An IoT based System for Domestic Air Quality Monitoring and Cooking Gas Leak Detection for a Safer Home

Gupta, Kalpesh; Krishna, G Gokul; Anjali, T

doi:10.1109/iccsp48568.2020.9182051

Cited by 21 publications

(7 citation statements)

References 6 publications

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“…The result of this experiment is that the MQ-135 sensor can detect gas concentrations, and provide data to the ESP-8266 microcontroller, according to the indexed air quality level value in the program. It is shown in the figure, which is evidence from the thingspeak report, that each listed point is a real-time detected value, with PPM [10]; [11]. The test scenario carried out is to activate a component, and place it in the room.…”

Section: Iot Based Pollution/air Quality Monitoring With Esp8266mentioning

confidence: 96%

“…The next process is to observe the values displayed on the IoT platform on the Thingspeak server. Analog values are recorded from the server, which are taken randomly over a certain period of time [12]; [10]. Based on log data from server testing with a monitoring time of about 20 minutes, a report will be obtained from the digital graphics server, that the MQ-135 analog sensor value is in the range of 356 to 531.…”

Section: Iot Based Pollution/air Quality Monitoring With Esp8266mentioning

confidence: 99%

See 1 more Smart Citation

IOT-Based Pollution and Air Quality Monitoring Equipment with ESP-8266

Lumbangaol¹,

Siagian²,

Siahaan³

et al. 2022

Proceedings of the 6th Batusangkar International Conference, BIC 2021, 11 - 12 October, 2021, Batusangkar-West Sumatra, Indones

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Modern industry urgently needs air quality detectors, which are used to detect air pollutants, such as; CO, CO2, SO2, and NO2, which are not good for the health of living beings and the environment. In this study, we created a tool that can monitor the gas and provide results in PPM (parts per million). Sensors will collect parameter data and environmental data will be output to the server.The conclusions as follows: first, The design of the air pollution detection device uses the MQ-135 gas sensor with IOT-based technology to detect CO2, SO2, and NO2 gases. The input from the gas sensor is processed through the ESP-8266, will produce an air quality index output, thus displaying the index in various places/locations, which will be displayed on the monitor, and, the second is The latest implementation of this air pollution detection tool using the MQ-135 can identify hazardous air levels of CO2, SO2, and NO2 gases, which then provide indications and information to android application users and computers, with an air quality index/value.

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Section: Iot Based Pollution/air Quality Monitoring With Esp8266mentioning

confidence: 96%

Section: Iot Based Pollution/air Quality Monitoring With Esp8266mentioning

confidence: 99%

IOT-Based Pollution and Air Quality Monitoring Equipment with ESP-8266

Lumbangaol¹,

Siagian²,

Siahaan³

et al. 2022

Proceedings of the 6th Batusangkar International Conference, BIC 2021, 11 - 12 October, 2021, Batusangkar-West Sumatra, Indones

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“…Panjay's [5] has designed a system in which he had given a clear idea about the long transmission of gas through a pipeline and its gas leakage detection flow. Kalpesh Gupta [6] has designed a automatic window opening system when the gas is being leaked at certain amount of volumecontinuously. Kavitha B [7] has designed an alarming system for the industrybased on thehuge amount of leak of gas from the container.P.…”

Section: Gas Leakage Monitoring Systemmentioning

confidence: 99%

Gas Leakage Monitoring System Using IOT

Jijusasikumar¹,

Kaviya²,

Logida³

et al. 2021

IRJASH

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Gas leakages result in serious problems in households and other areas where household gas is used. We are using many household appliances frequently but we are not servicing all of it, we are servicing only our luxurious and costly items in regular intervals, we are not taking care of essential appliances. Gas stove is one of it, using for a long period of time in kitchen the spills of oils and water fall over the cylinder tube, they become rust and cause hole in it through which gas gets leak and can cause a fire accident. The aim of this paper is to monitor and detect the gas leakage. The sensor is fixed in the cylinder used to detect gas leakage. During working in the kitchen if the gas leakage is sensed the lcd monitor displays a alert message and gives an alarm alert. If the gas leakage is found during the absence of peoples in home, sensor sense the leakage and sends the alert message to the user mobile through an application. The status of gas leakage is fed into the controller, using wi-fi connection the wi-fi module sends the alert message to the cloud and it is redirected to the application over the internet.

