| Autor: |
Pinggang Yan, Guo Yang, Xingfeng Mao, Huina Zeng, Haobin Guan |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
2020 5th International Conference on Information Science, Computer Technology and Transportation (ISCTT). |
| DOI: |
10.1109/isctt51595.2020.00121 |
| Popis: |
Automobile fire accidents are easy to cause difficulty in rescue and large losses due to their rapid fire, fierce combustion and large spreading area. This article aims to design a multi-stage early warning system for automobile engine compartment fire, which collects fire characteristic parameters in real time, and triggers multi-stage early warning based on the recognized fire stages. This paper analyzes the system requirements, and conducts design research from the overall plan, system hardware and software. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
