压延车间能源信息采集关键技术研究与系统实现
Research and system implementation on key technologies of energy information acquisition in rolling workshop
聂鑫鹏 1袁逸萍 1祁雷 2朱广贺3
作者信息
- 1. 新疆大学机械工程学院,乌鲁木齐 830017
- 2. 新疆大学信息科学与工程学院,乌鲁木齐 830046
- 3. 新疆师范大学计算机科学技术学院,乌鲁木齐 830054
- 折叠
摘要
结合铝箔压延车间的工艺流程以及能耗数据特点,提出了一套基于物联网的压延车间能源信息采集系统.针对采集过程中遇到的能耗数据缺失问题,设计了一套缺失数据处理流程,其中利用到了 WOA-CNN-LSTM混合神经网络算法来插补缺失数据.系统的开发采用了 MQTT协议、JAVA语言及SpringBoot框架等技术.实现了对生产流程的能源信息采集、统计与监管,改善了压延车间能源信息采集过程中的数据缺失问题,提高了数据准确度.
Abstract
An loT-based energy information collection system for aluminum foil rolling workshops was proposed,taking into ac-count the workshop's process flow and energy consumption data characteristics.To address the issue of missing energy consump-tion data during the collection process,missing a data processing flow was designed,which utilized a WOA-CNN-LSTM hybrid neural network algorithm to interpolate the missing data.The system development employed technologies such as the MQTT proto-col,JAVA language,and SpringBoot framework.It achieved energy information collection during the production process,infor-mation statistics,and supervision,improved data accuracy by addressing the issue of missing data during energy collection in the rolling workshop.
关键词
压延车间/能源信息采集/缺失数据/鲸鱼优化算法/卷积神经网络/长短期记忆网络Key words
rolling workshop/energy information collection/missing data/WO A/CNN/LSTM引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据