Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
권호 표지
DOI QR코드

DOI QR Code

Study on IoT-based Map Inside the Building and Fire Perception System

IoT 기반 건물 내부 지도 및 화재 안내 시스템에 관한 연구

  • Moon, Sung-Ryong (Department of Electronic of Engineering, Wonkwang University) ;
  • Cho, Joon-Ho (Department of Electronics Convergence Engineering, Wonkwang University)
  • 문성룡 (원광대학교 전자공학과) ;
  • 조준호 (원광대학교 전자융합공학과)
  • Received : 2018.11.21
  • Accepted : 2019.01.20
  • Published : 2019.01.28
Download PDF
⟨ Previous Next ⟩

Abstract

This paper is a study on IoT based map inside the building and fire perception system using microprocessor and LABVIEW program. The smart control system implemented in this paper is designed to identify the location of fire by using microprocessor, flame detection sensor, carbon monoxide sensor and temperature sensor, and to guide the optimal travel route through Zigbee communication. And the proposed system uses QR code to interoperate with smartphone. The coordinator control verified that the sensor value of the smart control system installed through the LABVIEW software was confirmed. The IoT based control system studied in this paper was implemented with Arduino mega board and LABVIEW software, and the operation status was confirmed by display device and coordination.

본 논문은 마이크로프로세서와 랩뷰 프로그램을 이용한 IoT 기반의 건물 내부 지도 및 화재 안내 시스템에 관현 연구 이다. 지금까지의 건물 내부의 비상구를 안내하는 장치는 화재 발생시 화재장소와 상관없이 항상 일정한 방향만을 나타내어 화재로부터 건물 밖까지 최적의 비상구를 나타내어 주지 않고 있다. 논문에서 구현된 스마트 제어 시스템은 마이크로프로세서와 불꽃 감지센서, 일산화탄소센서 및 온도센서를 이용하여 화재 발생 장소를 파악하였고, Zigbee 통신을 통하여 최적의 이동경로를 안내하도록 구성되어 있다. 그리고 제안된 시스템은 QR코드를 활용하여 스마트폰과 연동되게 하였다. 코디네이터 제어는 LABVIEW 소프트웨어를 통하여 설치된 스마트제어 시스템의 센서 값이 확인되도록 검증하였다. 본 논문에서 연구된 IoT 기반 제어시스템은 Arduino mega 보드와 LABVIEW 소프트웨어로 구현하였고, 디스플레이 장치와 코디네이션으로 동작 상태를 확인 할 수 있었다.

Keywords

DJTJBT_2019_v17n1_85_f0001.png 이미지

Fig. 1. Smart control system configuration diagram

DJTJBT_2019_v17n1_85_f0002.png 이미지

Fig. 2. Smart Control System Operation Algorithm

DJTJBT_2019_v17n1_85_f0003.png 이미지

Fig. 3. Specification and Appearance of Smart Block

DJTJBT_2019_v17n1_85_f0004.png 이미지

Fig. 4. Internal map of implemented homepage

DJTJBT_2019_v17n1_85_f0005.png 이미지

Fig. 5. Mesh network of ZigBee communication

DJTJBT_2019_v17n1_85_f0006.png 이미지

Fig. 6. Operation of proposed system

DJTJBT_2019_v17n1_85_f0007.png 이미지

Fig. 7. Initial screen and inside and outside maps

DJTJBT_2019_v17n1_85_f0008.png 이미지

Fig. 8. Exit Guide screen

DJTJBT_2019_v17n1_85_f0009.png 이미지

Fig. 9. Control programs configured with LABVIEW

References

  1. Comterman[Internet], "Reduce the standby power switch outlets, installation is easy, but so difficult to come by". http://comterman.tistory.com/387.
  2. J. P. Ros & Alan Meier. (2000). "Whole-House Measurements of Standby Power Consumption", In Proceddings of the Second International Conference on Energy Efficiency in Household Appliances, Naples(Italy): Association of Italian Energy Economics(Rome), LBNL-45967. DOI : 10.1016/S0360-5442
  3. L. Aalto, N. Gothlin, J. Korhonen & T. Ojala. (2004). Bluetooth and WAP push based location-aware mobile advertising system. Proceedings of the 2nd international conference on Mobile systems, applications, and services, 49-58.
  4. P. Bahl & V. N. Padmanabhan. (2000). An in-building RF-based user location and tracking system. INFOCOM, 775-784.
  5. E. Elnahrawy, X. Li & R. Martin. (2004). The limits of localization using signal strength, Proceedings of the 1st IEEE International Conference on Sensor and Ad Hoc Communications and Networks.
  6. A. Ladd, K. Bekris, G. Marceau, A. Rudys, L. Kavraki & D. Wallach. (2002). Roboticsbased location sensing using wireless ethernet. Proceedings of the Tenth ACM International Conference on Mobile Computing and Networking, MOBICOM
  7. N. B. Priyantha, A. Chakraborty & H. Balakrishnan. (2000). The cricket locationsupport system. Mobile Computing and Networking, 32-43 .
  8. A. Ward, A. Jones & A. Hopper. (1997), A new location technique for the active office. IEEE Personnel Communications, 4(5), 42-47.
  9. Y. J. Park. (2016). Remote Temperature Control System using a Zigbee Communication. Journal of Digital Convergence, 14(4), 259-265. DOI : 10.14400/JDC.2016.14.4.259
  10. Zigbee Alliance, http://www.zigbee.org
  11. Industrial Training Institute. (2009). Sensor network and local area wireless communication seminar(II).
  12. B. H. Kim. (2016). Design of Path Weighting Data Analysis System for Efficient Product Arrangement. Journal of Digital Convergence, 14(10), 167-172. DOI : 10.14400/JDC.2016.14.10.167
  13. E. C. Arthur. (2002). From Cluster Tracking to People Counting. IEEE International Workshop on PETS', 3(1), 9-17.
  14. W. S. Yoo, H. G. Byun & J. G. Kim. (2009). Implementation of the Wireless Embedded POS System Using Zigbee Communication. Journal of Korea IT Service Society, 8(2), 137-146.
  15. S. K. Hwang & S. G. Lee. (2009). Implementation of an Intruder Detection System using Image Transmission on Zigbee. Journal of Security Engineering, 6(4), 241-242.
  16. B. C. Chung & W. S. Na. (2016). A Study on the Smart Fire Detection System using the Wireless Communication. Journal of Convergence for Information Technology, 6(3), 37-41. DOI : 10.22156/CS4SSMB.2016.6.3.037