摘要
因目前抽油机SCADA系统不同节点采集数据的数据库引擎不同,数据表结构不一致,无法构成石油开采工艺数据挖掘所需的数据源。利用阿里云物联网平台开发基于Web浏览器和手机APP的抽油机智能监控系统。该系统采用自动化技术与工业物联网技术深度融合,以PLC作为感知层控制器,实时采集抽油机运行参数。将采集的数据以变量标签形式上传至阿里云服务器,实现不同传输协议数据的融合、清洗、存储和管理,可为采油工艺数据挖掘提供基础数据,实现多区块抽油机采油集中监控。
To address the inability of constituting the data source needed for oil extraction process data mining by traditional pumpjack SCADA system due to its different database engines and different data table structures,an intelligent monitoring system of pumpjack is developed using AliCloud IOT and based on Web browser and mobile APP.The system adopts the deep integration of automation technology and industrial Internet of things technology,and uses PLC as the perception layer controller to collect operation parameters of pumpjacksin real-time.The collected data is uploaded to Ali cloud server in the form of variable tags,which achieves the fusion,cleaning,storage and management of data with different transmission protocols,and provides basic data for oil process data mining,realizing the centralized monitoring of multi-zone pumpjack production.
作者
黄立华
商宇璠
高国刚
刘浩
HUANG Lihua;SHANG Yufan;GAO Guogang;LIU Hao(Karamay Campus,China University of Petroleum(Beijing),Karamay 834099,China)
出处
《机械制造与自动化》
2025年第4期294-297,共4页
Machine Building & Automation
基金
新疆自治区自然科学基金面上项目(2022D01A251)
克拉玛依市-创新人才专项项目(20212022HJCXRC0005)
中国石油大学(北京)克拉玛依校区青年人才项目(XQZX20230038)。
关键词
工业物联网
数据挖掘
抽油机
云平台
智能监控
industrial internet of things
data mining
pumpjack
cloud platform
intelligent monitoring
