Smart Gas IoT Repair Sequencing for Pipeline Supply Continuity
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Solution Overview
Problem
Gas pipeline failures due to external factors like corrosion and vibration are not efficiently managed, leading to inefficient and sometimes unreasonable repair scheduling by gas companies, which can disrupt gas supply and require manual intervention.
Innovation Solution
An IoT system for pipeline repair based on smart gas, involving a citizen user platform, government supervision platforms, and gas company management platforms, to determine a rational repair sequence using equipment information, feedback, and monitoring data, ensuring timely and efficient repair scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processing is used to schedule repairs, then equipment complexity is reduced, but productivity and reliability deteriorate due to inefficient scheduling
Solution Approach 1:
The system enables automatic self-scheduling of repair tasks through an algorithm that autonomously determines repair sequences based on pipeline status, equipment availability, and gas supply demands, eliminating the need for manual intervention while optimizing productivity
Solution Approach 2:
The patent replaces manual mechanical scheduling processes with an automated computer-based system that uses algorithms to determine repair sequences, substituting human decision-making with electronic computation to improve efficiency and consistency
2Measurement precision
If more monitoring data is collected, then measurement precision improves, but loss of time increases due to data processing requirements
Solution Approach 1:
The system performs preliminary data filtering and preprocessing before analysis, pre-organizing monitoring data from multiple sensors into structured formats that ready-for-immediate-processing, thereby reducing the time required for subsequent analysis while maintaining high measurement precision
Solution Approach 2:
The patent extracts only the critical and relevant information from the vast amount of monitoring data, separating essential pipeline status parameters from redundant data, which reduces processing time while preserving measurement accuracy for key decision-making factors
3Productivity
If repair operations are accelerated, then productivity improves, but reliability may deteriorate due to rushed operations
Solution Approach 1:
The system dynamically adjusts repair operation speeds and sequences based on real-time conditions, allowing accelerated progress where safe and maintaining careful execution where precision is critical, thereby optimizing both productivity and reliability through flexible, adaptive control
Solution Approach 2:
The patent implements continuous feedback loops where monitoring data from repair operations is fed back to the scheduling system, allowing real-time adjustment of repair pace and methodology to ensure quality standards are met while maximizing completion speed based on actual operational conditions
Data Source
AI summary
Embodiments of the present disclosure provide a method, an Internet of Things (IoT) system, and a medium for pipeline repair based on smart gas. The method is executed based on a government supervision and management platform of the IoT system for pipeline repair based on smart gas. The method includes: obtaining pipeline repair equipment information and pipeline data to be repaired; determining a pipeline repair sequence based on the pipeline repair equipment information and the pipeline data to be repaired; based on the repair commands, performing at least one of the following operations: receiving feedback information; determining an updated collection frequency for a pressure regulating equipment and a gas metering device deployed on a target gas pipeline based on the feedback information; and generating a repair update command based on the pipeline data to be repaired, a pressure regulating parameter, a gas supply parameter, and a monitoring data.