Adaptive Multi-Stage Pressure Control for Natural Gas Pipelines
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Solution Overview
Problem
Existing booster stations in natural gas pipelines use fixed pressure regulation, leading to over- or under-pressurization in different environments, lack data interaction, and fail to synchronize adjustments during emergencies, posing safety hazards.
Innovation Solution
A multi-stage pressure regulating method and IoT system that adjusts pressure parameters individually at each booster station based on real-time data from distributed monitoring devices, allowing for adaptive and synchronized adjustments across stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed or uniform pressure regulating manner is used in all booster stations, then the system operation is simple, but natural gas may be over-pressurized or under-pressurized in different pipeline branches leading to safety hazards or insufficient delivery
Solution Approach 1:
The patent applies local quality by enabling each booster station to have independent pressure regulating parameters tailored to its specific pipeline branch characteristics. The management platform determines different pressure regulating parameters for different booster stations based on their individual field station information and downstream pipeline data, allowing each station to operate optimally for its local conditions rather than using a uniform setting throughout the entire system.
Solution Approach 2:
The patent implements dynamics by introducing real-time adjustment capability for pressure regulating parameters. The management platform can dynamically modify parameters based on current downstream pipeline data and booster task information, allowing the system to adapt to changing conditions such as varying natural gas demand, pipeline pressure losses, and environmental factors, thereby maintaining optimal operation under different scenarios.
2Device complexity
If booster stations operate independently without data interaction, then each station can be controlled simply, but timely adjustment during emergency situations is prevented creating safety hazards
Solution Approach 1:
The patent merges the control systems of multiple booster stations through the management platform that collects and processes data from all stations. The management platform receives downstream pipeline data from various booster stations, processes this information centrally, and sends updated pressure regulating parameters back to the appropriate stations. This unified approach enables coordinated emergency response across the entire natural gas transmission system while maintaining manageable complexity through centralized processing.
Solution Approach 2:
The patent implements feedback mechanisms where the management platform continuously receives downstream pipeline data from booster stations, analyzes this information, and sends corrective commands back to the stations. This closed-loop feedback system enables real-time monitoring and adjustment during emergency situations, allowing the system to detect and respond to abnormalities such as pressure anomalies or flow disruptions, thereby enhancing overall system reliability.
3Productivity
If pressure regulating parameters are adjusted individually at each booster station, then natural gas delivery efficiency is improved, but the system requires complex data collection and processing capabilities
Solution Approach 1:
The patent applies universality by designing the management platform to perform multiple functions: collecting downstream pipeline data from various booster stations, processing this data to determine optimal pressure regulating parameters, and distributing control commands to the appropriate stations. This multi-functional centralized platform consolidates what would otherwise require complex distributed processing at each station, improving delivery efficiency while managing system complexity through a single versatile coordinating system.
Solution Approach 2:
The management platform serves as an intermediary between the booster stations and the central control system. It receives downstream pipeline data from stations, processes this information to determine optimal parameters, and sends control commands back to the stations. This intermediary role simplifies the overall system architecture by centralizing the complex data processing and decision-making functions, thereby improving natural gas delivery efficiency without requiring each individual station to have complex processing capabilities.
Data Source
AI summary
A multi-stage pressure regulating method and internet of things (IoT) system for natural gas transmission in a distributed energy pipeline are provided. The method includes: determining a base booster parameter of a target booster station; determining a characteristic booster parameter of the target booster station; generating and sending a booster command to control the target booster station to perform a booster operation on natural gas in at least one downstream pipeline branch; in response to the booster command being executed, obtaining transportation status data of natural gas in at least one pipeline branch in a preset area; in response to the transportation status data not satisfying a preset condition, determining a linkage adjustment parameter of the target booster station and an associated booster station; and generating and sending a linkage adjustment command to update the characteristic booster parameter of the target booster station and the associated booster station.