Abstract
Carbon Monoxide (CO) is a ubiquitous product of partial burning of materials containing carbon. It is a poisonous gas, inhalation of which causes headache , nausea , dizziness which may sometimes lead to death. Thus, safety and security of human being from CO is of paramount significance. Designing a carbon monoxide detection system has, therefore, become very much essential to prevent such serious incidents. This chapter discusses the design and implementation of a secure and cost-effective real-time carbon monoxide detection and control system for living environments (e.g., air-conditioned rooms, factory spaces, and automobiles) by using embedded intelligent control mechanisms. The chapter provides a basic overview of the carbon monoxide gas, its sources and effects, related carbon monoxide gas sensors, and embedded intelligent controllers . The chapter also illustrates a review of various accidental cases due to exposure to CO and discusses a mathematical model for the embedded intelligent controllers . Lastly, a brief description of the software and hardware implementation of the embedded intelligence in an IoT platform has also been discussed. The chapter concludes with the significant contribution of this system by suggesting future research opportunities in this field.
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Nandi, C., Debnath, R., Debroy, P. (2019). Intelligent Control Systems for Carbon Monoxide Detection in IoT Environments. In: Mahmood, Z. (eds) Guide to Ambient Intelligence in the IoT Environment. Computer Communications and Networks. Springer, Cham. https://doi.org/10.1007/978-3-030-04173-1_7
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