한국전자통신학회논문지 (The Journal of the Korea institute of electronic communication sciences)

한국전자통신학회 (Korea Institute of Electronic Communication Science)
권호 표지
DOI QR코드

DOI QR Code

센서 및 MCU기반 지능형 환기창 빅데이터전송용 시스템 안정화에 관한 연구

A Study on the Stabilization of a System for Big Data Transmission of Intelligent Ventilation Window based on Sensor and MCU

  • 투고 : 2021.04.13
  • 심사 : 2021.06.17
  • 발행 : 2021.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

IoT와 센서를 기반으로 원격으로 제어할 수 있는 액추에이터 모듈의 지능형 환기 기능을 구현하기 위해, 실내 가스/CO2/습도 온도 및 실내/외 미세먼지 관련 실외 환경을 감지하는 사전 설정된 개수의 데이터를 기반으로 환기 포트를 개폐하기 위한 알고리즘 설계 및 구동 회로를 구성하여 환기창시스템을 구현하였다. 실내공기 순환모듈의 전송데이터관련 센서와 조건이 많아 데이터 저장·관리·분석에 어려움을 겪고 있다. 빅데이터 기술은 실내 공기 순환 시스템에 채택되어야 한다. 원격 모니터링과 원격 무선 제어 화면은 환기구시스템의 상태를 추출하여 관리함으로써 분리 및 작동 조건을 자동화할 수 있도록 구축되었다. 엑츄에이터 및 센서로 구성된 환기창시스템의 제어 및 센싱용 대량의 데이터전송 안정성을 확보하기 위해 MQTT를 적용하고 시스템 오류를 대비하여 운용의 빅데이터 안정적인 전송 보장을 위해 RocketMQ를 활용하여 시스템을 구성하였다.

In this paper, we made the integrated intelligent air ventilation of the actuator module that can be remotely controlled based on IoT and sensors. we implemented a ventilation window system by configuring an algorithm design and a driving circuit to control the operation of the actuator to open and close the ventilation port based on a predetermined number of data that detects indoor gas/CO2/humidity temperature and outdoor fine dust related indoor/outdoor environment. It is difficult to store, manage, and analyze data due to the large number of sensors and conditions for the transmission data of indoor air circulation module. The remote monitoring and remote wireless control screens were constructed to automate the separation and operation conditions by extracting and managing the state. We apply MQTT to enhance big data transmission and construct the system using Rocket MQ to ensure safe transmission of operational big data against system errors.

키워드

참고문헌

  1. H. Chang and H. Kim, "A Study on Ventilation Characteristics Made by Thin Line Type Ventilator in an Apartment House" The Society of Air-conditioning and Refrigerating Engineers of Korea (SAREK), vol. 23, no. 3, 2011, pp. 201-207 https://doi.org/10.6110/KJACR.2011.23.3.201
  2. C. Song, T. Kim, and S. Lee, "The Analysis on the Variation of the Ventilation Rates by Wind Pressure and Temperature Difference between Indoor and Outdoor in the Multi-Story Type Double Skin Facade applied to the Office Building," Korea Institute of Ecological Architecture and Environment, vol. 15, no. 2, 2015, pp 123-131.
  3. H. Chung, K. Chung, and S. Shin, "A Study on Analysis Method for Performance Evaluation of Double-leaf facade of Office Building," The Korean Society for Energy, vol. 21, no. 2, 2012, pp. 168-178.
  4. C. Song, T. Kim, and S. Lee, "The Analysis on the Variation of the Ventilation Rates by Wind Pressure and Temperature Difference between Indoor and Outdoor in the Multi-Story Type Double Skin Facade applied to the Office Building," Korea Institute of Ecological Architecture and Environment, vol. 12, no. 2, 2015, pp. 123-131.
  5. T. Kang, "An Experimental Analysus of Ventilation Effectiveness using Tracer gas" I Journal of the Korean Society of Marine Engineering. 30, no. 2, 2006, pp.260-266
  6. Y. Cho, "Smart Windows and Doors Platform for Providing Optimized Inner Environment," Korean Institute of Intelligent Systems, vol. 25, no. 5, 2015, pp. 464-469. https://doi.org/10.5391/JKIIS.2015.25.5.464
  7. S. Cho, "A Study on the Improvement of Natural Ventilation Performance in the Roof Ventilator," ARCHITECTURAL INSTITUTE OF KOREA, vol. 19, no. 4, 2003, pp. 147-154.
  8. I. Calvo, J. Gilgarcia, I. Recio, and A. Lopez, "Building IoT Applications with Raspberry Pi and Low Power IQRF Communication Modules," Electronics, vol. 5, no. 3, 2016, pp. 62-78 https://doi.org/10.3390/electronics5040062
  9. H. Ryoo and G. Park. "Development of intelligent ventilation window system based on indoor environment recognition," INCA Convergence Conference, Jeju, South Korea, July 2020, pp. 127-130.
  10. G. Brager and R. de Dear, "Climate, Comfort, & Natural Ventilation: A new adaptive comfort standard for ASHRAE Standard 55," Center for the Built Environment, UC Berkeley
  11. G. Gan, "Effective depth of fresh air distribution in rooms with single-sided natural ventilation," Energy and Buildings, vol. 31, no. 1, Jan. 2000, pp. 65-73. https://doi.org/10.1016/S0378-7788(99)00006-7
  12. E. Gratia and A. Herde, "Is day natural ventilation still possible in the office buildings with a double-skin facade," Building and Environment, vol. 39, no. 4, Apr. 2004, pp. 399-409. https://doi.org/10.1016/j.buildenv.2003.10.006
  13. L. Gu, "Airflow network modeling in EnergyPlus, Proc. Building Simulation 2007," 10th International Building Performance Simulation Association Conference and Exhibition, Beijing, China, Sept. 2007.
  14. R. Atmoko, R Riantini, and M. Hasin, "IoT real time data acquisition using MQTT protocol," Journal of Physics: Conference Series, Surabaya, Indonesia, Aug. 2017.
  15. Y. Shinada, K Kimura, and H. Katsuragi, "Natural Ventilation System for a School Building Combined with Solar Chimney and Underground Pit," Proceedings of Clima 2007 WellBeing Indoors, Toyohasi University
  16. H. Jung, "Study on the MQTT protocol design for the application of the real-time HVAC," International Journal of Internet, Broadcasting and Communication, vol. 8, no. 1, 2016, pp. 19-26. https://doi.org/10.7236/IJIBC.2016.8.1.19
  17. K. Hwang, H. Park, J. Kim, T. Lee, and I. Jung, "An Implementation of Smart Gardening using Raspberry pi and MQTT", The Journal of The Institute of Internet, Broadcasting and Communication (IIBC), vol. 18, no. 1, Feb. 2018, pp. 151-157. https://doi.org/10.7236/JIIBC.2018.18.1.151