基于深度学习的电梯层门安全检测关键技术研究
Research on Key Technologies for Safety Detection of Elevator Landing Door Based on Deep Learning
张传龙 1董恩源 2王国华 3李籽骁4
作者信息
- 1. 大连锅炉压力容器检验检测研究院有限公司 大连 116013;大连理工大学 大连 116000
- 2. 大连理工大学 大连 116000
- 3. 大连锅炉压力容器检验检测研究院有限公司 大连 116013
- 4. 大连交通大学 大连 116000
- 折叠
摘要
通过深度学习进行小目标检测,提出了可以在电梯正常运行情况下,对电梯层门关键部件的异常状态进行检测分析判断的一种新型的检测电梯层门关键部件的检测方法.为了对本文设计的电梯层门关键部件检测分析设备进行验证,本文搭建了电梯层门关键部件检测分析实验平台.通过现场验证,该系统实现了对在用电梯的电梯层门关键部件检测分析等功能.
Abstract
By using deep learning for small object detection,a novel detection method for key components of elevator landing doors is proposed,which can detect,analyze,and judge the abnormal state of key components of elevator landing doors under normal operation of elevators.In order to verify the detection and analysis equipment for key components of elevator landing doors designed in this article,an experimental platform for detecting and analyzing key components of elevator landing doors has been established.Through on-site verification,the system has achieved functions such as detecting and analyzing key components of elevator floor doors in use.
关键词
电梯/深度学习/层门/检测Key words
Elevator/Deep learning/Landing door/Testing引用本文复制引用
基金项目
辽宁省市场监管局科技项目(2023ZC017)
出版年
2024
NETL
NSTL
万方数据