Relevant bibliographies by topics / MQ135 Sensor

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Academic literature on the topic 'MQ135 Sensor'

Author: Grafiati
Published: 5 June 2025
Last updated: 13 July 2025

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Journal articles on the topic "MQ135 Sensor"

1

Nugroho, Yusuf Cahyo, Alief Arifin Mahardiko, Shafira Salma Dhelia, Afifah Nuraini, and Paulus Harsadi. "Rancang Bangun Sistem Pemantauan Kualitas Udara Berbasis Arduino Untuk Mendeteksi Polusi Udara Di Perkotaan." Jurnal Teknologi Informasi dan Komunikasi (TIKomSiN) 11, no. 2 (2023): 45. https://doi.org/10.30646/tikomsin.v11i2.795.

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Air pollution is a pressing environmental issue that poses significant risks to human health and the environment. To address this issue, the development of a reliable air quality monitoring system is essential. This research focuses on the design and implementation of a monitoring system based on Arduino Uno microcontroller and sensors such as MQ135, MQ136, and DHT11. The system aims to detect and measure air pollutants, temperature, and humidity levels. The Arduino Uno processes the data collected from the sensors and displays the information on the LCD screen. The system provides real-time monitoring of air quality, allowing quick action to be taken to improve the environment. The use of an Arduino Uno microcontroller enables efficient data processing and control of the overall system operation. The MQ135 sensor is used to detect and measure levels of air pollutants, particularly carbon monoxide (CO). The MQ136 sensor, on the other hand, is used to detect and measure levels of certain air pollutants, such as sulfur dioxide (SO2). In addition, the DHT11 sensor is used to measure the temperature and humidity levels in the air. The results of testing carried out 16 times under the condition of good conditions resulted in an average of CO 8.6 and SO2 15,25 where it is included in the high accuracy category.
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Rizal Tabriez Tsaqiefudin, Edi Kurniawan, and Diana Alia. "Perancangan Sistem Pendeteksi Polusi Udara Di Dalam Kamar Mesin Secara Wireless Menggunakan Sensor MQ135 Dan TGS2106 Berbasis Lora Ra-02." Jurnal Kendali Teknik dan Sains 2, no. 3 (2024): 34–49. http://dx.doi.org/10.59581/jkts-widyakarya.v2i3.3250.

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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.
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Talib, Aya Mazin, and Mahdi Nsaif Jasim. "Geolocation based air pollution mobile monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 162. http://dx.doi.org/10.11591/ijeecs.v23.i1.pp162-170.

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Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL server DB. The data is classified using data mining algorithms, presenting the result on a map helps governmental organizations, nature guards, and ecologists to analyze data in real time to simplify the decision making process. The proposed system uses J48 pruning tree classifier generated using cross validation of fold (10) with highest accuracy 100%, while IBK ≈99.67, Naïve bays ≈90.89, and SVM ≈81.4. It’s found that the common air quality for Baghdad (study area) is between (“Good”, “Satisfactory”, and “Moderately”) for 1835 records of air samples during (January and February 2021) time period.
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Talib, Aya Mazin, and Mahdi Nsaif Jasim. "Geolocation based air pollution mobile monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 23, no. 1 (2021): 162–70. https://doi.org/10.11591/ijeecs.v23.i1.pp162-170.

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Air pollution is conducted to harmful substances like solid particles, gases or liquid droplets. More pollutants CO, SO2, NOx, CO2.This research is proposed the design and implementation of mobile, low cost and accurate air pollution monitoring system using Arduino microcontroller and gas sensor like MQ2, MQ131, MQ135, MQ136, DHT22, measuring materials mentioned above, smoke, Acetone, Alcohol, LPG, Toluene, temperature, humidity and GPS sensor”NEO-6M” that track the location of air pollution data, and display the analysis result on ESRI maps. The system also save the results on SQL server DB. The data is classified using data mining algorithms, presenting the result on a map helps governmental organizations, nature guards, and ecologists to analyze data in real time to simplify the decision making process. The proposed system uses J48 pruning tree classifier generated using cross validation of fold (10) with highest accuracy 100%, while IBK ≈99.67, Naïve bays ≈90.89, and SVM ≈81.4. It’s found that the common air quality for Baghdad (study area) is between (“Good”, “Satisfactory”, and “Moderately”) for 1835 records of air samples during (January and February 2021) time period.
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Arkhan, Muhammad ghozi, and Zulhipni Reno Saputra Elsi. "Air Quality Monitoring System Based Internet Of Things." Brilliance: Research of Artificial Intelligence 4, no. 2 (2024): 669–73. https://doi.org/10.47709/brilliance.v4i2.4924.

