Hydrogen Leakage Risk Mapping with Ventilation-Aware Warning Zones
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Solution Overview
Problem
Current methods for hydrogen leakage risk assessment are inadequate, as they primarily focus on single variables and fail to accurately divide risk regions, leading to false early warnings and incomplete safety deployments in hydrogen-related areas.
Innovation Solution
A risk early warning method and system that divides hydrogen-related areas into multiple risk levels based on the speed of hydrogen reaching a deflagration concentration range, using grid division, risk coefficient determination, and a jet cone model to identify high-risk, medium-risk, and safe regions, thereby improving the accuracy of risk level division and early warning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hydrogen-related areas are divided into only safe and risky regions based on single variable (gas concentration), then the early warning system is simple to implement, but the accuracy of risk level division is low and false early warnings occur
Solution Approach 1:
The patent segments the continuous risk spectrum into discrete risk levels (high-risk, medium-risk, low-risk, and safe regions) based on multiple variables including hydrogen concentration, ventilation conditions, and leakage rate. This segmentation transforms the complex continuous assessment into manageable discrete categories, improving measurement precision while maintaining practical implementability through clear classification criteria.
Solution Approach 2:
The patent changes from using a single parameter (hydrogen concentration) to multiple parameters (concentration, ventilation rate, leakage rate, and spatial position) for risk assessment. This multi-parameter approach fundamentally improves the accuracy of risk level division by capturing the complex interplay of factors that determine actual risk, while the systematic framework keeps the implementation complexity manageable.
2Reliability
If sensors are directly arranged for supervision without systematic analysis of risk degrees, then the early warning system is easy to deploy, but the effect of the alarm system cannot be fully exerted
Solution Approach 1:
The patent performs preliminary systematic analysis to determine risk levels and appropriate sensor arrangements before deploying the monitoring system. By pre-calculating risk regions based on ventilation conditions, leakage sources, and spatial characteristics, the system optimizes sensor placement and alarm thresholds in advance, ensuring maximum effectiveness without requiring complex real-time adjustments during operation.
3Measurement precision
If risk regions are divided without considering ventilation information and leakage sources, then the early warning system is simple to operate, but false early warnings increase and safety deployment is incomplete
Solution Approach 1:
The patent segments the assessment process into distinct modules: ventilation condition assessment, leakage source identification, spatial risk mapping, and alarm threshold determination. This modular segmentation allows each component to be evaluated independently using standardized criteria, improving overall accuracy while maintaining operational simplicity through systematic step-by-step procedures.
Solution Approach 2:
The patent incorporates multiple dynamic parameters including real-time ventilation rates, leakage source strength, and spatial position to continuously update risk level divisions. By systematically integrating these parameters through established calculation methods, the system achieves high accuracy in early warning while maintaining ease of operation through automated computation and clear decision rules.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for precise identification of high-risk regions and accurate risk level division, enhancing the effectiveness of early warning systems and reducing the likelihood of false alarms by considering ventilation information and leakage sources.
Implementation Method 1
determining a high-risk region by means of a jet cone model according to the risk coefficients
Data Source
AI summary
The present disclosure relates to a risk early warning method and system for hydrogen leakage, and relates to the field of hydrogen leakage. The method includes: obtaining ventilation information of a hydrogen-related area; carrying out grid division on a pipeline system of the hydrogen-related area to obtain a gridded pipeline system; determining a risk coefficient corresponding to each grid of the gridded pipeline system according to leakage sources of the pipeline system; determining a high-risk region by means of a jet cone model according to the risk coefficients; determining a medium-risk region, a low-risk region and a safe region according to the risk coefficients and the ventilation information; and carrying out risk early warning according to the high-risk region, the medium-risk region, the low-risk region and the safe region.