岩芯智能识别关键技术研究
Research on Key Technology for Rock Core Intelligent Recognition
刘梦冉 1周永刚 2黄香春 1周俊1
作者信息
- 1. 四川省川建勘察设计院有限公司,四川 成都 610015
- 2. 四川省川建勘察设计院有限公司,四川 成都 610015;成都理工大学,四川 成都 610059
- 折叠
摘要
在地质勘查过程中,地层信息的记录至关重要.文章提出一种基于图像识别技术的岩芯智能识别系统,旨在提高现场编录工作效率和岩芯识别的准确性.提出一套岩芯样本采集方法,实现对岩芯样本的标记和分类保存,使用PyTorch平台和Python语言进行算法研究和系统设计,研发五种岩芯的智能识别算法,并建立一套完整的岩芯智能识别系统.
Abstract
In the process of geological exploration,the record of stratigraphic information is very important.This paper proposes a rock core intelligent recognition system based on image recognition technology to improve the efficiency of on-site logging and the accuracy of rock core recognition.A set of rock core sample collection methods is proposed to realize the marking and classified preservation of rock core samples.The algorithm research and system design are carried out by using PyTorch platform and Python language.Five kinds of rock core intelligent recognition algorithms are developed,and a complete set of rock core intelligent recognition system is established.
关键词
岩芯智能识别/图像识别/PyTorch/Python/智能识别算法Key words
rock core intelligent recognition/image recognition/PyTorch/Python/intelligent recognition algorithm引用本文复制引用
出版年
2024
NETL
NSTL
维普
万方数据