ENVIRONMENTAL DATA COLLETION AND MONITORING
| dc.contributor.advisor | Hoang, Xuan Son | |
| dc.contributor.author | Pham, Minh Thang | |
| dc.date.accessioned | 2022-01-07T14:45:48Z | |
| dc.date.available | 2022-01-07T14:45:48Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | /handle/123456789/3234 | |
| dc.description.abstract | Environmental pollution is not a new phenomenon, yet it remains the world’s greatest problem facing humanity, and the leading environmental causes of morbidity and mortality. Man’s activities through urbanization, industrialization, mining, and exploration are at the forefront of global environmental pollution. Both developed and developing nations share this burden together, though awareness and stricter laws in developed countries have contributed to a larger extent in protecting their environment. Despite the global attention towards pollution, the impact is still being felt due to its severe long-term consequences. Environmental pollution is an international serious, acute, health and social problem that humans are responsible for. Rapid technology evolution could provide us solutions to predict and monitor environmental parameters and thus minimize or even eliminate environmental pollution. Using a wireless sensor network (WSN) and an Internet of Things (IoT) implementation, we can create an eco-friendly and controlled environment. This paper presents an embedded and standalone system that can monitor, store and analyze environmental data as well as calculate energy consumption in specific settings. Information is available via a web application with central management abilities. Our appliance can work standalone as well as part of a smart ICT grid of appliances. The system aims to determine and designate environmental spaces, in which human activities could be harmful. More specific, it can be used at world cultural heritage and archaeological places, building, constructions where allowance of human intervention is prohibited or very limited. Collecting and analyzing data can help us estimate the environmental consequences of human actions. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | FPTU Hà Nội | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Internet of Things | en_US |
| dc.subject | IOT | en_US |
| dc.subject | Wireless sensor network | en_US |
| dc.subject | Data | |
| dc.title | ENVIRONMENTAL DATA COLLETION AND MONITORING | en_US |
| dc.type | Thesis | en_US |
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