scholarly journals Automation of Welding Fumes based on MQ-2 Sensor in Welding Laboratory.

2020 ◽  
Vol 3 (1) ◽  
pp. 1-9
Author(s):  
Bambang Adi Wahyudi ◽  
Duwi Leksono Edy ◽  
Wiyono Wiyono

In practical welding activities, there are potential hazards that must be addressed. These potential hazards include exposure to toxic fumes and dust. Fumes in the welding process contain a lot of metal oxides and can cause chronic effects in the form of eye irritation, sensory irritation, and impaired lung physiological function. Therefore, an air intake sistem is needed to minimize the volume of fumes in the welding chamber . This study aims to design an automation of exhaust smoke using the sensor module, microcontroller and actuator. The resulting tool is equipped with a display of detected air quality conditions, and an alarm indicating that the air quality is in a dangerous level. The method used is experimental development with 3 main stages, namely: designing hardware and software, testing the tools and analyzing their work functions. The results obtained are that the MQ-2 sensor is able to detect changes in the concentration of welding smoke and can be used as an analog input to control the work of the indicator lights, alarms and exhaust fans. The average ability of the exhaust fan to absorb the smoke concentration in the welding chamber is 26.85 seconds for 33 ppm at 40 mm long welding and 29.51 seconds for 37 ppm at 80 mm long welding process. With this capability, this tool can be used as a technical solution related to Occupational Health and Safety in welding laboratories.

2015 ◽  
Vol 4 (6) ◽  
pp. 23-26
Author(s):  
Литвинова ◽  
Natalya Litvinova

The article presents the results of field studies of air quality depending on mobile sources of pollution. Studies of the carbon monoxide concentration was conducted for the climatic conditions of the South of Western Siberia. The object of the study was residential buildings. The studies were conducted under unfavorable wind speed. Processing of experimental data allowed to obtain the calculated dependences of dimensionless concentration of carbon monoxide (II) on the height of building’s facade under emissions from highways. According to the results of research a nomogram was constructed to determine the optimal air intake height of buildings located near roads of various traffic intensity. Research results and given recommendations allow considering external sources of pollution when designing ventilation of a building.


2020 ◽  
Author(s):  
Fritz Nieborowski

<div> <p>Improper ventilation of buildings may lead to an accumulation of pollutants indoors. In the case of a room with forced air ventilation and external air intake like most centralized and some home air conditioning units, this study will show CFD simulations of various indoor air quality conditions based on different forced ventilation AC unit intake conditions like common in housing situations like Hong Kong. Especially when close to roadways or other external pollution sources, the positioning of the air intake shows up to have a high significance for the infiltration rate resulting as influence for the indoor air quality as previous research shows (e.g. Zheming Tong et al., 2016). The same is the case for a forced ventilation case like air conditioning units with outside air intake. Research like earlier referenced paper has not been conducted with higher buildings or forced air intake yet. Parametrized CFD-based air quality models with using OpenFoam will be employed to quantify the impact of the air intake location and rate in a 2-dimensional interface on the indoor air quality of a forced ventilated section of a building. The findings of the CFD simulation will be simplified as average indoor air pollution and other external factors. As an approach to predict the estimate indoor infiltration rate, an ANN (Artificial Neuronal Network) will be used, trained and validated with said data. The neural network is supposed to predict the pollutant intake based on fewer and as easier to obtain meteorological parameters and air pollution data. Finally, the ANN predictions of the models will be verified with real life data from other papers. Results will show that a major part of indoor pollutants may emerge indoors and cannot be neglected. In comparison with real life data, it seems the model lacks significant input to predict with high accuracy. </p> </div>


2009 ◽  
Vol 11 (2) ◽  
pp. 418-424 ◽  
Author(s):  
Michael Keane ◽  
Samuel Stone ◽  
Bean Chen ◽  
James Slaven ◽  
Diane Schwegler-Berry ◽  
...  

2014 ◽  
Vol 592-594 ◽  
pp. 2539-2545 ◽  
Author(s):  
Sreejith Mohan ◽  
S.P. Sivapirakasham ◽  
P. Bineesh ◽  
K. K. Satpathy

Exposure to welding fumes and its related hazards has always been a matter of serious concern. The mass and composition of fumes from welding depends on several factors. A detailed knowledge of these factors is necessary for understanding the mechanism of fume formation and developing suitable control strategies. This paper gives a literature overview on the various factors affecting welding fumes and strategies for controlling it. The paper focus on types of welding process like Manual Metal Arc Welding (MMAW) or Shielded Metal Arc Welding (SMAW), Gas Metal Arc Welding (GMAW), Flux Core Arc Welding (FCAW), Gas and Tungsten Arc Welding (GTAW). The research in the area of controlling fumes at the source has grown rapidly recently. Still, effective methods have hardly been explored. Improving arc stability by addition of materials with low ionization potential to the welding electrode lead to promising new research directions.


