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DEVELOPMENT OF INTERNET OF THINGS PLATFORM FOR REAL-TIME AIR POLUTTION MINITORING SYSTEM
Abstract
Nowadays, the problem of ambient air pollution is a challenge in the world. Many government initiatives are being implemented to mitigate the impact of pollution on the environment as well as other aspects of human health and life. A particularly important case is urban areas exposed to the negative impact of industry, for example mining and power plants. In most cases, measurements are carried out pointwise in selected places and periodically with a constant interval of time. There is a lack of dedicated tools that could be a real support in the attempt to precisely describe the sources of pollution, their spread, and impact on the environment through ongoing tracking of time-spatial patterns of pollution behaviour. Another challenge is the development of BIG DATA analytics based on the fusion of data from various sources and it?s multidimensional processing with elements of prediction. The next issue is the development of a supervisory system informing the local community about air quality and recommending safety precautions as well as providing other services and proactive tasks. The article presents the concept of the Internet of Things platform development to monitor air parameters from static and mobile objects, such as public transport. Particular attention was paid to the assumptions of the measurement system design and the IoT platform, especially the communication layer. The potential functionality of the analytical and decision support module was presented.
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