Open AccessDesign of Intelligent Anti-suffocation System in Vehicle
Author(s) -
Long Zheng,
Yun Cao,
ZHULE Jin
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2209/1/012009
Subject(s) - microprocessor , automotive engineering , power consumption , battery (electricity) , computer science , doors , power (physics) , dual (grammatical number) , consumption (sociology) , simulation , engineering , embedded system , sociology , art , social science , physics , literature , quantum mechanics , operating system
With the progress of society, more and more families take cars as the main means of transportation. At the same time, due to the negligence of some parents, there are more and more suffocation accidents caused by children left in the car and adults resting in the car. At present, the research can only detect people who are moving around in the car, but not those who are resting in the car. At present, many systems are detecting and alerting, rather than directly solving the problem. The people left in the car with engine cut off and all the doors closed.The capacity of the car battery is very small, which requires the system operates with minimal power consumption. This problem is not considered in the current relevant research. To solve the above problems, this paper designs a system based on low power consumption dual microprocessor, combined with power management program, equipped with carbon dioxide sensor, temperature sensor and camera, which has low power consumption and can detect people resting and staying in the car at the same time. The system can effectively solve the shortcomings of the current research in view of the two situations of people resting and staying in the car at the same time.