Construction-Aware Gas Pipeline Pressure Adjustment
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Solution Overview
Problem
Existing gas pipeline management systems fail to consider the impact of new construction projects on the overall gas pipeline network, leading to unnecessary gas supply anomalies and increased operation costs.
Innovation Solution
An IoT system that integrates various platforms to assess the impact of new gas construction projects on existing pipelines, determining regulatory parameters for pressure adjustment using machine learning models, and adjusting pipeline pressures to optimize the gas supply system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If new gas construction projects are introduced without considering the overall pipeline network, then construction progress is achieved, but gas supply anomalies occur in existing regions and operation costs increase
Solution Approach 1:
The system performs preliminary assessment of the impact level of new gas construction projects on the overall pipeline network before construction begins. By analyzing monitoring image data and determining project impact levels in advance, the system generates pressure regulation instructions proactively to prevent gas supply anomalies, rather than reacting after problems occur.
Solution Approach 2:
The system establishes a feedback mechanism where monitoring image data from construction sites is continuously analyzed, project impact levels are determined, and pressure regulation instructions are generated and sent to gas pressure regulating devices. This closed-loop feedback system ensures real-time coordination between construction activities and pipeline pressure management.
2Difficulty of detecting and measuring
If traditional monitoring data analysis is used to identify gas problems, then problem detection is achieved, but the overall pipeline network impact is not considered and unnecessary operation costs increase
Solution Approach 1:
The system uses a unified monitoring image data analysis approach that serves multiple functions: it detects construction progress, assesses project impact levels on the overall pipeline network, and generates pressure regulation instructions. This multi-functional system replaces multiple separate analysis processes, reducing redundant operations and lowering overall operation costs.
Solution Approach 2:
The system introduces an intermediary assessment mechanism that analyzes monitoring image data to determine project impact levels before generating pressure regulation instructions. This intermediary step ensures that pressure regulations are only applied when necessary, avoiding unnecessary operations and reducing energy consumption and operation costs.
3Ease of operation
If pressure regulation is applied without accurate impact assessment, then gas supply adjustments are made, but unnecessary pressure changes occur and operation costs increase
Solution Approach 1:
The system determines project impact levels and generates pressure regulation instructions in advance based on monitoring image data analysis, before actual construction impacts occur. This preliminary action ensures that pressure regulations are precise and necessary, avoiding unnecessary adjustments and reducing operational energy consumption.
Data Source
AI summary
Provide are a method, an IoT system, and a storage medium for smart gas pipeline pressure adjustment. The method includes: obtaining monitoring image data from a gas supervision device; determining a project impact level and a project estimated completion time of a gas construction project based on the monitoring image data, sending the project impact level to a gas company management platform, and sending the project estimated completion time to a citizen user platform; determining regulatory parameters based on the project impact level and the project estimated completion time, and sending the regulatory parameters to a gas equipment object platform; obtaining pipeline pressure values through one or more gas pressure regulating devices; determining a fluctuation characteristic or a pressure difference distribution characteristic based on the pipeline pressure values; and generating a pressure regulating instruction based on the regulatory parameters, and the fluctuation characteristic or the pressure difference distribution characteristic.