scholarly journals REAL-TIME FACTORY SMOKES MONITORING SYSTEM USING ANDROID SMARTPHONE

2021 ◽  
Vol 4 (1) ◽  
pp. 16
Author(s):  
Moch Andreyan Adi Prakoso ◽  
Lusia Rakhmawati
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Real Time ◽  
Error Rate ◽  
Infrared Detector ◽  
Local Area ◽  
Monitoring Tool ◽  
Industrial Plants ◽  
The Government ◽  
Simple Technology

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.

scholarly journals Enhancement of real-time IoT-based air quality monitoring system

2020 ◽  
Vol 11 (1) ◽  
pp. 390
Author(s):  
Wei Jian Ng ◽  
Zuraini Dahari
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Air Quality ◽  
Real Time ◽  
Monitoring System ◽  
Atmospheric Pollutants ◽  
Time Data ◽  
Real Time System ◽  
The Real ◽  
Environmental Monitoring System

Air pollution is one of the biggest threat for the environment and the human’s health. The monitoring of air pollution based on several atmospheric pollutants is becoming critical in most countries including Malaysia. This paper presents a development and enhancement features of real-time Internet of Things (IoT)-based environmental monitoring system for air quality. The proposed system will be beneficial to monitor the real-time data for a specific set of air quality parameters such as temperature, humidity and concentration of carbon monoxide, liquified petroleum gas (LPG) and smoke. An alarm system will be triggered if the concentration of carbon monoxide exceeds 50 ppm. Users can use their smartphone to view these data via Wi-Fi by installing an application called “AirProp”. Based on the collected data, this paper also analyses other contributing factors such as time and traffic condition on the temperature, humidity and concentration of pollutant gases at different locations. The advantage of the real-time system is it serves as the data base platform to store data up to certain duration of time. The data can be further analysed and leveraged by governments and researchers to mitigate air pollution.

scholarly journals Web Based Information System of Carbon Monoxide Pollution

2018 ◽  
Vol 73 ◽  
pp. 05026
Author(s):  
Wibowo Harry Suglharto ◽  
Aditya Akbar Riadi ◽  
Muhammad Imam Ghozali
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Data Acquisition ◽  
Real Time ◽  
Carbon Monoxide Poisoning ◽  
Sensor Data ◽  
Calculation Results ◽  
Government Rules ◽  
Real Time Information ◽  
Time Information

In Indonesia, carbon monoxide is one of which type of gas used as a parameter in the air pollution. Unfortunately, reporting and monitoring air pollution in Indonesia is regulated in government rules and reported once a day. The value of carbon monoxide concentration always change but the published information is out of date. Without real-time information, people cannot avoid the danger of monoxide pollution toxicity effect. This paper purpose the solution by publishes the real-time information from the carbon monoxide sensor data acquisition. This Research uses the rule-based method to calculate carbon monoxide pollution from data acquisition. Results of experiments show that information generated by the system in accordance with the manual calculation results of carbon monoxide pollution. This research contributed to providing information on real-time carbon monoxide measurement to the public, so the danger of carbon monoxide poisoning can be avoided.

PROBLEMS CAUSED BY SMALL PIG FARM ODOR AROUND THE WESTERN SONGKHLA LAKE BASIN

2017 ◽  
Vol 2 (1) ◽  
pp. 1-13
Author(s):  
Papontee Teeraphan
Keyword(s):  
Air Pollution ◽  
Lake Basin ◽  
Urgent Problem ◽  
The Public ◽  
Pig Farms ◽  
Pig Farm ◽  
The Government ◽  
The Moment ◽  
Source Of Information ◽  
Proper Solutions

Pollution is currently a significant issue arising awareness throughout the world. In Thailand, pollution can often be seen in any part of the country. Air pollution is pointed as an urgent problem. This pollution has not damaged only to human health and lives, it has destroyed environment, and possibly leading to violence. In Phattalung, air pollution is affecting to the residents’ lives. Especially, when the residents who are mostly agriculturists have not managed the waste resulted from the farm. In Phattalung, at the moment, there are many pig farms, big and small. Some of them are only for consuming for a family, some, however, are being consumed for the business which pigs will be later purchased by big business companies. Therefore, concerning pollution, the researcher and the fund giver were keen to focus on the points of the air pollution of the small pig farms. This is because it has been said that those farms have not been aware on the pollution issue caused by the farms. Farm odor is very interesting which can probably lead to following problems. The researcher also hopes that this research can be used as a source of information by the government offices in order to be made even as a policy or a proper legal measurement. As the results, the study shows that, first, more than half of the samples had smelled the farm odor located nearby their communities, though it had not caused many offenses. Second, the majority had decided not to act or response in order to solve the odor problem, but some of them had informed the officers. The proper solutions in reducing offenses caused by pig farm odor were negotiation and mediation. Last, the majority does not perceive about the process under the Public Health Act B.E. 2535.

