油气管道线路智能监控管理平台设计开发

The Development of Intelligent Monitoring and Management Platform for Oil and Gas Pipeline

随着城市规模不断扩张,越来越多的长输管道经过人口聚集、建筑物集中区域,一旦管道在这些重点区域发生事故将造成严重的后果。针对管道重点区域管理现状和实际需求,利用摄像头的前端识别功能,开发了基于深度学习的图像后端识别算法,结合物联网技术形成了具备全天候监控、实时智能预警等功能的油气管道线路智能监控管理平台。该平台的应用有效降低了管道遭受第三方损害的风险,提高了管道安全防控水平。

With the rapid expanding of the urban scale, more and more long-distance transportation pipelines pass through populated and built-up areas. Once the pipeline of these key areas occur accidents, serious consequences will be caused. In view of the management status and actual demand of key areas of pipeline, the front recognition function of camera is used, an image back-end recognition algorithm based on deep learning is developed. Using the Internet of things technology, an oil and gas pipeline intelligent monitoring and management platform is built, which has functions of all-weather monitoring and intelligent early warning. The application of the platform reduces the risk of third-party damage and improves prevention and control capacity of pipeline safety.