Smart Gas IoT Maintenance Routing for Pipeline Safety and Flow
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Solution Overview
Problem
Current gas pipeline maintenance methods lack a comprehensive and intelligent approach to select the most appropriate maintenance strategy based on real-time pipeline conditions, leading to inefficiencies and increased costs.
Innovation Solution
A smart gas Internet of Things (IoT) system that collects real-time data from faulty pipelines, generates candidate maintenance schemes, determines a recommended maintenance approach, and sets monitoring points to ensure safety and minimize disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If gas off maintenance is performed to ensure safety and minimize gas leakage, then pipeline maintenance safety is improved, but gas transmission is disrupted and losses increase
Solution Approach 1:
The system dynamically adjusts maintenance strategies based on real-time pipeline conditions, transitioning from static gas-off maintenance to adaptive gas-on maintenance when conditions permit. The intelligent system continuously monitors pipeline state and adjusts maintenance approaches dynamically, allowing gas transmission to continue during maintenance operations when safety conditions are met, thereby reducing energy loss while maintaining safety.
Solution Approach 2:
The system changes operational parameters (gas flow rate, pressure) during maintenance based on intelligent assessment. By adjusting these parameters in real-time according to pipeline condition data, the system enables maintenance to proceed with gas flow present, transforming the traditional binary choice between complete shutdown and unsafe operation into a controlled spectrum of operational states that minimize transmission loss.
2Productivity
If gas on maintenance is performed to maintain gas transmission, then gas transmission continuity is improved, but operational complexity and cost increase
Solution Approach 1:
The intelligent system performs self-assessment of pipeline conditions and automatically generates appropriate maintenance strategies without requiring complex manual evaluation. The system monitors its own operational state, analyzes pipeline data, and determines the optimal maintenance approach autonomously, reducing the operational complexity burden on human operators while maintaining gas transmission continuity.
Solution Approach 2:
The system implements continuous feedback loops where real-time pipeline condition data feeds into the intelligent algorithm, which adjusts maintenance strategies accordingly. This feedback mechanism simplifies operational complexity by providing automated, data-driven guidance rather than requiring complex manual decision-making processes, enabling gas-on maintenance with controlled complexity.
3Ease of operation
If traditional maintenance methods are used without intelligent assessment, then operational simplicity is maintained, but maintenance effectiveness and loss minimization are reduced
Solution Approach 1:
The system replaces manual maintenance decision-making with an intelligent algorithm that processes pipeline data and generates optimized maintenance strategies. This substitution of mechanical/manual operations with intelligent automation maintains ease of operation through user-friendly interfaces while dramatically improving maintenance effectiveness and reducing energy losses through data-driven decision-making.
Data Source
AI summary
The present disclosure provides a method and a system for regulating pipeline network maintenance based on a smart gas Internet of Things (IoT). The method includes obtaining gas data of at least one faulty pipeline, generating at least one set of candidate maintenance schemes based on the at least one faulty pipeline, determining a recommended maintenance approach for the at least one faulty pipeline based on the at least one set of candidate maintenance schemes and the gas data, determining a set of monitoring point locations based on the recommended maintenance approach, and determining a regulation parameter of a regulation device based on monitoring data of the set of monitoring point locations. The system includes a smart gas user platform, a smart gas service platform, a smart gas safety management platform, a smart gas sensing network platform, and a smart gas object platform interacting in sequence.