Abstract
It is known that gases and vapours produced, under many circumstances, have harmful effects on human who exposed to them by inhalation, being absorbed through the skin, or swallowed. Many toxic substances are dangerous to health in concentrations as little as lppm (parts per million).Gaseous toxic substances are especially dangerous because they are often invisible and /ordourless. Their physical behaviour is not always predictable ambient temperature, pressure and ventilation patterns significantly influence the behaviour of a gas leak. Nowadays, with the increasingly rapid development of technological media, the rapid growth of industry, the hundred sof cars that circulate every day in the streets of major cities, the use of pesticides and other poisonous substances for the exaggerated production of products increased the pollution of the atmosphere resulting in the daily exposure of humans to small concentrations of harmful gaseous substances such as carbon monoxide and carbon dioxide which have serious harmful effects on humans health . The factors that can lead to poisoning are related to the physicochemical. Generally, the rate of poisoning is higher in urban areas and especially in large ones. This is because the conditions in those areas help the development of poisoning. This study was conducted to develop a product that can automatically detect hazardous gases which is colorless, odorless, and also smokes. Our new product is a smoke and hazardous gases detector. It can detect the presence of gases in an area, often as part of a safety system. This type of equipment is used to detect a gas leak or other emissions. A smoke and hazardous gases detector gives a signal by producing sound of alarm to operators in the area where the leak is occurring, giving them the opportunity to leave. This type of device is important because there are many gases that can be harmful to organic life, such as humans or animals. Also, this paper will highlight the design of the product and reasoning behind the parameters chosen.
Metadata
Item Type: | Entrepreneurship Project |
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Creators: | Creators Email / ID Num. WIRA, ANNESSA 2017413096 KADERI, SAFFA IZZATI 2017420306 AZMI, AISYAH 2016675024 MOTALIB, MAZ HUD AH 2017420264 MASTAH, REFLEEANA 2017420292 |
Contributors: | Contribution Name Email / ID Num. Journal Advisor ZAINAL ABIDIN, ZANARIAH UNSPECIFIED |
Subjects: | H Social Sciences > HB Economic Theory. Demography > Entrepreneurship. Risk and uncertainty |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences |
Keywords: | Smoke, Gas, Detector |
Date: | December 2021 |
URI: | https://ir.uitm.edu.my/id/eprint/51658 |
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