一种油田管道集群化泄漏监测系统
By using a clustered leak monitoring system for oilfield pipelines, combined with a central platform, redundant blockchain, and regional monitoring platforms, efficient and accurate location and resource optimization of oilfield pipeline leaks have been achieved. This solves the problems of insufficient location accuracy and resource waste in existing technologies, and improves the stability and response efficiency of the system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN DONGFANG HONGYE TECH CO LTD
- Filing Date
- 2025-06-30
- Publication Date
- 2026-07-17
AI Technical Summary
Existing oilfield pipeline leak monitoring technologies suffer from insufficient location accuracy, resource waste, and inadequate dynamic response. In particular, centralized management cannot respond promptly to changes in pipeline operating status.
An oilfield pipeline clustered leak monitoring system is adopted. Through regional management, dynamic adjustment mechanism and global collaborative management, combined with central platform, redundant blockchain and regional monitoring platform, multi-level detection and dynamic task allocation are realized. Gradient descent algorithm is used to optimize task allocation path, and self-learning module is used to optimize flow reduction threshold and vibration spectrum matching weight.
It improves the location accuracy and resource utilization of pipeline leak monitoring, enhances the stability and reliability of the system, enables timely response to changes in pipeline operating status, and reduces resource waste.
Smart Images
Figure CN120740035B_ABST