IoT Gas Facility Parameter Adjustment in Pipeline Galleries
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Solution Overview
Problem
Existing methods for risk monitoring in comprehensive pipeline galleries lack the technical means to monitor state data from different locations, leading to inadequate safety assurance for gas facilities.
Innovation Solution
A method and system for parameter adjustment of gas facilities in comprehensive pipeline galleries based on Internet of Things (IoT), which involves obtaining monitoring data from gas and other cabins, determining joint risks, adjusting monitoring parameters, and generating adjustment instructions for prioritized action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If monitoring data is collected from multiple locations in the comprehensive pipeline gallery, then the safety assessment capability is improved, but the system complexity increases due to the need for multiple monitoring positions and data integration
Solution Approach 1:
The comprehensive pipeline gallery is divided into multiple monitoring positions (first monitoring positions in gas cabins and second monitoring positions in other cabins). Each monitoring position independently collects local state data, and the platform integrates these segmented data sources to achieve comprehensive safety assessment without requiring a single complex centralized monitoring system
Solution Approach 2:
The smart gas device management platform performs multiple functions: it collects data from various monitoring positions, determines joint risks, adjusts monitoring parameters, and generates maintenance instructions. This multi-functional platform reduces the need for separate specialized systems for each function, thereby managing system complexity while improving safety assessment capability
2Measurement precision
If the monitoring system considers joint risks from both gas cabins and other cabins, then the risk assessment accuracy is improved, but the data processing complexity increases
Solution Approach 1:
The system determines joint risks by analyzing state data from both gas cabins and other cabins, then uses this risk assessment feedback to adjust monitoring parameters and generate maintenance instructions. This closed-loop feedback mechanism improves risk assessment accuracy by continuously refining monitoring based on actual risk levels while managing data processing complexity through automated decision rules
Solution Approach 2:
The system pre-establishes monitoring position combinations and determines joint risks before actual safety incidents occur. By performing preliminary risk assessment and parameter adjustment in advance, the system improves readiness and accuracy of safety evaluation while reducing the complexity of real-time decision-making during emergencies
Data Source
AI summary
The present disclosure provides a method and a system for parameter adjustment of gas facilities in a comprehensive pipeline gallery based on IoT, the method includes: obtaining first monitoring data of a gas cabin and second monitoring data of other cabins from at least one monitoring position combination; determining a joint risk of the one or more first monitoring positions based on the first monitoring data and the second monitoring data; determining a maintenance parameter and/or adjusting at least one monitoring parameter based on the joint risk; generating at least one adjustment instruction based on adjustment amount of the monitoring parameter, determining an adjustment priority of the at least one monitoring parameter based on a data uploading intensity of the gas cabin, sending the at least one adjustment instruction to the corresponding one or more first monitoring positions based on the adjustment priority sequentially.