TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
An App Visualization design based on IoT Self-diagnosis Micro Control Unit for car accident prevention |
| 영문제목(English Title) |
An App Visualization design based on IoT Self-diagnosis Micro Control Unit for car accident prevention |
| 저자(Author) |
YiNa Jeong
EunHee Jeong
ByungKwan Lee
|
| 원문수록처(Citation) |
VOL 11 NO. 02 PP. 1005 ~ 1018 (2017. 02) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
This paper proposes an App Visualization (AppV) based on IoT Self-diagnosis Micro Control Unit (ISMCU) for accident prevention. It collects a current status of a vehicle through a sensor, visualizes it on a smart phone and prevents vehicles from accident. The AppV consists of 5 components. First, a Sensor Layer (SL) judges noxious gas from a current vehicle and a driver’s driving habit by collecting data from various sensors such as an Accelerator Position Sensor, an O2 sensor, an Oil Pressure Sensor, etc. and computing the concentration of the CO collected by a semiconductor gas sensor. Second, a Wireless Sensor Communication Layer (WSCL) supports Zigbee, Wi-Fi, and Bluetooth protocol so that it may transfer the sensor data collected in the SL to ISMCU and the data in the ISMCU to a Mobile. Third, an ISMCU integrates the transferred sensor information and transfers the integrated result to a Mobile. Fourth, a Mobile App Block Programming Tool (MABPT) is an independent App generation tool that changes to visual data just the vehicle information which drivers want from a smart phone. Fifth, an Embedded Module (EM) records the data collected through a Smart Phone real time in a Cloud Server. Therefore, because the AppV checks a vehicle’ fault and bad driving habits that are not known from sensors and performs self-diagnosis through a mobile, it can reduce time and cost spending on accidents caused by a vehicle’s fault and noxious gas emitted to the outside.
|
| 키워드(Keyword) |
Self-diagnosis
sensor modeling
APP design
Eco-drive
sensor network
|
| 파일첨부 |
PDF 다운로드
|
