Intelligent Elevator Safety Detection System Based on Cloud Service Big Data

Su Zhengpeng, Zhang Zehui, Xie Jiaping, Tao Fei, Weng Yuejia, Zhao Zhongwei

2019

Abstract

Elevator safety accidents often occur in people's daily lives. It is very important to perform 24-hour real-time testing of elevators in daily operation. This paper proposes a smart elevator security detection system based on cloud server distributed architecture and big data algorithm technology to solve the problem of elevator security detection. The C4.5 algorithm can process incomplete data with high accuracy, and can quickly analyze the operation of the elevator, which is convenient for maintenance personnel to quickly repair and protect people's safety.

Paper Citation

in Harvard Style

Zhengpeng S., Zehui Z., Jiaping X., Fei T., Yuejia W. and Zhongwei Z. (2019). Intelligent Elevator Safety Detection System Based on Cloud Service Big Data.In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC, ISBN 978-989-758-357-5, pages 251-256. DOI: 10.5220/0008097702510256

in Bibtex Style

@conference{ctisc19,
author={Su Zhengpeng and Zhang Zehui and Xie Jiaping and Tao Fei and Weng Yuejia and Zhao Zhongwei},
title={Intelligent Elevator Safety Detection System Based on Cloud Service Big Data},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,},
year={2019},
pages={251-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008097702510256},
isbn={978-989-758-357-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - Volume 1: CTISC,
TI - Intelligent Elevator Safety Detection System Based on Cloud Service Big Data
SN - 978-989-758-357-5
AU - Zhengpeng S.
AU - Zehui Z.
AU - Jiaping X.
AU - Fei T.
AU - Yuejia W.
AU - Zhongwei Z.
PY - 2019
SP - 251
EP - 256
DO - 10.5220/0008097702510256