IoT Gas Construction Supervision for Pipeline Pressure Stability
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Solution Overview
Problem
Existing gas construction projects do not consider the impact of new projects on the overall gas pipeline network, leading to potential gas supply anomalies and increased operation costs.
Innovation Solution
An IoT system for smart gas construction supervision that assesses the impact of new projects on existing pipelines, adjusts gas pressure through pressure regulating devices, and optimizes the gas supply system by generating pressure regulating instructions based on monitoring data and regulatory parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If new gas construction projects are introduced without considering overall network impact, then construction progress is achieved, but gas supply anomalies occur in existing pipelines and operation costs increase
Solution Approach 1:
The system performs preliminary impact assessment of new construction projects on the gas pipeline network before construction begins. By analyzing the spatial relationship between construction locations and existing pipelines, the system predicts potential gas supply anomalies and determines preventive pressure regulation strategies in advance, thereby preventing supply disruptions while allowing construction to proceed.
Solution Approach 2:
The system continuously monitors gas pipeline pressure data during and after construction projects. Based on real-time feedback from pressure sensors and construction progress data, the system dynamically adjusts pressure regulation instructions to maintain stable gas supply while accommodating construction activities, resolving the contradiction between construction progress and supply reliability.
2Reliability
If traditional monitoring data analysis is used to identify gas problems, then gas supply issues can be detected, but response time is delayed and operation costs increase
Solution Approach 1:
The system performs preliminary risk assessment by analyzing the spatial relationship between construction projects and gas pipelines before problems occur. By predicting potential impact zones and pre-calculating pressure regulation strategies, the system prepares preventive measures in advance, enabling rapid response when construction begins without waiting for actual supply anomalies to manifest.
Solution Approach 2:
The system replaces traditional manual data analysis and reactive problem-solving with an automated intelligent system that uses spatial analysis algorithms and machine learning models to predict gas supply risks. This substitution enables real-time automated decision-making and pressure regulation, significantly reducing response time while maintaining high reliability.
3Reliability
If pressure regulation is not performed proactively, then system complexity is reduced, but gas supply anomalies and operation costs increase
Solution Approach 1:
The system integrates multiple functions into a unified platform: spatial analysis of construction projects, prediction of gas supply impacts, generation of pressure regulation instructions, and real-time monitoring. This multi-functional integration manages system complexity by providing a comprehensive solution that proactively maintains gas supply stability while coordinating construction activities across the entire network.
Data Source
AI summary
Provide are a method, IoT system, and storage medium for smart gas construction supervision. 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 for announcement and display; 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.