IoT Pipeline Deformation Monitoring With Adaptive Section Segmentation
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Solution Overview
Problem
Current pipeline deformation monitoring in gas pipelines is time-consuming and labor-intensive, lacking timely and accurate assessment of deformation rates, posing safety hazards due to uneven deformations.
Innovation Solution
An IoT system for smart gas pipeline networks that includes platforms for government and gas company management, sensing networks, and equipment and maintenance platforms, enabling automated deformation rate determination, segmentation adjustment, and generation of regulation, monitoring, and maintenance work orders.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If on-site manual inspection is used for pipeline deformation monitoring, then monitoring can be performed, but it is time-consuming and labor-intensive, lacking timeliness
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated IoT monitoring system that uses sensors, data transmission modules, and processing platforms to automatically detect and monitor pipeline deformation, eliminating the need for manual on-site inspection while maintaining monitoring accuracy
Solution Approach 2:
The system enables self-monitoring through automated sensor deployment on pipeline sections that continuously measure deformation and automatically transmit data to the processing platform, allowing the pipeline network to monitor itself without external human intervention
2Loss of time
If automated IoT monitoring system is implemented, then monitoring timeliness is improved, but system complexity increases
Solution Approach 1:
The patent divides the pipeline network into multiple pipeline sections, each equipped with independent sensors and data transmission modules. This segmentation allows the system to monitor different sections independently and process data in manageable units, reducing overall system complexity while improving response time
Solution Approach 2:
The system uses standardized multi-functional components that can be deployed across different pipeline sections. The sensors, transmission modules, and processing platform are designed to handle multiple functions including deformation detection, data transmission, and analysis, reducing the need for specialized equipment for each function
Data Source
AI summary
An Internet of Things (IoT) system, method, and storage medium for deformation monitoring of smart gas pipeline networks are provided, wherein a gas company management platform in the IoT system is configured to: determine a first deformation rate and a second deformation rate of a local pipeline section of a target pipeline within a preset target time period; determine a target deformation rate of the local pipeline section; adjust a segmentation manner of the local pipeline section; determine a height variation, a monitoring frequency, and a maintenance frequency of the adjusted local pipeline section within the preset target time period; generate a base regulation instruction, a monitoring work order, and a maintenance work order respectively; and respectively send to the gas equipment object platform, the gas maintenance object platform, and the gas maintenance object platform.