Environmental and Hygienic Assessment of Ambient Air Pollution in Oil-Producing and Oil-Refining Areas of the Republic of Bashkortostan and Population Health Status

2020 ◽  
pp. 26-32
Author(s):  
Z.B. Baktybaeva ◽  
R.A. Suleymanov ◽  
T.K. Valeev ◽  
N.R. Rahmatullin ◽  
E.G. Stepanov ◽  
...  
Keyword(s):  
Air Pollution ◽  
Carbon Monoxide ◽  
Health Status ◽  
Nitrogen Dioxide ◽  
Population Health ◽  
Respiratory Diseases ◽  
Ambient Air ◽  
Oil Refining ◽  
Disease Rates ◽  
Total Suspended Particles

Introduction. High density of oil-producing and refining facilities in certain areas of Bashkortostan significantly affects the environment including ambient air quality in residential areas. Materials and methods. We analyzed concentrations of airborne toxicants (sulfur and nitrogen oxides, nitrogen and carbon oxides, hydrogen sulfide, ammonia, xylenes, toluene, phenol and total suspended particles) and population health status in the cities of Ufa, Sterlitamak, Salavat, Blagoveshchensk, and the Tuymazinsky District in 2007–2016. Pearson's correlation coefficients (r) were used to establish possible relationships between medico-demographic indicators and air pollution. Results. Republican fuel and energy enterprises contributed the most to local air pollution levels. Gross emissions from such enterprises as Bashneft-Ufaneftekhim and Bashneft-Navoil reached 43.69–49.77 thousand tons of pollutants per year. The levels of some air pollutants exceeded their maximum permissible concentrations. Elevated concentrations of ammonia, total suspended particles, nitrogen dioxide, and carbon monoxide were registered most frequently. High rates of congenital abnormalities, respiratory diseases in infants (aged 0-1), general mortality and morbidity of the population were observed in some oil-producing and refining areas. The correlation analysis proved the relationship between the concentration of carbon monoxide and general disease rates in adults based on hospital admissions (r = 0.898), general incidence rates in children (r = 0.957), and blood disease rates in infants (r = 0.821). Respiratory diseases in children correlated with nitrogen dioxide emission levels (r = 0.899). Conclusions. Further development of oil-producing, petrochemical and oil-refining industries should be carried out taking into account socio-economic living conditions of the population.

scholarly journals Tracking Air Pollution in China: Near Real-Time PM2.5 Retrievals from Multisource Data Fusion

2021 ◽  
Vol 55 (17) ◽  
pp. 12106-12115
Author(s):  
Guannan Geng ◽  
Qingyang Xiao ◽  
Shigan Liu ◽  
Xiaodong Liu ◽  
Jing Cheng ◽  
...  
Keyword(s):  
Air Pollution ◽  
Data Fusion ◽  
Real Time

Reducing Culture Reporting Errors in the Microbiology Laboratory

2019 ◽  
Vol 152 (Supplement_1) ◽  
pp. S131-S132
Author(s):  
Kathryn Hogan ◽  
Beena Umar ◽  
Mohamed Alhamar ◽  
Kathleen Callahan ◽  
Linoj Samuel
Keyword(s):  
Real Time ◽  
Error Rate ◽  
Reporting System ◽  
Error Rates ◽  
Tracking Errors ◽  
Corrective Measures ◽  
Safety Awareness ◽  
Before And After ◽  
Set Up ◽  
System Errors

Abstract Objectives There are few papers that characterize types of errors in microbiology laboratories and scant research demonstrating the effects of interventions on microbiology lab errors. This study aims to categorize types of culture reporting errors found in microbiology labs and to document the error rates before and after interventions designed to reduce errors and improve overall laboratory quality. Methods To improve documentation of error incidence, a self-reporting system was changed to an automatic reporting system. Errors were categorized into five types Gram stain (misinterpretations), identification (incorrect analysis), set up labeling (incorrect patient labels), procedures (not followed), and miscellaneous. Error rates were tracked according to technologist, and technologists were given real-time feedback by a manager. Error rates were also monitored in the daily quality meeting and frequently detected errors were discussed at staff meetings. Technologists attended a year-end review with a manager to improve their performance. To maintain these changes, policies were developed to monitor technologist error rate and to define corrective measures. If a certain number of errors per month was reached, technologists were required to undergo retraining by a manager. If a technologist failed to correct any error according to protocol, they were also potentially subject to corrective measures. Results In 2013, we recorded 0.5 errors per 1,000 tests. By 2018, we recorded only 0.1 errors per 1,000 tests, an 80% decrease. The yearly culture volume from 2013 to 2018 increased by 32%, while the yearly error rate went from 0.05% per year to 0.01% per year, a statistically significant decrease (P = .0007). Conclusion This study supports the effectiveness of the changes implemented to decrease errors in culture reporting. By tracking errors in real time and using a standardized process that involved timely follow-up, technologists were educated on error prevention. This practice increased safety awareness in our micro lab.

A Practical Real-Time Fourier Transform Infrared Detector for Liquid Chromatography

1978 ◽  
Vol 32 (5) ◽  
pp. 502-506 ◽  
Author(s):  
D. Warren Vidrine ◽  
David R. Mattson
Keyword(s):  
Fourier Transform ◽  
Liquid Chromatography ◽  
Real Time ◽  
Infrared Spectra ◽  
Infrared Detector ◽  
Fourier Transform Infrared ◽  
Paraffin Oil ◽  
Chromatographic Detection ◽  
Liquid Chromatographic ◽  
System Capability

A practical Fourier transform infrared system for real-time liquid chromatographic detection is described. Simple flowcell detection with automatic solvent subtraction is used, and detection of 500 ng of injected paraffin oil is demonstrated. Results from several chromatographic runs illustrate the system capability to serve as a real time infrared detector and simultaneously acquire infrared spectra.

How Real-Time Air Pollution Affects the Potential Utility of Subways?

2021 ◽  
Author(s):  
Jinbo Song ◽  
Yushan Zhou
Keyword(s):  
Air Pollution ◽  
Real Time ◽  
Potential Utility
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