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This research aims to develop an Internet of Things (IoT)-based air quality monitoring system using the ESP8266 module along with DHT11 and MQ135 sensors. The system is designed to monitor temperature, humidity, and the concentration of harmful gases in the air, with real-time results accessible through the Blynk application on Android devices. The DHT11 sensor measures temperature and humidity, while the MQ135 sensor detects air quality based on concentrations of harmful gases such as carbon dioxide (CO2) and ammonia. Data from these sensors is transmitted to an IoT platform for real-time display. The research methodology follows a prototype model, starting with planning, system modeling, hardware development, and finally, system testing. During testing, the DHT11 and MQ135 sensors demonstrated accuracy in measuring temperature, humidity, and pollutant levels. Results show that the system functions as expected, with sensors responsive to environmental changes such as increases in temperature or pollutant levels. Additionally, the Blynk platform allows users to monitor air quality remotely and receive notifications if air quality reaches hazardous levels. This system is expected to be applicable in environments that require continuous air quality monitoring, such as hospitals, offices, or other enclosed spaces. The study’s findings indicate that this IoT-based air quality monitoring system effectively detects rapid changes in air quality, contributing to environmental health efforts and raising public awareness about the importance of clean air.
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Shiddiq, Minarni, Lentina Br Sitohang, Ikhsan Rahman Husein, Sinta Afria Ningsih, Sri Hermonica, and Annisa Fadillah. "HIDUNG ELEKTRONIK BERBASIS SENSOR GAS MOS UNTUK KARAKTERISASI KEMATANGAN BUAH KELAPA SAWIT." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 10, no. 2 (2021): 170. http://dx.doi.org/10.23960/jtep-l.v10i2.170-182.

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The ripeness of oil palm fruits is one of the key factors for crude palm oil qualities. Recently, electronic nose systems have been developed intensively for fruit quality assessment which relates odors to ripeness levels. This study developed an electronic nose system to characterize the ripeness levels of oil palm fruits using output voltage of each sensor and fruit hardness. The system consisted of a sensor chamber and a sample chamber. The sensor chamber consisted of eight MOS gas sensor modules of MQ series. Samples were oil palm fruits taken from oil palm fresh fruit bunches (FFB) which were previously categorized traditionally into unripe, ripe, over ripe, peeled and put into the sample chamber. Some of the fruits were also used for hardness measurement. To quantify the output voltages for each sensor, integrated trapezoid areas were calculated and related to the fruit hardness values. The results showed a significant voltage difference of each sensor for the three ripeness levels. Only four out of eight sensors showed significantly higher voltages. Three sensors which can significantly differentiate the ripeness levels are MQ3, MQ5, and MQ135 which MQ135 is the best. This shows that the electronic nose is potential for oil palm fruits. Keywords: electronic nose, fruit hardness, MOS gas sensor, oil palm fruit, ripeness
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7

Lambor, Shilpa. "Personalized Weather Station." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5209–13. http://dx.doi.org/10.22214/ijraset.2024.61105.

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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.
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Amaliah, Asma, Sahbuddin Abdul Kadir, Alviany Saldina, and Reski Amelia. "Implementasi Wireless Sensor Network Berbasis LoRa Master Slave." Jurnal Mosfet 5, no. 1 (2025): 95–103. https://doi.org/10.31850/jmosfet.v5i1.3491.

