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Research and design of intelligent monitoring system in University based on artificial intelligence deep learning

  • 간행물
    한국차세대컴퓨팅학회 학술대회 바로가기
  • 권호(발행년)
    The 7th International Conference on Next Generation Computing 2021 (2021.11) 바로가기
  • 페이지
    pp.280-282
  • 저자
    Jinlong Piao
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A448068

원문정보

초록

영어
In order to solve the safety hazards caused by the operation failure of elevators, pump rooms, fire control facilities, access control and other equipment and facilities in colleges, this paper uses the Internet of Things technology to realize the ubiquitous access of equipment and facilities in colleges, and collect the operating status data of the equipment and facilities in real time. Establish an equipment and facility operation data center, use big data and deep learning technology to realize online monitoring and real-time early warning of equipment and facilities, and send the monitoring and early warning information to managers and equipment maintenance personnel for processing, and realize the monitoring, early warning, and processing of equipment and facilities Automated process management to build an intelligent monitoring system for college equipment and facilities.

목차

Abstract
I. INTRODUCTION
II. KEY TECHNOLOGY
III. CONSTRUCTION SCHEME
A. One monitoring diagram
B. Forecast and early warning
C. Troubleshooting
D. Equipment management
E. Equipment access
F. System management
IV. CONSTRUCTION SCHEME
REFERENCES

저자

  • Jinlong Piao [ Yanbian University Yanji, China ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국차세대컴퓨팅학회 학술대회
    • 간기
      반년간
    • 수록기간
      2021~2025
    • 십진분류
      KDC 566 DDC 004