Abstract
Aimed at the situation of emergency rescue activity and characteristics of emergency resource distribution for oil and gas long-distance pipeline, its emergency resource demand forecast model was set up, and solved under similar principle based on case-based reasoning (CBR). Through combining attribute value normalization method with Hamming equation in this model, advanced Hamming was introduced which makes the calculation more accurate and convenient. The demand forecast of emergency resource used in emergency rescue activity for oil and gas long-distance pipeline accident will be more rational and effective due to the emergency resource demand of quantity, quality and framework considered simultaneously. The simulation result of emergency resource demand forecast is proved to be of high reliability and the model is of certain practicability. Further, more scientific guidance can be provided to emergency rescue activities of oil and gas long-distance pipeline accidents if uniting the stage of emergency resource demand forecast and dispatching together, and both the efficiency and quality of emergency rescue activity can be advanced effectively.
| Original language | English |
|---|---|
| Pages (from-to) | 350-354 |
| Number of pages | 5 |
| Journal | Dongbei Daxue Xuebao/Journal of Northeastern University |
| Volume | 32 |
| Issue number | SUPPL. 2 |
| Publication status | Published - Dec 2011 |
Keywords
- Case-based reasoning (CBR)
- Demand forecast
- Emergency resource
- Oil and gas long-distance pipeline
- Optimized dispatching