摘要
本文设计并实现了一种针对油田环境的传感器网络监测系统。该系统的硬件包括数据采集、数据处理、通信和控制模块。软件结合深度学习和多传感器融合技术,以实现关键环境参数的实时监测和精确分析。通过云平台集成,该系统实现了远程监控和智能管理。实际测试表明,该系统可靠稳定,能有效满足油田监测需求。
In this paper,a sensor network monitoring system for oilfield environment is designed and realized.The hardware of the system includes data acquisition,data processing,communication and control modules.The software combines deep learning and multi-sensor fusion technology to realize real-time monitoring and accurate analysis of key environmental parameters.Through cloud platform integration,the system realizes remote monitoring and intelligent management.Actual tests show that the system is reliable and stable,and can effectively meet the monitoring needs of the oilfield.
作者
杨璐
YANG Lu(Daqing Oilfield Limited Liability Company Digital Intelligence Technology Company,Daqing Heilongjiang 163000,China)
出处
《信息与电脑》
2024年第15期91-93,共3页
Information & Computer
关键词
油田环境监测
传感器网络
监测系统
oilfield environmental monitoring
sensor network
monitoring system