IoT based system for detection of gas leakage and house fire in smart kitchen environments
Date Issued
2019-11-26
Author(s)
Ralevski, Marjan
Risteska Stojkoska, Biljana
Abstract
The future holds a broader range of available
technologies that will offer more innovative ways for solving
everyday issues. By combining small processing units with
artificial intelligence and machine learning, one can expand
the horizon of new concepts and ideas to increase everyday
safety. In this paper we have designed a cheap Internet of
Things based system which enables the early detection of house
fire and gas leaks. We are simulating a scenario where we
detect the rising possibility of house fire in a kitchen
environment, by measuring temperature and the gases
concentration. To optimize the communication process and
reduce the number of sent packets from the measuring node to
the system gateway, we applied time series forecasting
approach based on moving average prediction scheme.
technologies that will offer more innovative ways for solving
everyday issues. By combining small processing units with
artificial intelligence and machine learning, one can expand
the horizon of new concepts and ideas to increase everyday
safety. In this paper we have designed a cheap Internet of
Things based system which enables the early detection of house
fire and gas leaks. We are simulating a scenario where we
detect the rising possibility of house fire in a kitchen
environment, by measuring temperature and the gases
concentration. To optimize the communication process and
reduce the number of sent packets from the measuring node to
the system gateway, we applied time series forecasting
approach based on moving average prediction scheme.
Subjects
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