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Long Range (LoRa) is a wireless communication technology using Chirp Spread Spectrum (CSS) that allows for sending low-power long-distance data via the ISM (Instrumentation Science and Medical) band. This study aims to utilize LoRa technology with a Master Slave communication model combined with a Wireless Sensor Network (WSN). The devices used in this study are LoRa, ESP32 and MQ135 sensors. The MQ135 sensor functions to measure ambient air quality. Then data from the sensor is sent using the LoRa module via 3 nodes to the master node. The OLED display is used to display the results of sensor readings in the form of CO and CO2 values. Then ESP 32 functions to process data from the sensor and regulate system performance. The air quality detection system was tested under two different conditions, areas with and without obstacles. Areas with obstacles is located on Campus 1 PNUP. Areas without obstacles is located on Mandai Underpass. The results of the tool test show that the area with obstacles located at Campus 1 PNUP, the furthest distance that can still be reached by LoRa is 100 meters. For the second location of the Mandai Underpass, the furthest distance LoRa still communicates is 140 meters.
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K. R,, Dr Remya. "Smart Agro-Vehicle Freshness Monitoring System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem41955.

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In the modern agricultural sector, preserving the freshness and quality of harvested vegetables during storage and transport is critical. This project presents an IoT-based solution for monitoring the freshness of vegetables using Wi-Fi technology. The system integrates a network of sensors, including the DHT11 for measuring temperature and humidity, the MQ135 gas sensor to detect spoilage-indicating gases, and an ultrasonic sensor, which is repurposed to measure the quantity of fuel in vehicles. Additionally, an MPU6050 accelerometer sensor detects accidents The data collected from these sensors are processed using an ESP32 microcontroller, which triggers corrective actions such as activating a DC fan for ventilation or sounding a buzzer when spoilage is detected. This Project allows farmers or warehouse managers to receive real-time data from distant storage locations or vehicle systems. This IoT-based system ensures a cost-effective and reliable solution for monitoring environmental factors affecting vegetable freshness and vehicle safety. By addressing challenges in storage management and transportation, the system reduces post-harvest losses, improves supply chain efficiency, and enhances safety decision-making through real-time data access. Keywords: IoT technology, vegetable freshness, Wi-Fi, DHT11, MQ135, ESP32 microcontroller, MPU6050, storage, transportation safety and real-time monitoring,
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Waworundeng, Jacquline M. S., and Oktoverano Lengkong. "Sistem Monitoring dan Notifikasi Kualitas Udara dalam Ruangan dengan Platform IoT." CogITo Smart Journal 4, no. 1 (2018): 94. http://dx.doi.org/10.31154/cogito.v4i1.105.94-103.

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Penelitian ini membahas tentang prototipe alat pendeteksi kualitas udara di dalam ruangan dengan menggunakan mikrokontoler Wemos dan sensor MQ135 yang terhubung dengan platform IoT sebagai sistem monitoring dan notifikasi. Modul sensor MQ135 sebagai detektor kualitas udara, mengirimkan sinyal input untuk diproses oleh mikrokontroler Wemos board. Modul wifi yang terdapat pada Wemos board mengirimkan nilai yang terbaca oleh sensor ke platform IoT Thingspeak yang merekam data logging dalam bentuk grafik. Dalam hal ini, Thingspeak berfungsi sebagai bagian dari sistem monitoring. Sedangkan sebagai sistem notifikasi digunakan platform IoT Blynk apps. Blynk apps terhubung secara tidak langsung ke prototipe alat pendeteksi kualitas udara melalui internet. Nilai yang terbaca dari sensor diproses sesuai program dan jika memenuhi level sensor yang ditentukan maka sistem memberikan notifikasi kepada user melalui Blynk apps. Sistem ini berpotensi untuk digunakan sebagai sistem pemantauan kualitas udara di dalam ruangan untuk meningkatkan kesadaran tentang pentingnya kualitas udara yang sehat.Keywords : Sistem Monitoring, Notifikasi, Kualitas Udara, Sensor, Iot
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Book chapters on the topic "MQ135 Sensor"

1

Sukenda, S. T. M. T., and Amar Alif Saefuloh. "Design of Air Quality Monitoring System in Office Workspace with MQ135 Sensor." In Advances in Engineering Research. Atlantis Press International BV, 2024. https://doi.org/10.2991/978-94-6463-618-5_11.

