gas (LPG) leak detection and monitoring system is a step to anticipatethe danger of gas leaks. BPBD data for 2016 - 2020 fires due to LPG gas leakage are 50 cases,handling is still manual. The design of this prototype uses the Arduino NodeMCU 8266 module as themain controller. The sensor used by the MQ-6 sensor is suitable for detecting propane and butanegas in LPG. In order for the sensor to work optimally the sensor is set at a distance of 10 cm from thegas source. The prototype uses a solenoid valve which is a valve controlled with AC or DC electriccurrents through the selenoids. Buzzers and notifications via the telegram application complement theoutput of the prototype if a gas leak is indicated. The duration of the notification is sent depending onthe signal strength of the WiFi / provider used, while the duration of the buzzer sounds as long as thedetected gas level exceeds the value of the sensor set. The results achieved in the study, namely thegas leak monitoring prototype using the MQ-6 sensor based on NodeMCU 8266 was very effective.MCU node 8266 can be used to open / close valve electronics automatically. The ideal distance toread the gas leak smoke is 10 cm. The time the notification is sent depends on the signal strength ofthe WiFi / provider used, in this study it was found 80-92 dbm, the duration of the buzzer sounded aslong as the gas level was detected more than 200 ppm.

Determination of fish quality parameters with low cost electronic nose

In the present study, the odour changes of trout, sea bream and sea bass were measured and recorded with Arduino microprocessor compatible MQ3, MQ4, MQ5, MQ8, MQ9 and MQ135 sensors during a week of storage. The odour intensity measured by the sensors were compared with the microbiological and sensory data, and spoilage thresholds were obtained. An electronic nose box was developed, which could quickly detect the quality of 10 g of fish meat placed inside using an Arduino microprocessor. Total viable counts of all test samples defined by the developed box as “Fresh Fish” were found to be were found to be lower than the level of 3 log CFU/g. The results of the study demonstrated that the odour sensors controlled by Arduino microprocessor could be fast, easy and low-cost solutions for determining the food quality parameters.