Design of Arduino-Based Smart Digital Liquefied Petroleum Gas Detector and Level Indicator Using Internet of Things Technology

Author(s):  
S. Ranjan ◽  
Vijay Kumar Tayal ◽  
Saket Kumar
2013 ◽  
Vol 397-400 ◽  
pp. 1744-1748
Author(s):  
Liang Shi ◽  
Heng Zhao ◽  
Hao Cai

Relying on the author-designed new gas detector the system completes the ARM - based processor hardware platform software design, the using of smart home products design concept and the Internet of Things technology. The system had unattended receiving data, network remote query, data warning functions and with good prospects.


Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.


Sign in / Sign up

Export Citation Format

Share Document