一种天然气泄漏扩散动态可视化方法及系统
By acquiring multimodal data from multiple sources of sensors and combining it with risk zone delineation and diffusion model generation, accurate monitoring and intelligent prevention and control of natural gas leaks have been achieved. This solves the problems of inaccurate monitoring and untimely prevention and control in existing technologies and improves the ability to respond to natural gas leak accidents.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XIAN UNIV OF SCI & TECH
- Filing Date
- 2025-11-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing natural gas leak monitoring technologies are unable to achieve large-scale, multi-regional synchronous monitoring, have low data accuracy, lack multi-source data fusion mechanisms, and lack intelligent and real-time prevention and control measures, resulting in inadequate response to leak accidents.
By employing multi-source sensors to acquire multimodal leakage data, and through risk zone delineation, diffusion model generation, cross-modal data fusion, dynamic control decision-making, and visualization trajectory generation, a closed-loop feedback mechanism is formed to achieve accurate monitoring and intelligent prevention and control of natural gas leaks.
It has achieved comprehensive, high-precision, and intelligent monitoring and prevention of natural gas leaks, improved the accuracy of risk area identification and the pertinence and timeliness of prevention and control measures, and reduced the harm caused by accidents.
Smart Images
Figure CN121163765B_ABST