一种城镇燃气应急抢险方案智能推荐方法
By constructing a knowledge graph for emergency response to urban gas pipelines and utilizing random walk strategies and word vector learning, emergency response plans for gas accidents can be quickly matched. This solves the problems of low efficiency and insufficient scientific rigor in the formulation of emergency plans in existing technologies, and enables rapid and scientific emergency response.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTHWEST PETROLEUM UNIV
- Filing Date
- 2025-06-23
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies make it difficult to quickly formulate scientific and reasonable emergency response plans for gas accidents. Problems include large differences between plans, inability to assess the risk of secondary accidents, difficulty in finding similar historical plans, and uncertainty about the applicability and effectiveness of the plans for the current accident.
Based on the knowledge graph of emergency rescue of urban gas pipelines, a case library and rule library are constructed through random walk strategy and word vector learning to generate embedding vectors and quickly match the emergency response plan most similar to the current gas accident.
This improved the speed and scientific rigor of emergency response plans, reduced the impact of subjective human factors, and ensured the speed and effectiveness of emergency response.
Smart Images
Figure CN120670672B_ABST