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Sindhuja, Gone, and Dr K.Charith Kumar. "A LOW-COST ARDUINO - BASED DATA LOGGING SYSTEM TO MONITOR ENVIRONMENTAL PARAMETERS." In Futuristic Trends in Agriculture Engineering & Food Sciences Volume 3 Book 10. Iterative International Publisher, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3bcag10p3ch2.

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Different storage conditions like Modified Atmosphere Packaging and Controlled Atmosphere Packaging provides best environment for storage but the cost makes it unavailable for small and marginal farmers so as to record the environmental parameters, development of the sensor for measuring the fruit respiration one can get to know the various parameters such as Temperature, Humidity, and the Level of Carbon dioxide which could be useful in assessing the possible storage conditions. In the first objective, the module is developed with the assemblage of different sensors such as MQ135 and DHT22 and the values have been recorded with the help of a data logger. In the second objective the values are calibrated with the actual working sensor and are made to be in line with it. In the third objective the actual experiment is carried out to measure the various parameters such as temperature, humidity, carbon dioxide. The acquired values are used in the assessment of post-harvest condition and come to the necessary conclusions, the values of temperature and humidity are on par with the values that are acquired with the commercial sensors (Campbell) installed at the greenhouse of soil and water conservation engineering. But the carbon dioxide values have shown deviation.
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Conference papers on the topic "MQ135 Sensor"

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Pandey, Yash Kumar, Prashant Kumar Patel, Mohit Singh Yadav, Shikha Singh, and Pinki Yadav. "IOT Based Smart Air Purifier." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-8jq26h.

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With the development in the technologies and modern equipment the level of the pollution has increased significantly. Air pollution caused due to the factories and the automobiles contributes a large share in this pollution and also one of the most challenging because the Particulate matters are released directly in to the air. So, this project is based on solving the global problem of air pollution by designing an air purifier that brings the increased level of air pollution to its lowest level. In this air purifier HEPA filters is used to purify the air and to make it smart sensors and IOTs are used. To make this whole process automatic Arduino based microcontroller (Node MCU ESP12e) is used which makes this whole system self-operating .This model will also use air quality sensor (MQ135 ),temperature sensor (DHT11) and humidity sensor (DHT11) for its working. Along-with this for energy requirements solar panels are used but for future scope electricity generation using piezo-electric plates has also been suggested.
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Ochie, Samuel, and Karen Ochie. "Design and Construction of an Air Quality Monitoring System to Mitigate Virus Spread." In SPE Nigeria Annual International Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/208263-ms.

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Abstract Air pollution is one of the most dangerous problems we face in the world today. It causes many illnesses and diseases that affect the immune system of humans and non-human animals and is also a means of propagating the novel COVID-19 or corona virus. Temperature, humidity, and the level of carbon dioxide characterize the air quality in an environment. In addition to abnormal temperatures and humidity causing direct problems to humans like headaches, heatstroke, hypothermia and hyperthermia, death and so on, it could also cause complicated problems like the acceleration of the growth and lifespan of harmful viruses like the corona virus especially in closed spaces like on a drilling rig or a processing facility. Multiple studies show that the influenza virus, coronavirus, and many others spread from host to host faster in areas with low humidity and high temperatures and upon infection, mortality rate is higher in low humidity regions. Inhalation of toxic levels of carbon dioxide has adverse effects ranging from drowsiness to coma and even death. Despite safety measures put in place in offshore facilities, there are still cases of corona virus outbreaks, hence this study aims to combat the facilitated spread of viruses and enhancement of good air quality via the design and construction of a device that measures the temperature, humidity, and carbon dioxide levels, using a DHT11 and MQ135 sensor. The temperature, humidity and carbon dioxide levels of the living area, bedroom, kitchen, and balcony in a facility was captured by the device to determine the quality of air and characterized. The values were then compared with the expected values from a trusted website to determine the accuracy of the device. The device showed a 99.8% accuracy and passed quality check making it a recommendation to enhance air quality in facilities, houses, or offices.
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Wijaya, Goldy Tanjung, and I. Gde Dharma Nugraha. "Prediction system of chicken meat expiration time based on polynomial regression using NodeMCU ESP8266 and MQ137 sensor." In THE 5TH INTERNATIONAL TROPICAL RENEWABLE ENERGY CONFERENCE (THE 5TH iTREC). AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0064986.

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