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“…Demonstrating a gas sensor system for domestic air quality monitoring, K. Gupta et al [24] applied Tin Dioxide (SnO2) based MOX gas sensors MQ-135, MQ-6, and MQ-4 ( Winsen Electronics Technology, Zhengzhou, China.). They detected ammonia (NH3), nitrous gases (NOx), nicotine, benzene, carbon dioxide (CO2), butanes, LPG, propane, and LNG, and natural gases (methane, CH4) with an Arduino UNO microcontroller and ESP8266 (Espressif Systems, Shanghai, China) for the WiFi communication interface.…”

Section: Introductionmentioning

confidence: 99%

“…This system can be used as a wireless sensor network for environmental monitoring. Similar technology is utilized for multiple purposes in [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Mobile Gas Sensing for Laboratory Infrastructure

Sarif,

Al-Okby,

Roddelkopf

et al. 2024

IIUMEJ

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Indoor air quality has become a growing concern in modern society due to prolonged indoor working hours that lead to the frequent exposure to numerous toxic gases from various sources. These pollutants, including volatile organic compounds (VOCs), pose severe health risks such as asthma and lung cancer. To address this critical issue, this project focuses on developing and evaluating an advanced gas detection system that explicitly targets VOCs by integrating two novel metal oxide semiconductor (MOX)-based gas sensors, ENS 160 and TED110. Different sensor parameters, such as the air quality index (AQI) and volatile organic compounds (VOCs), were evaluated using 12 volatile organic chemicals. The findings revealed that the ENS 160 sensor performs excellently, detecting 60 gas samples out of 72, with an average detection rate of approximately 83%. In contrast, the TED110 sensor demonstrated considerably lower performance and response in 24 out of 72 gas samples, with a detection rate of about 33%. The results contribute insights into the gas sensor's characteristics, providing essential information to enhance indoor air quality monitoring technology, particularly in laboratory environments. ABSTRAK: Setiap hari, banyak gas toksik, letupan dan beracun berlaku di dalam dan di luar rumah daripada pelbagai sumber. Dalam masyarakat moden, kebanyakan orang menghabiskan 90% masa bekerja mereka di dalam rumah; oleh itu, kualiti udara dalaman secara beransur-ansur bertambah buruk daripada suasana luar. Projek ini sedang membangunkan sistem pengesanan dan pemantauan moden yang canggih untuk mengesan pelbagai gas berbahaya, seperti sebatian organik meruap (VOC). Dua penderia gas berasaskan semikonduktor oksida logam (MOX) novel telah diperkenalkan dalam projek ini dengan mikropengawal yang dikemas kini untuk pemerolehan data dan pemprosesan data. Tambahan pula, parameter sensor yang berbeza (AQI, TVOC) telah dinilai dengan 12 bahan kimia organik yang tidak menentu. Semua ujian telah dijalankan dalam tudung kimia tradisional dengan tiga kuantiti sampel yang berbeza (5?L, 10?L, 50?L) pada jarak 40 cm dan 100 cm. Akhir sekali, volum minimum yang boleh dikesan berdasarkan jarak antara nod sensor dan sumber bocor telah dianalisis selepas eksperimen yang meluas dengan kedua-dua sensor. Sensor ENS 160 sedang mengesan 60 sampel gas daripada 72, dalam ketiga-tiga parameter seperti AQI, TVOC dan kadar pengesanan CO2 sekitar 83%. TED110 menunjukkan prestasi yang sangat rendah; ia telah bertindak balas kepada 24 daripada 72 sampel gas, dan kadar pengesanan ialah 33%.

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An IoT based System for Domestic Air Quality Monitoring and Cooking Gas Leak Detection for a Safer Home

Cited by 21 publications

References 6 publications

IOT-Based Pollution and Air Quality Monitoring Equipment with ESP-8266

IOT-Based Pollution and Air Quality Monitoring Equipment with ESP-8266

Gas Leakage Monitoring System Using IOT

Mobile Gas Sensing for Laboratory Infrastructure

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