Author(s):  
Attila Simo ◽  
Simona Dzitac ◽  
Flaviu Mihai Frigura-Iliasa ◽  
Sorin Musuroi ◽  
Petru Andea ◽  
...  

This article will present a simple technical solution for a low-power and real-time air quality monitoring system. The whole package of software and hardware technical solutions applied for recording, transmitting and analyzing data is briefly described. This original monitoring system integrates a single chip microcon-troller, several dedicated air pollution surveillance sensors (for PM10, PM2.5, SO2, NO2, CO, O3, VOC, CO2), a LoRaWAN communication module and an online platform. This system was tested and applied under real field conditions. Depending on the measured values, it provides alerts, or, it can lead to the re-placement of specific components in the exhaust equipment. This article will pre-sent some experimental results, validated also by official measurements of government operated air quality stations.


2021 ◽  
Vol 13 (20) ◽  
pp. 11406
Author(s):  
Michał Wróblewski ◽  
Joanna Suchomska ◽  
Katarzyna Tamborska

This article presents the results of the qualitative research conducted on Polish users of the Sensor.Community network. Different types of motivation behind the decision to engage in the collection of air quality data are discussed. Users’ motives have been found to result predominantly from the concern for the health and safety of their loved ones, as well as the need to control air quality (and ultimately the quality of life) in their immediate environment (home and neighbourhood). Users do not display civic behaviour such as working for the local community. Three factors have been proposed to explain this status quo. First, the motives related to health and safety, as opposed to motives behind seeking a resolution to an environmental problem at the local level, may contribute to the solidification of individualistic attitudes. Second, Sensor.Community is organised in a way that does not promote a greater involvement from the network organisers in the development of the initiative and retention of users. Instead, the network focuses predominantly on the technical aspects of operation. Third, users have no sense of agency as, in our opinion, they remain largely unaware of the value of the data they collect.


Author(s):  
Made Ayu Duesa ◽  
Kartika Rahayu Tri Prasetyo Sari

The increase in human activities has triggered air pollution, especially in school areas. It results from various kinds of gases from exhausts or combustion that harm health and air quality for the community. The source of air pollution from motorized vehicles is one of the most significant contributors to air pollution in the school area. To prevent and control air pollution, a tool is needed to measure the gas levels. In this study, the tool used has a feature of monitoring air quality with the Internet of Things (IoT) platform. An essential part of this device is a sensor based on a microcontroller, where The device will send the data obtained by the MQ135 sensor module to the IoT platform. People can access information about air quality via smartphone devices for air quality information in the study room. This study's average result in detecting air quality is 495, indicating a moderate level of air pollution. With the existence of an air quality monitoring and notification system in this study room, it has the potential for awareness about the importance of healthy air quality for the community, especially students who will become the nation's next-generation students 8 hours learning environment.


2019 ◽  
Vol 2019 ◽  
pp. 1-13
Author(s):  
Chien-Lun Weng ◽  
Lih-Jen Kau

A person stays indoors for about 85%∼90% time of his lifetime, and the need for a comfortable indoor environment is getting higher; thus, the air-conditioning dependency becomes intense too. Nowadays, residents focus on both the comfortable living environment and indoor air quality. A closed environment will become hazardous because of carbon dioxide released during respiration and toxic organic solvent vapor released from interior decoration. In order to improve the indoor air quality (IAQ), we must allow outer fresh air into the indoor space and release the dirty air out. But while taking in fresh air, the heat and factory/vehicle exhaust are also introduced. Indoor CO2, HCHO, and VOCs and outer dirty gas threaten human health badly. To solve this problem, we bring up an innovative low-power-consuming full-outer-air-intake natural air-conditioning system that completely separates intake and exhaust air, which is a solution for cross-contamination and makes mass/energy exchange by means of air and water. Design airflow exceeds 300∼500 CFM, steam evaporation mass rate reaches 3.13∼3.88 kg/hr, and heat exchange capacity becomes 1,855∼2,300 kcal/hr. The sensible heat effectiveness is 71%∼112%, and EER exceeds 14.05∼17.42 kcal/W·h. In addition, the system under design can be of positive or negative pressure status according to the user’s or work’s requirement. It creates a comfortable and healthy living environment by supplying clean and fresh outer ambient air with low power consumption.


2010 ◽  
Vol 29-32 ◽  
pp. 1963-1969
Author(s):  
Qiu Ying Zou ◽  
Jian Wei Ji ◽  
Zhong Shan Zuo ◽  
Su Yan Zhang

In this paper, a technical solution of remote monitoring system based on ZigBee and embedded technology are focused, designed and analyzed. This technical solution of remote monitoring system is a promising solution for the limitations of traditional agricultural information. In this work, the star form network topology based on the ZigBee was used to achieve the low-power sensor module in the agricultural field. Then such information is delivered to the remote control center through GPRS. According to the received information, the control center sends out the control command in time so that agricultural manage departments or farmers take relative measures. Therefore, costs can be reduced, and crop production can be increased.


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