Gas Pipeline Component Replacement With IoT Shutoff Coordination
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Solution Overview
Problem
Current methods for replacing gas numerical control components in a pipeline network are inadequate in ensuring timely and accurate replacement, leading to potential safety and operational issues in the gas pipeline network.
Innovation Solution
An IoT system is implemented that includes a supervision network to acquire component features, determine replacement necessity, generate replacement tasks, and control gas shutoffs, ensuring coordinated and intelligent component replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If periodic inspections or complete failure detection methods are used to determine replacement timing, then the replacement process is simple to implement, but the timeliness and accuracy of replacement determination deteriorates
Solution Approach 1:
The system implements continuous monitoring of gas numerical control components through multiple sensors that collect operational data in real-time. This feedback mechanism enables the system to detect component degradation trends and predict replacement needs based on actual performance data, transforming the replacement determination from periodic/check-failure based to continuous/condition-based, thereby significantly improving both timeliness and accuracy.
Solution Approach 2:
The system performs preliminary assessment of component replacement necessity by analyzing monitored parameters and predicting future component states before actual failure occurs. This preliminary action allows maintenance personnel to plan and execute replacements proactively rather than reactively, improving replacement timing accuracy while maintaining implementation simplicity through automated decision support.
2Measurement precision
If continuous monitoring and assessment of component replacement necessity is implemented, then the accuracy of replacement determination is improved, but the system complexity increases
Solution Approach 1:
The system segments the complex monitoring and assessment function into distinct modular components: data acquisition modules for different parameter types, processing modules for specific analysis tasks, and output modules for different user groups. This segmentation allows each module to be independently developed, tested, and maintained, reducing overall system complexity while enabling continuous monitoring and accurate replacement determination.
Solution Approach 2:
The system employs universal data processing algorithms and analysis methods that can be applied across different gas numerical control component types and locations. This multi-functionality approach allows the same monitoring and assessment framework to serve multiple purposes and component varieties, reducing system complexity through standardization while maintaining high accuracy in replacement determination.
Data Source
AI summary
A method and an Internet of Things (IoT) system for safely replacing a gas pipeline network component are provided. The method includes: acquiring a component feature of a gas numerical control component based on a data center; determining a replacement necessity degree of the gas numerical control component based on the component feature; determining a replacement parameter based on the replacement necessity degree; generating a replacement task instruction and a gas shutoff parameter based on the replacement parameter; in response to receiving a shutoff parameter confirmation instruction, generating a gas shutoff instruction and transmitting the gas shutoff instruction to a gas supply control device; generating gas shutoff reminder information; and in response to receiving a replacement completion message, determining a replaced component and updating a data partition corresponding to the replaced component.